\r\n\tWe need such information of the environmental indicators day and night, from the crowded cities and the most remote locations. Therefore the study, development, and application of automated sensing systems have been booming during the last decades and the progress in this field is really fast.
\r\n
\r\n\tThe current book intends to provide the reader with the most recent trends in the development of sensing technologies for environmental control and monitoring, application of these novel technologies for the detection and monitoring of different environmental indicators, but also identification of hazardous chemical compounds and pathogens, and to introduce various aspects of using the online sensing data for decision-making in different fields of social life. \r\n\t
",isbn:"978-1-80355-838-7",printIsbn:"978-1-80355-837-0",pdfIsbn:"978-1-80355-839-4",doi:null,price:0,priceEur:0,priceUsd:0,slug:null,numberOfPages:0,isOpenForSubmission:!0,isSalesforceBook:!1,isNomenclature:!1,hash:"cf1ee76443e393bc7597723c3ee3e26f",bookSignature:"Dr. Toonika Rinken and Dr. Kairi Kivirand",publishedDate:null,coverURL:"https://cdn.intechopen.com/books/images_new/11664.jpg",keywords:"Chemical Sensors, Biosensors, Detection Principles, Environment Quality, Residues, Hazardous Compounds, Pathogens, Natural Toxins, Controlling Climate Change, Rapid Warning Systems, Penalties for Pollution, Identification of Contamination",numberOfDownloads:null,numberOfWosCitations:0,numberOfCrossrefCitations:null,numberOfDimensionsCitations:null,numberOfTotalCitations:null,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"March 2nd 2022",dateEndSecondStepPublish:"May 4th 2022",dateEndThirdStepPublish:"July 3rd 2022",dateEndFourthStepPublish:"September 21st 2022",dateEndFifthStepPublish:"November 20th 2022",dateConfirmationOfParticipation:null,remainingDaysToSecondStep:"23 days",secondStepPassed:!0,areRegistrationsClosed:!1,currentStepOfPublishingProcess:3,editedByType:null,kuFlag:!1,biosketch:"Long-time lecturer of environmental chemodynamics and researcher in biosensing technologies, inventor of pioneering technical solutions, and holder of several registered patents.",coeditorOneBiosketch:"Researcher at the University of Tartu and expert in the application of liquid chromatography systems for the extraction and purification of bioactive compounds.",coeditorTwoBiosketch:null,coeditorThreeBiosketch:null,coeditorFourBiosketch:null,coeditorFiveBiosketch:null,editors:[{id:"24687",title:"Dr.",name:"Toonika",middleName:null,surname:"Rinken",slug:"toonika-rinken",fullName:"Toonika Rinken",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRhRjQAK/Profile_Picture_1636637493542",biography:"Toonika Rinken is an associate professor in environmental chemistry and is leading a biosensor development lab at the Institute of Chemistry in the University of Tartu, Estonia. She received her PhD degree in chemistry in 2000 in the same university for the modeling and calibration studies of biosensors and has passed professional self-improvement in Uppsala (Sweden) and Gröningen (the Netherlands). Dr. Rinken's research activities are focused on the studies and development of biosensing systems for automatic monitoring along with testing and application of biosensor based analytical systems.",institutionString:"University of Tartu",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"5",totalChapterViews:"0",totalEditedBooks:"5",institution:{name:"University of Tartu",institutionURL:null,country:{name:"Estonia"}}}],coeditorOne:{id:"174179",title:"Dr.",name:"Kairi",middleName:null,surname:"Kivirand",slug:"kairi-kivirand",fullName:"Kairi Kivirand",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRGZyQAO/Profile_Picture_1636637741285",biography:"Dr. Kairi Kivirand is a researcher at the University of Tartu. She received a Ph.D. in environmental chemistry in 2011 for her studies on biosensors for biogenic amines. Her research activities are focused on the purification, identification and characterization of bioactive molecules and on the design and development of biosensing systems for variety range of applications. She is an expert in the application of liquid chromatography systems for the extraction and purification of bioactive compounds. 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From chapter submission and review, to approval and revision, copyediting and design, until final publication, I work closely with authors and editors to ensure a simple and easy publishing process. I maintain constant and effective communication with authors, editors and reviewers, which allows for a level of personal support that enables contributors to fully commit and concentrate on the chapters they are writing, editing, or reviewing. I assist authors in the preparation of their full chapter submissions and track important deadlines and ensure they are met. I help to coordinate internal processes such as linguistic review, and monitor the technical aspects of the process. As an ASM I am also involved in the acquisition of editors. 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Venkateswarlu",coverURL:"https://cdn.intechopen.com/books/images_new/371.jpg",editedByType:"Edited by",editors:[{id:"58592",title:"Dr.",name:"Arun",surname:"Shanker",slug:"arun-shanker",fullName:"Arun Shanker"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"72",title:"Ionic Liquids",subtitle:"Theory, Properties, New Approaches",isOpenForSubmission:!1,hash:"d94ffa3cfa10505e3b1d676d46fcd3f5",slug:"ionic-liquids-theory-properties-new-approaches",bookSignature:"Alexander Kokorin",coverURL:"https://cdn.intechopen.com/books/images_new/72.jpg",editedByType:"Edited by",editors:[{id:"19816",title:"Prof.",name:"Alexander",surname:"Kokorin",slug:"alexander-kokorin",fullName:"Alexander Kokorin"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}}]},chapter:{item:{type:"chapter",id:"67420",title:"Metabolite Multiprobiotic Formulas for Microbial Health",doi:"10.5772/intechopen.86449",slug:"metabolite-multiprobiotic-formulas-for-microbial-health",body:'\n
\n
1. Introduction
\n
Pro-/sym-/synbiotics are important objects of human microecology and medical biotechnology [1, 2, 3, 4]. Microbes and human communicate each other by the way of recognition and binding glycoconjugates (GC) of varying pattern complexity by proteins (mainly adhesions and lectins) [5, 6, 7, 8, 9]. Lectin systems (LS) of symbiotic/probiotic microorganisms (LSSM) recognizing GC represent new multifunctional factors [8, 9, 10, 11, 12]. LSSM are relatedly useful for human protein-/peptide-containing compounds and their complexes recognizing GC. LSSM reveal features of imitators of probiotics; members of new class of bacteriocin-like destructors of biofilms of yeast-like fungal and Gram-positive pathogens; systems cofunctioning together with enzymes of all known classes; and agents possessing antipathogenic synergism of different LS in antimicrobial combinations (between LS of Lactobacillus species and Bifidobacterium species, between genera Lactobacillus and Bifidobacterium, between LS of probiotic bacteria and lectins from medical plants, between LSSM and antibiotics) (see Table 2) [8, 9, 13, 14].
\n
LS reveal significantly higher multifunctionality (antimicrobial, cytokine-like, others) and adaptive ability in surroundings in comparison to any component of LS. Applied prospects of LSSM in microbial associations of biotopes in the human body are of promised interest. LSSM and their reactive GC support balanced functioning in organism in respect to evolutionary created mucosal organ-like infrastructures of mutual interest for human and biotope microbiocenoses (MB) [12].
\n
The purpose of the review is to evaluate our approaches in creation of probiotic metabolite compositions influencing and improving health of human biotope microbiocenoses. The data presented will be of interest for investigators in the fields of both medical microbiology and laboratory and industrial medical biotechnology.
\n
\n
\n
2. Methods
\n
Lactobacillus and Bifidobacterium strains were from the collection of microorganisms of the normal microflora of G. N. Gabrichevsky Institute for Epidemiology and Microbiology, and probiotics Bifidin and Acilact were products of our institute. Bacteria were grown in media containing casein hydrolysate and yeast autolysate. LSSM were extracted from the protein fractions 27–220 kD using isoelectrofocusing (IEF) in a plate of polyacrylamide gel (PAG) in a gradient of pH 4–8. Identification of proteins was performed by electroblotting on a hydrophobic membrane and staining with SYPRO blot stain (Bio-Rad Lab.). Nonstained proteins were evaluated by other spectrophotometric methods. The distribution of LSSM among proteins was determined by treatment of blots with biotinylated GC (GC-b) containing multiple residues of sugar(s) linked to the polyacrylamide (PA) linear core (like in external phenotypes of mucins and mucin-type glycans) (www.lectinity.com; Table 1) followed by final treatment with streptavidin-peroxidase conjugate. The bound peroxidase on the blot was registered in the presence of a chemiluminescent substrate in regime of a real time in the system BioChemi System (UVP, CA). Antimicrobial activities and synergism of LSSM, antibiotics, and phytolectins were tested on solid agar media during the prolonged growth and survival of communicative fungal bodies (CFB) in the presence of disks of antimicrobials. Biosurfactants were tested and calculated using detection of sample drop activity against mineral oil film on water surface (the appearance of transparent circles). Amino acid compositions of samples were established using standard amino acid analyzer column chromatography. Oxidoreductase systems were detected on blots after IEF-PAG, resulting in kinetic protein stain disappearance (decolorization). Hydrolase systems were visually evaluated on blots after IEF-PAG (resulting in hydrolysis, splitting, and partial asymmetrical disappearance of protein bands). Maillard reaction products were partially evaluated as browning in culture supernatant according to optical density at 420 nm.
Adi-PA-b (A-blood group substance GalNAcβ1-3GalβА1-)
\n
\n
\n
12.
\n
Fs-PA-b (Forssman antigen GalNAcβ1-3GalNAcβА1-)
\n
\n
\n
13.
\n
Tαα-PA-b (bacterial antigen Galα1-3GalNAcα1-)
\n
\n\n
Table 1.
A list of synthetic GC used.
In brackets—natural substances which are imitated
\n
\n
\n
3. Results and discussion
\n
\n
3.1 Symbiotic lectins as system regulators and delivery agents
\n
LSSM function as metabolomebiotics regulating metabolome according to the principle “LSSM network—whole organism metabolome network or interactome” [15]. The network of LSSM is created in the following manner: lectin molecule of determined molecular weight (in the Laemmli system) is represented by LS including forms of varying charge and possessing a range of biological and physiological activities; such a minimal LS can be further transformed in a natural manner into extended network of complexes and supramolecular ensembles as a result of directional and sequential cascade binding of carbohydrates and GC. As a result of forming complexes and ensembles, lectin specificity of complexes and ensembles can be modified or changed during further development of recognition cascade network that will change the summary vector of specificity of LS. The latter will result in dynamic qualitative and quantitative changes of the local biotope surrounding. Thus, the final whole resulting network of LSSM (as metabolomebiotics) will regulate the whole metabolome and interactome of organism involving human glycome (carbohydrates and GC: glycoproteins, glycoenzymes, glycolipids, receptors, and others [16]). The metabolome possesses the ability to back direct and reversible effects of LSSM representing a part of hierarchic interactome. Multiple forms of adapted functioning LSSM microbiocenosis in the biotope will depend on the originality developed in a joint process of evolution involving host body local infrastructures for the distribution and disposition of microbiocenoses (organ-type constructions of both host and microbiocenosis interests are possible) [11, 12]. LSSM are ready to realize biologically active GC (as prebiotics, therapeutic agents, and metabiotics) in such symbiotic organs. The network of LSSM functions as noncellular simulators of symbiotics (probiotics) in the direct or indirect (through human higher hierarchic protection systems) predictable manners. For example, of communications between LSSM and own human protection systems, LSSM (as well as phytohemagglutinins from plants of medical significance) and artificial polymeric GC influenced peritoneal macrophage mobility in a coupled manner depending on doses of agents; LSSM were involved in modulation of cytokine production by human blood leukocytes [9, 17].
\n
New useful properties of LSSM can be predicted and verified (cofunctioning to enzymes, adhesion, etc.), based on the fact that LSSM form a functional superfamily of symbiotic lectins (on example of probiotic lectins and lectins of nitrogen-fixing bacteria). In addition, LSSM are members of the new class of destructors of biofilms of yeast-like and Gram-positive pathogens that simplify antimicrobial choice of components among LSSM. Other possibilities to operate with LSSM include their potential participation in a set of hierarchic pathways of advanced human innate protective systems in biotopes for cross talks. Both types of communications allow LSSM to be a successful synergistic assistant against pathogens in biotopes together with other antimicrobials and antimicrobial physical stress factors. As a result, LSSM reveal prolonged (early and late) anti-Candida activities as cascade (coupled) actions possibly influencing microecological niches of pathogens within biotope [registered during coculturing in the first 3 days (early events; also involving probiotic-like leader strains of L. acidophilus and L. casei), 1–2 weeks, or 2–3 months (late events)] [18].
\n
The used GC are characterized with known chemical structures simplifying interpretation and prognostics of results. Such GC reveal potential of metabiotics which may use LSSM as carriers [8, 12, 19]. As highly homogenous, synthetic GC better functionally imitate natural GC targets [bacterial proteoglycans, fungal (phosphor)mannans, others] important for antimicrobial/anti-infectious actions of LSSM. As a result, LSSM are very perspective in delivery and deposition of adequate specific GC which are locally releasing as therapeutics possessing anti-infectious, prebiotic, and/or communicative signal abilities and actions.
\n
In biotopes LSSM participate in continuous (on-duty) support and periodical (biorhythmic) completion and exchange of normal GC décor of cells, tissues, and organs that must provide delaying or stopping further the development of the spot/island/mosaic-landscape-originated and directed/metastasized abnormal processes as well as conserve any negative currently developmental events (initiation of appearance and survival of tumor-like cells as a result of innate intercellular communications involving lectin receptor-coupled cell surface receptor mosaics).
\n
LSSM (natural combinative sets of LSSM-GC complexes) influence all yeast-like fungal phases of life by prolonging the degradation and lysis of pathogenic microbiocenosis massifs or biofilms in human biotopes (on examples of Candida species). In respect to CFB functioning as niches, lectins of lactobacilli (LL as preferentially mucins/mucus-recognizing) and lectins of bifidobacteria (BL as preferentially mannan-recognizing) synergistically act against internal and peripheral subniche territories, respectively. The late destructive and lytic events in CFB may also take place due to LSSM cooperative complex action as metabolomebiotics together with hydrolases involved in pathogen destruction network. Synergistic actions between LSSM and other antifungals increase resulting in final (early or late [also of apoptotic origin]) antipathogenic events as shown in Table 2 [20].
From p-cLL to CR (p-cLL—p-aLL) From p-aLL to CR (p-aLL—p-cLL)
\n
C. albicans 515, 547 C. albicans 515, 547
\n
\n
\n
Intra-genus (Bifidobacterium)
\n
aLL and aBL
\n
p-aLL and c-aBL (p-aLL—c-aBL)
\n
C. albicans strains
\n
\n
\n
Intra-genus (Bifidobacterium)
\n
aBL and cBL
\n
[PR aBL] and [CR aLL]
\n
C. albicans strains
\n
\n
\n
Inter-genera (Lactobacillus and Bifidobacterium)
\n
aBL and aLL aLL and aBL
\n
[PR aBL] and [CR aLL] (p-aBL—p-aLL) [PR aLL] and [CR aBL]2* (p-aLL—p-aBL)
\n
C. albicans strains S. aureus strains
\n
\n
\n
Between PL and phytolectins
\n
\n
\n
Between PL and grass lectins (GL)
\n
aLL and GL cBL and GL
\n
From aLL to CR (p-MGBL—p-aLL) From p-cBL to CR (p-MGBL—p-cBL)
\n
C. albicans 515 C. albicans 515
\n
\n
\n
Between PL and antimycotics
\n
\n
\n
Between PL and amphotericin B
\n
aBL
\n
p-Amphotericin B, c-aBL (p-Amphotericin B—c-aBL)
\n
C. albicans strains > C. tropicalis strains
\n
\n
\n
Between PL and itraconazole
\n
aBL
\n
c-Itraconazole, p-aBL (p-Itraconazole—p-aBL)
\n
C. albicans strains
\n
\n
\n
Between PL and ketoconazole
\n
aBL
\n
p-Ketoconazole, c-aBL (p-Ketoconazole—c-aBL)
\n
C. albicans strains
\n
\n
\n
Between PL and nystatin
\n
cLL cBL
\n
From p-cLL to CR (p-cLL—c-nystatin) From cBL to CR (p-cBL—c-Nystatin)
\n
C. albicans 515, 547 C. albicans 515, 547
\n
\n
\n
Between GL and nystatin
\n
GL
\n
From p-MGBL to CR (p-MGBL—c-nystatin)
\n
C. albicans 515
\n
\n
\n
Multiple synergism
\n
\n
\n
Between BL and LL
\n
aBL, aLL
\n
In triangle of CFB landscape: p-aBL + c-aBL + p-aLL (p-aBL—c-aBL; p-aLL—c-aBL)
\n
C. albicans strains (Not for C. tropicalis)
\n
\n\n
Table 2.
Antimicrobial synergism of LSSM and antibiotics.
Diffusion between disks placed on Sabouraud agar in Petri dishes (disk positions: p, peripheral; c, central; CR, central region, between p-disk and the center; PR, peripheral region, between p-disk and the border of agar). Disks included anionic (a) and cationic and (c) lactobacillar and bifidobacterial LSSM (aLL, cLL, aBL, cBL). MGBL as the mixture of the grass lectins from the mill of plants of medical significance: Potentilla album and Stellaria media. Lectins were used in subhemagglutinating doses (less 1 microgram/ml). Standard panel of disk antimycotics (HiMedia Lab. Pvt. Ltd.) was used. CFB, communicative fungal bodies.
\n
Endogenous LS antimicrobial actions (e.g., intestinal probiotic bifidobacterial and lactobacillar LS against intestinal yeast-like fungi) provide more directed, sensitive, and completed resulting effectiveness against pathogens (the primary absence and further late complete destruction of residual resistant colonies in external and internal regions of CFB of Candida albicans) compared to the action of phytolectin mixture from grasses of medical significance in the same conditions. In cases of antibiotic-resistant strains, relatively sensitive to LSSM C. albicans strain 547 (less potentially pathogenic compared to the strain 515, see below), the sorbed lactobacillar cationic LS revealed their synergistic ability to “regenerate” original anti-Candida effectiveness of antibiotic (on example of nystatin) in the internal region of CFB of yeast-like fungus (appearance of pathogen-free landscape connected to the border of the disk antibiotic). The phenomenon of synergistic reparation of the original ability of the sorbed antibiotic indicates prospects of additional mechanisms of LSSM combinative actions and partially describes how to increase resulting antifungal effectiveness during prolonged contact to pathogenic CFB at fungal late steps. In the case of more resistant (potentially “more pathogenic”) fungal strains (like C. albicans strain 515), the sorbed bifidobacterial cationic LS synergistically increased anti-Candida action of the grass phytolectin mixture.
\n
Results indicate that LSSM may also participate in temporary separation and conservation of natural infectious biofilms to prevent early visual landscape development of diseases. The latter may be perspective as the assistant factor of improving quality of life (its prolongation, mucus and skin reparations, cosmetic significance, etc.) as it can be expected using symbiotics [21].
\n
On the whole, our experimental approach (observations of antagonistic relationships between LSSM and pathogens in prolonged stress conditions) and the data obtained are supported by the conception describing microecological stress events in organism as the normal but sensor natural reactions [22].
\n
\n
\n
3.2 The choice of strains and their consortia possessing potential for constructing new multistrain pro- and symbiotics
\n
Screening, choice, and selection of new or improved antimicrobial and other useful properties of symbiotic (probiotic) cultural properties of strains and consortia of human MB are important and strategic goals in prophylaxis and therapy of diseases, increasing resistance of organism and the acceleration of patient rehabilitation [1, 2, 3, 4, 23]. Among GC investigated, glycans of mucin type (mucosal glycans) reveal special interest [24].
\n
On the basis of own results, we proposed new algorithm of screening adequate probiotic-like microorganisms and their consortia possessing increased directed anti-infectious LS to construct new multipro-/sym-/synbiotics. The algorithm using LSSM (involving complexes to GC) among a panel of key factors in creating multiprobiotics (MP) included (a) the choice of synthetic GC-imitating bacterial proteoglycans and (phospho)mannans of yeast-like fungi; (b) identification of different LSSM (GC-type-dependent) among proteins of cultural fluids of probiotic strain or consortium of strains; (c) comparison of (GC-type)-dependent LS (evaluation of summary LS intensity, length of LS distribution in pH-gradient tested, mosaic asymmetric configuration of distributed forms in LS, major forms as dominating in contribution to antimicrobial actions of LS, minor forms as expressing signal regulators of biorecognition in microbiocenoses, signals of communications to surrounding infrastructures, as well as additional participants of recognition of new types of biomarker GC); (d) identification of unique sets of components of LS significant for typing strains, species, or genera; (e) revealing and choice of combinative sets of potential antimicrobial forms of LS for further control and testing; and (f) control of antimicrobial activities initiated, supported, and/or influenced by LS-containing preparations in other (nondependent) methods.
\n
The data which were useful for constructing any multiprobiotics (Acilact-like) is presented in Table 3.
\n
\n
\n
\n
\n\n
\n
No.
\n
Parameters of supernatants, ranging MP and its strains, proposals (P)
Content of partially hydrolyzed protein K3III24 > MP > 100 ash > NK1 P: K3III24 as the main source of active or signal oligopeptides
\n
3. 4. 2. 1.
\n
\n
\n
1.1
\n
Acidic proteins pI 4–5 NK1 > 100 ash > K3III24 > MP P: NK1 as the main source of basis cytoagglutinating and adhesive agents coupled to a spectrum of biological activities
\n
1. 2. 3. 4.
\n
\n
\n
1.2
\n
Cationic proteins pI 7–8 NK1 > K3III24 > 100 ash > MP P: Strains and their combinations as sources of lectins and lectin-like agents coupled to exopolymeric substances of compounds
\n
1. 3. 2. 4.
\n
\n
\n
1.3
\n
Oxidase-reductase systems pI 5–5.5 MP > 100 ash > K3III24 > NK1[absence] P: NK1 without extracellular major oxidoreductase systems
\n
4. 2. 3. 1.
\n
\n
\n
1.4
\n
Hydrolase systems MP > K3III24 > 100 ash > NK1 P: NK1 without extracellular major hydrolases (caseinases, peptidases, others)
\n
4. 3. 2. 1.
\n
\n
\n
1.5
\n
Level of aggregation upon storing concentrates K3III24 > 100 ash > NK1 > MP[no aggregation] P: Irreversibility for K3III24 (similar to red cell biofilm storing)
\n
3. 2. 1. 4.
\n
\n
\n
1.6
\n
Ability in membrane ultrafiltration MP > NK1 > 100 ash > K3III24 P: Technological advantage of MP as mixture of strains (mixture of strains is needed)
\n
4. 1. 2. 3.
\n
\n
\n
2
\n
Status of amino acids
\n
\n
\n
2.0
\n
Production of amino acids NK1 > K3III24 > MP > 100 ash P: Low antagonism between certain strains within MP can be under consideration upon strain choice
\n
1. 3. 4. 2.
\n
\n
\n
2.1
\n
Tyr (sites for serine proteinases, fluorophores) K3III24 > 100 ash > MP > NK1 P: Tyr can serve as criterion of utilization of fluorophores
\n
3. 2. 4. 1.
\n
\n
\n
2.2
\n
Phe (sites for serine proteinases, fluorophores) NK1 > MP > K3III24 > 100 ash P: Support of point 2, revealing mechanism for point 2
\n
1. 4. 3. 2.
\n
\n
\n
2.3
\n
Fluorophores (Trp, Tyr) (excitation at 254 nm) 100 ash > K3III24 > NK1 > MP P: Dominated contribution of Tyr and their derivatives
\n
2. 3. 1. 4.
\n
\n
\n
2.3.1
\n
Fluorophores (excitation at 365 nm) 100 ash > K3III24 > NK1 > > MP P: Degradation/ utilization in MP (fluorophores cannot be used as targets)
\n
2 3 1 4
\n
\n
\n
2.4
\n
Gly (hydrophobic, anti-adhesion action) NK1 > MP > K3III24 > 100 ash P: Gly as natural additive to improve signal activities and communications
\n
1. 4. 3. 2.
\n
\n
\n
2.5
\n
Leu (hydrophobic, site for peptidases) (Parameter is slightly dependent on strain origin) K3III24 > 100 ash > MP, NK1
Ile (hydrophobic, participation in synthesis of biologically active volatile fatty acids) K3III24 > 100 ash > MP > NK1
\n
3. 2. 4. 1.
\n
\n
\n
2.7
\n
Ala (partially from peptidoglycans, site for exopeptidases) MP > K3III24, 100 ash > NK1 P: Antagonism between strains results in partial cell wall degradation in MP
\n
4. 2/3. 3/2. 1.
\n
\n
\n
2.8
\n
Ser (sites for hydrolase splitting and O-glycosylation) MP > K3III24 > 100 ash > NK1 P: Support of point 1.4
\n
4. 3. 2. 1.
\n
\n
\n
2.9
\n
Thr (site for O-glycosylation) NK1 > 100 ash > MP > K3III24 P: Thr as criterion for evaluation of metabolism of cluster square positions for recognition in proteins (in comparison to point 2.8)
\n
1. 2. 4. 3.
\n
\n
\n
2.10
\n
Lys (from cationic poly/oligopeptides, site for serine proteinases, participation in Maillard reaction) MP > 100 ash > K3III24 > NK1 P: Support of point 1.4
\n
4. 2. 3. 1.
\n
\n
\n
2.11
\n
Val (hydrophobic, participation in synthesis of biologically active volatile fatty acids) K3III24 > 100 ash > NK1 > MP P: Mostly important criterion concerning volatile fatty acids producing
\n
3. 2. 1. 4.
\n
\n
\n
2.12
\n
Glu/Gln (also as sites for amidases) NK1 > MP, K3III24 > 100 ash
\n
1. 4. 3. 2.
\n
\n
\n
2.13
\n
Asp/Asn (sites for amidases and N-glycosylation) MP, 100 ash > NK1 > K3III24 P: Partial support of point 1.4
\n
4. 2. 1. 3.
\n
\n
\n
2.14
\n
His (participation in auto-oxidation of protein, high affinity to metal cations, activation of oxidases and heme) MP > NK1 > 100 ash > K3III24 P: Potential for metal chelate affinity chromatography and immobilization (for microassays)
\n
4. 1. 2. 3.
\n
\n
\n
2.15
\n
Arg (from cationic poly[oligo]peptides, destruction during pigments forming in Maillard reaction) MP > NK1 > K3III24 > 100 ash P: One of the way of decolorization of MP
\n
4. 1. 3. 2.
\n
\n
\n
2.16
\n
Met (antioxidant) NK1 > MP > K3III24 > 100 ash
\n
1. 4. 3. 2.
\n
\n
\n
2.17
\n
Cys2 disulfide bonds (oxidation of SH-groups into Cys2) K3III24 > NK1 > MP > 100 ash[not observed]
\n
3. 1. 4. 2.
\n
\n
\n
2.18
\n
Pro (Pro-bends in regular structures of proteins) 100 ash > MP > K3III24 > NK1[traces]
\n
2. 4. 3. 1.
\n
\n
\n
3
\n
Status of biosurfactants
\n
\n
\n
3.0
\n
Associated biosurfactants in complexes >27 kD NK1 > MP > > 100 ash > K3III24 P: NK1 as the main source of movable permeable (detergent like) complex effectors; support point 4.3
\n
1. 4. 2. 3.
\n
\n
\n
3.1
\n
Biosurfactants active against mineral oil K3III24 > MP > 100 ash > NK1
\n
3. 4. 2. 1.
\n
\n
\n
4
\n
Other parameters
\n
\n
\n
\n
4.1
\n
Emulsifiers 100 ash > NK1 > MP > > K3III24 [absence] P: K3III24 needs combination to any other strain to increase cultural components (>27 kD) to be emulsified
\n
2. 1. 4. 3.
\n
\n
\n
4.2
\n
Pigment products [optical density at 420 nm] K3III24 > NK1 > 100 ash > MP P: K3III24 as the main potential source of neoglycoconjugates of nonenzymatical origin; MP as maximally decolorized product needed cofunctioning strain mixture; partial inverse correlation to point 1.3
\n
3. 1. 2. 4.
\n
\n
\n
4.3
\n
Antimicrobial activity (toward a panel of diagnostic mainly Gram-negative bacteria) MP > NK1 > 100 ash > K3III24 P: Support point 3; potential of K3III24 to other targets (against Gram-positive bacteria and fungi)
\n
4. 1. 2. 3.
\n
\n\n
Table 3.
Strain code ranging for multiprobiotic construction on example of Acilact (the Lactobacillus multistrain probiotic).
1, NK1 (Lactobacillus helveticus NK1); 2, 100 ash (L. helveticus 100 ash); 3, K3III24 (L. casei K3III24); 4, multiprobiotic (MP) on example of variants of Acilact.
Alternative positions.
\n
In Table 3 the data needed for constructing formulas of any MP are presented on example of strain component compositions of Acilact (the well-known MP which served as a model). Algorithm for constructing formulas includes a few steps:
\n
The first step: For formulas of any MP of category A (formulas as sum of wishful selected superiorities): the choice of all parameters of superiorities of MP (No. 4 as MP in code notes: positions 1.3, 1.4, 1.6, 2.7, 2.8, 2.13, 2.14, 2.15, and 4.3; major ingredient strain contributors are at the second position in the code sequences [from left to right] position in code).
\n
The second step: For formulas of any MP of category B: accounting additional superiorities of MP [No. 4 as MP in code notes; selected minimal positions of parameters for No. 4 in sequence indicate maximal expression of the contrary (by implicity) parameters]. For example, in the case of No. 4 in codes 1.1 (maximal resulting hydrolytic activities in respect to acidic proteins; increased level of antimicrobial peptides), 1.2 (maximal resulting hydrolytic activities in respect to cationic proteins; increased level of antimicrobial peptides including bacteriocin-like), 1.5 (the minimal level of aggregation upon storing concentrates), 2.3 (the minimal level of fluorophores exciting at 254 nm; contribution of Tyr and Trp or their derivatives), 2.3.1 (the minimal level of fluorophores exciting at 365 nm; contribution of Trp); and 4.2 (the minimal level of colored products); the major ingredient strain contributors are accounted as the third position in code.
\n
The third step: The final formulas (formulas of category C) include combinations of formulas A and B. Multifunctionality of parameters analyzed can be extended (as in cases of amino acids [25]).
\n
Extended approach for constructing more adaptive mixtures of lactobacillar and bifidobacterial MP (on the basis of Acilact extended by accounting industrial bifidobacterial strains) is presented in Table 4.
\n
\n
\n
\n
\n\n
\n
No.
\n
Parameters of concentrate (C), their ranging, proposals (P)
\n
Code ranging strains and MP
\n
\n\n\n
\n
1
\n
Antifreeze components >27 kD, pI 4–8 (against any type of crystal forming during IEF-PAG): gall > bif1 > MS42 > NK1 > MP > K3III24, 100 аsh P: bifidobacterial C for stabilization of K3III24 and 100 аsh
Formation of organic crystals in the presence of components >27 kD (in conditions of 7М urea, 5% saccharose, 8°С, night, IEF in slab of PAG): рI 4–6: 3III24, 100 аsh > MP > NK1 > MS > bif1 > gall (not) pI 6–8: K3III24, 100 аsh > MP > NK1 > gall>bif1 > MS42 P: Potential approach to micro- and nanoassembling effectors
\n
2/3. 3/2. 4. 1.5. 6. 7. 2/3. 3/2. 4. 1.7. 6. 5.
\n
\n
\n
3
\n
Complex protein C > 27 kD: pI 4–6: NK1 > MS42 > K3III24 > gall> 100 аsh > bif1 > MP pI 6–8: NK1 > gall > K3III24 > MS42 > 100 аsh > MP > bif1 P: Donors of cationic bacteriocin-like associates with exopolymeric compounds
\n
1. 5. 3. 7. 2. 6. 4. 1. 7. 3. 5. 2. 4. 6.
\n
\n
\n
4
\n
Adhesins as colorless transparent not water-soluble drops on polystyrene (number of drops): gall > MS42 > NK1 > bif1 > MP > K3III24 = 100 аsh(not) P: The size and numbers of drops indicate level of emulsification of C compared to original supernatant
\n
7. 5. 1. 6. 4. 2/3. 3/2.
\n
\n
\n
5
\n
Associated biosurfactants: bif1 > gall > K3III24 > MP > 100аsh > MS42 > NK1 P: C “NK1 + gall” and “NK1 + bif1” as synergistic antimicrobials
\n
6. 7. 3. 4. 2. 5. 1.
\n
\n
\n
6
\n
LSSM as mucin-binding: pI 4–5.5: gall > MP > NK1 > MS42 > bif1 > K3III24, 100 аsh pI 5.5–8: MS42 > bif1 > gall > NK1 > MP > 100 аsh, K3III24 P: C for delivery into intestinal and urogenital mucosal cavities
\n
7. 4. 1. 5. 6. 2/3. 3/2. 5. 6. 7.1. 4. 2/3. 3/2.
\n
\n
\n
7
\n
LSSM as mannan-binding: pI 4–5.5: 100 аsh, K3III24 > NK1 > MS42 > gall > MP > bif1 pI 5.5–8: gall > bif1 > MS42 > NK1 > MP > 100 аsh, K3III24 P: Potential against eukaryotic (yeast and yeast-like), prokaryotic (staphylococci), and HIV/HIV-related infections; delivery into cell and cell organelles
\n
2/3. 3/2. 1. 5. 7. 4. 6. 7. 6. 5.1. 4. 2/3. 3/2.
\n
\n\n
Table 4.
Strain code ranging for multiprobiotic construction on example of new multiprobiotics including bifidobacteria and lactobacilli.
Alternative position. Blocks of lactobacillar (boldface) and bifidobacterial (italic font) strains are shown.
1, NK1 (L. helveticus NK1); 2, 100 ash (L. helveticus 100 ash); 3, K3III24 (L. casei K3III24); 4, MP (Acilact); 5, MS42 (B. adolescentis МS42); 6, bif1 (B. bifidum No. 1); 7, gall (B. gallinarum GB); C, concentrate (>27 kD) of cultural fluid supernatant; IEF, isoelectrofocusing; PAG, polyacrylamide gel; P, prognostic proposals;
\n
As expected, taxonomically mixed probiotics (symbiotics) will possess increased survival in biotopes of human organism. The same principles and algorithm (as for formulas of Acilact variants described above) can be applied. Combinations of Acilact ingredient strains and ingredients of Bifidin (B. longum spp. adolescentis MS-42), Bioprotectin (B. bifidum No. 1), and other bifidobacterial probiotics produced in Russia are of priority interest (also due to the possibility of their usage as standard models).
\n
Table 4 demonstrates algorithm of further passage from intra-genus cases (Lactobacillus) of Gram-positive MP to inter-genus cases of MP as combinations of probiotic lactobacilli and bifidobacteria of the human gut origin.
\n
Selective sets of parameters (points in Table 4) indicate principle differences between lactobacilli and bifidobacteria (as blocks of lactobacillar and bifidobacterial strains in 7-mark code). Completing lactobacillar/bifidobacterial synergism is expected and predicted. Selected combinations of strains from both blocks can be used for creation of directed MP. Other more complex cases include unblocked lactobacillar and bifidobacterial sequences within the code (additional prognostic conclusions are possible). Code positions “1” and “5” (both strains produce high levels of cytoagglutinating LS) reveal adjacent/similar behavior that indicates high level of compatibility of the strains NK1 and MS42.
\n
Further constructing other or extended multistrain symbiotics is depended on choice of important parameters of interest (to increase the number of comparable codes used in Tables 3 and 4). Important prospects in constructing taxonomically mixed symbiotic formulas are expected on the basis of identified LSSM sets of the strains as counted ingredients of multisymbiotic as well as evaluation of the relative contribution of LSSM types in resulting multifunctional activities of mixed product. For example, the general properties of LS of lactobacilli and bifidobacteria investigated by us are “recognition of mucin-type targets” more or less than “recognition of mannan-type targets” for LL or BL, respectively [8]. As a result, LSSM-dependent synergism (which can be directed and predicted using extended panel of GC for LSSM selection and choice) of new taxonomically mixed symbiotics can be achieved.
\n
Universality of approach proposed in Table 4 means that the panel of comparative parameters of investigation is unlimited for selection. As advantages of this approach for creation of perspective formulas of multipro-/symbiotics, some properties of future combinative products can be predicted and verified.
\n
Aforementioned codes (Tables 3 and 4) extend the potential of using traditional MP. Results open new possibilities for investigation of LSSM types among strains and constructed consortia to develop perspective GC-type-dependent LSSM combinations possessing needed actions toward human interactome. In terms of personalized medicine, individual LSSM applications are of reality. For example, LSSM could be applied as “a functional tissue biotope” or mucosal organ-specific agents and organizers of lectin-coupled reactions and activities [26, 27].
\n
\n
\n
3.3 Anaerobic synergistic preparations containing LSSM for support of human protective systems
\n
Due to high distribution in organism, oxidative stress (as the power destructive factor initiating diseases) needs the constant presence of the power protective antioxidant systems [28, 29]. Some therapeutic proteins regulating cellular consumption of oxygen can be involved into development of tumor and other side pathologies in organism. We isolated system anaerobic (without oxidases initiating of oxygen and peroxide radicals) preparations of acidic/anionic and alkaline/cationic LSSM from cultures of symbiotic (probiotic) industrial strains of human bifidobacteria and lactobacilli as consortia that were successfully applied. Such preparations devoid the ability to induce destructive oxidative stress (cross-linking and inactivation of therapeutic proteins, etc.) in respect to surrounding infrastructures.
\n
The used synthetic GC in our work were characterized with antioxidant properties in respect to LS as carriers of GC (prolongation of chemiluminescence of protective complexes was observed). Similar resulting protection of LSSM was also registered in the presence of neutral and cationic bifidobacterial and lactobacillar cultural exopolymeric compounds (EPC) of nonprotein origin (as observed on the blot after IEF-PAG). Acidic and alkaline anaerobic LS of bifidobacteria and lactobacilli revealed the following general antipathogenic actions: (a) own and overlapped/synergistic; (b) toward communicative bodies of microbial massifs and biofilms of the potentially pathogenic yeast-like fungi and Gram-positive bacteria. All four types of preparations of LSSM used were characterized by own mechanisms of antimicrobial actions in comparison to action of other antimicrobial systems (antibiotics, bacteriocins, phytolectins, subisotype products of isotypes С4В and С4А of the human complement component C4) [30, 31]. LS from human probiotic bacterial cultures revealed the ability to act as cascades in such reactions as initiation/changing or switching recognition of GC of different types (imitators of mannans, mucins, components of bacterial walls, Forssman antigens, Tn, blood group substance A) using the same original pool of lectin forms of taken multistrain probiotic. The presence of cations Ru2+ (ingredient of SYPRO involved in photosensibilization) strongly increased discreteness and number of forms of acidic lectins—potential carriers and deliveries of GC. Stability of obtained mosaic asymmetric landscape pictures of the systems LSSM-GC as multistrain probiotic-depending and multistrain probiotic-supporting biotope balance of recognition and reversible retaining/depositing of GC (therapeutics, biomarkers, others) was observed. Combinations of anaerobic LS-containing proteins revealed themselves in respect to yeast-like and Gram-positive pathogenic targets as more selective in the choice of the adequate regional territory of massif of pathogen and limitation of early and late time (depending on localization of targeted region of communicative body of pathogen) for the mostly effective visible actions of LS, obtaining uniform pure landscapes of LSSM action on massif of Candida albicans (the absence or minimization of LSSM-resistant residual fungal colonies in the interacting intestine system “LS of human intestinal bifidobacteria and lactobacilli—human intestinalC. albicans”). Antimicrobial activities of LSSM and phytolectins (phytohemagglutinin from the kidney bean) could be realized not only directly but also through the influence (together with synthetic mannans and mucins) in respect to macrophage migration as well as through inducing production of cytokines by stimulated blood lymphocytes (on the example of tumor necrosis factor-α). Results indicate prospects of anaerobic LSSM as assistant ingredients of the possible drug forms.
\n
\n
\n
3.4 Synbiotic minibioreactor using LSSM for screening GC
\n
During the last time, synbiotics and symbiotics (as synergistic sum of probiotics and prebiotics) are of increased investigator interest due to their antimicrobial and other useful reactions [1, 2]. In this respect LSSM represent new class of antipathogenic proteins (possessing extended potential of application) which recognize different GC. LSSM represent multifunctional potential of relatively highly molecular mass polymeric metabolites of cultures of the human microbiota (microbiocenoses) and consortia (also multistrain probiotics) of human indigenous microorganisms. LSSM cofunction together with artificial and biologically active natural GC [32].
\n
According to own results, we proposed suitable laboratory minisystem for screening prebiotic and therapeutical GP using LSSM and sterile heparinized insulin syringes of 1 ml volume. The following results were obtained: (1) LSSM-containing fraction stimulated production of both the whole and adhesive mass of bifidobacteria, (2) LiCl (15 mM and higher) increased dose depending on the number of adhesive colonies, (3) bifidobacterial LSSM (within pI 4–4.5) were characterized with strong affinity to anionic synthetic GC (possessing exposed residues of sulfated galactosides or, in a less extent of affinity, exposed residues of mannose-6-phosphates), and (4) sulfated glycosaminoglycans together with cations Li+ and LSSM as potential carriers of Li+ participated in functioning bioreactor imitating synbiotope (multiplication of bifidobacterial colonies and their survival were observed).
\n
Proposed synbiotic system is perspective for screening prebiotic GC (as it is known for prebiotic derivatives of chitin, chitosan, fucoidan, and glycopeptides [33, 34]). Table 1 includes potential prebiotic sources such as chitin and α-L-fucan which react to LSSM (LSSM may serve carriers of metabiotic GC; the list of GC can be unlimitedly extended).
\n
\n
\n
3.5 Membrane technological prospects of LSSM
\n
Progress in membrane and solid-phased technologies using LS-GC interactions includes the potential of their application in microassays, biochips (membrane bound glycoarrays or lectin arrays), and biosensors [35, 36].
\n
The use of affine pore hydrophobic (uncharged) membranes predictably covered with mosaics of multifunctional sets of LSSM (additional significant purification of LSSM on membranes is reached) allows prolonged storing LSSM without decreasing samples in activities. The following prospects of LSSM-GC combinations may be of practical interest: (a) antifungal covers of prolonged action in combination with antibiotics and physical factors of stress [radiation (ultraviolet and ultrasonic), light (biorhythm “day-night”), temperature, pH, oxygen, season changes (also biorhythmic), others] and (b) chemiluminescent systems cofunctioning in regime of real time for medical and industrial biotechnology and bionanotechnologies [our results include the following coupled systems: “low acidic LSSM, low acidic oxidoreductases of lactobacilli”; “alkaline bifidobacterial LS, alkaline bifidobacterial exopolymeric compounds”; “neutral lactobacillar/bifidobacterial LS, neutral lactobacillar/bifidobacterial biosurfactants”; “LS, strongly acidic (pI 3–4) serial phyto-oxidoreductases/phyto[glycosyl]oxidases”].
\n
Membrane technologies using separated proteins, oligopeptides, and their complexes (especially) together with intrinsic or exogenic (SYPRO dye) fluorescence registered in live bioimagination are especially sensitive and perspective (protein band discreteness using fluorescence technique was better compared to the chemiluminescence technique). The latter allows identification stabile boundaries of the whole protein massifs for further establishment of LSSM and other biologically and physiologically active components among protein mosaics. Bioluminescence (fluorescent technique in combination with chemiluminescence technique) in optimal (depending on the object and the goal of study) conditions allows express-ranging cultural fluid groups of proteins and LS according to molecular mass (for additional standardization and typing of strains), evaluation of interstrain synergism and contribution of protease and oxidoreductase systems of mono- and multistrain probiotics (symbiotics) and other type consortia, and identification of mosaics of complexes containing fluorochromes in extended interval of pI/pH (complexes and cell wall fragments as carriers of visible energy which is ready for energetic exchange with surrounding infrastructures as well as for monitoring directed supramolecular assembling and their reorganization).
\n
Aforementioned data presented develop other possible important prognostic approaches and proposals. The choice of wished prognostic (LSSM-selected-type and GC-type interactions)-directed events in biotope can be determined and regulated by involving GC types needed (panels of natural and artificial GC used in biotope; extending the list of GC indicated in Table 1 is possible). The use of artificial polymeric GC with established chemical structures allows receiving adequate, understandable, and reliable results.
\n
According to the multifunctional potential of artificial GC used, resulting events in biotope can be the following ones: antipathogenic actions (the use of GC-imitating pathogenic cell surface structures), prebiotic and symbiotic (synbiotic) actions (the use of GC-imitating prebiotic structures), increasing own human organism protective systems (the use of GC-interacting and GC-regulating macrophages and macrophage-like lymphocytes through their systemic receptor lectins), antitumor actions (potential using antigenic GC together with LSSM as antagonists and synergists in intercellular antitumor and anti-infectious communications [37]), and cytokine lectin/lectin-like cascades initiated/regulated with LSSM potentially influencing redistribution of cytokine network in organism.
\n
\n
\n
3.6 Prospects of LSSM for prophylaxis and therapy of infectious diseases
\n
Innate immunity plays an important role especially when antibody immunity is under development, suppression, or alteration. So the search of new natural anti-infectious agents is of actuality. In contrast to probiotic cells, LSSM (as systems of LL or LB) are not sensitive to the presence of antibiotics and chemotherapeutics as well as do not need special conditions for survival. LSSM function as metabolomebiotics according to the principle “the network in the network”; participation of major lectins in supporting physiologically significant glycodecor of biotope mucosal probiotic compartments, and minor lectins—in signal communications; support of such compartments (compensation of the absence of probiotic cells in MB upon therapy with antibiotics, delivery of fucosylated and galactosylated prebiotics of mutual supporting influence between populations of bifidobacteria and lactobacilli, cofunctioning to anti-infectious agents (antibiotics, metabiotics, GC) and cells of organism protective systems (macrophages and leukocytes).
\n
We characterize LSSM (acidic, low acidic, cationic: aLL, laLL, cLL, aLB, and cLB) of domestic probiotics which recognize polymeric artificial GC mucin-like analogs of antigens and EPC (fungal and bacterial mannans, bifidobacterial α-L-Fuc-containing, sulfated and phosphorylated).
\n
Antimicrobial directions of LSSM action were established [26, 31, 38].
\n
\n
3.6.1 Anticandidosis activities
\n
\n
Against intestinal and urogenital Candida of epidemiologically significant species of group I (C. albicans and C. tropicalis: early action of aLB within the first 2 days; delayed action of cLL and LB within 1–2 months; synergism between acidic and cationic LSSM, cLB, and grass lectins, aLSSM/cLSSM, and some antimycotics)
Against Candida of epidemiologically significant species of group II (C. glabrata: inhibition of virulent factors such as fungal IgA1 and IgG proteinases, EC 3.4.21.72 and EC 3.4.21., respectively [9])
Against Candida of epidemiologically significant species of group III (C. krusei: delivery of potential effector GC on cell surface)
Interruption of mycosymbiosis parasitism of Candida—Aspergillus: the drugs against candidosis as predictably affective against aspergillosis)
\n
Activities of LSSM against staphylococci (on example of patients S. aureus isolates): aLL > aLB; aLL and aLB; LSSM activities accompanied with:
Delayed degradation of microbial massifs
Partial directed lysis of microbial massif
Tearing away fragments of massif (by two mechanisms depending on lectin type)
Synergism between aLL and LB in antistaphylococcal actions
\n
LSSM possess potential of diagnostics and prognostics of biotope diseases [37]. Results support important principle approach that diseases of MB (as in the case of CBF according to the principle “there is the body—there are diseases”) reflect own “biotope diseases” in organism [39]. LSSM can be used in phenotyping prognostics and diagnostics of infectious processes in organism; for prophylaxis and therapy of candidoses, staphylococcoses, mixed fungal-bacterial infections, mixed symbiotic mycoses; innate infections; immunodeficiency and infections against the background of immunodeficiency, upon antibiotics-/chemo-/radiotherapy. Such GC effectors as metabiotics, prebiotics, glycoantigens, and drugs of selective directed action are of availability.
\n
It is of importance to consider the participation of LSSM in supporting biotope mucosal MB in conditions of oxidative stress (cofunctioning of laLL and probiotic oxidoreductase systems) [26]. Panel combinations of LB and LL are perspective in early evaluation (before the inflammation) of status of MB of functionally different biotopes of the vaginal tract.
\n
LSSM are similar (in specificities, systemic action) to communicative lectins of intercellular reception in innate immunity.
\n
LSSM act as essential part of human protective supersystem (the supersystem with probiotic type action) [31]. Such supersystems contract disturbing the balance of the body’s health processes; keep and maintain the integrity of biotope microbiocenoses like healthy consortia. There are supersystems with antimicrobial or antifungal action in organism.
\n
\n
\n
\n
3.7 Potential of results for innovations
\n
Results obtained by us in a study of probiotics can be useful as a set of approaches in study of the following aspects of clinical microbiology and medical biotechnology (in brackets—significance and prospects of results for infectology) [40, 41].
\n
\n
3.7.1 Metabolite technologies
\n
\n
Cultural metabolites 27–200 kD within pI 4–8 (separation of acidic and alkaline protein and nonprotein of taxonomically significant systems); phenotyping of strains in cationic region containing protected sets of proteins Subcytoagglutinating activities: initiatively coupled or non-coupled to lectin and cytoagglutinating activities (cytokine activities; synchronization of cultures for increasing vulnerability of pathogens; typing).
Functional blotting analysis of cascade cultures in combinative nutrient media (NM) (as in the case of milk followed by transfer into “casein hydrolysate-yeast autolysate” media; monitoring lectins, enzymes, and exopolymeric compounds [EPC])
Development of strain-supporting NM (comparison of blotted maps of components of cultures in identical conditions)
The use of α-S-, β/γ-, and kappa-caseinases (increase of effectiveness of NM, accumulation of physiologically active protein and nonprotein metabolites and their complexes)
Systems of proteinases, EPC depolymerases, and/or peroxidase-like catalases in cultures (revealing strain-dependent producers of enzymes, proteins, and EPC; evaluation of cytolysis populations, oxidative stress, virulent factors, changes, and aging of cultures upon passages and storage)
Lectin systems: major and minor, building and signal, cross talk and quorum sensing (standardization of cultures and analysis of communicative networks) *Evaluation of early and prolonged landscape synergism of recognizing components of cultures and antibiotics (individual choice and replacement of combinations of probiotics and antibiotics upon therapy of patient)
Natural and recombinant systems oriented to recognition of polyvalent glycoconjugate targets of known structure (standardization of strains; monitoring and revealing signals of carbohydrate metabolism)
Imitation by cultural metabolites in respect to strain or consortium effectiveness (standardization of strain multifunctionality)
The use of recognizing metabolites instead of cells or in combinations with cells for support of feeble living and antibiotic-sensitive cultures (also in cases of non-culturable microorganisms).
3.7.2 Intercellular and cell-metabolite technologies
\n
\n
For Gram-positive bacteria (opportunistic and pathogenic)
Sensor microbial systems of MB (revealing and using key antagonistic systems) Directed assembling of cytokine-cell gradients: reversible functional (1–2 days) or late irreversible conserved and partially inactivated (4–6 weeks), as in cases of biofilms containing erythrocytes—in microassay (evaluation of protection and degradation of human cells in the presence of pathogens)
Biofilm forming as ranked quantitative and qualitative, early and delayed—in microassay (reactions of mono- and mixed biofilms)
Species-dependent redistribution of antagonistic MB (prediction of mutual influence between species and strains of probiotics, opportunistic microbes, and antibiotics)
Leader strains and species within MB (evaluation of temporary MB-destabilizing strains in coexistent antagonistic microbial populations)
Destabilization and synchronization of MB by recognizing components of cultures for increasing future selective synergistic action of antimicrobials and stress factors (increase of early and late suppression of pathogens) Microecological interniche early and delayed landscape relationships in cases of solid-phased and suspension microbial massifs, for microanalysis (evaluation of opportunistic microbes and MB as communicative bodies opposed to mosaics of antimicrobials)
Construction of active (involving probiotic leaders) and stabilizing (species-dependent and resistant to antibiotics, probiotic-like supporting MB) consortia (using upon therapy)
Strain-phenotyping dysbiotic MB using lectin systems (revealing early changes in patient MB in the presence of lectins of MB, for development of new strategies of therapy)
LS of probiotic consortia (directions of consortium formula actions can be predicted by constructing) as ingredients of functional food to support resistant functioning mucosal organs
\n
\n
\n
\n
\n
4. Conclusion
\n
The data presented consider aspects of constructing probiotic multistrain intra- and inter-genus Gram-positive bacterial metabolites on examples of bifidobacteria and lactobacilli of the human gut origin. Algorithms of creation of 4- and 7-code MP formulas are presented and argued. It is of importance to consider LSSM and their GC as a new perspective protective basis/scaffold factor influencing and supporting human interactome, involving biotope infrastructures, signaling, and anti-infectious actions as well as cofunctioning together with other protective human systems [17, 42]. Results support the use of pro-/symbiotic LS as assistant-coordinated metabolomic agents; carriers for delivery and releasing GC, metabiotics (including simulators of cell surface patterns of opportunistic microorganisms), prebiotics, therapeutics, and antigens (for cofunctioning to antibodies); and reserves for decoration elements that support stabile functioning landscapes of the human cell surfaces and mucosal tissues. Probiotic lectins (interacting with synthetic GC simulators) are important for screening, typing, and selection of useful strains and their consortia supporting organs. The proposed LSSM-containing preparations promise LSSM using a soft adaptive multidirected network synergistically acting together with other protectors (also in conditions of the absence of oxygen [involving oxidative stress and forming of covalently bound by-products] within biotope). Variants of multipro-/sym-/synbiotics constructed can be perspective for prophylaxis for individuals and contingents as well as for supporting treatments of patients (before and postoperative period, during chemotherapy, etc.). Approaches developed are useful in study of interniche relationships of extended set of Gram-positive and fungal microorganisms in mono- and mixed cultures. Procedures can be applied in different fields of clinical microbiology and medical biotechnology.
\n
\n
Conflict of interest
The authors declare the absence of conflict of interest.
\n',keywords:"multistrain probiotics, probiotic lectins, glycoconjugates, microbiocenoses, antimicrobials",chapterPDFUrl:"https://cdn.intechopen.com/pdfs/67420.pdf",chapterXML:"https://mts.intechopen.com/source/xml/67420.xml",downloadPdfUrl:"/chapter/pdf-download/67420",previewPdfUrl:"/chapter/pdf-preview/67420",totalDownloads:825,totalViews:0,totalCrossrefCites:1,totalDimensionsCites:1,totalAltmetricsMentions:0,impactScore:0,impactScorePercentile:33,impactScoreQuartile:2,hasAltmetrics:0,dateSubmitted:"August 9th 2018",dateReviewed:"April 23rd 2019",datePrePublished:"May 30th 2019",datePublished:"December 11th 2019",dateFinished:"May 30th 2019",readingETA:"0",abstract:"On example of Lactobacillus and Bifidobacterium strains, approaches in creation of human multistrain probiotic metabolite mixtures for different goals were proposed. Human probiotic lectin systems (LS) (mucosal, others) reveal functions needed for organism. Advanced features of such systems include capability to recognize synthetic polymeric polyvalent glycoconjugates (GC)—imitators of natural ones (modified polysaccharides, glycoantigens of medical significance). Probiotic lectin systems function as imitators of multipro-/sym-/synbiotics in their resulting actions. They serve as carriers of the biotope glycoconjugate décor including glycoprebiotics, glycometabiotics, glycodrugs, and agents supporting décor organization and resistance. Probiotic lectin systems represent new perspective system agents to improve the health of mucosal microbiocenoses (MB) organized as communicative bodies to be corrected according to the principle “there is body—there are diseases.” They act as metabolomebiotics according to the principle “the network in the network.” They deepen biotope resistance allowing quicker return to balance. They support prophylactic and therapeutic procedures directed to prolong aging and improve quality of life. Multistrain metabolite constructions can predict perspective cellular formulas of multipro-/synbiotics for prophylaxis, supporting and accompanying therapy. Approaches developed are universal. They are useful in the study of any Gram-positive and eukaryotic (yeasts and yeast-like fungi) mono- and mixed cultures. The methodological principles proposed and described are of value for extended fields of clinical microbiology and medical bio-/nanotechnology.",reviewType:"peer-reviewed",bibtexUrl:"/chapter/bibtex/67420",risUrl:"/chapter/ris/67420",book:{id:"8292",slug:"oral-health-by-using-probiotic-products"},signatures:"Mikhail V. Lakhtin, Vladimir M. Lakhtin, Vladimir A. Aleshkin and Stanislav S. Afanasiev",authors:[{id:"150430",title:"Prof.",name:"Vladimir",middleName:"Mikhailovitch",surname:"Lakhtin",fullName:"Vladimir Lakhtin",slug:"vladimir-lakhtin",email:"lakhtinv@yandex.ru",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institution:{name:"Gabrichevsky Institute of Epidemiology and Microbiology",institutionURL:null,country:{name:"Russia"}}},{id:"150462",title:"Prof.",name:"Stanislav",middleName:null,surname:"Afanasiev",fullName:"Stanislav Afanasiev",slug:"stanislav-afanasiev",email:"afanasievss409.4@bk.ru",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institution:null},{id:"150463",title:"Prof.",name:"Vladimir",middleName:null,surname:"Aleshkin",fullName:"Vladimir Aleshkin",slug:"vladimir-aleshkin",email:"info@gabrich.com",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institution:null},{id:"271355",title:"Dr.",name:"Mikhail",middleName:null,surname:"Lakhtin",fullName:"Mikhail Lakhtin",slug:"mikhail-lakhtin",email:"mike_lahtin@mail.ru",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institution:null}],sections:[{id:"sec_1",title:"1. Introduction",level:"1"},{id:"sec_2",title:"2. Methods",level:"1"},{id:"sec_3",title:"3. Results and discussion",level:"1"},{id:"sec_3_2",title:"3.1 Symbiotic lectins as system regulators and delivery agents",level:"2"},{id:"sec_4_2",title:"3.2 The choice of strains and their consortia possessing potential for constructing new multistrain pro- and symbiotics",level:"2"},{id:"sec_5_2",title:"3.3 Anaerobic synergistic preparations containing LSSM for support of human protective systems",level:"2"},{id:"sec_6_2",title:"3.4 Synbiotic minibioreactor using LSSM for screening GC",level:"2"},{id:"sec_7_2",title:"3.5 Membrane technological prospects of LSSM",level:"2"},{id:"sec_8_2",title:"3.6 Prospects of LSSM for prophylaxis and therapy of infectious diseases",level:"2"},{id:"sec_8_3",title:"3.6.1 Anticandidosis activities",level:"3"},{id:"sec_10_2",title:"3.7 Potential of results for innovations",level:"2"},{id:"sec_10_3",title:"3.7.1 Metabolite technologies",level:"3"},{id:"sec_11_3",title:"3.7.2 Intercellular and cell-metabolite technologies",level:"3"},{id:"sec_14",title:"4. Conclusion",level:"1"},{id:"sec_18",title:"Conflict of interest",level:"1"}],chapterReferences:[{id:"B1",body:'Olveira G, Gonzalez-Molero I. An update on probiotics, prebiotics and symbiotics in clinical nutrition. Endocrinología y Nutrición. 2016;63(9):482-494. DOI: 10.1016/j.endonu.2016.07.006\n'},{id:"B2",body:'Floch MH. The role of prebiotics and probiotics in gastrointestinal disease. Gastroenterology Clinics of North America. 2018;47(1):179-191. DOI: 10.1016/j.gtc.2017.09.011\n'},{id:"B3",body:'Pandey KR, Naik SR, Vakil BV. Probiotics, prebiotics and synbiotics—A review. Journal of Food Science and Technology. 2015;52(12):7577-7587. DOI: 10.1007/s13197-015-1921-1\n'},{id:"B4",body:'Pudlo NA, Urs K, Kumar SS, German JB, Mills DA, Martens EC. Symbiotic human gut bacteria with variable metabolic priorities for host mucosal glycans. mBio. 2015;6(6):e01282-e01215. DOI: 10.1128/mBio.01282-15\n'},{id:"B5",body:'Toukach PV, Egorova KS. Carbohydrate structure database merged from bacterial, archaeal, plant and fungal parts. Nucleic Acids Research. 2016;44(Part D1):D1229-D1236. DOI: 10.1093/nar/gkv840\n'},{id:"B6",body:'Mehta AY, Cummings RD. GLAD: GLycan Array Dashboard, a Visual Analytics Tool for Glycan Microarrays. Bioinformatics. 1 Feb 2019. DOI: 10.1093/ bioinformatics/btz075 [Epub ahead of print]\n'},{id:"B7",body:'Marchetti R, Perez S, Arda A, Imberty A, Jimenez-Barbero J, Silipo A, et al. "Rules of engagement" of protein-glycoconjugate interactions: A molecular view achievable by using NMR spectroscopy and molecular modeling. ChemistryOpen. 2016;l5(4):274-296. DOI: 10.1002/open.201600024\n'},{id:"B8",body:'Lakhtin M, Lakhtin V, Aleshkin A, Bajrakova A, Afanasiev S, Aleshkin V. Lectin systems imitating probiotics: Potential for biotechnology and medical microbiology. In: Rigobelo EC, editor. Probiotics 2012. New York: InTech; 2012. pp. 417-432\n'},{id:"B9",body:'Lakhtin MV, Lakhtin VM, Aleshkin VA, Afanasiev SS, Aleshkin AV. Lectins and Enzymes in Biology and Medicine. Moscow: Publishing House “Dynasty”; 2010. 496pp. ISBN: 978-5-98125-076-7. (in Russian)\n'},{id:"B10",body:'Lakhtin VM, Lakhtin MV, Bajrakova AL, Afanasiev SS. Candida albicans: New aspects of pathogenicity, interaction to antifungals, biofilms and preventive anti-Candida strategies—The overview of own works. In: Dietrich LA, Friedmann TS, editors. Candida albicans: Symptoms, Causes and Treatment Options. New York: Nova Science Publishers; 2013. pp. 145-152\n'},{id:"B11",body:'Lakhtin M, Lakhtin V, Afanasiev S, Aleshkin V. Mucosal innate immunity involves system “Lectins of probiotics—Glycopolymers” against pathogens. In: Mendez-Vilas A, editor. Microbiology Book Series #5: “The Battle against Microbial Pathogens: Basic Science, Technological Advances and Educational Programs”. Vol. 2. Spain: Formatex Research Center; 2015. pp. 668-677. ISBN (13): 978-84-942134-7-2\n'},{id:"B12",body:'Lakhtin MV, Lakhtin VM, Afanasiev SS, Aleshkin VA. Mucosal open cavities as the organ of increased resistance and effectiveness. Journal of Advances in Biology and Biotechnology. 2016;10(3):1-10. DOI: 10.9734/jabb\n'},{id:"B13",body:'Lakhtin MV, Lakhtin VM, Afanasiev SS, Bajrakova AL. Lectins of probiotics in regulation of microecological niches of yeast-like fungi of human. Advances in Medical Mycology [Uspehi Meditsinskoy Mikologii]. 2017;17:168-171. DOI: 10.14427/amm.2017.xvii.02. (in Russian)\n'},{id:"B14",body:'Lakhtin MV, Lakhtin VM, Alyoshkin VA. Lectin and enzyme relationships in microbiology. International Journal of Molecular and Clinical Microbiology. 2011;1(1):9-14\n'},{id:"B15",body:'Lakhtin VM, Lakhtin MV, Afanasiev SS, Aleshkin VA. Symbiotic lectins—metabolomebiotics and carriers of metabiotics. Gastroenterology of Saint-Petersburg [Gastroenterologiya Sankt-Peterburga]. 2016. No 3-4: М15. (in Russian)\n'},{id:"B16",body:'Cummings RD, Pierce JM. The challenge and promise of glycomics. Chemistry & Biology. 2014;21(1):1-15. DOI: 10.1016/j.chembiol.2013.12.010\n'},{id:"B17",body:'Lakhtin MV, Lakhtin VM, Afanasiev SS, Aleshkin VA. α-L-Fucan-binding lectin systems of human probiotic bacteria in evaluation of communications of probiotic compartment of human microbiocenoses. Medical Alphabet [Meditsinskiy Alfavit]. 2017;3(26):33-34. ISSN: 2078-5631. (in Russian)\n'},{id:"B18",body:'Lakhtin MV, Lakhtin VM, Afanasiev SS, Bajrakova AL, Aleshkin VA. Biofilm forming in human biotope microbiocenosis: The model for prognostic calculations of intermicrobial relationships. Bulletin of Eastern-Siberian Scientific Center of SB RAMS (Irkutsk, Russia). 2015;3:56-62. (in Russian)\n'},{id:"B19",body:'Sharma M, Shukla G. Metabiotics: One step ahead of probiotics; an insight into mechanisms involved in anticancerous effect in colorectal cancer. Frontiers in Microbiology. 2016;7:1940\n'},{id:"B20",body:'Lakhtin MV, Aleshkin VA, Lakhtin VM, Afanasiev SS, Bajrakova AL. Antipathogenic synergism of lectins possessing probiotic properties: Potential and prospects for medical biotechnology. In: Proceedings of the XII International scientific and practical conference “Cutting-edge science—2016”. Biology. Sheffield: Science and Education Ltd. Volume 16. pp. 30-36. ISBN 978-966-8736-05-6. (in Russian)\n'},{id:"B21",body:'Gracie DJ, Ford AC. Symbiotics in irritable bowel syndrome—Better than probiotics alone? Current Opinion in Clinical Nutrition and Metabolic Care. 2015;18(5):485-489. DOI: 10.1097/MCO.0000000000000199\n'},{id:"B22",body:'Schwartzman JA, Ruby EG. Stress as a normal cue in the symbiotic environment: Specificities. Trends in Microbiology. 2016;24(5):414-424. DOI: 10.1016/j.tim.2016.02.012\n'},{id:"B23",body:'Krumbeck JA, Maldonado-Gomez MX, Martinez I, Frese SA, Burkey TE, Rasineni K, et al. In vivo selection to identify bacterial strains with enhanced ecological performance in synbiotic applications. Applied and Environmental Microbiology. 2015;81(7):2455-2465\n'},{id:"B24",body:'Tailford LE, Crost EH, Kavanaugh D, Juge N. Mucin glycan for aging in the human gut microbiome. Frontiers in Genetics. 2015;6:81. DOI: 10.3389/fgene.2015.00081\n'},{id:"B25",body:'Paβlack N, Doherr MG, Zentek J. Effects of free amino acids on cytokine secretion and proliferative activity of feline T cells in an in vitro study using the cell line MYA-1. Cytotechnology. 2016;68(5):1949-1961. DOI: 10.1007/s10616-016-0008-9\n'},{id:"B26",body:'Lakhtin MV, Lakhtin VM. Probiotic lectin systems – Prospects for biocontrol of mucosal organs. Advances in Medical Mycology: Moscow. All-Russian National Academy of Mycology. 2019;XX:24-29. (in Russian)\n'},{id:"B27",body:'Petrova MI, Lievens E, Verhoeven TL, Macklaim JM, Gloor G, Schols D, et al. The lectin-like protein 1 in Lactobacillus rhamnosus GR-1 mediates tissue-specific adherence to vaginal epithelium and inhibits urogenital pathogens. Scientific Reports. 2016;6:37437. DOI: 10.1038/srep37437\n'},{id:"B28",body:'Manda G, Isvoranu G, Comanescu MV, Manea A, Debelec Butuner B, Korkmaz KS. The redox biology network in cancer pathophysiology and therapeutics. Redox Biology. 2015;5:347-357. DOI: 10.1016/j.redox.2015.06.014\n'},{id:"B29",body:'Cobb CA, Cole MP. Oxidative and nitrative stress in neurodegeneration. Neurobiology of Disease. 2015;84:4-21. DOI: 10.1016/j.nbd.2015.04.020\n'},{id:"B30",body:'Lakhtin MV, Lakhtin VM, Afanasiev SS, Aleshkin VA, Korsun VF, Afanasiev MS. Lectins in solutions and be sorbed, active and latent, system and network, fluorescent and chemiluminescent, in regulation of assembling and degradation, synergistic and symbiotic. The journal of scientific articles “Health and Education Millennium”. 2014;16(3):64-68. ISSN 2226-7425. (in Russian)\n'},{id:"B31",body:'Lakhtin MV, Lakhtin VM. The human antifungal lectin basic supersystem. Advances in Medical Mycology: Moscow. All-Russian National Academy of Mycology. 2019;XX:30-35. (in Russian)\n'},{id:"B32",body:'Lakhtin MV, Lakhtin VM, Afanasiev SS, Bajrakova AL, Karaulov AV, Afanasiev MS, et al. Mobile synbiotope microbiocenosis against pathogens. Bulletin of Eastern-Siberian Scientific Center of SB RAMS (Irkutsk, Russia). 2016;3(Part2):168-173. (in Russian)\n'},{id:"B33",body:'Hayes M, Tiwari BK. Bioactive carbohydrates and peptides in foods: An overview of sources, downstream processing steps and associated bioactivities. International Journal of Molecular Sciences. 2015;16(9):22485-22508. DOI: 10.3390/ijms160922485\n'},{id:"B34",body:'Corzo-Martinez M, Avila M, Moreno FJ, Requena T, Villamiel M. Effect of milk protein glycation and gastrointestinal digestion on the growth of bifidobacteria and lactic acid bacteria. International Journal of Food Microbiology. 2012;153(3):420-427. DOI: 10.1016/j.ijfoodmicro.2011.12.006\n'},{id:"B35",body:'Puvirajesinghe TM, Turnbull JE. Glycoarray technologies: Deciphering interactions from proteins to live cell responses. Microarrays (Basel). 2016;5(1):3. DOI: 10.3390/microarrays5010003\n'},{id:"B36",body:'Belicky S, Katrlik J, Tkac J. Glycan and lectin biosensors. Essays in Biochemistry. 2016;60(1):37-47. DOI: 10.1042/EBC20150005\n'},{id:"B37",body:'Lakhtin MV, Lakhtin VM, Afanasiev SS, Bajrakova AL, Aleshkin VA, Afanasiev MS. Candida markers of diseases of urogenital biotopes: Reactivity to lectins of probiotics. Acta Biomedica Scientifica. 2018;3(1):49-53. DOI: 10.29413/ABS.2018-3.1.7. (in Russian)\n'},{id:"B38",body:'Lakhtin MV, Lakhtin VM, Afanasiev SS, Bajrakova AL, Afanasiev MS, Aleshkin VA. Mucosal Candida species microecology, sensitivity to antifungals, antifungal strategies considering probiotic pressure. News of Science and Education. 2019;5(3):3-21. ISSN: 2312-2773. (in Russian)\n'},{id:"B39",body:'Lakhtin MV, Lakhtin VM, Afanasiev SS, Aleshkin VA. Lectins of probiotics against diseases of microbiocenoses in human organism. Ural Scientific Vestnik [Uralskiy Nauchniy Vestnik]. 2017;2(9):35-45. ISSN: 1561-6908. (in Russian)\n'},{id:"B40",body:'Lakhtin MV, Lakhtin VM, Aleshkin VA, Afanasiev SS. System probiotic lectins for innovations. News of Science and Education. 2018;3(10):117-129. ISSN: 2312-2773. (in Russian)\n'},{id:"B41",body:'Lakhtin MV, Lakhtin VM, Afanasiev SS, Aleshkin VA. Microbiocenosis and strain probiotic lectin systems against infectious diseases and tumors: Potential of influence microbiocenoses through pro/synbiotics. The Problems of Scientific Idea (Dnepr, Ukraine) [Problemi Nauchnoy Misli (Dnepr, Ukraina)]. 2018;7(12):25-44. ISSN: 1561-6916. (in Russian)\n'},{id:"B42",body:'Chairatana P, Nolan EM. Defensins, lectins, mucins, and secretory immunoglobulin A: Microbe-binding biomolecules that contribute to mucosal immunity in the human gut. Critical Reviews in Biochemistry and Molecular Biology. 2017;52(1):45-56. DOI: 10.1080/10409238.2016.1243654\n'}],footnotes:[],contributors:[{corresp:null,contributorFullName:"Mikhail V. Lakhtin",address:null,affiliation:'
G.N. Gabrichevsky Institute for Epidemiology and Microbiology, Moscow, Russia
'},{corresp:"yes",contributorFullName:"Vladimir M. Lakhtin",address:"lakhtinv@yandex.ru",affiliation:'
G.N. Gabrichevsky Institute for Epidemiology and Microbiology, Moscow, Russia
'},{corresp:null,contributorFullName:"Vladimir A. Aleshkin",address:null,affiliation:'
G.N. Gabrichevsky Institute for Epidemiology and Microbiology, Moscow, Russia
'},{corresp:null,contributorFullName:"Stanislav S. Afanasiev",address:null,affiliation:'
G.N. Gabrichevsky Institute for Epidemiology and Microbiology, Moscow, Russia
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1. Introduction
A new intellectual movement in the field of cognitive science1 has been developed, above all, in the last two decades of the current century, starting from debates that took place, mainly, in the philosophy of science at the end of the twentieth century. This movement has been described more broadly by many authors as a “new mechanistic philosophy” [4, 5, 6, 7]. Strongly influenced by recent advances in computer science, neuroscience, and artificial intelligence, the theoretical framework developed by some of the movement’s most prominent authors offers a new physicalist (or materialist) and mechanistic view of human cognition2 [9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21].
The theory formulated from the application of the neo-mechanistic philosophy to cognitive science and, specifically, to human cognition, can be called the Mechanistic Theory of Human Cognition (MTHC) [22]. This proposal is currently one of the most accepted major theories in fields, such as cognitive science and cognitive neuroscience, and it has been considered by its influential proponents as revolutionary and capable of integrating research concerning human cognition with new evidence provided by fields of biology and neuroscience.
One of the most central elements present in the framework of MTHC is a “model of human cognitive computation” [9, 10, 11, 13, 15], which is also part of the attempt made by several influential authors to provide some type of unification or integration for the field of cognitive science [9, 10, 23, 24, 25]. However, some complex cognitive capacities and some particular aspects of human cognition still present a challenge for explanations constructed by using this theoretical structure [22].
My central goal in this chapter, therefore, is to present an argument to show that human cognition cannot yet be completely understood and explained in terms of mechanistic computation and that this view indeed presents many substantial limitations.
To develop my argument, I present, firstly, some of the central elements of this neo-mechanistic framework and its application to cognitive science. Secondly, I present the mechanistic model of human cognitive computation, as it is currently framed, and, based on the specialized literature, I show in what dimensions it helps our understanding of some aspects of human cognitive capacities, such as visual perception and memory consolidation. Thirdly, I show that to understand and explain some human cognitive capacities, such as self-consciousness and conscious informal reasoning and decision making, the neo-mechanistic framework shows substantial limitations. I conclude the chapter by suggesting that the notion of human artificial cognitive computation can be useful for several projects, but to fully understand natural human cognition we will most certainly have to consider theories that go beyond the current neo-mechanistic model of human cognitive computation.
2. Mechanistic theory of human cognition
The contemporary movement of neo-mechanistic philosophy has been historically associated with ideas already present in the period of Ancient Philosophy. Philosophers, such as Democritus, Leucippus, Aristotle, Epicurus, and Lucretius [9, 14, 26], for example, have been mentioned in the specialized literature as precursors. Although there is no unity of thought regarding this philosophical tradition, these thinkers would arguably have launched, in Western philosophical thought, the first notions linked to mechanistic reflections. In other words, these philosophers would have proposed the general idea that many phenomena in nature must be explained through their basic components, their forms of movement, their properties, and their interactions since these phenomena are also composed of these basic elements.
In Modern Philosophy, the history of what might be called “mechanistic philosophy” is quite complex, given the many debates over definitions of the term and the variety of positions that can be considered within a more general view of what the term means in this period. In any case, many authors consider that the movement of mechanistic philosophy in the seventeenth century is a reaction to Aristotelian natural philosophy and various natural philosophies of the Renaissance period [27]. The French philosopher René Descartes (1596–1650), for example, is considered one of the main figures who laid the foundations of modern mechanistic philosophy, especially with regard to explanations of biological natural phenomena [9, 27, 28, 29, 30, 31]. Des Chene [30] argues that Descartes united a mechanistic ontology, on the one hand, with a method of mechanistic explanation, on the other, applying these ideas to numerous biological phenomena, including the behavior of non-human animals and the human body.
Shortly thereafter, this reasoning would also be applied quite influentially to human beings and their mental capacities. One of the most prominent advocates of this view was the French philosopher and physician Julien Offray de La Mettrie (1709–1751), who published Histoire Naturelle de L’âme (Natural History of the Soul), in 1745, and L’ Homme Machine (Man a Machine), in 1747, expanding Descartes’ philosophy of biology to human beings [21]. It can be said, therefore, that modern mechanistic philosophy is fundamentally committed to the “machine analogy,” that is, just as it occurs in a machine, all-natural processes can be explained in terms of their constituent components and the interaction between the activities they perform to produce their result [32]. This mechanistic framework was quite influential in many dimensions of many central issues and debates during the eighteenth and nineteenth centuries.
At the beginning of the twentieth century, the debate about the best explanation for the complex phenomenon of “life” was still quite strong [32]. The controversy was over whether or not this phenomenon could be explained in mechanistic terms. In this context, a very influential work was that of the German-born American physiologist and biologist Jacques Loeb (1859–1924), published in 1912, The Mechanistic Conception of Life. In this work, Loeb [33] indicates his interest in discussing the question of whether “life” (or all vital phenomena) could be explained in physicochemical terms. He sought to reduce “higher-level” biological phenomena to their more basic “low-level” components and thus ultimately place biology on the same level of scientific prestige and legitimacy as physics and chemistry [28].
In the second half of the twentieth century, philosophers of science sought to analyze, in a more precise way, this mechanistic explanatory strategy. One of the most influential analyzes is present in the work of the American philosopher Ernest Nagel (1901–1985), The Structure of Science, published in 1961. Chapter 12 of this work is entitled Mechanistic explanation and organismic biology. In it, Nagel [34] discusses the problem of explaining “life” and says that a mechanist is one who believes, as Jacques Loeb believed, that all vital processes can be explained in physicochemical terms. This work profoundly influenced the understanding of what a mechanistic scientific explanation was in the philosophy of science of the period.
It was also during this period that some philosophers of science working in the field of biology began the task of elaborating, in an even more robust and systematic way, notions related to mechanistic explanations in science – mainly in biology. Along these lines, some pioneering works were the following: Herbert Simon, The Architecture of Complexity, published in 1962; Stuart Kauffman, Articulation of parts explanations in biology and the rational search for them, published in 1970; and William Wimsatt, Reductive explanation: a functional account, published in 1976.
Within this line of philosophical thinking, the work of William Bechtel and Robert Richardson, Discovering Complexity, published in 1993, is normally considered in the specialized literature as being the first to elaborate mechanistic explanations of a more solid, detailed, and mature form. Moreover, in 1996, Stuart Glennan published the article Mechanisms and the nature of causation; in 1998, Paul Thagard published the article Explaining disease: correlations, causes, and mechanisms; in 2000, Peter Machamer, Lindley Darden, and Carl Craver published the article Thinking about mechanisms; and in 2002, Jim Woodward, published the article What is a mechanism? A counterfactual account. All these works were extremely important for the development of the new mechanistic movement in the philosophy of science, especially related to biology.
It is also important to point out that in the development of the neo-mechanist movement, at the end of the twentieth century, we can distinguish, more generally, two main trends [5]. One of them focuses more on metaphysical and ontological directions. Authors who work in this line seek, above all, to answer what mechanisms are as real things in the world. The other strand followed in the direction of a greater elaboration of the philosophy of science with epistemological and methodological discussions about scientific explanations, mainly in the area of biology. They seek to explain how something works and not make claims about the ultimate reality of things. These two strands of the new mechanism have been elaborated in an enormous specialized literature that covers several scientific and philosophical areas, dominating a great part of the central debates. Despite being two dimensions that can be separated in the debate, ontological and epistemological discussions are deeply related in many works, both directly and indirectly.
The neo-mechanistic philosophy began to be applied with greater emphasis to cognitive science since the decade of 1990 – with this application becoming stronger in the first decade of the twenty-first century – and it has been better elaborated since then until the present days in central works of very influential authors [9, 10, 11, 12, 13, 14, 15, 18, 19, 20, 35, 36, 37, 38, 39, 40, 41, 42, 43]. According to this view, human cognition, specifically, as well as biological cognition, in general, can be understood and explained through complex models of multilevel neurocognitive mechanisms. At these levels, there are causal processes related to cognitive information processing, cognitive representation, cognitive computing, as well as processes related to chemical and physical reactions that can be used to explain a given cognitive phenomenon. These are, in fact, autonomous processes of causation, which take place at all these different levels and are relevant to the explanation of the phenomenon of interest [44]. According to this theory of human cognition, namely, MTHC, all these causal levels and processes, although autonomous, can be related in a pluralistic mechanistic explanation, where the relevant scientific theories are integrated. As a result, MTHC includes not only a theory of human cognition but also a theory of the human neurocognitive relationship; that is, the theoretical framework suggests a possible solution to the problem of how we are to understand and explain the connection between human neural and cognitive phenomena, thus attempting to relate neuroscience and cognitive science.
The main objective of a mechanistic scientific explanation in scientific areas, such as biology, cognitive neuroscience, and cognitive science, is to identify the parts of a mechanism, its operations, its organization, and thus show how these elements constitute the system’s relationship with the phenomenon that must be explained [9, 10, 45]. Particularly, in cognitive science, the central idea present in the theory is that human neurocognitive processes are a type of information processing performed by neural systems (mechanisms). These processes and the components that carry them out can be decomposed into subparts, and these subparts are decomposed again, as far as necessary for the understanding of the investigated phenomenon. After that, these components and activities have to be located in the brain as spatiotemporal parts of a complex multilevel neurobiological mechanism. As a result, there may be multiple levels of mechanistic composition in a human neurocognitive mechanism.
Another important feature of MTHC is that it was developed within a broad physicalist context that is present in a vast amount of work in contemporary cognitive science, philosophy of cognitive science, and philosophy of mind. In this physicalist context, the theory tries to combine central ideas present in traditional cognitive science with the main ideas present in certain fields of neuroscience that investigate human cognition. In this sense, some authors argue that this mechanistic physicalist framework can provide a consistent way to build a unified science of cognition and integrate cognitive science and neuroscience [23, 24, 25, 40].
Indeed, integrating and unifying, from a physicalist background, traditional cognitive science and traditional neuroscience to understand and investigate human cognition is an old dream held by many authors. Patricia Churchland, in 1986, calls for the unification of cognitive research and neural research in her book Neurophilosophy: Toward a unified science of the mind-brain. The aim of Churchland’s book was to outline a general framework that would be suitable for the development of a unified theory of what she called “mind-brain,” as well as to encourage the interaction between philosophy, psychology, and neuroscience [46].
It is possible to argue that MTHC was articulated with the objective of providing this integration and unification in a more precise theoretical way and within a clear physicalist background. The influential version of MTHC by William Bechtel is a clear example. He considers the human phenomenon “mind-brain” as “a set of mechanisms for controlling behavior” [9], and he explains that cognitive phenomena (e.g., perception, attention, memory, problem solving, and language) can be characterized as “information-processing mechanisms” [9]. Bechtel [9] states that scientific disciplines that aim to explain cognitive activities recognize that “in some way, these activities depend upon our brain.” Or, to put it in another way: “Psychological phenomena are realized in brains comprised of neurons” [45]. This means that cognitive phenomena are physical and need to be explained in some physical (neural) way.
Craver and Tabery [47] describe the physicalist commitment quite clearly—“many mechanists opt for some form of explanatory anti-reductionism, emphasizing the importance of multilevel and upward-looking explanations, without rejecting the central ideas that motivate a broad physicalist world-picture.” Therefore, in this approach, there is no space for any form of dualism, pluralism, or non-physicalism of any kind in relation to the ontology of human cognition. There is, indeed, a clear commitment to a form of ontological monism, namely, physicalism, that underlies the neo-mechanistic theory of human cognition.
Neo-mechanistic ideas about human cognitive phenomena are becoming increasingly dominant in fields related to theoretical cognitive science and cognitive neuroscience [48]. Consequently, the neo-mechanistic framework is often presented as one of the main theories, or the main theory, to explain human cognition in the twenty-first century.
3. Mechanistic model of human cognitive computation
Formulations of the idea that human cognition can be considered in computational terms can already arguably be found in the works of Thomas Hobbes (1588–1679) and Gottfried Leibniz (1646–1716). However, it is in the first half of the twentieth century that new developments in this tradition made the thesis gain great strength [49]. Alan Turing (1912–1954), with his work on computation, made a solid mathematical contribution to advances in the attempt to build machines capable of thinking like humans. And with the development of the computer and the emergence of studies in computer science and artificial intelligence, there was an even greater push for the acceptance of these ideas in the period. Indeed, these were crucial factors in the development of cognitive psychology in the 1950s and cognitive science (in the specific sense) in the 1970s. In discussing the foundations of cognitive science, Gardner [3] states that “there is the faith that central to any understanding of the human mind is the electronic computer.” Furthermore, according to him: “Involvement with computers, and belief in their relevance as a model of human thought, is pervasive in cognitive science” [3].
The first formulations of the philosophical foundations and the most central bases of the “computational theory of cognition” were presented, above all, in central works by Hilary Putnam (1926–2016) and Jerry Fodor (1935–2017). It is mainly based on works like these that the “classical model of cognitive computation” was formulated [49]. According to this proposal, the human mind is a computational system similar in important respects to a “Turing machine,” which works through “Turing-style computations.” In this view, cognitive processes, such as problem solving, decision making, and formal reasoning, are performed through computations similar to those of a Turing machine.
Another line of work, however, developed an alternative notion of cognitive computation. Inspired by research in the field of neurophysiology, some authors in the 1980s proposed that cognitive computation was something very different from Turing-style computation [50]. The correct format of cognitive computation for them was that of neural networks, in which, very briefly, data nodes are connected in a particular way so that when the network is activated through an input, it can provide an output. This framework became known as connectionism, and it has been developed in numerous works since then. Many cognitive models of different phenomena were built based on this view, such as object recognition, speech perception, and sentence comprehension.
The notion of “cognitive mechanistic computation” is part of this tradition, and it is especially related to the model of neural networks. Craver [10], for example, writes about the “computational properties of brain regions” and “computational properties of neural systems,” without giving much detail about what exactly this means. In any case, it is clear that the supposed computation is much more related to concrete properties of neural systems than to abstract functional properties of psychological capacities considered in terms of Turing computation or something similar. Milkowski [11], in turn, presents a proposal that holds that neurocognitive processing occurs over states that contain information, but he does not elaborate much on the content and the semantic dimension of cognitive information or of putative cognitive computations.
Bechtel [9, 19] considers mental mechanisms as information-processing mechanisms that operate through neural representations and neural computations about vehicles and content. In his view, the “control theory of dynamical systems” shows how content is placed in this context. And Thagard [14, 15] thinks that mental mechanisms operate through computations that take place on representations at the cognitive level and computations that take place at the neural and molecular levels. In Thagard’s work, there is also recourse to the “theory of dynamical systems” (as in Bechtel’s); however, just in his version of the mechanistic theory, there is a definite number of mechanistic levels and extensive discussion about the “semantic pointers theory” of Chris Eliasmith.
Finally, there is the work of Piccinini [12, 13, 51], which is one of the most theoretically sophisticated and detailed among neo-mechanists regarding such issues. The author defends a mechanistic neurocomputational theory of human cognition. In his view, the human nervous system is a functional mechanism that produces computations through the activation of neurons, while the processing occurs in vehicles according to rules. Cognitive capacities are explained then by multilevel neurocognitive mechanisms that perform neural computations over neural representations. Besides, he thinks that neural computation (i.e., computations defined on the functionally relevant elements of neural activity) is not purely digital, as classically understood, nor purely analog, as alternatively understood; in his view, neural computation is sui generis – neither wholly digital nor wholly analog.
One does not need to enter so deep into these individual theories to see that they differ significantly. Craver mentions computations but does not offer an elaborated account. Thagard is the only one mentioning semantic pointers as central to the account. Milkowski and Piccinini attempt to avoid the problems with content, by means of focusing on formal properties. And Bechtel uses control theory to deal with the issue of content. As a result, it is not possible to derive from those accounts a single theory, as each author develops his/her own point of view with its significant particularities. There is, therefore, no theoretical substantial unity among these proponents.
However, one can try to find common aspects to evaluate at least the most basic and important tenets. To do that, an analysis of two cases where this mechanistic view on human cognitive computation can be applied will be helpful.
One of the best examples found in the specialized literature of a concrete application of this view to particular cognitive phenomena is related to memory, which, indeed, has been traditionally an object of study in the field of psychology [9, 10]. Functional analyses of the human memory capacity reveal the existence of many sub-capacities, such as short-term memory, long-term memory, phonological memory, visuospatial memory, semantic memory, episodic memory, and memory consolidation. In mechanistic terms, one of the best-understood phenomena in this memory system is memory consolidation. Roughly put, this is the phenomenon of transforming short-term memories (which are liable and easy to disrupt) into long-term memories, which are robust and enduring, when consolidation takes place and permits the organism to remember important events for a longer period of time and modify its behavior accordingly [52]. To explain this phenomenon, all the relevant regions in the brain responsible for the functions that compose the neuro-cognitive mechanism of memory consolidation, including all relevant mechanistic levels of decomposition, must be identified, that is, all the particular component parts and component operations of the whole mechanism must be determined, as shown on Figure 1. Finally, the causal processes and causal interactions within the mechanism functions need also to be understood, that is, the general organization of the mechanism.
Figure 1.
An example of a simple model of a neuro-cognitive biological mechanism (M1). In this model, M1 is composed, at the level L1, by its component parts C1, C2, and C3, which perform the functions (or activities) f1, f2, and f3. The component parts can be decomposed into smaller components, as it happens with C3, which is composed, at level L2, of the sub-components SC1, SC2, SC3, and SC4. The component SC3 can be further decomposed, at level L3, into its subcomponents ssc1, ssc2, and ssc3.
The explanation starts at the highest level of the whole mechanism. At this level, it is necessary to correctly identify all the large neural network that is responsible for memory consolidation. Secondly, it must be established whether this large neural system is indeed all that is relevant for the explanation of the phenomenon. The mechanistic explanation at this level also needs to clarify how the neural network process information about new memory episodes through computational operationsand how these processes produce and affect, for instance, the different degrees of consolidation that characterize the memories under investigation.
Once this has been clarified, the explanation turns to the second level of description in which the large neural system is decomposed into particular sub-neural systems localized in more specific regions. Here the goal is to understand the information processing and computational operations (e.g., spiking patterns in populations of neurons) of these smaller neural networks and how they contribute to the performance of the whole mechanism composed of such neural nets.
Moreover, a further stage of decomposition must be reached that concerns the processes underlying memory at an intercellular level. The explanation at this particular level aims at describing the components of a particular neural network and at understanding how a small number of neurons operate (e.g., how they depolarize and fire in the process of propagation of action potentials, or how they are responsible for synaptic processes, neurotransmitters being released, and so on). Here it is possible to measure spiking rates of neurons, or spiking frequency and record neural activity in general.
Finally, the explanation can go even to another lower mechanistic level—the intracellular and molecular level. At this level, the description is in terms of the activity of relevant proteins, molecules, and ions. As one can see, this kind of explanation “exhibits a progression from the behavioral-level characterization of memory consolidation to the identification of important components in the process at progressively lower levels.” [52]. All levels are equally important to achieve the complete multilevel mechanistic explanation of the particular phenomenon in the end.
Another example is related to human visual perception [9, 13, 40], which is roughly understood as the capacity to acquire and process visual information from objects and events in the environment. In the biological mechanism related to human visual perception, the occipital lobe is central, since many studies on humans show deficits in visual processing due to damage in the occipital lobe. The mechanism also includes a projection of the optic tract going from the eye, passing by the lateral geniculate nucleus (LGN), which is an area of the thalamus, and achieving the occipital lobe. Besides, it includes the eyes, optic nerves, and other brain areas responsible for visual perception. All these areas can be decomposed in working components and their operations, and each decomposition is considered to be a lower level in the entire constitution of the mechanism. The occipital lobe, for instance, can be itself decomposed in areas responsible for particular visual functions, such as the striate cortex, also known as Brodmann area 17, or V1 (primary visual cortex, or visual area 1).
The same procedure can be done for all the other areas in the brain that are also part of the mechanism responsible for visual perception; for instance, V2, V3, V4, and V5/MT. It is necessary to identify also the cells (including visual receptor cells in the retina of the eye, such as cones and rods), networks of cells, or larger neural systems in these areas that are responsible for information processing and computation, for example, about light and dark spots, bars of light (edges), size, shape, color, depth, location, and motion of objects in the visual field. The mechanism also includes the pathways and channels through which the information is transmitted and the information about intercellular, intracellular, and molecular processes.
As one can observe by looking at these two examples, the notion of “computation” in the mechanistic framework stands for some causal interactions within the nervous system and this is how different brain regions “compute” different information. Each brain region “stands for” some kind of particular information—related to perception, sensation, memory, language, reasoning, emotion, etc. The substantial problems with such an account of human cognition will be analyzed in what follows.
4. Major challenges to the model
A great deal of criticism has arisen in the specialized literature concerning the notion of human cognitive computation. It is nearly impossible to review all of the works, but I will make some considerations of some of the most influential critics.
Fodor [53, 54, 55], for instance, claims that many mental representations (e.g., beliefs) and mental processes (e.g., abductive reasoning) are sensitive to global properties (i.e., properties that beliefs, for instance, have so that they are determined by a set of other beliefs which they are members of). For example, a belief about a tennis racket being broken may complicate the plan of playing tennis on the weekend, but not the plan of playing soccer. This means that a mental representation, such as an intention to play tennis, will depend on the context at the moment—whether there is a racket available for the game or not. Fodor argues, though, that classical symbolic computing models are only sensitive to local properties, and neural network models cannot handle this feature of human cognition.
Dreyfus [56], in turn, claims that much human knowledge cannot be captured by symbolic manipulation and formal rules, since this knowledge is constructed through direct contact and practicing in the world. Nagel [57] brings attention to the problem of phenomenal consciousness—roughly, the issue of what it feels like to experience something subjectively. Following this line of thinking, we can also say that a computer cannot know (if it can know anything) what it feels like to taste the flavor of chocolate. It has no idea of what it is like to eat chocolate, something that is quite basic for any child that does it. More than that, computers do not feel pain or pleasure, which is quite basic for human beings. Furthermore, Searle [58] brings attention to the difficulties related to intentionality, understanding, and meaning, with his famous “Chinese room argument.” And, additionally, Putnam [59] develops the idea that mental states cannot be identified with computational states, consequently arguing vigorously against computational reductionism3.
The case of Bruner’s critics is also very interesting. One of the names most frequently mentioned in influential works of historical reconstruction of the events and studies that contributed to the beginning and development of the cognitive movement in psychology is the American psychologist Jerome Bruner (1915–2016) [1, 2, 3, 60, 61]. He is recognized for having founded, together with George Miller (1920–2012), the Center for Cognitive Studies at Harvard University, in 1960. In addition, Bruner published, together with colleagues, in 1956, A Study of Thinking, in which he dealt, in a systematic way, with the formation of concepts under a cognitive perspective, which gave great impetus to the movement. In his various works, Bruner has contributed to scientific knowledge on various topics of psychology, such as perception, language, learning, and cognitive development [62].
One of the most interesting points in Bruner’s work, however, is his strong criticism of the very cognitive movement he helped to develop. He has presented this criticism in key works, such as Acts of Meaning, published in 1990, and The Culture of Education, published in 1996. Examination of these works can thus show what an author with a rigorous background in scientific psychology, a high degree of theoretical sophistication, and extensive research in the field observed that was wrong with the development of cognitivism.
In Acts of Meaning, Bruner [63] states that the original idea of the cognitivist movement of the 1950s was, in fact, to establish “meaning” as a central concept of psychology. However, in Bruner’s view, this original impulse was distorted by a reductionist emphasis, adopted by a dominant trend of the movement that defended computationalism. The emphasis was given to “information,” “processing of information,” and “computability;” and not to meaning and to “meaning construction” [63]. As a result of this approach, concepts central to traditional inquiry in scientific psychology have been distorted, eliminated, or obscured, such as the concepts of “intentional states” (believing, desiring, intending, understanding a meaning) and the concept of “agency,” that is, the conduct of human action under the influence of intentional states [63].
However, in Bruner’s view, this is not the way forward. In The Culture of Education, Bruner [64] says that, since the cognitive revolution, there have been two quite different conceptions of how the human mind works—the first establishes the hypothesis that the human mind works as a computational system; the second proposes the hypothesis that the human mind is constituted and realized in the use of human culture. Bruner claims that his version of cognitivism is not based on reductionist computationalism, but rather on what he called culturalism. He claims that his intention is really to develop a theory of the human mind alternative to computationalism and that his theory focuses exclusively on “how human beings in cultural communities create and transform meanings” [64].
One of the major problems pointed out by Bruner in the computationalist approach is that the production of meaning is often extremely complex, sensitive to the context, and involves the difficulty of clear and precise understanding [64]. This is not the same as establishing computational procedures for the processing of input and output information to the system, whether this is computational processing in digital format or the form of neural networks. For Bruner, meaning making is not merely information processing; it is something more profound and more complex. Culture, in his view, has a fundamental role in human life and it is only through it and in it that certain processes and mental structures are formed and used.
The human being, in Bruner’s view, was able to develop a way of life in which reality is represented by a symbolism shared by members of a cultural community, and human life is organized and built from this symbolism that is conserved, elaborated, and transmitted through successive generations [64]. Although meaning is in the mind and is produced by it, it also has its origins in culture and has its importance within the culture in which it was generated. And for the production of meanings, the human mind creates and makes use of symbolic cultural systems. Thus, in this view, thinking and learning are always situated in a cultural context [64]. Computer systems, however, are not capable of producing meanings. They only deal with a certain set of formalized and operationalized meanings, but they do not make interpretations of human and cultural phenomena.
Furthermore, there is no very clear reason to suppose that processes and relationships between all mental phenomena are literally computational in nature, nor that all mental representations have this same character. The application of the concept of computation to these phenomena investigated in the tradition of psychological research is based only on a working hypothesis present in a certain particular theoretical system. Nevertheless, there is as yet no concrete proof that all human cognition works according to a type of computational processing x, y, or z. In fact, finding out what kind of computational processing is related to the human mind has become an extremely debated issue internally by adherents of any computational model of human cognition [49]. It is no accident that comprehensive theoretical systems were developed precisely with the intention of questioning the computational model of cognition.
Now, to illustrate more concretely some of the difficulties mentioned with the notion of human cognitive computation, let us consider some cases involving conscious complex informal reasoning and conscious complex decision making where explanations for human behavior might be required [22].
Consider, firstly, a case where a person is dissatisfied with her marriage and is thinking about getting a divorce. To make such a decision, she has been consciously reflecting for months on the current state of the marriage, her beliefs about the relationship, her emotions about her partner, her desires and expectations in life, the beliefs of her family and closest friends about the issue and what are the reasons to take action in this regard. After thinking carefully for a very long time, being aware that she really does not feel comfortable and happy at all, she decides to go for a divorce.
Consider also a second example. A person needs to decide which candidate she will vote for as president of her country. To make this decision, she needs to use her conscious informal reasoning ability. Thus, she reflects on the arguments put forward by politicians running for the election, the arguments put forward by commentators, scientists, and political analysts, as well as journalists writing on the subject, and the arguments of friends and family she finds relevant and credible. After three months of thinking, she has not decided yet but is rather still in doubt concerning her vote in the major candidates A and B. When someone asks her which candidate she is going to vote, she says: “I still don’t know.” Then, some surprising news arises in a serious newspaper with charges of corruption against candidate A, and she is a frequent reader of this newspaper, so she becomes immediately aware of this. Upon reflection on the matter and related issues, she takes the new information seriously and she finally decides that voting for candidate B is the best option. The major reason is that there is no charge whatsoever of corruption against him. When she is asked now which candidate she is going to vote for, she answers immediately: “candidate B.” After she made up her mind, she finally goes to the appropriate place on the proper day and time to cast her vote.
A third example is the case of a college student who suffers from difficulties related to his excessive anxiety. Through a general psychological assessment, it can be seen that the factors related to student anxiety are financial difficulties, difficulties in family life where physical and psychological violence occurs, difficulties in finding leisure time to relax and have fun (since they need to work and study at the same time) and difficulties with excessive concerns about the uncertain future, as he believes that it will not be easy to find a job when he graduates. All of these factors seem to contribute to generate in the student’s mind distorted and dysfunctional negative thoughts about himself and his life, and it seems very plausible that these distorted thoughts are strongly associated with his excessive anxiety. This interpretation is, indeed, supported by numerous works in the specialized literature in clinical psychology. Thus, we observe that the most relevant causal factors to explain this psychological phenomenon are not merely computational, but psychological, social, and environmental.
Psychological scientific explanations, in these cases, need considerations that go beyond the investigation of computations being performed in nervous systems or even in any abstract functional system. What explains the psychological phenomenon of belief formation and decision making in the first example and the excessive anxiety in the third example is the meaning formation and interaction of beliefs, desires, and intentions to act (according to logical rules, practical rules, and interpretation of reality), which are strongly affected by emotions, physical environment, and social factors.
In the second example, evidently, an informative explanation would have to mention an important causal factor—the event of the corruption charges against candidate A, appearing in a serious newspaper. Moreover, the explanation would have to mention that the person becomes aware of this event, accepts it as reliable, accepts the charges as true and accurate, and now this content is present in one or some of her beliefs. In possession of this content, she can rationally justify herself when engaging in discussions about the topic with family, friends, and other people, providing reasons for her related beliefs and her related behaviors. Thus, the influence of the event on her is external and affects the internal logic and content of her systems of beliefs, emotions, desires, and intentions. This explanation involves then particular properties of human cognitive systems, present for instance in belief and intention systems. These properties are clearly different than those involved in merely describing supposed automatic computational activities in her neural networks or describing what is happening in terms of physical and chemical neural processes. The explanation for this phenomenon of belief formation, therefore, would also have to account for how this new information could change a particular belief given her system of beliefs about the topic.
In the examples above, there are cognitive processes that often necessitate consciousness and complex informal reasoning about belief systems that are often linked to particular perceptions, sensations, emotions, desires, intentions, attitudes, as well as related to each other and the external environment. Some of these beliefs have great value, such as some moral beliefs, which makes this whole dynamic even more complex. In these cases, blind computation might even occur at some level, but what is most relevant are environmental, social, cultural, historical, and psychological factors (such as beliefs, emotions, desires, and intentions) that acquire meaning in a given cognitive system.
The relevant explanation of the actions in such cases is made through considerations—(1) about the creation and alteration of the content of perceptions, beliefs, sensations, emotions, maxims, wills, desires, intentions, etc.; (2) about their internal relationships; and (3) about their external relationships with the physical, social, historical, and cultural context. Rigorous empirical scientific research can aid in discovering strong and systematic (stable) regularities in human behavior explained in such terms without the need for the notion of computation. Statistical tools and analysis, through the mathematical application, can bring greater objectivity, avoiding both an extremely subjective and confusing vocabulary, as well as unproductive speculation and mere common sense.
Moreover, self-consciousness here is crucial, since we humans have the ability to evaluate our own beliefs, not just to be aware that we have them. If we can access some beliefs as belonging to our cognitive belief system, we can evaluate whether they are true or false, precise or imprecise, how they are related to our emotions and sensations and we can decide if we want to keep them or not. The complex social dynamics are also crucial, since our systems of beliefs are constantly interacting with the beliefs of others during our lifetime and this interaction has a major influence on the formation and modification of our belief system, emotional system, and volitional system.
Therefore, human beings have the ability to form original belief systems and relate them according to logical and interpretative rules, building arguments to support their point of view, which often influences their behavior. Human beings are also able to think about different types of relevant information for months or years to make an important and complex decision. To make a difficult decision, a human being can take into account information related to plans for the very distant future, in which many scenarios are considered. A human may wonder what happened in the very distant past, or what might have happened, even if he or she knew what really happened. And complex informal reasoning and complex decision making are things that humans do naturally and often in their daily lives.
Thus, in cognitive science, it is necessary to deal with extremely complex phenomena, given that human beings show great differences when compared to other animals in nature. Human beings have a cumulative, complex, dynamic, and elaborate culture that is passed on through generations. Humans are also involved in understanding and writing their own history. They have natural languages with enormous, complex, and refined expressive power and sophisticated grammar. Human beings practice and appreciate art, such as literature, painting, cinema, and music. They engage in purely formal or very abstract thoughts when they do mathematics, logic, and engage in certain religious thoughts. They create legal laws for their societies and think about morality, building moral systems. They build artificial intelligence machines that are able to learn with a certain level of autonomy and are able to explore other planets. Furthermore, humans are involved in politics, science, and philosophy.
Computers, by contrast, so far, do not form beliefs on their own, they do not have the capacity to evaluate and improve them by themselves, and they do not interact in the social environment neither using natural language with a huge degree of sophistication as humans do nor engaging in social and cultural practices. If we look at the problem from a very concrete and objective point of view, we observe that even the most advanced computer systems, the most advanced robots, and the most advanced artificial neural and cognitive architectures today are still very far from behaving like human beings in relation to language and actions that involve consciousness and informal rationality. Humans are capable of playing chess, cooking pizza, making coffee, having a conversation about politics, creating a new song on a guitar, and playing tennis on the same day. No computational artificial system is currently capable of this generality in cognition. So, as a matter of current fact, computational artificial cognition cannot be used to fully explain the major capacities of human cognition and intelligence.
It is no surprise, then, that mechanistic accounts of psychological capacities usually suggest only where the putative computations are probably taking place in the idealized standard human brain (as we can see in the examples presented in the previous section), not what exactly are these computations and how they can be related to the internal subjective experience of a person (like the content of a strong belief, for instance, that can normally be accessed and become conscious).
Difficulties with the notion of cognitive computation are recognized by influential neo-mechanists themselves. Milkowski [21], for instance, concludes his work by admitting that we “still don’t know how to model consciousness mechanistically.” Additionally, there are several alternative models of cognitive computation in cognitive science nowadays—syntactic computation; algorithmic computation; causal computation; and semantic computation [65]. None of the models has gained significant prominence over the others concerning the understanding and explanation of human cognition. Finally, there is strong criticism even of the attempt by neo-mechanists to propose that good computational explanations in cognitive science must be also mechanistic explanations [66, 67].
Therefore, if we think about the issue from the point of view of current facts, we need to recognize that the neo-mechanistic proposal for human cognition is still far from being able to be considered the best or most plausible understanding and explanation of human cognition. It is just one view among many.
5. Conclusion
The mechanistic framework has been offering significant contributions to the field of cognitive science, on the one hand. One of its best contributions is the promotion of debates on the issue of human cognitive computation. In this sense, there is a search for a better understanding of what this notion actually means. All this effort is very worthwhile and welcome. More generally, the theoretical debate about fundamental questions in cognitive science promoted by new mechanists is also very important, as well as their effort to clarify what a “biological mechanism” and a “cognitive mechanism” are and what a “mechanistic explanation” in cognitive science is. Furthermore, another contribution of the new mechanistic philosophy is to encourage historical research and current debate, in cognitive science and beyond, about the relationship among “mechanism,” “materialism,” “reductionism” and “computationalism”, so that these concepts are not confused and that the positions adopted by the authors, as well as the different dimensions of the debate, are appreciated in a fair and correct way. Finally, the new mechanistic philosophy applied to cognitive science is also contributing to the important debate concerning the unity, integration, and plurality in the field.
On the other hand, however, many of the current promises of the new mechanism for cognitive science are quite difficult to fulfill. Firstly, neo-mechanistic philosophy is a philosophy of science built primarily from examples from the biological sciences and neuroscience that is serving as the basis for building a philosophy of the science of mind. We live in a period in which neuroscience and artificial intelligence research have gained great prestige and recognition. A great deal of economic investment has been made in these areas and this is very attractive. In part, this also influences “the new wave of mechanism,” and the necessity of some authors to expand the framework. However, numerous particularities related to psychology and human cognition are being neglected in this theoretical structure, as I tried to show.
Secondly, there is considerable disagreement among leading neo-mechanists over the most plausible formulation of MTHC regarding fundamental issues, such as the idea of human cognitive computation. Thus, there is a considerable difficulty related to the internal articulation and unification of the theory. Furthermore, many alternative major theories, and the research programs based on them, strongly threaten the neo-mechanistic framework in current cognitive science, since they are also seeking predominance in the field, or just for having more space and recognition.
Given this, we can conclude that the mechanistic model of human cognitive computation cannot provide substantial theoretical or explanatory unification or integration to the field of cognitive science today, since there is no unification between the proponents themselves. Moreover, their different proposals are often unclear on many important aspects concerning traditional problems of intentionality, consciousness, and self-consciousness. The accounts are sometimes internally not well-articulated; and, externally, there is serious criticism of them, with countless debates and controversies on several fundamental questions. In addition, there are several alternative models competing for predominance on this particular issue. And it is yet by no means clear whether the explanatory power of any of them is greater than the explanatory power of the others.
This analysis shows, therefore, that the neo-mechanistic proposal concerning human cognitive computation has serious weaknesses. But the problem is not to use the idea of cognitive computing to advance models of biological and artificial cognitive architectures, since many human cognitive abilities can already be simulated. Indeed, it is very interesting to see that our science has advanced to the point where a computer can win against the best chess and go game players in the world. In fact, advancements within computational artificial systems and robotics could well be applied to improve our educational and health systems. For example, inspired by scientific developments in the field of cognitive science, artificial cognitive systems could possibly be developed to help children with the learning process of mathematics, natural language, or history at schools, or even at the university level. Artificial systems could possibly be developed to help people with excessive anxiety symptoms, as well. This could be extremely worthwhile. Moreover, better and more advanced artificial cognitive systems and robotic systems can contribute to improving theories of human cognition, as much as better and more correct theories of human cognition can help in faster advancements of cognitive artificial systems and robotic systems. But there is good reason to keep these efforts separated and to consider human cognition as a very complex and particular phenomenon in nature.
The problem arises only with the untenable suggestion that we already have, or that we are very close to getting, the complete and definitive understanding and explanation of all the major capacities of human cognition in computational terms. This, yes, is a mistake.
Conflict of interest
The author declares no conflict of interest.
\n',keywords:"theoretical cognitive science, human cognitive computation, consciousness, informal reasoning, decision making and action",chapterPDFUrl:"https://cdn.intechopen.com/pdfs/81693.pdf",chapterXML:"https://mts.intechopen.com/source/xml/81693.xml",downloadPdfUrl:"/chapter/pdf-download/81693",previewPdfUrl:"/chapter/pdf-preview/81693",totalDownloads:3,totalViews:0,totalCrossrefCites:0,dateSubmitted:"January 14th 2022",dateReviewed:"April 19th 2022",datePrePublished:"May 18th 2022",datePublished:null,dateFinished:"May 7th 2022",readingETA:"0",abstract:"The neo-mechanistic theory of human cognition is currently one of the most accepted major theories in fields, such as cognitive science and cognitive neuroscience. This proposal offers an account of human cognitive computation, and it has been considered by its proponents as revolutionary and capable of integrating research concerning human cognition with new evidence provided by fields of biology and neuroscience. However, some complex cognitive capacities still present a challenge for explanations constructed by using this theoretical structure. In this chapter, I make a presentation of some of the central tenets of this framework and show in what dimensions it helps our understanding of human cognition concerning aspects of capacities, such as visual perception and memory consolidation. My central goal, however, is to show that to understand and explain some particular human cognitive capacities, such as self-consciousness and some conscious informal reasoning and decision making, the framework shows substantial limitations. I conclude the chapter by suggesting that to fully understand human cognition we will need much more than what the neo-mechanistic framework is actually able to provide.",reviewType:"peer-reviewed",bibtexUrl:"/chapter/bibtex/81693",risUrl:"/chapter/ris/81693",signatures:"Diego Azevedo Leite",book:{id:"10823",type:"book",title:"Cognitive Robotics",subtitle:null,fullTitle:"Cognitive Robotics",slug:null,publishedDate:null,bookSignature:"Dr. Maki K. Habib",coverURL:"https://cdn.intechopen.com/books/images_new/10823.jpg",licenceType:"CC BY 3.0",editedByType:null,isbn:"978-1-80355-388-7",printIsbn:"978-1-80355-387-0",pdfIsbn:"978-1-80355-389-4",isAvailableForWebshopOrdering:!0,editors:[{id:"80821",title:"Dr.",name:"Maki K.",middleName:null,surname:"Habib",slug:"maki-k.-habib",fullName:"Maki K. Habib"}],productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"}},authors:null,sections:[{id:"sec_1",title:"1. Introduction",level:"1"},{id:"sec_2",title:"2. Mechanistic theory of human cognition",level:"1"},{id:"sec_3",title:"3. Mechanistic model of human cognitive computation",level:"1"},{id:"sec_4",title:"4. Major challenges to the model",level:"1"},{id:"sec_5",title:"5. Conclusion",level:"1"},{id:"sec_9",title:"Conflict of interest",level:"1"}],chapterReferences:[{id:"B1",body:'Leahey TH. A History of Psychology: From Antiquity to Modernity. 8th ed. New York: Routledge; 2018'},{id:"B2",body:'Mandler G. A History of Modern Experimental Psychology: From James and Wundt to Cognitive Science. Cambridge, MA: MIT Press; 2007'},{id:"B3",body:'Gardner H. The Mind’s New Science: A History of the Cognitive Revolution. New York: Basic Books; 1985'},{id:"B4",body:'Glennan S. The New Mechanical Philosophy. Oxford: Oxford University Press; 2017'},{id:"B5",body:'Glennan S, Illari P. Introduction: Mechanisms and mechanical philosophies. In: Glennan S, Illari P, editors. 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In defense of the semantic view of computation. Synthese. 2020;197:4083-4108. DOI: 10.1007/s11229-018-01921-z'},{id:"B66",body:'Chirimuuta M. Minimal models and canonical neural computations: The distinctness of computational explanation in neuroscience. Synthese. 2014;191(2):127-153'},{id:"B67",body:'Serban M. The scope and limits of a mechanistic view of computational explanation. Synthese. 2015;192:3371-3396'}],footnotes:[{id:"fn1",explanation:'I will use the term "cognitive science" in a general sense and a specific sense. In the general sense, the term will be treated as synonymous with the term "psychology" [1, 2]. In a specific sense, it will be treated as an attempt to build a science of cognition, integrating several different areas of knowledge, which took place in the 1970s in the USA [3].'},{id:"fn2",explanation:'I will use the term "cognition" as synonymous of the term "mind" for the sake of clarity and objectivity. For an important discussion concerning the term "cognition," cf. Akagi [8].'},{id:"fn3",explanation:"Of course, these arguments are still being strongly debated currently, and there are many attempts to answer these concerns. If the answers are satisfying or not, it is something that cannot be settled here. However, in any case, these arguments taken together provide a very compelling case against the idea that all human cognition can be understood and explained in computational terms."}],contributors:[{corresp:"yes",contributorFullName:"Diego Azevedo Leite",address:"diego.azevedo@unifal-mg.edu.br",affiliation:'
Federal University of Alfenas, Alfenas, Minas Gerais, Brazil
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Corresponding authors will receive a 25% discount on their Open Access Publication Fees (OAPF) for Open Access book chapters. A 20% discount for publishing a long-form monographs, 25% for compacts and 23% for short-form monographs.
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CSIC affiliated authors can also take advantage of a central Open Access fund (amounting to 10,000 EUR) to cover up to 50% of the rest of the OAPF until it expires. Effective for chapters accepted from January 1, 2020.
Corresponding authors will receive a 25% discount on their Open Access Publication Fees (OAPF) for Open Access book chapters. A 20% discount for publishing a long-form monographs, 25% for compacts and 23% for short-form monographs.
Corresponding authors will receive a 25% discount on their Open Access Publication Fees (OAPF) for Open Access book chapters. A 20% discount for publishing a long-form monographs, 25% for compacts and 23% for short-form monographs.
Corresponding authors will receive a 25% discount on their Open Access Publication Fees (OAPF) for Open Access book chapters. A 20% discount for publishing a long-form monographs, 25% for compacts and 23% for short-form monographs.
The Claremont Colleges are pledging funds via the Knowledge Unlatched program to ensure academics can publish Open Access content more easily.
\\n\\n
Corresponding authors will receive a 15% discount on their Open Access Publication Fees (OAPF) for Open Access book chapters or monograph publications. To use the discount you will need to verify your institutional email address. These discounts are valid from 2020 to 2022.
The University of Massachusetts, Amherst is pledging funds via the Knowledge Unlatched program to ensure academics can publish Open Access content more easily.
\\n\\n
Corresponding authors will receive a 10% discount on their Open Access Publication Fees (OAPF) for Open Access book chapters or monograph publications. To use the discount you will need to verify your institutional email address. These discounts are valid from 2020 to 2022.
The University of Surrey is pledging funds via the Knowledge Unlatched program to ensure academics can publish Open Access content more easily.
\\n\\n
Corresponding authors will receive a 10% discount on their Open Access Publication Fees (OAPF) for Open Access book chapters or monograph publications. To use the discount you will need to verify your institutional email address. These discounts are valid from 2020 to 2022.
\\n\\n
\\n\\t
Virginia Polytechnic Institute and State University
Corresponding authors will receive a 25% discount on their Open Access Publication Fees (OAPF) for Open Access book chapters. A 20% discount for publishing a long-form monographs, 25% for compacts and 23% for short-form monographs.
\n\n
CSIC affiliated authors can also take advantage of a central Open Access fund (amounting to 10,000 EUR) to cover up to 50% of the rest of the OAPF until it expires. Effective for chapters accepted from January 1, 2020.
Corresponding authors will receive a 25% discount on their Open Access Publication Fees (OAPF) for Open Access book chapters. A 20% discount for publishing a long-form monographs, 25% for compacts and 23% for short-form monographs.
Corresponding authors will receive a 25% discount on their Open Access Publication Fees (OAPF) for Open Access book chapters. A 20% discount for publishing a long-form monographs, 25% for compacts and 23% for short-form monographs.
Corresponding authors will receive a 25% discount on their Open Access Publication Fees (OAPF) for Open Access book chapters. A 20% discount for publishing a long-form monographs, 25% for compacts and 23% for short-form monographs.
The Claremont Colleges are pledging funds via the Knowledge Unlatched program to ensure academics can publish Open Access content more easily.
\n\n
Corresponding authors will receive a 15% discount on their Open Access Publication Fees (OAPF) for Open Access book chapters or monograph publications. To use the discount you will need to verify your institutional email address. These discounts are valid from 2020 to 2022.
The University of Massachusetts, Amherst is pledging funds via the Knowledge Unlatched program to ensure academics can publish Open Access content more easily.
\n\n
Corresponding authors will receive a 10% discount on their Open Access Publication Fees (OAPF) for Open Access book chapters or monograph publications. To use the discount you will need to verify your institutional email address. These discounts are valid from 2020 to 2022.
The University of Surrey is pledging funds via the Knowledge Unlatched program to ensure academics can publish Open Access content more easily.
\n\n
Corresponding authors will receive a 10% discount on their Open Access Publication Fees (OAPF) for Open Access book chapters or monograph publications. To use the discount you will need to verify your institutional email address. These discounts are valid from 2020 to 2022.
\n\n
\n\t
Virginia Polytechnic Institute and State University
Important: You must be a member or grantee of the above listed institutions in order to apply for their Open Access publication funds.
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\r\n\tScientists have long researched to understand the environment and man’s place in it. The search for this knowledge grows in importance as rapid increases in population and economic development intensify humans’ stresses on ecosystems. Fortunately, rapid increases in multiple scientific areas are advancing our understanding of environmental sciences. Breakthroughs in computing, molecular biology, ecology, and sustainability science are enhancing our ability to utilize environmental sciences to address real-world problems. \r\n\tThe four topics of this book series - Pollution; Environmental Resilience and Management; Ecosystems and Biodiversity; and Water Science - will address important areas of advancement in the environmental sciences. They will represent an excellent initial grouping of published works on these critical topics.
",coverUrl:"https://cdn.intechopen.com/series/covers/25.jpg",latestPublicationDate:"April 13th, 2022",hasOnlineFirst:!1,numberOfPublishedBooks:1,editor:{id:"197485",title:"Dr.",name:"J. Kevin",middleName:null,surname:"Summers",slug:"j.-kevin-summers",fullName:"J. Kevin Summers",profilePictureURL:"https://mts.intechopen.com/storage/users/197485/images/system/197485.jpg",biography:"J. Kevin Summers is a Senior Research Ecologist at the Environmental Protection Agency’s (EPA) Gulf Ecosystem Measurement and Modeling Division. He is currently working with colleagues in the Sustainable and Healthy Communities Program to develop an index of community resilience to natural hazards, an index of human well-being that can be linked to changes in the ecosystem, social and economic services, and a community sustainability tool for communities with populations under 40,000. He leads research efforts for indicator and indices development. Dr. Summers is a systems ecologist and began his career at the EPA in 1989 and has worked in various programs and capacities. This includes leading the National Coastal Assessment in collaboration with the Office of Water which culminated in the award-winning National Coastal Condition Report series (four volumes between 2001 and 2012), and which integrates water quality, sediment quality, habitat, and biological data to assess the ecosystem condition of the United States estuaries. He was acting National Program Director for Ecology for the EPA between 2004 and 2006. He has authored approximately 150 peer-reviewed journal articles, book chapters, and reports and has received many awards for technical accomplishments from the EPA and from outside of the agency. 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He also has an honorary appointment to serve as a Collaborative Professor at Kanazawa University, Japan, from Mar 2015 to the present. \nFormerly, Dr. Rahman was a faculty member of the University of Chittagong, Bangladesh, affiliated with the Department of Chemistry (Oct 2002 to Mar 2012) and the Department of Applied Chemistry and Chemical Engineering (Mar 2012 to Sep 2015). Dr. Rahman was also adjunctly attached with Kanazawa University, Japan (Visiting Research Professor, Dec 2014 to Mar 2015; JSPS Postdoctoral Research Fellow, Apr 2012 to Mar 2014), and Tokyo Institute of Technology, Japan (TokyoTech-UNESCO Research Fellow, Oct 2004–Sep 2005). \nHe received his Ph.D. degree in Environmental Analytical Chemistry from Kanazawa University, Japan (2011). He also achieved a Diploma in Environment from the Tokyo Institute of Technology, Japan (2005). Besides, he has an M.Sc. degree in Applied Chemistry and a B.Sc. degree in Chemistry, all from the University of Chittagong, Bangladesh. \nDr. Rahman’s research interest includes the study of the fate and behavior of environmental pollutants in the biosphere; design of low energy and low burden environmental improvement (remediation) technology; implementation of sustainable waste management practices for treatment, handling, reuse, and ultimate residual disposition of solid wastes; nature and type of interactions in organic liquid mixtures for process engineering design applications.",institutionString:null,institution:{name:"Fukushima University",institutionURL:null,country:{name:"Japan"}}},editorTwo:{id:"201020",title:"Dr.",name:"Zinnat Ara",middleName:null,surname:"Begum",slug:"zinnat-ara-begum",fullName:"Zinnat Ara Begum",profilePictureURL:"https://mts.intechopen.com/storage/users/201020/images/system/201020.jpeg",biography:"Zinnat A. 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The research focus of Dr. Zinnat includes the effect of the relative stability of metal-chelator complexes in the environmental remediation process designs and the development of eco-friendly soil washing techniques using biodegradable chelators.",institutionString:null,institution:{name:"Fukushima University",institutionURL:null,country:{name:"Japan"}}},editorThree:null},{id:"39",title:"Environmental Resilience and Management",coverUrl:"https://cdn.intechopen.com/series_topics/covers/39.jpg",isOpenForSubmission:!0,annualVolume:11967,editor:{id:"137040",title:"Prof.",name:"Jose",middleName:null,surname:"Navarro-Pedreño",slug:"jose-navarro-pedreno",fullName:"Jose Navarro-Pedreño",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRAXrQAO/Profile_Picture_2022-03-09T15:50:19.jpg",biography:"Full professor at University Miguel Hernández of Elche, Spain, previously working at the University of Alicante, Autonomous University of Madrid and Polytechnic University of Valencia. Graduate in Sciences (Chemist), graduate in Geography and History (Geography), master in Water Management, Treatment, master in Fertilizers and Environment and master in Environmental Management; Ph.D. in Environmental Sciences. His research is focused on soil-water and waste-environment relations, mainly on soil-water and soil-waste interactions under different management and waste reuse. His work is reflected in more than 230 communications presented in national and international conferences and congresses, 29 invited lectures from universities, associations and government agencies. 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His research activity is linked to the taxonomy, fauna and ecology of marine benthic invertebrates and especially the Cnidarian group. Since 2004, he has been part of the EcoAfrik project, aimed at the study, protection and conservation of biodiversity and benthic habitats in West Africa. He also participated in the study of vulnerable marine ecosystems associated with seamounts in the South Atlantic and is involved in training young African researchers in the field of marine research.",institutionString:null,institution:{name:"University of Vigo",institutionURL:null,country:{name:"Spain"}}}},{id:"41",title:"Water Science",coverUrl:"https://cdn.intechopen.com/series_topics/covers/41.jpg",isOpenForSubmission:!0,annualVolume:11969,editor:{id:"349630",title:"Dr.",name:"Yizi",middleName:null,surname:"Shang",slug:"yizi-shang",fullName:"Yizi Shang",profilePictureURL:"https://mts.intechopen.com/storage/users/349630/images/system/349630.jpg",biography:"Prof. Dr. Yizi Shang is a pioneering researcher in hydrology and water resources who has devoted his research career to promoting the conservation and protection of water resources for sustainable development. He is presently associate editor of Water International (official journal of the International Water Resources Association). He was also invited to serve as an associate editor for special issues of the Journal of the American Water Resources Association. He has served as an editorial member for international journals such as Hydrology, Journal of Ecology & Natural Resources, and Hydro Science & Marine Engineering, among others. He has chaired or acted as a technical committee member for twenty-five international forums (conferences). Dr. Shang graduated from Tsinghua University, China, in 2010 with a Ph.D. in Engineering. Prior to that, he worked as a research fellow at Harvard University from 2008 to 2009. Dr. Shang serves as a senior research engineer at the China Institute of Water Resources and Hydropower Research (IWHR) and was awarded as a distinguished researcher at National Taiwan University in 2017.",institutionString:"China Institute of Water Resources and Hydropower Research",institution:{name:"China Institute of Water Resources and Hydropower Research",institutionURL:null,country:{name:"China"}}},editorTwo:null,editorThree:null}]},overviewPageOFChapters:{paginationCount:17,paginationItems:[{id:"81791",title:"Self-Supervised Contrastive Representation Learning in Computer Vision",doi:"10.5772/intechopen.104785",signatures:"Yalin Bastanlar and Semih Orhan",slug:"self-supervised-contrastive-representation-learning-in-computer-vision",totalDownloads:12,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Pattern Recognition - New Insights",coverURL:"https://cdn.intechopen.com/books/images_new/11442.jpg",subseries:{id:"26",title:"Machine Learning and Data Mining"}}},{id:"79345",title:"Application of Jump Diffusion Models in Insurance Claim Estimation",doi:"10.5772/intechopen.99853",signatures:"Leonard Mushunje, Chiedza Elvina Mashiri, Edina Chandiwana and Maxwell Mashasha",slug:"application-of-jump-diffusion-models-in-insurance-claim-estimation-1",totalDownloads:2,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Data Clustering",coverURL:"https://cdn.intechopen.com/books/images_new/10820.jpg",subseries:{id:"26",title:"Machine Learning and Data Mining"}}},{id:"81557",title:"Object Tracking Using Adapted Optical Flow",doi:"10.5772/intechopen.102863",signatures:"Ronaldo Ferreira, Joaquim José de Castro Ferreira and António José Ribeiro Neves",slug:"object-tracking-using-adapted-optical-flow",totalDownloads:11,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Information Extraction and Object Tracking in Digital Video",coverURL:"https://cdn.intechopen.com/books/images_new/10652.jpg",subseries:{id:"24",title:"Computer Vision"}}},{id:"81558",title:"Thresholding Image Techniques for Plant Segmentation",doi:"10.5772/intechopen.104587",signatures:"Miguel Ángel Castillo-Martínez, Francisco Javier Gallegos-Funes, Blanca E. 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(Eng.) in Telematics from the Universidad de Colima, Mexico. He obtained both his M.Sc. and Ph.D. from the University of Liverpool, England, in the field of Intelligent Systems. He is a full professor at the Universidad Autonoma de Queretaro, Mexico, and a member of the National System of Researchers (SNI) since 2009. Dr. Aceves Fernandez has published more than 80 research papers as well as a number of book chapters and congress papers. He has contributed in more than 20 funded research projects, both academic and industrial, in the area of artificial intelligence, ranging from environmental, biomedical, automotive, aviation, consumer, and robotics to other applications. He is also a honorary president at the National Association of Embedded Systems (AMESE), a senior member of the IEEE, and a board member of many institutions. 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He is currently a principal researcher in data analytics and optimisation at TECNALIA (Spain), a visiting fellow at the Basque Center for Applied Mathematics (BCAM) and a part-time lecturer at the University of the Basque Country (UPV/EHU). His research interests gravitate on the use of descriptive, prescriptive and predictive algorithms for data mining and optimization in a diverse range of application fields such as Energy, Transport, Telecommunications, Health and Industry, among others. In these fields he has published more than 240 articles, co-supervised 8 Ph.D. theses, edited 6 books, coauthored 7 patents and participated/led more than 40 research projects. 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The motor of the society is the industry and the research of this topic has to be empowered in order to increase and improve the quality of our lives.",coverUrl:"https://cdn.intechopen.com/series_topics/covers/22.jpg",keywords:"Machine Learning, Intelligence Algorithms, Data Science, Artificial Intelligence, Applications on Applied Intelligence"},{id:"23",title:"Computational Neuroscience",scope:"Computational neuroscience focuses on biologically realistic abstractions and models validated and solved through computational simulations to understand principles for the development, structure, physiology, and ability of the nervous system. This topic is dedicated to biologically plausible descriptions and computational models - at various abstraction levels - of neurons and neural systems. This includes, but is not limited to: single-neuron modeling, sensory processing, motor control, memory, and synaptic plasticity, attention, identification, categorization, discrimination, learning, development, axonal patterning, guidance, neural architecture, behaviors, and dynamics of networks, cognition and the neuroscientific basis of consciousness. Particularly interesting are models of various types of more compound functions and abilities, various and more general fundamental principles (e.g., regarding architecture, organization, learning, development, etc.) found at various spatial and temporal levels.",coverUrl:"https://cdn.intechopen.com/series_topics/covers/23.jpg",keywords:"Single-Neuron Modeling, Sensory Processing, Motor Control, Memory and Synaptic Pasticity, Attention, Identification, Categorization, Discrimination, Learning, Development, Axonal Patterning and Guidance, Neural Architecture, Behaviours and Dynamics of Networks, Cognition and the Neuroscientific Basis of Consciousness"},{id:"24",title:"Computer Vision",scope:"The scope of this topic is to disseminate the recent advances in the rapidly growing field of computer vision from both the theoretical and practical points of view. Novel computational algorithms for image analysis, scene understanding, biometrics, deep learning and their software or hardware implementations for natural and medical images, robotics, VR/AR, applications are some research directions relevant to this topic.",coverUrl:"https://cdn.intechopen.com/series_topics/covers/24.jpg",keywords:"Image Analysis, Scene Understanding, Biometrics, Deep Learning, Software Implementation, Hardware Implementation, Natural Images, Medical Images, Robotics, VR/AR"},{id:"25",title:"Evolutionary Computation",scope:"Evolutionary computing is a paradigm that has grown dramatically in recent years. This group of bio-inspired metaheuristics solves multiple optimization problems by applying the metaphor of natural selection. It so far has solved problems such as resource allocation, routing, schedule planning, and engineering design. Moreover, in the field of machine learning, evolutionary computation has carved out a significant niche both in the generation of learning models and in the automatic design and optimization of hyperparameters in deep learning models. This collection aims to include quality volumes on various topics related to evolutionary algorithms and, alternatively, other metaheuristics of interest inspired by nature. For example, some of the issues of interest could be the following: Advances in evolutionary computation (Genetic algorithms, Genetic programming, Bio-inspired metaheuristics, Hybrid metaheuristics, Parallel ECs); Applications of evolutionary algorithms (Machine learning and Data Mining with EAs, Search-Based Software Engineering, Scheduling, and Planning Applications, Smart Transport Applications, Applications to Games, Image Analysis, Signal Processing and Pattern Recognition, Applications to Sustainability).",coverUrl:"https://cdn.intechopen.com/series_topics/covers/25.jpg",keywords:"Genetic Algorithms, Genetic Programming, Evolutionary Programming, Evolution Strategies, Hybrid Algorithms, Bioinspired Metaheuristics, Ant Colony Optimization, Evolutionary Learning, Hyperparameter Optimization"},{id:"26",title:"Machine Learning and Data Mining",scope:"The scope of machine learning and data mining is immense and is growing every day. It has become a massive part of our daily lives, making predictions based on experience, making this a fascinating area that solves problems that otherwise would not be possible or easy to solve. This topic aims to encompass algorithms that learn from experience (supervised and unsupervised), improve their performance over time and enable machines to make data-driven decisions. It is not limited to any particular applications, but contributions are encouraged from all disciplines.",coverUrl:"https://cdn.intechopen.com/series_topics/covers/26.jpg",keywords:"Intelligent Systems, Machine Learning, Data Science, Data Mining, Artificial Intelligence"},{id:"27",title:"Multi-Agent Systems",scope:"Multi-agent systems are recognised as a state of the art field in Artificial Intelligence studies, which is popular due to the usefulness in facilitation capabilities to handle real-world problem-solving in a distributed fashion. The area covers many techniques that offer solutions to emerging problems in robotics and enterprise-level software systems. Collaborative intelligence is highly and effectively achieved with multi-agent systems. Areas of application include swarms of robots, flocks of UAVs, collaborative software management. Given the level of technological enhancements, the popularity of machine learning in use has opened a new chapter in multi-agent studies alongside the practical challenges and long-lasting collaboration issues in the field. It has increased the urgency and the need for further studies in this field. We welcome chapters presenting research on the many applications of multi-agent studies including, but not limited to, the following key areas: machine learning for multi-agent systems; modeling swarms robots and flocks of UAVs with multi-agent systems; decision science and multi-agent systems; software engineering for and with multi-agent systems; tools and technologies of multi-agent systems.",coverUrl:"https://cdn.intechopen.com/series_topics/covers/27.jpg",keywords:"Collaborative Intelligence, Learning, Distributed Control System, Swarm Robotics, Decision Science, Software Engineering"}],annualVolumeBook:{},thematicCollection:[],selectedSeries:{title:"Artificial Intelligence",id:"14"},selectedSubseries:null},seriesLanding:{item:{id:"25",title:"Environmental Sciences",doi:"10.5772/intechopen.100362",issn:"2754-6713",scope:"
\r\n\tScientists have long researched to understand the environment and man’s place in it. The search for this knowledge grows in importance as rapid increases in population and economic development intensify humans’ stresses on ecosystems. Fortunately, rapid increases in multiple scientific areas are advancing our understanding of environmental sciences. Breakthroughs in computing, molecular biology, ecology, and sustainability science are enhancing our ability to utilize environmental sciences to address real-world problems. \r\n\tThe four topics of this book series - Pollution; Environmental Resilience and Management; Ecosystems and Biodiversity; and Water Science - will address important areas of advancement in the environmental sciences. They will represent an excellent initial grouping of published works on these critical topics.
",coverUrl:"https://cdn.intechopen.com/series/covers/25.jpg",latestPublicationDate:"April 13th, 2022",hasOnlineFirst:!1,numberOfOpenTopics:4,numberOfPublishedChapters:9,numberOfPublishedBooks:1,editor:{id:"197485",title:"Dr.",name:"J. Kevin",middleName:null,surname:"Summers",fullName:"J. Kevin Summers",profilePictureURL:"https://mts.intechopen.com/storage/users/197485/images/system/197485.jpg",biography:"J. Kevin Summers is a Senior Research Ecologist at the Environmental Protection Agency’s (EPA) Gulf Ecosystem Measurement and Modeling Division. He is currently working with colleagues in the Sustainable and Healthy Communities Program to develop an index of community resilience to natural hazards, an index of human well-being that can be linked to changes in the ecosystem, social and economic services, and a community sustainability tool for communities with populations under 40,000. He leads research efforts for indicator and indices development. Dr. Summers is a systems ecologist and began his career at the EPA in 1989 and has worked in various programs and capacities. This includes leading the National Coastal Assessment in collaboration with the Office of Water which culminated in the award-winning National Coastal Condition Report series (four volumes between 2001 and 2012), and which integrates water quality, sediment quality, habitat, and biological data to assess the ecosystem condition of the United States estuaries. He was acting National Program Director for Ecology for the EPA between 2004 and 2006. He has authored approximately 150 peer-reviewed journal articles, book chapters, and reports and has received many awards for technical accomplishments from the EPA and from outside of the agency. Dr. Summers holds a BA in Zoology and Psychology, an MA in Ecology, and Ph.D. in Systems Ecology/Biology.",institutionString:null,institution:{name:"Environmental Protection Agency",institutionURL:null,country:{name:"United States of America"}}},subseries:[{id:"38",title:"Pollution",keywords:"Human activity, Pollutants, Reduced risks, Population growth, Waste disposal, Remediation, Clean environment",scope:"
\r\n\tPollution is caused by a wide variety of human activities and occurs in diverse forms, for example biological, chemical, et cetera. In recent years, significant efforts have been made to ensure that the environment is clean, that rigorous rules are implemented, and old laws are updated to reduce the risks towards humans and ecosystems. However, rapid industrialization and the need for more cultivable sources or habitable lands, for an increasing population, as well as fewer alternatives for waste disposal, make the pollution control tasks more challenging. Therefore, this topic will focus on assessing and managing environmental pollution. It will cover various subjects, including risk assessment due to the pollution of ecosystems, transport and fate of pollutants, restoration or remediation of polluted matrices, and efforts towards sustainable solutions to minimize environmental pollution.
",annualVolume:11966,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/38.jpg",editor:{id:"110740",title:"Dr.",name:"Ismail M.M.",middleName:null,surname:"Rahman",fullName:"Ismail M.M. Rahman",profilePictureURL:"https://mts.intechopen.com/storage/users/110740/images/2319_n.jpg",institutionString:null,institution:{name:"Fukushima University",institutionURL:null,country:{name:"Japan"}}},editorTwo:{id:"201020",title:"Dr.",name:"Zinnat Ara",middleName:null,surname:"Begum",fullName:"Zinnat Ara Begum",profilePictureURL:"https://mts.intechopen.com/storage/users/201020/images/system/201020.jpeg",institutionString:null,institution:{name:"Fukushima University",institutionURL:null,country:{name:"Japan"}}},editorThree:null,editorialBoard:[{id:"252368",title:"Dr.",name:"Meng-Chuan",middleName:null,surname:"Ong",fullName:"Meng-Chuan Ong",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRVotQAG/Profile_Picture_2022-05-20T12:04:28.jpg",institutionString:null,institution:{name:"Universiti Malaysia Terengganu",institutionURL:null,country:{name:"Malaysia"}}},{id:"63465",title:"Prof.",name:"Mohamed Nageeb",middleName:null,surname:"Rashed",fullName:"Mohamed Nageeb Rashed",profilePictureURL:"https://mts.intechopen.com/storage/users/63465/images/system/63465.gif",institutionString:null,institution:{name:"Aswan University",institutionURL:null,country:{name:"Egypt"}}},{id:"187907",title:"Dr.",name:"Olga",middleName:null,surname:"Anne",fullName:"Olga Anne",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bSBE5QAO/Profile_Picture_2022-04-07T09:42:13.png",institutionString:null,institution:{name:"Klaipeda State University of Applied Sciences",institutionURL:null,country:{name:"Lithuania"}}}]},{id:"39",title:"Environmental Resilience and Management",keywords:"Anthropic effects, Overexploitation, Biodiversity loss, Degradation, Inadequate Management, SDGs adequate practices",scope:"
\r\n\tThe environment is subject to severe anthropic effects. Among them are those associated with pollution, resource extraction and overexploitation, loss of biodiversity, soil degradation, disorderly land occupation and planning, and many others. These anthropic effects could potentially be caused by any inadequate management of the environment. However, ecosystems have a resilience that makes them react to disturbances which mitigate the negative effects. It is critical to understand how ecosystems, natural and anthropized, including urban environments, respond to actions that have a negative influence and how they are managed. It is also important to establish when the limits marked by the resilience and the breaking point are achieved and when no return is possible. The main focus for the chapters is to cover the subjects such as understanding how the environment resilience works, the mechanisms involved, and how to manage them in order to improve our interactions with the environment and promote the use of adequate management practices such as those outlined in the United Nations’ Sustainable Development Goals.
",annualVolume:11967,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/39.jpg",editor:{id:"137040",title:"Prof.",name:"Jose",middleName:null,surname:"Navarro-Pedreño",fullName:"Jose Navarro-Pedreño",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRAXrQAO/Profile_Picture_2022-03-09T15:50:19.jpg",institutionString:"Miguel Hernández University of Elche, Spain",institution:null},editorTwo:null,editorThree:null,editorialBoard:[{id:"177015",title:"Prof.",name:"Elke Jurandy",middleName:null,surname:"Bran Nogueira Cardoso",fullName:"Elke Jurandy Bran Nogueira Cardoso",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRGxzQAG/Profile_Picture_2022-03-25T08:32:33.jpg",institutionString:"Universidade de São Paulo, Brazil",institution:null},{id:"211260",title:"Dr.",name:"Sandra",middleName:null,surname:"Ricart",fullName:"Sandra Ricart",profilePictureURL:"https://mts.intechopen.com/storage/users/211260/images/system/211260.jpeg",institutionString:null,institution:{name:"University of Alicante",institutionURL:null,country:{name:"Spain"}}}]},{id:"40",title:"Ecosystems and Biodiversity",keywords:"Ecosystems, Biodiversity, Fauna, Taxonomy, Invasive species, Destruction of habitats, Overexploitation of natural resources, Pollution, Global warming, Conservation of natural spaces, Bioremediation",scope:"
\r\n\tIn general, the harsher the environmental conditions in an ecosystem, the lower the biodiversity. Changes in the environment caused by human activity accelerate the impoverishment of biodiversity.
\r\n
\r\n\tBiodiversity refers to “the variability of living organisms from any source, including terrestrial, marine and other aquatic ecosystems and the ecological complexes of which they are part; it includes diversity within each species, between species, and that of ecosystems”.
\r\n
\r\n\tBiodiversity provides food security and constitutes a gene pool for biotechnology, especially in the field of agriculture and medicine, and promotes the development of ecotourism.
\r\n
\r\n\tCurrently, biologists admit that we are witnessing the first phases of the seventh mass extinction caused by human intervention. It is estimated that the current rate of extinction is between a hundred and a thousand times faster than it was when man first appeared. The disappearance of species is caused not only by an accelerated rate of extinction, but also by a decrease in the rate of emergence of new species as human activities degrade the natural environment. The conservation of biological diversity is "a common concern of humanity" and an integral part of the development process. Its objectives are “the conservation of biological diversity, the sustainable use of its components, and the fair and equitable sharing of the benefits resulting from the use of genetic resources”.
\r\n
\r\n\tThe following are the main causes of biodiversity loss:
\r\n
\r\n\t• The destruction of natural habitats to expand urban and agricultural areas and to obtain timber, minerals and other natural resources.
\r\n
\r\n\t• The introduction of alien species into a habitat, whether intentionally or unintentionally which has an impact on the fauna and flora of the area, and as a result, they are reduced or become extinct.
\r\n
\r\n\t• Pollution from industrial and agricultural products, which devastate the fauna and flora, especially those in fresh water.
\r\n
\r\n\t• Global warming, which is seen as a threat to biological diversity, and will become increasingly important in the future.
",annualVolume:11968,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/40.jpg",editor:{id:"209149",title:"Prof.",name:"Salustiano",middleName:null,surname:"Mato",fullName:"Salustiano Mato",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRLREQA4/Profile_Picture_2022-03-31T10:23:50.png",institutionString:null,institution:{name:"University of Vigo",institutionURL:null,country:{name:"Spain"}}},editorTwo:{id:"60498",title:"Prof.",name:"Josefina",middleName:null,surname:"Garrido",fullName:"Josefina Garrido",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRj1VQAS/Profile_Picture_2022-03-31T10:06:51.jpg",institutionString:null,institution:{name:"University of Vigo",institutionURL:null,country:{name:"Spain"}}},editorThree:{id:"464288",title:"Dr.",name:"Francisco",middleName:null,surname:"Ramil",fullName:"Francisco Ramil",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y00003RI7lHQAT/Profile_Picture_2022-03-31T10:15:35.png",institutionString:null,institution:{name:"University of Vigo",institutionURL:null,country:{name:"Spain"}}},editorialBoard:[{id:"220987",title:"Dr.",name:"António",middleName:"Onofre",surname:"Soares",fullName:"António Soares",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRNtzQAG/Profile_Picture_1644499672340",institutionString:null,institution:{name:"University of the Azores",institutionURL:null,country:{name:"Portugal"}}}]},{id:"41",title:"Water Science",keywords:"Water, Water resources, Freshwater, Hydrological processes, Utilization, Protection",scope:"
\r\n\tWater is not only a crucial substance needed for biological life on Earth, but it is also a basic requirement for the existence and development of the human society. Owing to the importance of water to life on Earth, early researchers conducted numerous studies and analyses on the liquid form of water from the perspectives of chemistry, physics, earth science, and biology, and concluded that Earth is a "water polo". Water covers approximately 71% of Earth's surface. However, 97.2% of this water is seawater, 21.5% is icebergs and glaciers, and only 0.65% is freshwater that can be used directly by humans. As a result, the amount of water reserves available for human consumption is limited. The development, utilization, and protection of freshwater resources has become the focus of water science research for the continued improvement of human livelihoods and society.
\r\n
\r\n\tWater exists as solid, liquid, and gas within Earth’s atmosphere, lithosphere, and biosphere. Liquid water is used for a variety of purposes besides drinking, including power generation, ecology, landscaping, and shipping. Because water is involved in various environmental hydrological processes as well as numerous aspects of the economy and human society, the study of various phenomena in the hydrosphere, the laws governing their occurrence and development, the relationship between the hydrosphere and other spheres of Earth, and the relationship between water and social development, are all part of water science. Knowledge systems for water science are improving continuously. Water science has become a specialized field concerned with the identification of its physical, chemical, and biological properties. In addition, it reveals the laws of water distribution, movement, and circulation, and proposes methods and tools for water development, utilization, planning, management, and protection. Currently, the field of water science covers research related to topics such as hydrology, water resources and water environment. It also includes research on water related issues such as safety, engineering, economy, law, culture, information, and education.
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