Estimate of proportion of immunized children (
\r\n\tNearly 25% - 30% of the world population is affected by neurological diseases exerting a hard financial strain on the healthcare system. The costs are estimated at around $800 billion annualy, expected to exponentially increase as the elders, at high risk of debilitating neurological diseases, will double by 2050. A varied spectrum of neuroprotective strategies has been suggested, including combined antioxidative-anti-inflammatory treatments, ozone autohemotherapy, hypothermia, cell therapy, the administration of neurotrophic factors, hemofiltration, and others. Distressingly, none of the currently available neuroprotective approaches has so far proven to prolong either life span or the cardinal symptoms of the patients suffering from brain injury. Last but not least, translational studies are still lacking.
\r\n\r\n\tThe book aims to revisit, discuss, and compile some promising current approaches in neuroprotection along with the current goals and prospects.
",isbn:"978-1-83880-440-4",printIsbn:"978-1-83880-439-8",pdfIsbn:null,doi:null,price:0,priceEur:0,priceUsd:0,slug:null,numberOfPages:0,isOpenForSubmission:!1,hash:"10acd587ca2c942616bfc09c4b79df39",bookSignature:"Dr. Matilde Otero-Losada, Dr. Francisco Capani and Dr. Santiago Perez Lloret",publishedDate:null,coverURL:"https://cdn.intechopen.com/books/images_new/8087.jpg",keywords:"IKKβ/NF-κB pathway, neuroendocrine studies, anti-inflammatory agents, Bipolar disorder, oxidative metabolism, metabolic syndrome, Parkinson's disease, Alzheimer's disease, neurotrophins, growth factors, ATP-mediated calcium signalling, glutathione peroxidase",numberOfDownloads:162,numberOfWosCitations:0,numberOfCrossrefCitations:0,numberOfDimensionsCitations:0,numberOfTotalCitations:0,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"September 10th 2019",dateEndSecondStepPublish:"October 1st 2019",dateEndThirdStepPublish:"November 30th 2019",dateEndFourthStepPublish:"February 18th 2020",dateEndFifthStepPublish:"April 18th 2020",remainingDaysToSecondStep:"2 months",secondStepPassed:!0,currentStepOfPublishingProcess:4,editedByType:null,kuFlag:!1,editors:[{id:"193560",title:"Dr.",name:"Matilde",middleName:null,surname:"Otero-Losada",slug:"matilde-otero-losada",fullName:"Matilde Otero-Losada",profilePictureURL:"https://mts.intechopen.com/storage/users/193560/images/system/193560.jpeg",biography:"Dr. Matilde Otero-Losada graduated at the School of Pharmacy and Biochemistry, University of Buenos Aires (UBA) Argentina; pursued her studies in Neuropharmacology getting her Sci.D. in Neuropharmacology (UBA, Argentina); and completing her Ph.D. in Psychiatry at the Wolverhampton University, WLV, UK. \r\nHer following studies in Psychometrics and Statistical Methods, Radioisotopes and Radiochemistry, Signal Processing and Microcomputers, took her to the University of California San Diego (UCSD) for training in human Psychophysics. \r\nBack in Argentina, she carried on studying smell, taste and trigeminal perception at the Hospital de Clínicas, UBA. \r\nShe focused on the study of metabolic syndrome, soft drinks and cardiovascular-renal morbidity for the last ten years, and in the last two years she is back to her roots: Neurosciences. \r\nWith over 90 papers published in prestigious journals indexed in PubMed, Embase and Scopus and book chapters authored, as Senior Researcher of the National Research Council (Argentina), she customarily reviews manuscripts and is acknowledged for her scientific writing, and editing capacities.",institutionString:"University of Buenos Aires",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"2",totalChapterViews:"0",totalEditedBooks:"0",institution:null}],coeditorOne:{id:"120703",title:"Dr.",name:"Francisco",middleName:null,surname:"Capani",slug:"francisco-capani",fullName:"Francisco Capani",profilePictureURL:"https://mts.intechopen.com/storage/users/120703/images/system/120703.jpeg",biography:"Dr. Francisco Capani graduated at the School of Medicine, University of Buenos Aires, (UBA) Argentina and completed his doctoral studies in Neurosciences at the Institute of Cell Biology and Neuroscience Prof E. De Robertis, School of Medicine (UBA), Argentina. Then he moved abroad to perform his postdoctoral studies at the University of California San Diego (UCSD-NCMIR) and the Karolinska Institute, Department of Neuroscience. Over an eight-year period, his research focused on synaptic organization, combining electron tomography, 3-D reconstruction, and correlative light and electron microscopy techniques. Upon his return to Argentina in 2006, he devoted to study the mechanisms involved in the pathophysiology of the perinatal asphyxia supported by his broad experience in electron microscopy. He has published 101 papers in recognized journals and has been invited assisting in a speaker capacity to several international conferences.",institutionString:"University of Buenos Aires",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"4",totalChapterViews:"0",totalEditedBooks:"0",institution:{name:"University of Buenos Aires",institutionURL:null,country:{name:"Argentina"}}},coeditorTwo:{id:"168475",title:"Dr.",name:"Santiago Perez",middleName:null,surname:"Lloret",slug:"santiago-perez-lloret",fullName:"Santiago Perez Lloret",profilePictureURL:"https://mts.intechopen.com/storage/users/168475/images/system/168475.jpeg",biography:"Dr. Santiago Perez Lloret is a leading expert in neurophysiology and neuropharmacology with more 90 papers published in international medical journals (H-index= 29). He has been recently awarded Top 1% reviewer in neurosciences (Publons.com). After obtaining his MD and PhD, he pursued master courses in pharmacoepidemiology, clinical pharmacology and biostatistics at the Universities of Bordeaux and Paris. Dr. Perez Lloret is Assistant professor of Neurophysiology at the Medicine School of the Buenos Aires University and Associate Researcher at the Cardiology Research Institute, University of Buenos Aires, National Research Council. He is member of the International Parkinson’s Disease and Movement Disorder Society (MDS), where he is Co-editor of the Webpage and collaborates in several committees, including the Educational and the Evidence-based Medicine Committees.",institutionString:"University of Buenos Aires",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"0",totalChapterViews:"0",totalEditedBooks:"0",institution:{name:"University of Buenos Aires",institutionURL:null,country:{name:"Argentina"}}},coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"16",title:"Medicine",slug:"medicine"}],chapters:[{id:"69122",title:"Lifestyle Factors, Mitochondrial Dynamics, and Neuroprotection",slug:"lifestyle-factors-mitochondrial-dynamics-and-neuroprotection",totalDownloads:83,totalCrossrefCites:0,authors:[null]},{id:"69463",title:"Polyphenols as Potential Therapeutic Drugs in Neurodegeneration",slug:"polyphenols-as-potential-therapeutic-drugs-in-neurodegeneration",totalDownloads:36,totalCrossrefCites:0,authors:[null]},{id:"69376",title:"Trends in Neuroprotective Strategies after Spinal Cord Injury: State of the Art",slug:"trends-in-neuroprotective-strategies-after-spinal-cord-injury-state-of-the-art",totalDownloads:35,totalCrossrefCites:0,authors:[null]},{id:"70228",title:"Aptamers and Possible Effects on Neurodegeneration",slug:"aptamers-and-possible-effects-on-neurodegeneration",totalDownloads:10,totalCrossrefCites:0,authors:[null]}],productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"},personalPublishingAssistant:{id:"301331",firstName:"Mia",lastName:"Vulovic",middleName:null,title:"Mrs.",imageUrl:"https://mts.intechopen.com/storage/users/301331/images/8498_n.jpg",email:"mia.v@intechopen.com",biography:null}},relatedBooks:[{type:"book",id:"6550",title:"Cohort Studies in Health Sciences",subtitle:null,isOpenForSubmission:!1,hash:"01df5aba4fff1a84b37a2fdafa809660",slug:"cohort-studies-in-health-sciences",bookSignature:"R. Mauricio Barría",coverURL:"https://cdn.intechopen.com/books/images_new/6550.jpg",editedByType:"Edited by",editors:[{id:"88861",title:"Dr.",name:"René Mauricio",surname:"Barría",slug:"rene-mauricio-barria",fullName:"René Mauricio Barría"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"3161",title:"Frontiers in Guided Wave Optics and Optoelectronics",subtitle:null,isOpenForSubmission:!1,hash:"deb44e9c99f82bbce1083abea743146c",slug:"frontiers-in-guided-wave-optics-and-optoelectronics",bookSignature:"Bishnu Pal",coverURL:"https://cdn.intechopen.com/books/images_new/3161.jpg",editedByType:"Edited by",editors:[{id:"4782",title:"Prof.",name:"Bishnu",surname:"Pal",slug:"bishnu-pal",fullName:"Bishnu Pal"}],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"}},{type:"book",id:"1591",title:"Infrared Spectroscopy",subtitle:"Materials Science, Engineering and Technology",isOpenForSubmission:!1,hash:"99b4b7b71a8caeb693ed762b40b017f4",slug:"infrared-spectroscopy-materials-science-engineering-and-technology",bookSignature:"Theophile Theophanides",coverURL:"https://cdn.intechopen.com/books/images_new/1591.jpg",editedByType:"Edited by",editors:[{id:"37194",title:"Dr.",name:"Theophanides",surname:"Theophile",slug:"theophanides-theophile",fullName:"Theophanides Theophile"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"1373",title:"Ionic Liquids",subtitle:"Applications and Perspectives",isOpenForSubmission:!1,hash:"5e9ae5ae9167cde4b344e499a792c41c",slug:"ionic-liquids-applications-and-perspectives",bookSignature:"Alexander Kokorin",coverURL:"https://cdn.intechopen.com/books/images_new/1373.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"}},{type:"book",id:"4816",title:"Face Recognition",subtitle:null,isOpenForSubmission:!1,hash:"146063b5359146b7718ea86bad47c8eb",slug:"face_recognition",bookSignature:"Kresimir Delac and Mislav Grgic",coverURL:"https://cdn.intechopen.com/books/images_new/4816.jpg",editedByType:"Edited by",editors:[{id:"528",title:"Dr.",name:"Kresimir",surname:"Delac",slug:"kresimir-delac",fullName:"Kresimir Delac"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"57",title:"Physics and Applications of Graphene",subtitle:"Experiments",isOpenForSubmission:!1,hash:"0e6622a71cf4f02f45bfdd5691e1189a",slug:"physics-and-applications-of-graphene-experiments",bookSignature:"Sergey Mikhailov",coverURL:"https://cdn.intechopen.com/books/images_new/57.jpg",editedByType:"Edited by",editors:[{id:"16042",title:"Dr.",name:"Sergey",surname:"Mikhailov",slug:"sergey-mikhailov",fullName:"Sergey Mikhailov"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"3092",title:"Anopheles mosquitoes",subtitle:"New insights into malaria vectors",isOpenForSubmission:!1,hash:"c9e622485316d5e296288bf24d2b0d64",slug:"anopheles-mosquitoes-new-insights-into-malaria-vectors",bookSignature:"Sylvie Manguin",coverURL:"https://cdn.intechopen.com/books/images_new/3092.jpg",editedByType:"Edited by",editors:[{id:"50017",title:"Prof.",name:"Sylvie",surname:"Manguin",slug:"sylvie-manguin",fullName:"Sylvie Manguin"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"3794",title:"Swarm Intelligence",subtitle:"Focus on Ant and Particle Swarm Optimization",isOpenForSubmission:!1,hash:"5332a71035a274ecbf1c308df633a8ed",slug:"swarm_intelligence_focus_on_ant_and_particle_swarm_optimization",bookSignature:"Felix T.S. Chan and Manoj Kumar Tiwari",coverURL:"https://cdn.intechopen.com/books/images_new/3794.jpg",editedByType:"Edited by",editors:[{id:"252210",title:"Dr.",name:"Felix",surname:"Chan",slug:"felix-chan",fullName:"Felix Chan"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"3621",title:"Silver Nanoparticles",subtitle:null,isOpenForSubmission:!1,hash:null,slug:"silver-nanoparticles",bookSignature:"David Pozo Perez",coverURL:"https://cdn.intechopen.com/books/images_new/3621.jpg",editedByType:"Edited by",editors:[{id:"6667",title:"Dr.",name:"David",surname:"Pozo",slug:"david-pozo",fullName:"David Pozo"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}}]},chapter:{item:{type:"chapter",id:"49400",title:"Histone Methylation - A Cornerstone for Plant Responses to Environmental Stresses?",doi:"10.5772/61733",slug:"histone-methylation-a-cornerstone-for-plant-responses-to-environmental-stresses-",body:'Stress, as we currently think of it, is a highly subjective phenomenon defined as a state of threatened homeostasis. Depending on their nature, external stresses are usually divided into biotic (i.e. herbivorous insects and pathogens such as fungi, bacteria and viruses) or abiotic (i.e. including, among others, high or low temperature, submergence or drought and salinity). During their lifetime, all living organisms inevitably and constantly face all sorts of environmental stresses that often occur suddenly and/or simultaneously. Classically, different strategies can be applied to minimize deleterious effects of stresses, such as resistance, tolerance, avoidance or escape. Being sessile, plants cannot escape and are therefore more prone to the deleterious effect of unfavourable environmental growth conditions. Because responses are critical to ensure their survival, plants have developed specific and efficient strategies that allow them to precisely perceive different environmental stresses and respond and/or adapt to them [1, 2]. In addition to preformed defence traits, plants have evolved inducible defence strategies. Indeed, upon perception, each stress will raise a complex and more or less specific repertoire of cellular and molecular responses implemented by the plant to minimize or prevent damage. Particularly, the stimulation of a given stress-signalling pathway after pathogen detection will be integrated into the plant cell nucleus through a set of regulatory transcription factor cascades, which prioritizes defence over growth-related cellular functions, while conserving enough valuable resources for survival and reproduction [3, 4]. Supporting the idea that the capacity of a plant to rapidly reprogramme its gene expression at the transcriptional level is an essential and common component of all plant response strategies to stress and disturbance; more than 1,000 transcription factors were found to be involved in stress responses [5, 6]. Because eukaryotic genes function in the context of chromatin, modifications and remodelling of the chromatin configuration from permissive for transcription to restrictive, and vice versa, may be an integral part of mechanisms involved in this vital transcriptional reprogramming. In this chapter, we review and discuss the current knowledge about the functional impact of chromatin changes on the transcriptional regulation of genes under different stress conditions, with particular emphasis on histone methylation/demethylation.
In eukaryotes, genomic DNA in the cell nucleus is packaged in a complex and evolutionarily conserved structure named chromatin, with nucleosome as the basic unit. The nucleosome complex contains about 160–241 base pairs (bp) of DNA, a nucleosome core particle and the H1 linker histone. The nucleosome core particle is composed of an octamer of core histones, consisting of two H3–H4 dimers associated with two H2A–H2B dimers. About 146 bp of DNA is wrapped in ~1.65 negatively supercoiled circles around the histone octamer, while the linker DNA associated with H1 varies in length from 8 to 114 bp [7]. At first sight, the chromatin as it is described appears as a barrier, restricting the access of all kinds of enzymes that process the DNA. However, nucleosomes are not merely static but highly dynamic entities. Indeed, nucleosomes can be moved, stabilized/destabilized, disassembled/reassembled at particular genome locations in response to specific environmental signals or developmental cues [8]. This dynamic leads to a wide range of chromatin condensation states modulating the DNA accessibility, with euchromatin, being relaxed, and heterochromatin, being compacted. Therefore, in eukaryotic cells, an intimate connection exists between the structural organization of the genome and its functioning. For this reason, the level of chromatin condensation is directly related to all aspects of DNA metabolism, thus playing a major role in regulating transcription, DNA replication, DNA repair, recombination, transposition and chromosome segregation. In plants, changes in the chromatin structure were reported to affect various biological processes such as root growth, flowering, organogenesis, gametophyte or embryo formation [9–11].
In the nucleosome core particle, histones H2A, H2B, H3 and H4 possess two common regions, a histone-fold domain and a histone tail. The histone-fold domain is the most conserved region and the main element of histone dimerization [12]. The tail protrudes from the nucleosome core particle and is more variable and unstructured than the fold [13]. All four core histones have an N-terminal tail domain, but only histone H2A has an additional long C-terminal tail. Histone tails are extremely basic due to their particularly high content in basic amino acid residues, such as lysine and arginine [14]. Resulting positive charges allow them to closely associate with the negatively charged nucleosomal DNA through electrostatic interactions [15]. In addition, histone tails, especially N-terminal ones, may undergo diverse types of post-translational modifications such as acetylation or methylation. The great diversity of these modifications as well as the high number of amino acid residues that can be modified within histone tails, and the correlation between these modifications and various nuclear processes, lead to the hypothesis that the specific combination of histone modifications constitute a histone ‘code’ [16].
Technically, these histone marks can be localized by chromatin immunoprecipitation (ChIP) using specific antibodies against the modification [17]. Briefly, protein–DNA interactions are stabilized by cross-linking with formaldehyde; chromatin is sheared into small pieces to facilitate analysis and then immunoprecipitated using an antibody raised against a specific histone modification. Following enrichment, cross links are reversed to release DNA, which is then quantified by polymerase chain reaction (PCR) to measure the relative amount of the specific histone mark on selected plant genes. ChIP can also be combined with microarray hybridization (ChIP-chip) or high-throughput sequencing (ChIP-Seq), allowing the genome-wide discovery of DNA–histone modification interactions.
Methylation is the most abundant one compared with other histone PTMs. It can occur at both lysine (K) and arginine (R) residues of core histone tails. Further extending the indexing potential of this modification, mono-, di- and trimethylation of lysine and mono- and dimethylation (symmetric or asymmetric) of arginine are common at N-terminal tails of H2A, H2B, H3 and H4. Although histone acetylation is generally associated with active gene transcription, histone methylation can be associated with either active or silent gene expression, depending upon the histone, the methylated residue or the level (mono-, di- or tri-) of methylation. In Arabidopsis, genome-wide analyses revealed that trimethylations of H3K4 and H3K36 (H3K4me3 and H3K36me3) are generally enriched at actively transcribed genes, whereas H3K27me3 is associated with repressed genes and H3K9me2 and H4K20me1 are enriched at constitutive heterochromatin and silenced transposons [18]. For histone arginine methylation, a definitive role has not yet been clearly established. However, because the level of symmetric H3R2me2 and H4R3me2 was negatively correlated with the level of H3K4me3, a well-known mark reflecting active transcription, high levels of H3R2me2 and H4R3me2 are thought to cause transcriptional repression [19–21]. In contrast, asymmetric H4R3me2 was associated with gene activation [22, 23].
Histone methylation is relatively stable and can be established on lysine and arginine by two distinct families of enzymes, the histone lysine methyltransferases (HKMTs), all containing the evolutionary conserved catalytic SET domain in plants [24], and the protein arginine methyltransferases (PRMTs) [25], respectively. As a counterpart, methyl groups on histone can also be removed by at least two evolutionarily conserved classes of histone demethylases, the lysine-specific demethylase1 (LSD1) type and the Jumonji C (JmjC) domain-containing demethylases [26]. Histone methyltransferases and demethylases are well conserved in angiosperms and have been identified and classified on the basis of phylogenetic analyses and domain organization in several plants, including Arabidopsis, maize, tomato, rice, grapevine and Brassica rapa, [27–32]. However, cellular and molecular functions of many of these modifiers have not yet been addressed.
Although histone acetylation can directly modulate the chromatin structure, arginine and lysine methylation of histone tails can promote or prevent the docking of key transcriptional effector molecules, named readers, needed to ‘translate’ the code in order to determine the functional and structural outcome of the corresponding PTMs. Just as there are a large number of PTMs on histone tails, there are also numerous protein domains that recognize and bind to particular PTMs on these tails. For example, PTM-recognition domains such as plant homeodomain (PHD) fingers, chromodomains and Tudor domains all recognize methylated lysine residues [33].
Biotic stress is the result of the damage done to plants by insects or pathogens, such as bacteria or fungi. Plant pathogens are generally divided into two distinct categories: biotrophs, which colonize living plant tissue and obtain nutrients from living host cells, and necrotrophs, which depend on dead host tissue for nutrients and reproduction. To fend off pathogens with different infection strategies, plants have evolved complex defence mechanisms. Classically, the pathogen-sensing machinery induces signalling cascades that promote the accumulation of hormones such as salicylic acid (SA) or jasmonic acid (JA)/ethylene (ET) [34]. These hormones then orchestrate the overall plant defence reaction locally and systemically by inducing the transcriptional activation of defence genes through an intricate signalling network. In this part, we highlight recent examples illustrating how histone methylations condition major steps leading to immunity, ranging from initial pathogen perception to hormonal homeostasis changes for antimicrobial effector expression.
The phytohormone SA plays an important role in plant defence, from the induction of pathogen resistance (PR) genes against biotrophic bacteria (e.g. Pseudomonas syringae) to the establishment of systemic acquired resistance (SAR) [35]. Several studies suggested that the SA signalling pathway is notably controlled by histone methylation. Under normal growth conditions, Arabidopsis mutants for SNI1 (Suppressor of NPR1, Inducible), a negative regulator of SAR required to dampen the basal expression of PR genes, presented an increased H3K4me2 on PR1 [36]. Rather than being a constitutive mark of transcription, H3K4me2 was proposed to be involved in the fine-tuning of tissue-specific expression [37]. Using the functional SA-analogue S-methyl benzo [1,2,3] thiadiazole-7-carbothioate (BTH), an increased level of H3K4me2 on PR1 was observed in wild-type plants 48 h after treatment and was not detected in mutants. Interestingly, when expressed in yeast, SNI1 also repressed transcription, suggesting a highly conserved mechanism of transcriptional repression. These results together with the structural similarity of SNI1 with armadillo repeat (ARM) proteins (i.e. a motif known to mediate protein–protein interactions) imply that SNI1 may form a scaffold for interaction with proteins that modulates the chromatin structure of PR genes, thus repressing their transcription. In addition, the presence of H3K4me2 detected on PR1 before induction suggested that this mark is readily in place, providing the appropriate chromatin configuration for the efficient induction of PR1 upon need. Using a similar approach, Alvarez-Venegas et al. [38] reported no significant changes in levels of H3K4me2 and H3K4me3 on PR1 24 h after the SA treatment [38]. This discrepancy may reflect differences in experimental conditions. Indeed, the action of the so-called ‘SA-analog’ BTH on gene transcription is significantly broader than the action of SA itself [39]. Moreover, samplings were performed 48 h versus 24 h after treatment. Together, because the H3K4 methylation increase does not occur immediately after the induction of PR1, this mark may not be directly related to the transcriptional induction itself, but later, for the maintenance/reinforcement of PR1 expression.
The ARABIDOPSIS HOMOLOG OF TRITHORAX (ATX1) is a H3K4 trimethyltransferase providing basal resistance against Pseudomonas syringae pv. tomato (Pst); [40]. Despite being not induced by either Pst infection or SA, ATX1 positively and directly regulates the expression of the transcription factor WRKY70 through H3K4 trimethylation at the WRKY70 promoter. In addition, atx1 mutant shows induced expression of the JA-inducible THI1.2 gene and the reduced PR1 expression without detectable changes in their chromatin, resulting in impaired resistance to Pst infection. Since the transcriptional factor WRKY70 was positioned at the convergence nod of the SA and JA signalling pathways, activating the SA-responsive PR1 gene and repressing the JA inducible genes [41], ATX1 was proposed to indirectly regulate PR1 and THI1.2 through WRKY70. SET DOMAIN GROUP 8 (SDG8), another HKMT encoding the major Arabidopsis H3K36 di- and trimethyltransferase [42], was also involved in the plant-defence against Pst, but it was more upstream than ATX1 [43]. Indeed, SDG8 sustains the basal transcription of particular R genes (RPM1 or LAZ5) by maintaining a basal level of H3K36me3, another histone mark tightly associated with active transcription. SDG8 is also required for the transcriptional induction of these R genes upon BTH treatment or Pst inoculation. However, this induction occurs without any detectable increase of H3K36me3. Therefore, in resting plants, SDG8 may establish a ‘permissive’ chromatin structure at some R genes by methylating H3K36, thus ensuring their basal expression and their transcriptional inducibility upon need. Similarly as atx1 and sdg8 mutants, loss-of-function mutants for the putative HKMT SDG7 were also found to be more sensitive to Pst infection than wild-type plants [44]. The expression of other R genes seems to be under the control of histone methylation. Indeed, enhanced downy mildew 2 (EDM2) impacts disease resistance by controlling levels of H3K9me2 at an alternative polyadenylation site in the immune receptor gene RPP7, thus regulating the balance between full-length RPP7 transcripts and prematurely polyadenylated transcripts, which do not encode the RPP7 immune receptor [45, 46]. EDM2, as an epigenetic ‘reader’, contains two stretches of atypical PHD-finger motifs known to dock specifically several forms of methylated or unmethylated lysine residues on histones [47]. Besides this, EDM2 was also proposed to cooperate within a large protein complex with EMSY-like (AtEML) members, harbouring an Agenet domain related to the Tudor domain family of epigenetic ‘readers’ [48].
Apart from Arabidopsis, little is known about the regulatory role of histone methylation in the defence against pathogen attack in other plant species. In rice, the JmjC protein gene JMJ705 encoding a histone lysine demethylase that specifically reverses H3K27me2/3 was found induced during infection with the bacterial pathogen Xanthomonas oryzae. JMJ705 was further involved in the dynamic removal of the basal H3K27me3 over defence-related genes, thereby increasing their basal expression and/or potentiating their higher expression upon biotic stress. Interestingly, the JMJ705 overexpression resulted in an enhanced resistance to the bacterial pathogen, while its mutation reduces the plant resistance [49].
While to combat biotrophic pathogens the plant activates mainly the SA signalling pathway, the activation of the JA/ET signalling pathway is prominent to mediate defences against necrotrophic pathogens and herbivorous insect attacks [50]. The involvement of histone methylation in the defence against necrotrophic pathogens is far less documented as compared with the defence against biotrophic pathogens. Besides being more susceptible to Pst [43], sdg8 mutants were also reported to be more sensitive to necrotrophic fungal pathogens such as Alternaria brassicicola (Alt) and Botrytis cinerea [51]. This increased susceptibility was the consequence of the inefficient transcriptional induction of different genes along the JA/ET signalling pathway that was correlated with a stably weak level of H3K36me3 at these genes. Inversely, in wild-type plants, H3K36me3 together with gene expression were increased upon Alt infection or stimulation with exogenous MeJA. Under resting conditions, a similarly weak level of H3K36me3 was correlated with a reduced basal expression in sdg8. On that account, H3K36 methylation was proposed to act as a ‘permissive’ mark correlated with gene activity and readily in place at a subset of JA/ET signalling-related genes to raise their rapid and efficient transcriptional induction when required [52]. Interestingly, a stable and very low level of H3K27me3 was detected in defence effector genes. Because H3K27me3 is often associated with epigenetic silencing [53], this low H3K27me3 level may provide these genes with a reduced probability for undesired silencing, thus participating in the reactivity of plants to pathogen infections.
Abiotic stresses such as heat, cold, drought, salinity and nutrient deficiency are inherent to every ecosystem and essentially unavoidable. Abiotic stresses are considered the most harmful factors in terms of growth and productivity of crops worldwide [54, 55], especially when they occur in combinations [56]. Here, we summarize and discuss various studies in order to clarify the functional involvement of different histone methylation marks in setting up plant responses to adverse environmental growth conditions.
The phytohormone abscisic acid (ABA) is a crucial signalling molecule playing versatile functions in regulating many developmental processes, including seed dormancy and germination [57, 58]. ABA also plays a pivotal role in adaptive stress processes, integrating both biotic and abiotic environmental constraints in a complex network of interacting pathways with crosstalks at different levels [59–61]. Currently, ABA is considered as a global regulator of stress responses that can dominantly control the switch in priority between the responses to biotic or abiotic stress, allowing plants to respond to the most severe threat [62].
The transition from heterotrophic to autotrophic development at the post-germinative stage (i.e. embryonic state) is highly vulnerable to osmotic stress [63]. During a period of osmotic stress, ABA promotes the expression of transcription factors such as ABI3 and ABI5, which in turn delay germination and lead to osmotolerance and survival [64]. In Arabidopsis, mutation in PICKLE (PKL), encoding a putative chromatin modifier, results in increased and abnormally sustained expression of ABI3 and ABI5 in response to exogenous ABA treatment. This sustained expression was correlated with reduced levels of H3K9me2 and H3K27me2, two methylation marks found in the chromatin of silent genes [65]. Based on these results, it was suggested that PKL might act on ABI3 and ABI5 to promote directly or indirectly the formation of a repressed chromatin state through a so-far-unknown mechanism.
In adult plants, the establishment of a response and tolerance to drought stress by ABA has been extensively studied and is well discussed in several outstanding reviews [58, 66]. Briefly, under drought conditions, water stress perception triggers ABA biosynthesis and increased tissue ABA accumulation, resulting in stomatal closure and reduced transpiration. Among major enzymes involved in the ABA biosynthesis pathway, NINE-CIS-EPOXYCAROTENOID DIOXYGENASE 3 (NCED3) is thought to be the rate-limiting enzyme [67]. In Arabidopsis, the increased transcription of NCED3 upon dehydration was correlated with the binding of the HKMT ATX1 and the increased level of H3K4me3 at NCED3 [68]. Therefore, the loss-of-function atx1 mutant showed less tolerance to dehydration, notably because of the lower enrichment of RNA Polymerase II (RNAPII) and H3K4me3 at NCED3 under stress. ATX1-modified H3K4me3 may thus have an important function in the transcriptional regulation of NCED3. However, it is still unclear whether this function is directly linked with the transcriptional induction or is more related to the reinforcement of the increased transcription upon stress perception.
Water stresses including drought or submergence are major environmental factors limiting plant growth and crop productivity worldwide [69, 70]. Consequently, plants have evolved a variety of biochemical and physiological mechanisms to respond/adapt to these stresses [71, 72]. In the following section, we distinctly address the involvement of histone methylation in responses to drought and submergence.
Using Arabidopsis, the molecular response to water deficit was found to rely notably on the transcriptional regulation of stress-inducible genes with products thought to function in drought tolerance and response [73]. Using ChIP analyses in 15-day-old Arabidopsis seedlings, the level of the active mark H3K4me3 was found gradually enriched in response to dehydration stress, preferentially on the coding region of four drought-inducible genes (RD29A, RD29B, RD20 and RAP2.4), and was correlated with their upregulation [74]. Consistent with this result, ATX1 was reported to be required for the efficient transcriptional induction of RD29A and RD29B during a dehydration stress response in an ABA-independent manner [68]. Also, for unknown reasons, it is worth noting that upon exogenous ABA treatment the transcriptional induction of RD29A and RD29B was stronger in atx1 mutants than in wild-type plants (their basal transcript levels were lower in atx1 than in wild-type, while their transcript levels upon ABA treatment were identical [68]. Next, for the ABA-dependent RD29A and ABA-independent RAP2.4 genes, a time lag was observed between their transcriptional induction and the increase in H3K4me3 [74]. Based on these findings and the rapid saturation in RNAPII enrichment compared with H3K4me3 (i.e. already saturated 1 h after stress exposure for RNAPII, while H3K4me3 was still increasing up to 5 h), Kim et al. [74] concluded that the H3K4me3 enrichment may be established, gradually, in response to drought stress after full transcriptional activation of RD29A and RAP2.4. Because the timing of H3K4me3 enrichment followed subsequent to the RNAPII enrichment, H3K4me3 might be dispensable for the initiation of transcription. Finally, the gradual increase of H3K4me3 further indicates that the longer the stress lasts, the more H3K4me3 will be enriched, suggesting that the epigenetic responsiveness must depend on the intensity of a stress [75].
In a similar approach but using ChIP-Seq, van Dijk et al. [76] established the whole-genome distribution patterns of H3K4me1, H3K4me2 and H3K4me3 in 4-week-old rosette Arabidopsis leaves under dehydration stress conditions. They also observed a strong correlation between H3K4me3 abundance and transcripts levels from responding genes. Indeed, among the most strongly downregulated genes, an increase in H3K4me1 and a decrease in H3K4me3 were detected, suggesting the involvement of a histone demethylase in modulating the expression of a subset of stress-responsive genes. Supporting this finding, a putative PKDM7 subfamily-like H3K4 demethylase homologue and two putative demethylase enzymes containing a JmjC domain were found to be drought-inducible in two barley cultivars and in young peanut plants, respectively [77, 78]. Surprisingly, in contrast to the classical genome-wide H3K4me3 enrichment around the transcriptional start site observed in all other eukaryotes [79], H3K4me3 displayed a broader distribution on dehydration and ABA-inducible genes. Such an unusual profile may reflect a function not strictly related to transcription initiation, as will be discussed later in the stress memory section.
Through a genome-wide approach in rice seedling, Zong et al. [80] also uncovered a weak but positive correlation between H3K4me3 enrichment and the transcript level of some drought-responsive genes under drought stress. This correlation was extended to many genes involved in stress-related metabolite and hormone signalling pathways, further supporting the role played by H3K4me3 in the stress response [80]. However, because H3K4me3 is not the only histone mark for gene activation, this weak correlation may reflect that other active histone marks may also play important roles in regulating gene expression in response to stress in rice. Although these large data sets have provided much information on drought responses in rice, more detailed analyses will be required to elucidate whether the observed variations in H3K4 methylation are a cause or a consequence of the transcriptional changes triggered by water stress. Moreover, identifying key histone modification enzymes is indispensable to better understand the transcriptional regulatory network of the abiotic stress response.
Submergence is a complex stress that encompasses many changes in environmental factors, including light intensity, pH and dissolved oxygen concentration. Alcoholic fermentation is important for the survival of plants especially under anaerobic environments [81]. In rice, alcohol dehydrogenase 1 (ADH1) and pyruvate decarboxylase 1 (PDC1) genes are involved in this anaerobic metabolism and their expression is reversibly induced (i.e. activated upon submergence and repressed upon re-aeration) [82]. Using these two genes as a model, Tsuji et al. [83] observed that the level of H3K4 methylation, specifically at both the 5′- and 3′-coding regions of ADH1 and PDC1, was changed from a dimethylated state to a trimethylated state upon their transcriptional upregulation in response to submergence. This change was reverted back to its initial level following re-aeration, indicating that in this particular case, H3K4me3 does not serve as a memory mark of a prior transcriptional activity. Similarly to drought, these results highlight the dynamic and reversible change of histone H3K4 methylation at stress-related genes in response to the occurrence and disappearance of a stress.
Salinity is also a serious factor affecting plants in several ways (i.e. water stress, ion toxicity, nutritional disorders, oxidative stress, alteration of metabolic processes, membrane disorganization, genotoxicity, reduction of cell division and expansion), thus limiting plant growth, development and survival [84]. In Arabidopsis, a NaCl or ABA treatment has been shown to induce the transcription of a range of abiotic stress-responsive genes (ABI1, ABI2, KAT1, KAT2, DREB2A, RD29A and RD29B). Using ChIP, this induction was found significantly correlated with an increase in the active mark H3K4me3 and a decrease in the repressive mark H3K9me2 [85]. Also, suggesting a link between different histone PTMs, mutations in the histone deacetylase HDA6 partially suppressed the H3K4me3 increase observed in response to stress, while the H3K9me2 decrease was not affected. Since histone acetylation and H3K4 trimethylation are often associated with gene activation [86], the repressive function of HDA6 may suggest that acetylation on histone H3 is required for K4 methylation to occur [87]. Unfortunately, because ChIP experiments were not normalised against the total H3 density, it is difficult to attribute the decrease in H3K9me2 to either the active removal of methyl groups by a histone demethylases or the active removal of nucleosome in response to a stress. Supporting the second possibility, the nucleosome density of two other drought stress-inducible genes (RD20 and RAP2.4) was found to gradually decrease in response to drought stress [74].
In soya bean and in response to a high NaCl concentration, these histone methylation marks were also found altered at some salinity-induced transcription factors (i.e. MYB, b-ZIP and AP2/DREB family members) that were primarily identified by microarray analysis [88]. For some genes, their transcriptional induction was correlated with an increased level of histone acetylation and H3K4me3, accompanied or not with a reduced level of DNA methylation and H3K9me2 in various parts of the promoter or coding regions. For other genes, DNA methylation had no influence on histone methylation. This work perfectly reflects the heterogeneity of the effect of salinity on histone methylation and DNA methylation, and supports the role(s) of histone methylation changes in the expression of some transcription factors important for salinity tolerance.
As mentioned above, H3K4me3 was found to be involved in the transcriptional induction of stress-responsive gene upon salt stress exposure. In plants, the JmjC-domain-containing histone demethylases JMJ14, JMJ15 and JMJ18 have been reported to display an H3K4me2/3 demethylase activity as well as to regulate diverse aspects of chromatin function and development [89–95]. Recently, the overexpression of JMJ15 was reported to preferentially downregulate many stress-related genes preferentially marked by H3K4me2/3 and to enhance salt stress tolerance [96]. In contrast, the loss-of-function mutant was more sensitive to salt. Despite the fact that an increased JMJ15 level may regulate stress-responsive gene transcription programmes in Arabidopsis, the role of H3K4me3 resetting in these processes is still very elusive.
Besides histone lysine methylation, arginine methylation was also involved in establishing the transcriptional response to salt stress. The protein arginine methyltransferase 5 (PRMT5), also named Shk1 kinase-binding protein1 (SKB1), is a type II methyltransferase that catalyses symmetric H4R3 dimethylation, a repressive mark known to promote flowering through the repression of the floral repressor FLOWERING LOCUS C (FLC) in Arabidopsis [20, 97]. Interestingly, gain-of-function SKB1 mutants showed an enhanced salt stress tolerance and sensitivity to ABA [98]. As a consequence of PRMT5 disassociating from chromatin, the H4R3sme2 level at stress-responsive genes was reduced during salt stress, resulting in their induced expression. Suggesting an additional function of PRMT5 on non-histone proteins, the methylation level of the U6 small nuclear ribonucleoprotein Sm-like4 (LSM4, a core protein of the spliceosome) was increased in response to salt stress and ABA. Since splicing defects were observed in the prmt5/skb1 and lsm4 mutants, with both of them being hypersensitive to salt stress, authors proposed that PRMT5 might mediate plant development and salt response by altering the methylation status of H4R3me2 and LSM4, linking transcriptional regulation to pre-mRNA splicing [98].
In plants, temperature stresses are classically classified into different types according to temperature exposure, which may be warm, high, chilling or freezing temperature. Due to global warming and because temperature stress greatly affects plant growth and development, immunity and circadian rhythm, and poses a serious threat to the global food supply, the genetic mechanisms of plant responses to heat have been well studied. Plants exposed to temperature stresses modulate the transcription of a large number of genes involved in distinct biochemical and physiological response pathways and networks of phytohormones or secondary metabolites, ultimately leading to increased tolerance to hazardous temperature stresses [99–102]. The role played by histone methylation during the plant response to a heat or a cold stress is discussed separately hereafter.
Heat stress during seed development decreases the seed size in many cereals, resulting in severe yield losses [103, 104]. In rice, a molecular mechanism involving the putative rice polycomb repressive complex 2 (PRC2) gene Fertilization-Independent Endosperm1 (OsFIE1) was suggested as being a potential key component involved in regulating the thermal sensitivity of seed enlargement during endosperm development [105]. When developing seeds were exposed to a heat stress, both DNA methylation and H3K9 methylation were reduced on OsFIE1 resulting in its derepression. Under heat stress, syncytial stage-specific MADS-box genes involved in seed size regulation were precociously repressed, due to the increased deposition of H3K27me3 silencing marks by the PRC2 complex [105]. In the unicellular green alga Chlamydomonas reinhardtii, histone modification was also affected by heat stress [106]. Indeed, after heat stress, the level of H3K4me1 was found decreased and the level of histone acetylation increased at promoter regions of active genes compared with inactive regions. As a hypothesis, authors proposed that upon heat stress, the heat shock transcription factor HSF1 might promote chromatin remodelling and RNAPII recruitment for transcription initiation/elongation [106]. Finally, while addressing molecular mechanisms of the response of cotton anthers to high temperature, two jmjC domain-containing genes, putatively involved in histone demethylation, were found significantly repressed during anther development under heat stress [107].
Because euchromatin is gene rich and usually transcriptionally active, investigation about the role of histone methylation in temperature stress acclimation was largely centred on euchromatin-associated coding regions. Focusing on the transcriptionally silent heterochromatin, mainly constituted of repetitive DNA sequences, some works demonstrated the transcriptional activation of normally silent transposable element embedded within heterochromatic regions under stress conditions [108]. Intriguingly, such activation under heat stress can occur without alteration of DNA methylation and with only minor changes in both H3K9me2 and H3K4me3 [109, 110]. In summary, these works suggest that temperature stress-mediated transcription of tandem-repeat elements might play a vital role in the adaptation of plants to temperature stimuli, offering an efficient mechanism by which heat or cold could promote the expression of some stress-responsive genes. Upon activation and when inserted into or very close to a gene, such transposable elements could interfere with the expression of this gene, giving rise to deleterious mutations, genetic instability or positive contribution to gene regulation and adaptation [111].
The increased tolerance of plants to cold is referred as ‘cold acclimation’. Cold acclimation differs from vernalization, as the last one requires a long-term exposure to cold temperatures, while cold acclimation can be achieved in a couple of days under non-freezing low temperatures [112]. Locally, histone methylation changes in cold-responsive genes were addressed in Arabidopsis. Upon cold stress, the repressive mark H3K27me3 decreased, in both a histone occupancy-dependent (i.e. arising from the lowering nucleosome density) and -independent (i.e. as the result of the activity of a not yet identified histone demethylase) manner, on the cold-responsive genes, cold-regulated 15A (COR15A) and galactinol synthase 3 (ATGOLS3; [113]). Interestingly, the decrease in H3K27me3 upon stimulation occurred more gradually than their rapid transcriptional induction, so that their activation may not be inhibited by H3K27me3 itself but rather lead to the removal of H3K27me3. Also, while the transcription of COR15A and ATGOLS3 was completely repressed to the initial level upon returning plants to normal growth conditions, the H3K27me3 decrease was maintained. Given that this decrease does not affect the transcriptional induction of COR15A and ATGOLS3 upon re-exposure to cold temperatures, such chromatin change can so far only be view as a ‘reminiscence’ of a recent transcriptional activity and not as a stress memory implicated in a gene priming process.
In maize during cold stress, changes in histone modifications, including the heterochromatic marks H3K9me2 and DNA methylation, were assessed through a genome-wide approach [114]. The more detailed analysis of the two knob-associated tandem-repetitive sequences, the 180-bp repeat and the 350-bp repeat termed TR-1, demonstrated that their selectively and transiently cold-activated transcription was correlated with a decreased H3K9me2 and DNA methylation, together with an increased H3K9 acetylation. Such cold-induced transcriptional activation of tandem repeats is selective and transient, and the silencing state is recovered as the treatment continues.
In animals, the formation of memory immune cells after primary antigen recognition confers long-lasting resistance, resulting in an accelerated and a more effective immune response in case of second exposure. Despite the absence of such memory immune cells, plants often acquire a systemic immunity to further infections after a primary localized infection [115]. This requires the accumulation of the plant hormone SA in systemic tissues and is called systemic acquired resistance (reviewed in [116]. The SAR is also associated with gene priming in systemic tissues, in which defence genes will be expressed more rapidly and robustly in case of a second attack [117]. At the transcriptional level, gene expression is primarily influenced by the chromatin structure, which in turn is controlled partly by processes, often referred to as ‘epigenetic’ processes, which can be transmitted through mitosis and/or inherited through meiosis [118]. Therefore, chromatin remodelling through histone methylation offers a potential mechanism for short-/long-term stress memory within the lifespan of an individual, referred to as somatic memory, and/or across generations, referred to as transgenerational memory.
In Arabidopsis, a priming event, either treatment with BTH or infection with Pseudomonas syringae pv. maculicola, systematically resulted in an increase in the level of H3K4me2/me3 at defence gene promoters (namely the WRKY transcription factors WRKY6, WRKY29 and WRKY52) that are normally found on active genes, while the genes remain inactive [119]. More interestingly, this increase also occurs in leaves distal to localized foliar infection. Hence, even if the histone-modifying enzyme involved in this process remains unidentified, results from Jaskiewicz et al. [119] clearly suggest that histone methylation might create a ‘memory’ of the primary infection that is associated with an amplified reaction to a second stress stimulus. Further, Luna et al. [120] observed that promoters of SA-inducible PR1, WRKY6 and WRKY53 in the progeny of Pst-inoculated Arabidopsis plants were enriched with acetylated histone, while the promoter of the JA-inducible gene PLANT DEFENSIN1.2 (PDF1.2) showed an increased level of H3K27me3. For decades, the signalling protein NON EXPRESSOR OF PR1 (NPR1) has been implicated in mediating SAR induction [115] and also the crosstalk between SA- and JA/ET-dependent defence pathways, enabling plants to mount an appropriate defence reaction, depending on the nature of the attacker and the stage of infection [121, 122]. More recently, NPR1 has been proposed to play a critical role in the expression of the transgenerational SAR as progeny from npr1 failed to develop transgenerational defence phenotypes and failed to present enrichment for H3K27me3 at the PDF1.2 promoter [120]. Together, these findings suggested that one or more systemic signals are stored as an immune memory on defence-related gene promoters in the form of histone modifications, thus providing the plant with a life-long protection, which can be transmitted to subsequent generations.
Besides being involved in defence priming related to biotic stress, histone methylation was also proposed as a priming strategy against drought. To further explore the functional impact of histone methylation on biotic stress responses in Arabidopsis, Kim et al. [123] followed chromatin dynamics of several drought genes (RD20, RD29A and AtGOLS2) and a rehydration-inducible gene (ProDH) during drought and rehydration. As previously discussed, a strong correlation was observed between H3K4me3 enrichment (i.e. especially in gene bodies) and transcription for drought genes upon drought [74, 123]. Such a correlation was also detected for the rehydration gene upon rehydration [123]. Suggesting a memory role for H3K4me3, RNAPII rapidly disappeared after rehydration at drought genes, while H3K4me3 was gradually decreased. Concomitantly, by training plants with up to four successive drought treatments, Ding et al. [124] uncovered the existence of two distinct subsets of genes within the dehydration stress–response gene fraction. The ‘non-trainable’ genes (e.g. the ABA-independent RD29A and COR15A) have repetitively similar transcription rates during each stress treatment, while ‘trainable’ ones (e.g. the ABA-dependent RD29B and RAB18) increased the magnitude of their subsequent transcriptional response, relative to their initial stress response. Using ChIP, Ding et al. [124] observed that the H3K4me3 enrichment at ‘trainable’ genes, especially in gene bodies, was atypically retained from the preceding transcription after rehydration. Even more interestingly, the RNAPII phosphorylated at C-terminal domain (CTD) repeat serine 5 (Ser5P; associated with transcription initiation) was found stalled on these genes as a memory mark from a previously transcribed state. In contrast to ‘trainable’ genes, the stress-induced H3K4me3 and Ser5P enrichment at ‘non-trainable’ genes was decreased to its basal level during recovery [124]. Moreover, this transcriptional memory can persist in the absence of inducing signals at least for 5 days, but is lost after 7 days. Supporting a specific role for H3K4me3 in stress memory, other active chromatin marks such as acetylation of histones H3 and H4 were found rapidly increased at drought genes upon stress and decreased at comparable levels as before induction quickly after recovery [123, 124]. Consistent with an activating role of ATX1 at dehydration stress–response genes [68, 125, 126], dehydration-induced transcript levels were diminished in atx1 plants [127]. However, ATX1 does not seem to have a critical impact on drought stress memory in Arabidopsis. Indeed, while being less increased than in wild-type plants, trainable genes still produced increased transcripts in trained, relative to untrained, atx1 plants and retained high H3K4me3 levels during the watered recovery states. ATX1, ATX2, SDG25 and SET DOMAIN GROUP2/ATX-RELATED3 (SDG2/ATXR3) belong to the same class III of H3K4me3 methyltransferases and are thought to act, partially redundantly, as H3K4 methyltransferase [128–134]. More recently, SDG2 has been found to be essential for the full transcriptional activation of various hormone-responsive genes upon hormone treatment (i.e. including the ABA-dependant RD29A) via its H3K4 trimethyltransferase activity [135]. It is, therefore, likely that the other class III HKMT might also contribute to the drought stress memory. In summary, these results suggest that in addition to be a good marker of gene activation when found around promoter and 5′ regions of genes, H3K4me3 might also play a role in establishing a transcriptional short-term somatic memory of drought stress when found in gene bodies.
Using a large-scale approach, the distribution of H3K4me2, H3K4me3, H3K9me2 and H3K27me3 was analysed in Arabidopsis seedlings, which have been treated with mild salt stress in the seedling stage, resulting in an increased tolerance upon an additional salt stress application [136]. At low resolution in primed seedlings, H3K4me2 and H3K4me3 most commonly consisted of higher peaks of pre-existing enriched histone modification domains, named islands, whereas H3K9me2 produced the least differences. By contrast, majority of differences in H3K27me3 resulted from a higher number of islands with lower genome coverage. At high resolution, changes in H3K27me3 were already detectable a few hours after salt addition, suggesting that demethylation of H3K27me3 operates at a speed that is comparable to that of transcriptional regulation. Interestingly, this effect fades over time; however, it is still clearly visible after a 10-day-growth period in control conditions. In response to a second stress treatment, genes with high responsiveness, such as HKT1 (i.e. encoding a root-specific Na transporter) and PIP2E (i.e. encoding a plasma membrane aquaporin), experienced a decrease of H3K27me3, whereas genes with lower responsiveness, such as GH3.1 and GH3.3 (i.e. encoding auxin and JA-amino acid-conjugating enzymes, respectively), experienced an increase of H3K27me3. Conversely, another group reported that in plants that have experienced several exposures to dehydration stress no significant change in the level of H3K27me3 could be detected on trainable and non-trainable genes, or during transcriptionally active/inactive gene states [137]. However, the high H3K27me3 level present at inactive dehydration stress memory genes did not interfere with the transition to an active transcription and with the accumulation of H3K4me3 [138]. Together, the function of H3K27me3 in genes that dynamically change transcription seems to depend on the type of environmental stimuli.
In contrast to H3K27me3, the higher level of H3K4me3 retained at the trainable gene RD29B, when its transcription is low, further supports the idea that H3K4me3 works as a ‘memory’ histone mark of a previously active state [138]. Generally, H3K4me3 and H3K27me3 play antagonistic roles in gene transcription and are therefore mutually repulsive at developmental genes [37, 139]. Seemingly, the presence of both marks, referred as ‘bivalent domains’, was first described in mammalian stem cells and was proposed to represent a pluripotent chromatin state that poises genes for activation upon appropriate developmental cues [140, 141]. Further work is required to determine whether H3K4me3 and H3K27me3 co-exist at certain genes whose expression is rapidly altered in response to environmental stimuli.
Because plant stress research has traditionally focused on single stresses, we separately described priming in response to abiotic or biotic environmental cues. However, in nature, plants are constantly exposed to mild environmental stresses during their lifetime. While testing how different environmental histories can affect the response of the plant to a subsequent biotic stress, Singh et al. [142] reported that Arabidopsis plants exposed to a recurrent abiotic stress (i.e. heat, cold or salt) were more resistant to Pst than plants grown in a more stable environment. This enhanced resistance was due to the priming of commonly used marker genes of pattern-triggered immunity (PTI; WRKY53, FLG22-INDUCED RECEPTOR KINASE1 (FRK1) and NDR1/HIN1-LIKE10 (NHL10)). Indeed, enrichment for epigenetic marks associated with transcriptional activation, such as H3K4me2 and H3K4me3, at PTI-responsive genes was observed after the exposure to recurrent stress, resulting in an enrichment of RNA polymerase II and a primed transcription in response to a subsequent bacterial infection. Collectively, these works on somatic stress memory promote the idea that, in plant, the environmental history can shape/modulate the response to stress, providing a mechanistic link between histone methylation and gene priming.
The transgenerational stress memory refers to the transmittance of certain environmental responses from one generation to the next, thus providing the offspring of environmentally challenged plants with an adaptive advantage for better fitness (i.e. improve plant stress tolerance and impart developmental flexibility; [143]). Compared with DNA methylation and RNA interference (RNAi), very few studies suggest the involvement of histone methyltransferases and histone methylation changes in this process [144]. In Arabidopsis, changes in DNA methylation, histone modifications and gene expression were followed in the progeny of plants exposed to salt stress over one generation [145]. Although the DNA from the progeny of plants exposed to salt stress was globally hypomethylated, the majority of genes and promoters causing methylation changes were hypermethylated and lowly expressed. In addition, DNA hypermethylation was correlated with an increased level of the repressive mark H3K9me2. Among these hypermethylated genes, a large number was encoding different histone methyltransferases, such as the Arabidopsis SU(VAR)3-9 homologues SUVH2, SUVH5, SUVH8, involved in H3K9 methylation, or the PRC2 subunit CURLY LEAF (CLF), involved in H3K27 methylation. Following this work, the progeny of heat-stressed plants was used to explore epigenetic variations under both normal and stressed conditions, in comparison to the progeny of control plants [146]. Similarly to salt stress, the progeny of plants exposed to heat stress had a global decrease of genomic DNA methylation and a reduced expression of several SUVH genes, which correlated with their enrichment in H3K9me2. Together, the hypermethylation of SUVH genes in the progeny of stressed plants may represent a protective mechanism against hypermethylation of the entire genome. Interestingly, in both works [145, 146], the transposon expression was elevated in the progeny of stressed plants. Because main targets of the SUVH pathway are transposable elements [24], the authors proposed that a decrease in the expression of SUVH genes might contribute to transposon activation, which at opportune times can create intragenomic potential upon transposition to facilitate adaptation in response to environmental changes [147]. In summary, these works suggested a role for histone methylation in the inheritance of stress memory; however, whether histone methylation changes are heritable through multiple generations and whether they sustain the acquisition of adaptive traits is still a matter of debate [148]. However, the evidence to date favours the view that stress-induced transgenerational changes in chromatin might increase the survival chances of the plant species, rather than each individual, by broadening the phenotypic plasticity and the genetic variation within the population [149, 150].
Recent advances, especially in Arabidopsis, have uncovered that chromatin remodelling through histone methylation changes are not only restricted to developmental needs but also an integral part of the very complex cascade of events that lead to abiotic/biotic stress tolerance, resistance and short-/long-term memory. Currently, a preliminary view is emerging, indicating that histone methylation changes, providing specific chromatin configurations, can be classified into several interrelated categories when involved in stress responses (Fig. 1): (i) histone methylation changes that are basally present on stress-related genes to establish a ‘permissive’ chromatin state that may either limit the spreading of repressive chromatin marks and/or potentiate a rapid transcriptional induction upon need; (ii) histone methylation changes that are transiently induced from an inactive or a permissive chromatin state by stress, to either facilitate the transcriptional initiation and/or reinforce transcription of stress-responding genes, and finally, histone methylation changes that are established in response to a stress; (iii) maintained for a certain time during the lifespan of an individual (i.e. somatic memory) or (iv) transmitted to one or more subsequent generations (i.e. transgenerational memory).
Hypothetical model depicting the role of histone methylation/demethylation in regulating plant stress responses. (A) Plants exposed either to biotic or abiotic stresses integrate the signal stress into the cell nuclei, where it affects the chromatin structure through histone methylation changes. According to our knowledge, these histone methylation changes can be classified into several interrelated categories. (B) The permissive state represents a more loosened chromatin state that will either offer a protection against repressive marks (represented with nucleosomes in red) and/or potentiates a rapid transcriptional induction upon stress induction. (C) The induced state represents histone methylation changes that are transiently induced by a stress signal. If methylation changes occur early during the stress-response process, they might participate to the transcriptional induction of stress-responding genes, while if they occur later, they might reinforce the transcription of stress-responding genes. Both permissive and the induced states can be maintained allowing a faster and/or stronger transcriptional induction of stress-responding genes upon a subsequent challenge. The memorized chromatin state can be maintained (D) for a certain time during the lifespan of an individual and referred as the somatic memory, or (E) transmitted to one or more subsequent generations and referred as the transgenerational memory.
Nonetheless, this emerging view is facing many gaps, inaccuracies and divergences, mainly related to numerous difficulties inherent to the study of such a dynamic and acute process. In this respect, plants in nature are usually challenged simultaneously by different kinds of stresses. Responses to these stress combinations are largely controlled by different signalling pathways that can interact in a non-additive manner, producing effects that could not have been predicted from the study of either stress individually [151, 152]. The occurrence of simultaneous biotic and abiotic stresses introduces an added degree of complexity that requires stresses to be imposed simultaneously and to treat each set of environmental conditions as an entirely new stress. For this reason and to clarify the mechanism behind the regulation of stress responses by histone methylation changes, there is a strong necessity to intensify our investigations. For instance, the correlation between histone methylation/demethylation and stress responses remains elusive and clarifications will require in-depth dynamic approaches based on comparative analyses of both epigenomes and transcriptomes during stress responses. In parallel, current knowledge about the corresponding histone-modifying enzymes is still largely missing. This lack of knowledge is pending on the identification of different stress-responsive histone modifiers and will require large-scale screens and genetic analyses for the sensitivity of different histone methyltransferases/demethylases mutants to various stresses, combined or not. Among other factors governing stress-induced chromatin changes, almost nothing is known about the specific reader/effector that will recognize particular histone methylation sites in order to determine their functional and structural outcome. An effort in this direction will most likely benefit the comprehensive understanding of the fundamental mechanisms connecting histone methylation changes with the modulation of transcription of stress-responsive genes, subsequently enabling plant to withstand stress. Higher-resolution chromatin studies are undoubtedly required to reveal the targeted stress-responsive genes and the specific sites of histone methylation/demethylation. Nevertheless, investigation of the direct effects of histone methylation/demethylation in plants is difficult. One reason is that plant genomes harbour high-copy number of histone genes (e.g. the Arabidopsis genome comprises 47 genes that encode 33 different core histone proteins; www.chromdb.org) and the incorporation/modification of such variants can result in the formation of chromatins with particular properties and functions [153–155]. Although ChIP assays have proven valuable in helping to identify histone methylation changes, many antibodies used to detect these changes have been so far unable to distinguish between different variants. New technologies (e.g. generation of mutants with point mutations targeting amino acid in the N-terminal tail of histone using the clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPER-associated (Cas) system) [156] will need to be explored to unravel histone methylation changes of specific histone variants and their functions. Another challenge is that plants consist of many functionally specialized tissues and cell types, each with its own unique epigenome, transcriptome and proteome. Until now, histone methylation changes induced by stresses were exclusively addressed in entire plant or organs, meaning that the obtained profiles most likely reflect the consensus of multiple tissue- or cell-specific profiles that may differ. New methods allowing the mapping of chromatin features in specific tissue/cell types such as the one described by Wang and Deal [157] will be decisive for determining the cell-/tissue-specific chromatin alterations involved in a particular stress response. Finally, as plants have finite resources that must be balanced between growth and defence against stresses, often resulting in a growth or yield penalty, histone methylation changes in response to stress should be integrated in a more global developmental view, taking into account the involvement of several histone methyltransferases/demethylases in various processes such as root growth, flowering time, floral organogenesis, gametophyte or embryo formation [33]. Finally, understanding such regulatory network is an essential step to provide both novel paradigms and potential tools for further exploitation towards sustainable agriculture.
This work was supported by the Centre National de la Recherche Scientifique, the Agence Nationale de la Recherche (ANR-12-BSV2-0013-02), the European Commission (FP7-PEOPLE-2013-ITN, grant number 607880), the National Council of Science and Technology of Mexico (CONACYT) and the Program ‘Estancias Posdoctorales y Sabaticas al Extranjero’ (Fellowship number 237557. BOBADILLA-LANDEY Roberto; CVU:162391).
In public health related studies, the virus of measles is considered as highly epidemic and responsible for serious diseases. According to the medical dictionary, measles virus infects the lungs in children, which can cause pneumonia in older children, can cause inflammation of the brain, called encephalitis, which can cause seizures and brain damage [1]. As a preventive measure, adequate vaccination is introduced in early childhood to acquire immunity against measles virus. According to the Integrated Child Development Services Program (ICDS) in India, a child should have received the basic vaccines (BCG, polio, DPT and measles) at 12–23 months of age.
In this regard, the World Health Organization (WHO) launched the Expanded Program on Immunization (EPI) in May 1974 to immunize children around the world. Since then, it has been widely used to access coverage. India launched the National Vaccination Program entitled Expanded Programme of Immunization in 1978 with the introduction of the BCG, OPV, DPT and anti-typhoid-paratyphoid vaccine. The EPI was renamed and launched, with a major change in list of vaccinations, as the Universal Vaccination Program on 19 November 1985. The measles vaccine [2] has been added to latest schedule.
To study the vaccination coverage a few among various sampling procedures and are the most popular viz., lot quality assurance sampling (LQAS) [3, 4], systematic sampling, cluster sampling [5] and stratified sampling [6], are based on simple random sampling (SRS) either at one stage or subsequent stage. In most of the practical situations to obtain actual measurement of an observation is not relatively easy and economical, but ranking a small subset of auxiliary information about a sample is relatively easy, economical and reliable. McIntyre in 1952 [7] have introduced the procedure of ranked set sampling (RSS), as an alternative, which is highly beneficial and much superior to the standard SRS, for estimating population parameters. In RSS procedure a set of units is randomly drawn from the population and the selected units are ranked by using judgment method or by other means which does not require actual measurement. Only the unit possessing lowest rank is measured for this set of units. Next, a second set of units of the same size is drawn as earlier and ranked; then the unit at the second lowest position is measured. This procedure of ranking and measuring is continued until we get as many observations as the size of the set. This entire procedure is regarded as a cycle. The process of cycle formation will be continued until the desired sample size is obtained for analysis.
Based on real-life primary data, in the present study, the procedure of RSS is investigated against SRS for estimating the proportion of children aged 12–23 months of slum and non-slum households of Guwahati, the capital city of state Assam, India, who are not immunized with the vaccine against measles. The information on a total of 500 (260 slum and 240 non-slum) households, were obtained after being ranked using mother’s age 15–49 years (in months), as auxiliary variable is used as auxiliary variable. The data of the same size is obtained by following the SRS procedure, for the evaluation of the performance and effectiveness of the RSS estimator compared to SRS estimator.
The study population is a representative cross-sectional sample of children aged 12–23 months to mothers aged 15–49 of Guwahati City, India. Five hundred households, following both SRS and RSS procedures, having the children of age from 6 months to 5 years were identified for the present study. Following the SRS technique, from both slum and non-slum regions, a sample 250 households were obtained. Among the selected 500 households under RSS, 260 were residents of slum region whereas remaining 240 are of non-slum parts of the Guwahati City. The variable considered in the study is the proportion of children in Guwahati City, India who are not immunized with the vaccine against measles. It is assumed that the case of receiving the vaccination of children usually depends on the awareness of the child’s mother on immunization. Lower the age of a mother who has children aged 12–23 months, lower would be the consciousness as expected. Therefore, the age of the mother (in months) was used as a ranking variable in RSS for classification of the sample. Information on children was obtained by a face to face interview with the mothers. Mothers were selected through RSS conducted in Guwahati City.
The observation were divided into m sets of size four (
A simple random sample of units s2 is selected from the target population and is distributed randomly in sets s, each with s units.
In each set s, the units are ranked according to the age of the mother. Since the samples in different sets are ranked according to the age of the mother (1, 2, 3, 4). Obviously, there is a high chance of having ties then in this situation, the observations are ordered systematically in sequence, as explained by Terpstra and Nelson (2005).
From the first set, the unit corresponds to the mother with the lowest age (in months) is selected. From the second set, the unit corresponds to the mother with the second lowest age is selected and so on. Finally, from sth set, the unit corresponding to the mother with the highest age is selected. The other s(s − 1) sampled units are discarded from the data set.
Steps 1–3, called a cycle, are repeated m times to obtain a ranked set sample of size ms.
Corresponding to each selected mother, information regarding whether her child is administrated with measles vaccination or not is collected.
Suppose X is the binary response that takes value “1” if the child is vaccinated with measles vaccine and “0” otherwise. Let
where
Obviously,
For a dichotomous population, estimation of population proportion
where
Applying standard maximum likelihood (ML) principle the ML estimate of
Given the RSS data, the form of likelihood function of
Here, it can be shown that, for each
where
Let
The discussion done in the previous sections are based on the assumption that the ranking procedure produces the correct order statistics. But, a perfect ranking mechanism is very rare in practice and hence some error in judgment ranking is inevitable. So it is necessary to study how much robust the proposed procedure is against when the rankings are not perfect. Estimation of
Let
That is,
Equivalently,
where
Here “
1.
Justification:
and hence
so that
2. For equal sample size, i.e.,
Justification: For all
one can get under ranked set sampling with the presence of ranking error
Also, for the above choice of
Now, from the definition of
As we know that the variance of
The justification in case of perfect ranking follows automatically by taking
It is easy to argue that the ML estimates
The comparison of effectiveness and efficiency of the estimators based on simple random samples and ranked set samples, is obtained on the basis of criteria viz., relative precision (RP) and relative saving (RS). The expressions for RP, RS and MSE of the estimators are described below as
Table 1 shows the estimates of proportion of measles immunized children in Assam, under SRS and RSS are very different but RSS based estimates 0.80 and 0.92 are very close to Census report for Assam (2012) [20] true value, which is 0.84 (rural) and 0.90 (urban), and has less variability than the SRS estimator and are very distinct from the true values. The estimate based on RSS is found to be 58% and 142%, for slum and non-slum region, respectively, more precision than that of SRS. Here, smaller the value of
Region | Criteria | n | SRS | s | m | RSS perfect | RSS imperfect | ||
---|---|---|---|---|---|---|---|---|---|
Slum | Estimate | 250 | 0.64 | 4 | 65 | 0.80 | 0.80 | 0.80 | 0.80 |
Variance | 0.92 | 0.58 | 0.62 | 0.62 | 0.59 | ||||
RP | 1.58 | 1.48 | 1.50 | 1.56 | |||||
RS | 36.83 | 32.29 | 33.27 | 35.70 | |||||
Non-slum | Estimate | 250 | 0.74 | 4 | 60 | 0.92 | 0.92 | 0.92 | 0.92 |
Variance | 0.76 | 0.32 | 0.32 | 0.32 | 0.32 | ||||
RP | 2.42 | 2.39 | 2.40 | 2.41 | |||||
RS | 58.60 | 58.22 | 58.30 | 58.51 |
Estimate of proportion of immunized children (
The present study revealed that RSS based estimates in both of perfect and imperfect situations, performs better than SRS based estimates. It should also be emphasized in context of estimation of proportion of measles immunization coverage in slum and non-slum region of Assam, RSS based estimates for different choices of accuracy (ρ) are not only more accurate but are more precise and efficient than the SRS procedure, and also suggest that the procedure of RSS is better than the classical SRS. Therefore, based on the obtained results one can recommend to adopt RSS procedure in epidemiological application and in other health related studies so that it will help in planning to build a healthy and disease free environment.
The first author would like to express his deepest gratitude and sincere thanks to the Department of Science & Technology, India (Grant No. IF130365) for funding. The second author acknowledges the financial support provided by Indian Council of Medical Research (ICMR), New Delhi (Grant No-69/40/2008 ECD-II). The authors would like to thank the anonymous referees and editorial board for their constructive comments and suggestions to improve the quality of this manuscript.
All Works published by IntechOpen prior to October 2011 are licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported license (CC BY-BC-SA 3.0). Works published after October 2011 are licensed under a Creative Commons Attribution 3.0 Unported license (CC BY 3.0), the latter allowing for the broadest possible reuse of published material.
",metaTitle:"Translation Policy",metaDescription:"Translation of Works - Book Chapters",metaKeywords:null,canonicalURL:"/page/translation-policy",contentRaw:'[{"type":"htmlEditorComponent","content":"All Works licensed under CC BY-BC-SA 3.0 can be freely translated and used for non-commercial purposes. Works licensed under CC BY 3.0 license can be freely translated and used for both commercial and non-commercial purposes.
\\n\\nAll translated Chapters have to be properly attributed in accordance with the requirements included in IntechOpen's Attribution Policy. Besides proper attribution translated sections of Works must include the following sentence: "This is an unofficial translation of a work published by IntechOpen. The publisher has not endorsed this translation".
\\n\\nAll rights to Books and other compilations are reserved by IntechOpen. The copyright to Books and other compilations is subject to a Copyright separate from any that exists in the included Works.
\\n\\nA Book in its entirety, or a significant part of a Book, cannot be translated freely without specific written consent by the publisher. Requests for permission can be made at permissions@intechopen.com.
\\n\\nPolicy last updated: 2016-06-09
\\n"}]'},components:[{type:"htmlEditorComponent",content:'All Works licensed under CC BY-BC-SA 3.0 can be freely translated and used for non-commercial purposes. Works licensed under CC BY 3.0 license can be freely translated and used for both commercial and non-commercial purposes.
\n\nAll translated Chapters have to be properly attributed in accordance with the requirements included in IntechOpen's Attribution Policy. Besides proper attribution translated sections of Works must include the following sentence: "This is an unofficial translation of a work published by IntechOpen. The publisher has not endorsed this translation".
\n\nAll rights to Books and other compilations are reserved by IntechOpen. The copyright to Books and other compilations is subject to a Copyright separate from any that exists in the included Works.
\n\nA Book in its entirety, or a significant part of a Book, cannot be translated freely without specific written consent by the publisher. Requests for permission can be made at permissions@intechopen.com.
\n\nPolicy last updated: 2016-06-09
\n'}]},successStories:{items:[]},authorsAndEditors:{filterParams:{sort:"featured,name"},profiles:[{id:"6700",title:"Dr.",name:"Abbass A.",middleName:null,surname:"Hashim",slug:"abbass-a.-hashim",fullName:"Abbass A. Hashim",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/6700/images/1864_n.jpg",biography:"Currently I am carrying out research in several areas of interest, mainly covering work on chemical and bio-sensors, semiconductor thin film device fabrication and characterisation.\nAt the moment I have very strong interest in radiation environmental pollution and bacteriology treatment. The teams of researchers are working very hard to bring novel results in this field. I am also a member of the team in charge for the supervision of Ph.D. students in the fields of development of silicon based planar waveguide sensor devices, study of inelastic electron tunnelling in planar tunnelling nanostructures for sensing applications and development of organotellurium(IV) compounds for semiconductor applications. I am a specialist in data analysis techniques and nanosurface structure. I have served as the editor for many books, been a member of the editorial board in science journals, have published many papers and hold many patents.",institutionString:null,institution:{name:"Sheffield Hallam University",country:{name:"United Kingdom"}}},{id:"54525",title:"Prof.",name:"Abdul Latif",middleName:null,surname:"Ahmad",slug:"abdul-latif-ahmad",fullName:"Abdul Latif Ahmad",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:null},{id:"20567",title:"Prof.",name:"Ado",middleName:null,surname:"Jorio",slug:"ado-jorio",fullName:"Ado Jorio",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Universidade Federal de Minas Gerais",country:{name:"Brazil"}}},{id:"47940",title:"Dr.",name:"Alberto",middleName:null,surname:"Mantovani",slug:"alberto-mantovani",fullName:"Alberto Mantovani",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:null},{id:"12392",title:"Mr.",name:"Alex",middleName:null,surname:"Lazinica",slug:"alex-lazinica",fullName:"Alex Lazinica",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/12392/images/7282_n.png",biography:"Alex Lazinica is the founder and CEO of IntechOpen. After obtaining a Master's degree in Mechanical Engineering, he continued his PhD studies in Robotics at the Vienna University of Technology. Here he worked as a robotic researcher with the university's Intelligent Manufacturing Systems Group as well as a guest researcher at various European universities, including the Swiss Federal Institute of Technology Lausanne (EPFL). During this time he published more than 20 scientific papers, gave presentations, served as a reviewer for major robotic journals and conferences and most importantly he co-founded and built the International Journal of Advanced Robotic Systems- world's first Open Access journal in the field of robotics. Starting this journal was a pivotal point in his career, since it was a pathway to founding IntechOpen - Open Access publisher focused on addressing academic researchers needs. Alex is a personification of IntechOpen key values being trusted, open and entrepreneurial. Today his focus is on defining the growth and development strategy for the company.",institutionString:null,institution:{name:"TU Wien",country:{name:"Austria"}}},{id:"19816",title:"Prof.",name:"Alexander",middleName:null,surname:"Kokorin",slug:"alexander-kokorin",fullName:"Alexander Kokorin",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/19816/images/1607_n.jpg",biography:"Alexander I. Kokorin: born: 1947, Moscow; DSc., PhD; Principal Research Fellow (Research Professor) of Department of Kinetics and Catalysis, N. Semenov Institute of Chemical Physics, Russian Academy of Sciences, Moscow.\nArea of research interests: physical chemistry of complex-organized molecular and nanosized systems, including polymer-metal complexes; the surface of doped oxide semiconductors. He is an expert in structural, absorptive, catalytic and photocatalytic properties, in structural organization and dynamic features of ionic liquids, in magnetic interactions between paramagnetic centers. The author or co-author of 3 books, over 200 articles and reviews in scientific journals and books. He is an actual member of the International EPR/ESR Society, European Society on Quantum Solar Energy Conversion, Moscow House of Scientists, of the Board of Moscow Physical Society.",institutionString:null,institution:null},{id:"62389",title:"PhD.",name:"Ali Demir",middleName:null,surname:"Sezer",slug:"ali-demir-sezer",fullName:"Ali Demir Sezer",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/62389/images/3413_n.jpg",biography:"Dr. Ali Demir Sezer has a Ph.D. from Pharmaceutical Biotechnology at the Faculty of Pharmacy, University of Marmara (Turkey). He is the member of many Pharmaceutical Associations and acts as a reviewer of scientific journals and European projects under different research areas such as: drug delivery systems, nanotechnology and pharmaceutical biotechnology. Dr. Sezer is the author of many scientific publications in peer-reviewed journals and poster communications. Focus of his research activity is drug delivery, physico-chemical characterization and biological evaluation of biopolymers micro and nanoparticles as modified drug delivery system, and colloidal drug carriers (liposomes, nanoparticles etc.).",institutionString:null,institution:{name:"Marmara University",country:{name:"Turkey"}}},{id:"61051",title:"Prof.",name:"Andrea",middleName:null,surname:"Natale",slug:"andrea-natale",fullName:"Andrea Natale",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:null},{id:"100762",title:"Prof.",name:"Andrea",middleName:null,surname:"Natale",slug:"andrea-natale",fullName:"Andrea Natale",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"St David's Medical Center",country:{name:"United States of America"}}},{id:"107416",title:"Dr.",name:"Andrea",middleName:null,surname:"Natale",slug:"andrea-natale",fullName:"Andrea Natale",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Texas Cardiac Arrhythmia",country:{name:"United States of America"}}},{id:"64434",title:"Dr.",name:"Angkoon",middleName:null,surname:"Phinyomark",slug:"angkoon-phinyomark",fullName:"Angkoon Phinyomark",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/64434/images/2619_n.jpg",biography:"My name is Angkoon Phinyomark. I received a B.Eng. degree in Computer Engineering with First Class Honors in 2008 from Prince of Songkla University, Songkhla, Thailand, where I received a Ph.D. degree in Electrical Engineering. My research interests are primarily in the area of biomedical signal processing and classification notably EMG (electromyography signal), EOG (electrooculography signal), and EEG (electroencephalography signal), image analysis notably breast cancer analysis and optical coherence tomography, and rehabilitation engineering. I became a student member of IEEE in 2008. During October 2011-March 2012, I had worked at School of Computer Science and Electronic Engineering, University of Essex, Colchester, Essex, United Kingdom. In addition, during a B.Eng. I had been a visiting research student at Faculty of Computer Science, University of Murcia, Murcia, Spain for three months.\n\nI have published over 40 papers during 5 years in refereed journals, books, and conference proceedings in the areas of electro-physiological signals processing and classification, notably EMG and EOG signals, fractal analysis, wavelet analysis, texture analysis, feature extraction and machine learning algorithms, and assistive and rehabilitative devices. I have several computer programming language certificates, i.e. Sun Certified Programmer for the Java 2 Platform 1.4 (SCJP), Microsoft Certified Professional Developer, Web Developer (MCPD), Microsoft Certified Technology Specialist, .NET Framework 2.0 Web (MCTS). I am a Reviewer for several refereed journals and international conferences, such as IEEE Transactions on Biomedical Engineering, IEEE Transactions on Industrial Electronics, Optic Letters, Measurement Science Review, and also a member of the International Advisory Committee for 2012 IEEE Business Engineering and Industrial Applications and 2012 IEEE Symposium on Business, Engineering and Industrial Applications.",institutionString:null,institution:{name:"Joseph Fourier University",country:{name:"France"}}},{id:"55578",title:"Dr.",name:"Antonio",middleName:null,surname:"Jurado-Navas",slug:"antonio-jurado-navas",fullName:"Antonio Jurado-Navas",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/55578/images/4574_n.png",biography:"Antonio Jurado-Navas received the M.S. degree (2002) and the Ph.D. degree (2009) in Telecommunication Engineering, both from the University of Málaga (Spain). He first worked as a consultant at Vodafone-Spain. From 2004 to 2011, he was a Research Assistant with the Communications Engineering Department at the University of Málaga. In 2011, he became an Assistant Professor in the same department. From 2012 to 2015, he was with Ericsson Spain, where he was working on geo-location\ntools for third generation mobile networks. Since 2015, he is a Marie-Curie fellow at the Denmark Technical University. His current research interests include the areas of mobile communication systems and channel modeling in addition to atmospheric optical communications, adaptive optics and statistics",institutionString:null,institution:{name:"University of Malaga",country:{name:"Spain"}}}],filtersByRegion:[{group:"region",caption:"North America",value:1,count:5313},{group:"region",caption:"Middle and South America",value:2,count:4819},{group:"region",caption:"Africa",value:3,count:1468},{group:"region",caption:"Asia",value:4,count:9362},{group:"region",caption:"Australia and Oceania",value:5,count:837},{group:"region",caption:"Europe",value:6,count:14778}],offset:12,limit:12,total:108153},chapterEmbeded:{data:{}},editorApplication:{success:null,errors:{}},ofsBooks:{filterParams:{topicId:"11"},books:[{type:"book",id:"6837",title:"Lithium-ion Batteries - Thin Film for Energy Materials and Devices",subtitle:null,isOpenForSubmission:!0,hash:"ea7789260b319b9a4b472257f57bfeb5",slug:null,bookSignature:"Prof. Mitsunobu Sato, Dr. Li Lu and Dr. Hiroki Nagai",coverURL:"https://cdn.intechopen.com/books/images_new/6837.jpg",editedByType:null,editors:[{id:"179615",title:"Prof.",name:"Mitsunobu",surname:"Sato",slug:"mitsunobu-sato",fullName:"Mitsunobu Sato"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"6842",title:"Aerosols",subtitle:null,isOpenForSubmission:!0,hash:"efe043290c576559ee15f293bc924f65",slug:null,bookSignature:"",coverURL:"https://cdn.intechopen.com/books/images_new/6842.jpg",editedByType:null,editors:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"7030",title:"Satellite Systems - Design, Modeling, Simulation and Analysis",subtitle:null,isOpenForSubmission:!0,hash:"b9db6d2645ef248ceb1b33ea75f38e88",slug:null,bookSignature:"Dr. Tien Manh Nguyen",coverURL:"https://cdn.intechopen.com/books/images_new/7030.jpg",editedByType:null,editors:[{id:"210657",title:"Dr.",name:"Tien",surname:"Nguyen",slug:"tien-nguyen",fullName:"Tien Nguyen"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"7395",title:"Atmospheric Pressure Plasma",subtitle:null,isOpenForSubmission:!0,hash:"6deb4387910df1691c5b8d0d3260cbd5",slug:null,bookSignature:"",coverURL:"https://cdn.intechopen.com/books/images_new/7395.jpg",editedByType:null,editors:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"7416",title:"Compound Engine",subtitle:null,isOpenForSubmission:!0,hash:"e7901967cd17843e83c855abd4014838",slug:null,bookSignature:"",coverURL:"https://cdn.intechopen.com/books/images_new/7416.jpg",editedByType:null,editors:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"7638",title:"Massive Multiple-input Multiple-output Systems",subtitle:null,isOpenForSubmission:!0,hash:"f6e96802bc79d6b8b0bab9ad24980cbc",slug:null,bookSignature:"Dr. Sudhakar Radhakrishnan",coverURL:"https://cdn.intechopen.com/books/images_new/7638.jpg",editedByType:null,editors:[{id:"26327",title:"Dr.",name:"Sudhakar",surname:"Radhakrishnan",slug:"sudhakar-radhakrishnan",fullName:"Sudhakar Radhakrishnan"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"7741",title:"Organic Field-Effect Transistors",subtitle:null,isOpenForSubmission:!0,hash:"787c5b02acbbf3f4efda634be5e6f3c0",slug:null,bookSignature:"Dr. Jonathan Sayago",coverURL:"https://cdn.intechopen.com/books/images_new/7741.jpg",editedByType:null,editors:[{id:"198513",title:"Dr.",name:"Jonathan",surname:"Sayago",slug:"jonathan-sayago",fullName:"Jonathan Sayago"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"7771",title:"Dependability Engineering",subtitle:null,isOpenForSubmission:!0,hash:"37247080c87485c80a9fc393b2bdc50e",slug:null,bookSignature:"Dr. Leo Dimitrios Kounis",coverURL:"https://cdn.intechopen.com/books/images_new/7771.jpg",editedByType:null,editors:[{id:"111582",title:"Dr.",name:"Leo",surname:"Kounis",slug:"leo-kounis",fullName:"Leo Kounis"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"7772",title:"Systems of Systems - Engineering, Modeling, Simulation and Analysis",subtitle:null,isOpenForSubmission:!0,hash:"677fbbd5fc2550e8be540f40c0969a62",slug:null,bookSignature:"Dr. Tien Manh Nguyen",coverURL:"https://cdn.intechopen.com/books/images_new/7772.jpg",editedByType:null,editors:[{id:"210657",title:"Dr.",name:"Tien",surname:"Nguyen",slug:"tien-nguyen",fullName:"Tien Nguyen"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"7783",title:"Polyimide for Electronic and Electrical Engineering Applications",subtitle:null,isOpenForSubmission:!0,hash:"736e80c9bf791829c9a74ac05abb04b7",slug:null,bookSignature:"Dr. Sombel Diaham",coverURL:"https://cdn.intechopen.com/books/images_new/7783.jpg",editedByType:null,editors:[{id:"57115",title:"Dr.",name:"Sombel",surname:"Diaham",slug:"sombel-diaham",fullName:"Sombel Diaham"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"8031",title:"Pavement Engineering",subtitle:null,isOpenForSubmission:!0,hash:"1d8ae1b3b3a208c2b16c1ff852e14207",slug:null,bookSignature:"Dr. Sameh Zaghloul",coverURL:"https://cdn.intechopen.com/books/images_new/8031.jpg",editedByType:null,editors:[{id:"269407",title:"Dr.",name:"Sameh",surname:"Zaghloul",slug:"sameh-zaghloul",fullName:"Sameh Zaghloul"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"8084",title:"Mechanical Properties of Bamboo",subtitle:null,isOpenForSubmission:!0,hash:"93a82c83d0f81eace906cc1f99809495",slug:null,bookSignature:"",coverURL:"https://cdn.intechopen.com/books/images_new/8084.jpg",editedByType:null,editors:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}}],filtersByTopic:[{group:"topic",caption:"Agricultural and Biological Sciences",value:5,count:35},{group:"topic",caption:"Biochemistry, Genetics and Molecular Biology",value:6,count:32},{group:"topic",caption:"Business, Management and Economics",value:7,count:9},{group:"topic",caption:"Chemistry",value:8,count:29},{group:"topic",caption:"Computer and Information Science",value:9,count:26},{group:"topic",caption:"Earth and Planetary Sciences",value:10,count:14},{group:"topic",caption:"Engineering",value:11,count:75},{group:"topic",caption:"Environmental Sciences",value:12,count:13},{group:"topic",caption:"Immunology and Microbiology",value:13,count:3},{group:"topic",caption:"Materials Science",value:14,count:37},{group:"topic",caption:"Mathematics",value:15,count:14},{group:"topic",caption:"Medicine",value:16,count:137},{group:"topic",caption:"Nanotechnology and Nanomaterials",value:17,count:5},{group:"topic",caption:"Neuroscience",value:18,count:6},{group:"topic",caption:"Pharmacology, Toxicology and Pharmaceutical Science",value:19,count:8},{group:"topic",caption:"Physics",value:20,count:19},{group:"topic",caption:"Psychology",value:21,count:2},{group:"topic",caption:"Robotics",value:22,count:6},{group:"topic",caption:"Social Sciences",value:23,count:13},{group:"topic",caption:"Technology",value:24,count:10},{group:"topic",caption:"Veterinary Medicine and Science",value:25,count:3},{group:"topic",caption:"Intelligent System",value:535,count:1}],offset:12,limit:12,total:109},popularBooks:{featuredBooks:[{type:"book",id:"7878",title:"Advances in Extracorporeal Membrane Oxygenation",subtitle:"Volume 3",isOpenForSubmission:!1,hash:"f95bf990273d08098a00f9a1c2403cbe",slug:"advances-in-extracorporeal-membrane-oxygenation-volume-3",bookSignature:"Michael S. Firstenberg",coverURL:"https://cdn.intechopen.com/books/images_new/7878.jpg",editors:[{id:"64343",title:null,name:"Michael S.",middleName:"S",surname:"Firstenberg",slug:"michael-s.-firstenberg",fullName:"Michael S. Firstenberg"}],productType:{id:"1",chapterContentType:"chapter"}},{type:"book",id:"8299",title:"Timber Buildings and Sustainability",subtitle:null,isOpenForSubmission:!1,hash:"bccf2891cec38ed041724131aa34c25a",slug:"timber-buildings-and-sustainability",bookSignature:"Giovanna Concu",coverURL:"https://cdn.intechopen.com/books/images_new/8299.jpg",editors:[{id:"108709",title:"Dr.",name:"Giovanna",middleName:null,surname:"Concu",slug:"giovanna-concu",fullName:"Giovanna Concu"}],productType:{id:"1",chapterContentType:"chapter"}},{type:"book",id:"7614",title:"Fourier Transforms",subtitle:"Century of Digitalization and Increasing Expectations",isOpenForSubmission:!1,hash:"ff3501657ae983a3b42fef1f7058ac91",slug:"fourier-transforms-century-of-digitalization-and-increasing-expectations",bookSignature:"Goran S. Nikoli? and Dragana Z. Markovi?-Nikoli?",coverURL:"https://cdn.intechopen.com/books/images_new/7614.jpg",editors:[{id:"23261",title:"Prof.",name:"Goran",middleName:"S.",surname:"Nikolic",slug:"goran-nikolic",fullName:"Goran Nikolic"}],productType:{id:"1",chapterContentType:"chapter"}},{type:"book",id:"7062",title:"Rhinosinusitis",subtitle:null,isOpenForSubmission:!1,hash:"14ed95e155b1e57a61827ca30b579d09",slug:"rhinosinusitis",bookSignature:"Balwant Singh Gendeh and Mirjana Turkalj",coverURL:"https://cdn.intechopen.com/books/images_new/7062.jpg",editors:[{id:"67669",title:"Prof.",name:"Balwant Singh",middleName:null,surname:"Gendeh",slug:"balwant-singh-gendeh",fullName:"Balwant Singh Gendeh"}],productType:{id:"1",chapterContentType:"chapter"}},{type:"book",id:"7087",title:"Tendons",subtitle:null,isOpenForSubmission:!1,hash:"786abac0445c102d1399a1e727a2db7f",slug:"tendons",bookSignature:"Hasan Sözen",coverURL:"https://cdn.intechopen.com/books/images_new/7087.jpg",editors:[{id:"161402",title:"Dr.",name:"Hasan",middleName:null,surname:"Sözen",slug:"hasan-sozen",fullName:"Hasan Sözen"}],productType:{id:"1",chapterContentType:"chapter"}},{type:"book",id:"7955",title:"Advances in Hematologic Malignancies",subtitle:null,isOpenForSubmission:!1,hash:"59ca1b09447fab4717a93e099f646d28",slug:"advances-in-hematologic-malignancies",bookSignature:"Gamal Abdul Hamid",coverURL:"https://cdn.intechopen.com/books/images_new/7955.jpg",editors:[{id:"36487",title:"Prof.",name:"Gamal",middleName:null,surname:"Abdul Hamid",slug:"gamal-abdul-hamid",fullName:"Gamal Abdul Hamid"}],productType:{id:"1",chapterContentType:"chapter"}},{type:"book",id:"7701",title:"Assistive and Rehabilitation Engineering",subtitle:null,isOpenForSubmission:!1,hash:"4191b744b8af3b17d9a80026dcb0617f",slug:"assistive-and-rehabilitation-engineering",bookSignature:"Yves Rybarczyk",coverURL:"https://cdn.intechopen.com/books/images_new/7701.jpg",editors:[{id:"72920",title:"Prof.",name:"Yves",middleName:"Philippe",surname:"Rybarczyk",slug:"yves-rybarczyk",fullName:"Yves Rybarczyk"}],productType:{id:"1",chapterContentType:"chapter"}},{type:"book",id:"7837",title:"Geriatric Medicine and Gerontology",subtitle:null,isOpenForSubmission:!1,hash:"e277d005b23536bcd9f8550046101979",slug:"geriatric-medicine-and-gerontology",bookSignature:"Edward T. Zawada Jr.",coverURL:"https://cdn.intechopen.com/books/images_new/7837.jpg",editors:[{id:"16344",title:"Dr.",name:"Edward T.",middleName:null,surname:"Zawada Jr.",slug:"edward-t.-zawada-jr.",fullName:"Edward T. Zawada Jr."}],productType:{id:"1",chapterContentType:"chapter"}},{type:"book",id:"7123",title:"Current Topics in Neglected Tropical Diseases",subtitle:null,isOpenForSubmission:!1,hash:"61c627da05b2ace83056d11357bdf361",slug:"current-topics-in-neglected-tropical-diseases",bookSignature:"Alfonso J. Rodriguez-Morales",coverURL:"https://cdn.intechopen.com/books/images_new/7123.jpg",editors:[{id:"131400",title:"Dr.",name:"Alfonso J.",middleName:null,surname:"Rodriguez-Morales",slug:"alfonso-j.-rodriguez-morales",fullName:"Alfonso J. Rodriguez-Morales"}],productType:{id:"1",chapterContentType:"chapter"}},{type:"book",id:"7610",title:"Renewable and Sustainable Composites",subtitle:null,isOpenForSubmission:!1,hash:"c2de26c3d329c54f093dc3f05417500a",slug:"renewable-and-sustainable-composites",bookSignature:"António B. Pereira and Fábio A. O. Fernandes",coverURL:"https://cdn.intechopen.com/books/images_new/7610.jpg",editors:[{id:"211131",title:"Prof.",name:"António",middleName:"Bastos",surname:"Pereira",slug:"antonio-pereira",fullName:"António Pereira"}],productType:{id:"1",chapterContentType:"chapter"}},{type:"book",id:"8416",title:"Non-Equilibrium Particle Dynamics",subtitle:null,isOpenForSubmission:!1,hash:"2c3add7639dcd1cb442cb4313ea64e3a",slug:"non-equilibrium-particle-dynamics",bookSignature:"Albert S. Kim",coverURL:"https://cdn.intechopen.com/books/images_new/8416.jpg",editors:[{id:"21045",title:"Prof.",name:"Albert S.",middleName:null,surname:"Kim",slug:"albert-s.-kim",fullName:"Albert S. Kim"}],productType:{id:"1",chapterContentType:"chapter"}},{type:"book",id:"8008",title:"Antioxidants",subtitle:null,isOpenForSubmission:!1,hash:"76361b4061e830906267933c1c670027",slug:"antioxidants",bookSignature:"Emad Shalaby",coverURL:"https://cdn.intechopen.com/books/images_new/8008.jpg",editors:[{id:"63600",title:"Prof.",name:"Emad",middleName:null,surname:"Shalaby",slug:"emad-shalaby",fullName:"Emad Shalaby"}],productType:{id:"1",chapterContentType:"chapter"}}],offset:12,limit:12,total:4392},hotBookTopics:{hotBooks:[],offset:0,limit:12,total:null},publish:{},publishingProposal:{success:null,errors:{}},books:{featuredBooks:[{type:"book",id:"7878",title:"Advances in Extracorporeal Membrane Oxygenation",subtitle:"Volume 3",isOpenForSubmission:!1,hash:"f95bf990273d08098a00f9a1c2403cbe",slug:"advances-in-extracorporeal-membrane-oxygenation-volume-3",bookSignature:"Michael S. Firstenberg",coverURL:"https://cdn.intechopen.com/books/images_new/7878.jpg",editors:[{id:"64343",title:null,name:"Michael S.",middleName:"S",surname:"Firstenberg",slug:"michael-s.-firstenberg",fullName:"Michael S. Firstenberg"}],productType:{id:"1",chapterContentType:"chapter"}},{type:"book",id:"8299",title:"Timber Buildings and Sustainability",subtitle:null,isOpenForSubmission:!1,hash:"bccf2891cec38ed041724131aa34c25a",slug:"timber-buildings-and-sustainability",bookSignature:"Giovanna Concu",coverURL:"https://cdn.intechopen.com/books/images_new/8299.jpg",editors:[{id:"108709",title:"Dr.",name:"Giovanna",middleName:null,surname:"Concu",slug:"giovanna-concu",fullName:"Giovanna Concu"}],productType:{id:"1",chapterContentType:"chapter"}},{type:"book",id:"7614",title:"Fourier Transforms",subtitle:"Century of Digitalization and Increasing Expectations",isOpenForSubmission:!1,hash:"ff3501657ae983a3b42fef1f7058ac91",slug:"fourier-transforms-century-of-digitalization-and-increasing-expectations",bookSignature:"Goran S. Nikoli? and Dragana Z. Markovi?-Nikoli?",coverURL:"https://cdn.intechopen.com/books/images_new/7614.jpg",editors:[{id:"23261",title:"Prof.",name:"Goran",middleName:"S.",surname:"Nikolic",slug:"goran-nikolic",fullName:"Goran Nikolic"}],productType:{id:"1",chapterContentType:"chapter"}},{type:"book",id:"7062",title:"Rhinosinusitis",subtitle:null,isOpenForSubmission:!1,hash:"14ed95e155b1e57a61827ca30b579d09",slug:"rhinosinusitis",bookSignature:"Balwant Singh Gendeh and Mirjana Turkalj",coverURL:"https://cdn.intechopen.com/books/images_new/7062.jpg",editors:[{id:"67669",title:"Prof.",name:"Balwant Singh",middleName:null,surname:"Gendeh",slug:"balwant-singh-gendeh",fullName:"Balwant Singh Gendeh"}],productType:{id:"1",chapterContentType:"chapter"}},{type:"book",id:"7087",title:"Tendons",subtitle:null,isOpenForSubmission:!1,hash:"786abac0445c102d1399a1e727a2db7f",slug:"tendons",bookSignature:"Hasan Sözen",coverURL:"https://cdn.intechopen.com/books/images_new/7087.jpg",editors:[{id:"161402",title:"Dr.",name:"Hasan",middleName:null,surname:"Sözen",slug:"hasan-sozen",fullName:"Hasan Sözen"}],productType:{id:"1",chapterContentType:"chapter"}},{type:"book",id:"7955",title:"Advances in Hematologic Malignancies",subtitle:null,isOpenForSubmission:!1,hash:"59ca1b09447fab4717a93e099f646d28",slug:"advances-in-hematologic-malignancies",bookSignature:"Gamal Abdul Hamid",coverURL:"https://cdn.intechopen.com/books/images_new/7955.jpg",editors:[{id:"36487",title:"Prof.",name:"Gamal",middleName:null,surname:"Abdul Hamid",slug:"gamal-abdul-hamid",fullName:"Gamal Abdul Hamid"}],productType:{id:"1",chapterContentType:"chapter"}},{type:"book",id:"7701",title:"Assistive and Rehabilitation Engineering",subtitle:null,isOpenForSubmission:!1,hash:"4191b744b8af3b17d9a80026dcb0617f",slug:"assistive-and-rehabilitation-engineering",bookSignature:"Yves Rybarczyk",coverURL:"https://cdn.intechopen.com/books/images_new/7701.jpg",editors:[{id:"72920",title:"Prof.",name:"Yves",middleName:"Philippe",surname:"Rybarczyk",slug:"yves-rybarczyk",fullName:"Yves Rybarczyk"}],productType:{id:"1",chapterContentType:"chapter"}},{type:"book",id:"7837",title:"Geriatric Medicine and Gerontology",subtitle:null,isOpenForSubmission:!1,hash:"e277d005b23536bcd9f8550046101979",slug:"geriatric-medicine-and-gerontology",bookSignature:"Edward T. Zawada Jr.",coverURL:"https://cdn.intechopen.com/books/images_new/7837.jpg",editors:[{id:"16344",title:"Dr.",name:"Edward T.",middleName:null,surname:"Zawada Jr.",slug:"edward-t.-zawada-jr.",fullName:"Edward T. Zawada Jr."}],productType:{id:"1",chapterContentType:"chapter"}},{type:"book",id:"7123",title:"Current Topics in Neglected Tropical Diseases",subtitle:null,isOpenForSubmission:!1,hash:"61c627da05b2ace83056d11357bdf361",slug:"current-topics-in-neglected-tropical-diseases",bookSignature:"Alfonso J. Rodriguez-Morales",coverURL:"https://cdn.intechopen.com/books/images_new/7123.jpg",editors:[{id:"131400",title:"Dr.",name:"Alfonso J.",middleName:null,surname:"Rodriguez-Morales",slug:"alfonso-j.-rodriguez-morales",fullName:"Alfonso J. Rodriguez-Morales"}],productType:{id:"1",chapterContentType:"chapter"}},{type:"book",id:"7610",title:"Renewable and Sustainable Composites",subtitle:null,isOpenForSubmission:!1,hash:"c2de26c3d329c54f093dc3f05417500a",slug:"renewable-and-sustainable-composites",bookSignature:"António B. Pereira and Fábio A. O. Fernandes",coverURL:"https://cdn.intechopen.com/books/images_new/7610.jpg",editors:[{id:"211131",title:"Prof.",name:"António",middleName:"Bastos",surname:"Pereira",slug:"antonio-pereira",fullName:"António Pereira"}],productType:{id:"1",chapterContentType:"chapter"}}],latestBooks:[{type:"book",id:"8463",title:"Pediatric Surgery, Flowcharts and Clinical Algorithms",subtitle:null,isOpenForSubmission:!1,hash:"23f39beea4d557b0ae424e2eaf82bf5e",slug:"pediatric-surgery-flowcharts-and-clinical-algorithms",bookSignature:"Sameh Shehata",coverURL:"https://cdn.intechopen.com/books/images_new/8463.jpg",editedByType:"Edited by",editors:[{id:"37518",title:"Prof.",name:"Sameh",middleName:null,surname:"Shehata",slug:"sameh-shehata",fullName:"Sameh Shehata"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"7187",title:"Osteosarcoma",subtitle:"Diagnosis, Mechanisms, and Translational Developments",isOpenForSubmission:!1,hash:"89096359b754beb806eca4c6d8aacaba",slug:"osteosarcoma-diagnosis-mechanisms-and-translational-developments",bookSignature:"Matthew Gregory Cable and Robert Lawrence Randall",coverURL:"https://cdn.intechopen.com/books/images_new/7187.jpg",editedByType:"Edited by",editors:[{id:"265693",title:"Dr.",name:"Matthew Gregory",middleName:null,surname:"Cable",slug:"matthew-gregory-cable",fullName:"Matthew Gregory Cable"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"7955",title:"Advances in Hematologic Malignancies",subtitle:null,isOpenForSubmission:!1,hash:"59ca1b09447fab4717a93e099f646d28",slug:"advances-in-hematologic-malignancies",bookSignature:"Gamal Abdul Hamid",coverURL:"https://cdn.intechopen.com/books/images_new/7955.jpg",editedByType:"Edited by",editors:[{id:"36487",title:"Prof.",name:"Gamal",middleName:null,surname:"Abdul Hamid",slug:"gamal-abdul-hamid",fullName:"Gamal Abdul Hamid"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"7701",title:"Assistive and Rehabilitation Engineering",subtitle:null,isOpenForSubmission:!1,hash:"4191b744b8af3b17d9a80026dcb0617f",slug:"assistive-and-rehabilitation-engineering",bookSignature:"Yves Rybarczyk",coverURL:"https://cdn.intechopen.com/books/images_new/7701.jpg",editedByType:"Edited by",editors:[{id:"72920",title:"Prof.",name:"Yves",middleName:"Philippe",surname:"Rybarczyk",slug:"yves-rybarczyk",fullName:"Yves Rybarczyk"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"7726",title:"Swarm Intelligence",subtitle:"Recent Advances, New Perspectives and Applications",isOpenForSubmission:!1,hash:"e7ea7e74ce7a7a8e5359629e07c68d31",slug:"swarm-intelligence-recent-advances-new-perspectives-and-applications",bookSignature:"Javier Del Ser, Esther Villar and Eneko Osaba",coverURL:"https://cdn.intechopen.com/books/images_new/7726.jpg",editedByType:"Edited by",editors:[{id:"49813",title:"Dr.",name:"Javier",middleName:null,surname:"Del Ser",slug:"javier-del-ser",fullName:"Javier Del Ser"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"8256",title:"Distillation",subtitle:"Modelling, Simulation and Optimization",isOpenForSubmission:!1,hash:"c76af109f83e14d915e5cb3949ae8b80",slug:"distillation-modelling-simulation-and-optimization",bookSignature:"Vilmar Steffen",coverURL:"https://cdn.intechopen.com/books/images_new/8256.jpg",editedByType:"Edited by",editors:[{id:"189035",title:"Dr.",name:"Vilmar",middleName:null,surname:"Steffen",slug:"vilmar-steffen",fullName:"Vilmar Steffen"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"7240",title:"Growing and Handling of Bacterial Cultures",subtitle:null,isOpenForSubmission:!1,hash:"a76c3ef7718c0b72d0128817cdcbe6e3",slug:"growing-and-handling-of-bacterial-cultures",bookSignature:"Madhusmita Mishra",coverURL:"https://cdn.intechopen.com/books/images_new/7240.jpg",editedByType:"Edited by",editors:[{id:"204267",title:"Dr.",name:"Madhusmita",middleName:null,surname:"Mishra",slug:"madhusmita-mishra",fullName:"Madhusmita Mishra"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"8299",title:"Timber Buildings and Sustainability",subtitle:null,isOpenForSubmission:!1,hash:"bccf2891cec38ed041724131aa34c25a",slug:"timber-buildings-and-sustainability",bookSignature:"Giovanna Concu",coverURL:"https://cdn.intechopen.com/books/images_new/8299.jpg",editedByType:"Edited by",editors:[{id:"108709",title:"Dr.",name:"Giovanna",middleName:null,surname:"Concu",slug:"giovanna-concu",fullName:"Giovanna Concu"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"7062",title:"Rhinosinusitis",subtitle:null,isOpenForSubmission:!1,hash:"14ed95e155b1e57a61827ca30b579d09",slug:"rhinosinusitis",bookSignature:"Balwant Singh Gendeh and Mirjana Turkalj",coverURL:"https://cdn.intechopen.com/books/images_new/7062.jpg",editedByType:"Edited by",editors:[{id:"67669",title:"Prof.",name:"Balwant Singh",middleName:null,surname:"Gendeh",slug:"balwant-singh-gendeh",fullName:"Balwant Singh Gendeh"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"7837",title:"Geriatric Medicine and Gerontology",subtitle:null,isOpenForSubmission:!1,hash:"e277d005b23536bcd9f8550046101979",slug:"geriatric-medicine-and-gerontology",bookSignature:"Edward T. Zawada Jr.",coverURL:"https://cdn.intechopen.com/books/images_new/7837.jpg",editedByType:"Edited by",editors:[{id:"16344",title:"Dr.",name:"Edward T.",middleName:null,surname:"Zawada Jr.",slug:"edward-t.-zawada-jr.",fullName:"Edward T. Zawada Jr."}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}}]},subject:{topic:{id:"548",title:"Wireless Sensor Network",slug:"wireless-sensor-network",parent:{title:"Computer Graphics",slug:"computer-and-information-science-computer-graphics"},numberOfBooks:1,numberOfAuthorsAndEditors:31,numberOfWosCitations:24,numberOfCrossrefCitations:28,numberOfDimensionsCitations:57,videoUrl:null,fallbackUrl:null,description:null},booksByTopicFilter:{topicSlug:"wireless-sensor-network",sort:"-publishedDate",limit:12,offset:0},booksByTopicCollection:[{type:"book",id:"155",title:"Sensor Fusion",subtitle:"Foundation and Applications",isOpenForSubmission:!1,hash:"4e394b8458dc49549ccf603ef6e376b8",slug:"sensor-fusion-foundation-and-applications",bookSignature:"Ciza Thomas",coverURL:"https://cdn.intechopen.com/books/images_new/155.jpg",editedByType:"Edited by",editors:[{id:"43680",title:"Prof.",name:"Ciza",middleName:null,surname:"Thomas",slug:"ciza-thomas",fullName:"Ciza Thomas"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}}],booksByTopicTotal:1,mostCitedChapters:[{id:"15910",doi:"10.5772/19983",title:"Sensor Fusion for Precision Agriculture",slug:"sensor-fusion-for-precision-agriculture",totalDownloads:3969,totalCrossrefCites:2,totalDimensionsCites:19,book:{slug:"sensor-fusion-foundation-and-applications",title:"Sensor Fusion",fullTitle:"Sensor Fusion - Foundation and Applications"},signatures:"Viacheslav I. Adamchuk, Raphael A. Viscarra Rossel, Kenneth A. Sudduth and Peter Schulze Lammers",authors:[{id:"37024",title:"Dr.",name:"Viacheslav",middleName:null,surname:"Adamchuk",slug:"viacheslav-adamchuk",fullName:"Viacheslav Adamchuk"},{id:"37029",title:"Dr.",name:"Raphael",middleName:null,surname:"Viscarra Rossel",slug:"raphael-viscarra-rossel",fullName:"Raphael Viscarra Rossel"}]},{id:"14978",doi:"10.5772/17384",title:"A Possibilistic Framework for Sensor Fusion with Monitoring of Sensor Reliability",slug:"a-possibilistic-framework-for-sensor-fusion-with-monitoring-of-sensor-reliability",totalDownloads:1471,totalCrossrefCites:5,totalDimensionsCites:8,book:{slug:"sensor-fusion-foundation-and-applications",title:"Sensor Fusion",fullTitle:"Sensor Fusion - Foundation and Applications"},signatures:"Volker Lohweg, Karl Voth and Stefan Glock",authors:[{id:"10388",title:"Prof.",name:"Volker",middleName:null,surname:"Lohweg",slug:"volker-lohweg",fullName:"Volker Lohweg"},{id:"28864",title:"MSc.",name:"Karl",middleName:null,surname:"Voth",slug:"karl-voth",fullName:"Karl Voth"},{id:"32061",title:"Dr.",name:"Stefan",middleName:null,surname:"Glock",slug:"stefan-glock",fullName:"Stefan Glock"}]},{id:"15915",doi:"10.5772/17666",title:"Detecting, Tracking, and Identifying Airborne Threats with Netted Sensor Fence",slug:"detecting-tracking-and-identifying-airborne-threats-with-netted-sensor-fence",totalDownloads:3085,totalCrossrefCites:4,totalDimensionsCites:6,book:{slug:"sensor-fusion-foundation-and-applications",title:"Sensor Fusion",fullTitle:"Sensor Fusion - Foundation and Applications"},signatures:"Weiqun Shi, Gus Arabadjis, Brett Bishop, Peter Hill, Rich Plasse and John Yoder",authors:[{id:"29050",title:"Dr.",name:"Weiqun",middleName:null,surname:"Shi",slug:"weiqun-shi",fullName:"Weiqun Shi"}]}],mostDownloadedChaptersLast30Days:[{id:"15910",title:"Sensor Fusion for Precision Agriculture",slug:"sensor-fusion-for-precision-agriculture",totalDownloads:3969,totalCrossrefCites:2,totalDimensionsCites:19,book:{slug:"sensor-fusion-foundation-and-applications",title:"Sensor Fusion",fullTitle:"Sensor Fusion - Foundation and Applications"},signatures:"Viacheslav I. Adamchuk, Raphael A. Viscarra Rossel, Kenneth A. Sudduth and Peter Schulze Lammers",authors:[{id:"37024",title:"Dr.",name:"Viacheslav",middleName:null,surname:"Adamchuk",slug:"viacheslav-adamchuk",fullName:"Viacheslav Adamchuk"},{id:"37029",title:"Dr.",name:"Raphael",middleName:null,surname:"Viscarra Rossel",slug:"raphael-viscarra-rossel",fullName:"Raphael Viscarra Rossel"}]},{id:"15913",title:"Sensor Fusion Techniques in Navigation Application for Mobile Robot",slug:"sensor-fusion-techniques-in-navigation-application-for-mobile-robot",totalDownloads:3600,totalCrossrefCites:4,totalDimensionsCites:4,book:{slug:"sensor-fusion-foundation-and-applications",title:"Sensor Fusion",fullTitle:"Sensor Fusion - Foundation and Applications"},signatures:"Surachai Panich and Nitin Afzulpurkar",authors:[{id:"5704",title:"Dr.",name:"Surachai",middleName:null,surname:"Panich",slug:"surachai-panich",fullName:"Surachai Panich"},{id:"39453",title:"Prof.",name:"Nitin",middleName:null,surname:"Afzulpurkar",slug:"nitin-afzulpurkar",fullName:"Nitin Afzulpurkar"}]},{id:"15915",title:"Detecting, Tracking, and Identifying Airborne Threats with Netted Sensor Fence",slug:"detecting-tracking-and-identifying-airborne-threats-with-netted-sensor-fence",totalDownloads:3085,totalCrossrefCites:4,totalDimensionsCites:6,book:{slug:"sensor-fusion-foundation-and-applications",title:"Sensor Fusion",fullTitle:"Sensor Fusion - Foundation and Applications"},signatures:"Weiqun Shi, Gus Arabadjis, Brett Bishop, Peter Hill, Rich Plasse and John Yoder",authors:[{id:"29050",title:"Dr.",name:"Weiqun",middleName:null,surname:"Shi",slug:"weiqun-shi",fullName:"Weiqun Shi"}]},{id:"15912",title:"Data Association Techniques for Non-Gaussian Measurements",slug:"data-association-techniques-for-non-gaussian-measurements",totalDownloads:1385,totalCrossrefCites:0,totalDimensionsCites:1,book:{slug:"sensor-fusion-foundation-and-applications",title:"Sensor Fusion",fullTitle:"Sensor Fusion - Foundation and Applications"},signatures:"Stephen C. Stubberud and Kathleen A. Kramer",authors:[{id:"20608",title:"Prof.",name:"Kathleen A.",middleName:null,surname:"Kramer",slug:"kathleen-a.-kramer",fullName:"Kathleen A. Kramer"},{id:"22661",title:"Dr.",name:"Stephen C.",middleName:null,surname:"Stubberud",slug:"stephen-c.-stubberud",fullName:"Stephen C. Stubberud"}]},{id:"15909",title:"A Dynamic Context Reasoning based on Evidential Fusion Networks in Home-Based Care",slug:"a-dynamic-context-reasoning-based-on-evidential-fusion-networks-in-home-based-care",totalDownloads:1245,totalCrossrefCites:2,totalDimensionsCites:2,book:{slug:"sensor-fusion-foundation-and-applications",title:"Sensor Fusion",fullTitle:"Sensor Fusion - Foundation and Applications"},signatures:"Hyun Lee, Jae Sung Choi and Ramez Elmasri",authors:[{id:"29125",title:"Dr",name:"Hyun",middleName:null,surname:"Lee",slug:"hyun-lee",fullName:"Hyun Lee"},{id:"35117",title:"Dr.",name:"Jae Sung",middleName:null,surname:"Choi",slug:"jae-sung-choi",fullName:"Jae Sung Choi"},{id:"35118",title:"Dr.",name:"Ramez",middleName:null,surname:"Elmasri",slug:"ramez-elmasri",fullName:"Ramez Elmasri"}]},{id:"15911",title:"Localization and Tracking Using Camera-Based Wireless Sensor Networks",slug:"localization-and-tracking-using-camera-based-wireless-sensor-networks",totalDownloads:1910,totalCrossrefCites:2,totalDimensionsCites:4,book:{slug:"sensor-fusion-foundation-and-applications",title:"Sensor Fusion",fullTitle:"Sensor Fusion - Foundation and Applications"},signatures:"J.R. Martinez-de Dios, A. Jimenez-Gonzalez and A. Ollero",authors:[{id:"34663",title:"Prof.",name:"Ramiro",middleName:null,surname:"Martinez",slug:"ramiro-martinez",fullName:"Ramiro Martinez"},{id:"36232",title:"MSc",name:"Adrian",middleName:null,surname:"Jimenez-Gonzalez",slug:"adrian-jimenez-gonzalez",fullName:"Adrian Jimenez-Gonzalez"},{id:"36233",title:"Prof.",name:"Anibal",middleName:null,surname:"Ollero",slug:"anibal-ollero",fullName:"Anibal Ollero"}]},{id:"14978",title:"A Possibilistic Framework for Sensor Fusion with Monitoring of Sensor Reliability",slug:"a-possibilistic-framework-for-sensor-fusion-with-monitoring-of-sensor-reliability",totalDownloads:1471,totalCrossrefCites:5,totalDimensionsCites:8,book:{slug:"sensor-fusion-foundation-and-applications",title:"Sensor Fusion",fullTitle:"Sensor Fusion - Foundation and Applications"},signatures:"Volker Lohweg, Karl Voth and Stefan Glock",authors:[{id:"10388",title:"Prof.",name:"Volker",middleName:null,surname:"Lohweg",slug:"volker-lohweg",fullName:"Volker Lohweg"},{id:"28864",title:"MSc.",name:"Karl",middleName:null,surname:"Voth",slug:"karl-voth",fullName:"Karl Voth"},{id:"32061",title:"Dr.",name:"Stefan",middleName:null,surname:"Glock",slug:"stefan-glock",fullName:"Stefan Glock"}]},{id:"14977",title:"Sensor Fusion for Enhancement in Intrusion Detection",slug:"sensor-fusion-for-enhancement-in-intrusion-detection",totalDownloads:1567,totalCrossrefCites:2,totalDimensionsCites:2,book:{slug:"sensor-fusion-foundation-and-applications",title:"Sensor Fusion",fullTitle:"Sensor Fusion - Foundation and Applications"},signatures:"Ciza Thomas and Balakrishnan Narayanaswamy",authors:[{id:"43680",title:"Prof.",name:"Ciza",middleName:null,surname:"Thomas",slug:"ciza-thomas",fullName:"Ciza Thomas"},{id:"43682",title:"Dr.",name:"Narayanaswamy",middleName:null,surname:"Balakrishnan",slug:"narayanaswamy-balakrishnan",fullName:"Narayanaswamy Balakrishnan"}]},{id:"15917",title:"Sensor Fusion-Based Activity Recognition for Parkinson Patients",slug:"sensor-fusion-based-activity-recognition-for-parkinson-patients",totalDownloads:2031,totalCrossrefCites:5,totalDimensionsCites:6,book:{slug:"sensor-fusion-foundation-and-applications",title:"Sensor Fusion",fullTitle:"Sensor Fusion - Foundation and Applications"},signatures:"Majid Bahrepour, Nirvana Meratnia, Zahra Taghikhaki, and Paul J. M. Havinga",authors:[{id:"25900",title:"Prof.",name:"Majid",middleName:null,surname:"Bahrepour",slug:"majid-bahrepour",fullName:"Majid Bahrepour"},{id:"35368",title:"Dr.",name:"Nirvana",middleName:null,surname:"Meratnia",slug:"nirvana-meratnia",fullName:"Nirvana Meratnia"},{id:"35369",title:"Prof.",name:"Paul",middleName:null,surname:"Havinga",slug:"paul-havinga",fullName:"Paul Havinga"},{id:"67114",title:"MSc.",name:"Zahra",middleName:null,surname:"Taghikhaki",slug:"zahra-taghikhaki",fullName:"Zahra Taghikhaki"}]},{id:"15916",title:"Design, Implementation and Evaluation of a Multimodal Sensor System Integrated Into an Airplane Seat",slug:"design-implementation-and-evaluation-of-a-multimodal-sensor-system-integrated-into-an-airplane-seat",totalDownloads:1544,totalCrossrefCites:0,totalDimensionsCites:2,book:{slug:"sensor-fusion-foundation-and-applications",title:"Sensor Fusion",fullTitle:"Sensor Fusion - Foundation and Applications"},signatures:"Bert Arnrich, Cornelia Kappeler-Setz, Johannes Schumm and Gerhard Trooster",authors:[{id:"30827",title:"Dr.",name:"Bert",middleName:null,surname:"Arnrich",slug:"bert-arnrich",fullName:"Bert Arnrich"},{id:"36085",title:"MSc.",name:"Cornelia",middleName:null,surname:"Kappeler-Setz",slug:"cornelia-kappeler-setz",fullName:"Cornelia Kappeler-Setz"},{id:"36086",title:"Dr.",name:"Johannes",middleName:null,surname:"Schumm",slug:"johannes-schumm",fullName:"Johannes Schumm"},{id:"36087",title:"Prof.",name:"Gerhard",middleName:null,surname:"Tröster",slug:"gerhard-troster",fullName:"Gerhard Tröster"}]}],onlineFirstChaptersFilter:{topicSlug:"wireless-sensor-network",limit:3,offset:0},onlineFirstChaptersCollection:[],onlineFirstChaptersTotal:0},preDownload:{success:null,errors:{}},aboutIntechopen:{},privacyPolicy:{},peerReviewing:{},howOpenAccessPublishingWithIntechopenWorks:{},sponsorshipBooks:{sponsorshipBooks:[{type:"book",id:"6837",title:"Lithium-ion Batteries - Thin Film for Energy Materials and Devices",subtitle:null,isOpenForSubmission:!0,hash:"ea7789260b319b9a4b472257f57bfeb5",slug:null,bookSignature:"Prof. Mitsunobu Sato, Dr. Li Lu and Dr. Hiroki Nagai",coverURL:"https://cdn.intechopen.com/books/images_new/6837.jpg",editedByType:null,editors:[{id:"179615",title:"Prof.",name:"Mitsunobu",middleName:null,surname:"Sato",slug:"mitsunobu-sato",fullName:"Mitsunobu Sato"}],productType:{id:"1",chapterContentType:"chapter"}},{type:"book",id:"9423",title:"Applications of Artificial Intelligence in Process Industry Automation, Heat and Power Generation and Smart Manufacturing",subtitle:null,isOpenForSubmission:!0,hash:"10ac8fb0bdbf61044395963028653d21",slug:null,bookSignature:"Prof. Konstantinos G. Kyprianidis and Prof. Erik Dahlquist",coverURL:"https://cdn.intechopen.com/books/images_new/9423.jpg",editedByType:null,editors:[{id:"35868",title:"Prof.",name:"Konstantinos",middleName:"G.",surname:"Kyprianidis",slug:"konstantinos-kyprianidis",fullName:"Konstantinos Kyprianidis"}],productType:{id:"1",chapterContentType:"chapter"}},{type:"book",id:"9428",title:"New Trends in the Use of Artificial Intelligence for the Industry 4.0",subtitle:null,isOpenForSubmission:!0,hash:"9e089eec484ce8e9eb32198c2d8b34ea",slug:null,bookSignature:"Dr. Luis Romeral Martinez, Dr. Roque A. Osornio-Rios and Dr. Miguel Delgado Prieto",coverURL:"https://cdn.intechopen.com/books/images_new/9428.jpg",editedByType:null,editors:[{id:"86501",title:"Dr.",name:"Luis",middleName:null,surname:"Romeral Martinez",slug:"luis-romeral-martinez",fullName:"Luis Romeral Martinez"}],productType:{id:"1",chapterContentType:"chapter"}},{type:"book",id:"10107",title:"Artificial Intelligence in Oncology Drug Discovery & Development",subtitle:null,isOpenForSubmission:!0,hash:"043c178c3668865ab7d35dcb2ceea794",slug:null,bookSignature:"Dr. John Cassidy and Dr. Belle Taylor",coverURL:"https://cdn.intechopen.com/books/images_new/10107.jpg",editedByType:null,editors:[{id:"244455",title:"Dr.",name:"John",middleName:null,surname:"Cassidy",slug:"john-cassidy",fullName:"John Cassidy"}],productType:{id:"1",chapterContentType:"chapter"}},{type:"book",id:"8903",title:"Carbon Based Material for Environmental Protection and Remediation",subtitle:null,isOpenForSubmission:!0,hash:"19da699b370f320eca63ef2ba02f745d",slug:null,bookSignature:"Dr. Mattia Bartoli and Dr. Marco Frediani",coverURL:"https://cdn.intechopen.com/books/images_new/8903.jpg",editedByType:null,editors:[{id:"188999",title:"Dr.",name:"Mattia",middleName:null,surname:"Bartoli",slug:"mattia-bartoli",fullName:"Mattia Bartoli"}],productType:{id:"1",chapterContentType:"chapter"}},{type:"book",id:"10132",title:"Applied Computational Near-surface Geophysics - From Integral and Derivative Formulas to MATLAB Codes",subtitle:null,isOpenForSubmission:!0,hash:"38cdbbb671df620b36ee96af1d9a3a90",slug:null,bookSignature:"Dr. Afshin Aghayan",coverURL:"https://cdn.intechopen.com/books/images_new/10132.jpg",editedByType:null,editors:[{id:"311030",title:"Dr.",name:"Afshin",middleName:null,surname:"Aghayan",slug:"afshin-aghayan",fullName:"Afshin Aghayan"}],productType:{id:"1",chapterContentType:"chapter"}},{type:"book",id:"10110",title:"Advances and Technologies in Building Construction and Structural Analysis",subtitle:null,isOpenForSubmission:!0,hash:"df2ad14bc5588577e8bf0b7ebcdafd9d",slug:null,bookSignature:"Dr. Ali Kaboli and Dr. Sara Shirowzhan",coverURL:"https://cdn.intechopen.com/books/images_new/10110.jpg",editedByType:null,editors:[{id:"309192",title:"Dr.",name:"Ali",middleName:null,surname:"Kaboli",slug:"ali-kaboli",fullName:"Ali Kaboli"}],productType:{id:"1",chapterContentType:"chapter"}},{type:"book",id:"10175",title:"Ethics in Emerging Technologies",subtitle:null,isOpenForSubmission:!0,hash:"9c92da249676e35e2f7476182aa94e84",slug:null,bookSignature:"Prof. Ali Hessami",coverURL:"https://cdn.intechopen.com/books/images_new/10175.jpg",editedByType:null,editors:[{id:"108303",title:"Prof.",name:"Ali",middleName:null,surname:"Hessami",slug:"ali-hessami",fullName:"Ali Hessami"}],productType:{id:"1",chapterContentType:"chapter"}}],offset:8,limit:8,total:16},humansInSpaceProgram:{},teamHumansInSpaceProgram:{},route:{name:"profile.detail",path:"/profiles/42928/nikolai-pakhomov",hash:"",query:{},params:{id:"42928",slug:"nikolai-pakhomov"},fullPath:"/profiles/42928/nikolai-pakhomov",meta:{},from:{name:null,path:"/",hash:"",query:{},params:{},fullPath:"/",meta:{}}}},function(){var e;(e=document.currentScript||document.scripts[document.scripts.length-1]).parentNode.removeChild(e)}()