\\n\\n
Released this past November, the list is based on data collected from the Web of Science and highlights some of the world’s most influential scientific minds by naming the researchers whose publications over the previous decade have included a high number of Highly Cited Papers placing them among the top 1% most-cited.
\\n\\nWe wish to congratulate all of the researchers named and especially our authors on this amazing accomplishment! We are happy and proud to share in their success!
Note: Edited in March 2021
\\n"}]',published:!0,mainMedia:{caption:"Highly Cited",originalUrl:"/media/original/117"}},components:[{type:"htmlEditorComponent",content:'IntechOpen is proud to announce that 191 of our authors have made the Clarivate™ Highly Cited Researchers List for 2020, ranking them among the top 1% most-cited.
\n\nThroughout the years, the list has named a total of 261 IntechOpen authors as Highly Cited. Of those researchers, 69 have been featured on the list multiple times.
\n\n\n\nReleased this past November, the list is based on data collected from the Web of Science and highlights some of the world’s most influential scientific minds by naming the researchers whose publications over the previous decade have included a high number of Highly Cited Papers placing them among the top 1% most-cited.
\n\nWe wish to congratulate all of the researchers named and especially our authors on this amazing accomplishment! We are happy and proud to share in their success!
Note: Edited in March 2021
\n'}],latestNews:[{slug:"intechopen-supports-asapbio-s-new-initiative-publish-your-reviews-20220729",title:"IntechOpen Supports ASAPbio’s New Initiative Publish Your Reviews"},{slug:"webinar-introduction-to-open-science-wednesday-18-may-1-pm-cest-20220518",title:"Webinar: Introduction to Open Science | Wednesday 18 May, 1 PM CEST"},{slug:"step-in-the-right-direction-intechopen-launches-a-portfolio-of-open-science-journals-20220414",title:"Step in the Right Direction: IntechOpen Launches a Portfolio of Open Science Journals"},{slug:"let-s-meet-at-london-book-fair-5-7-april-2022-olympia-london-20220321",title:"Let’s meet at London Book Fair, 5-7 April 2022, Olympia London"},{slug:"50-books-published-as-part-of-intechopen-and-knowledge-unlatched-ku-collaboration-20220316",title:"50 Books published as part of IntechOpen and Knowledge Unlatched (KU) Collaboration"},{slug:"intechopen-joins-the-united-nations-sustainable-development-goals-publishers-compact-20221702",title:"IntechOpen joins the United Nations Sustainable Development Goals Publishers Compact"},{slug:"intechopen-signs-exclusive-representation-agreement-with-lsr-libros-servicios-y-representaciones-s-a-de-c-v-20211123",title:"IntechOpen Signs Exclusive Representation Agreement with LSR Libros Servicios y Representaciones S.A. de C.V"},{slug:"intechopen-expands-partnership-with-research4life-20211110",title:"IntechOpen Expands Partnership with Research4Life"}]},book:{item:{type:"book",id:"584",leadTitle:null,fullTitle:"Advances in Applied Biotechnology",title:"Advances in Applied Biotechnology",subtitle:null,reviewType:"peer-reviewed",abstract:"Biotechnology is the scientific field of studying and applying the most efficient methods and techniques to get useful end-products for the human society by using viable micro-organisms, cells, and tissues of plants or animals, or even certain functional components of their organisms, that are grown in fully controlled conditions to maximize their specific metabolism inside fully automatic bioreactors. It is very important to make the specific difference between biotechnology as a distinct science of getting valuable products from molecules, cells or tissues of viable organisms, and any other applications of bioprocesses that are based on using the whole living plants or animals in different fields of human activities such as bioremediation, environmental protection, organic agriculture, or industrial exploitation of natural resources. The volume Advances in Applied Biotechnology is a scientific book containing recent advances of selected research works that are ongoing in certain biotechnological applications. Fourteen chapters divided in four sections related to the newest biotechnological achievements in environmental protection, medicine and health care, biopharmaceutical producing, molecular genetics, and tissue engineering are presented.",isbn:null,printIsbn:"978-953-307-820-5",pdfIsbn:"978-953-51-5176-0",doi:"10.5772/1096",price:119,priceEur:129,priceUsd:155,slug:"advances-in-applied-biotechnology",numberOfPages:290,isOpenForSubmission:!1,isInWos:null,isInBkci:!1,hash:"fcc9fab84b820983f2a462d5145d2a0e",bookSignature:"Marian Petre",publishedDate:"January 20th 2012",coverURL:"https://cdn.intechopen.com/books/images_new/584.jpg",numberOfDownloads:76139,numberOfWosCitations:136,numberOfCrossrefCitations:44,numberOfCrossrefCitationsByBook:4,numberOfDimensionsCitations:128,numberOfDimensionsCitationsByBook:7,hasAltmetrics:1,numberOfTotalCitations:308,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"February 22nd 2011",dateEndSecondStepPublish:"March 22nd 2011",dateEndThirdStepPublish:"July 27th 2011",dateEndFourthStepPublish:"August 26th 2011",dateEndFifthStepPublish:"December 24th 2011",currentStepOfPublishingProcess:5,indexedIn:"1,2,3,4,5,6",editedByType:"Edited by",kuFlag:!1,featuredMarkup:null,editors:[{id:"74654",title:"Prof.",name:"Marian",middleName:null,surname:"Petre",slug:"marian-petre",fullName:"Marian Petre",profilePictureURL:"https://mts.intechopen.com/storage/users/74654/images/1267_n.jpg",biography:"Professor Marian Petre, Bachelor in Science and Ph.D. in Biological Sciences, graduated Faculty of Biology at Bucharest University in 1981. He worked as microbiologist at National Institute of R & D in Floriculture (1982-1984), as research assistant and, then as principal investigator at R & D Institute for Vegetables and Fruits Processing (1984-1994), Research Centre for Ecological Technologies (1994-1998), National Institute of R & D in Biological Sciences (1998-2000). Since 2000, he became lecturer at the Ecological University of Bucharest (2000-2004) and from 2004 to 2007 he worked as senior researcher at National Institute for R & D in Horticultural Biotechnology Stefanesti-Arges. Since 2007, he is teaching as professor of biotechnology for environmental protection, microbiology and bioremediation at the University of Pitesti, Faculty of Sciences, Department of Natural Sciences. So far, he wrote and published over 140 papers, 50 of them being published in international journals and proceeding volumes all over the world. During the last decade, he registered as first author 10 Romanian patents in the field of biotechnology for edible and medicinal mushroom cultivation and he has been awarded with gold and silver medals at international exhibitions for inventions, research and new technologies in Brussels, Geneva and SuZhou (China). He wrote 10 books published in Romania and 2 book chapters published by Marcel Dekker and Kluwer Academic Publishers. He was invited as chairman of five international congresses, conferences and symposia as well as member of the scientific committee of international conference on mushroom biology and mushroom products. 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\r\n\r\n\tThe book intends to revisit some of the typical prison problems (e.g., overcrowding, violence, mental health, drugs, sexuality, suicide, etc) in light of recent research, also providing international indicators of how recidivism is influenced by the way governments change their penal laws. The efficacy of correctional treatment programs and community-based programs on offenders’ recidivism rates will be also discussed. Studies concerning specific groups of the prison population – female prisoners, young prisoners, lifers, but also guards, and other staff members – will be considered to allow the implementation of tailored interventions.
\r\n\r\n\tFinally, the discussion about the future of the prison system and the alternatives related to community sentences or other diversion strategies will be considered, in light of corrections’ sustainability and under the therapeutic justice paradigm.
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This is performed by reducing the thickness of the smaller band gap material (the active region) in the heterostructure to the scale of the deBroglie wavelength of the carrier (~ few nanometers). This results in a quantum well (QW) structure. Reducing the size of another dimension results in a quantum wire (QWi) structure. Further reduction of the remaining dimension results in a quantum dot (QD) structure where all dimensions are quantized. However, for about a quarter of century, lasers using structures with carrier confinement in two (“quantum wire”) or all in three (“quantum dot”) directions appear to lack practical realization compared to so-called QW lasers, where quantum confinement of carriers occurs in one dimension.
The most important advantage of using size-quantized heterostructures in lasers originates from the increase in the density of states for charge carriers near band edges. When used as an active layer for the laser, this focuses most of the injected carriers in an increasingly narrow energy range near the bottom of the conduction band and/or the peak of the valence band. This enhances the maximum material gain (assuming the same homogeneous or inhomogeneous broadening as in bulk lasers) and reduces the influence of temperature on device performance making it less temperature dependent. This also makes further reduction in the threshold current. The electronic states in a QD are spatially localized and the energy is fully quantized, similar to a single atom [1]. So, the system is more stable against any thermal perturbation. In addition, due to the quantization, the probability becomes higher for optical transitions. Also, the electron localization may radically reduce the scattering of electrons by bulk defects and reduce the rate of non-radiative recombination. These properties, among the others, are directly related with the high thermal stability and the high quantum efficiency of QD lasers, and they are of great importance in terms of device applications.
From a dynamical behavior systems’ point of view, semiconductor lasers are characterized by a time scale separation between the fast-slow systems, that is, fast photon and the slower carrier subsystem [2]. As a result, their turn-on dynamics shows damped nonlinear intensity oscillations, which are called relaxation oscillations. The damping of relaxation oscillations is a key point in order to understand the stability properties of the laser subject to external perturbations, for example, optical injection or optical feedback. QW laser shows obvious, weakly damped relaxation oscillations, while the relaxation oscillations of QD lasers are strongly damped [3]. As a result, QD lasers under optical injection display a higher dynamical stability [4] and optical feedback [5]. In QD devices, the carriers are first injected into a surrounding QW acting as a carrier reservoir, before they scatter into the discrete energy levels of the QDs, between which the optical transition takes place. The scattering rates of carrier strongly depend on the energy spacing between the band gap of the QW and the discrete QD levels, that is, on the band structure of the device. The scattering rates provide lifetimes of the nonlinear carriers in the QD levels, which yield additional time scales compared to QW lasers. The discrete energy levels determine how these time scales compare to the carrier lifetimes in the carrier reservoir and the photon lifetime. For a small energy spacing as example, short lifetimes (large scattering rates) are obtained, which are on the same time scale or shorter than the photon lifetime yielding over-damped, very stable system, which work similar to gas lasers, i.e., typical class A of lasers. For high level of energy, long carrier lifetimes are obtained, which guarantee an apparent time-scale separation between the carrier and the photon system (time-scale of femtoseconds) resulting in weakly damped, less stable lasers, whose dynamics is similar to conventional QW lasers, that is, typical class B lasers. QD lasers dynamics lie between these two limiting cases and show typical dynamical features of class B and class A lasers [3].
A characteristic of semiconductor lasers is its high sensitivity to external optical disturbances due to the relatively low reflection of its facets [4]. On the one hand, this may be a disadvantage, because in optical applications, expensive isolators are needed to ensure a stable constant wave (CW) emission of lasers. Conversely, the basic physics of the views, the laser semiconductor display, subject to optical injection or optical feedback, a wealth of different dynamic systems ranging from stable cw emissions, with period behavior intensity modulations, to chaotic behavior [5].
Numerous applications arise from optical injection ranging from noise reduction [6], over a reduction of relative intensity noise [7], the strengthening side-mode suppression [8], to a larger bandwidth under direct optical alteration [9], and the generation of microwave signals [10].
Furthermore, the semiconductor lasers subject to delayed optical feedback are the ideal candidates to study the stabilization of steady states and limit cyclical orbits due to the control of nongaseous delayed feedback [10].
Moreover, delay synchronization of coupled lasers, bubbling in coupled lasers, and networks of delay coupled lasers [11] are subject of current research.
Currently, nonlinear laser dynamics is a field that continues to grow from active research, and this chapter focuses and reviews recent developments in this area with the approach of a new dimensional model. In a multipronged approach, it will also focus on mathematical and physical aspects. By discussing problems such as exploiting the chaotic laser for secure communications, using the QD laser applications, it will introduce innovative foundations and hope to inspire future research on the subject. Nowadays, self-organized semiconductor quantum dot (QD) lasers are promising candidates for telecommunication applications [1]. For an introduction to QD-based devices, their growth process, and their optical properties see, for example, [2].
This chapter focuses on the modeling of these QD laser devices and on the discussion of their dynamic properties. Since QD semiconductor materials have a discrete energy sub-bands, one could expect symmetric emission lines, and then the subject of great current interest is a sensitivity of QD semiconductor lasers to optical feedback.
Chaotic synchronization has attracted more interest because of its potential applications in the field of private communication and for the control of chaos in different dynamical systems [1]. Starting in 1990 and following the development of the theory of deterministic chaos synchronization, synchronization was extended to the case of interacting chaotic oscillators [2, 3, 4, 5]. Since the definition of chaos involves a quick relationship to decorate the nearby orbits due to their high sensitivity in initial conditions, the synchronization of two associated chaos systems is a fairly intuitive antiretroviral phenomenon. An examination of synchronization phenomena in quantum dot (QD) laser chaotic has been a topic of increasing interest since the past few years [6] because of sensitive to external perturbation as optical feedback, and these materials have discrete transitions of energy, with expected symmetric emission lines and therefore a low linewidth enhancement factor. This has motivated many studies, with expected benefits including elimination of lasers.
Recently, various methods such as occasional coupling [2, 3], unidirectional coupling [7], and bidirectional coupling [8] with optical feedback [9] have been shown to induce chaos and achieve chaotic synchronization in laser systems. There are different methods for detecting different types of synchronization. Complete synchronization can be identified by drawing a driver component against the responder component while the stage synchronization can be defined by the average frequency [7].
Here, to check for a complete synchronization in both unidirectional and bidirectional, corresponding to this diversity of concepts and complete methods, all the synchronization detection has many different approaches suggested with the aim of quantifying the degree of synchronization between two systems on a continuous scale. These approaches consist of such linear, cross-correlation or time-series tracking as well as nonlinear measures mainly such as bifurcation diagrams.
The remaining chapter is organized as follows: Before we perform any numerical bifurcation studies, we introduce the QD laser model with external optical feedback in Section 2. Section 3 is devoted to the study of the full delay differential equation for the representative value of the frequency of the solitary laser
In this section, we consider two semiconductor QD lasers that are delay-coupled to each other with a coupling delay and additionally receive self-feedback with the same delay time
where
where the dot denotes derivation with respect to time,
Schematic diagram of two chaotic systems of QD laser with optical feedback object. (a) Unidirectional coupling system. (b) Bidirectional coupling system: (1) transmitter QD laser and (2) receiver QD laser. (c) Schematic energy band diagram of QW and QD. ΔEe and ΔEh denote the energy spacing of the QW band edge and the QD ground state (GS) for electrons and holes.
A QD semiconductor laser display is just one of many examples that interact between many nonlinear similar systems that can lead to a variety of rich emerging behaviors [10]. Neurons, chemical oscillations, or Josephson intersections are other representative cases of nonlinear dynamics that have attracted the attention of researchers from special fields. But, quite astonishingly, only lately has the effects of limited rapid use of signals in the interaction and coupling of several of these systems taken into account.
In this chapter, we accurately focus on the effect of these mismatching strength and delay times, which constitute a rich basis of instabilities, on the dynamics and synchronization of semiconductor QDs laser systems.
In the past work, we emphasized that the QD semiconductors are the ideal candidates for exploring the behavior of nonlinear systems when combined or susceptible to external disturbances [11]. In addition to nonlinear joints in this type of device, it can be well characterized and controlled in experiments, rather than most biologically oriented systems. Besides their inherent nonlinearity, these types of devices can be well characterized and controlled in experiments, as opposed to most of biologically oriented systems. Since then, different configurations of QD semiconductors have been theoretically investigated. The optical interaction of QD-LED has been mostly studied in a single device subject to feedback [12, 13, 14].
In a bidirectional optical coupling section, dynamical properties of two semiconductor QD lasers subject to a bidirectional optical coupling are studied. The organization of work in two parts is separated in order to approach separately the cases in which each laser (in addition to the reciprocal function) is subject to self-nourishment or not. First, we start by investigating the coupling of the two chaotic systems in the presence of self-feedback. Unless explicitly mentioned, a symmetric configuration is chosen for the feedback lines (
Figure 2 shows coupling without self-feedback case, here, we consider the situation in which the self-feedback is zero (
Bifurcation for bidirectional two coupling systems without self-feedback. (a)
In Figure 2(a) and (b), we plot a path and indicate the stability of coupling systems as a coupling strength function. Figure 2 is generated by assuming a small time delay of the coupling so that we promise that no Hopf bifurcation can influence as we will show in the other case. The way to the previous virtual contradiction depends on appreciating that merely at the critical coupling for the system stationary conditions. Eqs. (1a)–(1e) allow for an additional solution consisting of a continuum of steady-states, it is found to connect the two systems at [
Once the dynamics of our mutually coupled configuration have been characterized in coupling with self-feedback case, we can now approach the different effects and questions raised by the addition of self-feedback to each one of the QD lasers. Thus in the second part of this work, in Figure 3(a) and (b), we are investigating the disturbances caused by the delayed reaction between two of the self-oscillation of QD laser. Given the inclusion of feedback loops, we can control the dynamics of the unescorted laser valve between the constant, oscillation, pulsating, and chaotic behavior so that we can investigate the impact of delays on different system synchronization properties. Other dynamic phenomena such as phase synchronization are reviewed.
Bifurcation for bidirectional two coupling chaotic systems with self-feedback objected. (a)
We now examine the dynamical properties of two semiconductor QD lasers subject to a unidirectional optical coupling. The approach of this cases where two chaotic systems in the presence of self-feedback (
Bifurcation for unidirectional two coupling systems with self-feedback objected. (a)
In what follows, we pay attention to the investigation on different approaches for achieving synchronization between coupling systems. The synchronization of both lasers is studied here for three different situations. For identical QD lasers, we first consider the case of bidirectional coupled chaotic oscillators, and secondly, we address the synchronization of unidirectional chaotic oscillators. Finally, we study the unidirectional coupling systems without feedback operation of the receiver laser. The different types of synchronization are characterized by two figures of merit, namely, the correlation degree between amplitudes and the relative time series of the oscillations.
Figure 5 shows chaos synchronization in a bidirectional system at conditions
Chaos synchronization in a bidirectional system. (a) Two chaotic systems output amplitude signal, transmitter (black point-line) at active delay optical feedback
Figure 6 shows chaos synchronization in a unidirectional system. Figure 6(a) shows generalized chaos synchronization at coupling strength (
Chaos synchronization in a unidirectional system. (a) Two chaotic systems output amplitude signal, transmitter (black point-line) at active delay optical feedback
Figure 7 shows unidirectional coupling systems without feedback operation of the receiver laser. Chaos synchronization follows feedback strength of transmitter shown in Figure 7(a–d) when coupling strength is projected.
Chaos synchronization in a unidirectional system. Two chaotic systems output amplitude signal, transmitter (black point-line) at active delay optical feedback
This chapter is concerned with the problem of chaos synchronization estimation in a new semiconductor quantum dot laser dimensionless model. The need to know effect of parameters in our model with coupling case at different approach of chaos synchronization occurs throughout the development of bifurcation diagrams, which reduced dynamics of model. The approach presented here builds on the existing work that uses synchronization as a tool for parameter estimation. Some important issues of chaos synchronization are addressed in this chapter. The central issue is the choice of coupling strength between the systems, which is considered through bifurcations depending on coupling kind.
The field equation is defined as a complex stochastic differential equation. The aim is to transform the complex stochastic differential equation form field equation (
In our approach, the carrier-light interaction is summarized in the photon density
where
Dental caries is considered one of the most common chronic diseases affecting the global population [1]. An important aspect associated to dental caries is the potential serious consequences upon the general health of the individuals [2]. Previous studies stated the fact that oral bacteria can spread and determine various systemic health implications, being responsible for secondary infections of different organs [2]. Multiple research studies discuss the involvement of persistent oral bacteria, due to an inadequate oral hygiene, specific dental procedures or periodontitis in the initiation of endocarditis [3]. The oral environment can be influenced, as well, by the general health status and treatments with a direct impact upon the oral microbiota balance, the salivary flow, and pH. A high interest has been shown in identifying the composition, properties, and implications of the oral microbiome and its consequences upon the salivary pH, oral pathologies, and systemic diseases. The prevalence of dental caries is still characterized by high values despite the prevention measures applied worldwide. Its incidence continues to increase dramatically once the risk habits prevalence in the developing countries changes. However, it has been reported that a small percentage of young adults can still be characterized as being caries-free. Unfortunately, the efforts to identify risk populations by using a screening method had no significant result [4].
The etiology and the pathogenesis of dental caries are being considered complex multifactorial processes [5]. An important role is assigned to saliva, its rate and composition being most important in the initiation and progression of the cariogenic process. Being the body fluid, which is in permanent contact with the teeth and soft oral tissues, it is held responsible for their integrity and for the permanent remineralization of the dental structures, as well. The quantity of the salivary flow, the characteristics of saliva, and its buffer capacity are involved in maintaining a proper balance of the oral environment. Any alterations of these characteristics can influence the demineralization process and are consequently responsible for the development of caries. The salivary components may have a substantial implication in the reduction of the risk factors involved in dental caries incidence [5].
The factors associated with occurrence of dental caries are the host (the presence of teeth and saliva), the oral microbiome (the bacterial population), and the dietary habits (based on carbohydrates). Basically, all these factors contribute and conduct to the development of the disease. Caries is characterized by a progressive evolution, being reversible in early stages, and suggesting that the abovementioned factors must have a cumulative action for a certain period of time. Dental caries is the result of the interaction between the oral microbiome accumulated on teeth’s surface (dental plaque) with the fermentable sugars form the diet, with consequences upon the buffering capacity of the saliva, lowering its pH, and weakening the normal remineralization process [6].
The demineralization and remineralization cycles of the enamel, under the action of the cariogenic bacteria from the dental plaque, are quite frequent mechanisms that occur in the oral cavity, episodically. Enamel has a unique structure, without any organic components that could contribute to its repair or defense against a potential cariogenic attempt. In the early stages of the demineralization process, the action of saliva combined with the mechanical removal of the dental plaque and application of topic fluorides may stop and reverse the process.
An accurate evaluation of the dental caries risk should take in consideration the implication of saliva in the process. The use of a salivary test in the assessment of the individual risk may have an impact upon the prevention strategies, screening, and early diagnosis of dental caries, making a difference in the incidence statistics of dental caries [6].
The oral cavity and the teeth are permanently exposed to the action of saliva [7]. The oral fluid is the result of the secretion of multiple salivary glands: the parotid, submandibular, sublingual, and the minor salivary glands localized in multiple areas of the oral mucosa. Free epithelial cells, bacteria, crevicular fluid, inflammatory cells, and food particles are among the components of saliva. The implications of saliva and its functions contribute to the maintenance of the oral health [8]. One of its main roles is hydrating and lubrication of the surrounding tissues. The submandibular, parotid, sublingual, and minor salivary glands contribute with 60, 25, 8, and 7%, respectively, to the whole saliva amount, when in unstimulated state. In case of salivary flow stimulation, their secretion increases with at least 10% [9]. The salivary flow varies from 0.3 ml/min up to 1.5–2.0 ml/min, depending of the state: stimulation period or rest. There are circadian variations involved, as well, during the day 0.5 liter of saliva is secreted, compared with night when the flow rate is highly decreased [9].
Saliva and its actions are dependent on its quantity and quality. Being in permanent contact with the oral tissues, it has influence on actions such as speaking, swallowing, and eating, protecting the mucosa and the surface of the teeth. The protective role of the saliva is supported by a proper viscosity, flow rate, balanced composition, pH, and buffer function [10]. Any alterations of these characteristics may result in developing oral pathologies such as dental caries (Figure 1).
Roles and functions of the saliva.
To date, research has focused on identifying the relationship between the characteristics of saliva and the incidence of dental caries. Several studies reported that there was a connection between the viscosity of saliva and the development of dental caries [8]. The high cariogenic activity due to the alteration of the salivary characteristics could be explained by a reduced flow rate, a decreased clearance and buffer capacity, and a high glucose concentration. It has been shown that the salivary flow rate was significantly lower in individuals with active caries compared with caries-free ones [11]. The buffer capacity and the pH values have direct consequences upon the salivary flow rate and viscosity [10].
The composition and flow rate of saliva vary in relation with different factors, such as stimulation or rest periods [10]. In the rest periods, the salivary flow rate represents ¼ out of the total stimulated flow potential. During the stimulated flow, the composition and pH of the saliva change, a more serious saliva consistency facilitates the digestive process and increases the clearance function [12]. The immune surveillance role of the saliva is due to immunoglobulins, secreted by the plasma cells of the lymphoid tissue belonging to the major salivary glands. The epithelial cells localized in the salivary acini produce proteins with a protective role against bacteria and viruses.
Because of its complex composition, saliva has multiple actions in the oral environment. In vitro studies, focused on the interaction between the cariogenic microorganisms in the dental plaque and the salivary proteins, suggest that interleukins, lysozyme, mucins, and lactotransferrin contribute to the cell aggregation, inhibition action, and adherence of the bacteria, suggesting that the salivary proteins may have a diagnostic potential, allowing the development of personalized treatments [13, 14].
Dental caries is represented by a localized demineralization with progressive loss of the tooth components. The healthy oral environment is in symbiosis with the oral microbiome, in case of a neutral pH value. The bacteria from the oral biofilm are responsible for metabolizing the carbohydrates and producing permanent organic acid products, which are able to lower the pH, with effects upon the tooth composition and biofilm [15]. A long-time persistence of a lower pH value influences the bacterial population of the biofilm, producing a shift in the oral microbiome and promoting the acidogenic bacteria [16]. These changes will eventually have repercussions upon the oral environment by the acidification process. A low pH value will result in the extraction of phosphate and calcium from the tooth structures, in order to attempt to equilibrate the acid environment, determining their demineralization. These types of actions take place several times per day and are being influenced by numerous other mechanisms and factors such as oral hygiene, diet, oral microbiome diversity, genetics, dental anatomy, biofilm, salivary flow, buffer capacity, and composition (Figure 2).
The contribution of the pathological and protective factors.
Saliva has an important role in maintaining a healthy oral environment and proper digestion, and its alterations can be the cause of multiple diseases, including dental caries.
The buffer capacity of saliva plays an important role in mediating the relationship between the tooth surface and the biofilm, normally exhibiting a protective role against the development of dental caries [17]. This specific characteristic of saliva is represented by the concentration of the bicarbonate ion. The buffer capacity may be quantified and assessed, in case of active-caries individuals, by a titration method, from salivary samples. The implications of the buffer action rely on reducing the acid formation in the dental biofilm. In case of a pathogenic action, the neutralization of an acidic pH environment, and shifting it into a neutral one, has proven to be quite difficult [18].
The composition of saliva has an important contribution in maintaining and increasing the value of the pH biofilm. Among its main constituents, which efficiently determine the pH to increase are sialin (that contains arginine and lysine) and urea. Further hydrolyzation of each of these molecules results in releasing ammonia, with a direct contribution in increasing the pH.
In order to maintain the oral health and the integrity of the tooth surface, the pH value should be kept around the value of 6.7. The ion concentration and activity are responsible for demineralization and remineralization processes through the solubility of hydroxyapatite [19]. A decreased and critical pH value is considered at a value of/under 5.5.
The pH value is directly related to the concentration of the phosphate and calcium ions. Salivary flow and its variations have consequences upon the pH value, by exhibiting different concentrations of calcium and phosphate. It has been reported that the pH value can be increased by one unit only through stimulating the salivary flow rate. Differences between the unstimulated and stimulated saliva have been identified, as the unstimulated saliva has a lower pH value compared with the stimulated one, due to its higher concentration in phosphate [20]. The critical pH value presents individual variations, as the salivary concentrations of calcium and phosphate vary from one person to another. It should also be mentioned that the critical pH fluctuations are dependent on multiple factors [21].
Saliva has three buffering systems, which are represented by phosphate, bicarbonate, and protein systems. The major system being considered is the acid/bicarbonate one, present in the stimulated salivary secretion. Its action starts with food intake, by decreasing the pH value and increasing the concentration of bicarbonate. The phosphate buffer system and its effectiveness are dependent on the salivary concentration of the phosphate ion and have been reported to have a moderate action in case of unstimulated saliva [22]. The salivary proteins represent another buffer system, through their action of absorbing and releasing protons. Their action may result in increasing the saliva viscosity when the pH value is low, protecting the tooth structure from acid production, by exhibiting a physical barrier [20].
The pH value during rest periods has been reported to have the ability to predict the caries status of the patient and outline the buffering capacity of the saliva. Patients with resting salivary pH value of approximately 7.0 have been reported to have a lower caries activity compared with those with pH values of 5.5, who exhibited a high caries incidence. In individuals with pH values between 5.5 and 7.0, the caries incidence was less severe. A lower value of a resting pH suggests a lower pH value when exposed to carbohydrates, with a prolonged maintenance of this lower value, until returning to the resting pH [8]. These facts suggest that the changes during a lower pH value result in exposing the tooth structure to an acidic environment, for a longer period of time, without the possibility of neutralizing it.
The presence of dental caries influences the carbohydrate clearance, resulting in a prolonged contact with the dental plaque and a continuous decrease of the salivary pH value [11]. The presence of dental caries and alteration of the oral environment promote the production of acid, supplementary bacterial adhesion, and low salivary clearance activity. A previous published study concluded that the salivary flow rate, the buffer capacity, and pH value were decreased in active-caries children compared with the caries-free group [23].
The implication of the salivary pH in the multiplication and survival of oral microorganisms is an important aspect in the etiology of dental caries. In case of a low pH, the acidophilic microorganisms will multiply, considerably increasing the caries risk [24]. A high incidence of dental caries, dysphagia, and other oral pathologies has been linked to a decreased salivary flow, clearance, and buffer capacity. Special attention should be paid to the patients with decreased saliva secretion, with repercussions upon the oral mucosa, upon the viscosity and buffer capacity, favoring the development of opportunistic infections and increasing the risk of dental caries [25].
The oral cavity and the salivary composition and characteristics may be defined as the mirror of the general health status. Saliva represents the first body fluid, which comes in contact with multiple pathogens, being responsible for their neutralization, and for the homeostasis of the oral environment. Recent studies have revealed the importance of assessing the levels of salivary antioxidants and reactive oxygen species, which have a high implication in the incidence of dental caries.
A clinical study conducted on children diagnosed with iron deficiency anemia revealed its impact upon the salivary pH value and buffer capacity. By collecting unstimulated saliva and serum samples from the patients, before and after treatment, the salivary buffer capacity and pH values have been quantified. The serum ferritin levels were measured, in order to outline their role as dental caries and iron deficiency anemia biomarkers. The results showed that 3 months after treatment, the buffering capacity and the salivary pH have increased, suggesting a direct implication of the iron deficiency anemia in altering the salivary functions with secondary implications in the cariogenic activity [26].
The salivary dysfunction related to primary Sjögren’s syndrome may be the cause of multiple oral manifestations. The results of several studies discuss the fact that patients diagnosed with primary Sjögren’s syndrome have a high incidence of dental caries, exhibiting mostly cervical carious lesions, despite an acceptable oral hygiene status [27]. Several salivary factors that have been encountered in primary Sjögren’s syndrome patients have been linked to the high incidence of caries. The main problem related to this pathology is the influence upon the saliva formation, patients experiencing a decreased salivary flow rate, and an alteration in the salivary composition, due to the presence of focal lymphocytic infiltrate in the salivary glands. Pedersen et al. [28] conducted a study that aimed to identify and evaluate the salivary flow and composition and the incidence of dental caries in patients diagnosed with primary Sjögren’s syndrome. The results showed that the included patients exhibited a decreased salivary flow rate, and the pH and bicarbonate concentration of the parotid gland’s saliva were significantly decreased compared with the control group. Although patients had accurate oral hygiene habits and reported using dental floss and fluoride toothpaste, the caries incidence and gingival index were high. These patients also had a higher number of acidophilic, cariogenic bacteria in the dental plaque compared with the control group, and a relationship between the decreased salivary flow and the high incidence of Lactobacillus has been observed. Among all the oral manifestations, oral dryness and a reduced salivary flow rate were the main accuses of the patients [29].
A decreased salivary flow has been reported in diabetic patients, the incidence of type I diabetes among young patients may have repercussions on the oral health, especially teeth integrity. The association between dental caries and diabetes has been one of the most researched subjects. As type I diabetes is associated with the critical years of dental eruption, the attention in identifying its potential implication on the dental status has been considered a necessity. Studies have reported a high incidence of dental caries, dry mouth (xerostomia), and gingival inflammation in young patients diagnosed with type I diabetes compared with healthy ones. One of the main causes that could explain this outcome, besides a poor oral hygiene, could be the decreased salivary flow rate and alteration of the composition of saliva. Elevated glucose concentration has been identified in the saliva, sustaining an acidogenic oral environment and the colonization of bacteria. All these changes in the flow rate, salivary composition, and an inadequate oral hygiene influence the incidence of dental caries [29]. Studies including patients with type I diabetes showed that the salivary flow and pH value were significantly reduced compared with the control group, the prevalence and severity of dental caries in type I diabetes being a high one [29].
High incidence of dental caries, mucositis, and inflammation has been identified in acute lymphoblastic leukemia. The main changes are related to the compromised immune system, influencing the oral environment as well. Hegde et al. [30] conducted a study focusing on the implication of acute lymphoblastic leukemia on the oral health and dental status. They aimed to identify the direct action of the disease, as well as the influence of chemotherapy on the salivary flow and dental caries incidence. The study included patients divided into four groups (without chemotherapy, at the beginning of chemotherapy treatment, after 4 weeks of chemotherapy, and a control group). The results showed that all three groups with acute lymphoblastic leukemia experienced a low salivary flow rate and pH values compared with the control group. The antioxidant salivary levels were increased in the first two groups and decreased in the third group of leukemia patients. Poor oral hygiene and gingival inflammation were reported in all leukemia patients, and the incidence of dental caries was a high one. The influence of chemotherapy on the salivary flow through the hypoplasia of the salivary glands is a common consequence of this treatment. Another cause for the poor dental health status, besides the abovementioned salivary changes, could be the discomfort caused by the inflammation of the oral mucosa that reduces the possibility of maintaining a proper oral hygiene [30].
The role of saliva in the diagnosis of multiple diseases through its composition and actions is currently accepted. The salivary secretion is controlled by a reflex arc influenced by multiple actions. For the salivary flow and composition, the parasympathetic and sympathetic systems are responsible. Multiple studies were conducted in identifying the stress-related consequence upon the saliva [31]. Results show an increase in the acidity levels of saliva in case of anxiety and a decrease of the salivary flow and pH value with consequences upon the tooth structure [31]. Said et al. [32] conducted a study, which aimed to identify the relationship between the anxiety levels and the changes encountered in the saliva. The results outline the existence of a low pH value in the study group, compared with the control group, revealing a higher prevalence among males with a low anxiety level. These alterations could be a further explanation for the prevalence of dental caries among these patients.
Systemic health plays an important role in maintaining an adequate oral environment. Changes specific to various diseases can directly influence the salivary production, composition, and functions, with influence on the prevalence of dental caries. Over the past years, research has opened a new path that includes the use of saliva for screening, diagnosis, and monitoring of multiple pathologies.
Among the numerous factors linked to the incidence of dental caries, the oral microorganisms and saliva are of most importance. The role of saliva cannot be underestimated, its composition revealing important information regarding the involvement of systemic and oral conditions. Research has focused on outlining the importance of the salivary functions and characteristics in the development of dental caries. Connections between the pH values and the prevalence of caries have been pointed out, the influence of local and general factors, as well as the impact of pH variations upon the tooth structure. An acidogenic oral environment results in an imbalanced demineralization and remineralization process, with a multiplying community of acidophilic bacteria. The key in the management of dental caries is addressing the causative factors, both general and local, and obtaining a neutral oral pH.
The authors declare no conflict of interest.
This is a brief overview of the main steps involved in publishing with IntechOpen Compacts, Monographs and Edited Books. Once you submit your proposal you will be appointed a Author Service Manager who will be your single point of contact and lead you through all the described steps below.
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\n\nPlease complete the publishing proposal form. The completed form should serve as an overview of your future Compacts, Monograph or Edited Book. Once submitted, your publishing proposal will be sent for evaluation, and a notice of acceptance or rejection will be sent within 10 to 30 working days from the date of submission.
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He has also designed medical devices, including a laser Doppler monitoring system.",institutionString:"Kaiser Permanente Southern California",institution:null},{id:"169608",title:"Prof.",name:"Marian",middleName:null,surname:"Găiceanu",slug:"marian-gaiceanu",fullName:"Marian Găiceanu",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/169608/images/system/169608.png",biography:"Prof. Dr. Marian Gaiceanu graduated from the Naval and Electrical Engineering Faculty, Dunarea de Jos University of Galati, Romania, in 1997. He received a Ph.D. (Magna Cum Laude) in Electrical Engineering in 2002. Since 2017, Dr. Gaiceanu has been a Ph.D. supervisor for students in Electrical Engineering. He has been employed at Dunarea de Jos University of Galati since 1996, where he is currently a professor. Dr. Gaiceanu is a member of the National Council for Attesting Titles, Diplomas and Certificates, an expert of the Executive Agency for Higher Education, Research Funding, and a member of the Senate of the Dunarea de Jos University of Galati. He has been the head of the Integrated Energy Conversion Systems and Advanced Control of Complex Processes Research Center, Romania, since 2016. He has conducted several projects in power converter systems for electrical drives, power quality, PEM and SOFC fuel cell power converters for utilities, electric vehicles, and marine applications with the Department of Regulation and Control, SIEI S.pA. (2002–2004) and the Polytechnic University of Turin, Italy (2002–2004, 2006–2007). He is a member of the Institute of Electrical and Electronics Engineers (IEEE) and cofounder-member of the IEEE Power Electronics Romanian Chapter. He is a guest editor at Energies and an academic book editor for IntechOpen. He is also a member of the editorial boards of the Journal of Electrical Engineering, Electronics, Control and Computer Science and Sustainability. Dr. Gaiceanu has been General Chairman of the IEEE International Symposium on Electrical and Electronics Engineering in the last six editions.",institutionString:'"Dunarea de Jos" University of Galati',institution:{name:'"Dunarea de Jos" University of Galati',country:{name:"Romania"}}},{id:"4519",title:"Prof.",name:"Jaydip",middleName:null,surname:"Sen",slug:"jaydip-sen",fullName:"Jaydip Sen",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/4519/images/system/4519.jpeg",biography:"Jaydip Sen is associated with Praxis Business School, Kolkata, India, as a professor in the Department of Data Science. His research areas include security and privacy issues in computing and communication, intrusion detection systems, machine learning, deep learning, and artificial intelligence in the financial domain. He has more than 200 publications in reputed international journals, refereed conference proceedings, and 20 book chapters in books published by internationally renowned publishing houses, such as Springer, CRC press, IGI Global, etc. Currently, he is serving on the editorial board of the prestigious journal Frontiers in Communications and Networks and in the technical program committees of a number of high-ranked international conferences organized by the IEEE, USA, and the ACM, USA. He has been listed among the top 2% of scientists in the world for the last three consecutive years, 2019 to 2021 as per studies conducted by the Stanford University, USA.",institutionString:"Praxis Business School",institution:null},{id:"320071",title:"Dr.",name:"Sidra",middleName:null,surname:"Mehtab",slug:"sidra-mehtab",fullName:"Sidra Mehtab",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y00002v6KHoQAM/Profile_Picture_1584512086360",biography:"Sidra Mehtab has completed her BS with honors in Physics from Calcutta University, India in 2018. She has done MS in Data Science and Analytics from Maulana Abul Kalam Azad University of Technology (MAKAUT), Kolkata, India in 2020. Her research areas include Econometrics, Time Series Analysis, Machine Learning, Deep Learning, Artificial Intelligence, and Computer and Network Security with a particular focus on Cyber Security Analytics. Ms. Mehtab has published seven papers in international conferences and one of her papers has been accepted for publication in a reputable international journal. She has won the best paper awards in two prestigious international conferences – BAICONF 2019, and ICADCML 2021, organized in the Indian Institute of Management, Bangalore, India in December 2019, and SOA University, Bhubaneswar, India in January 2021. Besides, Ms. Mehtab has also published two book chapters in two books. Seven of her book chapters will be published in a volume shortly in 2021 by Cambridge Scholars’ Press, UK. Currently, she is working as the joint editor of two edited volumes on Time Series Analysis and Forecasting to be published in the first half of 2021 by an international house. Currently, she is working as a Data Scientist with an MNC in Delhi, India.",institutionString:"NSHM College of Management and Technology",institution:{name:"Association for Computing Machinery",country:{name:"United States of America"}}},{id:"226240",title:"Dr.",name:"Andri Irfan",middleName:null,surname:"Rifai",slug:"andri-irfan-rifai",fullName:"Andri Irfan Rifai",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/226240/images/7412_n.jpg",biography:"Andri IRFAN is a Senior Lecturer of Civil Engineering and Planning. He completed the PhD at the Universitas Indonesia & Universidade do Minho with Sandwich Program Scholarship from the Directorate General of Higher Education and LPDP scholarship. He has been teaching for more than 19 years and much active to applied his knowledge in the project construction in Indonesia. His research interest ranges from pavement management system to advanced data mining techniques for transportation engineering. He has published more than 50 papers in journals and 2 books.",institutionString:null,institution:{name:"Universitas Internasional Batam",country:{name:"Indonesia"}}},{id:"314576",title:"Dr.",name:"Ibai",middleName:null,surname:"Laña",slug:"ibai-lana",fullName:"Ibai Laña",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/314576/images/system/314576.jpg",biography:"Dr. Ibai Laña works at TECNALIA as a data analyst. He received his Ph.D. in Artificial Intelligence from the University of the Basque Country (UPV/EHU), Spain, in 2018. He is currently a senior researcher at TECNALIA. His research interests fall within the intersection of intelligent transportation systems, machine learning, traffic data analysis, and data science. He has dealt with urban traffic forecasting problems, applying machine learning models and evolutionary algorithms. He has experience in origin-destination matrix estimation or point of interest and trajectory detection. Working with large volumes of data has given him a good command of big data processing tools and NoSQL databases. He has also been a visiting scholar at the Knowledge Engineering and Discovery Research Institute, Auckland University of Technology.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"314575",title:"Dr.",name:"Jesus",middleName:null,surname:"L. Lobo",slug:"jesus-l.-lobo",fullName:"Jesus L. Lobo",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/314575/images/system/314575.png",biography:"Dr. Jesús López is currently based in Bilbao (Spain) working at TECNALIA as Artificial Intelligence Research Scientist. In most cases, a project idea or a new research line needs to be investigated to see if it is good enough to take into production or to focus on it. That is exactly what he does, diving into Machine Learning algorithms and technologies to help TECNALIA to decide whether something is great in theory or will actually impact on the product or processes of its projects. So, he is expert at framing experiments, developing hypotheses, and proving whether they’re true or not, in order to investigate fundamental problems with a longer time horizon. He is also able to design and develop PoCs and system prototypes in simulation. He has participated in several national and internacional R&D projects.\n\nAs another relevant part of his everyday research work, he usually publishes his findings in reputed scientific refereed journals and international conferences, occasionally acting as reviewer and Programme Commitee member. Concretely, since 2018 he has published 9 JCR (8 Q1) journal papers, 9 conference papers (e.g. ECML PKDD 2021), and he has co-edited a book. He is also active in popular science writing data science stories for reputed blogs (KDNuggets, TowardsDataScience, Naukas). Besides, he has recently embarked on mentoring programmes as mentor, and has also worked as data science trainer.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"103779",title:"Prof.",name:"Yalcin",middleName:null,surname:"Isler",slug:"yalcin-isler",fullName:"Yalcin Isler",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRyQ8QAK/Profile_Picture_1628834958734",biography:"Yalcin Isler (1971 - Burdur / Turkey) received the B.Sc. degree in the Department of Electrical and Electronics Engineering from Anadolu University, Eskisehir, Turkey, in 1993, the M.Sc. degree from the Department of Electronics and Communication Engineering, Suleyman Demirel University, Isparta, Turkey, in 1996, the Ph.D. degree from the Department of Electrical and Electronics Engineering, Dokuz Eylul University, Izmir, Turkey, in 2009, and the Competence of Associate Professorship from the Turkish Interuniversity Council in 2019.\n\nHe was Lecturer at Burdur Vocational School in Suleyman Demirel University (1993-2000, Burdur / Turkey), Software Engineer (2000-2002, Izmir / Turkey), Research Assistant in Bulent Ecevit University (2002-2003, Zonguldak / Turkey), Research Assistant in Dokuz Eylul University (2003-2010, Izmir / Turkey), Assistant Professor at the Department of Electrical and Electronics Engineering in Bulent Ecevit University (2010-2012, Zonguldak / Turkey), Assistant Professor at the Department of Biomedical Engineering in Izmir Katip Celebi University (2012-2019, Izmir / Turkey). He is an Associate Professor at the Department of Biomedical Engineering at Izmir Katip Celebi University, Izmir / Turkey, since 2019. In addition to academics, he has also founded Islerya Medical and Information Technologies Company, Izmir / Turkey, since 2017.\n\nHis main research interests cover biomedical signal processing, pattern recognition, medical device design, programming, and embedded systems. He has many scientific papers and participated in several projects in these study fields. He was an IEEE Student Member (2009-2011) and IEEE Member (2011-2014) and has been IEEE Senior Member since 2014.",institutionString:null,institution:{name:"Izmir Kâtip Çelebi University",country:{name:"Turkey"}}},{id:"339677",title:"Dr.",name:"Mrinmoy",middleName:null,surname:"Roy",slug:"mrinmoy-roy",fullName:"Mrinmoy Roy",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/339677/images/16768_n.jpg",biography:"An accomplished Sales & Marketing professional with 12 years of cross-functional experience in well-known organisations such as CIPLA, LUPIN, GLENMARK, ASTRAZENECA across different segment of Sales & Marketing, International Business, Institutional Business, Product Management, Strategic Marketing of HIV, Oncology, Derma, Respiratory, Anti-Diabetic, Nutraceutical & Stomatological Product Portfolio and Generic as well as Chronic Critical Care Portfolio. A First Class MBA in International Business & Strategic Marketing, B.Pharm, D.Pharm, Google Certified Digital Marketing Professional. Qualified PhD Candidate in Operations and Management with special focus on Artificial Intelligence and Machine Learning adoption, analysis and use in Healthcare, Hospital & Pharma Domain. Seasoned with diverse therapy area of Pharmaceutical Sales & Marketing ranging from generating revenue through generating prescriptions, launching new products, and making them big brands with continuous strategy execution at the Physician and Patients level. Moved from Sales to Marketing and Business Development for 3.5 years in South East Asian Market operating from Manila, Philippines. Came back to India and handled and developed Brands such as Gluconorm, Lupisulin, Supracal, Absolut Woman, Hemozink, Fabiflu (For COVID 19), and many more. In my previous assignment I used to develop and execute strategies on Sales & Marketing, Commercialization & Business Development for Institution and Corporate Hospital Business portfolio of Oncology Therapy Area for AstraZeneca Pharma India Ltd. Being a Research Scholar and Student of ‘Operations Research & Management: Artificial Intelligence’ I published several pioneer research papers and book chapters on the same in Internationally reputed journals and Books indexed in Scopus, Springer and Ei Compendex, Google Scholar etc. Currently, I am launching PGDM Pharmaceutical Management Program in IIHMR Bangalore and spearheading the course curriculum and structure of the same. I am interested in Collaboration for Healthcare Innovation, Pharma AI Innovation, Future trend in Marketing and Management with incubation on Healthcare, Healthcare IT startups, AI-ML Modelling and Healthcare Algorithm based training module development. I am also an affiliated member of the Institute of Management Consultant of India, looking forward to Healthcare, Healthcare IT and Innovation, Pharma and Hospital Management Consulting works.",institutionString:null,institution:{name:"Lovely Professional University",country:{name:"India"}}},{id:"310576",title:"Prof.",name:"Erick Giovani",middleName:null,surname:"Sperandio Nascimento",slug:"erick-giovani-sperandio-nascimento",fullName:"Erick Giovani Sperandio Nascimento",position:null,profilePictureURL:"https://intech-files.s3.amazonaws.com/0033Y00002pDKxDQAW/ProfilePicture%202022-06-20%2019%3A57%3A24.788",biography:"Prof. Erick Sperandio is the Lead Researcher and professor of Artificial Intelligence (AI) at SENAI CIMATEC, Bahia, Brazil, also working with Computational Modeling (CM) and HPC. He holds a PhD in Environmental Engineering in the area of Atmospheric Computational Modeling, a Master in Informatics in the field of Computational Intelligence and Graduated in Computer Science from UFES. He currently coordinates, leads and participates in R&D projects in the areas of AI, computational modeling and supercomputing applied to different areas such as Oil and Gas, Health, Advanced Manufacturing, Renewable Energies and Atmospheric Sciences, advising undergraduate, master's and doctoral students. He is the Lead Researcher at SENAI CIMATEC's Reference Center on Artificial Intelligence. In addition, he is a Certified Instructor and University Ambassador of the NVIDIA Deep Learning Institute (DLI) in the areas of Deep Learning, Computer Vision, Natural Language Processing and Recommender Systems, and Principal Investigator of the NVIDIA/CIMATEC AI Joint Lab, the first in Latin America within the NVIDIA AI Technology Center (NVAITC) worldwide program. He also works as a researcher at the Supercomputing Center for Industrial Innovation (CS2i) and at the SENAI Institute of Innovation for Automation (ISI Automação), both from SENAI CIMATEC. He is a member and vice-coordinator of the Basic Board of Scientific-Technological Advice and Evaluation, in the area of Innovation, of the Foundation for Research Support of the State of Bahia (FAPESB). He serves as Technology Transfer Coordinator and one of the Principal Investigators at the National Applied Research Center in Artificial Intelligence (CPA-IA) of SENAI CIMATEC, focusing on Industry, being one of the six CPA-IA in Brazil approved by MCTI / FAPESP / CGI.br. He also participates as one of the representatives of Brazil in the BRICS Innovation Collaboration Working Group on HPC, ICT and AI. He is the coordinator of the Work Group of the Axis 5 - Workforce and Training - of the Brazilian Strategy for Artificial Intelligence (EBIA), and member of the MCTI/EMBRAPII AI Innovation Network Training Committee. He is the coordinator, by SENAI CIMATEC, of the Artificial Intelligence Reference Network of the State of Bahia (REDE BAH.IA). He leads the working group of experts representing Brazil in the Global Partnership on Artificial Intelligence (GPAI), on the theme \"AI and the Pandemic Response\".",institutionString:"Manufacturing and Technology Integrated Campus – SENAI CIMATEC",institution:null},{id:"1063",title:"Prof.",name:"Constantin",middleName:null,surname:"Volosencu",slug:"constantin-volosencu",fullName:"Constantin Volosencu",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/1063/images/system/1063.png",biography:"Prof. Dr. Constantin Voloşencu graduated as an engineer from\nPolitehnica University of Timișoara, Romania, where he also\nobtained a doctorate degree. He is currently a full professor in\nthe Department of Automation and Applied Informatics at the\nsame university. Dr. Voloşencu is the author of ten books, seven\nbook chapters, and more than 160 papers published in journals\nand conference proceedings. He has also edited twelve books and\nhas twenty-seven patents to his name. He is a manager of research grants, editor in\nchief and member of international journal editorial boards, a former plenary speaker, a member of scientific committees, and chair at international conferences. His\nresearch is in the fields of control systems, control of electric drives, fuzzy control\nsystems, neural network applications, fault detection and diagnosis, sensor network\napplications, monitoring of distributed parameter systems, and power ultrasound\napplications. He has developed automation equipment for machine tools, spooling\nmachines, high-power ultrasound processes, and more.",institutionString:'"Politechnica" University Timişoara',institution:null},{id:"221364",title:"Dr.",name:"Eneko",middleName:null,surname:"Osaba",slug:"eneko-osaba",fullName:"Eneko Osaba",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/221364/images/system/221364.jpg",biography:"Dr. Eneko Osaba works at TECNALIA as a senior researcher. He obtained his Ph.D. in Artificial Intelligence in 2015. He has participated in more than twenty-five local and European research projects, and in the publication of more than 130 papers. He has performed several stays at universities in the United Kingdom, Italy, and Malta. Dr. Osaba has served as a program committee member in more than forty international conferences and participated in organizing activities in more than ten international conferences. He is a member of the editorial board of the International Journal of Artificial Intelligence, Data in Brief, and Journal of Advanced Transportation. He is also a guest editor for the Journal of Computational Science, Neurocomputing, Swarm, and Evolutionary Computation and IEEE ITS Magazine.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"275829",title:"Dr.",name:"Esther",middleName:null,surname:"Villar-Rodriguez",slug:"esther-villar-rodriguez",fullName:"Esther Villar-Rodriguez",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/275829/images/system/275829.jpg",biography:"Dr. Esther Villar obtained a Ph.D. in Information and Communication Technologies from the University of Alcalá, Spain, in 2015. She obtained a degree in Computer Science from the University of Deusto, Spain, in 2010, and an MSc in Computer Languages and Systems from the National University of Distance Education, Spain, in 2012. Her areas of interest and knowledge include natural language processing (NLP), detection of impersonation in social networks, semantic web, and machine learning. Dr. Esther Villar made several contributions at conferences and publishing in various journals in those fields. Currently, she is working within the OPTIMA (Optimization Modeling & Analytics) business of TECNALIA’s ICT Division as a data scientist in projects related to the prediction and optimization of management and industrial processes (resource planning, energy efficiency, etc).",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"49813",title:"Dr.",name:"Javier",middleName:null,surname:"Del Ser",slug:"javier-del-ser",fullName:"Javier Del Ser",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/49813/images/system/49813.png",biography:"Prof. Dr. Javier Del Ser received his first PhD in Telecommunication Engineering (Cum Laude) from the University of Navarra, Spain, in 2006, and a second PhD in Computational Intelligence (Summa Cum Laude) from the University of Alcala, Spain, in 2013. 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. He is a Senior Member of the IEEE, and a recipient of the Biscay Talent prize for his academic career.",institutionString:"Tecnalia Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"278948",title:"Dr.",name:"Carlos Pedro",middleName:null,surname:"Gonçalves",slug:"carlos-pedro-goncalves",fullName:"Carlos Pedro Gonçalves",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRcmyQAC/Profile_Picture_1564224512145",biography:'Carlos Pedro Gonçalves (PhD) is an Associate Professor at Lusophone University of Humanities and Technologies and a researcher on Complexity Sciences, Quantum Technologies, Artificial Intelligence, Strategic Studies, Studies in Intelligence and Security, FinTech and Financial Risk Modeling. He is also a progammer with programming experience in:\n\nA) Quantum Computing using Qiskit Python module and IBM Quantum Experience Platform, with software developed on the simulation of Quantum Artificial Neural Networks and Quantum Cybersecurity;\n\nB) Artificial Intelligence and Machine learning programming in Python;\n\nC) Artificial Intelligence, Multiagent Systems Modeling and System Dynamics Modeling in Netlogo, with models developed in the areas of Chaos Theory, Econophysics, Artificial Intelligence, Classical and Quantum Complex Systems Science, with the Econophysics models having been cited worldwide and incorporated in PhD programs by different Universities.\n\nReceived an Arctic Code Vault Contributor status by GitHub, due to having developed open source software preserved in the \\"Arctic Code Vault\\" for future generations (https://archiveprogram.github.com/arctic-vault/), with the Strategy Analyzer A.I. module for decision making support (based on his PhD thesis, used in his Classes on Decision Making and in Strategic Intelligence Consulting Activities) and QNeural Python Quantum Neural Network simulator also preserved in the \\"Arctic Code Vault\\", for access to these software modules see: https://github.com/cpgoncalves. He is also a peer reviewer with outsanding review status from Elsevier journals, including Physica A, Neurocomputing and Engineering Applications of Artificial Intelligence. Science CV available at: https://www.cienciavitae.pt//pt/8E1C-A8B3-78C5 and ORCID: https://orcid.org/0000-0002-0298-3974',institutionString:"University of Lisbon",institution:{name:"Universidade Lusófona",country:{name:"Portugal"}}},{id:"241400",title:"Prof.",name:"Mohammed",middleName:null,surname:"Bsiss",slug:"mohammed-bsiss",fullName:"Mohammed Bsiss",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/241400/images/8062_n.jpg",biography:null,institutionString:null,institution:null},{id:"276128",title:"Dr.",name:"Hira",middleName:null,surname:"Fatima",slug:"hira-fatima",fullName:"Hira Fatima",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/276128/images/14420_n.jpg",biography:"Dr. Hira Fatima\nAssistant Professor\nDepartment of Mathematics\nInstitute of Applied Science\nMangalayatan University, Aligarh\nMobile: no : 8532041179\nhirafatima2014@gmal.com\n\nDr. Hira Fatima has received his Ph.D. degree in pure Mathematics from Aligarh Muslim University, Aligarh India. Currently working as an Assistant Professor in the Department of Mathematics, Institute of Applied Science, Mangalayatan University, Aligarh. She taught so many courses of Mathematics of UG and PG level. Her research Area of Expertise is Functional Analysis & Sequence Spaces. She has been working on Ideal Convergence of double sequence. She has published 17 research papers in National and International Journals including Cogent Mathematics, Filomat, Journal of Intelligent and Fuzzy Systems, Advances in Difference Equations, Journal of Mathematical Analysis, Journal of Mathematical & Computer Science etc. She has also reviewed few research papers for the and international journals. She is a member of Indian Mathematical Society.",institutionString:null,institution:null},{id:"414880",title:"Dr.",name:"Maryam",middleName:null,surname:"Vatankhah",slug:"maryam-vatankhah",fullName:"Maryam Vatankhah",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Borough of Manhattan Community College",country:{name:"United States of America"}}},{id:"414879",title:"Prof.",name:"Mohammad-Reza",middleName:null,surname:"Akbarzadeh-Totonchi",slug:"mohammad-reza-akbarzadeh-totonchi",fullName:"Mohammad-Reza Akbarzadeh-Totonchi",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Ferdowsi University of Mashhad",country:{name:"Iran"}}},{id:"414878",title:"Prof.",name:"Reza",middleName:null,surname:"Fazel-Rezai",slug:"reza-fazel-rezai",fullName:"Reza Fazel-Rezai",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"American Public University System",country:{name:"United States of America"}}},{id:"426586",title:"Dr.",name:"Oladunni A.",middleName:null,surname:"Daramola",slug:"oladunni-a.-daramola",fullName:"Oladunni A. 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Since then, he has been working as an Adjunct Professor in the same Department at the University of Pavia. His research activity during the first years was primarily focused on the purification and structural characterization of enzymes from animal and plant sources. During this period, Prof. Iadarola familiarized himself with the conventional techniques used in column chromatography, spectrophotometry, manual Edman degradation, and electrophoresis). Since 1995, he has been working on: i) the determination in biological fluids (serum, urine, bronchoalveolar lavage, sputum) of proteolytic activities involved in the degradation processes of connective tissue matrix, and ii) on the identification of biological markers of lung diseases. In this context, he has developed and validated new methodologies (e.g., Capillary Electrophoresis coupled to Laser-Induced Fluorescence, CE-LIF) whose application enabled him to determine both the amounts of biochemical markers (Desmosines) in urine/serum of patients affected by Chronic Obstructive Pulmonary Disease (COPD) and the activity of proteolytic enzymes (Human Neutrophil Elastase, Cathepsin G, Pseudomonas aeruginosa elastase) in sputa of these patients. More recently, Prof. Iadarola was involved in developing techniques such as two-dimensional electrophoresis coupled to liquid chromatography/mass spectrometry (2DE-LC/MS) for the proteomic analysis of biological fluids aimed at the identification of potential biomarkers of different lung diseases. He is the author of about 150 publications (According to Scopus: H-Index: 23; Total citations: 1568- According to WOS: H-Index: 20; Total Citations: 1296) of peer-reviewed international journals. 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