The electrical parameters of Randle’s circuit.
\r\n\t
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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:"76168",title:"Ginseng in Hair Growth and Viability",doi:"10.5772/intechopen.96962",slug:"ginseng-in-hair-growth-and-viability",body:'Hair is made of several proteins, the principal protein that compound the fibrous structure of the hair is keratin, in addition to keratin, which has a high content of the amino acid cysteine, the hair also contains water, lipids, minerals, and the pigment melanin.
The hair shaft (the visible fiber that is growth above the skin), is a fiber with a variety of color depending of the melanin content that pigmented the keratin fiber. The dermal element in the hair follicle is the dermal papilla, which is majorly former by fibroblast cells, this dermal element controls the hair cycle.
The fiber of the hair, the hair shaft, grows from the hair follicle which is a tubular structure that forms a bulb around the matrix of the hair bulb, specialized dermal stem cell and different types of keratinocytes, from this hair bulb that form the dermal papilla the hair shaft growth by division of proliferative cells, thus cells goes to a process of differentiated, keratinized, and pigmented in the hair follicle to form the hair shaft in a cycling manner. The diameter of the hair shaft is directly related to the size of the papilla, and allows us to define the miniaturized hairs and normal hair.
The hair structure is composed by concentric layers that forms the hair follicle, the medulla which is the center is includes the cortex and outwards the cuticle of the cortex, and is surrounded by the inner and outer root sheath, and all the mini-organ is surrounded by connective tissue.
The functional aspect of hair is not only to protect from radiation, heat or cold and any extern agent but also contribute to the appearance and personality. The loss of the hair contributes to psychological, social and psychosocial problems, generating a cosmetic and social impact in our society.
The hair follicle has the unique capacity of undergoing periods of growth (anagen), regression (catagen), and rest (telogen and exogen) before regenerating itself to restart the cycle [1, 2, 3, 4] (Figure 1). This dynamic cycling capacity enables mammals to change their coats, and for hair length to be controlled on different body sites [5].
Hair cycle stages scheme, phase of growth (anagen), regression (catagen), and rest (telogen) before regenerating itself to restart the cycle.
Unlike what is observed in many animals in which the pelage synchronously passes from one phase of the cycle to other all stages of growth cycle are simultaneously found in the human, the growth pattern is a mosaic where the hair cycling staging of one hair root is completely independent of it nearest hair follicle, meaning that each follicular unit (FU) can contain follicles in different stages at any given time. In healthy individuals, 80–90% of follicles are in the anagen phase, 1–2% in the catagen phase, and 10–15% in the telogen phase [6]. The hair grows around one centimeter a month, and has a variable growth speed being faster in the summer than in winter. The growth phase, or anagen phase, lasts an average of 3–5 years. This normal hair-growth cycle can be modified or by internal or external factors such as hormones, stress, sun, disease, exposure to environmental pollution, drugs and smoking. This changes in the growth cycle and quality of hair can leads to hair loss by a shortening of the anagen phase, a premature ingression of the catagen phase, the prolongation of the telogen phase or a loss of the hair follicle function [6, 7]. Common hair loss is medically named as alopecia, and can be suffer by men and women.
Research has shown that in hair loss, the percentage of telogen follicles is increased, while the percentage of anagen and catagen follicles is reduced. A healthy individual loses approximately 100–150 hairs per day [6]. Cell-signaling pathways in hair follicular cells resulting in the induction of apoptosis, changes in usual pattern of hair cycling, inducing the hair follicle to turn into regression or resting phase and thinning or fracture of the hair shaft leads to progressive hair loss and alopecia [7].
Hair loss is a universal problem for numerous people in the world, is a disorder in which the hair falls out from skin areas such as scalp, the body and face. Multiples factors contribute to hair loss including genetics, hormones, nutritional status, and environmental exposure (exposure to radiations, environmental toxicants…), medications and nutrition.
Androgenic alopecia can be suffered by women and men and the androgens hormones are the most important of the factors that cause the hair lost patron characterized by a miniaturized of the hair follicles that leads to hair lost in the frontal to parietal area.
Other forms of hair loss are for example caused by immunogenic hair loss, like alopecia areata, this is characterized by a spot of hair lost all around the scalp. The approved therapies such as finasteride and minoxidil, are the traditional medication used for this hair lost diseases, a few others are in progress, like a wide variety of diverse phytochemicals, including those present in ginseng, the ginsenosides which have demonstrated hair growth-promoting effects in a large number of preclinical studies [7].
Androgenic baldness (androgenic alopecia) and circular/spot baldness (alopecia areata) are the most common forms of hair loss. The first is characterized by high sensitivity of the hair follicles to DH, while the second is induced by an autoimmune reaction [8, 9]. Hair also possesses its own immune system, the failure of which can lead to spot baldness (alopecia areata).
Alopecia is extended all round the world, reaching nowadays approximately to 10 million patients suffering from alopecia. Considering the pathological background of alopecia and its impact on an individual’s health and social value, there is now a growing interest in the development of novel therapeutics for its medical management [7].
Given the negative psychosocial impact of hair loss, patients follow different therapies, conventional treatments such as the two medications approved by the United States Food and Drug Administration (US-FDA): Minoxidil and Finasteride, for the treatment of alopecia.
Finasteride has a potent effect against androgens, being non-steroidal, it has shown to prevent male and female hair loss through the inhibition of type II 5α-reductase, which affects androgen metabolism avoiding the conversion of free testosterone into 5α-dihydrotestosterone, playing an important role in the pathogenesis of androgenetic alopecia in men and women [10].
The effect of minoxidil as hair growth stimulating has been known over last decades, since it was introduced in the early 1970 as a treatment for hypertension. But yet the basic mechanism of action on the hair follicle is not clearly understood [11, 12].
These drugs work improving the quality of the hair follicles and reducing the hair lost but exhibit certain adverse effects, such as allergic contact dermatitis, erythema, and itching, and also stop recommended guideline of minoxidil leads to recurrence of alopecia and a prolonged use of finasteride causes male sexual dysfunction and appears as a major cause of infertility and teratogenicity in females.
Patient that do not see significant hair restoration with conventional therapies or suffer side effects often change from these conventional treatments to alternative medicine trying new treatments from the vast resources of natural products, in an attempt to find safe, natural and efficacious therapies to restore the hair.
Natural products as it is known in the market “Dietary supplements” includes diverse subgroups like vitamins, probiotics, minerals, herbs, extracts, gels that do not require Food and Drug Administration (FDA) approval [13].
To treat hair loss are available treatments using amino acids, caffeine, capsaicin, curcumin, garlic gel, onion gel and extract, cinnamon,
Ginseng is an ancient herbal remedy that was recorded in The Herbal Classic of the Divine Plowman, the oldest comprehensive Materia Medica, which was scripted approximately 2000 years ago [9].
Among different species which are known as ginseng,
Nowadays has gained fame as one of the most popular herbs originating from Eastern Countries, because contemporary science has revealed that ginseng contains a wide variety of bioactive constituents, especially a group of saponin compounds collectively known as ginsenosides, which have been proposed to account for most of the diverse biological activities, including the hair-growth potential of ginseng [9]. Ginsenosides can be classified, depending on the number of hydroxyl groups available for glycosylation via dehydration reactions, as protopanaxadiol (PPD) and protopanaxatriol (PPT). Common PPD-type ginsenosides include ginsenosides Rb1, Rb2, Rc, Rd., Rg3, F2, Rh2, compound K (cK), and PPD, whereas PPT-type ginsenosides include Re, Rf, Rg1, Rg2, F1, Rh1, and PPT [9] and malony ginsenosides mRb1, mRb2 and mRbc [15]. Ginseng extract or its specific ginsenosides have been tested for their potential to promote hair growth.
The major bioactive constituents of ginseng are ginsenosides and there has been evidences suggesting that promote hair growth by enhancing proliferation of dermal papilla and preventing hair loss via modulation of various cell-signaling pathways [9, 16, 17].
The role of 5α-reductase enzyme in the hair-loss process has been well-documented [18], affects androgen metabolism, and it is the pathway how drugs approved are used nowadays.
Novel therapeutics ways for the management of hair loss and alopecia improving hair-follicle proliferation and reducing hair-loss need new targets (Figure 2). These targets include, matrix metalloproteinases (MMPs), extracellular signal-regulated protein kinase (ERK), and Janus-activated kinase (JAK), the activation of the proliferation by WNT/Dickkopf homolog 1 (DKK1), sonic hedgehog (Shh), vascular endothelial growth factor (VEGF), apoptosis inhibition by transforming growth factor-beta (TGF-β).
The effect of the 5α-reductase enzyme, dihydrotestosterone, and the growth factor TGF-β on hair loss and the potential targets of ginseng in hair growth and loss.
Photo aging is skin damage induced by radiation exposure (Sun exposure) characterized by different inflammatory responses to ultraviolet radiation (UVR). Excessive UV irradiation is known to cause skin photo damage by release of oxidative species which leads to skin inflammation, and keratinocyte cell death producing photo aging and carcinogenesis.
There are evidences that suggest that misbalances in the hair-growth cycle, affecting keratinocyte and dermal papilla growth [19] is cause by UVR exposure not only producing the damage of the hair shaft as an extracellular tissue, as it is clearly evident but also alters the molecular growth [19].
The Reactive Oxidative Species (ROS) accumulation and activation of matrix metalloproteinase (MMPs), a tissue-degrading enzymes, produced by UV irradiation compromises dermal and epidermal structural integrity [9].
The inhibitory effect of ginsenosides on UVB-induced activation of MMP2 suggests the potential of these ginseng saponins in hair-growth regulation [9]. Ginsenosides Rb2 [20] and 20 (S) PPD, have been reported to reduce the formation of ROS and MMP-2 secretion in cultured human keratinocytes (HaCaT) cells after exposure to UVB radiation. Ginsenoside Rg3 20 (S), reduced ROS generation in HaCaT cells and human dermal fibroblasts without affecting cell viability. The 20 (S) Rg3 also attenuated UVB-induced MMP-2 levels in HaCaT cells [21]. Ginsenoside Rh2 reduced UVB radiation-induced expression and activity of MMP-2 in HaCaT cells, but UVB-induced ROS formation was only suppressed by 20 (S)-Rh2 [22].
Ginsenosides extracts from the Ginseng radix have shown attenuates radiation-induced cell death in the skin, improving hair growth. Ki67 positive number of cells and Bcl2 protein expression, an antiapoptotic protein, are induced by Total-root saponins and ginsenoside Rb1 diminishing apoptotic cells in UVB-exposed human keratinocytes [9, 23]. Ginsenoside F1, an enzymatically modified derivative of ginsenoside Rg1, by maintaining a constant level of the antiapoptotic protein Bcl-2 expression in UVB-irradiated HaCaT cells, protect keratinocytes from radiation-induced apoptosis [9, 24].
Skin aging is a multifactorial process consisting of two distinct and independent mechanisms: intrinsic and extrinsic aging.
Ginsenosides, extracted from Ginseng have been tested in several studies in antiaging [25, 26]. This antiaging effects, of ginseng extract and ginsenosides is produced by maintaining skin structural integrity and regulating hair-growth by stimulating wound healing cells, collagen and hyaluronic acid.
Lee et all incubates fibroblasts, which are key wound-healing cells, with
Wrinkle formation, is associated as marker of dermal aging and present a reduced level of hyaluronan in the dermis [29]. On HaCaT cell treated with major ginseng metabolite (compound K, 20-O-beta-D-glucopyranosyl-20(S)-protopanaxadiol) were report that hyaluronan synthase2 (HAS2) gene is one of the most significantly induced genes [30] and also was tested that topical application of compound K on mouse skin and shows elevated the expression of hyaluronan synthase-2 [30]. The hyaluronan synthase-2 is an enzyme essential to hyaluronan synthesis, hyaluronan is a major component of most extracellular matrices that has a structural role in tissues architectures and regulates cell adhesion, migration and differentiation.
These antiaging effects of ginseng extracts through Src kinase-dependent activation of ERK and AKT/PKB kinases in the dermis and papillary dermis result in improved skin health, thereby ensuring hair-follicle health and a regular hair cycle [9, 30].
The exposure to androgens is the major triggers for hair loss is which in most cases is genetically predetermined in androgenic alopecia patients [9, 31, 32].
The androgen that mainly plays a role in altering hair cycling is 5α-dihydrotestosterone (DHT), which is a metabolite of testosterone. The conversion of testosterone to DHT is mediated by the 5α-reductase (5αR) enzyme in each follicle [33, 34] (Figure 2). Treatment with 5α-reductase inhibitors, e.g., finasteride, prevents the development of alopecia and increases scalp-hair growth [9].
Topical application of ginseng extract or ginsenosides was reported to enhance hair growth. Rhizomes of
Major components of hair regenerative capacity such as linoleic acid (LA) and β-sitosterol (SITOS) were significantly restored with Red Ginseng Oil (RGO) after testosterone (TES)-induced delay of anagen entry in C57BL/6 mice, also RGO and its major components reduced the protein level of TGF-β and enhanced the expression of anti-apoptotic protein Bcl-2, suggesting that RGO is a potent novel therapeutic natural product for treatment of androgenic alopecia [37].
Red Ginseng Extract (RGE) and ginsenosides protect hair matrix keratinocyte proliferation against dihydrotestosterone (DHT)-induced suppression and affects the expression of androgen receptor.
Moreover, RGE, ginsenoside-Rb1, and ginsenoside-Rg3 at lower levels that have been shown to inhibit 5a-reductase [35] inhibit the DHT-induced suppression of hair matrix keratinocyte proliferation and the DHT-induced upregulation of the mRNA expression of androgen receptor in hDPCs [16]. DHT is the product of testosterone and does not require the activity of 5a-reductase to affect hair follicles, and the inhibitory effect of DHT on hair growth is mediated by the androgen receptor in DPCs [38]. These results suggest that red ginseng may promote hair growth in humans through the regulation of androgen receptor signaling [16].
Majeed et al. review the recent perspectives of ginseng phytochemicals as therapeutics in oncology and explain the chemotherapeutic effect of ginsenoside as result of its appetites, ant proliferative, anti-angiogenic, anti-inflammatory and anti-oxidant properties [39]. The anticancer effect of ginseng was proven in various types of cancer: breast, lung, liver, colon and skin cancer. It increases the mitochondrial accumulation of apoptosis protein and down regulate the expression of anti-apoptotic protein, reducing cancer development. It also aids in the reduction of alopecia, fatigue and nausea, the known side effects of chemotherapeutic drugs [39].
Alopecia induced by chemotherapy is one of the most distressing side effects for patients undergoing chemotherapy. One drug used as chemotherapy is Cyclophosphamide (CP), also known as cytophosphane. Cyclophosphamide metabolite, 4-hydroperoxycyclophosphamide (4-HC) inhibited human hair growth, induced premature catagen development, and inhibited proliferation and stimulated apoptosis of hair matrix keratinocytes inducing the side effect of alopecia. In human hair follicle organ culture model pre-treatment with Korean Red Ginseng (KRG) before cyclophosphamide metabolite Dong In Keum et all shows that KRG suppress 4-HC-induced inhibition of matrix keratinocyte proliferation and stimulation of matrix keratinocyte apoptosis, playing a protective effect on 4-HC-induced hair growth inhibition and premature catagen development. Moreover, KRG restored 4-HC-induced p53 and Bax/Bcl2 expression [17].
Different intracellular signaling pathways are involving and plays a critical role in stimulating hair growth by promoting dermal papillary-cell proliferation.
Hair growth is promote by Ginsenoside Rg3 upregulating Vascular Endothelial Growth Factor (VEGF) expression [36]. VEGF is a signaling protein which is released from the epithelium and increases the angiogenesis of the hair follicle [9, 40, 41, 42]. Was also demonstrate by Shin et al. that Rg3 increased the proliferation of human dermal papillary cells, associating this proliferation with an upregulation of mRNA expression of VEGF also stimulated stem cells by upregulating factor-activating CD34 and CD8 [36] and promoted hair growth even more than minoxidil in mouse [43] it was conclude that Rg3 might increase hair growth through stimulation of hair follicle stem cells [36].
RGE and ginsenoside-Rb1 enhanced the proliferation of hair matrix keratinocytes, human hair-follicle dermal papillary cells (hDPCs). Treated hair with RGE or ginsenoside-Rb1 exhibited substantial cell proliferation and the associated phosphorylation of ERK and AKT [16], it was recently demonstrated that ERK activation plays an important role in the proliferation of hDPCs [42] and AKT mediates critical signals for cell survival and also regulates the survival of DPCs as an antiapoptotic molecule [9, 16, 44] proliferation and the prolongation of the survival in the hDPCs by red ginseng may be mediated by the ERK and AKT signaling pathway [9, 16].
Human DPC treatment with Gintonin-enriched fraction (GEF) stimulated vascular endothelial growth factor release. Topical application of GEF and minoxidil promoted hair growth in a dose-dependent manner. Histological analysis showed that GEF and minoxidil increased the number of hair follicles and hair weight [45].
The Bcl-2 family proteins is notable for their regulation of apoptosis machinery, a form of programmed cell death, the member of this family either acts as antiapoptotic or pro apoptotic in nature. During the hair cycle, the dermal papillary cells (DPC) is the only region where Bcl-2 is expressed consistently and is considered to resist apoptosis [9, 46, 47, 48]. In mice Fructus
Shh/Gli and Wnt/β path way and related proteins (Shh (Sonic hedgehog,) Smoothened (Smo), β-catenin, Cyclin D1 Cyclin E and Gli1 (glioma-associated oncogene homolog)) are associated to hair regeneration, promoting telogen-to-anagen transition, hair follicle formation and growth [50, 51, 52, 53, 54, 55, 56].
Wingless-type integration-site (WNT) signaling plays a key role in hair-follicle development. Activation of WNT signaling is necessary for initiation of follicular develop, the blockade of WNT signaling by overexpression of the WNT inhibitor, Dickkopf Homolog 1 (DKK1), prevents hair-follicle formation in mice [50] and inhibited hair growth [9, 50].
β-catenin signaling is essential for epithelial stem-cell fate since keratinocytes adopt an epidermal fate in the absence of β-catenin [51], and this signaling pathway is related to WNT [52] affecting hair follicle placodes formation, when β-catenin is mutated during embryogenesis, formation of placodes that generate hair follicles is blocked [53].
The role of TGF-β in hair loss has been documented through the study revealing that treatment with a TGF-β antagonist can promote hair growth via preventing catagen progression [57]. Also through the activation of TGF-β and brain-derived neurotrophic factor (BDNF), it was describe that it was enhanced the transition from the anagen to the catagen phase [58].
Since TGF-β1 induces catagen in hair follicles and it is closely related to alopecia progression it can be say that acts as a pathogenic mediator of androgenic alopecia [57, 59] and red ginseng extract can delay the catagen phase and holds the potential to promote hair growth, thought downregulation or inhibition of the TGF-β pathway.
On Young Go Kim investigation was concluded that on ultraviolet B (UVB)-irradiated skin aging in mice, oral administration of Red Ginseng extract protects from skin damage induced by ultraviolet B (UVB)-irradiation, increases of skin thickness and pigmentation, reduction of skin elasticity, inhibited the increases of epidermis and corium thickness. The administration of Red Ginseng extract exert the protective action on UVB-radiation skin aging inhibiting the increase of skin TGF-beta1 content induced by UVB irradiation [60].
Furthermore on Zheng Li the hair-growth-promoting effects of Protopanaxatiol type ginsenoside Re were associated with the downregulation of TGF-β-pathway-related genes, which are involved in the control of hair-growth phase-transition-related signaling pathways [61]. On their study shows that topical administration of ginsenoside Re on to the back skin of nude mice for up to 45 days significantly increased hair-shaft length and hair existent time, and stimulated hair-shaft elongation in the ex vivo cultures of hair follicles isolated from C57BL/6 mouse [61].
The hyper activation of the c-Jun-N-terminal kinase (JNK) pathway in associate with an activation of TGF-β-induced hair loss. Korean red ginseng has been attributed to exert protective effects onTGF-β-induced hair loss by the inhibition of JNK on radiation-induced apoptosis of HaCaT cells [62].
By promoting telogen-to-anagen transition of follicular cells and epidermal growth, Shh/Gli regulates hair-follicle development, growth and cycling [54, 55]. Shh−/− mice develop have abnormal hair follicular cells in the dermal papillae and blocking Shh activity mice diminished hair growth, this results indicates the importance of Shh signaling in hair-growth promotion [56].
Androgenetic alopecia is related to testosterone (TES)-induced delay of anagen phase and hair loss. In C57BL/6 mice Red-ginseng oil (RGO) reversed testosterone-induced suppression of hair regeneration through early inducing anagen phase by up-regulating the expression of Shh/Gliand Wnt/β pathway-related proteins, Shh, Smoothened (Smo), β-catenin, Cyclin D1 Cyclin E and Gli1. Additionally, RGO reduced the protein level of TGF-β but enhanced the expression of anti-apoptotic protein Bcl-2 [37] suggesting that RGO is a potent therapeutic natural product for treatment of androgenic alopecia possibly through hair re-growth activity [37].
The signaling pathway and anagen induction effect of ginsenoside F2 were investigated and compared with finasteride on the effect of hair growth induction in Heon-Sub Shin at all paper [43] where MTT assay results indicated cell proliferation in human DPC increased a 30% with ginsenoside F2 treatment compared to finasteride [43]. Studding the expression of β-catenin and its transcriptional coactivator Lef-1, the Ginsenoside F2 compared to finasteride group, increased the expressions while decreased the expression of DKK-1. Tissue histological analysis shows that administration of ginsenoside F2 promoted hair growth as compared to finasteride, increase in the number of hair follicles, thickness of the epidermis, and follicles of the anagen phase [43]. Heon-Sub Shin conclude that ginsenoside F2 might be a potential new therapeutic compound for anagen induction and hair growth through the Wnt signal pathway [43]. In another study by Matsuda et al., ginsenosides Rg3 and Rb1 [63] extracted from red ginseng stimulates hair growth activity in an organ culture of mouse vibrissa follicles. No detailed explanations are given in this paper about the mechanism of hair growth, but the results presented by Matsuda et al. [63] indicated that Ginseng Radix possesses hair growth promoting activity.
Growth factors and cytokines have been proved to influence hair follicle development or cycling [65] overexpression and/or secretion of Cytokines, such as interleukins (ILs) and interferons (IFN), cause skin inflammation, TGF beta 1 partially inhibited hair growth and EGF, TNF alpha and IL-1 beta completely abrogated it [66]. There is an aberrant expression pattern of cytokines in alopecia areata hair follicles.
The presence of CD8+ T cells and NKG2D+ cells around the peri-bulbar area of the affected hair follicles [67] and upregulation of several ILs, such as IL-2, IL-7, IL-15, and IL-21, and IFN-γ leads to immune activation area where’re main suppressed natural killer (NK) cells [68] and is defined as immune-tolerated area. Loss of immune tolerance [68] or immune activation [67], leads to hair-follicle dystrophy and acceleration of the catagen phase [9] by the activation of a cytotoxic cluster of differentiation 8-positive (CD8+) and NK group 2D-positive (NKG2D+) T cells. In alopecia Areata (AA) are found more CD57 − CD16+ NK cells and there is a association between NK cells and the collapse of HF-IP (immune privilege) while normal human scalp skin—that indeed there is no sign of an NK attack on normal anagen VI HFs [69].
Phosphorylate Stat3 in the Janus Kinase (JAK)/Signal transducer and activator of transcription-3 (STAT3) pathway regulate the activation of CD8+ and the NKG2D+ CD8+ T cells [70]. The inhibition of the upstream pathway JAK appears as a plausible target for developing a therapy for hair loss [67]. In fact, a number of JAK inhibitors, such as tofacitinib, ruxolitinib, baricitinib, CTP-543, PF-06651600 and PF-06700841 are in the progress of developing a therapy for alopecia [71, 72] more often in alopecia areata a common form of non-scarring hair loss that usually starts abruptly with a very high psychological impact [73], it is a T-cell-mediated disease which produces circular patches of non-scarring hair loss and nail dystrophy [72].
Ginsenoside Rk1 inhibited the lipopolysaccharide- stimulated phosphorylation of JAK2 and STAT3 in murine macrophage cells [74] and Ginsenoside 20(S)-Rh2 exerts anti-cancer activity through targeting IL-6-induced JAK2/STAT3 [75]. Topical application of ginsenoside F2 by inhibiting the production of IL-17 and ROS, ameliorated dermal inflammation skin [69]. In the pathogenesis of alopecia areata is believed to be an imbalance of inflammatory cytokines IL-17. Monoclonal antibodies against IL-17A leads to hair regrowth in human volunteers [76]. Treatment with
Ginseng may be a multipurpose natural medicine with an extended history of medical application throughout the globe, particularly in Eastern countries.
The beneficial effects of Ginseng cover a good spectrum from immune to cardiovascular, cancer and sexual diseases. New advances in the science leads elucidate new pharmacological activity of the ginseng and its ginsenosides. There are some studies of the use of Ginseng in dermatology investigating its effects from molecular to physiological in a skin cancer, dermatitis, alopecia wound injury and of course hair loss because also ginseng and its ginsenosides regulate the expression and activity of major proteins involved in hair-cycling phases, so the medical use of ginseng is not only restricted to the improvement of general wellness, but also extended to the treatment of organ-specific pathological conditions, like hair.
Ginseng and its metabolites are associate with the induction of anagen phase preventing hair lost and promoting hair growth although further studies should be done to elucidate and clarified the mechanisms by which ginseng and its metabolites regulate human hair health.
The authors declare no conflict of interest.
Alopecia Areata Androgenetic Alopecia Follicular Unit United States Food and Drug Administration Dickkopf homolog 1 sonic hedgehog vascular endothelial growth factor transforming growth factor-beta matrix metalloproteinase extracellular signal-regulated protein kinase Janus-activated kinase protopanaxadiol protopanaxatriol compound K ultraviolet radiation reactive oxygen species linoleic acid β-sitosterol testosterone human hair-follicle dermal papillary cells red-ginseng extract hair follicle dermal papilla cells Gintonin-enriched fraction Korean Red Ginseng Dermal papillary cells NK group 2D-positive UL16-binding protein 3 glioma-associated oncogene homolog cluster of differentiation 8-positive interleukins interferons outer root sheath Signal transducer and activator of transcription-3 Wingless-type integration-site Gintonin-enriched fraction
According to the World Health Organization (WHO), foodborne illnesses are defined as diseases of infectious or toxic nature caused by consumption of contaminated foods or water. The main causes of foodborne illness are viruses, bacteria, parasites, toxins, metals, and prions where bacteria constitute 66% of the problems [1].
Nowadays,
Several microbiological techniques such as conventional culturing, PCR, and ELISA are still considered the oldest and the most accurate approach for bacteria detection. These techniques need traditional sample preparation, though very efficient in extracting the target analyte, which is time-consuming and produces large amount of solvent wastes. Among the various techniques, electrochemical impedance spectroscopy technique and surface plasmon resonance imaging have previously been investigated to study the detection of Pathogenic Bacteria on gold [11]. These two techniques offer several advantages: First, they are label-free and direct detection method for biomolecular interactions because the measurements are based on small electric signal and very large range of frequency (100 mHz–100 kHz) and refractive index changes [12, 13, 14]. The analyte does not require any special characteristics (scattering bands) or labels (radioactive or fluorescent) and can be detected directly without the need for multistep detection protocols (sandwich assay). Second, the measurements can be performed in real time, allowing the user to collect kinetic data, as well as thermodynamic data.
In this contribution, an innovative way for sensitive detection of
There are many different types (strains) of
In 1982, Riley LW et al. and colleagues were the first to recognize the EHEC serotype O157:H7 as a human pathogen associated with outbreaks of bloody diarrhea in Oregon and Michigan, USA [16]. Since then,
Virulent strains of
Interdigitated microelectrodes were provided by the Microelectronics Institute of Barcelona, National Microelectronics Centre (IMB-CNM), Spain. The different steps of the fabrication of the gold interdigitated electrodes were extensively characterized as described in Ref. [17]. The electrode consists in 3 mm × 3 mm square arrays, which consist of 108 fingers 10 μm wide, separated 10 μm from the nearest band (Figure 2A). Before modification, the gold microelectrodes were first cleaned in ethanol solution and then electrochemically activated in 0.5 M NaNO3 solution by applying a series of potential pulses from 0 to −2 V vs. Ag/AgCl (3 M KCl). After that, a cyclic voltammetry in 1 mM potassium ferrocyanide [K4Fe(CN)6] was applied to check the degree of activation of the microelectrodes.
(A) The actual planar interdigital electrode impedance sensors. (B) Schematic representation of physisorption of IgG anti-
The pre-treated working microelectrodes were immersed in 100 μL goat polyclonal IgG anti-
All electrochemical measurements were performed with a three-electrode configuration using a Pt foil counter electrode, an Ag/AgCl reference electrode, and a modified gold μ-electrodes as a work electrode.
The impedance analysis was performed with a CHI604E Electrochemical Instrumentation (CH Instruments, Inc) in the frequency range of 0.1–100 kHz, using a modulation voltage of 10 mV in sterile PBS buffer.
John Mitchell [18] has been successfully explaining the physical principles of surface plasmon resonance. The SPR is an optoelectronic phenomenon that occurs when a photon of light is incident upon a noble metal surface such as gold or silver. When the wavelength of the photon equals the resonance wavelength of the metal, then the photon couples with the surface and induces the electrons in the metal surface to move as a single electrical entity called a plasmon. This oscillation of electrons sets up an electromagnetic field that exponentially decays out from the metal surface, with significant electrical field strength typically occurring within 300 nm of the surface. When molecules with sufficient mass bind to the surface within the range of the electric field, they perturb the plasmon and change the resonance wavelength. When dealing with a fixed planar surface, this is seen as a shift in the resonance angle of the incoming photons.
In this work, the surface plasmon resonance imaging system was from GWC technologies (USA). The system is based on Charge-Couple Device (CCD) camera which can simultaneously capture all data for all the gold spots and converts the reflectivity changes to pixels data. The sensor surface was an array format with 16 gold spots (each gold spot has a surface of 0.004 cm2) deposited on glass substrate. An incident beam of excitation wavelength of 850 nm was used. At resonance condition, the variation of the reflected light was due to the refractive index variation of the external dielectric medium or immobilized thin layer. The noise of such system is equal to 0.5 pixel (Figure 3).
Schematic representation of the SPR imaging system.
Physisorption is defined as weak electrostatic interactions including Van Der Waals interactions, dipole-dipole, and London forces. This physical interaction resulting from nonspecific was forming on substrate have energy range from 0.2 to 4 kJ/mol. The binding energy depends on the polarizability and on the number of atoms involved of the molecules. It takes place on all surfaces provided that temperature and pressure conditions are favorable.
Random physisorption is the easiest and fastest strategy for biomolecule immobilization onto substrates. Mainly, physisorption does not depend on multistep, long experimental procedures and is easily reversed [19]. In addition, physisorbed phages have been described to promote bacteria-specific capture, infection, and lysis, when monitored by SPR [20, 21]. This work was carried using physisorption functionalization based on its simplicity. First, the gold microelectrodes were modificated with anti-
The rapid and specific detection of Pathogenic Bacteria has become an increasingly demanding field in recent years for ensuring the safety of human health. EIS is a sensitive technique, which monitors the electrical response of the system studied after the application of a periodic small amplitude AC signal [22]. With this aim, the gold microelectrode surface and antibody coverage are of high importance for ensuring high reactivity and stability of the immunosensor.
The typical response of electrochemical impedance spectra of gold, “gold/Antibody /BSA” interfaces was illustrated in Figure 4(I). The curve shows the typical Nyquist plots presented as a combination of the real, Zre, and imaginary, Zim, components originating mainly from the resistance and capacitance of the cell, respectively. The impedance spectra corresponding to each step were fitted with computer-simulated spectra using Randles circuit in Figure 4(II) by Zview modeling program (Scriber and Associates, Charlottesville, VA).
(I) [A] Nyquist impedance plots for gold microelectrode and [B] Nyquist impedance plots after physisorption of anti-
This equivalent circuit includes the ohmic resistance of the electrolyte solution, Rs, at 100 kHz; the Warburg impedance, Zw, from the diffusion; the constant phase element, CPE, which was introduced into the circuit instead of a capacitance in order to depict the nonhomogeneous quality of the deposited layer, respectively [23, 24]; and the charge transfer resistance, Rct. The constant phase element impedance (CPE) was introduced into the circuit instead of a capacitance:
where
In the last few years, surface plasmon resonance was used as a sensitive method and as a label-free detection method for biomolecular interactions.
The immunosensing protocols exposing sensor surface to the PBS buffer as the baseline, followed by injecting anti-
SPRi signal versus time for anti-
Although chicken is the most consumed meat in the world and is one of the most important sources of good-quality proteins, it is highly susceptible to microbial contamination and often implicated in foodborne disease. Epidemiological reports suggest that poultry meat is still the primary cause of human food poisoning [25]. According to Osman Albarri (2017) [26], in turkey the highest percentage (93.75%) of
With this aim, two samples of fresh chicken meat were kept in freezers at −18°C during 45 days [27]. The first sample (S1) was inoculated with
Figure 6 shows Nyquist plots for gold microelectrode (curve A), gold electrode with immobilized anti-
[A] Nyquist impedance plots for gold microelectrode, [B] nyquist impedance plots for gold microelectrode with anti-
Parameters | Gold microelectrode | BSA/anti- | Sample S2 | Sample S1 |
---|---|---|---|---|
Capacitance, CPE (F) n Resistance, Rs (Ω) Resistance, Rct (Ω) Warburg, ZW (Ω) | 8.34E-7 0.93 110 1.43E5 45,364 | 7.464E-7 0.86 74.74 1.225E6 1452 | 5.76E-7 0.88 70.7 4.68E6 132 | 5.128E-7 0.9 71 5.01E6 120 |
The electrical parameters of Randle’s circuit.
It is obvious that the chicken was initially contaminated by the
In this work, we describe an approach of detecting of
This work is funded by the Science for Peace and Security Program of the North Atlantic Treaty Organization (NATO) under grant no. SFP G5571. The authors dedicate this work to the memory of Mr. Naoufel Gaouar, Associate Professor at the National Institute of Applied Science and Technology (INSAT, Tunisia) who died on March 8, 2020.
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Saleh and Amal I. Hassan",coverURL:"https://cdn.intechopen.com/books/images_new/11120.jpg",editedByType:"Edited by",publishedDate:"June 23rd 2022",editors:[{id:"144691",title:"Prof.",name:"Hosam M.",middleName:null,surname:"Saleh",slug:"hosam-m.-saleh",fullName:"Hosam M. Saleh"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"10696",title:"Applications of Calorimetry",subtitle:null,isOpenForSubmission:!1,hash:"8c87f7e2199db33b5dd7181f56973a97",slug:"applications-of-calorimetry",bookSignature:"José Luis Rivera Armenta and Cynthia Graciela Flores Hernández",coverURL:"https://cdn.intechopen.com/books/images_new/10696.jpg",editedByType:"Edited by",publishedDate:"June 23rd 2022",editors:[{id:"107855",title:"Dr.",name:"Jose Luis",middleName:null,surname:"Rivera Armenta",slug:"jose-luis-rivera-armenta",fullName:"Jose Luis Rivera Armenta"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}}]},subject:{topic:{id:"373",title:"Plant Ecology",slug:"plant-ecology",parent:{id:"41",title:"Plant Biology",slug:"agricultural-and-biological-sciences-plant-biology"},numberOfBooks:4,numberOfSeries:0,numberOfAuthorsAndEditors:126,numberOfWosCitations:211,numberOfCrossrefCitations:143,numberOfDimensionsCitations:325,videoUrl:null,fallbackUrl:null,description:null},booksByTopicFilter:{topicId:"373",sort:"-publishedDate",limit:12,offset:0},booksByTopicCollection:[{type:"book",id:"10777",title:"Plant Reproductive Ecology",subtitle:"Recent Advances",isOpenForSubmission:!1,hash:"3fbf391f2093649bcf3bd674f7e32189",slug:"plant-reproductive-ecology-recent-advances",bookSignature:"Anjana Rustagi and Bharti Chaudhry",coverURL:"https://cdn.intechopen.com/books/images_new/10777.jpg",editedByType:"Edited by",editors:[{id:"352604",title:null,name:"Anjana",middleName:null,surname:"Rustagi",slug:"anjana-rustagi",fullName:"Anjana Rustagi"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"6308",title:"Cassava",subtitle:null,isOpenForSubmission:!1,hash:"da8363274dca1c87f27e55966728f14a",slug:"cassava",bookSignature:"Viduranga Waisundara",coverURL:"https://cdn.intechopen.com/books/images_new/6308.jpg",editedByType:"Edited by",editors:[{id:"194281",title:"Dr.",name:"Viduranga Y.",middleName:null,surname:"Waisundara",slug:"viduranga-y.-waisundara",fullName:"Viduranga Y. 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Issa, Mohamed Hemida Abd-Alla and Takuji Ohyama",authors:[{id:"169170",title:"Dr.",name:"Ahmed",middleName:null,surname:"Abdel-Salam Issa",slug:"ahmed-abdel-salam-issa",fullName:"Ahmed Abdel-Salam Issa"}]},{id:"45747",doi:"10.5772/56997",title:"Impact of Harsh Environmental Conditions on Nodule Formation and Dinitrogen Fixation of Legumes",slug:"impact-of-harsh-environmental-conditions-on-nodule-formation-and-dinitrogen-fixation-of-legumes",totalDownloads:4085,totalCrossrefCites:11,totalDimensionsCites:30,abstract:null,book:{id:"3806",slug:"advances-in-biology-and-ecology-of-nitrogen-fixation",title:"Advances in Biology and Ecology of Nitrogen Fixation",fullTitle:"Advances in Biology and Ecology of Nitrogen Fixation"},signatures:"Mohamed Hemida Abd-Alla, Ahmed A. Issa and Takuji Ohyama",authors:[{id:"169170",title:"Dr.",name:"Ahmed",middleName:null,surname:"Abdel-Salam Issa",slug:"ahmed-abdel-salam-issa",fullName:"Ahmed Abdel-Salam Issa"},{id:"30061",title:"Prof.",name:"Takuji",middleName:null,surname:"Ohyama",slug:"takuji-ohyama",fullName:"Takuji Ohyama"},{id:"169172",title:"Dr.",name:"Mohamed",middleName:null,surname:"Hemida Abd-Alla",slug:"mohamed-hemida-abd-alla",fullName:"Mohamed Hemida Abd-Alla"}]},{id:"46070",doi:"10.5772/57532",title:"Nitrogen Fixation Outside and Inside Plant Tissues",slug:"nitrogen-fixation-outside-and-inside-plant-tissues",totalDownloads:4406,totalCrossrefCites:13,totalDimensionsCites:26,abstract:null,book:{id:"3806",slug:"advances-in-biology-and-ecology-of-nitrogen-fixation",title:"Advances in Biology and Ecology of Nitrogen Fixation",fullTitle:"Advances in Biology and Ecology of Nitrogen Fixation"},signatures:"C.P. Chanway, R. Anand and H. Yang",authors:[{id:"170155",title:"Dr.",name:"Chris",middleName:null,surname:"Chanway",slug:"chris-chanway",fullName:"Chris Chanway"},{id:"170596",title:"Dr.",name:"Richa",middleName:null,surname:"Anand",slug:"richa-anand",fullName:"Richa Anand"},{id:"170597",title:"Mr.",name:"Henry",middleName:null,surname:"Yang",slug:"henry-yang",fullName:"Henry Yang"}]},{id:"33929",doi:"10.5772/33479",title:"Magnaporthe oryzae Genetic Diversity and Its Outcomes on the Search for Durable Resistance",slug:"magnaporthe-oryzae-genetic-diversity-and-its-outcomes-on-the-search-for-durable-resistance",totalDownloads:3620,totalCrossrefCites:3,totalDimensionsCites:19,abstract:null,book:{id:"2251",slug:"the-molecular-basis-of-plant-genetic-diversity",title:"The Molecular Basis of Plant Genetic Diversity",fullTitle:"The Molecular Basis of Plant Genetic Diversity"},signatures:"Klaus Konrad Scheuermann, Juliana Vieira Raimondi, Rubens Marschalek, Alexander de Andrade and Ester Wickert",authors:[{id:"95754",title:"Dr.",name:"Ester",middleName:null,surname:"Wickert",slug:"ester-wickert",fullName:"Ester Wickert"},{id:"137579",title:"Dr.",name:"Klaus",middleName:null,surname:"Konrad Scheuermann",slug:"klaus-konrad-scheuermann",fullName:"Klaus Konrad Scheuermann"},{id:"137581",title:"MSc.",name:"Juliana",middleName:null,surname:"Vieira Raimondi",slug:"juliana-vieira-raimondi",fullName:"Juliana Vieira Raimondi"},{id:"137584",title:"Dr.",name:"Alexander",middleName:null,surname:"De Andrade",slug:"alexander-de-andrade",fullName:"Alexander De Andrade"},{id:"137585",title:"Dr.",name:"Rubens",middleName:null,surname:"Marschalek",slug:"rubens-marschalek",fullName:"Rubens Marschalek"}]},{id:"46073",doi:"10.5772/56991",title:"Systemic Regulation of Root Nodule Formation",slug:"systemic-regulation-of-root-nodule-formation",totalDownloads:2648,totalCrossrefCites:7,totalDimensionsCites:15,abstract:null,book:{id:"3806",slug:"advances-in-biology-and-ecology-of-nitrogen-fixation",title:"Advances in Biology and Ecology of Nitrogen Fixation",fullTitle:"Advances in Biology and Ecology of Nitrogen Fixation"},signatures:"Takashi Soyano and Masayoshi Kawaguchi",authors:[{id:"169168",title:"Dr.",name:"Masayoshi",middleName:null,surname:"Kawaguchi",slug:"masayoshi-kawaguchi",fullName:"Masayoshi Kawaguchi"}]}],mostDownloadedChaptersLast30Days:[{id:"57031",title:"Ecophysiology and Production Principles of Cassava (Manihot species) in Southeastern Nigeria",slug:"ecophysiology-and-production-principles-of-cassava-manihot-species-in-southeastern-nigeria",totalDownloads:2109,totalCrossrefCites:3,totalDimensionsCites:6,abstract:"Cassava (Manihot species) is a crop of the humid tropics that belongs to the family Euphorbiaceae. Cultivated forms belong to the species “Manihot esculenta Crantz” and “Manihot utilissima Pohl.” Africa produces about 50–80 million tonnes of cassava annually; this translates into an average of more than 300 calories per day for more than 200 million people. Cassava can grow on relatively marginal soils and erratic rainfall conditions in southeastern, Nigeria. It quickly adapts and integrates into the traditional farming system, is easy to cultivate and process and it is available all year round acting as a buffer against crop failure. These characteristics make this root crop a necessary component of the farming system in many areas of Africa south of the Sahara. Some of the principal recommended cultivated varieties in Nigeria include; TME 419, TMS 90257, TMS 91934, TMS 81/00110, TMS 82/00661, TMS 30001, TMS 30555, TMS 30572 and local cultivars—Nwugo, Nwaiwa, Ekpe and Okotorowa that are popular in southeastern Nigeria. Cassava is expected to play increased role in Africa’s struggle to attain food and nutrition security through increased production and utilization. This paper examines the ecophysiology, production principles, pest and disease management, uses and constraint hampering cassava production in southeast Nigeria.",book:{id:"6308",slug:"cassava",title:"Cassava",fullTitle:"Cassava"},signatures:"Martin A.N. Anikwe and Ejike E. Ikenganyia",authors:[{id:"28328",title:"Prof.",name:"Martin",middleName:null,surname:"Anikwe",slug:"martin-anikwe",fullName:"Martin Anikwe"},{id:"220543",title:"MSc.",name:"Ejike",middleName:null,surname:"Ikenganyia",slug:"ejike-ikenganyia",fullName:"Ejike Ikenganyia"}]},{id:"57918",title:"Review of Various Harvesting Options for Cassava",slug:"review-of-various-harvesting-options-for-cassava",totalDownloads:3215,totalCrossrefCites:1,totalDimensionsCites:1,abstract:"Harvesting plays a critical role in the cassava production value chain. A review of some existing cassava harvesting options is necessary to facilitate the proper adaption and uptake of improved harvesting methods applicable to farmers from different parts of the globe. In terms of capacity, manual, semi-manual and fully mechanised harvesting options respectively require about 22–51 man-hha-1, 16-45 man-hha-1 and 1–4 man-hha-1. An added advantage with mechanised options is that the field is left ploughed after harvesting with savings on fuel, time and cost. Mechanised harvesters work best on ridged fields with minimal trash or weeds and relatively dry soils (12–16% d.b. moisture content). Earlier attempts at mechanised harvesting have been affected by constraints such as soil characteristics, nature and size of tubers, depth and width of cluster and bond between tubers and the soil, leading to high tuber damage. Though less research attention is given to cassava harvesting mechanisation, that aspect of the global cassava transformation agenda has always been the problem. There is still room for improvement in the provision of appropriate harvesting options for cassava worldwide and a more concerted effort from both the government and private sector is vital.",book:{id:"6308",slug:"cassava",title:"Cassava",fullTitle:"Cassava"},signatures:"Shadrack Kwadwo Amponsah, Ahmad Addo and Byju\nGangadharan",authors:[{id:"203117",title:"Dr.",name:"Shadrack",middleName:"Kwadwo",surname:"Amponsah",slug:"shadrack-amponsah",fullName:"Shadrack Amponsah"},{id:"220625",title:"Prof.",name:"Ahmad",middleName:null,surname:"Addo",slug:"ahmad-addo",fullName:"Ahmad Addo"},{id:"220626",title:"Dr.",name:"Gangadharan",middleName:null,surname:"Byju",slug:"gangadharan-byju",fullName:"Gangadharan Byju"}]},{id:"45885",title:"Nitrogen Fixation in Sugarcane",slug:"nitrogen-fixation-in-sugarcane",totalDownloads:4125,totalCrossrefCites:6,totalDimensionsCites:11,abstract:null,book:{id:"3806",slug:"advances-in-biology-and-ecology-of-nitrogen-fixation",title:"Advances in Biology and Ecology of Nitrogen Fixation",fullTitle:"Advances in Biology and Ecology of Nitrogen Fixation"},signatures:"Takuji Ohyama, Atsushi Momose, Norikuni Ohtake, Kuni Sueyoshi,\nTakashi Sato, Yasuhiro Nakanishi, Constancio A. Asis Jr., Soraya\nRuamsungsri and Shotaro Ando",authors:[{id:"30061",title:"Prof.",name:"Takuji",middleName:null,surname:"Ohyama",slug:"takuji-ohyama",fullName:"Takuji Ohyama"}]},{id:"56558",title:"Introductory Chapter: Cassava as a Staple Food",slug:"introductory-chapter-cassava-as-a-staple-food",totalDownloads:2091,totalCrossrefCites:7,totalDimensionsCites:7,abstract:null,book:{id:"6308",slug:"cassava",title:"Cassava",fullTitle:"Cassava"},signatures:"Viduranga Y. Waisundara",authors:[{id:"194281",title:"Dr.",name:"Viduranga Y.",middleName:null,surname:"Waisundara",slug:"viduranga-y.-waisundara",fullName:"Viduranga Y. Waisundara"}]},{id:"46074",title:"Effects of Rhizobium Inoculation on Nitrogen Fixation and Growth of Leguminous Green Manure Crop Hairy Vetch (Vicia villosa Roth)",slug:"effects-of-rhizobium-inoculation-on-nitrogen-fixation-and-growth-of-leguminous-green-manure-crop-hai",totalDownloads:3162,totalCrossrefCites:1,totalDimensionsCites:2,abstract:null,book:{id:"3806",slug:"advances-in-biology-and-ecology-of-nitrogen-fixation",title:"Advances in Biology and Ecology of Nitrogen Fixation",fullTitle:"Advances in Biology and Ecology of Nitrogen Fixation"},signatures:"Takashi Sato",authors:[{id:"41434",title:"Dr.",name:"Takashi",middleName:null,surname:"Sato",slug:"takashi-sato",fullName:"Takashi Sato"}]}],onlineFirstChaptersFilter:{topicId:"373",limit:6,offset:0},onlineFirstChaptersCollection:[{id:"81798",title:"Protein Metabolism in Plants to Survive against Abiotic Stress",slug:"protein-metabolism-in-plants-to-survive-against-abiotic-stress",totalDownloads:29,totalDimensionsCites:0,doi:"10.5772/intechopen.102995",abstract:"Plants are frequently subjected to several abiotic environmental stresses under natural conditions causing profound impacts on agricultural yield and quality. Plants can themselves develop a wide variety of efficient mechanisms to respond environmental challenges. Tolerance and acclimation of plants are always related to significant changes in protein, cellular localization, posttranscription, and posttranslational modifications. Protein response pathways as well as pathways unique to a given stress condition shared by plants under different stressed environment are discussed in this chapter. The various signaling of protein such as fluctuation, overexpression, and silencing of the protein gene are observed to be modulated in drought-tolerant plants. Similarly, gene expression, RNA processing, and metabolic process take place to cope with drought conditions. For adaption in water-submerged conditions, plants undergo reactive oxygen species (ROS), cell wall modification, proteolysis, and post-recovery protein metabolism. Heat shock protein and protein and lipid contents vary and play pivotal role in resisting low and high temperatures. In a nutshell, this paper provides an overview of several modification, synthesis, degradation, and metabolism of protein in plants to cope with and revive again to normal growing conditions against abiotic stress, emphasizing drought, submerged, extreme cold, and heat temperatures.",book:{id:"10905",title:"Plant Defense Mechanisms",coverURL:"https://cdn.intechopen.com/books/images_new/10905.jpg"},signatures:"Bharti Thapa and Abhisek Shrestha"},{id:"80923",title:"Salt Stress Tolerance in Rice and Wheat: Physiological and Molecular Mechanism",slug:"salt-stress-tolerance-in-rice-and-wheat-physiological-and-molecular-mechanism",totalDownloads:70,totalDimensionsCites:0,doi:"10.5772/intechopen.101529",abstract:"Salinity is a major obstacle to global grain crop production, especially rice and wheat. The identification and improvement of salt-tolerant rice and wheat depending upon the genetic diversity and salt stress response could be a promising solution to deal with soil salinity and the increasing food demands. Plant responses to salt stress occur at the organismic, cellular, and molecular levels and the salt stress tolerance in those crop plant involving (1) regulation of ionic homeostasis, (2) maintenance of osmotic potential, (3) ROS scavenging and antioxidant enzymes activity, and (4) plant hormonal regulation. In this chapter, we summarize the recent research progress on these four aspects of plant morpho-physiological and molecular response, with particular attention to ionic, osmolytic, enzymatic, hormonal and gene expression regulation in rice and wheat plants. Moreover, epigenetic diversity could emerge as novel of phenotypic variations to enhance plant adaptation to an adverse environmental conditions and develop stable stress-resilient crops. The information summarized here will be useful for accelerating the breeding of salt-tolerant rice. This information may help in studies to reveal the mechanism of plant salt tolerance, screen high efficiency and quality salt tolerance in crops.",book:{id:"10905",title:"Plant Defense Mechanisms",coverURL:"https://cdn.intechopen.com/books/images_new/10905.jpg"},signatures:"Mohammad Hasanuzzaman"},{id:"80091",title:"Molecular Defense Mechanisms in Plants to Tolerate Toxic Action of Heavy Metal Environmental Pollution",slug:"molecular-defense-mechanisms-in-plants-to-tolerate-toxic-action-of-heavy-metal-environmental-polluti",totalDownloads:26,totalDimensionsCites:0,doi:"10.5772/intechopen.102330",abstract:"Toxic action of heavy metals on plants growing in contaminated soils intensified the research on detoxification and sequestering mechanisms existing in plants to understand and manipulate defense mechanisms that confer tolerance against metal ions. Increased biosynthesis of plant biomolecules to confer tolerance during toxic action of heavy metals is an intrinsic ability of plants. Induced formation of low-molecular weight amino acids, peptides or proteines as chelators such as proline (Pro), glutathione (GSH), phytochelatins (PCs) or metallothioneins (MTs) under heavy metal stress enhances metal binding and detoxification capability of plants. In addition, proline and GSH related enzymes such as GSH reductase, GSH peroxidases and glutathione S-transferases are also key components of the antioxidant defense system in the cells to scavenge reactive oxygen species (ROS). Protective action of oxidized fatty acids oxylipins at toxic levels of heavy metals is considered to activate detoxification processes as signaling molecules.",book:{id:"10905",title:"Plant Defense Mechanisms",coverURL:"https://cdn.intechopen.com/books/images_new/10905.jpg"},signatures:"Istvan Jablonkai"},{id:"80723",title:"Intra-Annual Variation in Leaf Anatomical Traits of an Overwintering Shrub of High Elevations of Himalaya",slug:"intra-annual-variation-in-leaf-anatomical-traits-of-an-overwintering-shrub-of-high-elevations-of-him",totalDownloads:34,totalDimensionsCites:0,doi:"10.5772/intechopen.102016",abstract:"Trait variability in response to seasonal variations can be hypothesised as an advantageous strategy for overwintering shrubs. This hypothesis was tested by elucidating patterns of trait variation in an evergreen alpine shrub, Rhododendron anthopogon D. Don. The study site was established at Rohtang (3990 m a.s.l.) in western Himalaya. Its leaves were sampled at 10 time points spanning a period of 1 year (beginning from 22-August-2017 to 14-August-2018) for estimating anatomical traits using light and scanning electron microscopy. The data were analysed using one-way analysis of variance, and the trait-temperature relationships were analysed using linear regression. The results indicated a lower variability in the anatomical traits. A few traits (e.g. cuticle thickness and epidermal scales) were found to be significantly correlated with temperature (p < 0.05). Our analysis revealed increase in cuticle thickness and a decrease in epidermal scales (size) during low-temperature conditions. The lesser variability found in anatomical traits of overwintering shrub could be explained as ‘evolutionary gained adaptive traits’.",book:{id:"10905",title:"Plant Defense Mechanisms",coverURL:"https://cdn.intechopen.com/books/images_new/10905.jpg"},signatures:"Nikita Rathore, Dinesh Thakur, Nang Elennie Hopak and Amit Chawla"},{id:"80587",title:"Morpho-Anatomical Adaptation against Salinity",slug:"morpho-anatomical-adaptation-against-salinity",totalDownloads:73,totalDimensionsCites:0,doi:"10.5772/intechopen.101681",abstract:"Plants tolerant of NaCl, implement several adjustments to acclimate to salt stress, such as biochemical, physiological, and morphological modifications. Besides, plants also adjust to saline circumstances by altering their anatomical structure of roots, leaves, and morphological modifications. The leaf and roots are among the essential plant organs and are involved in the transport of water and minerals used for photosynthesis. From a plant physiology perspective, water use efficiency in the quantity of CO2 fixed in photosynthesis compared to the leaf anatomy. In this review, we provide a comparative account of the morphology of the leaf and root under normal and salt stress circumstances. There is little information on the ultrastructure changes elicited in response to salt stress. The analysis expands our knowledge of how salt may impact the leaves and root anatomy.",book:{id:"10905",title:"Plant Defense Mechanisms",coverURL:"https://cdn.intechopen.com/books/images_new/10905.jpg"},signatures:"Smita Srivastava"},{id:"80201",title:"Nutrients Deficit and Water Stress in Plants: New Concept Solutions Using Olive Solid Waste",slug:"nutrients-deficit-and-water-stress-in-plants-new-concept-solutions-using-olive-solid-waste",totalDownloads:81,totalDimensionsCites:0,doi:"10.5772/intechopen.101523",abstract:"Great efforts were deployed by researchers to mobilize water resources while is becoming rarer and to control with efficiency the water besides nutrient needs for the plant. Autonomous water and nutritional anti-stress device for plants (AWANASD) based on the recovery of rainwater patented by Medhioub et al. fits into this general framework. Scientific efforts were also dedicated to preserve the environment and minimize energy consumption through using agricultural waste materials in different fields. This chapter provides a new concept based on the use of the olive solid waste in AWANASD as water storage and nutrient elements for plants giving rise to the new system called AWANASD-OSW.",book:{id:"10905",title:"Plant Defense Mechanisms",coverURL:"https://cdn.intechopen.com/books/images_new/10905.jpg"},signatures:"Samir Medhioub, Slah Bouraoui, Ali Ellouze and Hassen Sabeur"}],onlineFirstChaptersTotal:9},preDownload:{success:null,errors:{}},subscriptionForm:{success:null,errors:{}},aboutIntechopen:{},privacyPolicy:{},peerReviewing:{},howOpenAccessPublishingWithIntechopenWorks:{},sponsorshipBooks:{sponsorshipBooks:[],offset:8,limit:8,total:0},allSeries:{pteSeriesList:[{id:"14",title:"Artificial Intelligence",numberOfPublishedBooks:9,numberOfPublishedChapters:89,numberOfOpenTopics:6,numberOfUpcomingTopics:0,issn:"2633-1403",doi:"10.5772/intechopen.79920",isOpenForSubmission:!0},{id:"7",title:"Biomedical Engineering",numberOfPublishedBooks:12,numberOfPublishedChapters:104,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2631-5343",doi:"10.5772/intechopen.71985",isOpenForSubmission:!0}],lsSeriesList:[{id:"11",title:"Biochemistry",numberOfPublishedBooks:31,numberOfPublishedChapters:314,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2632-0983",doi:"10.5772/intechopen.72877",isOpenForSubmission:!0},{id:"25",title:"Environmental Sciences",numberOfPublishedBooks:1,numberOfPublishedChapters:11,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2754-6713",doi:"10.5772/intechopen.100362",isOpenForSubmission:!0},{id:"10",title:"Physiology",numberOfPublishedBooks:11,numberOfPublishedChapters:141,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2631-8261",doi:"10.5772/intechopen.72796",isOpenForSubmission:!0}],hsSeriesList:[{id:"3",title:"Dentistry",numberOfPublishedBooks:8,numberOfPublishedChapters:129,numberOfOpenTopics:2,numberOfUpcomingTopics:0,issn:"2631-6218",doi:"10.5772/intechopen.71199",isOpenForSubmission:!0},{id:"6",title:"Infectious Diseases",numberOfPublishedBooks:13,numberOfPublishedChapters:113,numberOfOpenTopics:3,numberOfUpcomingTopics:1,issn:"2631-6188",doi:"10.5772/intechopen.71852",isOpenForSubmission:!0},{id:"13",title:"Veterinary Medicine and Science",numberOfPublishedBooks:11,numberOfPublishedChapters:105,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2632-0517",doi:"10.5772/intechopen.73681",isOpenForSubmission:!0}],sshSeriesList:[{id:"22",title:"Business, Management and Economics",numberOfPublishedBooks:1,numberOfPublishedChapters:18,numberOfOpenTopics:2,numberOfUpcomingTopics:1,issn:"2753-894X",doi:"10.5772/intechopen.100359",isOpenForSubmission:!0},{id:"23",title:"Education and Human Development",numberOfPublishedBooks:0,numberOfPublishedChapters:5,numberOfOpenTopics:1,numberOfUpcomingTopics:1,issn:null,doi:"10.5772/intechopen.100360",isOpenForSubmission:!0},{id:"24",title:"Sustainable Development",numberOfPublishedBooks:0,numberOfPublishedChapters:14,numberOfOpenTopics:5,numberOfUpcomingTopics:0,issn:null,doi:"10.5772/intechopen.100361",isOpenForSubmission:!0}],testimonialsList:[{id:"6",text:"It is great to work with the IntechOpen to produce a worthwhile collection of research that also becomes a great educational resource and guide for future research endeavors.",author:{id:"259298",name:"Edward",surname:"Narayan",institutionString:null,profilePictureURL:"https://mts.intechopen.com/storage/users/259298/images/system/259298.jpeg",slug:"edward-narayan",institution:{id:"3",name:"University of Queensland",country:{id:null,name:"Australia"}}}},{id:"13",text:"The collaboration with and support of the technical staff of IntechOpen is fantastic. The whole process of submitting an article and editing of the submitted article goes extremely smooth and fast, the number of reads and downloads of chapters is high, and the contributions are also frequently cited.",author:{id:"55578",name:"Antonio",surname:"Jurado-Navas",institutionString:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRisIQAS/Profile_Picture_1626166543950",slug:"antonio-jurado-navas",institution:{id:"720",name:"University of Malaga",country:{id:null,name:"Spain"}}}}]},series:{item:{id:"14",title:"Artificial Intelligence",doi:"10.5772/intechopen.79920",issn:"2633-1403",scope:"Artificial Intelligence (AI) is a rapidly developing multidisciplinary research area that aims to solve increasingly complex problems. In today's highly integrated world, AI promises to become a robust and powerful means for obtaining solutions to previously unsolvable problems. This Series is intended for researchers and students alike interested in this fascinating field and its many applications.",coverUrl:"https://cdn.intechopen.com/series/covers/14.jpg",latestPublicationDate:"June 11th, 2022",hasOnlineFirst:!0,numberOfPublishedBooks:9,editor:{id:"218714",title:"Prof.",name:"Andries",middleName:null,surname:"Engelbrecht",slug:"andries-engelbrecht",fullName:"Andries Engelbrecht",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRNR8QAO/Profile_Picture_1622640468300",biography:"Andries Engelbrecht received the Masters and PhD degrees in Computer Science from the University of Stellenbosch, South Africa, in 1994 and 1999 respectively. He is currently appointed as the Voigt Chair in Data Science in the Department of Industrial Engineering, with a joint appointment as Professor in the Computer Science Division, Stellenbosch University. Prior to his appointment at Stellenbosch University, he has been at the University of Pretoria, Department of Computer Science (1998-2018), where he was appointed as South Africa Research Chair in Artifical Intelligence (2007-2018), the head of the Department of Computer Science (2008-2017), and Director of the Institute for Big Data and Data Science (2017-2018). In addition to a number of research articles, he has written two books, Computational Intelligence: An Introduction and Fundamentals of Computational Swarm Intelligence.",institutionString:null,institution:{name:"Stellenbosch University",institutionURL:null,country:{name:"South Africa"}}},editorTwo:null,editorThree:null},subseries:{paginationCount:6,paginationItems:[{id:"22",title:"Applied Intelligence",coverUrl:"https://cdn.intechopen.com/series_topics/covers/22.jpg",isOpenForSubmission:!0,editor:{id:"27170",title:"Prof.",name:"Carlos",middleName:"M.",surname:"Travieso-Gonzalez",slug:"carlos-travieso-gonzalez",fullName:"Carlos Travieso-Gonzalez",profilePictureURL:"https://mts.intechopen.com/storage/users/27170/images/system/27170.jpeg",biography:"Carlos M. Travieso-González received his MSc degree in Telecommunication Engineering at Polytechnic University of Catalonia (UPC), Spain in 1997, and his Ph.D. degree in 2002 at the University of Las Palmas de Gran Canaria (ULPGC-Spain). He is a full professor of signal processing and pattern recognition and is head of the Signals and Communications Department at ULPGC, teaching from 2001 on subjects on signal processing and learning theory. His research lines are biometrics, biomedical signals and images, data mining, classification system, signal and image processing, machine learning, and environmental intelligence. He has researched in 52 international and Spanish research projects, some of them as head researcher. He is co-author of 4 books, co-editor of 27 proceedings books, guest editor for 8 JCR-ISI international journals, and up to 24 book chapters. He has over 450 papers published in international journals and conferences (81 of them indexed on JCR – ISI - Web of Science). He has published seven patents in the Spanish Patent and Trademark Office. He has been a supervisor on 8 Ph.D. theses (11 more are under supervision), and 130 master theses. He is the founder of The IEEE IWOBI conference series and the president of its Steering Committee, as well as the founder of both the InnoEducaTIC and APPIS conference series. He is an evaluator of project proposals for the European Union (H2020), Medical Research Council (MRC, UK), Spanish Government (ANECA, Spain), Research National Agency (ANR, France), DAAD (Germany), Argentinian Government, and the Colombian Institutions. He has been a reviewer in different indexed international journals (<70) and conferences (<250) since 2001. He has been a member of the IASTED Technical Committee on Image Processing from 2007 and a member of the IASTED Technical Committee on Artificial Intelligence and Expert Systems from 2011. \n\nHe has held the general chair position for the following: ACM-APPIS (2020, 2021), IEEE-IWOBI (2019, 2020 and 2020), A PPIS (2018, 2019), IEEE-IWOBI (2014, 2015, 2017, 2018), InnoEducaTIC (2014, 2017), IEEE-INES (2013), NoLISP (2011), JRBP (2012), and IEEE-ICCST (2005)\n\nHe is an associate editor of the Computational Intelligence and Neuroscience Journal (Hindawi – Q2 JCR-ISI). He was vice dean from 2004 to 2010 in the Higher Technical School of Telecommunication Engineers at ULPGC and the vice dean of Graduate and Postgraduate Studies from March 2013 to November 2017. He won the “Catedra Telefonica” Awards in Modality of Knowledge Transfer, 2017, 2018, and 2019 editions, and awards in Modality of COVID Research in 2020.\n\nPublic References:\nResearcher ID http://www.researcherid.com/rid/N-5967-2014\nORCID https://orcid.org/0000-0002-4621-2768 \nScopus Author ID https://www.scopus.com/authid/detail.uri?authorId=6602376272\nScholar Google https://scholar.google.es/citations?user=G1ks9nIAAAAJ&hl=en \nResearchGate https://www.researchgate.net/profile/Carlos_Travieso",institutionString:null,institution:{name:"University of Las Palmas de Gran Canaria",institutionURL:null,country:{name:"Spain"}}},editorTwo:null,editorThree:null},{id:"23",title:"Computational Neuroscience",coverUrl:"https://cdn.intechopen.com/series_topics/covers/23.jpg",isOpenForSubmission:!0,editor:{id:"14004",title:"Dr.",name:"Magnus",middleName:null,surname:"Johnsson",slug:"magnus-johnsson",fullName:"Magnus Johnsson",profilePictureURL:"https://mts.intechopen.com/storage/users/14004/images/system/14004.png",biography:"Dr Magnus Johnsson is a cross-disciplinary scientist, lecturer, scientific editor and AI/machine learning consultant from Sweden. \n\nHe is currently at Malmö University in Sweden, but also held positions at Lund University in Sweden and at Moscow Engineering Physics Institute. \nHe holds editorial positions at several international scientific journals and has served as a scientific editor for books and special journal issues. \nHis research interests are wide and include, but are not limited to, autonomous systems, computer modeling, artificial neural networks, artificial intelligence, cognitive neuroscience, cognitive robotics, cognitive architectures, cognitive aids and the philosophy of mind. \n\nDr. Johnsson has experience from working in the industry and he has a keen interest in the application of neural networks and artificial intelligence to fields like industry, finance, and medicine. \n\nWeb page: www.magnusjohnsson.se",institutionString:null,institution:{name:"Malmö University",institutionURL:null,country:{name:"Sweden"}}},editorTwo:null,editorThree:null},{id:"24",title:"Computer Vision",coverUrl:"https://cdn.intechopen.com/series_topics/covers/24.jpg",isOpenForSubmission:!0,editor:{id:"294154",title:"Prof.",name:"George",middleName:null,surname:"Papakostas",slug:"george-papakostas",fullName:"George Papakostas",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002hYaGbQAK/Profile_Picture_1624519712088",biography:"George A. Papakostas has received a diploma in Electrical and Computer Engineering in 1999 and the M.Sc. and Ph.D. degrees in Electrical and Computer Engineering in 2002 and 2007, respectively, from the Democritus University of Thrace (DUTH), Greece. Dr. Papakostas serves as a Tenured Full Professor at the Department of Computer Science, International Hellenic University, Greece. Dr. Papakostas has 10 years of experience in large-scale systems design as a senior software engineer and technical manager, and 20 years of research experience in the field of Artificial Intelligence. Currently, he is the Head of the “Visual Computing” division of HUman-MAchines INteraction Laboratory (HUMAIN-Lab) and the Director of the MPhil program “Advanced Technologies in Informatics and Computers” hosted by the Department of Computer Science, International Hellenic University. He has (co)authored more than 150 publications in indexed journals, international conferences and book chapters, 1 book (in Greek), 3 edited books, and 5 journal special issues. His publications have more than 2100 citations with h-index 27 (GoogleScholar). His research interests include computer/machine vision, machine learning, pattern recognition, computational intelligence. \nDr. Papakostas served as a reviewer in numerous journals, as a program\ncommittee member in international conferences and he is a member of the IAENG, MIR Labs, EUCogIII, INSTICC and the Technical Chamber of Greece (TEE).",institutionString:null,institution:{name:"International Hellenic University",institutionURL:null,country:{name:"Greece"}}},editorTwo:null,editorThree:null},{id:"25",title:"Evolutionary Computation",coverUrl:"https://cdn.intechopen.com/series_topics/covers/25.jpg",isOpenForSubmission:!0,editor:{id:"136112",title:"Dr.",name:"Sebastian",middleName:null,surname:"Ventura Soto",slug:"sebastian-ventura-soto",fullName:"Sebastian Ventura Soto",profilePictureURL:"https://mts.intechopen.com/storage/users/136112/images/system/136112.png",biography:"Sebastian Ventura is a Spanish researcher, a full professor with the Department of Computer Science and Numerical Analysis, University of Córdoba. Dr Ventura also holds the positions of Affiliated Professor at Virginia Commonwealth University (Richmond, USA) and Distinguished Adjunct Professor at King Abdulaziz University (Jeddah, Saudi Arabia). Additionally, he is deputy director of the Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI) and heads the Knowledge Discovery and Intelligent Systems Research Laboratory. He has published more than ten books and over 300 articles in journals and scientific conferences. Currently, his work has received over 18,000 citations according to Google Scholar, including more than 2200 citations in 2020. In the last five years, he has published more than 60 papers in international journals indexed in the JCR (around 70% of them belonging to first quartile journals) and he has edited some Springer books “Supervised Descriptive Pattern Mining” (2018), “Multiple Instance Learning - Foundations and Algorithms” (2016), and “Pattern Mining with Evolutionary Algorithms” (2016). He has also been involved in more than 20 research projects supported by the Spanish and Andalusian governments and the European Union. He currently belongs to the editorial board of PeerJ Computer Science, Information Fusion and Engineering Applications of Artificial Intelligence journals, being also associate editor of Applied Computational Intelligence and Soft Computing and IEEE Transactions on Cybernetics. Finally, he is editor-in-chief of Progress in Artificial Intelligence. He is a Senior Member of the IEEE Computer, the IEEE Computational Intelligence, and the IEEE Systems, Man, and Cybernetics Societies, and the Association of Computing Machinery (ACM). Finally, his main research interests include data science, computational intelligence, and their applications.",institutionString:null,institution:{name:"University of Córdoba",institutionURL:null,country:{name:"Spain"}}},editorTwo:null,editorThree:null},{id:"26",title:"Machine Learning and Data Mining",coverUrl:"https://cdn.intechopen.com/series_topics/covers/26.jpg",isOpenForSubmission:!0,editor:{id:"24555",title:"Dr.",name:"Marco Antonio",middleName:null,surname:"Aceves Fernandez",slug:"marco-antonio-aceves-fernandez",fullName:"Marco Antonio Aceves Fernandez",profilePictureURL:"https://mts.intechopen.com/storage/users/24555/images/system/24555.jpg",biography:"Dr. Marco Antonio Aceves Fernandez obtained his B.Sc. (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. His research interests include intelligent and embedded systems.",institutionString:"Universidad Autonoma de Queretaro",institution:{name:"Autonomous University of Queretaro",institutionURL:null,country:{name:"Mexico"}}},editorTwo:null,editorThree:null},{id:"27",title:"Multi-Agent Systems",coverUrl:"https://cdn.intechopen.com/series_topics/covers/27.jpg",isOpenForSubmission:!0,editor:{id:"148497",title:"Dr.",name:"Mehmet",middleName:"Emin",surname:"Aydin",slug:"mehmet-aydin",fullName:"Mehmet Aydin",profilePictureURL:"https://mts.intechopen.com/storage/users/148497/images/system/148497.jpg",biography:"Dr. Mehmet Emin Aydin is a Senior Lecturer with the Department of Computer Science and Creative Technology, the University of the West of England, Bristol, UK. His research interests include swarm intelligence, parallel and distributed metaheuristics, machine learning, intelligent agents and multi-agent systems, resource planning, scheduling and optimization, combinatorial optimization. Dr. Aydin is currently a Fellow of Higher Education Academy, UK, a member of EPSRC College, a senior member of IEEE and a senior member of ACM. In addition to being a member of advisory committees of many international conferences, he is an Editorial Board Member of various peer-reviewed international journals. He has served as guest editor for a number of special issues of peer-reviewed international journals.",institutionString:null,institution:{name:"University of the West of England",institutionURL:null,country:{name:"United Kingdom"}}},editorTwo:null,editorThree:null}]},overviewPageOFChapters:{paginationCount:19,paginationItems:[{id:"82196",title:"Multi-Features Assisted Age Invariant Face Recognition and Retrieval Using CNN with Scale Invariant Heat Kernel Signature",doi:"10.5772/intechopen.104944",signatures:"Kamarajugadda Kishore Kumar and Movva Pavani",slug:"multi-features-assisted-age-invariant-face-recognition-and-retrieval-using-cnn-with-scale-invariant-",totalDownloads:6,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:"82063",title:"Evaluating Similarities and Differences between Machine Learning and Traditional Statistical Modeling in Healthcare Analytics",doi:"10.5772/intechopen.105116",signatures:"Michele Bennett, Ewa J. Kleczyk, Karin Hayes and Rajesh Mehta",slug:"evaluating-similarities-and-differences-between-machine-learning-and-traditional-statistical-modelin",totalDownloads:6,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Machine Learning and Data Mining - Annual Volume 2022",coverURL:"https://cdn.intechopen.com/books/images_new/11422.jpg",subseries:{id:"26",title:"Machine Learning and Data Mining"}}},{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:24,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:8,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"}}}]},overviewPagePublishedBooks:{paginationCount:9,paginationItems:[{type:"book",id:"7723",title:"Artificial Intelligence",subtitle:"Applications in Medicine and Biology",coverURL:"https://cdn.intechopen.com/books/images_new/7723.jpg",slug:"artificial-intelligence-applications-in-medicine-and-biology",publishedDate:"July 31st 2019",editedByType:"Edited by",bookSignature:"Marco Antonio Aceves-Fernandez",hash:"a3852659e727f95c98c740ed98146011",volumeInSeries:1,fullTitle:"Artificial Intelligence - Applications in Medicine and Biology",editors:[{id:"24555",title:"Dr.",name:"Marco Antonio",middleName:null,surname:"Aceves Fernandez",slug:"marco-antonio-aceves-fernandez",fullName:"Marco Antonio Aceves Fernandez",profilePictureURL:"https://mts.intechopen.com/storage/users/24555/images/system/24555.jpg",biography:"Dr. Marco Antonio Aceves Fernandez obtained his B.Sc. (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. His research interests include intelligent and embedded systems.",institutionString:"Universidad Autonoma de Queretaro",institution:{name:"Autonomous University of Queretaro",institutionURL:null,country:{name:"Mexico"}}}]},{type:"book",id:"7726",title:"Swarm Intelligence",subtitle:"Recent Advances, New Perspectives and Applications",coverURL:"https://cdn.intechopen.com/books/images_new/7726.jpg",slug:"swarm-intelligence-recent-advances-new-perspectives-and-applications",publishedDate:"December 4th 2019",editedByType:"Edited by",bookSignature:"Javier Del Ser, Esther Villar and Eneko Osaba",hash:"e7ea7e74ce7a7a8e5359629e07c68d31",volumeInSeries:2,fullTitle:"Swarm Intelligence - Recent Advances, New Perspectives and Applications",editors:[{id:"49813",title:"Dr.",name:"Javier",middleName:null,surname:"Del Ser",slug:"javier-del-ser",fullName:"Javier Del Ser",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:null}]},{type:"book",id:"7656",title:"Fuzzy Logic",subtitle:null,coverURL:"https://cdn.intechopen.com/books/images_new/7656.jpg",slug:"fuzzy-logic",publishedDate:"February 5th 2020",editedByType:"Edited by",bookSignature:"Constantin Volosencu",hash:"54f092d4ffe0abf5e4172a80025019bc",volumeInSeries:3,fullTitle:"Fuzzy Logic",editors:[{id:"1063",title:"Prof.",name:"Constantin",middleName:null,surname:"Volosencu",slug:"constantin-volosencu",fullName:"Constantin Volosencu",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. 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\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.
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