Shock standoff distance as predicted by each equation of state.
\\n\\n
These books synthesize perspectives of renowned scientists from the world’s most prestigious institutions - from Fukushima Renewable Energy Institute in Japan to Stanford University in the United States, including Columbia University (US), University of Sidney (AU), University of Miami (USA), Cardiff University (UK), and many others.
\\n\\nThis collaboration embodied the true essence of Open Access by simplifying the approach to OA publishing for Academic editors and authors who contributed their research and allowed the new research to be made available free and open to anyone anywhere in the world.
\\n\\nTo celebrate the 50 books published, we have gathered them at one location - just one click away, so that you can easily browse the subjects of your interest, download the content directly, share it or read online.
\\n\\n\\n\\n\\n"}]',published:!0,mainMedia:null},components:[{type:"htmlEditorComponent",content:'
IntechOpen and Knowledge Unlatched formed a partnership to support researchers working in engineering sciences by enabling an easier approach to publishing Open Access content. Using the Knowledge Unlatched crowdfunding model to raise the publishing costs through libraries around the world, Open Access Publishing Fee (OAPF) was not required from the authors.
\n\nInitially, the partnership supported engineering research, but it soon grew to include physical and life sciences, attracting more researchers to the advantages of Open Access publishing.
\n\n\n\nThese books synthesize perspectives of renowned scientists from the world’s most prestigious institutions - from Fukushima Renewable Energy Institute in Japan to Stanford University in the United States, including Columbia University (US), University of Sidney (AU), University of Miami (USA), Cardiff University (UK), and many others.
\n\nThis collaboration embodied the true essence of Open Access by simplifying the approach to OA publishing for Academic editors and authors who contributed their research and allowed the new research to be made available free and open to anyone anywhere in the world.
\n\nTo celebrate the 50 books published, we have gathered them at one location - just one click away, so that you can easily browse the subjects of your interest, download the content directly, share it or read online.
\n\n\n\n\n'}],latestNews:[{slug:"intechopen-supports-asapbio-s-new-initiative-publish-your-reviews-20220729",title:"IntechOpen Supports ASAPbio’s New Initiative Publish Your Reviews"},{slug:"webinar-introduction-to-open-science-wednesday-18-may-1-pm-cest-20220518",title:"Webinar: Introduction to Open Science | Wednesday 18 May, 1 PM CEST"},{slug:"step-in-the-right-direction-intechopen-launches-a-portfolio-of-open-science-journals-20220414",title:"Step in the Right Direction: IntechOpen Launches a Portfolio of Open Science Journals"},{slug:"let-s-meet-at-london-book-fair-5-7-april-2022-olympia-london-20220321",title:"Let’s meet at London Book Fair, 5-7 April 2022, Olympia London"},{slug:"50-books-published-as-part-of-intechopen-and-knowledge-unlatched-ku-collaboration-20220316",title:"50 Books published as part of IntechOpen and Knowledge Unlatched (KU) Collaboration"},{slug:"intechopen-joins-the-united-nations-sustainable-development-goals-publishers-compact-20221702",title:"IntechOpen joins the United Nations Sustainable Development Goals Publishers Compact"},{slug:"intechopen-signs-exclusive-representation-agreement-with-lsr-libros-servicios-y-representaciones-s-a-de-c-v-20211123",title:"IntechOpen Signs Exclusive Representation Agreement with LSR Libros Servicios y Representaciones S.A. de C.V"},{slug:"intechopen-expands-partnership-with-research4life-20211110",title:"IntechOpen Expands Partnership with Research4Life"}]},book:{item:{type:"book",id:"10629",leadTitle:null,fullTitle:"Advances in High-Entropy Alloys - Materials Research, Exotic Properties and Applications",title:"Advances in High-Entropy Alloys",subtitle:"Materials Research, Exotic Properties and Applications",reviewType:"peer-reviewed",abstract:"High-entropy alloys (HEAs) are a new class of materials attracting attention from researchers all over the world. This book provides a comprehensive overview of the research on HEAs, as well as discusses the mechanical, physical, and chemical properties of new HEAs and their potential applications. Chapters cover such topics as HEA superconductors, HEA composites, high-entropy superalloys, artificial intelligence in HEA design, and more.",isbn:"978-1-83881-079-5",printIsbn:"978-1-83881-078-8",pdfIsbn:"978-1-83881-080-1",doi:"10.5772/intechopen.93454",price:119,priceEur:129,priceUsd:155,slug:"advances-in-high-entropy-alloys-materials-research-exotic-properties-and-applications",numberOfPages:154,isOpenForSubmission:!1,isInWos:null,isInBkci:!1,hash:"eef8e329dc2559a9dbe5f1522ec690e3",bookSignature:"Jiro Kitagawa",publishedDate:"September 22nd 2021",coverURL:"https://cdn.intechopen.com/books/images_new/10629.jpg",numberOfDownloads:1477,numberOfWosCitations:3,numberOfCrossrefCitations:9,numberOfCrossrefCitationsByBook:0,numberOfDimensionsCitations:12,numberOfDimensionsCitationsByBook:0,hasAltmetrics:1,numberOfTotalCitations:24,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"November 12th 2020",dateEndSecondStepPublish:"December 21st 2020",dateEndThirdStepPublish:"February 8th 2021",dateEndFourthStepPublish:"April 29th 2021",dateEndFifthStepPublish:"June 28th 2021",currentStepOfPublishingProcess:5,indexedIn:"1,2,3,4,5,6,7",editedByType:"Edited by",kuFlag:!1,featuredMarkup:null,editors:[{id:"210570",title:"Prof.",name:"Jiro",middleName:null,surname:"Kitagawa",slug:"jiro-kitagawa",fullName:"Jiro Kitagawa",profilePictureURL:"https://mts.intechopen.com/storage/users/210570/images/system/210570.png",biography:"Jiro Kitagawa received a BS in Physics from Kyoto University, Japan, in 1993, and an MS and Ph.D. in Physics from the University of Tokyo, Japan, in 1995 and 1998, respectively. At the University of Tokyo, Dr. Kitagawa carried out materials research on rare-earth intermetallic compounds. In 2002 he joined Hiroshima University, Japan, as a research associate studying terahertz technologies. From 2012 to 2014 he was an assistant professor at Fukuoka Institute of Technology, Japan. He became a full professor there in 2015. His research interests include materials research on magnetic and superconducting materials. His current projects are on magnetism and superconductivity in high-entropy alloys.",institutionString:"Fukuoka Institute of Technology",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"2",totalChapterViews:"0",totalEditedBooks:"1",institution:{name:"Fukuoka Institute of Technology",institutionURL:null,country:{name:"Japan"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,coeditorOne:null,coeditorTwo:null,coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"158",title:"Metals and Nonmetals",slug:"metals-and-nonmetals"}],chapters:[{id:"75238",title:"Superconductivity in HEA-Type Compounds",doi:"10.5772/intechopen.96156",slug:"superconductivity-in-hea-type-compounds",totalDownloads:202,totalCrossrefCites:7,totalDimensionsCites:8,hasAltmetrics:0,abstract:"Since the discovery of superconductivity in a high-entropy alloy (HEA) Ti-Zr-Nb-Hf-Ta in 2014, the community of superconductor science has explored new HEA superconductors to find the merit of the HEA states on superconducting properties. Since 2018, we have developed “HEA-type” compounds as superconductors or thermoelectric materials. As well known, compounds like intermetallic compounds or layered compounds are composed of multi crystallographic sites. In a HEA-type compounds, one or more sites are alloyed and total mixing entropy satisfies with the criterion of HEA. Herein, we summarize the synthesis methods, the crystal structural variation and superconducting properties of the HEA-type compounds, which include NaCl-type metal tellurides, CuAl2-type transition metal zirconides, high-Tc cuprates, and BiS2-based layered superconductors. The effects of the introduction of a HEA site in various kinds of complicated compounds are discussed from the structural-dimensionality viewpoint.",signatures:"Yoshikazu Mizuguchi and Aichi Yamashita",downloadPdfUrl:"/chapter/pdf-download/75238",previewPdfUrl:"/chapter/pdf-preview/75238",authors:[{id:"340423",title:"Associate Prof.",name:"Yoshikazu",surname:"Mizuguchi",slug:"yoshikazu-mizuguchi",fullName:"Yoshikazu Mizuguchi"},{id:"346198",title:"Dr.",name:"Aichi",surname:"Yamashita",slug:"aichi-yamashita",fullName:"Aichi Yamashita"}],corrections:null},{id:"78128",title:"Materials Research on High-Entropy Alloy Superconductors",doi:"10.5772/intechopen.99693",slug:"materials-research-on-high-entropy-alloy-superconductors",totalDownloads:192,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:"The first purpose of this chapter is materials research on face-centered-cubic (fcc) high-entropy alloy (HEA) superconductors, which have not yet been reported. We have investigated several Nb-containing multicomponent alloys. Although we succeeded in obtaining Nb-containing samples with the dominant fcc phases, no superconducting signals appeared in these samples down to 3 K. The microstructure analyses revealed that all samples were multi-phase, but the existence of several new Nb-containing HEA phases was confirmed in them. The second purpose is the report of materials research on the Mn5Si3-type HEA superconductors. This hexagonal structure offers various intermetallic compounds, which often undergo a superconducting state. The Mn5Si3-type HEA is classified into the multisite HEA, which possesses the high degree of freedom in the materials design and is good platform for studying exotic HEA superconductors. We have successfully found a single-phase Mn5Si3-type HEA, which, however, does not show a superconducting property down to 3 K. The attempt of controlling the valence electron count was not successful.",signatures:"Jiro Kitagawa, Naoki Ishizu and Shusuke Hamamoto",downloadPdfUrl:"/chapter/pdf-download/78128",previewPdfUrl:"/chapter/pdf-preview/78128",authors:[{id:"210570",title:"Prof.",name:"Jiro",surname:"Kitagawa",slug:"jiro-kitagawa",fullName:"Jiro Kitagawa"},{id:"345637",title:"Mr.",name:"Naoki",surname:"Ishizu",slug:"naoki-ishizu",fullName:"Naoki Ishizu"},{id:"345638",title:"Mr.",name:"Shusuke",surname:"Hamamoto",slug:"shusuke-hamamoto",fullName:"Shusuke Hamamoto"}],corrections:null},{id:"74785",title:"Why Al-B4C Metal Matrix Composites? A Review",doi:"10.5772/intechopen.95772",slug:"why-al-b-sub-4-sub-c-metal-matrix-composites-a-review",totalDownloads:153,totalCrossrefCites:0,totalDimensionsCites:1,hasAltmetrics:0,abstract:"The Al-B4C metal matrix composite (MMC) is characterized by its ability to absorb neutrons which makes it the most suitable shielding material for nuclear reactors. The present work was performed on two series of Al-B4C metal matrix composites made using a powder injection apparatus. In one series, commercially pure aluminum (A5) served as the matrix. For the second set, 6063 alloy was used. In all cases the volume fraction of B4C reinforcement particles (grit size 400 mesh, purity 99.5%) was approximately 15%. The volume fraction of the injected B4C particles was determined using a computer driven image analyzer. Measured amounts of Ti, Zr, and Ti + Zr, were added to the molten composites of both series. Microstructural characterization was carried out employing a field emission scanning electron microscope operating at 20 kV and equipped with an electron dispersive x-ray spectroscopic system (EDS). The same technique was applied to characterize the fracture behavior of the tested composites. Mechanical properties of these composites were investigated using impact testing, and ambient and high temperature tensile testing methods. Almost 1000 impact and tensile samples were tested following different heat treatments. The obtained results from these investigations are reported in this Chapter.",signatures:"Mohamed F. Ibrahim, Hany R. Ammar, Agnes M. Samuel, Mahmoud S. Soliman, Victor Songmene and Fawzy H. Samuel",downloadPdfUrl:"/chapter/pdf-download/74785",previewPdfUrl:"/chapter/pdf-preview/74785",authors:[{id:"16202",title:"Prof.",name:"Victor",surname:"Songmene",slug:"victor-songmene",fullName:"Victor Songmene"},{id:"178918",title:"Dr.",name:"Fawzy H.",surname:"Samuel",slug:"fawzy-h.-samuel",fullName:"Fawzy H. Samuel"},{id:"214187",title:"Dr.",name:"Mohamed F.",surname:"Ibrahim",slug:"mohamed-f.-ibrahim",fullName:"Mohamed F. Ibrahim"},{id:"320504",title:"Dr.",name:"Agnes Marie",surname:"Samuel",slug:"agnes-marie-samuel",fullName:"Agnes Marie Samuel"},{id:"344880",title:"Dr.",name:"Hany R.",surname:"Ammar",slug:"hany-r.-ammar",fullName:"Hany R. Ammar"},{id:"344881",title:"Prof.",name:"Mahmoud S.",surname:"Soliman",slug:"mahmoud-s.-soliman",fullName:"Mahmoud S. Soliman"}],corrections:null},{id:"75452",title:"Applications of Rare Earth Metals in Al-Si Cast Alloys",doi:"10.5772/intechopen.96011",slug:"applications-of-rare-earth-metals-in-al-si-cast-alloys",totalDownloads:194,totalCrossrefCites:1,totalDimensionsCites:1,hasAltmetrics:0,abstract:"The present article reviews a large number of research publications on the effect of mischmetal (MM), rare earth metals (RE), La or Ce, and combinations of La + Ce on the performance of Al-Si cast alloys mainly 319, 356, 380, 413, and 390 alloys. Most of these articles focused on the use of rare earth metals as a substitute for strontium (Sr) as a eutectic silicon (Si) modifier if added in low percentage (< 1 wt.%) to avoid precipitation of a significant amount of insoluble intermetallics and hence poor mechanical properties. Other points that were considered were the affinity of RE to react with Sr., reducing its effectiveness as modifier, as well as the grain refining efficiency of the added RE in any form. None of these articles mentioned the exact composition of the RE used and percentage of tramp elements inherited from the parent ore. Using high purity La or Ce proved to have no effect on the Si shape, size or distribution, in particular at low solidification rates (thick sections). However, regardless the source of the RE, its addition to Sr-modified alloys reduced the modification effect. As for grain refining, apparently a high percentage of RE (> 1 wt.%) is required to achieve a noticeable reduction in grain size, however at the cost of alloy brittleness.",signatures:"Mohamed Gamal Mahmoud, Yasser Zedan, Agnes-Marie Samuel, Victor Songmene, Herebert W. Doty and Fawzy H. Samuel",downloadPdfUrl:"/chapter/pdf-download/75452",previewPdfUrl:"/chapter/pdf-preview/75452",authors:[{id:"178918",title:"Dr.",name:"Fawzy H.",surname:"Samuel",slug:"fawzy-h.-samuel",fullName:"Fawzy H. Samuel"}],corrections:null},{id:"75786",title:"Recent Advances of High Entropy Alloys: High Entropy Superalloys",doi:"10.5772/intechopen.96661",slug:"recent-advances-of-high-entropy-alloys-high-entropy-superalloys",totalDownloads:259,totalCrossrefCites:0,totalDimensionsCites:1,hasAltmetrics:1,abstract:"This study reviews the recent technological advancements in manufacturing technique; laser surface modification and material; High Entropy Superalloys. High Entropy Superalloys are current potential alternatives to nickel superalloys for gas turbine applications and these superalloys are presented as the most promising material for gas turbine engine applications.",signatures:"Modupeola Dada, Patricia Popoola, Ntombizodwa Mathe, Samson Adeosun, Sisa Pityana, Olufemi Aramide, Nicholus Malatji, Thabo Lengopeng and Afolabi Ayodeji",downloadPdfUrl:"/chapter/pdf-download/75786",previewPdfUrl:"/chapter/pdf-preview/75786",authors:[{id:"285697",title:"M.Sc.",name:"Modupeola",surname:"Dada",slug:"modupeola-dada",fullName:"Modupeola Dada"},{id:"297964",title:"MSc.",name:"Afolabi",surname:"Ayodeji",slug:"afolabi-ayodeji",fullName:"Afolabi Ayodeji"},{id:"348440",title:"Prof.",name:"Patricia",surname:"Popoola",slug:"patricia-popoola",fullName:"Patricia Popoola"},{id:"348441",title:"Dr.",name:"Ntombizodwa",surname:"Mathe",slug:"ntombizodwa-mathe",fullName:"Ntombizodwa Mathe"},{id:"348442",title:"Prof.",name:"Samson",surname:"Adeosun",slug:"samson-adeosun",fullName:"Samson Adeosun"},{id:"348443",title:"Dr.",name:"Sisa",surname:"Pityana",slug:"sisa-pityana",fullName:"Sisa Pityana"},{id:"348444",title:"Dr.",name:"Olufemi",surname:"Aramide",slug:"olufemi-aramide",fullName:"Olufemi Aramide"},{id:"348445",title:"Dr.",name:"Nicholus",surname:"Malatji",slug:"nicholus-malatji",fullName:"Nicholus Malatji"},{id:"348446",title:"MSc.",name:"Thabo",surname:"Lengopeng",slug:"thabo-lengopeng",fullName:"Thabo Lengopeng"}],corrections:null},{id:"75889",title:"Design and High-Throughput Screening of High Entropy Alloys",doi:"10.5772/intechopen.96714",slug:"design-and-high-throughput-screening-of-high-entropy-alloys",totalDownloads:249,totalCrossrefCites:1,totalDimensionsCites:1,hasAltmetrics:1,abstract:"A balanced parameter was proposed to design the high entropy alloys (HEAs), which defined by average melting temperature Tm times entropy of mixing ΔSm over enthalpy of mixing ΔHm, Ω=TmΔSm/ΔHm, if Ω is larger than 1.1, we can predict that the entropy is high enough to overcome the enthalpy, and solid solution is likely to form rather than the intermetallic ordered phases. The composition can be further refined by using high-throughput screening by preparing the compositional gradient films. Multiple targets co-sputtering is usually used to prepare the films, and physical masking can separate the samples independently, chemical masking can also applied if possible. One example is the self-sharpening screening by using nanoindentations, the serration behaviors may related to the self-sharpening compositions.",signatures:"Yaqi Wu and Yong Zhang",downloadPdfUrl:"/chapter/pdf-download/75889",previewPdfUrl:"/chapter/pdf-preview/75889",authors:[{id:"203937",title:"Prof.",name:"Yong",surname:"Zhang",slug:"yong-zhang",fullName:"Yong Zhang"},{id:"343425",title:"Ms.",name:"Yaqi",surname:"Wu",slug:"yaqi-wu",fullName:"Yaqi Wu"}],corrections:null},{id:"76377",title:"Design and Development of High Entropy Alloys Using Artificial Intelligence",doi:"10.5772/intechopen.96761",slug:"design-and-development-of-high-entropy-alloys-using-artificial-intelligence",totalDownloads:228,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:"The conventional design approach of alloys initiates with one principal element and continues by adding several alloying elements to obtain desired properties. In this method, the intrinsic properties of the designed alloy are governed by the principal element. For example, in steel alloy, iron is the principal element, Aluminium in aluminium alloy, and so on. Compared to the conventional alloy, high entropy alloys do not have any dominating elements; all the elements present in these alloys either have an equal or near-equal ratio of elements. As reported in the literature, these alloys exhibit interesting material properties such as high strength, high hardness, improved elevated temperature strength, and magnetic properties. These characteristics make HEAs a suitable option for high-performance applications in the aero engine, aerospace structures, and machine tools. High entropy alloy has multiple principal elements as shown in schematic diagram 1; it leads to much higher possible compositions than conventional alloys. The huge compositional space provides an opportunity to improve desired mechanical properties. If it is explored through “trial and error,” it will be challenging and cumbersome. Therefore, search schemes that can competently and promptly recognize particular alloys with desired properties are essential. Artificial Intelligence is a useful tool to model, discover, and optimize new alloys that enable predicting individual material properties as a function of composition. While the application of Artificial Intelligence is quite popular in many aspects of society, its usage in material informatics is still in the nascent stage. The algorithm used in artificial intelligence is trained to pick up predictive rules from data and create a material model quicker than a computational model and can even generate the model for which no physical model exists. Artificial Intelligence (AI) allows predicting a set of experiments to be conducted to detect new alloy having desired properties. Thus, AI can be used as a valuable tool to optimize the development of new alloys.",signatures:"Shailesh Kumar Singh and Vivek K. Singh",downloadPdfUrl:"/chapter/pdf-download/76377",previewPdfUrl:"/chapter/pdf-preview/76377",authors:[{id:"341165",title:"Dr.",name:"Shailesh K",surname:"Singh",slug:"shailesh-k-singh",fullName:"Shailesh K Singh"}],corrections:null}],productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"},subseries:null,tags:null},relatedBooks:[{type:"book",id:"6426",title:"Titanium Dioxide",subtitle:"Material for a Sustainable Environment",isOpenForSubmission:!1,hash:"5626c0fe0b53330717e73094946cfd86",slug:"titanium-dioxide-material-for-a-sustainable-environment",bookSignature:"Dongfang Yang",coverURL:"https://cdn.intechopen.com/books/images_new/6426.jpg",editedByType:"Edited by",editors:[{id:"177814",title:"Dr.",name:"Dongfang",surname:"Yang",slug:"dongfang-yang",fullName:"Dongfang Yang"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"6282",title:"Noble and Precious Metals",subtitle:"Properties, Nanoscale Effects and Applications",isOpenForSubmission:!1,hash:"e4c28d6be4fd7b5f5b787d4dabbf721b",slug:"noble-and-precious-metals-properties-nanoscale-effects-and-applications",bookSignature:"Mohindar Singh Seehra and Alan D. 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\r\n\tEsophageal Surgery - Current Principles and Advances will serve as a state-of-the-art reference in the rapidly changing field of management and treatment of both malignant and benign esophageal disorders. Esophageal disorders are common in the general population and can be associated with significant morbidity and disability in quality of life. Several new diagnostic techniques for both malignant and benign esophageal disorders have become available in recent years. Furthermore, the multimodal approach, which includes minimally invasive surgery, endoluminal surgery, and traditional surgical in varying orders remains the main mode of treatment for most patients. Minimally invasive surgical approaches have become the standard for esophagectomy with similar outcomes with reduced morbidity in the treatment of both malignant and benign esophageal disorders. Malignant esophageal disorders treatment requires a multidisciplinary team approach and optimal therapy Endoscopic therapies, including radiofrequency ablation, endoscopic mucosal resection, and endoscopic submucosal dissection, have become the standard treatment modality for Barrett’s esophagus and early carcinoma.
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Recently, studies showed that brain activity during rehabilitation [2] and car driving [3, 4, 5, 6] may also be measured using fNIRS. In 1991, the first study of fNIRS utilizing localized changes in the levels of oxyHb and deoxyHb was conducted by Kato and his colleagues at the National Center of Neurology and Psychiatry, Tokyo, Japan [1].
This study was the first to demonstrate that the activation of Hb in the human brain during photic stimuli was associated with increased levels of oxyHb, deoxyHb, and total Hb in the visual cortex. Of note, the measurements in the prefrontal cortex did not show clinically meaningful changes in the levels of these three indices. The original fNIRS technique was able to detect local activation of the brain during a task that is stronger than the signals during rest, by placing pairs of probes 2.5 cm apart on the scalp over the targeted cortex [7, 8, 9].
Thus, fNIRS solved the problem of oxygenation monitoring in NIRS [10, 11]. The measurement of targeted temporal changes in task-related activation markedly reduced data noise from the blood flow in the scalp at rest and from artifact-related bodily movement. Nowadays, more than 25 years later, statistical processing and mapping of changes in the levels of hemoglobin measured by fNIRS are used for the evaluation of brain activity.
The advantage of fNIRS over fMRI and other modalities is the ability to simultaneously and independently measure the levels of oxyHb and deoxyHb. Combined, these data may be used as indices reflecting changes in both blood volume and oxygenation.
However, the temporal resolution of fNIRS is fairly low on a 40–100 ms scale, compared with the underlying neural activity which is spanning from 1 to 3 ms of action potential firing and can be recorded extracranially using magnetoencephalography (MEG). MEG can be sensitive on subcortical activity in a case of large extent of activated neuronal assembly and spatial extent of activated cortical assembly [12, 13].
In slow voluntary movements of the self-paced index finger, the activity of the sensorimotor area was detected before 4.5 seconds of the pre-movement using electroencephalography (EEG) [14]. Consistent with the findings of EEG, early deoxygenation of 3–4 seconds prior to the movement of the finger was observed in the sensorimotor area using fNIRS [15]. Presently, research on simultaneous measurements using fNIRS and EEG is becoming an effective means of brain-computer interface [16].
In addition, a disadvantage of fNIRS is the low spatial resolution (5–10 mm) of the activation mapping of the cortical surface compared with those obtained from fMRI and PET. Research combining the use of fNIRS, fMRI, and MEG for source localization is currently ongoing [17]. These combination studies have advantages in temporal and spatial mapping of brain function.
A response involving increased and decreased levels of oxyHb and deoxyHb, respectively, has been considered the model of canonical activation in numerous studies utilizing fNIRS. However, the actual frequency of the occurrence of canonical activation, the most suitable index or indices for the differentiation between the center of activation and the surrounding area, and the associated degree of probability remain to be investigated. Following canonical activation, the rates of change in the levels of oxyHb and deoxyHb are not constant and may differ according to the task. Wylie et al. [18] performed a qualitative differentiation between two types of canonical activation according to the increase/decrease in the levels of total Hb. The investigators of that study identified four additional patterns of increase and decrease in the levels of oxyHb, deoxyHb, and total Hb that do not correspond to canonical activation.
Presently, the detection of the spatiotemporal characteristics of brain activity using fNIRS remains suboptimal. This fundamental limitation in evaluating brain activity may lead to misdiagnosis. fNIRS research is particularly challenging in the prefrontal cortex, responsible for complex higher functions. In areas of the brain with clear localization of cerebral function (i.e., primary motor or visual cortices), it is possible to verify the accuracy of fNIRS data. However, in the human prefrontal cortex, there is currently no clear understanding of the localization of the more complex functions, and thus, the verification of the reliability of fNIRS data in this area remains a challenge.
Studies have attempted to bolster the reliability of fNIRS in the prefrontal cortex by comparing data obtained from fNIRS and fMRI [19, 20]. However, because the mechanisms differ between the two modalities [21, 22, 23, 24], even if conformity is found between fMRI and fNIRS data, the reliability of the results is not necessarily increased. Several problems have been pointed out. Considerable attention is required when analyzing with the index of oxyHb alone. In the prefrontal region, task-dependent data noise in the oxyHb response (increased levels) resulting from skin blood flow has been reported [25, 26]. In 2011, an article criticized the use of NIRS in the clinical diagnosis of psychiatric disorders as being insufficiently supported by scientific evidence [27]. In mental illness studies, the actual localization of increases in the levels of oxyHb is not clear [28], and therefore, measurements of oxyHb levels cannot be linked to a specific brain activity.
Furthermore, analytical challenges in the field of fNIRS have been reported. This review introduces new composite functional indices incorporating ratios of changes in the levels of oxyHb and deoxyHb, along with a novel vector-based fNIRS method [29, 30]. This vector-based approach can be used to visually and quantitatively evaluate combinations of changes in the levels of oxyHb and deoxyHb as new indices. It was useful to classify variations in the levels of hemoglobin in response to neural activity, using combinations of changes in the levels of hemoglobin. It was effective especially when the signal change is small such as initial dips. Initial dips are the hemodynamic reactions of oxyHb and deoxyHb induced by increased oxygen consumption in the early tasks of approximately 2–3 seconds [31, 32]. The vector-based approach could improve the sensitivity of fNIRS in the detection of brain activity both temporally and spatially through recognition of the initial dips from the skull to hemodynamic responses [33, 34, 35, 36].
In addition, this review discusses challenges with data analysis based on a single index, advantages of the simultaneous analysis of multiple indicators, and recently established composite indicators.
Prior to the development of fNIRS, NIRS was used mainly for monitoring cerebral oxygenation. Changes in tissue oxygen saturation are accompanied by simultaneous changes in cerebral blood volume. Using NIRS, Jöbsis [37] reported hypocapnia and a reduction in cerebral blood volume during human hyperventilation. In addition, NIRS was used to prevent hypoxia through monitoring newborn and premature infants [10, 11]. Of note, NIRS had also been used to investigate the brains of animals [38, 39, 40].
In 1990, Takashima et al. [41] used NIRS to examine patients with probes placed 5 cm apart from each other. This study was based on the original concept of the research conducted by Jöbsis [29]. The results of this study showed reductions in the levels of oxyHb, deoxyHb, and total Hb in the prefrontal area during hyperventilation. Until 1990, research on NIRS did not target the specific localized brain function of the cerebral cortex. The technique was merely used to observe changes in the levels of hemoglobin (task-related and at rest), without specific spatial identification.
Hypocapnia is known to cause global changes in the scalp and the entire brain. Hence, the changes reported during hyperventilation did not constitute proof of functional local brain activity. These early studies of hyperventilation suggested that blood volume was reduced in the region supplied by the external carotid artery, which distributes blood mainly to the scalp and muscles outside the skull. In brain death, in spite of the absence of blood flow through the internal carotid artery, the blood flow distribution through the external carotid artery remains unimpaired—an observation known as “the finding of the hollow skull” [42]. Early data obtained using NIRS data were affected by this blood flow from areas of the scalp supplied by the external carotid artery and the veins.
In addition, probes placed in the prefrontal area of seven healthy patients in a task of pressure for 1 minute on the jugular vein reported increases in the levels of oxyHb, deoxyHb, and total Hb [41]. These results were consistent with those obtained from an animal study (Figure 1 [40]), indicating task-related hemodynamic changes prior to 1990. Importantly, the presence of a task does not differentiate fNIRS from NIRS.
Changes in the levels of HbO2 (oxyhemoglobin, oxyHb), HbR (deoxyhemoglobin, deoxyHb), and HbO2 + HbR (total hemoglobin, total Hb) with neck compression [
Until 1990, NIRS had not been considered a tool for the identification of specific cortical activity. In the usage of NIRS at the time, there was no technique that data could be obtained selectively from a site on the cortex located directly under a site sandwiched between irradiation and detection probes, let alone evidence of brain activity. The near-infrared light paths and the range and depth of irradiation were unknown. Moreover, the influence of factors such as the external carotid artery was undeniable. Early NIRS did not associate changes in the levels of Hb with localized brain activity and was unable to clearly distinguish between signals derived from the external carotid artery or the veins and those derived from the cortex.
fNIRS was developed in 1991 [1, 7, 8, 9, 31] as a functional imaging method using NIRS to detect local brain activity accurately. This was achieved by identifying changes in the levels of Hb in different areas of the brain at rest and during a task. It was necessary to initially demonstrate that NIRS was able to detect localized brain activity to establish fNIRS. The selection of an experimental task and the settings of the probe were the key factors in this process. In the search for a task, lesion studies and PET studies were reviewed to identify a small part of the brain that could be clearly stimulated and measured from the frontal lobe. A multifocal increase in regional cerebral blood flow (CBF) had been reported in a mental arithmetic task in the frontal lobe [43]. Furthermore, mental arithmetic tasks to induce an autonomic nerve stimulus had been used to show the possibility of blood volume changes in the region supplied by the external carotid artery [44, 45]. Dyscalculia was not sufficiently localized, because it occurs in multiple sites of the frontal and temporal lobes from injury, etc. [46].
The cerebral metabolic rate of oxygen (CMRO2) was shown to increase by approximately 10% in a study using thinking tasks [47]. However, when compared with that observed at rest, this change in regional cerebral blood volume (CBV) was not significant. Exercise tasks produced side effects from movement of the probes and systemic circulation. In addition, a PET study had shown that blood flow increased in both the primary motor area of the frontal lobe and the nearby supplemental motor areas [48]. Overall, the confirmation of localization in the frontal lobe was challenging. The primary auditory cortex is located inside the Sylvian fissure, and there was no certainty that near-infrared light would be able to reach the site and reflect back to produce meaningful data.
In summary, an experiment designed to confirm that localization was possible using fNIRS required a task meeting the following conditions:
It should not stimulate the autonomous nervous system.
It should not induce global activation of the brain.
It should avoid the region supplied by the external carotid artery (possibility of changes in the volume of blood).
It should not involve pressure on the carotid artery.
It should not require bodily motion.
It should not target brain activity from the frontal or temporal lobes (possibility of movement of the scalp or muscles).
It should induce brain activity within a well-defined site.
According to these conditions, a suitable task would be one that stimulates the primary visual cortex, located in the occipital lobe and supplied with blood mostly from the posterior cerebral artery. An earlier study had reported an increase in CBF in the visual cortex with a task of 7.8 Hz photic stimulation [49]. A major question at that point was the following: “What kind of response in terms of local Hb levels would be obtained in a photic stimulation experiment using NIRS?” Other, more practical problems included the use of external light with the NIRS equipment and the irradiation of the stimulus light to the patient wearing the probes. However, these problems were resolved during the experiment. As shown by PC darkness in Figure 2, the influence of extraneous light could be eliminated in actual experiments.
Changes in the levels of oxyhemoglobin (oxyHb), deoxyhemoglobin (deoxyHb), total hemoglobin (total Hb), Cyt (Cytochromeaa3), and PC darkness (photon counting darkness) measured over the occipital surface (above) and the frontal surface (below) prior to, during, and after photic stimulation in a healthy adult. Background noise from extraneous light was monitored as PC darkness. The data show spatial (site-dependent) and temporal (task on/off) differences in response [
In 1991, the time course of responses arising from changes in the local levels of oxyHb, deoxyHb, and total Hb remained unknown. Therefore, it was necessary to perform measurements on different sites that would demonstrate brain activity and a null response. It was thought that the detection of varied responses from different sites in response to a given stimulus could demonstrate the localization of function.
In the actual experiment, photic stimulation (8 Hz) was delivered using a photosonic stimulator (Nihon Kohden Co., Japan) from the front and at the height of the patient’s line of sight for 5 minutes. As Figure 2 shows, the activation observed in the visual cortex during the photic stimulus was associated with increased levels of oxyHb, deoxyHb (slightly), and total Hb. No changes were observed in the prefrontal cortex following photic stimulation. These findings demonstrated that fNIRS is able to detect spatial and temporal information (i.e., different hemodynamic responses), depending on the site and the presence or absence of stimulation.
Today, fNIRS is widely used for tasks or in environments difficult for other modalities. Although the above list of requirements for task selection may seem outdated, the first four conditions are still required to distinguish between local activity and global change. The difference between local activity and global changes is still determined by the presence or absence of a response, limitation to a specific site, and dependence on the duration of the task.
A fundamental part for fNIRS is probe placement. As Figure 3A shows, Jöbsis [37] used infrared transillumination and optical computed tomography (CT) to create images of blood flow distribution at rest corresponding to brain structures. He estimated the optical path length of the human head to be 13.3 cm [37]. In addition, he stated that an interprobe distance of ≥4.25 cm would allow the detection of data from the brain tissue rather than the scalp (Figure 3B [50]). Although the diffused and reflected light used today had already replaced infrared transillumination, subsequent research on cerebral oxygenation monitoring [41] continued to use this setting (distance between probes ≥4.25 cm).
(A) Conceptual schema of optical computed tomography performed by Jöbsis illustrated on a magnetic resonance imaging (MRI) image (revision from [
During the design of the first investigation using fNIRS, MRI showed that the distance between the scalp and the primary visual cortex was <1 cm in neonates and <2 cm in adults and demonstrated the gentle curvature of the skull [51]. The shape of the skull permitted further reduction in the distance between the probes (Figure 3C) and improved the detection of activity in the cerebral cortex.
In the study, placement of the probes 5 cm apart revealed only a slight increase in the levels of oxyHb. When the distance between the probes was shortened to 4 cm, the increase in the levels of oxyHb became more pronounced. At an interprobe distance of 2.5 cm, a transient dip in the levels of oxyHb was observed. This effect occurred simultaneously with the initiation of the stimulus, followed promptly by an increase in the levels of oxyHb, faster peak latency, and a post-stimulus undershoot in oxyHb. At an interprobe distance of 1.0–1.5 cm, there was either no response at all or the total amounts of Hb remained unchanged while small mirror-image changes were observed, namely an increase and decrease in the levels of oxyHb and deoxyHb, respectively. These mirror-image changes may have been derived from either the scalp (where metabolism does not increase) or from vascular changes in the veins on the surface of the brain. From these findings, it was established that an interprobe distance of 2.5 cm provided the most robust results (Figure 3D).
Based on this empirical hypothesis, the area on the scalp corresponding to the visual cortex that can be covered with two probes was considered to be 1.0 × 2.5 cm, as identified through sagittal MRI. Each pair of emitter and receptor probes was placed 2.5 cm apart vertically to prevent data noise from activity in the secondary visual cortex and the large vein running vertically through the sagittal sinus.
The movement of the probes outward by 1.0 cm impaired the detection of response in the pilot study. Thus, pairs of probes (channels) were placed within 1.0 cm of the target in the horizontal direction to ensure accuracy. This adjustment permitted the investigators to develop the concept of functional resolution (in this case 1.0 × 2.5 cm) for the identification of the precise area of response. The original NIRS apparatus used (NIRO 1000, Hamamatsu Photonics K.K., Japan), shown in Figure 4, had only two channels and 5-mm diameter optical fibers for the emission and reception of light with 8 × 8 mm contact surfaces.
The NIRO 1000 (Hamamatsu Photonics K.K., Japan) used in the first functional near-infrared spectroscopy experiment [
The concept that the spatial resolution of fNIRS should be determined by the anatomy of the cerebral cortex and the range in which a response occurs was developed from this early research. To establish the desired resolution, the distance between the probes and the distance between the channels should be controlled independently. The more recently available multichannel fNIRS devices have become essential for the localization of brain activity. Unless the interchannel distance is changed depending on whether the measurement target is deep or wide from the scalp, the likelihood of detecting a localized response is reduced. In newborns, the distance between the brain and the surface of the cortex is <1 cm [51, 52]. Thus, in infants, the distance between probes should be shortened to 1–2 cm [53], rather than being set at 2.5 cm apart [7, 8, 9, 54]. The 3-cm apart matrix array of probes commonly used in recent years [55, 56] cannot necessarily provide results corresponding to the actual distribution of brain function in usage not considering age and head size. Spatial identification may not be performed effectively when a probe “hat” with probes arranged without reference to the anatomy of the brain/scalp is used. Registration markers and MRI should be used to determine the localization of probe placement for each individual.
In late 1992, Hoshi and Tamura [57] reported findings from research using task-related NIRS. The investigators reported a calculation task which stimulated the autonomic nervous system with an interprobe distance of 4 cm. This protocol did not meet the requirements for either task selection or probe settings described earlier in this review, and thus, the method is not considered fNIRS. Villringer et al. [58] selected probe positions on the scalp with interprobe distances ranging from 4 to 7 cm. In 1993, Chance et al. [59] also performed the task-related NIRS experiments from the frontal skull. However, they were unable to demonstrate localization. Advances in techniques for the improvement of spatial resolution continued. The spatial resolution of the 3 cm2 probe arrangement failed to provide detailed information regarding responses in the cortex [60]. Highly selective probe arrangements for establishing high-density measurement points have been reported (e.g., one with 10-mm channel interval and 25-mm probe interval [31, 32], and one with a center probe and surrounding probes [61]). Structural MRI has been used to evaluate the distance between the brain and the scalp [62]. Moreover, a method using diffuse optical tomography for removing signals on the scalp has been reported [63, 64, 65].
Of note, fNIRS has also been used in animal studies. The results have shown that measurement of fNIRS indices from the scalp with an interprobe distance of 4 and 8 mm was possible in the brain of rats [66] and cats, respectively. As Figure 5 shows, using fNIRS (ETG-100, Hitachi Medical Co., Tokyo, Japan), an initial dip was able to measure hemoglobin indices in the visual cortex during photic stimulation from outside the skull of a cat. In particular, the fNIRS response pattern to photic stimulation was identical between the cat and the human brains [67, 68]. These animal studies suggested that it was possible to use fNIRS for the detection of activity in a 1–2 mm region of the targeting cortex from the scalp.
Time series data of hemodynamic response showing an initial dip in the levels of total hemoglobin decreased through stimulation using light in the cat brain. A thick black line indicates stimulation using light.
Numerous current fNIRS devices measure the levels of oxyHb, deoxyHb, and total Hb independently. A new challenge is that spatiotemporal characteristics may vary in functional brain imaging depending on the index used, and this problem has not been widely recognized or studied. In 1991, Kato et al. reported increases in the levels of oxyHb, deoxyHb (slight), and total Hb in the primary visual cortex during photic stimulation. Subsequent studies using fMRI and fNIRS reported increases and decreases in the levels of oxyHb and deoxyHb, respectively, in motor and visual tasks [69, 70, 71]. These results were accepted as typical fNIRS responses and have been corroborated by numerous fNIRS studies [1].
Nowadays, atypical responses are mostly ignored and left unexplained. There is a widespread tendency, hypothesized patterns of hemoglobin reaction in advance and those that are not hypothesized reaction types tend to be statistically excluded from the analysis data without being insufficiently examined [72]. In response to this trend, recent studies also have processed statistically and mapped independently the observed increase and decrease in the levels of oxyHb [73, 74] and deoxyHb [75, 76], respectively. Even in studies using rats, their analysis may be performed using only oxyHb [77].
However, evaluation of brain activity using a single hemoglobin index is contrary to the physiological mechanisms involved, ignoring the fact that hemodynamic responses include both blood volume and oxygenation. The distinction between blood volume and oxygenation, applying to fNIRS and fMRI [23, 24], has been a subject of controversy. This remains an unresolved problem common to all brain functional imaging research based on hemodynamic responses. The beginning of this argument can be traced back to Roy and Sherrington, who in 1890 proposed neurovascular coupling. Changes in oxygenation and blood volume in the capillaries reflect neuronal activity. However, as Roy and Sherrington noted, these data were not derived from the capillaries [78].
The first to report the quantification of CBF using Fick’s law (i.e., subtracting the value of the veins from that of arteries, in units of per 100 g per minute) were Kety et al. [79]. Increases in CBF, calculated without taking the capillaries into account, show a positive correlation with increasing CMRO2 [80]. Based on slight increases in CMRO2 observed following an increase in CBF [81], a coupling model of a positive correlation between CBF and CMRO2 [82, 83] was used widely to evaluate vascular response. Changes in CBF were used as a substitute for changes in oxygen metabolism. It is likely that this trend also affected fNIRS and led to the independent analysis of the levels of oxyHb, as performed today. Recent waveforms of increases in the levels of oxyHb closely resemble the waveforms of increases in blood flow reported by Roy and Sherrington in 1890. After more than 120 years, the interpretation of neurovascular coupling has not advanced considerably. Roy and Sherrington had foresight in their interpretation related to blood flow, but they did not observe cerebral oxygen metabolism.
Although the capillary transit time in humans is reported to be <10 seconds [84], PET sampling times are markedly longer. For this reason, PET data include changes in CBF in the capillaries related to oxygen exchange, coupled with the additional component of the delayed increase in CBF in the veins not accompanied by oxygen exchange. Using PET, a dissociation between CMRO2 and CBF has been reported [85, 86]. Using fMRI, signals have been shown to remain unaltered during the capillary transit time [87]. In other words, there is a need to move beyond the simplistic interpretation of neurovascular coupling, which predicts an increase in the levels of oxyHb and blood flow in response to neural activity. Figure 6 shows the relationship between neural activity and hemodynamic response schematically.
Schematic diagram of the possible hemodynamic responses occurring simultaneously with neural activity (revision from [
fNIRS is able to measure the levels of oxyHb and deoxyHb at the same time. Therefore, it is a useful tool to solve this serious problem of simultaneously measuring cerebral blood flow and cerebral oxygen metabolism which are faced by brain researchers for over 120 years. Future fNIRS research should distinguish between changes in blood volume and oxygenation occurring simultaneously with brain activity in the analysis of hemodynamic responses. In addition, it is necessary to re-evaluate activity-based hemodynamic responses using modalities such as EEG and MEG.
Research involving event-related optical signals [87] and invasive optical measurements [88, 89] has been unable to distinguish between oxygenation and blood volume. OxyHb and deoxyHb are involved in both oxygenation and blood volume. Thus, it may not be possible to evaluate brain activity based exclusively on the measurement of the levels of oxyHb.
Currently, an experimental protocol termed block task design, employing tasks that continue for ≥10 seconds (longer than the capillary transit time), is being used in many fNIRS studies. The reason for this is that the peak latency of oxyHb is generally 10 seconds (occasionally longer) from the initiation of a task. The use of this method in fNIRS studies has followed from its use in fMRI and PET research, where the low temporal resolution of the modality justifies the use of a block design. When a task requires a longer period of time corresponding to a block design or the task requires a certain amount of time to elapse for observation, the selection of a block design protocol in research using fNIRS, providing higher temporal resolution, is appropriate. With fNIRS, there is no need to repeat cognitive tasks involving factors such as perception, recognition, or judgment for prolonged time to obtain a sufficiently strong peak response in oxyHb levels. A block design including many task components does not clarify the correspondence between each task component and spatiotemporal local brain activity. Studies have also analyzed post-task time periods [90, 91]. However, the data from these studies lacked simultaneity with local brain activity and were unable to temporally and spatially identify local brain activity. Although EEG shows high simultaneity between data and brain activity, it is characterized by poor spatial resolution. In this respect, if the spatial resolution of fNIRS can be set from the standpoint of functional resolution as described earlier, its high temporal resolution may be valuable for event-related measurements.
The initial dip, which is early deoxygenation in event-related experiments, is a highly accurate spatial indicator of neural activity [92]. In studies using optical intrinsic signals (OIS), increase in the levels of deoxyHb occurring prior to slow increases in the levels of oxyHb or total Hb has also been considered to be an index of increased oxygen metabolism [88, 93, 94, 95, 96, 97]. The absence of a correspondence (spatial or temporal) between increases in early deoxygenation and blood volume was also shown in a human study using invasive optical imaging [98]. Kato et al. [67, 68, 99, 100] conducted the first fNIRS study measuring initial dips appearing in fNIRS signals from the motor, visual, and language areas. Subsequently, the initial dip was observed in several fNIRS studies [18, 32, 33, 34, 35, 36, 101].
It has been suggested that this early increase in the levels of deoxyHb may arise from a transient increase in the consumption of oxygen in tissues [102, 103]. It has been obvious that this deoxyHb increase is useful as a precise indicator of brain activity, but against the background that this increase in deoxyHb has been difficult to detect. For example, there is the case of less likely early deoxyHb increase depend on factors such as the type of task or the use of anesthesia [92]. A minimal and very localized increase may be attributed to imprecise fNIRS probe settings (i.e., missing the center of activity) or masking due to a strong increase in blood flow in the veins compromising detection.
With fMRI, what was reported previously as an early increase in the levels of deoxyHb was observed as an “initial dip” [21, 104, 105]. However, fMRI does not differentiate between oxyHb and deoxyHb. In addition, the relationship between increases or decreases in the levels of oxyHb and the increase in the levels of deoxyHb has not been investigated.
The more recently developed vector-based NIRS method [29, 30] is able to measure initial dips characterized by the canonical dip pattern showing increased deoxyhemoglobin, as well as several different hemoglobin patterns corresponding to differences in the degree of oxygen metabolism [32]. This method has permitted the reproducible measurement of hypoxic–ischemic initial dips (i.e., decreased levels of oxyHb) [34, 35, 36]. The initial dip at which the level of deoxyHb increases and the reaction where oxyHb increases after 2–3 seconds do not necessarily occur at the same site. Moreover, research on the intersection of these responses is limited, leading investigators to select one of the two responses (i.e., the typical oxyHb response or the initial dip) for the evaluation of brain activity. This serious problem may arise from the lack of quantification of brain activity. Indeed, the results of the evaluation of laterality in the language area [106, 107] may differ depending on the index used [108]. In addition, investigation of the relationship between event-related oxyHb and deoxyHb responses, especially those within seconds from neural activity, in previous fNIRS studies has been limited.
An advantage of fNIRS over other modalities is the simultaneous measurement of the levels of oxyHb and deoxyHb. However, this advantage leads to the following question: What do the various possible combinations of oxyHb, deoxyHb, and total Hb mean? Early fNIRS lacked a quantitative integrated theory for the interpretation of combinations of hemoglobin indices from multiple channels. Kato [29, 30] developed a quantitative method of analysis of the ratios between changes in the levels of oxyHb (ΔO) and deoxyHb (ΔD) to differentiate between oxygenation and blood volume.
This technique uses a two-dimensional vector plane on which vector tracks generated by task-related changes in cerebral blood volume (ΔCBV) and change in cerebral oxygen exchange (ΔCOE) are quantitatively classified into eight “phases.” This provides a visible graphical display of information concerning hemodynamic responses (Figure 7). This vector-based approach is able to calculate the angle
Functional near-infrared spectroscopy vector plane. Revised from [
Figure 7 shows an orthogonal vector coordinate plane defined by the ΔO and ΔD axes. Rotating this vector plane 45° counterclockwise results in an orthogonal vector coordinate plane defined by the ΔCBV and ΔCOE axes. For ΔCOE, a positive value indicates hypoxic change from ΔCOE = 0, whereas a negative value indicates hyperoxic change. The relationships among these four axes are described by the following square matrix:
Expansion of these shows ΔCBV and ΔCOE representing blood volume and oxygenation, respectively:
The scalar
The angle
A vector on the polar coordinate plane contains the four Hb indices (i.e., ΔO, ΔD, ΔCBV, and ΔCOE). The relationships between the four Hb vectors (Figure 7) are defined by the equations shown earlier in this section: Eqs. (1) and (2) define hemoglobin changes; Eq. (5) defines the scalar
The angle
Phases 1 through 5 on the vector plane were dip phases, showing increases in ΔD or ΔCOE; the presence of an event-related vector in these phases defined an initial dip.
Phase 1 (0 < ΔD < ΔO, ΔCOE<0 < ΔCBV) and Phase 2 (0 < ΔO < ΔD, 0 < ΔCOE<ΔCBV) are canonical dips [79], in which both ΔD and ΔO increase.
Phase 3 (ΔO < 0 < ΔD, 0 < ΔCBV<ΔCOE) is a hypoxic-hyperemic dip, in which ΔO decreases and ΔCBV increases.
Phase 4 (ΔO < 0 < ΔD, ΔCBV<0 < ΔCOE) and Phase 5 (ΔO < ΔD < 0, ΔCBV<0 < ΔCOE) are hypoxic–ischemic dips, in which ΔCOE increases and ΔCBV decreases.
Phases −1 through −3 are non-dip phases, in which ΔD and ΔCOE decrease.
Regarding oxygen metabolism, responses in the dip phases may indicate stronger brain activity than those in the non-dip phases. It is necessary to verify the strongest dip phases during the evaluation of the regulation between the oxygenation axis (ΔCOE) and the blood volume axis (ΔCBV) in the vector plane. The typical response corresponds to Phases −1 and − 2, interpreted as brain activity with a low degree of oxygen exchange. The responses in other phases should be evaluated in the same manner and the frequency of their occurrence should be investigated based on phase classifications. The percentage of dips in Wernicke’s area in Phases 1 and 2 was low (total: 15–21%). However, in Phases 4 and 5, this percentage was higher (total: 62–68%) [32]. Differences in the frequency of phase depending on the brain site and the task may have different physiological implications. The ratio between the decrease and increase in the levels of deoxyHb and oxyHb, respectively, in a typical response is not constant. The quantitative values of the phase angle
In Figure 8, time course data for previously reported initial dips are reproduced on a vector plane using the vector-based technique. Figure 8A and 8B show two different types of dip in different phases, depending on the observed change in the ΔCBV. In both fMRI and OIS, the canonical initial dip has been considered to be a response induced by increased levels of deoxyHb. Figure 8B shows an fNIRS initial dip (an increased ΔD accompanying a decreased ΔO), indicating Phase 4 [18, 32, 67, 68]. Recently, fNIRS was used to observe this new type of initial dip in primates [109].
Two kinds of initial dips [
As shown in Figure 8A, if this canonical initial dip detected by Malonek and Grinvald using OIS [94] corresponds to that of fMRI [95, 104], this would mean that the a blood oxygenation level-dependent (BOLD) signal from fMRI was able to differentiate between Phase 1, as a signal decrease, and Phase −1, as a signal increase. However, Phase 1 is an increased ΔCBV dip, in which ΔCOE decreases while the levels of deoxyHb increase. Thus, there is a discrepancy between the results from the two modalities. A theory bridging fNIRS and fMRI has been proposed, suggesting that a BOLD signal influenced by changes in ΔCBV closely resembles an increase in the levels of oxyHb [24]. In this model, the fMRI signal in the increased ΔCBV phase depends on the observed change in ΔO (not ΔD). Theoretically, this change may be considered to be a BOLD signal increase rather than a dip. Indeed, the use of the vector plane may explain the fact that the OIS initial dip does not correspond to that of fMRI.
In present, initial dips could be reliably detected with OIS [92, 93, 94, 95, 96, 97] and fNIRS [31, 32, 33, 34, 35, 36, 109]. On the other hand, the occurrence of the initial dip in fMRI has been doubted and its mechanism is still controversial [21, 22, 23, 24, 105]. Logothetis et al. [86] reported a period of latency, when the increase in the BOLD signal was flat for a few seconds at the beginning of the task. This shows the difficulty in detecting changes in phases during passage through the capillaries from those in the BOLD signal. Of note, the sensitivity of fMRI declines at detecting activities with high oxygen consumption. During early research on the combination of fMRI and fNIRS [9, 110], the concept of phases had not been introduced and the differences between these methods were not understood clearly.
Collectively, research has shown that these two modalities are physiologically inconsistent in their sensitivity to the initial dip, with significant differences between them. Moreover, animal studies have demonstrated the variation of ratios between changes in the levels of deoxyHb and oxyHb occurring simultaneously with neural activity (i.e., diversity of phase) [103, 109]. Using the concept of phases, it is also possible to re-evaluate the results of a previous fNIRS study [8] (Figure 2) and confirm that the results indicate Phase 1 in areas where oxygen consumption is high or in the time zone. The vector-based evaluation was able to show a short initial dip and sustained oxygen metabolism because the period of the task was long in this study. On the other hand, investigations that followed this previous study [8] may have evaluated the intensity of brain activity only (similar to
Local brain activity was quantified for the first time in 1993 using continuous-wave fNIRS, by substituting optical differential path length factors [8]. At that time, mmol∙mm (or mmol∙cm) was commonly used as the unit expressing the degree of change in the levels of Hb, taking the differential path length factor as 1 [111, 112]. The phase angle k expresses oxygen metabolism quantitatively in degrees. This offers the advantage of being independent of the actual levels of Hb. Figure 9 shows image displays from a verbal task [29, 30]. Local increases in the angle
Spatiotemporal imaging of cerebral oxygen exchange for a verbal task [
It has been shown that vector-based NIRS is able to quantitatively evaluate differences in the oxygen load in the prefrontal cortex arising from different breathing routes (Figure 10 [113]). In that study, although there were no significant differences in
Time courses of the angle
In usage of this vector-based approach, it may not be possible to obtain the correct phase value by conventional data processing. For example, if the deoxyHb and oxyHb data are processed independently (e.g., when normalization or statistical parametric mapping has been performed on only the oxyHb data) [114], this will change the ratios, and there is a risk that the values of k will be distorted.
In addition, a method of baseline correction, in which linear regression connecting the pre- and post-task period is used to emphasize the typical response, is available [115]. This may affect the angle
The precise detection of local brain activity was the original purpose of fNIRS. Nowadays, because of the vector-based approach, investigators can measure initial dips from the scalp. Progress has been achieved in the quantitative detection of local brain activity and the development of spatiotemporal imaging. However, some fNIRS studies are actually task-related studies using NIRS, never intended for the spatial localization of brain function. This together with other factors has introduced doubts regarding the validity of fNIRS. The historical background described earlier in this review may be useful as we attempt to erase these doubts and improve the spatial and temporal accuracy of fNIRS. Studies are warranted to examine the physiological significance of the different combinations of changes in the levels of the different Hb and changes in the characteristics of mapping depending on the selection of indices.
Local brain activity induces local oxygen consumption and demand for oxygen supply. Further research is required to investigate the relationship between the consumption of oxygen and the spatial distribution of oxygen supply accompanying local brain activity. The indices angle
Hypersonic flight is often described as flight at free stream Mach numbers exceeding five. However, from a physical standpoint, hypersonic flight refers to conditions in near-body boundary layers where a variety of complex, Mach-number dependent processes can emerge, including non-equilibrium flow of gas constituents, ionization and recombination of gas species, emission and absorption of radiation both within the gas and at the aerodynamic surface, difficult-to-predict laminar-to-turbulent boundary layer flow transition, conversion of high gas enthalpy and kinetic energy into high intensity surface heating, thermal ablation of aerodynamic surfaces, generation of high frequency screech modes, excitation of high frequency in-solid flutter, and various shock-boundary layer interactions.
Predicting and mitigating against intense surface heating and surface stress, particularly at the leading edges of aerodynamic bodies, remains a central challenge in hypersonic aerodynamics. High heat loads and stresses can ablate the leading edge, destabilizing the high speed flow, threatening the integrity of the aerodynamic body, and placing the body well outside its design envelope.
These phenomena are visually represented in Figure 1. As shown, large heat loads exist along all leading edges, being highest at the nose and decaying, due to boundary layer thickening and reduction of viscous heating, with distance from the nose.
Hypersonic glide vehicle, leading edges experiencing high friction and heat loading [
The aerothermodynamic phenomena that arise during hypersonic flight make for very difficult mechanical design. This study focuses on the problem of leading edge heating. Here, a potential approach for mitigating against leading edge heating, introduction of a forward facing cavity, placed at the nose of a missile-shaped test body, is investigated in preliminary fashion.
Due to the complexity of hypersonic aerodynamic flows, numerical modeling and experimental diagnostics remain active areas of research. This Chapter presents a preliminary experimental and numerical investigation of heat transfer and flow structure produced by hypersonic flow over a missile shaped body, having both a solid nose and an on-nose forward-facing cavity.
An overview of the work performed and the results obtained is as follows:
Hypersonic flow experiments are carried out in the Hypersonic Wind Tunnel facility recently designed and built at UNC Charlotte [2, 3, 4]. Time-dependent schlieren images are obtained for Mach 4.5 flow about a small, solid nosed, missile-shaped body, as well as for Mach 3.5 flow over the same body, modified with an on-nose forward facing cavity.
A numerical model simulating these experimental flows is developed using STAR CCM+, a commercial software package that has recently been validated [5] against experimental heat transfer measurements in a range of hypersonic flows, including laminar and turbulent boundary layer flows [5], flows dominated by large separation bubbles [5], and flows featuring both boundary layer-shock interactions [5] and shock-shock interactions [5]. The present study appears to be one of the first to implement the modeling best practices documented in Cross and West’s wide ranging investigation [5]. Following [5], we highlight procedures for setting up high fidelity adaptive grids, setting up grids for resolving turbulent boundary layers, and for diagnosing solution convergence.
The Chapter introduces a new technique for significantly enhancing Schlieren images obtained in high speed flows. The technique replaces an array of raw, time-dependent, pixelated Schlieren images with a k-rank singular value image decomposition (SVD) [6], which suppresses static background and enhances time-varying flow features, such as oscillating bow shocks and body-generated Mach waves.
The numerical model is validated, in preliminary fashion, via three tests: (i) the computed drag force on the solid nose test article is compared against the drag estimated via Newton’s drag law, (ii) computed schlieren images of the near-body density gradient field are compared against experimental schlieren images, and (iii) computed bow shock standoff distances are compared against a correlation that connects the standoff distance to the cross-shock density ratio.
The complexity of hypersonic aerodynamic flows suggests that order of magnitude analyses can play an important role in interpreting experimental results, and in testing the physical consistency of numerical solutions. Here, we use scaling arguments to: (i) explain Newton’s drag law for hypersonic flow [7], and (ii) show that time scales for relaxation of excited vibration modes in shock layer molecular
Between 2019 and 2021, a blow down hypersonic wind tunnel was designed, built and tested at UNC Charlotte [2, 3, 4]; see Figure 2. The wind tunnel facility, pictured in Figure 2, consists of a modular/interchangeable bench top de Laval nozzle, a rectangular
UNC Charlotte hypersonic wind tunnel [
Compressed room air is stored in twelve high pressure cylinders, each connected to a single high pressure manifold, located immediately upstream of the nozzle plenum. The cylinders, rated for pressures up to 10,000 psi, are charged before each run using a commercial compressor. Prior to any given experimental run, a pressure-actuated, fast response ball valve, separating the manifold and plenum, is closed and manifold pressure is set at a magnitude that produces a pre-specified run time plenum pressure. Plenum/stagnation pressure and temperature are monitored using an in-plenum pressure sensor and thermocouple.
A schlieren system is used to image density gradient fields within the test section; experimental details are available in [3, 4, 8]. For this study, density gradient fields were imaged about a missile body having a solid nose, shown in Figure 3, and an open nose missile body, shown in Figure 4.
Solid nose model geometry used in wind tunnel experiments and numerical models.
Open nose/forward facing cavity geometry used in experiments and numerical models.
As depicted in Figure 3, the solid nose test piece investigated in this study is a pseudo-blunt body that mimics a missile-shaped body. The total length is 1.35 inches (3.43 cm), the forward diameter is 0.5 inches (1.26 cm), and the aft diameter is 0.6 inches (1.52 cm). The same body dimensions and shape are used in construction of all numerical models. Geometric specifications for the open-nose/forward-facing cavity body are shown in Figure 4. A simple cavity shape was chosen in which the depth and diameter of the circular cavity are the same, 0.2 inches (0.508 cm). Again, these dimensions are used in all numerical models of flow over the open-nose body.
Density gradient fields and test chamber pressure histories captured during Mach 4.5 flow over the solid nose missile body are shown in Figure 5. The rapid rise and fall in chamber Mach number is produced by opening and closure of the fast response (0.25 s response time) ball valve separating the high pressure manifold and nozzle plenum. The noisy variations in pre- and post-run Mach numbers reflect leakage of high pressure air from the pressurized manifold through the ball valve into the nozzle plenum.
Schlieren imaging and Mach number measurements in Mach 4.5 flow over solid nose missile body.
The raw schlieren image clearly indicates the presence of a bow shock, as well as Mach waves emanating from the quasi-cylindrical portion of the missile body. The latter are induced by small grooves in the body surface, produced during machining of the shape. In addition, a (conical) expansion fan is indicated at the trailing (circular) base of the missile body. The somewhat coarse nature of the images, here and below, reflects the nature of these early experiments, designed to shake down and optimize the wind tunnel. Note, that the solid body on the aft side of the test body is a stinger to which the body is attached.
Similar results, shown in Figure 6, are observed for Mach 3.5 flow past the open-nose missile body. Here, the schlieren image is darker and more monochrome than in Figure 5, reflecting slight misalignment of the schlieren system. Due to failure of an early Pitot tube at Mach 4.5, these tests were run at Mach 3.5.
Schlieren imaging and Mach number measurements in Mach 3.5 flow over open nose missile body.
Singular value decomposition (SVD) has found wide application in image processing [9], where the common theme centers on obtaining a sparse representation, via SV decomposition, of a raw image or a time sequence of raw images, i.e., a video. This study introduces what we believe to be the first application of SVD to the enhancement of raw schlieren images, here obtained in our hypersonic wind tunnel experiments.
The technique, described in [6], proceeds as follows:
Raw, digitized schlieren video images, taken during any given experimental run, are sequentially arranged into a time series matrix,
Perform SV decomposition on matrix
Remove static (time-invariant) features from
where
Applying this image enhancement technique to our raw schlieren video images, single frames of which are shown in Figures 5 and 6, we obtain the images in Figures 7 and 8. Roughly speaking, in the present application, choosing a larger rank
SVD-enhanced imaging of Mach 4.5 flow over closed nose missile body; left image is a rank 1 representation of a raw schlieren image and the right is a rank 20 representation.
SVD-enhanced imaging of Mach 3.75 flow over open nose missile body; left image is a rank 1 representation of a raw schlieren image and the right is a rank 20 representation.
Further details and results obtained by this method will be reported in a separate publication.
Computational models of unsteady, three-dimensional hypersonic flow over the closed and open nose missile bodies used in our experiments were developed. As noted, and based on the recent validation studies reported by Cross and West [5], the commercial CCM+ package was employed. The objectives of this effort were two-fold:
Determine appropriate turbulence models and adaptive meshing strategies that provide consistent predictions of experimentally observed density gradient fields, as revealed by schlieren imaging.
Use the experimentally validated computational model to investigate, in preliminary fashion, surface heat transfer to closed and open nose missile bodies.
A secondary objective centered on investigating the effects of three gas models – ideal gas, equilibrium real gas, and non-equilibrium, two-specie (nitrogen and oxygen) models – on computed flow fields and surface heat transfer.
In this section, we briefly describe the general flow model, then highlight three modeling features that are crucial to obtaining physically reasonable computed results, and finally discuss a limitation associated with both the present model and the model developed by Cross and West [5].
The model solution domain is depicted in Figure 9. The missile body is placed forward of center in a spherical domain. As is often the case in aerodynamic flow models, the size of the solution domain is somewhat arbitrarily chosen; the goal in this study is to make the domain large enough that free stream boundary conditions can be reasonably imposed on the far field boundary. [Model validation against experimental data, here, experimental schlieren images, implies that the chosen domain size is appropriate.]
Solution domain.
No slip and no penetration conditions are imposed on the missile body surface. Mirror flow (and thermal transport) symmetry is assumed about any plane passing through the center of the sphere. Thus, on the (deep blue) circular symmetry boundary, derivatives of all field variables with respect to the azimuthal angle,
STAR-CCM+ provides a number of utilities that allow high fidelity modeling of stationary hypersonic aerodynamic flows. The most important of these, adaptive meshing, iteratively refines meshes in regions where pressure gradients are high, e.g., in and near shocks. Similarly, in high velocity gradient regions, e.g., turbulent boundary layer viscous sublayers, buffer layers, and logarithmic regions, STAR CCM+ continuously monitors and alters mesh thicknesses.
STAR-CCM+ constructs stationary turbulent solutions of the Navier-Stokes equations in two steps. First, beginning from a specified initial condition and a user-specified initial coarse mesh, STAR CCM+ incrementally increases the free stream Mach number, solves the inviscid Navier-Stokes equations, and, using computed pressure gradient and velocity fields, refines the mesh in high pressure and velocity gradient regions. The initial condition and mesh can be somewhat arbitrarily specified: a global zero or low speed velocity can be imposed, for example, while the initial mesh is constructed via a few user-specified mesh parameters [5]. Examples of inviscid construction of the initial mesh are shown in Figure 10.
Automated mesh refinement based on inviscid flow solution, obtained at 1000, 3000 and 6000 iterations, respectively; the final inviscid mesh provides the initial mesh for the complete viscous solution.
Once an inviscid solution is obtained at the desired free stream Mach number, STAR CCM+ then iteratively solves the full Navier-Stokes equations, continuing to adapt the mesh as a converged stationary solution is approached. Regarding convergence, in all numerical experiments, we monitor both computed drag force and mesh cell count, stopping a simulation when these have reached nominally steady magnitudes. Figure 11 shows an example.
Solution convergence is determined by monitoring mesh cell count and net computed drag during iterative solution of the full viscous flow problem.
Cross and West [5] provide detailed guidance on choosing software settings designed to ensure third order solution accuracy (except within shocks, where second order accuracy is achieved), solution stability, and proper resolution of boundary layers.
Comparing model predictions against experimental data represents the gold standard in code validation. In this study, we are limited to presenting three semi-quantitative checks and one consistency check on our computational model.
First, based on the experimental stagnation temperature and pressures,
Next, estimate the drag force on the body as
or
where
As a second check, and as shown in Figure 12, we compare a computed density gradient field, as indicated by the numerical schlieren image shown, against a corresponding (raw) experimental schlieren image, both obtained for Mach 4.5 flow over the solid nose missile body. Comparing the distances from the bow shock nose to the locations on the upper and lower image boundaries where the bow shock meets the boundary, we find that
Numerical Schlieren image versus experimentally observed Schlieren for Mach 4.5 flow over solid nose missile body.
and
Since computed density gradient fields require accurate solutions for velocity, pressure, temperature, and density fields, this rough comparison indicates the physical fidelity of computed results. Note that the validation case implemented the ideal gas equation of state. As discussed below, improved results would likely be observed using STAR-CCM+’s two-specie nonequilibrium gas model.
As a third check on our model, we compare computed shock displacement distances,
Geometry | Equation of state | Shock detachment distance (mm) |
---|---|---|
No cavity | Ideal gas | 0.9 |
Real gas | 1.0 | |
Thermal non-equilibrium | 1.1 | |
Cavity | Ideal gas | 1.1 |
Real gas | 1.2 | |
Thermal non-equilibrium | 1.5 |
Shock standoff distance as predicted by each equation of state.
where
while
Using experimental/model parameters:
which, as shown in Table 1, is comparable to
Finally, a consistency check on the model’s resolution of the body-adjacent turbulent boundary layer is obtained via plots of the dimensionless thickness,
Distribution of at-surface viscous sublayer Reynolds numbers, as given by
Experimental test section Mach numbers range from 3.5 to 4.5. Thus, according to [5, 13], molecular vibration modes are collisionally excited in
Importantly, the scaling arguments indicate that the two-specie
Anderson [13] provides a useful graph indicating temperature ranges over which vibrational excitation, dissociation
As shown in Figure 14, for Mach 4.5 flow over the solid missile body, all three gas models predict similar temperature distributions, with most of the thin gas layer between the shock and body exhibiting temperatures well in excess of 800 K. Physically, there are three possible sources generating this high temperature gas layer:
viscous heating within the bow shock, produced by a large reduction in gas velocity—of order
viscous heating within the gas layer; and
pressure heating, taking place between the upstream face of the bow shock, where
Computed temperature distributions for Mach 4.5 flow over solid nose missile body.
Focusing on the energy equation and introducing appropriate length, time, and velocity scales, estimates for temperature increases produced by the first two mechanisms are obtained by balancing the temporal change in fluid enthalpy, against the dominant (streamwise) term in the viscous dissipation function:
Estimating the time scales for mechanisms (a) and (b), respectively, as
Clearly, viscous dissipation, both within the shock and within the near-body gas layer, plays a minimal role in generating the high temperatures observed between the shock and nose.
By contrast, balancing the temporal enthalpy change (of a fluid particle) against the temporal pressure heating term,
and again estimating the gas layer (flow) time scale as
where again, from normal shock theory,
A similar analysis helps explain the high temperature gas layer observed in flow over the open nose missile body. See Figure 15.
Computed temperature distributions for Mach 4.5 flow over open nose missile body.
Within the near-nose gas layer, all three gas models predict temperatures well in excess of the approximate (1 atm) 800 K threshold [5, 13] where vibration modes in
What is the physical origin of the criterion in [5, 13] concerning the temperature-dependent threshold for significant vibrational excitation?
Since the mean pressure in the layer is on the order of 10 atm
Since collisions induce vibrational excitation, then considering the equilibrium kinetic energy,
and equilibrium vibrational energy [16]
of individual
where
Considering the second question, since
Considering relaxation of vibrationally excited
where, for
Importantly, in the high temperature, near-nose gas region, the relaxation time for
Physically, while
Finally, and importantly, the close qualitative and quantitative agreement observed between predicted temperature distributions in Figures 14 and 15, provides strong evidence that the empirical relations introduced in STAR CCM+’s ideal and real gas models [5] are physically reasonable.
Our numerical experiments indicate that within approximately
Boundary heat flux distribution for each gas equation of state—Mach 4.5 flow over solid missile body.
Boundary heat flux distribution for each gas equation of state—Mach 4.5 flow over solid missile body—three-dimensional view.
Interestingly, experimentally observed heat flux distributions on solid nose projectile bodies in [19]—having similar shapes as those used in the present study—were too (spatially) coarse to resolve both the near-nose turbulent boundary layer transition and the resulting ring of intense heat transfer observed here.
The physical origin of the rapid transition to the near-nose turbulent boundary layer, taking place on a ten micron length scale, remains an open question. Based on observed subsonic conditions within the hemispherical gas layer of radius
Computed Mach number fields for Mach 4.5 flow over closed and open nose missile shapes.
Our numerical experiments reveal that along the cylindrical walls, as well as the circular base of our forward facing cavity, surface heat fluxes exceed the maximum flux observed on the solid nose body; compare Figures 16 and 19. The free stream Mach number in both cases is 4.5; since the ideal gas and real gas models appear to under-predict in-cavity heat transfer—see [8]—the results shown in Figure 19 are obtained using the two-specie non-equilibrium gas model.
Computed boundary heat flux distribution for Mach 4.5 flow over open nose body; two-species thermal non-equilibrium gas model.
We surmise that concentration of thermal energy within the cavity is produced by relatively low in-cavity velocities—see Figure 20—which extend residence/flow time scales, thus enhancing deposition of decaying vibrational energy. As discussed in [8], and in contrast to the quantitatively consistent flux predictions for flow over the cavity-free body—see Figure 16—STAR CCM+’s ideal and real gas models apparently under-predict this effect when the ratio of flow to (vibration) relaxation time scale becomes too large.
Computed instantaneous in-cavity and near-nose velocity fields for Mach 4.5 flow over open nose body; two specie, non-equilibrium gas model.
As shown in the numerical experiments in [8], and consistent, for example, with the numerical simulations in [21], introduction of a forward facing cavity reduces heat transfer to the aerodynamic body at all points downstream of the cavity. Physically, this appears to reflect the cavity functioning as a heat sink, transferring gas enthalpy to the walls of the cavity. Clearly, this heat sink effect must be accommodated for in designing open nose hypersonic aerodynamic bodies.
Schlieren images of Mach 4.5 and 3.5 flow, about closed and open nose missile bodies, respectively, were obtained in the hypersonic wind tunnel at UNC Charlotte.
Comparisons between numerically predicted and experimentally observed as well as between numerically calculated and physically estimated drag forces and shock standoff distances suggest that the STAR CCM+ software package provides high quality predictions of hypersonic aerodynamic flows, consistent with the results reported in [5].
A new technique, based on static background removal and SVD decomposition of raw digital schlieren images, provides significantly enhanced detail of experimentally imaged high speed flow fields.
Numerical experiments reveal that in hypersonic (Mach 4) flow over solid nose bodies, turbulent boundary layer transition takes place on tens of micron length scales. The physical origin of this extremely rapid transition remains an open question. Near-nose transition produces a ring-shaped zone of enhanced heat transfer immediately downstream of the missile nose.
Numerical experiments also reveal that forward facing cavities function as heat sinks, absorbing elevated near-nose gas enthalpy and reducing heat transfer to the body downstream of the cavity.
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Emdad Haque and M. Salim Uddin",authors:[{id:"163390",title:"Dr.",name:"C. Emdad",middleName:null,surname:"Haque",slug:"c.-emdad-haque",fullName:"C. Emdad Haque"},{id:"168399",title:"Mr.",name:"Mohammed S",middleName:null,surname:"Uddin",slug:"mohammed-s-uddin",fullName:"Mohammed S Uddin"}]},{id:"56731",doi:"10.5772/intechopen.70351",title:"Affective Technology Acceptance Model: Extending Technology Acceptance Model with Positive and Negative Affect",slug:"affective-technology-acceptance-model-extending-technology-acceptance-model-with-positive-and-negati",totalDownloads:2395,totalCrossrefCites:8,totalDimensionsCites:15,abstract:"Research works on TAM, TAM2, TAM3 and UTAUT has always focused on cognitive aspect of technology acceptance in the past two decades. Acceptance of technologies such as eCommerce, Mobile and ERP that considered emotion and affect are still less. This creates a gap in the technology acceptance research, which consider the role of affect into technology acceptance model. This study considers the role of affect of a knowledge worker that work in Multimedia Super Corridor (MSC)-status organizations in Malaysia on their behavioural intention to use knowledge sharing tools (KS tools) in their day-to-day tasks. Hence, Affective Technology Acceptance (A.T.A) model has been proposed. The behavioural intention on the acceptance of KS tools will be hypothesize in the Affective Technology Acceptance (A.T.A) model. Positive (PA) and Negative (NA) affect as the role of affect construct were introduce in this model to investigate its influence on KS tools usefulness and ease of use among employees in Multimedia Super Corridor organizations. The findings of this study highlighted that NA has no impact on perceive usefulness. The findings also showed that PA has very significant positive influence on PU, PEOU and BI with impact on PEOU being the greatest.",book:{id:"5491",slug:"knowledge-management-strategies-and-applications",title:"Knowledge Management Strategies and Applications",fullTitle:"Knowledge Management Strategies and Applications"},signatures:"Angela Lee Siew Hoong, Lip Sam Thi and Mei-Hua Lin",authors:[{id:"190265",title:"Associate Prof.",name:"Angela",middleName:"Siew Hoong",surname:"Lee",slug:"angela-lee",fullName:"Angela Lee"},{id:"195089",title:"Prof.",name:"Lip Sam",middleName:null,surname:"Thi",slug:"lip-sam-thi",fullName:"Lip Sam Thi"},{id:"195090",title:"Prof.",name:"Mei Hua",middleName:null,surname:"Lin",slug:"mei-hua-lin",fullName:"Mei Hua Lin"}]},{id:"55633",doi:"10.5772/intechopen.68933",title:"Parental Self-efficacy in Promoting Children Care and Parenting Quality",slug:"parental-self-efficacy-in-promoting-children-care-and-parenting-quality",totalDownloads:2117,totalCrossrefCites:9,totalDimensionsCites:14,abstract:"Parental self-efficacy (PSE) emerges as a crucial variable into exploring variability in parenting quality. After introducing the link between PSE and parental competence, the role of PSE on parenting quality, its multiple influences, and transactional effects connected to contextual or cultural variables are discussed. The chapter addresses some key issues: (a) the levels of PSE measurement (i.e., domain- or task-specific approach), their interrelationship and magnitude as mutual predictors (study 1); (b) infant-caring, parent’s adjustment, and PSE development in the transition to parenthood (study 2); (c) parenting difficult children and the role of PSE as a “buffer” variable moderating the effects of negative child’s characteristics on parenting skills; and (d) PSE beliefs in family context, the relationships with other family measures (marital self-efficacy and stress), and their associations with children’s adjustments (study 3). Finally, in the study 4, PSE is presented as an outcome variable in a parent training. In all summarized studies, a special attention was devoted to father’s PSE as a specific factor affecting childrearing and parent’s well-being. As Bandura says, PSE is not a personality trait, but a learnable set of beliefs producing positive effects on parenting quality. Suggestions for family-based interventions enhancing PSE are discussed.",book:{id:"5605",slug:"parenting-empirical-advances-and-intervention-resources",title:"Parenting",fullTitle:"Parenting - Empirical Advances and Intervention Resources"},signatures:"Loredana Benedetto and Massimo Ingrassia",authors:[{id:"193200",title:"Prof.",name:"Loredana",middleName:null,surname:"Benedetto",slug:"loredana-benedetto",fullName:"Loredana Benedetto"},{id:"193901",title:"Prof.",name:"Massimo",middleName:null,surname:"Ingrassia",slug:"massimo-ingrassia",fullName:"Massimo Ingrassia"}]},{id:"60813",doi:"10.5772/intechopen.76198",title:"Crisis Management: A Historical and Conceptual Approach for a Better Understanding of Today’s Crises",slug:"crisis-management-a-historical-and-conceptual-approach-for-a-better-understanding-of-today-s-crises",totalDownloads:4713,totalCrossrefCites:9,totalDimensionsCites:12,abstract:"We argue that the basic and contemporary concepts related to crisis management, especially in the communication field, share some similarities with what was practiced in ancient civilizations such as the importance of direct contact between the leadership and the public. Other similarities include the accurate diagnosis of the real causes of the crisis, the forbiddance of the dissemination of false news and the reassurance of the public opinion that there is a solution to the crisis, a sound management decision, and a good plan for its implementation. We link the past time crises to the contemporary era, providing a comparison framework. The history of crisis tends to show us that the study of crisis management cannot be linked to a specific civilization or era, especially when humanity had witnessed multiple and complex environmental, political, economic, and military crisis. Moreover, some of the problems and complex issues in the modern era are rooted in history. Thus, many geopolitical crises nowadays are the result of old causes. The study of crisis management from an academic point of view should be a multifaceted analysis, including a historical, a cultural, and an anthropological one, which determines the course of evolution and consequences of the crisis.",book:{id:"6620",slug:"crisis-management-theory-and-practice",title:"Crisis Management",fullTitle:"Crisis Management - Theory and Practice"},signatures:"Khaled Zamoum and Tevhide Serra Gorpe",authors:[{id:"230918",title:"Prof.",name:"T. Serra",middleName:null,surname:"Gorpe",slug:"t.-serra-gorpe",fullName:"T. 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Other similarities include the accurate diagnosis of the real causes of the crisis, the forbiddance of the dissemination of false news and the reassurance of the public opinion that there is a solution to the crisis, a sound management decision, and a good plan for its implementation. We link the past time crises to the contemporary era, providing a comparison framework. The history of crisis tends to show us that the study of crisis management cannot be linked to a specific civilization or era, especially when humanity had witnessed multiple and complex environmental, political, economic, and military crisis. Moreover, some of the problems and complex issues in the modern era are rooted in history. Thus, many geopolitical crises nowadays are the result of old causes. The study of crisis management from an academic point of view should be a multifaceted analysis, including a historical, a cultural, and an anthropological one, which determines the course of evolution and consequences of the crisis.",book:{id:"6620",slug:"crisis-management-theory-and-practice",title:"Crisis Management",fullTitle:"Crisis Management - Theory and Practice"},signatures:"Khaled Zamoum and Tevhide Serra Gorpe",authors:[{id:"230918",title:"Prof.",name:"T. Serra",middleName:null,surname:"Gorpe",slug:"t.-serra-gorpe",fullName:"T. 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The use of the failure mode and effects analysis (FMEA) method in research has enabled the detection of defects in supply chain management and analysis of factors that may negatively affect the flow of goods. 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He is currently the Director of the Postgraduate Program in Implantology of the Bioface/UCAM/PgO (Montevideo, Uruguay), Director of the Cathedra of Biotechnology of the Catholic University of Murcia (Murcia, Spain), an Extraordinary Full Professor of the Catholic University of Murcia (Murcia, Spain) as well as the Director of the private center of research Biotecnos – Technology and Science (Montevideo, Uruguay). Applied biomaterials, cellular and molecular biology, and dental implants are among his research interests. He has published several original papers in renowned journals. 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Since 1983, he has been a faculty member of the RO Perelman Department of Dermatology, NYU School of Medicine, where he is codirector of a training grant in cutaneous biology. Dr. Blumenberg’s research is focused on the epidermis, expression of keratin genes, transcription profiling, keratinocyte differentiation, inflammatory diseases and cancers, and most recently the effects of the microbiome on the skin. 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He is especially interested in the genetic differentiation pattern and speciation process that correlate to the flashing pattern and mating behavior of some fireflies in Japan. He then worked for Olympus Corporation, a Japanese manufacturer of optics and imaging products, where he was involved in the development of luminescence technology and produced a bioluminescence microscope that is currently being used for gene expression analysis in chronobiology, neurobiology, and developmental biology. 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He has both an MS and Ph.D. in Biomedical Engineering. He was previously a research scientist at the University of California Los Angeles (UCLA) and visiting professor and researcher at the University of North Dakota. He is currently working in artificial intelligence and its applications in medical signal processing. In addition, he is using digital signal processing in medical imaging and speech processing. Dr. Asadpour has developed brain-computer interfacing algorithms and has published books, book chapters, and several journal and conference papers in this field and other areas of intelligent signal processing. He has also designed medical devices, including a laser Doppler monitoring system.",institutionString:"Kaiser Permanente Southern California",institution:null},{id:"169608",title:"Prof.",name:"Marian",middleName:null,surname:"Găiceanu",slug:"marian-gaiceanu",fullName:"Marian Găiceanu",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/169608/images/system/169608.png",biography:"Prof. Dr. Marian Gaiceanu graduated from the Naval and Electrical Engineering Faculty, Dunarea de Jos University of Galati, Romania, in 1997. He received a Ph.D. (Magna Cum Laude) in Electrical Engineering in 2002. Since 2017, Dr. Gaiceanu has been a Ph.D. supervisor for students in Electrical Engineering. He has been employed at Dunarea de Jos University of Galati since 1996, where he is currently a professor. Dr. Gaiceanu is a member of the National Council for Attesting Titles, Diplomas and Certificates, an expert of the Executive Agency for Higher Education, Research Funding, and a member of the Senate of the Dunarea de Jos University of Galati. He has been the head of the Integrated Energy Conversion Systems and Advanced Control of Complex Processes Research Center, Romania, since 2016. He has conducted several projects in power converter systems for electrical drives, power quality, PEM and SOFC fuel cell power converters for utilities, electric vehicles, and marine applications with the Department of Regulation and Control, SIEI S.pA. (2002–2004) and the Polytechnic University of Turin, Italy (2002–2004, 2006–2007). He is a member of the Institute of Electrical and Electronics Engineers (IEEE) and cofounder-member of the IEEE Power Electronics Romanian Chapter. He is a guest editor at Energies and an academic book editor for IntechOpen. He is also a member of the editorial boards of the Journal of Electrical Engineering, Electronics, Control and Computer Science and Sustainability. Dr. Gaiceanu has been General Chairman of the IEEE International Symposium on Electrical and Electronics Engineering in the last six editions.",institutionString:'"Dunarea de Jos" University of Galati',institution:{name:'"Dunarea de Jos" University of Galati',country:{name:"Romania"}}},{id:"4519",title:"Prof.",name:"Jaydip",middleName:null,surname:"Sen",slug:"jaydip-sen",fullName:"Jaydip Sen",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/4519/images/system/4519.jpeg",biography:"Jaydip Sen is associated with Praxis Business School, Kolkata, India, as a professor in the Department of Data Science. His research areas include security and privacy issues in computing and communication, intrusion detection systems, machine learning, deep learning, and artificial intelligence in the financial domain. He has more than 200 publications in reputed international journals, refereed conference proceedings, and 20 book chapters in books published by internationally renowned publishing houses, such as Springer, CRC press, IGI Global, etc. Currently, he is serving on the editorial board of the prestigious journal Frontiers in Communications and Networks and in the technical program committees of a number of high-ranked international conferences organized by the IEEE, USA, and the ACM, USA. He has been listed among the top 2% of scientists in the world for the last three consecutive years, 2019 to 2021 as per studies conducted by the Stanford University, USA.",institutionString:"Praxis Business School",institution:null},{id:"320071",title:"Dr.",name:"Sidra",middleName:null,surname:"Mehtab",slug:"sidra-mehtab",fullName:"Sidra Mehtab",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y00002v6KHoQAM/Profile_Picture_1584512086360",biography:"Sidra Mehtab has completed her BS with honors in Physics from Calcutta University, India in 2018. She has done MS in Data Science and Analytics from Maulana Abul Kalam Azad University of Technology (MAKAUT), Kolkata, India in 2020. Her research areas include Econometrics, Time Series Analysis, Machine Learning, Deep Learning, Artificial Intelligence, and Computer and Network Security with a particular focus on Cyber Security Analytics. Ms. Mehtab has published seven papers in international conferences and one of her papers has been accepted for publication in a reputable international journal. She has won the best paper awards in two prestigious international conferences – BAICONF 2019, and ICADCML 2021, organized in the Indian Institute of Management, Bangalore, India in December 2019, and SOA University, Bhubaneswar, India in January 2021. Besides, Ms. Mehtab has also published two book chapters in two books. Seven of her book chapters will be published in a volume shortly in 2021 by Cambridge Scholars’ Press, UK. Currently, she is working as the joint editor of two edited volumes on Time Series Analysis and Forecasting to be published in the first half of 2021 by an international house. Currently, she is working as a Data Scientist with an MNC in Delhi, India.",institutionString:"NSHM College of Management and Technology",institution:{name:"Association for Computing Machinery",country:{name:"United States of America"}}},{id:"226240",title:"Dr.",name:"Andri Irfan",middleName:null,surname:"Rifai",slug:"andri-irfan-rifai",fullName:"Andri Irfan Rifai",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/226240/images/7412_n.jpg",biography:"Andri IRFAN is a Senior Lecturer of Civil Engineering and Planning. He completed the PhD at the Universitas Indonesia & Universidade do Minho with Sandwich Program Scholarship from the Directorate General of Higher Education and LPDP scholarship. He has been teaching for more than 19 years and much active to applied his knowledge in the project construction in Indonesia. His research interest ranges from pavement management system to advanced data mining techniques for transportation engineering. He has published more than 50 papers in journals and 2 books.",institutionString:null,institution:{name:"Universitas Internasional Batam",country:{name:"Indonesia"}}},{id:"314576",title:"Dr.",name:"Ibai",middleName:null,surname:"Laña",slug:"ibai-lana",fullName:"Ibai Laña",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/314576/images/system/314576.jpg",biography:"Dr. Ibai Laña works at TECNALIA as a data analyst. He received his Ph.D. in Artificial Intelligence from the University of the Basque Country (UPV/EHU), Spain, in 2018. He is currently a senior researcher at TECNALIA. His research interests fall within the intersection of intelligent transportation systems, machine learning, traffic data analysis, and data science. He has dealt with urban traffic forecasting problems, applying machine learning models and evolutionary algorithms. He has experience in origin-destination matrix estimation or point of interest and trajectory detection. Working with large volumes of data has given him a good command of big data processing tools and NoSQL databases. He has also been a visiting scholar at the Knowledge Engineering and Discovery Research Institute, Auckland University of Technology.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"314575",title:"Dr.",name:"Jesus",middleName:null,surname:"L. Lobo",slug:"jesus-l.-lobo",fullName:"Jesus L. Lobo",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/314575/images/system/314575.png",biography:"Dr. Jesús López is currently based in Bilbao (Spain) working at TECNALIA as Artificial Intelligence Research Scientist. In most cases, a project idea or a new research line needs to be investigated to see if it is good enough to take into production or to focus on it. That is exactly what he does, diving into Machine Learning algorithms and technologies to help TECNALIA to decide whether something is great in theory or will actually impact on the product or processes of its projects. So, he is expert at framing experiments, developing hypotheses, and proving whether they’re true or not, in order to investigate fundamental problems with a longer time horizon. He is also able to design and develop PoCs and system prototypes in simulation. He has participated in several national and internacional R&D projects.\n\nAs another relevant part of his everyday research work, he usually publishes his findings in reputed scientific refereed journals and international conferences, occasionally acting as reviewer and Programme Commitee member. Concretely, since 2018 he has published 9 JCR (8 Q1) journal papers, 9 conference papers (e.g. ECML PKDD 2021), and he has co-edited a book. He is also active in popular science writing data science stories for reputed blogs (KDNuggets, TowardsDataScience, Naukas). Besides, he has recently embarked on mentoring programmes as mentor, and has also worked as data science trainer.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"103779",title:"Prof.",name:"Yalcin",middleName:null,surname:"Isler",slug:"yalcin-isler",fullName:"Yalcin Isler",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRyQ8QAK/Profile_Picture_1628834958734",biography:"Yalcin Isler (1971 - Burdur / Turkey) received the B.Sc. degree in the Department of Electrical and Electronics Engineering from Anadolu University, Eskisehir, Turkey, in 1993, the M.Sc. degree from the Department of Electronics and Communication Engineering, Suleyman Demirel University, Isparta, Turkey, in 1996, the Ph.D. degree from the Department of Electrical and Electronics Engineering, Dokuz Eylul University, Izmir, Turkey, in 2009, and the Competence of Associate Professorship from the Turkish Interuniversity Council in 2019.\n\nHe was Lecturer at Burdur Vocational School in Suleyman Demirel University (1993-2000, Burdur / Turkey), Software Engineer (2000-2002, Izmir / Turkey), Research Assistant in Bulent Ecevit University (2002-2003, Zonguldak / Turkey), Research Assistant in Dokuz Eylul University (2003-2010, Izmir / Turkey), Assistant Professor at the Department of Electrical and Electronics Engineering in Bulent Ecevit University (2010-2012, Zonguldak / Turkey), Assistant Professor at the Department of Biomedical Engineering in Izmir Katip Celebi University (2012-2019, Izmir / Turkey). He is an Associate Professor at the Department of Biomedical Engineering at Izmir Katip Celebi University, Izmir / Turkey, since 2019. In addition to academics, he has also founded Islerya Medical and Information Technologies Company, Izmir / Turkey, since 2017.\n\nHis main research interests cover biomedical signal processing, pattern recognition, medical device design, programming, and embedded systems. He has many scientific papers and participated in several projects in these study fields. He was an IEEE Student Member (2009-2011) and IEEE Member (2011-2014) and has been IEEE Senior Member since 2014.",institutionString:null,institution:{name:"Izmir Kâtip Çelebi University",country:{name:"Turkey"}}},{id:"339677",title:"Dr.",name:"Mrinmoy",middleName:null,surname:"Roy",slug:"mrinmoy-roy",fullName:"Mrinmoy Roy",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/339677/images/16768_n.jpg",biography:"An accomplished Sales & Marketing professional with 12 years of cross-functional experience in well-known organisations such as CIPLA, LUPIN, GLENMARK, ASTRAZENECA across different segment of Sales & Marketing, International Business, Institutional Business, Product Management, Strategic Marketing of HIV, Oncology, Derma, Respiratory, Anti-Diabetic, Nutraceutical & Stomatological Product Portfolio and Generic as well as Chronic Critical Care Portfolio. A First Class MBA in International Business & Strategic Marketing, B.Pharm, D.Pharm, Google Certified Digital Marketing Professional. Qualified PhD Candidate in Operations and Management with special focus on Artificial Intelligence and Machine Learning adoption, analysis and use in Healthcare, Hospital & Pharma Domain. Seasoned with diverse therapy area of Pharmaceutical Sales & Marketing ranging from generating revenue through generating prescriptions, launching new products, and making them big brands with continuous strategy execution at the Physician and Patients level. Moved from Sales to Marketing and Business Development for 3.5 years in South East Asian Market operating from Manila, Philippines. Came back to India and handled and developed Brands such as Gluconorm, Lupisulin, Supracal, Absolut Woman, Hemozink, Fabiflu (For COVID 19), and many more. In my previous assignment I used to develop and execute strategies on Sales & Marketing, Commercialization & Business Development for Institution and Corporate Hospital Business portfolio of Oncology Therapy Area for AstraZeneca Pharma India Ltd. Being a Research Scholar and Student of ‘Operations Research & Management: Artificial Intelligence’ I published several pioneer research papers and book chapters on the same in Internationally reputed journals and Books indexed in Scopus, Springer and Ei Compendex, Google Scholar etc. Currently, I am launching PGDM Pharmaceutical Management Program in IIHMR Bangalore and spearheading the course curriculum and structure of the same. I am interested in Collaboration for Healthcare Innovation, Pharma AI Innovation, Future trend in Marketing and Management with incubation on Healthcare, Healthcare IT startups, AI-ML Modelling and Healthcare Algorithm based training module development. I am also an affiliated member of the Institute of Management Consultant of India, looking forward to Healthcare, Healthcare IT and Innovation, Pharma and Hospital Management Consulting works.",institutionString:null,institution:{name:"Lovely Professional University",country:{name:"India"}}},{id:"310576",title:"Prof.",name:"Erick Giovani",middleName:null,surname:"Sperandio Nascimento",slug:"erick-giovani-sperandio-nascimento",fullName:"Erick Giovani Sperandio Nascimento",position:null,profilePictureURL:"https://intech-files.s3.amazonaws.com/0033Y00002pDKxDQAW/ProfilePicture%202022-06-20%2019%3A57%3A24.788",biography:"Prof. Erick Sperandio is the Lead Researcher and professor of Artificial Intelligence (AI) at SENAI CIMATEC, Bahia, Brazil, also working with Computational Modeling (CM) and HPC. He holds a PhD in Environmental Engineering in the area of Atmospheric Computational Modeling, a Master in Informatics in the field of Computational Intelligence and Graduated in Computer Science from UFES. He currently coordinates, leads and participates in R&D projects in the areas of AI, computational modeling and supercomputing applied to different areas such as Oil and Gas, Health, Advanced Manufacturing, Renewable Energies and Atmospheric Sciences, advising undergraduate, master's and doctoral students. He is the Lead Researcher at SENAI CIMATEC's Reference Center on Artificial Intelligence. In addition, he is a Certified Instructor and University Ambassador of the NVIDIA Deep Learning Institute (DLI) in the areas of Deep Learning, Computer Vision, Natural Language Processing and Recommender Systems, and Principal Investigator of the NVIDIA/CIMATEC AI Joint Lab, the first in Latin America within the NVIDIA AI Technology Center (NVAITC) worldwide program. He also works as a researcher at the Supercomputing Center for Industrial Innovation (CS2i) and at the SENAI Institute of Innovation for Automation (ISI Automação), both from SENAI CIMATEC. He is a member and vice-coordinator of the Basic Board of Scientific-Technological Advice and Evaluation, in the area of Innovation, of the Foundation for Research Support of the State of Bahia (FAPESB). He serves as Technology Transfer Coordinator and one of the Principal Investigators at the National Applied Research Center in Artificial Intelligence (CPA-IA) of SENAI CIMATEC, focusing on Industry, being one of the six CPA-IA in Brazil approved by MCTI / FAPESP / CGI.br. He also participates as one of the representatives of Brazil in the BRICS Innovation Collaboration Working Group on HPC, ICT and AI. He is the coordinator of the Work Group of the Axis 5 - Workforce and Training - of the Brazilian Strategy for Artificial Intelligence (EBIA), and member of the MCTI/EMBRAPII AI Innovation Network Training Committee. He is the coordinator, by SENAI CIMATEC, of the Artificial Intelligence Reference Network of the State of Bahia (REDE BAH.IA). He leads the working group of experts representing Brazil in the Global Partnership on Artificial Intelligence (GPAI), on the theme \"AI and the Pandemic Response\".",institutionString:"Manufacturing and Technology Integrated Campus – SENAI CIMATEC",institution:null},{id:"1063",title:"Prof.",name:"Constantin",middleName:null,surname:"Volosencu",slug:"constantin-volosencu",fullName:"Constantin Volosencu",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/1063/images/system/1063.png",biography:"Prof. Dr. Constantin Voloşencu graduated as an engineer from\nPolitehnica University of Timișoara, Romania, where he also\nobtained a doctorate degree. He is currently a full professor in\nthe Department of Automation and Applied Informatics at the\nsame university. Dr. Voloşencu is the author of ten books, seven\nbook chapters, and more than 160 papers published in journals\nand conference proceedings. He has also edited twelve books and\nhas twenty-seven patents to his name. He is a manager of research grants, editor in\nchief and member of international journal editorial boards, a former plenary speaker, a member of scientific committees, and chair at international conferences. His\nresearch is in the fields of control systems, control of electric drives, fuzzy control\nsystems, neural network applications, fault detection and diagnosis, sensor network\napplications, monitoring of distributed parameter systems, and power ultrasound\napplications. He has developed automation equipment for machine tools, spooling\nmachines, high-power ultrasound processes, and more.",institutionString:'"Politechnica" University Timişoara',institution:null},{id:"221364",title:"Dr.",name:"Eneko",middleName:null,surname:"Osaba",slug:"eneko-osaba",fullName:"Eneko Osaba",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/221364/images/system/221364.jpg",biography:"Dr. Eneko Osaba works at TECNALIA as a senior researcher. He obtained his Ph.D. in Artificial Intelligence in 2015. He has participated in more than twenty-five local and European research projects, and in the publication of more than 130 papers. He has performed several stays at universities in the United Kingdom, Italy, and Malta. Dr. Osaba has served as a program committee member in more than forty international conferences and participated in organizing activities in more than ten international conferences. He is a member of the editorial board of the International Journal of Artificial Intelligence, Data in Brief, and Journal of Advanced Transportation. He is also a guest editor for the Journal of Computational Science, Neurocomputing, Swarm, and Evolutionary Computation and IEEE ITS Magazine.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"275829",title:"Dr.",name:"Esther",middleName:null,surname:"Villar-Rodriguez",slug:"esther-villar-rodriguez",fullName:"Esther Villar-Rodriguez",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/275829/images/system/275829.jpg",biography:"Dr. Esther Villar obtained a Ph.D. in Information and Communication Technologies from the University of Alcalá, Spain, in 2015. She obtained a degree in Computer Science from the University of Deusto, Spain, in 2010, and an MSc in Computer Languages and Systems from the National University of Distance Education, Spain, in 2012. Her areas of interest and knowledge include natural language processing (NLP), detection of impersonation in social networks, semantic web, and machine learning. Dr. Esther Villar made several contributions at conferences and publishing in various journals in those fields. Currently, she is working within the OPTIMA (Optimization Modeling & Analytics) business of TECNALIA’s ICT Division as a data scientist in projects related to the prediction and optimization of management and industrial processes (resource planning, energy efficiency, etc).",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"49813",title:"Dr.",name:"Javier",middleName:null,surname:"Del Ser",slug:"javier-del-ser",fullName:"Javier Del Ser",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/49813/images/system/49813.png",biography:"Prof. Dr. Javier Del Ser received his first PhD in Telecommunication Engineering (Cum Laude) from the University of Navarra, Spain, in 2006, and a second PhD in Computational Intelligence (Summa Cum Laude) from the University of Alcala, Spain, in 2013. He is currently a principal researcher in data analytics and optimisation at TECNALIA (Spain), a visiting fellow at the Basque Center for Applied Mathematics (BCAM) and a part-time lecturer at the University of the Basque Country (UPV/EHU). His research interests gravitate on the use of descriptive, prescriptive and predictive algorithms for data mining and optimization in a diverse range of application fields such as Energy, Transport, Telecommunications, Health and Industry, among others. In these fields he has published more than 240 articles, co-supervised 8 Ph.D. theses, edited 6 books, coauthored 7 patents and participated/led more than 40 research projects. He is a Senior Member of the IEEE, and a recipient of the Biscay Talent prize for his academic career.",institutionString:"Tecnalia Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"278948",title:"Dr.",name:"Carlos Pedro",middleName:null,surname:"Gonçalves",slug:"carlos-pedro-goncalves",fullName:"Carlos Pedro Gonçalves",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRcmyQAC/Profile_Picture_1564224512145",biography:'Carlos Pedro Gonçalves (PhD) is an Associate Professor at Lusophone University of Humanities and Technologies and a researcher on Complexity Sciences, Quantum Technologies, Artificial Intelligence, Strategic Studies, Studies in Intelligence and Security, FinTech and Financial Risk Modeling. He is also a progammer with programming experience in:\n\nA) Quantum Computing using Qiskit Python module and IBM Quantum Experience Platform, with software developed on the simulation of Quantum Artificial Neural Networks and Quantum Cybersecurity;\n\nB) Artificial Intelligence and Machine learning programming in Python;\n\nC) Artificial Intelligence, Multiagent Systems Modeling and System Dynamics Modeling in Netlogo, with models developed in the areas of Chaos Theory, Econophysics, Artificial Intelligence, Classical and Quantum Complex Systems Science, with the Econophysics models having been cited worldwide and incorporated in PhD programs by different Universities.\n\nReceived an Arctic Code Vault Contributor status by GitHub, due to having developed open source software preserved in the \\"Arctic Code Vault\\" for future generations (https://archiveprogram.github.com/arctic-vault/), with the Strategy Analyzer A.I. module for decision making support (based on his PhD thesis, used in his Classes on Decision Making and in Strategic Intelligence Consulting Activities) and QNeural Python Quantum Neural Network simulator also preserved in the \\"Arctic Code Vault\\", for access to these software modules see: https://github.com/cpgoncalves. He is also a peer reviewer with outsanding review status from Elsevier journals, including Physica A, Neurocomputing and Engineering Applications of Artificial Intelligence. Science CV available at: https://www.cienciavitae.pt//pt/8E1C-A8B3-78C5 and ORCID: https://orcid.org/0000-0002-0298-3974',institutionString:"University of Lisbon",institution:{name:"Universidade Lusófona",country:{name:"Portugal"}}},{id:"241400",title:"Prof.",name:"Mohammed",middleName:null,surname:"Bsiss",slug:"mohammed-bsiss",fullName:"Mohammed Bsiss",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/241400/images/8062_n.jpg",biography:null,institutionString:null,institution:null},{id:"276128",title:"Dr.",name:"Hira",middleName:null,surname:"Fatima",slug:"hira-fatima",fullName:"Hira Fatima",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/276128/images/14420_n.jpg",biography:"Dr. Hira Fatima\nAssistant Professor\nDepartment of Mathematics\nInstitute of Applied Science\nMangalayatan University, Aligarh\nMobile: no : 8532041179\nhirafatima2014@gmal.com\n\nDr. Hira Fatima has received his Ph.D. degree in pure Mathematics from Aligarh Muslim University, Aligarh India. Currently working as an Assistant Professor in the Department of Mathematics, Institute of Applied Science, Mangalayatan University, Aligarh. She taught so many courses of Mathematics of UG and PG level. Her research Area of Expertise is Functional Analysis & Sequence Spaces. She has been working on Ideal Convergence of double sequence. She has published 17 research papers in National and International Journals including Cogent Mathematics, Filomat, Journal of Intelligent and Fuzzy Systems, Advances in Difference Equations, Journal of Mathematical Analysis, Journal of Mathematical & Computer Science etc. She has also reviewed few research papers for the and international journals. She is a member of Indian Mathematical Society.",institutionString:null,institution:null},{id:"414880",title:"Dr.",name:"Maryam",middleName:null,surname:"Vatankhah",slug:"maryam-vatankhah",fullName:"Maryam Vatankhah",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Borough of Manhattan Community College",country:{name:"United States of America"}}},{id:"414879",title:"Prof.",name:"Mohammad-Reza",middleName:null,surname:"Akbarzadeh-Totonchi",slug:"mohammad-reza-akbarzadeh-totonchi",fullName:"Mohammad-Reza Akbarzadeh-Totonchi",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Ferdowsi University of Mashhad",country:{name:"Iran"}}},{id:"414878",title:"Prof.",name:"Reza",middleName:null,surname:"Fazel-Rezai",slug:"reza-fazel-rezai",fullName:"Reza Fazel-Rezai",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"American Public University System",country:{name:"United States of America"}}},{id:"426586",title:"Dr.",name:"Oladunni A.",middleName:null,surname:"Daramola",slug:"oladunni-a.-daramola",fullName:"Oladunni A. Daramola",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Federal University of Technology",country:{name:"Nigeria"}}},{id:"357014",title:"Prof.",name:"Leon",middleName:null,surname:"Bobrowski",slug:"leon-bobrowski",fullName:"Leon Bobrowski",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Bialystok University of Technology",country:{name:"Poland"}}},{id:"302698",title:"Dr.",name:"Yao",middleName:null,surname:"Shan",slug:"yao-shan",fullName:"Yao Shan",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Dalian University of Technology",country:{name:"China"}}},{id:"354126",title:"Dr.",name:"Setiawan",middleName:null,surname:"Hadi",slug:"setiawan-hadi",fullName:"Setiawan Hadi",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Padjadjaran University",country:{name:"Indonesia"}}},{id:"125911",title:"Prof.",name:"Jia-Ching",middleName:null,surname:"Wang",slug:"jia-ching-wang",fullName:"Jia-Ching Wang",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"National Central University",country:{name:"Taiwan"}}},{id:"332603",title:"Prof.",name:"Kumar S.",middleName:null,surname:"Ray",slug:"kumar-s.-ray",fullName:"Kumar S. Ray",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Indian Statistical Institute",country:{name:"India"}}},{id:"415409",title:"Prof.",name:"Maghsoud",middleName:null,surname:"Amiri",slug:"maghsoud-amiri",fullName:"Maghsoud Amiri",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Allameh Tabataba'i University",country:{name:"Iran"}}},{id:"357085",title:"Mr.",name:"P. Mohan",middleName:null,surname:"Anand",slug:"p.-mohan-anand",fullName:"P. Mohan Anand",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Indian Institute of Technology Kanpur",country:{name:"India"}}},{id:"356696",title:"Ph.D. Student",name:"P.V.",middleName:null,surname:"Sai Charan",slug:"p.v.-sai-charan",fullName:"P.V. Sai Charan",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Indian Institute of Technology Kanpur",country:{name:"India"}}},{id:"357086",title:"Prof.",name:"Sandeep K.",middleName:null,surname:"Shukla",slug:"sandeep-k.-shukla",fullName:"Sandeep K. Shukla",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Indian Institute of Technology Kanpur",country:{name:"India"}}}]}},subseries:{item:{id:"17",type:"subseries",title:"Metabolism",keywords:"Biomolecules Metabolism, Energy Metabolism, Metabolic Pathways, Key Metabolic Enzymes, Metabolic Adaptation",scope:"Metabolism is frequently defined in biochemistry textbooks as the overall process that allows living systems to acquire and use the free energy they need for their vital functions or the chemical processes that occur within a living organism to maintain life. Behind these definitions are hidden all the aspects of normal and pathological functioning of all processes that the topic ‘Metabolism’ will cover within the Biochemistry Series. Thus all studies on metabolism will be considered for publication.",coverUrl:"https://cdn.intechopen.com/series_topics/covers/17.jpg",hasOnlineFirst:!0,hasPublishedBooks:!0,annualVolume:11413,editor:{id:"138626",title:"Dr.",name:"Yannis",middleName:null,surname:"Karamanos",slug:"yannis-karamanos",fullName:"Yannis Karamanos",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002g6Jv2QAE/Profile_Picture_1629356660984",biography:"Yannis Karamanos, born in Greece in 1953, completed his pre-graduate studies at the Université Pierre et Marie Curie, Paris, then his Masters and Doctoral degree at the Université de Lille (1983). He was associate professor at the University of Limoges (1987) before becoming full professor of biochemistry at the Université d’Artois (1996). He worked on the structure-function relationships of glycoconjugates and his main project was the investigations on the biological roles of the de-N-glycosylation enzymes (Endo-N-acetyl-β-D-glucosaminidase and peptide-N4-(N-acetyl-β-glucosaminyl) asparagine amidase). From 2002 he contributes to the understanding of the Blood-brain barrier functioning using proteomics approaches. He has published more than 70 papers. His teaching areas are energy metabolism and regulation, integration and organ specialization and metabolic adaptation.",institutionString:null,institution:{name:"Artois University",institutionURL:null,country:{name:"France"}}},editorTwo:null,editorThree:null,series:{id:"11",title:"Biochemistry",doi:"10.5772/intechopen.72877",issn:"2632-0983"},editorialBoard:[{id:"243049",title:"Dr.",name:"Anca",middleName:null,surname:"Pantea Stoian",slug:"anca-pantea-stoian",fullName:"Anca Pantea Stoian",profilePictureURL:"https://mts.intechopen.com/storage/users/243049/images/system/243049.jpg",institutionString:null,institution:{name:"Carol Davila University of Medicine and Pharmacy",institutionURL:null,country:{name:"Romania"}}},{id:"203824",title:"Dr.",name:"Attilio",middleName:null,surname:"Rigotti",slug:"attilio-rigotti",fullName:"Attilio Rigotti",profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institutionString:null,institution:{name:"Pontifical Catholic University of Chile",institutionURL:null,country:{name:"Chile"}}},{id:"300470",title:"Dr.",name:"Yanfei (Jacob)",middleName:null,surname:"Qi",slug:"yanfei-(jacob)-qi",fullName:"Yanfei (Jacob) Qi",profilePictureURL:"https://mts.intechopen.com/storage/users/300470/images/system/300470.jpg",institutionString:null,institution:{name:"Centenary Institute of Cancer Medicine and Cell Biology",institutionURL:null,country:{name:"Australia"}}}]},onlineFirstChapters:{paginationCount:7,paginationItems:[{id:"82777",title:"Sustainability and Social Investment: Community Microhydropower Systems in the Dominican Republic",doi:"10.5772/intechopen.105995",signatures:"Michela Izzo, Alberto Sánchez and Rafael Fonseca",slug:"sustainability-and-social-investment-community-microhydropower-systems-in-the-dominican-republic",totalDownloads:4,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Globalization and Sustainability - Recent Advances, New Perspectives and Emerging Issues",coverURL:"https://cdn.intechopen.com/books/images_new/11476.jpg",subseries:{id:"91",title:"Sustainable Economy and Fair Society"}}},{id:"82387",title:"Kept Promises? 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