\r\n\tThus, we call for research and review papers on the chemistry and physics of dyes, pigments, and their intermediates, including chemical constituents, spectroscopic aspects, surface, solution, crystal formation, photochemical, and ecological or biological properties. The book will be of interest to a wide variety of researchers worldwide whose work involves various fields of activity such as dyes and pigment synthesis, imaging, sensor, energy, medicine, polymers, food product, toxicological properties, etc.
",isbn:"978-1-83768-114-3",printIsbn:"978-1-83768-113-6",pdfIsbn:"978-1-83768-115-0",doi:null,price:0,priceEur:0,priceUsd:0,slug:null,numberOfPages:0,isOpenForSubmission:!1,isSalesforceBook:!1,isNomenclature:!1,hash:"fcd069956c2e931195925b19a74ce9a3",bookSignature:"Dr. Brajesh Kumar",publishedDate:null,coverURL:"https://cdn.intechopen.com/books/images_new/12081.jpg",keywords:"Heterocycles Pigments, Azo, Nitro, Indigo, Alizarin, Chromophores, Chromophores, Photochemical, Sulphonation, Diazotisation, UV-Vis Spectroscopy, Metal-Ligand",numberOfDownloads:15,numberOfWosCitations:0,numberOfCrossrefCitations:0,numberOfDimensionsCitations:0,numberOfTotalCitations:0,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"May 19th 2022",dateEndSecondStepPublish:"June 16th 2022",dateEndThirdStepPublish:"August 15th 2022",dateEndFourthStepPublish:"November 3rd 2022",dateEndFifthStepPublish:"January 2nd 2023",dateConfirmationOfParticipation:null,remainingDaysToSecondStep:"2 months",secondStepPassed:!0,areRegistrationsClosed:!0,currentStepOfPublishingProcess:4,editedByType:null,kuFlag:!1,biosketch:"Dr. Brajesh Kumar has worked as a faculty member in various universities in India, Ecuador, and South Korea. He has published numerous SCI/SCIE/Scopus research articles and is an active reviewer of more than 50 Journals. Dr. Kumar is a member of the American Chemical Society, the Indian Society of Chemists and Biologists, and the Indian Science Congress Association and holder of two registered patents. He is included in the top 2% of the scientist list prepared by experts at Stanford University,",coeditorOneBiosketch:null,coeditorTwoBiosketch:null,coeditorThreeBiosketch:null,coeditorFourBiosketch:null,coeditorFiveBiosketch:null,editors:[{id:"176093",title:"Dr.",name:"Brajesh",middleName:null,surname:"Kumar",slug:"brajesh-kumar",fullName:"Brajesh Kumar",profilePictureURL:"https://mts.intechopen.com/storage/users/176093/images/system/176093.JPG",biography:"Dr. Brajesh Kumar is currently working as an Assistant Professor and Head in the Post Graduate Department of Chemistry, TATA College, Chaibasa, India. He received a Ph.D. in Chemistry from the University of Delhi, India. His research interest is in the development of sustainable and eco-friendly techniques for (a) nanoparticles synthesis and their applications for environmental remediation, (b) active films of organic solar cells, (c) nanomedicine, (d) sensors, (e) natural product extraction, purification, and analysis,(f) natural polymers, (g) peptide chemistry, (h) microwave and ultrasound-assisted organic synthesis and (i) organic synthesis. Dr. Brajesh Kumar has been credited for different national and international fellowships and he has also worked as a faculty member in various universities of India, Ecuador, and South Korea. He has also published numerous SCI/ SCIE/ Scopus research articles (h index = 29, Citations 2917) and is also an active reviewer of more than 50 Journals. He is also included in the top 2% of the scientist list prepared by experts at Stanford University, USA.",institutionString:"TATA College, Kolhan University",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"3",totalChapterViews:"0",totalEditedBooks:"2",institution:null}],coeditorOne:null,coeditorTwo:null,coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"8",title:"Chemistry",slug:"chemistry"}],chapters:[{id:"82796",title:"A Revisit of the Underlying Fundamentals in the Laser Emission from BODIPYs",slug:"a-revisit-of-the-underlying-fundamentals-in-the-laser-emission-from-bodipys",totalDownloads:15,totalCrossrefCites:0,authors:[null]}],productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"},personalPublishingAssistant:{id:"444318",firstName:"Nika",lastName:"Karamatic",middleName:null,title:"Ms.",imageUrl:"https://mts.intechopen.com/storage/users/444318/images/20011_n.jpg",email:"nika@intechopen.com",biography:"As an Author Service Manager, my responsibilities include monitoring and facilitating all publishing activities for authors and editors. From chapter submission and review to approval and revision, copyediting and design, until final publication, I work closely with authors and editors to ensure a simple and easy publishing process. I maintain constant and effective communication with authors, editors and reviewers, which allows for a level of personal support that enables contributors to fully commit and concentrate on the chapters they are writing, editing, or reviewing. I assist authors in the preparation of their full chapter submissions and track important deadlines and ensure they are met. I help to coordinate internal processes such as linguistic review, and monitor the technical aspects of the process. As an ASM I am also involved in the acquisition of editors. Whether that be identifying an exceptional author and proposing an editorship collaboration, or contacting researchers who would like the opportunity to work with IntechOpen, I establish and help manage author and editor acquisition and contact."}},relatedBooks:[{type:"book",id:"10469",title:"Nanofibers",subtitle:"Synthesis, Properties and Applications",isOpenForSubmission:!1,hash:"28dc655dde01b94399cab954663f8bff",slug:"nanofibers-synthesis-properties-and-applications",bookSignature:"Brajesh Kumar",coverURL:"https://cdn.intechopen.com/books/images_new/10469.jpg",editedByType:"Edited by",editors:[{id:"176093",title:"Dr.",name:"Brajesh",surname:"Kumar",slug:"brajesh-kumar",fullName:"Brajesh Kumar"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"10489",title:"Biocomposites",subtitle:null,isOpenForSubmission:!1,hash:"c794533fcae9dcea38672f814ae182db",slug:"biocomposites",bookSignature:"Brajesh Kumar",coverURL:"https://cdn.intechopen.com/books/images_new/10489.jpg",editedByType:"Edited by",editors:[{id:"176093",title:"Dr.",name:"Brajesh",surname:"Kumar",slug:"brajesh-kumar",fullName:"Brajesh Kumar"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"1591",title:"Infrared Spectroscopy",subtitle:"Materials Science, Engineering and Technology",isOpenForSubmission:!1,hash:"99b4b7b71a8caeb693ed762b40b017f4",slug:"infrared-spectroscopy-materials-science-engineering-and-technology",bookSignature:"Theophile Theophanides",coverURL:"https://cdn.intechopen.com/books/images_new/1591.jpg",editedByType:"Edited by",editors:[{id:"37194",title:"Dr.",name:"Theophile",surname:"Theophanides",slug:"theophile-theophanides",fullName:"Theophile Theophanides"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"3161",title:"Frontiers in Guided Wave Optics and Optoelectronics",subtitle:null,isOpenForSubmission:!1,hash:"deb44e9c99f82bbce1083abea743146c",slug:"frontiers-in-guided-wave-optics-and-optoelectronics",bookSignature:"Bishnu Pal",coverURL:"https://cdn.intechopen.com/books/images_new/3161.jpg",editedByType:"Edited by",editors:[{id:"4782",title:"Prof.",name:"Bishnu",surname:"Pal",slug:"bishnu-pal",fullName:"Bishnu Pal"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"371",title:"Abiotic Stress in Plants",subtitle:"Mechanisms and Adaptations",isOpenForSubmission:!1,hash:"588466f487e307619849d72389178a74",slug:"abiotic-stress-in-plants-mechanisms-and-adaptations",bookSignature:"Arun Shanker and B. 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The name ‘kelyphite’ was coined by Schrauf (1882) after a Greek word A rare example of isochemical breakdown of garnet has recently been found in a Czech garnet peridotite (Obata et al, 2011; Obata et al, in preparation).
Depending on the kinds of primary phases, rock chemical systems and the
it potentially provides a wealth of knowledge on the metamorphic history of the host rocks, including the
it improves our understanding of the processes and mechanism of metamorphic reactions, which has been another important subject of metamorphic petrology as a part of basic natural sciences.
Kelyphites and symplectites are ideal objects for studying the mechanism of metamorphic reactions, particularly when both the reactant and product phases are observed to be closely spaced together in a small volume in rocks–typically within a standard thin section size–forming what appears to be a chemically closed system (Mongkoltip & Ashworth, 1983; Obata, 1994).
\n\t\t\tThis paper focuses on the second aspect. Traditional petrography tends to emphasize and describe rich varieties of reaction textures, which has given rise to a wealth of textural terms but unfortunately forms a barrier for scientists of other fields to appreciate the significance of the interesting phenomena that petrologists observe. I emphasize in this article, by analyzing the observations and considering the physical processes, rather the similarity and universality among what appear to be different varieties and try to present a new dynamic view of the structural formation of kelyphite (and symplectite).
\n\t\t\tA good historical review of early works on kelyphites is given in Godard & Martin (2000) and is therefore not repeated here. More recent references include Obata (2007), Naemura et al. (2009), Medaris et al. (2009), Dégi et al. (2010) and Obata & Ozawa (2011), which are cited in the text. Mineral abbreviations follow Kretz (1983) except Sp for spinel.
\n\t\tI first classify the kelyphites, for the sake of description, into two types or categories according to their host rock lithologies:
\n\t\t\t\tone developed in garnet peridotites, in which olivine is an excess phase; and
another type that is developed in olivine-free mafic rocks such as eclogites, garnet pyroxenites or garnet granulites.
Although both types appear to have been developed replacing garnet (therefore called kelyphite), it was pointed out in early days (e.g., Becke, 1882) that the first type is not simply a breakdown product of garnet but should be regarded to be a reaction product between garnet and olivine; while the second type may be a breakdown products of garnet, which also may or may not be associated with significant material transfer across the kelyphite zones. The typical mineral assemblage of the first type is spinel + orthopyroxene + clinopyroxene. Ca–amphibole is a common accessory phase and may occur locally in place of clinopyroxene. The origin of such mineral assemblage has been interpreted in terms of the reaction:
\n\t\t\t\tor
\n\t\t\t\t, where the composition of garnet is fixed to Py2Gr1 (pyrope 2, grossular 1 in molecular ratio) and
The mineral assemblage of the second type is typically Opx + An + Sp with or without Cpx and Ca-amphibole. The origin of this assemblage may be ascribed to another reaction:
\n\t\t\t\tor
\n\t\t\t\tthat has the equilibrium position at lower pressures than reaction (1) (Kushiro & Yoder, 1966). It should be noted that Cpx may not occur if the reactant garnet is sufficiently less calcic than Py2Gr1 as such:
\n\t\t\t\tI shall review important textural and structural features of the two types of kelyphites using examples shown in Figs. 1 through 4. Although both types show clear fibrous and radial structure, there are important differences in texture between the two as well as those in mineralogy. The first type of kelyphite is surrounded by a thin rim (ca. 100 microns width) of coarse-grained pyroxenite, consisting mostly of Opx (a few hundreds microns grain size), which is referred to as ‘COR’ (abbreviation of Coarse Opx Rim)(Obata & Ozawa, 2011), separating the internal fine-grained fibrous part–the kelyphite,
Although both types of kelyphites are largely radial in a gross scale around garnet, some features of structural irregularity or internal incoherency occurs, which are best visible in transmitted light in optical microscopy (Fig. 1 and Fig. 2) and they are highlighted in line drawings in Fig. 5. Some kelyphite contain several lines of internal discontinuities, across which direction of lineation (of spinels) changes abruptly. In crossed polarized light extinction angle and interference colors may also changes slightly but abruptly across these discontinuities (Figs. 1b and 2b). These lines should represent intersections of planes of discontinuity in three dimensions and the thin section plane. Such curved plane of structural discontinuity present within the kelyphite volume are referred to as the ‘unconformity’ in this paper. It emerges at a certain critical point and may be traced inward to a singular point (a cusp) on a garnet grain boundary as illustrated in Fig. 5. We also note that lineation of the kelyphite, which is defined by spinel lamellae or ‘strings’, is always normal to the garnet grain boundary at the reaction front. When garnet bounday has a curvature, which is often the case, the spinel fibers change their direction accordingly to maintain locally its orthogonal relationship against the garnet grain boundary (Fig. 5). These planes of discontinuity represent the domain boundaries of kelyphite as described below. In actual formation processes, because kelyphitization starts to occur from the outermost side of the garnet and advances inward, the discontinuous plane emerges at some critical point forming a singular point on the garnet grain boundary
Photomicrographs of kelyphite Type 1, garnet peridotite, Ugelvik, Norway. (a) Plane-polarized light; (b) cross-polarized light with gypsum plate inserted to illuminate the kelyphite domain structure. White lines trace domain boundaries. Domain numbers refer to those in
Photomicrographs of kelyphite Type 2, garnet clinopyroxenite, Ronda, Spain. (a) Plane-polarized light; (b) cross-polarized light. White arrows indicate planes of discontinuity (i.e., unconformities) (cf.
Back-scatted electron (BSE) images of kelyphite Type 1, showing vermicular intergrowths of Opx, Cpx and spinel. (a) Garnet peridotite, Ugelvik, Norway (refer to
BSE images of kelyphite Type 2, Ronda (same sample as shown in
Another important observational feature of kelyphite of the first type, which has not been mentioned till Obata & Ozawa (2011) emphasized, is that it has a domain structure, in which each domain consists of a large single crystal of Opx that contains several small, irregularly-shaped patches of Cpx (Fig. 3). Both Opx and Cpx contain regularly-spaced numerous thin vermicular lamellae or ‘ribbons’ of spinel, forming a fine-scale pyroxene–spinel symplectite (Fig. 3b). This Opx domain structure is optically barely recognizable in cross- polarized light (Fig. 1) but the single-crystal nature of the Opx is only confirmed with the aid of EBSD (Fig. 8a; Obata & Ozawa, 2011). Therefore, it is the spinel and not the pyroxenes that gives rise to the fibrous appearance of kelyphites in the optical-microscope transmitted light. Each Opx domain has its internal coherent structure of lineation as defined by the spinel lamellae. These spinel lamellae are remarkably constant in thickness and are regular in the spatial alignment in a restricted area. Looking at more closely, however, the spinel lamellae are not necessarily straight but locally may show curved and sometimes convoluted structures (Fig. 3b). The spinel lamellae tend to ‘envelope’ or ‘outline’ the Cpx patches that reside in the Opx. It should be noted that, compared to the lamellar spinel, the Cpx patches are not that elongated and, therefore, do not necessarily contribute to the fibrous appearance of the kelyphite (Fig. 3b). The optical microscopy and the EBSD analysis reveals that the domain Opx in the kelyphite is continuous to the adjacent COR-Opx, keeping the same crystallographic orientation, and thus forming even a larger domain of single crystal of Opx (Fig. 1b; Fig. 8a). We refer this extended domain of single crystal Opx, covering both the fibrous kelyphitic part and the COR, as to the ‘cell’ and consider it as an important growth unit of the kelyphite as discussed below.
\n\t\t\t\tLine drawings of both types of kelyphite that emphasize internal structures, structural discontinuities (unconformities) and ‘cusps’ (marked with circles) along garnet grain boundaries. (a) Type 1: Norwegian garnet peridotite (cf.
In the second type of kelyphite the matrix phase of the kelyphite is plagioclase (typically nearly pure anorthite) and not Opx as in the first type. The plagioclase contains many thin densely-spaced lamellae or ‘strings’ of Opx defining clear lineations resulting the optically-recognizable radial and fibrous structure (Fig. 2). Locally these Opx lamellae locally grow to larger patches that contain very fine-scaled vermicular intergrowths of spinel of less than 1 m thickness (Fig. 4b). These Opx patches tend to get larger and more abundant moving towards the outer margin of the kelyphite. The tendency that spinel occurs only in large Opx patches or thick lamellae and not in the plagioclase matrix has been noted in other localities by Obata (1994; in garnet pyroxenite) and by Dégi et al. (2010; in mafic granulite xenoliths). Presence of domain structures in this type of kelyphite is also recognizable optically (Fig. 2b) and is now being confirmed with the aid of EBSD (Obata & Ozawa, in preparation).
\n\t\t\tCrystal grain size of or spatial scale within the kelyphites is quite variable among different samples from different tectonic settings and of probable different
the scale of spinel lamellae, i.e., the thickness of the lamellae or the average spacing of them;
the average size of the Cpx patches or the average spacing of them; and
the average size of the kelyphite domains (i.e., the Opx single crystal).
(The thickness of the spinel lamellae and the average spacing of them are inter-related to each other via average modal compositions and hence are treated as one independent parameter for scale.) For Norwegian sample, for example, the average spacing of the spinel lamellae is about 1 micron; the average distance between Cpx patches, measured along circular direction of the kelyphite shell, is a few tens of microns; and the average Opx domain size is approximately hundreds of microns (Fig. 3b). The spacing of spinel lamellae, however, may differ for different domains even within a single body of kelyphite, but there is a clear tendency that it decreases inward toward the garnet (Fig. 3). There appear to be correlation between scales (1) and (2) and further, with inferred formation temperatures of the kelyphites; i.e. the higher the temperature, the coarser the grain size of the kelyphite (Obata & Ozawa, 2011).
\n\t\t\t\tFor Type 2, the comparable scale of
\n\t\t\t\tof Type 1 is the spacing of Opx lamellae, and
the size of Opx patches that contain vermicular spinels; and
the size of the large crystallographically coherent domains. In addition, for this type, the fourth scale may have to be introduced to characterize the ultra-fine spinel lamellae within the Opx patches (typically less than 1 micron; Fig. 4b).
With the idea of the scales in mind it is interesting to compare the kelyphites with much coarser-grained pyroxene–spinel symplectites that occur in a high-temperature peridotite mass at Horoman, Japan (Takahashi & Arai, 1989; Morishita & Arai, 2003). Although the latter does not have a radial structure as kelyphites and does not contain relict garnets, it has been considered to be after garnet (Takahashi & Arai, 1989; Morishita & Arai, 2003; Obata et al., 1997; Odashima et al., 2008). Microstructure of the latter is very similar to that of a single domain of kelyphite although the scale is very different between the two (Fig. 6). Such structural similarity over different scales implies the existence of common physical processes of structural formation between the two. On the basis of the similarity and the topotaxic relationship as mentioned below, Obata & Ozawa (2011) proposed that the coarse-grained symplectite such as observed in the Horoman symplectite is a special case of kelyphite, in which only one or two domains (or cells) of kelyphite were formed. The factor that dictates the number of domains (or cells) will be discussed in relation to the nucleation rate as below.
\n\t\t\tThe texture is usually observed only in two dimensions in sections and we only infer their three-dimensional (3D) structure from collections of the two-dimensional (2D) images. Morishita (2000) is an example of such efforts. Morishita et al. (2003) went a step forward by directly observing the 3D structure of spinels within the Horoman symplectite by means of high-resolution X-ray CT (computed tomography), without physically slicing the rocks, and showed that the spinel, which appeared as discrete many grains within a pyroxene matrix, are in fact, connected to each other forming a large complex-shaped single grain of spinel (Fig. 7). On the basis of the similarity argument above, it is reasonable to suppose that the spinel grains in much finer-grained kelyphites are also continuous and are connected to each other over a long distance in three dimensions. The recognition of the continuity of spinel grains is important in the consideration of material transfer via grain-boundary diffusion as discussed below.
\n\t\t\t\tPhotomicrographs of (a) kelyphite from a Norwegian garnet peridotite (BSE image) and (b) pyroxene–spinel symplectite from Horoman peridotite (cross-polarized light) that show similarity in microstructure, despite of a large difference in scale between the two. (a) modified from
images of two single grains of spinel from a pyroxene–spinel symplectite, Horoman peridotite, recovered by X-ray CT. After
Crystallographic orientation maps of Opx (a) and spinel (b) in kelyphite, Norwegian garnet peridotite (cf.
An important advance recently made in the science of symplectite is the recognition of crystallographic (topotaxic) relationships by means of EBSD (electron back-scattered diffraction analysis) among the constituent minerals in the kelyphites and symplectites (Odashima et al., 2008; Obata & Ozawa, 2011). Their results are summarized as follows. It was shown for varieties of Type 1 kelyphites each kelyphite domain (or a cell) has a topotaxic relationship between Opx and Cpx by sharing their (100) and (010) and [001]. Two kinds of cells were recognized according to the topotaxic relationships between the spinel and pyroxenes:
\n\t\t\t\ttopotaxic cells, in which one of spinel {111} coincides with pyroxene (100) and one of spinel {110} coincides with pyroxene (010);
non-topotaxic cells, in which such topotaxic relationship between the spinel and pyroxenes is incomplete or absent (Obata & Ozawa, 2011).
It appears that kelyphites that formed at relatively high-temperatures, such as Czech garnet peridotite from Mohelno (Kamei et al., 2010), (>800°C) contain topotaxic cells; whereas those of lower-temperature origin (<800°C), such as Norwegian garnet peridotites from Ugelvik, Otrøy Island (Spengler et al., 2006), dominantly consists of non-topotaxic cells (Fig. 8). The boundary between the high temperature and the low temperature appear to lie somewhere around 800°C according to the two-pyroxene thermometry (Taylor, 1998) applied to the kelyphite pyroxenes (Obata & Ozawa, 2011). The spinel–pyroxene symplectite from the Horoman peridotite is regarded to represent a perfectly topotaxic cell that was formed after garnet at highest temperatures (>950°C, Ozawa & Takahashi, 1995; Ozawa, 2004) among the samples investigated.
\n\t\t\t\tIt is interesting to note that a mother phase garnet does not have any particular crystallographic relationships with the adjacent pyroxene or spinel in the kelyphite so long as investigated (Obata & Ozawa, 2011). The COR-Opx does not have any clear topotaxic relationship with adjacent olivines either, but it is possible that original relationship, if it ever once existed, may have been lost through plastic deformations of olivine and Opx as discussed below.
\n\t\t\t\tThe EBSD analysis on the second type of kelyphite is in progress but preliminary analysis shows a constancy of crystallographic orientation of the lamellar Opx, thereby defining a different kind of domain structures from Type 1 and the same topotaxic relationship between Opx and spinel as observed in the Type 1 kelyphite. Garnet does not seem to have any topotaxic relationships with pyroxene or spinel like Type 1, which is in accord with the results obtained by transmission electron microscope (TEM) analysis for a Type 2 kelyphite in a garnet granulite xenolith (Dégi et al., 2010).
\n\t\t\t\n\t\t\t\t\tFig. 9 shows a few more examples of symplectites from totally different chemical systems. (a) and (b) are symplectites replacing garnets in ultrahigh-temperature felsic or pelitic granulites, in which quartz is excess. In (a), garnet is partly replaced with an Opx–plagioclase symplectite, which is mounted in a matrix consisting of quartz and Cpx as primary phases (Sajeev et al., 2007). (b) shows a more complex texture where garnet is replaced with a spinel (hercynite)–plagioclase symplectite, which is further surrounded by a matrix consisting of coarse-grained spinel, plagioclase, alkali-feldspar, quartz, and sillimanite that is now altered to another kind of hercynite–plagioclase symplectite (Hiroi et al., 1997). These symplectites, except the one after sillimanite in (b), are clearly after garnet and both show radial structure like kelyphites; they are both called ‘symplectite’ in the original literature probably because of their coarse grain size. It is interesting to note that in (b) the grain size and the domain size of the Sp–plagioclase symplectite becomes suddenly much reduced near the garnet. Whether such a sudden change in microstructure is due to a temporal change of external physical conditions during the kelyphitization, such as the temperature change, or some internal and intrinsic mechanical control of structural development, is unknown and left to be studied. Note that, despite of such structural complexities, the fibrous structure of the symplectite yet tends to be normal to the reaction front of the garnet in both (a) and (b) no matter how strong the curvature of the boundary is.
\n\t\t\t\tPhotomicrographs (plane-polarized light) and sketches of varieties of symplectites. (a) Opx–Pl symplectite after garnet, high-temperature granulite, Sri Lanka; (b) Pl–Sp symplectite after garnet in khondalite, Sri Lanka. ‘Sill’, Pl–Sp symplectite after sillimanite. Scale bar is 1 mm for both photographs (from
It is obvious from their mineral assemblages of the symplectites that significant material transfer had occurred upon the breakdown of garnet in both cases. In (a), the symplectite is enveloped by a rim of Opx like COR in the Type 1 kelyphite in the peridotite case, but the adjacent phase is quartz in (a) instead of olivine in the peridotite. From the configuration of the minerals the net reaction for the formation of the symplectite in this case may be inferred as:
\n\t\t\t\tor using mineral formulas:
\n\t\t\t\tThis is an analogous reaction to a Ca-free version of reaction (1) as such:
\n\t\t\t\tor
\n\t\t\t\t(MacGregor, 1974). It is noted that reactions (4) and (5) may be related to each other through a substitution of Qtz and An in the former with Ol and Sp in the latter, respectively. In much the same way as Cpx appears in the Ca-saturated system to form reaction (1) in the peridotite system, Cpx may appear to reaction (4) for appropriate compositions of garnet. A more generallize expression for reaction (4) allowing the appearance of Cpx may then be written as:
\n\t\t\t\t, where
or as a product phase in Field B (
or also as a product but with Opx as a reactant phase in Field C (
Reaction (7) coincides with the one originally proposed by Sajeev et al. (2007), which explains the Opx–Plagioclase symplectite also present between the garnet and primary Cpx. It is predicted that for more calcic garnets (Fields B and C in Fig. 10.), Cpx becomes a product phase and appear in the symplectite assemblage as in reaction (8), which is again analogous to reaction (1) in the peridotite system. The Cpx-free reaction (4) is a special case where coefficient of Cpx (
Being guided by such ‘correspondence principle’, a similar operation may be made, by substituting Ol and Sp in reaction (5) with, this time, sillimanite and An, respectively, to obtain a new reaction for case (b) as:
\n\t\t\t\tor
\n\t\t\t\tThis may explain the observed sequence of minerals: Grt/ Pl–Sp symplectite/Sp/ An/Sill/, where Sp (outside the symplectite) and An correspond to the nodular spinel and COR-Opx, respectively in the kelyphite in the peridotite case (This is to suppose that sillimanite was a stable phase at the time of the reaction.) Note that for very calcic garnet (i.e.,
I here emphasize that different varieties of symplectites and kelyphites that are developed in chemically distinct systems may be interrelated and understood systematically with the aid of the ‘correspondence principle’ and ‘substitution’ operations for minerals, which makes the consideration for the mechanism of reactions for the peridotite case that will be given below more universal and applicable.
\n\t\t\t\tCoefficients of
\n\t\t\t\t\tFig. 9c shows another well-known example of symplectite where omphacite is partly decomposed into assembly of diopsidic Cpx and albite as is typically observed in many eclogites worldwide (e.g., Vernon, 2004). The reaction front of the symplectite is typically concaved inward toward the omphacite. The fibrous structure of the symplectite diverges out against the curved front boundary so that the symplectite fibers are nearly normal to the reaction front, giving an internal structure of symplectite resembling a ‘cauliflower’. The same texture but of different mineralogies can be found in a standard textbook of petrography (Nockolds et al., 1978) as reproduced in Fig. 9d. It is interesting to note that despite of the (morphological) curvature of the fibrous crystals of pyroxene and plagioclase they all show the same extinction angles respectively indicating that the crystal lattice did not change in orientation during the growth of the fibrous crystals as in the case of spinels in the kelyphites. This invariance of crystal lattice orientation during the crystal growth despite of their morphological curvature, within a single body of symplectite, is also held for the spinel strings in the kelyphite in peridotites, as verified by means of EBSD analysis. Such constancy of crystal lattice orientation may be said to be another common and universal feature of the kelyphite and symplectite.
\n\t\t\t\tIn terms of bulk chemistry, since diopside and albite cannot make the omphacite composition it is apparent that the symplectite forming reaction is not isochemical and involved significant material transfer with surroundings. A possible expression for the reaction would be:
\n\t\t\t\tor
\n\t\t\t\t, where SiO2 represent a mobile component. Note that this reaction is also volume-increase.
\n\t\t\tA tendency that the spinel fibrous structure is normal or perpendicular to the garnet grain boundary has previously been mentioned by many authors for many rock types (e.g., Godard & Martin, 2000; Dégi et al. 2010). The same tendency is observed for symplectites after omphacite as mentioned above. It is so outstanding a tendency and appears to be universal that I decided to express it as a natural law — the ‘law of normality’. It may be expressed in the following two ways (Fig. 11):
\n\t\t\t\n\t\t\t\t\t\t
\n\t\t\t\t\t\t
Physically sound understanding of the origin of the law and the structural incoherencies (i.e., unconformities) as observed above must be founded on considerations on the reaction processes and the mechanism as discussed below. It should be remembered that the normality must have been held all the time during the breakdown processes of garnet, perhaps except at its earliest stages. Far from the garnet, the lineation is not necessarily normal to the present grain boundary. This means that the growth direction of the spinel lamellae has changed as crystals grew and that the reaction front has rotated accordingly so that the orthogonal relationship between the spinel lineation and the instantaneous reaction front that kept moving was always held (Fig. 12). The law of normality, however, does not apply to the initial garnet grain boundary, i. e., the boundary between the fine-grained kelyphite and the COR, to which the spinel lineation is typically oblique (Fig. 1, Fig. 3a,\n\t\t\t\tFig. 5a).
\n\t\t\tIllustrations of the law of normality.
A conceptual line drawing that shows how an ‘unconformity’ develops during kelyphite growth. Dashed lines labelled 1 to 4 represent imaginary isochronous garnet grain boundaries at different time slices in the past. The unconformity starts to form at a critical point CP and continues to a cusp on the
The power of the ‘law of normality’ proposed above may be demonstrated in an application of an attempt of tracing back the breakdown history of a single grain of garnet. Fig. 13a is a photomicrograph of a kelyphite that had completely replaced garnet, with highlighting the lineations and the ‘unconformities’ by line drawings. Being guided by the law of normality we can draw series of closed circuits that satisfy the law of normality as in Fig. 13b. Starting from an arbitrarily chosen point in the kelyphite region (P in Fig. 13b), we may draw a closed circuit being guided by the law of normality, in such a way that the curve is orthogonal everywhere to the spinel lineation. Inflections must occur at each intersection with the ‘unconformities’ because of the discontinuous change of the lineation across the boundaries. Such a circuit represents an isochronous grain boundary of garnet at that instance; infinite numbers of such circuits may be drawn in much the same way as shown in Fig. 13b. The situation may be analogous to the geometrical relationship between the force (vector) field and its conjugate potential field, that consists of a set of equipotential surfaces, in continuum physics such as electromagnetic theory or fluid dynamics. Interestingly, the line density (or the spacing) of the circuits varies significantly according to the directions of the surfaces even along the same isochronous circuit: densely-spaced means a slower rate of growth (of kelyphite) than in a sparsely-spaced direction. Such apparent directional dispersion of the reaction rate becomes only visible by applying the law of normality, which raises an interesting question as to what controls the growth rate of the kelyphite. Certainly it cannot be ambient conditions such as temperature or lithostatic pressure. Local variations in the activity of H2O or in the deviatoric stress as mentioned below are other candidates to be further considered.
\n\t\t\t\tPlane-polarized light photomicrograph (a) and corresponding line drawing (b) showing kelyphite domains and lineations used to reconstruct former (isochronous) garnet grain-boundaries by applying the law of normality. Width of the view (a) is 3 mm. Sample from a garnet peridotite, Plešovice, Czech Republic
Let us consider now the mechanism of reactions for the case of kelyphite of the first type (i.e., in the peridotitic system). It is well known that reaction (1) may take place upon decompression from the garnet peridotite stability field to the spinel peridotite stability field. Such expressions of reaction, however, does not explain the arrangement of minerals or mineral zones as observed in the kelyphite and, therefore, tells little about how reaction proceeds, i. e., the mechanism of reactions. Texturally the kelyphite zone appears to represent a replacement of original phase garnet; while the Opx rim (COR) in inferred to be after olivine. On such observational basis, we may envisage a reaction scheme as depicted in Fig. 14. Thus, reaction (1) may be written being splitted into the following two metasomatic reactions:
\n\t\t\t, where α and β represents hypothetical mobile components or groups of components that may be produced or consumed at the reaction fronts in the discontinuous reactions. Reaction (13) occurs defining a reaction front against garnet (FR1 in Fig. 14); while reaction (14) occurs defining another reaction front against olivine (RF2,
One-dimensional growth model of kelyphite between garnet and olivine. RF1 and RF2 are reaction fronts on the garnet and olivine side, respectively. Px, pyroxenes (Opx and Cpx, not differentiated)
A model reaction correspond to reaction (1) in the MgO–Al2O3–SiO2 system would be again:
\n\t\t\t\twhere x–the Al content of Opx–is determined by pressure and temperature condition of equilibrium (e.g., Wood & Banno, 1973). Accordingly, Ca-free versions of reactions (3) and (4), respectively, may be written, using the oxygen-fixed reference frame, as:
\n\t\t\t\tand
\n\t\t\t\tNote that number of oxygen is conserved in solid phases for both reactions. A linear combination of reactions (15) and (16) yields a net reaction (5’) making a system closed. Note that reactions (5’) and (15) are all volume-increase ones (for x=0,
A physical picture of the reaction is then drawn as follows: garnet reacts at the reaction front with Mg2+ being supplied from the olivine side, with pyroxnene and spinel precipitating, replacing Si4+, which is instantaneously removed from this site and transferred toward the olivine side (Fig. 14). The olivine on the other hand is being replaced by Opx reacting with Si4+ and releasing Mg2+. The boundary between the kelyphite and COR represents the original garnet–olivine grain boundary. At reaction front RF1, garnet is constantly replaced with the intergrowth of pyroxene and spinel (i.e., kelyphite) and hence segregation occurs and material must be reorganized by a short-range material transfer along the garnet grain boundary in the tangential directions (Fig. 14). The scale of the intergrowth (or the spacing of the spinel lamellae) must be governed by the element mobility or diffusivity along the garnet grain boundaries relative to the (one-dimensional) migration rate of the reaction front, i.e., the growth rate of the kelyphite. At higher temperatures, the diffusion would become faster because diffusivity increases exponentially with temperature and thus coarser-grained kelyphites (or symplectites) would result. It is emphasized that discontinuous reactions occur only at the reaction fronts, RF1 and RF2 in this model, and the produced kelyphite zone works only as a medium for diffusional transport of elements. A dominant mechanism of this long-range axial material transfer is, as mentioned above, would be the grain boundary diffusion. Diffusion agent is not clear but if water or fluid is present along the grain boundaries, even in a trace amount, the diffusion would be greatly facilitated. Local variation in the extent of the kelyphitization of garnet as frequently observed in nature suggests that a fluid is taking a critical role in governing the rate of kelyphitization reactions.
\n\t\t\t\tIt should be noted that, in reaction (15), Al is conserved as well as oxygen is and, therefore, no loss or gain of Al results. Mass balance analysis using actual analyses of garnets and bulk compositions of natural kelyphites, however, suggest that a significant loss of Al occurred from garnets upon the breakdown reactions, which means a flux of Al away from the reaction front of garnet side (RF1) (see Appendix 2; Obata & Spengler, in preparation); this inconsistency may be reconciled by considering the growth of the nodular spinel as a sink of Al, as discussed below.
\n\t\t\tThe lineation structure normal to the reaction front (on the garnet side) would be a favorable one considering the efficiency of material transfer by grain-boundary diffusion. But such consideration is not enough to account for the origin of the ‘law of normality’. More tight, some sort of physical constrains must be operative to control the orientation of the crystal growth. I envisage, for the origin of such hypothetical strong controlling force, the excess stress that may be generated at the reaction front. The discontinuous reaction such as reaction (15) is volume-increase. Remember that the kelyphite is a solid material consisting of pyroxene–spinel symplectites armoring the garnet as a ‘shell’. Free volume increase is therefore not possible inside the kelyphite shell (Fig. 15). Rather, the volume may be kept constant through the transformation reactions, for which some material must flow out of the system.
\n\t\t\tSchematic illustration showing the inward growth of a kelyphite shell and the outward growth of COR
One possibility to meet the volume constant requirement is, considering the presence of the nodular spinel at the kelyphite–COR boundary, to split the spinel in reaction (15) into two parts as such:
\n\t\t\t, where
Sketch that illustrates the volume change associated with the kelyphitization of garnet. The diameter of the kelyphite shell remains constant during shrinkage of garnet and growth of nodular spinel and COR. Volume V1 that includes surrounding olivine expands by consuming peripheral olivine to another volume V2, (V2> V1) in which the total mass included is conserved (closed system). Scales exaggerated and not proportional
In the light of the above view, it is conceivable that the reaction front on the garnet side (RF1) is constantly be subjected to a considerable stress during the growth of kelyphite, which may contribute in part to the driving force of outward flow of material. Because the surface area of the reaction front is virtually constant for a small increment of the reaction progress, the generated internal stress should be compressional tangentially to the reaction front surface, i.e., maximum principal normal stress being tangential. It is well known that bulk elastic modulus of lamellar structure that consists of materials of different elastic moduli is minimum in the normal direction of the lamination, therefore, elastic potential near the reaction front region is minimized for the normal configuration, proving that this is mechanically the most stable geometry. I, therefore, interpret that such non-hydrostatic stress being generated constantly on the moving reaction front is the main force that controls and guide the growth direction of the kelyphite lamellar structure. I should like to emphasize here that the Cpx patches enclosed in the kelyphite-Opx are not necessarily elongated like spinels and hence does not appear to obey the law of normality. The contrast of the elastic moduli between Opx and Cpx is much less than that between pyroxene and spinel (Anderson et al., 1968), and therefore morphology of the Cpx patches should be less sensitive to the stress field than for the spinel lamellae. Such considerations on a morphological contrast between the pyroxene and spinel substantiate the author’s hypothesis for the origin of the law of normality.
\n\t\t\tThe law of normality may be realized in any other reaction system, in which volume increase is involved. Examples include symplectite after omphacite as mentioned above, or even, myrmekite, a symplectite intergrowth of quartz and plagioclase replacing K–feldspar, typically developed in granitic systems (Fig. 9d).
\n\t\t\tSecondary electron micrograph of low-alloy steel partially transformed to pearlite at 700°C for 15 minutes and then quenched. Finer-scaled pearlite near the transformation front was probably created by a rapid growth during the quenching. Note oblique angle of the pearlite structure to the transformation front. From Darken and Fisher (1962) Figure 2, used with permission
\n\t\t\tSimilar textures as symplectites has been known in metallurgy and are well studied for industrial purposes (Darken & Fisher, 1962; Chadwick, 1972). A typical texture of pearlite — a eutectoidal texture of steel. Such texture may be artificially produced by cooling a Fe–C alloy, austenite, which may decompose into two phases of different compositions, ferrite and cementite, by an eutectoidal reactions. The produced lamellae are typically straight and the spacing may be artificially controlled by changing the cooling rate. This is an important industrial technique to control the microstructure and thereby adjusting the mechanical strength of the steel. Note that the lamella structure is oblique to the reaction front in this case so that the law of normality does not appear to be held here. The transformation is temperature-induced for the alloy and not decompression-induced like kelyphite in rocks, which implies that the enthalpy change is more important than the volume change for the transformation reaction for the steel (Hillert, 1962). If volume change is not significant, internal stress will not be significant either. The absence of the normality in steel, therefore, supports the author’s hypothesis for the role of internal stress to account for the origin of the normality for volume-increase transformation reactions.
\n\t\t\tSumming up the knowledge and considerations above we may now draw a new and dynamic picture of the formation and growth of the kelyphite, of the first type.
\n\t\t\tIt was pointed out above that each ‘cell’ of kelyphite may be regarded to represent a growth unit of a kelyphite. A body of kelyphite typically consists of many ‘cells’, and for this reason, it may be viewed as a ‘colony’ (Fig. 18) in the sense that it represents a macroscopic growing unit of organism. In three dimensions, these cells will be tubular in shape and gather forming a honeycomb-like structure as a colony. Different from typical colonies of livings like corals, however, this colony grows inward consuming garnet inside. The cell has its internal structure and functions. The base (or the matrix) of the cell is an Opx single crystal throughout; the cell is composed of two parts:
\n\t\t\t\tfined-grained fibrous part (i.e., kelyphite,
a clear part, COR, that is free of spinel fibers (Fig. 18).
Nodular spinels may or may not reside at or around the junction of the two parts (a) and (b). The tubular cell has a distinct polarity in such a way that part (a) grows inward ‘eating’ garnet on one end, while part (b) grows outward ‘eating’ olivine. The growth of the cell is accompanied with the intra-cellular flow of material along the axial direction of the tubules. Important flow from (b) to (a), i.e., from the olivine side toward the garnet, is Mg2+; while important counter flows are Al3+ and Si4+. Part of the Al3+ however may be consumed at or near the junction of the two parts for the growth of the nodular spinel. The mechanism of such intra-cellular migration of material is probably the grain boundary diffusion along the surfaces of the spinel fibers. Continuation of spinel fibers along the length of the cell is therefore a necessary geometry. As mentioned above, the stress built up during the growth of kelyphite will increase the elastic potential energy of the kelyphite and may hold back and eventually stop the reaction. This increase of internal energy can be adjusted by a material flowing out of the kelyphite shell and by the volume expansion in part (b), which is allowed by plastic deformations of COR and the outer olivine matrix. It is conceivable, therefore, that the growth of the kelyphite ‘colony’ as a whole is controlled by the rate of stress release via plastic deformation of the surroundings which is manifested in ductile flow of rocks in a macroscopic scale. It is noted that some tubular cells may shrink and eventually extinct as the colony grows inward (Fig. 18) – a process known as the geometrical selection (Grigoriev, 1965).
\n\t\t\t\tConceptual pictures of a kelyphite ‘colony’ composed of several tubular cells (left) and of the internal structure of a ‘cell’ and its functions (right). Red spots on the left figure indicate where nucleation of the cell occurred
We have concerned so far a steady growth of the cell and a colony. The crystal of Opx containing fibrous spinels grow basically in two directions starting from its original site of birth probably at the junction of the two parts (i.e., the original grain boundary between garnet and olivine) as indicated with red points in Fig. 18. The growth of the nodular spinel is the extension of the growth of the fibrous spinels at their ends. The formation the Cpx patches is the only exception. The Cpx patches are discrete and are not likely to be connected to each other. So nucleation of Cpx occurs sporadically and intermittently but at the reaction front during the growth of the cell. The nucleation of the Opx and spinel, however, is considered to have occurred just once, at the birth of the cell, which is defined as the ‘nucleation’ of the cell. The topotaxic relationship between the spinel and Opx must therefore be established at their nucleation stage and the original nature of the topotaxy is simply inherited during the subsequent growth of the cell.
\n\t\t\t\tI then draw a detailed picture of the ‘cell nucleation’ for the kelyphite in garnet peridotites, and present a hypothesis how the topotaxic relationship may be acquired according to the scenario presented in Obata & Ozawa (2011). Suppose a kelyphite starts to grow upon decompression of mantle rocks within the stability field of spinel peridotite. The kelyphitization starts at original grain boundaries between garnet and olivine by reaction (1). It is unlikely, however, that all the product phases, Opx, Cpx and spinel, nucleate together exactly at the same time. Considering the Opx domain structure, it is inferred that Opx is the first phase to nucleate and that each Opx domain grows from a single nucleus of Opx (Fig. 19). The nucleation and growth of Opx out of garnet will induce subsequent nucleation of spinel in a similar manner like eutectoidal because the Opx cannot take all the Al from the garnet (e.g. Putnis, 1992). Different from eutectoidal, however, the formation of spinel requires olivine to participate by reaction (1). Necessary material for the spinel nucleation (by reaction (15)) must be created by the conversion of olivine to Opx (COR) by reaction (16) and supplied to the site through the transfer of Mg2+ and Si4+. Because the COR-Opx grows from the common nuclei of Opx, it is natural that they are continuous and share the same crystallographic orientation forming even a larger domain of single crystal of Opx (Fig. 19). Because the spinel nucleation most likely occurs on the surface of Opx (because of the presumed large activation energy for the nucleation due to high surface energy, i.e. heterogeneous nucleation, it is likely that the crystallographic orientation of spinel will be dictated by that of Opx, resulting in a topotaxic relationship between the two phases. The activation energy for the nucleation of such spinel is considered to be very high because of the coupled nature of the reactions via element diffusional exchange between the two sites. Once nucleation occurred, the Opx-spinel assembly simply grows eutectoidally, replacing garnet, maintaining the topotaxic relationship initially established at the nucleation site. The lack of topotaxic relationship as observed in lower temperature samples such as the Norwegian ones (Obata & Ozawa, 2011) suggests that the initial establishment of such topotaxic relationship may fail in nature in some circumstances.
\n\t\t\t\tSchemitic picture illustrating nucleation and subsequent eutectoidal growth of a kelyphite cell. (1) Opx initially nucleates at the original grain boundary (at point ‘a’) and starts to grow toward garnet; (2) spinel nucleates at a three-phase junction: Grt-Opx-Ol (at point ‘b’), consuming garnet and converting olivine to Opx (incipient COR); (3) spinel drawn on the other side of Opx is meant to be a continuation of the first nuclei; (4) the second and more nucleation of spinel may occur at separate spots on the original grain boundary (at point ‘c’); (5) the composite cell keeps growing by the eutectoidal processes. Spinels of different tones of blue color are meant to be derivatives from different nuclei
The number of nuclei formed at the transformation may be related with the nucleation rate (i.e., the number of nuclei generated per unit time), which must be a function of the degree of supersaturation (i.e., overstepping the equilibrium). This is schematically illustrated in Fig. 20. Theoretically, nucleation rate should be zero at equilibrium where the driving force of the reaction is zero and should increase with the degree of supersaturation. The pyroxene–spinel symplectite of the Horoman peridotite, which typically consists of single domain of Opx, is therefore considered to be a special case of kelyphite, where nucleation rate is so low that only one nucleus was formed for each grain of garnet. Because of the relatively high-temperature environment of the Horoman peridotite (>950°C, Ozawa & Takahashi, 1995; Ozawa, 2004), the reaction probably took place near the garnet-spinel transition boundary, without much delay and, therefore, with a minimum degree of supersaturation. Grain size (or spacing of the spinel and pyroxene lamellae) is probably mostly governed as mentioned above by diffusion of cations along the reaction front (i.e., garnet grain boundary), which is normal to the lamellae structure. At higher temperatures elements diffuse faster and hence coarser-grained symplectite would result. The decreasing order of the spatial scale of symplectite (or kelyphite) is, Horoman, Czech (Mohelno), and then Norway, which accords with the descending order of the inferred transformation temperatures (Obata & Ozawa, 2011).
\n\t\t\t\tA schematic picture illustrating in a
In the Czech (Mohelno) sample, the same topotaxic relationship as in the Horoman sample is held for all cell nuclei at the nucleation stage; while in the Norwegian sample, probably because of the substantially low-temperature of transformation (740–760°C, Obata & Ozawa, 2011), and hence because of the slower diffusion kinetics, the nucleation must have been delayed, and therefore, the degree of supersaturation must have become substantially large. Under such high degrees of supersaturation, when nucleation occurred, it is so rapid that many spinel nuclei will fail to gain topotaxic relationships with their host pyroxenes. The observed subdomain structure of spinel in the Norwegian kelyphite (Opx) cell (Fig. 8b) indicates that multiple nucleation of spinel probably occurred in a single growing cell of Opx (Fig. 19).
\n\t\t\t\tIt is emphasized here that the internal structure of the cell is being created only at the reaction front and is instantaneously fixed behind as the reaction front sweeps away, except for the growth of nodular spinels. This is analogous to an ‘ink-jet printer’ which prints papers only at a printer head. Formation of Cpx patches also occur only at the reaction front (though not shown in Fig. 19). These Cpx seem to always gain topotaxic relationships with the host Opx at every time of their nucleation. However, if the rocks are kept at high-enough temperatures for a long time, coarsening may occur in the kelyphites as observed in the pyroxene–spinel symplectite of Horoman peridotite (Obata et al., 2007). Coarse vermicular intergrowth of pyroxene and spinel as observed in some spinel peridotite xenoliths (Marcier & Nicolas, 1975; Smith, 1977) may be an end product of such recrystallization processes at high temperatures (Godard & Martin, 2000). Such a scheme presented above may open up a new way of studying and understanding the variability of textures and the topotaxic relationships in relation with the geodynamic environments of the host rocks.
\n\t\t\tImportant conclusions drawn from the study of kelyphite of the first type may be summarized as follows:
\n\t\t\tA body of kelyphite may be regarded as a ‘colony’ composed of multiple tubular ‘cells’. Each cell has its particular internal structure and functions, of growing in the expense of garnet on one end and in the expense of olivine on the other via the intra-cellular flow of material. The internal structure of the cell is created at the reaction front and is basically fixed behind the front except the growth of nodular spinels.
The law of normality is proposed for the spinel lineation and it was suggested that the normality is originated by the non-hydrostatic stress that is supposed to be generated at the reaction front by the volume increase reaction.
Topotaxic relationship may or may not be acquired at the stage of nucleation of the cells and the nature of the topotaxy is inherited during the subsequent growth of the cells.
The degree of perfections of topotaxy appears to be related with the temperature of transformation, which may further be related with geodynamic environments such as
It was shown that different varieties of kelyphites and symplectites, of minerlogically and chemically different systems, may be interrelated through a mathematical operation called substitution and transformation, being guided by the ‘correspondence principle’; such method may open up a new way of understanding natural diversities of metamorphic reaction textures in a more unified way.
\n\t\t\n\t\t\t\t\t\t | formula | \n\t\t\t\t\t\tgram f.w. | \n\t\t\t\t\t\tmolar volume | \n\t\t\t\t\t
\n\t\t\t\t\t\t | \n\t\t\t\t\t\t | gr | \n\t\t\t\t\t\tcm3\n\t\t\t\t\t\t | \n\t\t\t\t\t
Enstatite | \n\t\t\t\t\t\tMgSiO3\n\t\t\t\t\t\t | \n\t\t\t\t\t\t100.41 | \n\t\t\t\t\t\t31.47 | \n\t\t\t\t\t
Spinel | \n\t\t\t\t\t\tMgAl2O4\n\t\t\t\t\t\t | \n\t\t\t\t\t\t142.28 | \n\t\t\t\t\t\t39.72 | \n\t\t\t\t\t
Forsterite | \n\t\t\t\t\t\tMg2SiO4\n\t\t\t\t\t\t | \n\t\t\t\t\t\t140.73 | \n\t\t\t\t\t\t43.67 | \n\t\t\t\t\t
Pyrope | \n\t\t\t\t\t\tMg3Al2Si3O12\n\t\t\t\t\t\t | \n\t\t\t\t\t\t403.19 | \n\t\t\t\t\t\t113.3 | \n\t\t\t\t\t
\n\t\t\t\t\t\t | \n\t\t\t\t\t\t | (1) | \n\t\t\t\t\t\t\n\t\t\t\t\t\t | (2) | \n\t\t\t\t\t\t\n\t\t\t\t\t\t | (3) | \n\t\t\t\t\t\t\n\t\t\t\t\t\t | (4) | \n\t\t\t\t\t||||
\n\t\t\t\t\t\t | \n\t\t\t\t\t\t | Grt | \n\t\t\t\t\t\tKely | \n\t\t\t\t\t\t\n\t\t\t\t\t\t | Grt**\n\t\t\t\t\t\t | \n\t\t\t\t\t\tKely**\n\t\t\t\t\t\t | \n\t\t\t\t\t\t\n\t\t\t\t\t\t | Grt | \n\t\t\t\t\t\tKely | \n\t\t\t\t\t\t\n\t\t\t\t\t\t | Grt | \n\t\t\t\t\t\tKely | \n\t\t\t\t\t
SiO2\n\t\t\t\t\t\t | \n\t\t\t\t\t\t\n\t\t\t\t\t\t | 42.8 | \n\t\t\t\t\t\t41.4 | \n\t\t\t\t\t\t\n\t\t\t\t\t\t | 42.1 | \n\t\t\t\t\t\t37.6 | \n\t\t\t\t\t\t\n\t\t\t\t\t\t | 42.4 | \n\t\t\t\t\t\t39.9 | \n\t\t\t\t\t\t\n\t\t\t\t\t\t | 41.5 | \n\t\t\t\t\t\t41.3 | \n\t\t\t\t\t
TiO2\n\t\t\t\t\t\t | \n\t\t\t\t\t\t\n\t\t\t\t\t\t | 0.0 | \n\t\t\t\t\t\t0.0 | \n\t\t\t\t\t\t\n\t\t\t\t\t\t | 0.7 | \n\t\t\t\t\t\t0.6 | \n\t\t\t\t\t\t\n\t\t\t\t\t\t | 0.1 | \n\t\t\t\t\t\t0.0 | \n\t\t\t\t\t\t\n\t\t\t\t\t\t | 0.1 | \n\t\t\t\t\t\t0.0 | \n\t\t\t\t\t
Al2O3\n\t\t\t\t\t\t | \n\t\t\t\t\t\t21.1 | \n\t\t\t\t\t\t18.4 | \n\t\t\t\t\t\t\n\t\t\t\t\t\t | 21.5 | \n\t\t\t\t\t\t17.8 | \n\t\t\t\t\t\t\n\t\t\t\t\t\t | 23.1 | \n\t\t\t\t\t\t20.7 | \n\t\t\t\t\t\t\n\t\t\t\t\t\t | 23.6 | \n\t\t\t\t\t\t21.1 | \n\t\t\t\t\t|
Cr2O3\n\t\t\t\t\t\t | \n\t\t\t\t\t\t4.0 | \n\t\t\t\t\t\t2.6 | \n\t\t\t\t\t\t\n\t\t\t\t\t\t | 1.7 | \n\t\t\t\t\t\t1.7 | \n\t\t\t\t\t\t\n\t\t\t\t\t\t | 1.3 | \n\t\t\t\t\t\t1.3 | \n\t\t\t\t\t\t\n\t\t\t\t\t\t | 1.0 | \n\t\t\t\t\t\t1.1 | \n\t\t\t\t\t|
FeO* | \n\t\t\t\t\t\t\n\t\t\t\t\t\t | 8.2 | \n\t\t\t\t\t\t6.0 | \n\t\t\t\t\t\t\n\t\t\t\t\t\t | 8.5 | \n\t\t\t\t\t\t9.0 | \n\t\t\t\t\t\t\n\t\t\t\t\t\t | 9.3 | \n\t\t\t\t\t\t7.4 | \n\t\t\t\t\t\t\n\t\t\t\t\t\t | 11.0 | \n\t\t\t\t\t\t7.2 | \n\t\t\t\t\t
MnO | \n\t\t\t\t\t\t\n\t\t\t\t\t\t | 0.4 | \n\t\t\t\t\t\t0.2 | \n\t\t\t\t\t\t\n\t\t\t\t\t\t | 0.3 | \n\t\t\t\t\t\t0.2 | \n\t\t\t\t\t\t\n\t\t\t\t\t\t | 0.4 | \n\t\t\t\t\t\t0.1 | \n\t\t\t\t\t\t\n\t\t\t\t\t\t | 0.6 | \n\t\t\t\t\t\t0.2 | \n\t\t\t\t\t
MgO | \n\t\t\t\t\t\t\n\t\t\t\t\t\t | 20.7 | \n\t\t\t\t\t\t29.0 | \n\t\t\t\t\t\t\n\t\t\t\t\t\t | 20.7 | \n\t\t\t\t\t\t28.2 | \n\t\t\t\t\t\t\n\t\t\t\t\t\t | 19.1 | \n\t\t\t\t\t\t27.0 | \n\t\t\t\t\t\t\n\t\t\t\t\t\t | 18.1 | \n\t\t\t\t\t\t26.7 | \n\t\t\t\t\t
NiO | \n\t\t\t\t\t\t\n\t\t\t\t\t\t | 0.0 | \n\t\t\t\t\t\t0.1 | \n\t\t\t\t\t\t\n\t\t\t\t\t\t | n.d. | \n\t\t\t\t\t\tn.d. | \n\t\t\t\t\t\t\n\t\t\t\t\t\t | 0.0 | \n\t\t\t\t\t\t0.0 | \n\t\t\t\t\t\t\n\t\t\t\t\t\t | 0.0 | \n\t\t\t\t\t\t0.0 | \n\t\t\t\t\t
CaO | \n\t\t\t\t\t\t\n\t\t\t\t\t\t | 3.7 | \n\t\t\t\t\t\t3.5 | \n\t\t\t\t\t\t\n\t\t\t\t\t\t | 4.3 | \n\t\t\t\t\t\t4.0 | \n\t\t\t\t\t\t\n\t\t\t\t\t\t | 5.7 | \n\t\t\t\t\t\t2.6 | \n\t\t\t\t\t\t\n\t\t\t\t\t\t | 5.2 | \n\t\t\t\t\t\t3.0 | \n\t\t\t\t\t
Na2O | \n\t\t\t\t\t\t\n\t\t\t\t\t\t | 0.0 | \n\t\t\t\t\t\t0.0 | \n\t\t\t\t\t\t\n\t\t\t\t\t\t | n.d. | \n\t\t\t\t\t\tn.d. | \n\t\t\t\t\t\t\n\t\t\t\t\t\t | 0.0 | \n\t\t\t\t\t\t0.1 | \n\t\t\t\t\t\t\n\t\t\t\t\t\t | 0.0 | \n\t\t\t\t\t\t0.3 | \n\t\t\t\t\t
Total | \n\t\t\t\t\t\t\n\t\t\t\t\t\t | 100.9 | \n\t\t\t\t\t\t101.1 | \n\t\t\t\t\t\t\n\t\t\t\t\t\t | 100.0 | \n\t\t\t\t\t\t99.1 | \n\t\t\t\t\t\t\n\t\t\t\t\t\t | 101.4 | \n\t\t\t\t\t\t99.0 | \n\t\t\t\t\t\t\n\t\t\t\t\t\t | 100.9 | \n\t\t\t\t\t\t100.9 | \n\t\t\t\t\t
art, garnet; Kely, kelyphite. ** obtained by wet chemical analyses; other analyses of kelyphites obtained by calculation from modal analysis and microprobe analyses of minerals.FeO* total Fe as FeO; n.d., not determined.(1) Ugelvik, Norway, Obata and Spengler, unpublished; (2) Sklené, Czech Bohemia, Fiala (1966); (3), (4) Ultental, Italy, Godard & Martin (2000).Note a significant decrease in Al2O3 and increase in MgO in the kelyphitizaion of garnet in all examples.
I would like to thank Dr. Kazuhito Ozawa for his collaboration throughout the project but am solely responsible for possible errors in the interpretations if any. I also thank Dirk Spengler, Kosuke Naemura, and Dr. Y. Osanai and Dr. K. Hiroi for their providing valuable samples. I thank Dr. H. Nagahara (Univ. Tokyo) for her permission of the use of FE-SEM and EBSD at Univ. Tokyo and Dr. H. Yoshida and Mr. H. Tsutsumi for their technical assistance, and to Dr. T. Morishita and Ryoko Nagashima (both Kanazawa Univ.), A. Toramaru, T. Nishiyama, I. Shimizu for their discussions at various stages of the research. Thanks are extended to K. Naemura, T. Ueda and D. Spengler who proof-read the manuscript and giving me valuable comments. I am grateful to Ms. A. Pantar for her invitation for the volume and to Prof. E.V. Sharkov for his editorial works. I would also like to thank Springer-Verlag Wien for letting me use Fig. 1 b, Fig. 3b and Fig. 4c, d (with some modifications) used in my recently published article in Mineralogy and Petrology.
\n\t\tThe canine elbow joint is a complex joint, whose musculoskeletal anatomy is well investigated. However, the in vivo function of the elbow joint, the individual movement of the humerus, radius and ulna relative to each other and the load distribution within the joint is still subject of present and future research. Especially pathophysiological motion of the elbow joint, leading to a mechanical overload of certain joint compartments, is not well understood and an interesting field of present veterinary research. Canine developmental elbow disease (DED), in particular medial coronoid disease (MCD), is one of the most common reasons for forelimb lameness in the dog and therefore this topic has not only academic, but also clinical relevance.
The canine elbow joint is composed of the humerus proximally and the radius and ulna distally, and can be divided into three joint compartments: the humero-ulnar, humero-radial and proximal radio-ulnar joint [1, 2]. The humero-ulnar joint is formed by the humeral trochlea and intercondylar region of the condyle and the ulnar trochlear notch, which extends from the anconeal process to the radial incisure, and continues to the medial coronoid process of the ulna. The humero-radial joint is formed by the capitulum of the humeral condyle and the radial head. The radial incisure and the medial aspect of the radial head form the proximal radio-ulnar joint. Altogether the elbow joint acts as a hinge joint (ginglymus) with extension and flexion being the main motion pattern and some amount of pronation and supination, mainly taken over by the radio-ulnar joint [1].
In healthy canine elbows the radio-ulnar joint shows a congruent shape without any step formation between the ulnar and radial joint surface, at least under static conditions. However, the humero-ulnar joint is not perfectly congruent even in healthy dogs [3, 4, 5, 6]. The radii of curvature of the humeral condyle and ulnar trochlear notch show different values along their curvilinear course, resulting in reduced contact in the central notch region [3, 4, 5, 6, 7]. The trochlear notch shows a slightly elliptical shape, so that the anconeal process and distal aspect of the notch as well as the coronoid process are in contact with the humeral condyle. This kind of physiological humero-ulnar incongruence was first described in humans and could be detected in the canine elbow joint, too [4, 5, 6, 8, 9].
The maximum range of motion (ROM) varies between 110 to 150 degrees, with breed-specific maximum flexion of 25 to 49 degrees and maximum extension of 155 to 175 degrees [10, 11, 12, 13, 14]. The main extensor muscle of the elbow joint is the triceps brachii muscle [1]. Further this muscle prevents flexion of the elbow during the stance phase. The anconeal and tensor fasciae antebrachii muscles are additional extensors of the elbow joint. Flexion is performed by the biceps brachii and brachial muscles. The extensor carpi radialis muscle contributes to flexor function to some amount. The canine antebrachium can be pronated 17 to 50 degrees and supinated 31 to 70 degrees [10, 15]. The supinator and brachioradial muscles are responsible for supination of the antebrachium. The latter contributes only minimal to supination and is missing in some individuals [16]. The pronator teres and pronator quadratus muscles are responsible for pronation and the pronator teres muscle is supposed to contribute to elbow joint flexion as well [1, 2].
Four ligaments support the elbow joint: the medial and lateral collateral ligament, the annular ligament and interosseous ligament/interosseous membrane [1, 2]. The medial and lateral collateral ligaments origin from the medial and lateral humeral epicondyle. The medial collateral divides into two crura. The cranial one is weaker and attaches at the radius, while the stronger caudal one attaches mainly at the ulna and to some amount at the radius. The lateral collateral ligament consists of two crura as well. The cranial part attaches to the radius, and the caudal part attaches to the ulna and colligates with the annular ligament, which can contain a sesamoid bone [2]. The annular ligament runs transversely around the radial head spanning from the lateral to the medial aspect of the radial incisure of the ulna. It runs underneath the medial and lateral collateral ligaments. The radius and ulna are further attached to each other by the interosseous ligament and interosseous membrane, which spans the interosseous space. Distally the radius and ulna are connected to each other by the radioulnar ligament.
Kinematics describe the motion of body segments without measuring the forces acting onto that segments. Kinematic analysis allows evaluation of the range of motion, angular velocities, segmental velocities of each portion of the limb, stride frequency and stride length [17]. Depending on the technique used for the kinematic analysis, motion of bones and joints can be measured with a submillimeter accuracy [18, 19, 20].
Generally two forms of kinematic analysis can be differentiated: the video-kinematography, based on a video motion capture system, and the radiostereometric kinematic analysis (RSA), based on a radiographic system, coupled with high speed video cameras. Video motion capture kinematic systems use skin markers, attached to specific body areas, which are tracked in the generated videos of the moving animal and allow for calculation of the aforementioned parameters. Radiostereometric analysis can be marker based or performed without bone markers [21, 22, 23, 24, 25, 26, 27, 28, 29, 30]. Furthermore, both kinematic analysis systems can be used to evaluate motion in the two or three dimensional (2D, 3D) space, depending on the technical setup [17].
The most commonly used technique is a video motion capture system based analysis. This technique is non-invasive and allows for evaluation of overall limb, limb segment or body segment motion. However, skin mounted markers do not match exactly the movement of the underlying bones. Movement of the soft tissues results in skin motion artifacts [21, 28, 31, 32, 33, 34, 35], with a difference of 0.4 to 1.2 cm between the skin marker and respective underlying bony landmark in small animals [33]. Especially in the proximal joints of the forelimb skin marker based data differ significantly from fluoroscopically gained kinematic data [28]. Comparison of biplanar fluoroscopy and video-kinematography in hindlimb kinematics revealed significant differences between both techniques, too [21]. Skin marker based data tend to project different trajectories and smaller amplitudes compared to fluoroscopic kinematography with particularly contradictory results, especially in proximal joints, where increased soft tissues can be found [21].
Radiostereometric analysis, also called fluoroscopic kinematography, allows for the most accurate kinematic data acquisition [19, 21, 22, 23, 24, 28, 30]. One or two fluoroscopic units, coupled with high speed video cameras, take x-ray movies of the moving object. Based on these x-ray movies bone movement can be calculated and transferred onto 3D bone models generated from CT scans of the individual animal. Bone motion analysis can be performed using implanted bone markers, which are tracked in one (uniplanar, 2D evaluation) or both (biplanar, 3D evaluation) x-ray movies and 3D coordinates of each marker are then transferred onto the 3D bone models. Alternatively, scientific rotoscoping or autoscoping techniques can be used to track bone movement and transfer this in vivo bone motion from the fluoroscopic images onto 3D bone models [18, 20, 36]. These techniques do not rely on bone markers, rather the shape and edges of each bone are used to project digitally reconstructed radiographs (DRR), generated from the CT scans of each bone, onto the respective bone in the fluoroscopic image. By that the 3D bone model is aligned and animated along the x-ray movies. Scientific rotoscoping is performed manually, while autoscoping is a completely computerized process. Both techniques can be described as morphology based methods of motion analysis. Marker based tacking is the gold standard of kinematic analysis with an accuracy of 0.1 mm and 0.1 degrees [20]. However, scientific rotoscoping and autoscoping show a high accuracy as well, with values ranging from 0.16 to 0.66 mm in translation and 0.43 to 2.78 degrees rotation for scientific rotoscoping and 0.07 to 1.13 mm translation and 0.01 to 3.0 degrees rotation for autoscoping [18, 37, 38, 39, 40, 41, 42]. Therefore, both techniques result in a highly precise evaluation of bone and joint motion with a substantially reduced invasiveness compared to a bone marker based analysis.
Multiple studies have investigated elbow joint kinematics in healthy dogs and dogs with different joint pathologies. Results have to be interpreted cautiously due to varying breeds, different technical setups and varying gaits and gait velocities, e.g. the walk or the trot, all of which influencing the kinematic pattern. Table 1 gives an overview of previous studies on canine forelimb and elbow joint kinematics.
Study | Technique | Breed | Number of dogs | Gait/Speed |
---|---|---|---|---|
DeCamp et al. [43] | 3D marker based video-kinematography, 2D evaluation (sagittal motion) | Greyhound | 8 | trot, 1.8–2.3 m/s (walkway) |
Allen et al. [44] | 3D marker based video-kinematography, 2D evaluation (sagittal motion) | Mixed breed dogs | 14 | trot, 1.8–2.3 m/s (overground) |
Hottinger et al. [45] | 3D marker based video-kinematography, 2D evaluation (sagittal motion) | Different large breed dogs | 15 | walk, 0.9–1.1. m/s (overground) |
Gillette and Zebas [46] | Uniplanar marker based video-kinematography, 2D evaluation (sagittal motion) | Labrador Retriever | 16 | trot, 2.8 m/s |
Nielsen et al. [47] | 3D marker based video-kinematography, 2D evaluation (sagittal motion), stance phase only | Mixed breed dogs | 6 | walk, 0.8–1.0 m/s (overground) |
Owen et al. [48] | Uniplanar marker based video-kinematography, 2D evaluation (sagittal motion) | Greyhound | 11 | trot, 2.2–2.4 m/s (treadmill) |
Clements et al. [49] | Uniplanar marker based video-kinematography, 2D evaluation (sagittal motion) | Labrador Retriever | 10 | trot, 2.0 m/s (treadmill) |
Feeney et al. [50] | Uniplanar marker based video-kinematography, 2D evaluation (sagittal motion) | Labrador Retriever | 10 | walk, velocity not documented (overground) |
Burton et al. [51] | 3D marker based video-kinematography, 2D evaluation (sagittal motion) | Different mid to large breed dogs | 7 (unilateral elbow disease) | trot, velocity not documented (treadmill) |
Holler et al. [52] | 3D marker based video-kinematography, 2D evaluation (sagittal motion) | Different mid to large breed dogs | 8 | walk, 0.89–1.1 m/s (treadmill, normal, uphill, downhill, obstacle) |
Agostinho et al. [53] | 3D marker based video-kinematography, 2D evaluation (sagittal motion) | Labrador Retriever Rottweiler | 20 (10 each) | trot, 2.1–2.2. m/s (treadmill) |
Guillou et al. [54] | 3D marker based fluoroscopic kinematography | Fox hound | 4 | walk & trot, velocity not documented |
Angle et al. [55] | Uniplanar marker based video-kinematography, 2D evaluation (sagittal motion) | Greyhound | 7 | Movement initiation up to 3.52 m/s (overground) |
Jarvis et al. [56] | 3D marker based video-kinematography, 2D evaluation (sagittal motion), stance phase only | Different breeds | 40 (24 healthy, 16 front limb amputee dogs) | trot, 2.2–2.6 m/s (walkway) |
Brady et al. [57] | 3D marker based video-kinematography, 2D evaluation (sagittal motion) | Different breeds | 16 | trot, 1.8 m/s & 2.5 m/s (walkway) |
Miqueleto et al. [58] | 3D marker based video-kinematography, 2D evaluation (sagittal motion) | German Shepherd | 20 (10 hip dysplasia, 10 healthy dogs) | trot, 2.1–2.2. m/s (treadmill) |
Galindo-Zamora et al. [59] | 3D marker based video-kinematography, 2D evaluation (sagittal motion) | Different mid to large breed dogs | 20 (unilateral elbow disease) | walk, 0.65–1.1 m/s (treadmill) |
Caron et al. [60] | 3D marker based video-kinematography, 3D evaluation | Labrador Retriever | 26 (13 healthy, 13 dogs with coronoid disease) | walk, 0.7 m/s (treadmill) |
Fischer & Lilje, [61] | 3D marker based video- & fluoroscopic kinematography, 2D evaluation (sagittal motion) | 32 different breeds | 327 | walk & trot, 0.54–5.56 m/s (treadmill) |
Catavitello et al. [62] | Uniplanar marker based video-kinematography, 2D evaluation (sagittal motion) | Labrador Retriever Golden Retriever | 6 (3 each breed) | walk, 2 m/s, trot, 4 m/s & running, 9.5 m/s (overground) |
Duerr et al. [63] | Uniplanar marker based video-kinematography, 2D evaluation (sagittal motion) and inertial measurements unit | Different mid to large breed dogs | 16 | trot, 2.4–2.5 m/s (overground) |
Andrada et al. [28] | 3D marker based video- & fluoroscopic kinematography (scientific rotoscoping), 3D evaluation | Beagle | 5 | walk, 0.98 m/s & trot, 2.2 m/s (treadmill) |
Lorke et al. [64] | 3D marker based video-kinematography, 2D evaluation (sagittal motion) | Beagle | 10 | trot, 1.7–1.8 m/s (treadmill) |
Rohwedder et al. [22] | 3D marker based fluoroscopic kinematography (first third of stance phase only) | Different mid to large breed dogs | 11 (5 healthy, 6 dogs with coronoid disease) | walk, 0.6–0.9 m/s (treadmill) |
Kopec et al. [65] | Uniplanar marker based video-kinematography, 2D evaluation (sagittal motion) | Different mid to large breed dogs | 8 | walk, 1.01–1.45 m/s (overground & stair exercise) |
Rohwedder et al. [23] | 3D marker based fluoroscopic kinematography (first third of stance phase only) | Different mid to large breed dogs | 11 (5 healthy, 6 dogs with coronoid disease) | walk, 0.6–0.9 m/s (treadmill) |
Rohwedder et al. [24] | 3D marker based fluoroscopic kinematography & joint contact pattern evaluation | Labrador Retriever | 1 (before and after DPUO*) | walk, 0.6–0.9 m/s (treadmill) |
Humphries et al. [66] | 3D marker based video-kinematography, 2D evaluation (sagittal motion) | Labrador Retriever German Shepherd | 24 (12 each breed) | trot, 2.19–2.45 m/s (walkway) |
De Souza et al. [67] | 3D marker based video-kinematography, 2D evaluation (sagittal motion) | American Pit Bull Terrier | 11 | walk, 1.17 ± 0.17 m/s trot, 2.04 ± 0.33 m/s (overground) |
Summary of studies investigating canine forelimb and/or elbow joint kinematics.
DPUO: dynamic proximal ulnar osteotomy.
Most studies on elbow joint kinematics are based on video-kinematographic analysis and have investigated the motion of the elbow only in the sagittal plane [43, 44, 45, 47, 48, 49, 50, 51, 52, 53, 55, 56, 57, 58, 59, 62, 63, 65, 68, 69]. Caron et al. were the first to describe the real 3D kinematics of the canine forelimb of healthy Labrador retrievers and dogs with medial coronoid disease using video-kinematographic analysis [60]. Another study evaluated the 3D motion of orthopedic healthy canine forelimbs using video-kinematography and compared that data to fluoroscopically gained motion analysis, which was additionally calculated in one of the dogs [28].
One complete gait cycle consists of the swing and the stance phase. The swing phase starts when the paw breaks contact with the ground and ends with first ground contact of the paw. The time between initial ground contact and paw lift is defined as the stance phase. The ratio between swing and stance phase depends from the gait pattern and the dog’s velocity [28, 29, 70, 71]. At the walk the swing phase of the forelimb accounts for 39 to 43% of the whole gait cycle [60] and increases to approximately 50% to two thirds of the whole gait cycle during the trot, depending from the trotting speed [28, 43, 45, 58, 62, 64, 66]. During running the swing phase is further prolonged and accounts for approximately 75% of the gait cycle [62]. Conversely, with increasing speed the stance phase decreases [45, 70, 71].
The sagittal plane range of motion of the elbow joint (flexion-extension) is between 48.1 degrees and 70 degrees during one complete gait cycle when the dog is moving on a flat surface (Table 2), with the majority of motion occurring during the swing phase [28, 43, 44, 45, 47, 48, 49, 50, 52, 53, 56, 57, 58, 59, 60, 61, 63, 64, 65, 66, 67]. Range of motion is influenced by different parameters like breed, limb and body segment length, gait, velocity, exercise, age, contralateral limb amputation and concurrent orthopedic disease. With increasing speed of the gait the range of motion of joints increases [29, 45, 57, 62, 66, 68, 69]. Obese dogs show an increased range of motion as well, especially during the stance phase [57]. However, increasing age leads to an decrease in total range of motion, even in orthopedic healthy dogs [64]. Further, different exercises like descending stairs, uphill and downhill walking influence the range of motion, with descending stairs, obstacle exercises and uphill walking increasing the range of motion, while downhill walking decreases the amount of sagittal motion in the elbow [52, 65].
Study | Breed | Range of motion (°) | Flexion/Extension (°) | Gait/Speed |
---|---|---|---|---|
DeCamp et al. [43] | Greyhound | 53.7 | 86.8/140.5 | trot, 1.8–2.3 m/s (walkway) |
Allen et al. [44] | Mixed breed dogs | 55.8 | 93.7/149.5 | trot, 1.8–2.3 m/s (overground) |
Hottinger et al. [45] | Different large breed dogs | 48.1 | — | walk, 0.9–1.1. m/s (walkway) |
Gillette and Zebas [46] | Labrador Retriever | right: 69.1 left: 66.1 | — | trot, 2.8 m/s |
Nielsen et al. [47] | Mixed breed dogs | — | 111.7 ± 12/136.3 ± 10.4 (stance phase only) | walk, 0.8–1.0 m/s (overground) |
Owen et al. [48] | Greyhound | 49.35–49.59 | 100.98–102.7/150.57–152.05 | trot, 2.2–2.4 m/s (treadmill) |
Clements et al. [49] | Labrador Retriever | 59.3 (SD 5.5) | — | trot, 2.0 m/s (treadmill) |
Feeney et al. [50] | Labrador Retriever | 54.8 ± 17.9 | 91.4/146.3 | walk, velocity not documented(overground) |
Holler et a. [52] | Different mid to large breed dogs | normal: 52.9 ± 7.0 uphill: 54.2 ± 7.4 downhill: 43.1 ± 5.8 obstacle: 57.0 ± 6.9 | — | walk, 0.89–1.1 m/s (treadmill, normal, uphill, downhill, obstacle) |
Agostinho et al. [53] | Labrador Retriever Rottweiler | 63.77 ± 4.83 54.86 ± 5.16 | 90.52 ± 11.66/154.28 ± 9.64 93.99 ± 10.19/148.85 ± 9.15 | trot, 2.1–2.2. m/s (treadmill) |
Jarvis et al. [56] | Different breeds | stance phase only: control: 33.3 ± 8.6 amputee: 39.7 ± 10.4 | control: 123.0 ± 12.9/ 156.4 ± 12.2 amputee: 119.2 ± 12.8/ 158.9 ± 12.5 | trot, 2.2–2.6 m/s (walkway) |
Brady et al. [57] | Different breeds | lean: 52.5 (1.8 m/s) obese: 65.0 (1.8 m/s) lean: 54.0 (2.5 m/s) obese: 62.0 (2.5 m/s) | lean: 95 ± 7/147 ± 17 obese: 90 ± 11/155 ± 9 lean: 93 ± 8/147 ± 9 obese: 88 ± 14/150 ± 18 | trot, 1.8 m/s & 2.5 m/s (walkway) |
Miqueleto et al. [58] | German Shepherd | healthy: 68.15 ± 7.19 hip dysplasia: 63.54 ± 13.53 | healthy: 61.99/131.77 ± 7.60 hip dysplasia: 69.09/133.68 ± 11.37 | trot, 2.1–2.2. m/s (treadmill) |
Galindo-Zamora et al. [59] | Different mid to large breed dogs | healthy: 54.18 ± 8.62 MCD: 51.45 ± 7.27 | healthy: 82.36 ± 6.02/136.54 ± 9.16 MCD: 87.1 ± 10.8/138.55 ± 13.03 | walk, 0.65–1.1 m/s (treadmill) |
Duerr et al. [63] | Different mid to large breed dogs | 63.4 ± 7.7 | 82.1 ± 8.6/145.5 ± 10.8 | trot, 2.4–2.5 m/s (overground) |
Lorke et al. [64] | Beagle | young: 68.8 ± 2.7 old: 62.9 ± 5.1 | young: 83.2/152.0 ± 10.5 old: 76.8/139.6 ± 12.4 | trot, 1.7–1.8 m/s (treadmill) |
Kopec et al. [65] | Different mid to large breed dogs | flat: 65.81 desc. Stair: 80.43 desc. Ramp: 67.95 | 66.23/132.03 34.36/114.79 46.0/113.95 | walk, 1.01–1.45 m/s (overground & stair exercise) |
Humphries et al. [66] | Labrador Retriever German Shepherd | left: 70.63 right: 67.13 left: 67.13 right: 67.94 | 77.21/147.84 77.21/144.34 75.45/142.58 74.37/142.31 | trot, 2.19–2.45 m/s (walkway) |
De Souza et al. [67] | American Pit Bull Terrier | walk: 45.22 trot: 52.39 | walk: 111.25/167.65 trot: 110.14/163.00 | walk, 1.17 ± 0.17 m/s trot, 2.04 ± 0.33 m/s (overground) |
Summary of the values for range of motion in sagittal plane and flexion and extension angles of the canine elbow joint from different kinematic studies. All values are expressed in degrees and were calculated, if necessary, based on data of each study to allow comparison between studies. 180 degrees represent maximum extension and 0 degrees maximum flexion.
The stance phase is mainly characterized by continuous extension of the elbow joint until lifting of the paw from the ground. Some studies have shown flexion of the elbow joint just after weight bearing [43, 45, 47, 53, 58, 60, 64], resulting in two peaks of extension during the gait cycle. The first peak of extension occurs during the late swing phase and the initiation of ground contact and a second peak occurs at the end of the stance phase. The amount of this flexion differs between studies by several degrees. Further, this movement has not been described using fluoroscopic kinematography, what represents the gold standard of kinematic gait analysis [28]. This might be due to breed and inter-individual differences in the gait, due to the different techniques used for kinematic analysis or due to a soft tissue artifact, which occurs with skin mounted markers, and does not represent the in vivo motion of the bony cubital joint, but the movement pattern of the complete limb including the soft tissues [28, 32, 33]. Maximum extension of the elbow joint is reached at the end of the stance phase and is followed by continuous flexion during the swing phase. The peak flexion of the elbow joint is reached at approximately the middle of the swing phase and is followed by continuous extension of the elbow joint as a preparation for paw strike [53, 60, 64].
Besides flexion and extension, which represent the main motion pattern of the elbow joint, supination and pronation of the antebrachium and abduction and adduction of the humerus and antebrachium occur during the regular locomotion. In healthy Labrador retrievers the antebrachium is positioned in mild supination at the initial stance phase and shows minimal pronation during the remainder stance phase with a mean supination of the antebrachium of 3 ± 9 degrees [60]. In healthy Beagle the forelimb is placed onto the ground in mild pronation and is kept in this position during two thirds of the stance phase and then externally rotated during the last third of stance [28]. During the initial swing phase the antebrachium is supinated and maximum supination (mean 19 ± 9 degrees) occurs at the middle of the swing phase, together with maximum flexion of the elbow joint, in healthy Labrador retrievers [60]. In orthopedic sound Beagle a similar motion pattern is present during the swing phase, with supination of the antebrachium occurring during the first third of the swing phase [28]. Prior to foot strike rapid pronation of the antebrachium occurs and the limb is placed on the ground in a slightly supinated position in Labrador retrievers and slight pronation in Beagle [28, 60].
Three dimensional micromotion of the humerus, radius and ulna relative to each other was measured in different studies using marker based fluoroscopic kinematographic analysis [22, 23, 24, 54, 72]. Results of these studies show that the bones of the antebrachium have a complex motion pattern and radius and ulna cannot be seen as one single object. At the walk and the trot an axial movement between radius and ulna occurs in healthy and MCD affected elbows [22, 54]. In healthy canine elbow joints the radius shows an mean axial movement of 0.7 (SD 0.31) mm to 0.8 mm in relation to the ulna. This axial motion was detected in different mid to large breed dogs, like Fox hounds, Australian shepherd, Labrador retriever, Eurasian, German shepherd, Bernese mountain dog and mixed breeds [22, 54]. After the initiation of ground contact the radius moves proximally and remains in a slightly elevated position relative to the ulna, resulting in a dynamic negative radio-ulnar incongruence (RUI) [22, 72]. These results correspond with data from an in vitro study, which investigated the effects of limb loading and flexion and extension onto the radio-ulnar joint conformation and intra articular contact areas and which showed, that elbow extension leads to a relative lowering of the ulna in relation to the radius [73]. Extension is the main motion of the elbow during the weight bearing phase and therefore the induction of a dynamic negative RUI might be seen as a adaption to joint loading [72]. Further, internal and external rotation between the radius and ulna occurs during the walk. Prior to foot strike the radius is in an externally rotated position relative to the ulna und shows internal rotation during the first third of the stance phase. Mean range of motion of the in vivo internal-external radial rotation is 11.4 (SD 2.0) degrees during the initial weight bearing phase [74]. No data exist investigating the in vivo radio-ulnar movement during the later stance phase and the swing. Therefore, the in vivo motion of the antebrachial bones and the dynamic changes within the radio-ulnar joint during the complete gait cycle are still unknown.
The in vivo humero-ulnar micromotion has only been investigated in one study so far [23]. Movement between the humerus and the ulna is characterized by flexion and extension, but rotational movement of the humerus relative to the ulna takes also place during locomotion [23]. At the walk the humerus shows an relative external rotation of 2.9 (SD 1.1) degrees during the first third of the stance phase in healthy humero-ulnar joints [23, 28]. These data imply that the elbow joint is not completely restricted to sagittal motion only. One study, investigating the 3D kinematics of the whole canine forelimb showed, that at the moment of ground contact the humerus is in an internally rotated position, which is slightly less at the trot compared to the walk (mean segment angle, walk: −34 degrees; trot: −25 degrees) [28]. During the walk the humerus shows internal and external rotation and only external rotation during the trot throughout the complete stance and swing phase, with a net external rotational movement during the stance phase [28]. This external rotational motion of the humerus is contrary to the internal rotation (pronation) of the antebrachium, which occurs prior to paw strike and is maintained during the stance [28, 60].
When kinematics of the diseased canine elbow joint are evaluated two different types of changes in the kinematic pattern have to be differentiated. First, changes attributed to pain and lameness, i.e. altered kinematics as a result of the disease. Second, changes in elbow joint kinematics, which represent a causative factor of the disease process.
Due to pain, caused by different joint pathologies in the elbow with DED, multiple adaptive mechanisms occur in the affected forelimb. Decreases in stance time, angular displacement and net joint moments can all be seen in the diseased elbow joint [51].
A reduced range of motion in the sagittal plane (flexion-extension) is present in dogs with MCD [51, 59, 60]. In particular flexion of the joint is decreased and the elbow kept in a more extended position during the gait. In Labrador retrievers with MCD a faster extension of the cubital joint occurs during late swing phase and the elbow is more extended by 9 degrees (mean) during initial ground contact and the early stance phase compared to orthopedically healthy elbows [60]. This more extended gait is a compensating mechanism and aims to reduce pressure at the medial joint compartment [7, 73, 75]. At the end of the stance and beginning of swing phase the elbow joint is more rapidly flexed in affected dogs. However, no active push off occurs at the end of the stance phase indicating that the affected limb is pulled off the ground by the proximal musculature [51]. Reduction in active push off aims to reduce the pressure acting on the joint surface. The elbow is held 16 degrees more externally rotated during the end of swing and initial stance phase and the antebrachium is in average 2 degrees more abducted throughout the gait cycle and 9 degrees more supinated during the paw strike and early stance phase [60]. These changes have to be assumed as compensating mechanisms as well. Supination leads to caudal displacement of the peak pressure at the medial ulnar joint surface and by that to a release of pressure and potentially pain at the diseased medial coronoid process. Besides the Labrador retriever a more extended elbow joint is present in other breeds with MCD, e.g. Rottweiler, Staffordshire Bullterrier, Airdale terrier, Golden retriever, Polish Lowland sheepdog, German wirehaired pointer, Belgian malinois, Irish setter and mixed breed dogs [51, 59, 60]. Therefore, these changes in the kinematic pattern represent a general secondary adaption to intra articular pathologies and the corresponding pain in canine elbow joints with MCD.
Primary changes in the kinematics of the radius, ulna and humerus are assumed to play an role in the pathogenesis of MCD. Altered kinematics in the proximal radio-ulnar joint, were suggested by different researchers to be one potential factor influencing the development of MCD [76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90]. One proposed mechanism was an increased axial translation of the radius relative to the ulna leading to an dynamic radio-ulnar incongruence. Translational movement between the radius and ulna occurs in elbows with and without MCD in vivo [22, 54], with no significant difference in the total amount of movement between both groups [22]. Therefore, increased axial movement between the radius and ulna and induction of a dynamic RUI under weight bearing conditions could be excluded as an primary factor. However, the direction of radial motion is different between normal and diseased joints, with a negative RUI being induced during the initial stance phase in healthy elbows and no significant change in the radio-ulnar joint conformation in MCD affected joints [72]. Based on the results of that study dogs with a static RUI are not able to compensate the radio-ulnar step formation by radio-ulnar translation and dogs with MCD, but without a static RUI, do not show the same amount of negative dynamic RUI as measured in healthy canine elbow joints [72]. The induction of a negative radio-ulnar step during weight bearing might be a protective mechanism in healthy canine elbow joints. Lowering of the ulna or elevation of the radius during extension of the elbow joint was previously described in vitro and leads to a decrease of intra articular pressure at the medial joint compartment [73]. The inability of the diseased canine elbow joint to adjust the radio-ulnar joint conformation during loading might be one potential biomechanical factor in the pathogenesis of MCD. Especially in dogs without a measurable static incongruence, which account for 40% of all patients with MCD [76], the insufficient adaption to intra articular joint loads can lead to mechanical overload at one distinct joint compartment. Increased radio-ulnar rotation was proposed as another potential cause of mechanical overload along the radial incisure of the medial coronoid process and subsequent cartilage and bone damage [82, 87, 88, 89, 90]. The only study comparing in vivo radio-ulnar rotational movement in healthy joints to joints with MCD showed no significant difference in the total amount of radial rotation and in the motion pattern of the radius [74]. The radius starts in an externally rotated position during the late swing phase just before paw strike and rotates internally in relation to the ulna during the early weight bearing phase. At approximately 30 to 40% of the stance phase the radius shows an external rotation again. Values of total rotational movement and internal/external movement of the radius show no significant difference between normal and affected elbow (internal radial rotation, healthy: 5.7 [SD 2.1] degrees; MCD: 5.3 [SD 2.6] degrees; p = 0.1727; external radial rotation, healthy: - 5.8 [SD: 1.3] degrees; MCD: - 4.5 [1.7] degrees; p = 0.7705; total rotation, healthy: 11.4 [SD: 2.0] degrees; MCD: 9.8 [SD: 3.2]; p = 0.2904) [74]. Absence of increased radio-ulnar rotational motion does not exclude an biomechanical overload along the lateral aspect of the medial coronoid process of the ulna caused by interaction with the radial head. An abaxial attachment of the tendon of the biceps brachii muscle at the ulna was detected in dogs with MCD [90]. The pull of the biceps brachii muscle on the ulna could potentially lead to increased pressure between the medial coronoid and the radial head without altering the kinematics. However, no studies have investigated the forces acting between radius and ulna and compared these data between healthy and MCD affected dogs.
Another significant difference can be seen in the humero-ulnar rotational movement between healthy and MCD affected joints. Increased external rotation of the humeral condyle in relation to the ulna occurs at the first third of the stance phase in cubital joints with MCD (humeral rotation, healthy: 2.9 [SD 1.1] degrees; MCD: 5.3 [SD 2.0] degrees; p = 0.0229) [23]. This rotation of the humeral condyle leads to compression of the joint space between the medial coronoid process and the humeral trochlea, and might potentially lead to mechanical overload at the coronoid process and consequently to cartilage and subchondral bone damage (Figure 1). Therefore, increased humero-ulnar rotation has to be considered as one dynamic factor in the pathogenesis of MCD. If this increased humero-ulnar rotational movement is caused by soft tissue laxity, like in the dysplastic hip joint, altered muscle function or due to bony differences altering the joint function has not been investigated so far. The influence of a static positive radio-ulnar incongruence onto the contact areas and pressure distribution within the humero-ulnar joint is known [91, 92, 93]. However, the literature is lacking kinematic analysis investigating the influence of a static RUI on elbow joint motion, particular the humero-radio-ulnar micromotion. In the cited study on humero-ulnar kinematics the MCD group consisted of dogs with and without a static positive RUI [23]. Due to the small sample size no correlation could be found between the presence of static RUI and the amount of humeral rotational motion. Therefore, the influence of this significant bony deformity on the kinematics of the elbow joint remains unknown.
Image sequence of the in vivo humero-ulnar joint motion during the late swing phase (f0), at the moment of weight bearing (f30) and the first third of the stance phase (f60 – f150). (A) Healthy joint; (B) MCD affected joint; relative external rotation of the humerus occurs just after ground contact, when the joint gets loaded. External rotation of the condyle leads to a craniolateral shift of the trochlea, impinging on the lateral aspect of the medial coronoid process [
The mean body weight distribution between fore- and hindlimbs is approximately 60% : 40% in dogs [56, 94]. A large study investigating 123 different breeds found that the grand mean proportion of mass was 60.4% on the forelimbs (range: 47.6 to 74.4%) [94]. Only sex was shown to be a significant factor altering that ratio, with females being below the mean value throughout different breeds [94]. Another study comparing kinematic and kinetic data of orthopedic healthy Labrador retrievers and German shepherds reported that Labrador retrievers carry a higher percentage of the weight on their forelimbs compared to the German shepherd (69% vs. 62%, p < 0.001) [66]. If this breed specific mechanical overload plays a role in the pathogenesis of DED and contributes to the high rate of Labrador retrievers with developmental elbow disease, in particular MCD, is not known.
Within the elbow joint load and forces are not homogenously distributed throughout the whole joint surface. It was believed that the radial joint surface is the main weight bearing surface of the radio-ulnar joint. However, more recent studies have shown, that the radius takes 51 to 52% of load [73, 75, 91]. Therefore the ulna plays a more important role in weight bearing than previously assumed. Despite an overall equal load and force distribution between the radius and the ulna, not every part of the joint surface represents an active joint contact area. Within the combined radio-ulnar joint surface three distinct contact areas can be found: the craniolateral aspect of anconeal process, the joint surface of the radial head, and the medial coronoid process [7, 24, 73]. There is no particular contact at the medial aspect of the anconeal process and the center of the trochlear notch (Figure 2). The latter one might be explained by the slight physiological humero-ulnar incongruence leading to a bicentrical contact pattern [6, 7, 9, 73, 95]. When the elbow joint is loaded the force applied by the humeral condyle is distributed along the anconeal process and the coronoid region. With increasing load the concave ulnar notch is stretched and these pressure forces are partially transformed to traction forces [8, 95, 96, 97]. Therefore this physiological incongruence leads to a more even stress distribution within the humero-ulnar joint. In human elbow joints the proximal and distal contact area confluent when high loads are acting onto the ulnar joint surface [98]. This load dependent change in contact pattern has not been described in canine elbows so far [7].
Colored animation of the in vivo humero-ulnar joint contact pattern at the ulnar joint surface at the beginning of weight bearing in a healthy canine elbow joint (red: Humero-ulnar contact). Joint contact is present along the medial coronoid process and the lateral and proximal aspect of the trochlear notch. The radius is not shown in this animation.
The presence of these three contact areas within the elbow joint is further supported by increased subchondral bone density measurements at these anatomic areas [95, 99]. Bone is a dynamic tissue which has the ability to remodel in response to mechanical load (Wolff’s law) [100]. Therefore, increased bone density can be found in areas with increased load. Increased subchondral bone densities are present at the disto-medial and cranial aspect of the humeral trochlea and in the olecranon fossa, the anconeal and medial coronoid processes of the ulna and the cranio-medial region of the joint surface of the radius [95]. The same study showed a significant age-dependent increase in the subchondral bone density of the joint surfaces of all three bones, representing continuous adaption of the bone to mechanical stress with increasing age [95].
Though increased loading of the ulnar joint surface does not result in confluence of the bicentric contact pattern, other factors can influence the joint contact patterns of the humero-ulnar and humero-radial joint surfaces. An in vitro study investigated the influence of positive radio-ulnar incongruence (short radius) on joint contact patterns. Presence of a positive RUI leads to a shift of the contact area at the medial coronoid process towards the cranio-lateral aspect of the coronoid process and reduction of the anconeal contact area [93]. Other in vitro studies show similar results. After induction of a 1.9 mm positive RUI medial compartment contact area decreases significantly while the lateral contact area increases. Likewise the mean contact pressure and peak contact pressure increase within the medial compartment and decrease in the lateral part [91, 92]. Therefore, presence of a static positive RUI has to be assumed as an important factor in the disease process of developmental elbow disease and a correlation between the severity of cartilage damage and static RUI has been shown in affected elbows [76, 77, 101]. In vivo evaluation of the ulnar joint contact pattern during the walk in a dog with positive static RUI before and after bi-oblique dynamic proximal ulnar osteotomy (DPUO) confirmed the results of different in vitro studies [24]. Following DPUO positive static RUI decreased, leading to a significant increase of the contact area at the medial coronoid process and to a shift of the contact area from the cranio-lateral aspect (tip and radial incisure) towards the medial aspect and the base of the medial coronoid process (Figure 3) [24]. This positive effect of different forms of ulnar and humeral osteotomies onto humero-radio-ulnar contact and force distribution has previously been shown in vitro [75, 91, 92]. Whether a static RUI changes the kinematic pattern of humero-radial, humero-ulnar or radio-ulnar motion and by that the intra articular contact areas and pressure distribution or has a purely mechanical influence without dynamic changes has not been investigated so far.
Humero-ulnar joint contact pattern at the ulnar joint surface at the beginning of weight bearing in a canine elbow joint with MCD (red: Contact area). (A) Contact pattern before bi-oblique DPUO; focal concentration of joint contact at the medial coronoid process (MCP) and slight contact at the medial and lateral aspect of the anconeal process is present. (B) Contact pattern 12 weeks postoperative; joint contact is more homogenously distributed throughout the ulnar joint surface and the craniolateral aspect of the MCP is even not in contact with the corresponding humeral trochlea [
Further, joint contact areas change during the regular locomotion. Pronation leads to reduction of the contact area in the medial and to a lesser amount in the lateral compartment of the radio-ulnar joint surface. The effect of pronation is further influenced by the elbow joint angle, with significant reduction of the medial contact area by 23% at 135 degree of flexion, what represents the average flexion angle during the stance phase [73]. A reduced contact area will result in increased pressure when the same load is applied to the joint. Further, pronation of the antebrachium leads to a shift of the peak contact pressure towards the apex of the medial coronoid process. Otherwise supination of the antebrachium leads to caudal displacement of the peak contact pressure on the medial coronoid process [73, 75]. This might explain that dogs with medial coronoid disease show a more supinated stance to release pressure from the apex of the medial coronoid [60]. Moreover, flexion and extension, the main motion pattern during the normal locomotion, influence the intra articular pressure distribution. Flexion increases peak pressure at the medial radio-ulnar joint compartment and extension decreases pressure [73]. It is assumed that this change is due to dynamic changes within the radio-ulnar joint surface in healthy canine elbows [72, 73]. In a cadaveric study extension of the elbow joint induced lowering of the radius and ulna, however more pronounced in the ulna (3.8 mm) compared to the radius (1.9 mm). This corresponds to findings of the in vivo investigation of the radio-ulnar joint cup conformation in healthy elbow joints during the walk, where a negative RUI (short ulna) was induced during weight bearing [72]. This lowering of the ulna relative to the radius might protect the medial coronoid process from mechanical overload during locomotion in healthy canine elbows. In contrast, altered radio-ulnar kinematics preventing elevation of the radius might lead to continuous excessive mechanical overload and subsequent joint pathologies.
Considering the changes of intra articular contact areas and pressure distribution as a function of limb position might explain the typical clinical signs in dogs with developmental elbow disease. Affected dogs stand with the elbow slightly abducted and the antebrachium in slight external rotation (supination) [102]. Furthermore, the elbow joint is more rapidly extended during the swing phase and kept in a more extended position during weight bearing [60]. This motion pattern aims to reduce the contact and pressure at the medial coronoid process, where most commonly lesions attributed to developmental elbow disease occur [90, 103].
Canine elbow joint kinematics are more complex than flexion and extension of the joint and influenced by multiple factors like breed, limb length, gait, exercise and joint pathologies. The precise interaction of the three joint forming bones is essential for physiologic joint contact and intra articular force and pressure distribution. Based on the current literature an significantly increased humero-ulnar rotational movement as well as an reduced adjustment of the radio-ulnar joint during the regular locomotion of the dog seem to be two essential pathological factors influencing the development of MCD. This kind of movement is only measurable using laborious techniques like 3D fluoroscopic based kinematography. Nevertheless, further studies are needed to evaluate the complex kinematics of the healthy and the diseased canine elbow joint and to understand the effect of different kinematics onto kinetics.
The author declares no conflict of interest.
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to",isOpenForSubmission:!1,hash:"09af1a26c579a93550352ef6b8540351",slug:"an-interdisciplinary-approach-to-psoriasis",bookSignature:"Anca Chiriac",coverURL:"https://cdn.intechopen.com/books/images_new/5760.jpg",editedByType:"Edited by",editors:[{id:"193329",title:"Prof.",name:"Anca",middleName:null,surname:"Chiriac",slug:"anca-chiriac",fullName:"Anca Chiriac"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"5461",title:"Hair and Scalp Disorders",subtitle:null,isOpenForSubmission:!1,hash:"87c272cade1ee498e1b4d6051aa8d41e",slug:"hair-and-scalp-disorders",bookSignature:"Zekayi Kutlubay and Server Serdaroglu",coverURL:"https://cdn.intechopen.com/books/images_new/5461.jpg",editedByType:"Edited by",editors:[{id:"64792",title:"Dr.",name:"Zekayi",middleName:null,surname:"Kutlubay",slug:"zekayi-kutlubay",fullName:"Zekayi Kutlubay"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"5433",title:"Acne and Acneiform Eruptions",subtitle:null,isOpenForSubmission:!1,hash:"f276857bcfbedc160e03ef07fe4068fe",slug:"acne-and-acneiform-eruptions",bookSignature:"Selda Pelin Kartal and Muzeyyen Gonul",coverURL:"https://cdn.intechopen.com/books/images_new/5433.jpg",editedByType:"Edited by",editors:[{id:"72686",title:"Prof.",name:"Selda Pelin",middleName:null,surname:"Kartal",slug:"selda-pelin-kartal",fullName:"Selda Pelin Kartal"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}}],booksByTopicTotal:21,seriesByTopicCollection:[],seriesByTopicTotal:0,mostCitedChapters:[{id:"22584",doi:"10.5772/22335",title:"Severe Drug-Induced Skin Reactions: Clinical Pattern, Diagnostics and Therapy",slug:"severe-drug-induced-skin-reactions-clinical-pattern-diagnostics-and-therapy",totalDownloads:7489,totalCrossrefCites:9,totalDimensionsCites:19,abstract:null,book:{id:"310",slug:"skin-biopsy-perspectives",title:"Skin Biopsy",fullTitle:"Skin Biopsy - Perspectives"},signatures:"Mirjana Ziemer and Maja Mockenhaupt",authors:[{id:"47304",title:"Dr.",name:"Maja",middleName:null,surname:"Mockenhaupt",slug:"maja-mockenhaupt",fullName:"Maja Mockenhaupt"},{id:"47333",title:"Dr.",name:"Mirjana",middleName:null,surname:"Ziemer",slug:"mirjana-ziemer",fullName:"Mirjana Ziemer"}]},{id:"28300",doi:"10.5772/26163",title:"Pathogenesis of Psoriasis: The Role of Pro-Inflammatory Cytokines Produced by Keratinocytes",slug:"pathogenesis-of-psoriasis-the-role-of-pro-inflammatory-cytokines-produced-by-keratinocytes",totalDownloads:6643,totalCrossrefCites:4,totalDimensionsCites:13,abstract:null,book:{id:"986",slug:"psoriasis",title:"Psoriasis",fullTitle:"Psoriasis"},signatures:"Anna Balato, Nicola Balato, Matteo Megna, Maria Schiattarella, Serena Lembo and Fabio Ayala",authors:[{id:"63371",title:"Prof.",name:"Nicola",middleName:null,surname:"Balato",slug:"nicola-balato",fullName:"Nicola Balato"},{id:"65725",title:"Dr.",name:"Anna",middleName:null,surname:"Balato",slug:"anna-balato",fullName:"Anna Balato"},{id:"71045",title:"Dr.",name:"Serena",middleName:null,surname:"Lembo",slug:"serena-lembo",fullName:"Serena Lembo"},{id:"71150",title:"Dr.",name:"Matteo",middleName:null,surname:"Megna",slug:"matteo-megna",fullName:"Matteo Megna"},{id:"71153",title:"Prof.",name:"Fabio",middleName:null,surname:"Ayala",slug:"fabio-ayala",fullName:"Fabio Ayala"},{id:"119081",title:"Dr.",name:"Maria",middleName:null,surname:"Schiattarella",slug:"maria-schiattarella",fullName:"Maria Schiattarella"}]},{id:"22582",doi:"10.5772/23590",title:"New Diagnostic Applications in Sporotrichosis",slug:"new-diagnostic-applications-in-sporotrichosis",totalDownloads:3714,totalCrossrefCites:2,totalDimensionsCites:11,abstract:null,book:{id:"310",slug:"skin-biopsy-perspectives",title:"Skin Biopsy",fullTitle:"Skin Biopsy - Perspectives"},signatures:"Rosely Maria Zancope-Oliveira, Rodrigo de Almeida-Paes, Manoel Marques Evangelista de Oliveira, Dayvison Francis Saraiva Freitas and Maria Clara Gutierrez Galhardo",authors:[{id:"52688",title:"Dr",name:"Rosely",middleName:"Maria",surname:"Zancope-Oliveira",slug:"rosely-zancope-oliveira",fullName:"Rosely Zancope-Oliveira"},{id:"60613",title:"MSc.",name:"Rodrigo de",middleName:null,surname:"Almeida-Paes",slug:"rodrigo-de-almeida-paes",fullName:"Rodrigo de Almeida-Paes"},{id:"60614",title:"Prof.",name:"Manoel Marques Evangelista de",middleName:null,surname:"Oliveira",slug:"manoel-marques-evangelista-de-oliveira",fullName:"Manoel Marques Evangelista de Oliveira"},{id:"60615",title:"MSc.",name:"Dayvison Francis Saraiva",middleName:null,surname:"Freitas",slug:"dayvison-francis-saraiva-freitas",fullName:"Dayvison Francis Saraiva Freitas"},{id:"60616",title:"Dr.",name:"Maria Clara",middleName:null,surname:"Gutierrez-Galhardo",slug:"maria-clara-gutierrez-galhardo",fullName:"Maria Clara Gutierrez-Galhardo"}]},{id:"22583",doi:"10.5772/22227",title:"Skin Biopsy in Leprosy",slug:"skin-biopsy-in-leprosy",totalDownloads:8442,totalCrossrefCites:1,totalDimensionsCites:8,abstract:null,book:{id:"310",slug:"skin-biopsy-perspectives",title:"Skin Biopsy",fullTitle:"Skin Biopsy - Perspectives"},signatures:"Avninder Singh, Xiaoman Weng and Indira Nath",authors:[{id:"46851",title:"Prof.",name:"Xiaoman",middleName:null,surname:"Weng",slug:"xiaoman-weng",fullName:"Xiaoman Weng"},{id:"62845",title:"Prof.",name:"Indira",middleName:null,surname:"Nath",slug:"indira-nath",fullName:"Indira Nath"},{id:"89251",title:"Dr.",name:"Avninder",middleName:null,surname:"Singh",slug:"avninder-singh",fullName:"Avninder Singh"}]},{id:"28307",doi:"10.5772/25688",title:"Nail Psoriasis",slug:"nail-psoriasis",totalDownloads:5621,totalCrossrefCites:6,totalDimensionsCites:8,abstract:null,book:{id:"986",slug:"psoriasis",title:"Psoriasis",fullTitle:"Psoriasis"},signatures:"Eckart Haneke",authors:[{id:"64183",title:"Prof.",name:"Eckart",middleName:null,surname:"Haneke",slug:"eckart-haneke",fullName:"Eckart Haneke"}]}],mostDownloadedChaptersLast30Days:[{id:"53880",title:"Anatomy and Physiology of Hair",slug:"anatomy-and-physiology-of-hair",totalDownloads:7836,totalCrossrefCites:5,totalDimensionsCites:8,abstract:"Hair is one of the characteristic features of mammals and has various functions such as protection against external factors; producing sebum, apocrine sweat and pheromones; impact on social and sexual interactions; thermoregulation and being a resource for stem cells. Hair is a derivative of the epidermis and consists of two distinct parts: the follicle and the hair shaft. The follicle is the essential unit for the generation of hair. The hair shaft consists of a cortex and cuticle cells, and a medulla for some types of hairs. Hair follicle has a continuous growth and rest sequence named hair cycle. The duration of growth and rest cycles is coordinated by many endocrine, vascular and neural stimuli and depends not only on localization of the hair but also on various factors, like age and nutritional habits. Distinctive anatomy and physiology of hair follicle are presented in this chapter. Extensive knowledge on anatomical and physiological aspects of hair can contribute to understand and heal different hair disorders.",book:{id:"5461",slug:"hair-and-scalp-disorders",title:"Hair and Scalp Disorders",fullTitle:"Hair and Scalp Disorders"},signatures:"Bilgen Erdoğan",authors:[{id:"193661",title:"Dr.",name:"Bilgen",middleName:null,surname:"Erdoğan",slug:"bilgen-erdogan",fullName:"Bilgen Erdoğan"}]},{id:"53947",title:"Infections, Infestations and Neoplasms of the Scalp",slug:"infections-infestations-and-neoplasms-of-the-scalp",totalDownloads:3546,totalCrossrefCites:0,totalDimensionsCites:0,abstract:"This chapter reviews common cutaneous infections, infestations, and neoplasms of the scalp. Infections of the scalp are subdivided into three major groups. The most seen are: (1) Bacterial: Folliculitis, folliculitis decalvans, tufted hair folliculitis and acne keloidalis nuchae. (2) Fungal: Tinea capitis, favus and kerion celsi. (3) Protozoal: Syphilitic alopecia. Pediculosis capitis is the most common worldwide infestation of the scalp. The neoplasms of the scalp are large group of different diseases due to arising different origin. In the following section, trichilemmal cyst, proliferating trichilemmal cyst, nevus sebaceous and cylindroma are discussed in detail.",book:{id:"5461",slug:"hair-and-scalp-disorders",title:"Hair and Scalp Disorders",fullTitle:"Hair and Scalp Disorders"},signatures:"Filiz Canpolat",authors:[{id:"191617",title:"Associate Prof.",name:"Filiz",middleName:null,surname:"Canpolat",slug:"filiz-canpolat",fullName:"Filiz Canpolat"}]},{id:"54988",title:"Pathogenic Role of Cytokines and Effect of Their Inhibition in Psoriasis",slug:"pathogenic-role-of-cytokines-and-effect-of-their-inhibition-in-psoriasis",totalDownloads:2350,totalCrossrefCites:1,totalDimensionsCites:6,abstract:"The pathogenesis of psoriasis is complex, and cytokines play an important role in mediating cell-cell interactions that result in abnormal structures and functions of many cell types in psoriasis, such as abnormal proliferation and differentiation of keratinocytes, abnormal proliferation of blood vessels, stimulation of immune cells, and driving abnormal immune reactions. In this chapter, we summarize the roles and functions of inflammatory cytokines that play a crucial role in psoriasis such as tumor necrosis factor (TNF)-α, interleukin (IL)-12/IL-23, and IL-17, as well as their inhibitors that are used to treat psoriasis.",book:{id:"5760",slug:"an-interdisciplinary-approach-to-psoriasis",title:"Psoriasis",fullTitle:"An Interdisciplinary Approach to Psoriasis"},signatures:"Jitlada Meephansan, Urairack Subpayasarn, Mayumi Komine and\nMamitaro Ohtsuki",authors:[{id:"201220",title:"Dr.",name:"Mayumi",middleName:null,surname:"Komine",slug:"mayumi-komine",fullName:"Mayumi Komine"},{id:"205398",title:"Dr.",name:"Jitlada",middleName:null,surname:"Meephansan",slug:"jitlada-meephansan",fullName:"Jitlada Meephansan"},{id:"205400",title:"Prof.",name:"Mamitaro",middleName:null,surname:"Ohtsuki",slug:"mamitaro-ohtsuki",fullName:"Mamitaro Ohtsuki"},{id:"205403",title:"Dr.",name:"Urairack",middleName:null,surname:"Subpayasarn",slug:"urairack-subpayasarn",fullName:"Urairack Subpayasarn"}]},{id:"52034",title:"Occupational Acne",slug:"occupational-acne",totalDownloads:1899,totalCrossrefCites:0,totalDimensionsCites:0,abstract:"Occupational and environmental acne is a dermatological disorder associated with industrial exposure. Polyhalogenated hydrocarbons, coal tar and products, petrol, and other physical, chemical, and environmental agents are suggested to play a role in the etiology of occupational acne. The people working in the field of machine, chemistry, and electrical industry are at high risk. The various occupational acne includes chloracne, coal tar, and oil acne. The most common type in clinic is the comedones, and it is also seen as papule, pustule, and cystic lesions. Histopathological examination shows epidermal hyperplasia, while follicular and sebaceous glands are replaced by keratinized epidermal cells. Topical or oral retinoic acids and oral antibiotics could be used in treatment. The improvement in working conditions, taking preventive measures, and education of the workers could eliminate occupational acne as a problem.",book:{id:"5433",slug:"acne-and-acneiform-eruptions",title:"Acne and Acneiform Eruptions",fullTitle:"Acne and Acneiform Eruptions"},signatures:"Betul Demir and Demet Cicek",authors:[{id:"188909",title:"Dr.",name:"Betul",middleName:null,surname:"Demir",slug:"betul-demir",fullName:"Betul Demir"},{id:"194149",title:"Prof.",name:"Demet",middleName:null,surname:"Cicek",slug:"demet-cicek",fullName:"Demet Cicek"}]},{id:"53525",title:"Trichoscopy and Trichogram",slug:"trichoscopy-and-trichogram",totalDownloads:2633,totalCrossrefCites:0,totalDimensionsCites:0,abstract:"Hair and scalp examination techniques can be classified into three categories: noninvasive methods (clinical history, general examination, photography, hair count, weighing shed hair, pull test, global hair counts, dermoscopy, electron microscopy, laser scanning microscopy, etc.); semi‐invasive methods (the trichogram, unit areatrichogram); and invasive methods (biopsies in cicatritial alopecia). Scalp dermoscopy or trichoscopy is one of thenoninvasive techniques for the evaluation of patients with hair loss that allows for magnified visualization of the hair and scalp skin. It may be performed with a manual dermoscope (10× magnification) or a videodermoscope (up to 1000× magnification). This method is simple, quick, and easy to perform, is well‐accepted by patients, and is useful for monitoring treatment, determining severity of the disease and follow‐up. It is a simple, minimally invasive and rapid technique for measuring hair follicle activity. Trichogram represents a semi‐invasive technique for the evaluation of patients with hair loss that allows the microscopic examination of hairs plucked from the scalp and provides information about the state of the proximal end of the hair shaft and the distal end. The trichogram is a useful complementary tool for clinical evaluation, diagnosis, and the monitoring of treatment response.",book:{id:"5461",slug:"hair-and-scalp-disorders",title:"Hair and Scalp Disorders",fullTitle:"Hair and Scalp Disorders"},signatures:"Melike Kibar",authors:[{id:"189899",title:"Dr.",name:"Melike",middleName:null,surname:"Kibar Ozturk",slug:"melike-kibar-ozturk",fullName:"Melike Kibar Ozturk"}]}],onlineFirstChaptersFilter:{topicId:"175",limit:6,offset:0},onlineFirstChaptersCollection:[{id:"81163",title:"Immunomodulatory Effect of Methotrexate Abruptly Controls Keratinocyte Activation in Psoriasis",slug:"immunomodulatory-effect-of-methotrexate-abruptly-controls-keratinocyte-activation-in-psoriasis",totalDownloads:57,totalDimensionsCites:0,doi:"10.5772/intechopen.102811",abstract:"In psoriatic skin, epidermal keratinocytes (KCs) undergo deregulated inflammatory response that leads to prolonged expression of inflammatory mediators as well as abnormal keratins. Due to immune and genetic factors, KCs get activated and cell balance gets disturbed. This activation is mainly due to deregulated inflammatory response. A vicious cycle of KC-immune response called KC activation cycle leads to psoriasis. In psoriatic skin, epidermal KCs undergo deregulated inflammatory response that leads to prolonged expression of inflammatory mediators as well as abnormal keratins. Methotrexate (MTX) an immunosuppressive agent has been used as a standard drug to treat severe psoriasis. Acanthosis and abnormal terminal differentiation was mainly due to the mutation in epidermal keratins. In turn, disease severity and relapsing of psoriasis are mainly due to the mutation of hyperproliferative keratins. These novel keratin mutations in psoriatic epidermis might be one of the causative factors for psoriasis. MTX strongly regulates the KC activation cycle by deregulated inflammatory markers and maintains normal keratin phenotype on hyperproliferating KC, thereby controlling acanthosis in psoriasis patients.",book:{id:"11087",title:"Psoriasis - New Research",coverURL:"https://cdn.intechopen.com/books/images_new/11087.jpg"},signatures:"Tamilselvi Elango, Anburaj Jeyaraj, Haripriya Dayalan, Pushpa Gnanaraj, Xinghui Li and Xuejun Zhang"},{id:"80572",title:"Th17/IL-17, Immunometabolism and Psoriatic Disease: A Pathological Trifecta",slug:"th17-il-17-immunometabolism-and-psoriatic-disease-a-pathological-trifecta",totalDownloads:30,totalDimensionsCites:0,doi:"10.5772/intechopen.102633",abstract:"The burgeoning arena of immunometabolism provides evidence of how cellular, as well as local (tissue)/systemic metabolic pathways, are playing an important role in controlling immunity and inflammation. An intricate and elaborate network of various metabolic circuits specifically glycolysis, fatty acid oxidation and synthesis and amino acid metabolism precisely generate metabolites that rewire the immune response. Psoriasis is a chronic progressive self-perpetuated “IL-17-centric” inflammatory disease characterized by the co-existence of autoimmune and autoinflammatory pathways. Metabolic responses, governed by oxygen levels, nutrient availability, growth factors, cytokines, AMP/ATP ratios and amino acids, play a pivotal role in programming Th17 cell fate determination. Understanding the intricate interactions and complex interplay of molecular mechanisms responsible for Th17 cell metabolic rewiring, an important determinant of Th17 cell plasticity and heterogeneity, holds the potential to reshape psoriatic therapeutics in ways currently unimagined. This chapter entails with most recent updates on major cellular and systemic metabolic pathways regulating differentiation of Th17 cells as well their cross-talk with intracellular signaling mediators and also sheds light on how dysregulation of these pathways can be responsible for immune impairment and development of psoriatic disease. A better understanding of these metabolic processes could unveil an intriguing leverage point for therapeutic interventions to modulate metabolic programming and Th17 cell responses in this multi-systemic inflammatory disease.",book:{id:"11087",title:"Psoriasis - New Research",coverURL:"https://cdn.intechopen.com/books/images_new/11087.jpg"},signatures:"Seema Chhabra, Smrity Sahu, Keshav Sharma, Maryada Sharma, Lekha Rani, Ranjana Minz and Sunil Dogra"},{id:"80809",title:"Dermoscopic Differential Diagnosis of Psoriasis",slug:"dermoscopic-differential-diagnosis-of-psoriasis",totalDownloads:38,totalDimensionsCites:0,doi:"10.5772/intechopen.103004",abstract:"Psoriasis is a chronic inflammatory skin disease, which is mainly characterized with erythematous indurated plaques with squams such as many other inflammatory skin diseases. Also different clinical subtypes of psoriasis can show distinctive clinical appearances. As an example, inverse psoriasis does not have squams and resemble erythema intertrigo; or erythrodermic variant cannot be distinguished from other erythroderma causes sometimes. From reasons above, differential diagnosis of psoriasis should be done carefully to manage a chronic and long-term treatment required disease appropriately. Histopathologial examination is gold standard technique for certain diagnosis; however, dermoscope is a noninvasive and easily applicable diagnostic tool with high specificity. In this chapter, we discuss dermoscopic differential diagnosis of psoriasis.",book:{id:"11087",title:"Psoriasis - New Research",coverURL:"https://cdn.intechopen.com/books/images_new/11087.jpg"},signatures:"Ece Gokyayla, Tubanur Cetinarslan and Aylin Turel Ermertcan"},{id:"80574",title:"Developing Novel Molecular Targeted Therapeutics for Topical Treatment of Psoriasis",slug:"developing-novel-molecular-targeted-therapeutics-for-topical-treatment-of-psoriasis",totalDownloads:72,totalDimensionsCites:0,doi:"10.5772/intechopen.102725",abstract:"Psoriasis is a chronic inflammatory skin disorder. The prevalence of psoriasis is estimated at approximately 100 million people worldwide. In mild-to-moderate, as well as moderate-to-severe, psoriasis, 70–80% of patients start with topical agents and continue to use them with other active therapies. This group of patients can benefit from topical treatment with minimal systemic exposure. The expression levels of IL-23 and IL-17 are upregulated in psoriatic skin compared with non-lesional skin, associated with psoriasis pathogenesis. The skin epidermal proliferation and psoriasis are caused by overactive Th17 cells, which are promoted and stabilized by the activated IL-23 receptor, forming part of the positive feedback loop. FDA approved biologics in IL-23/IL-17 axis (ustekinumab, guselkumab, risankizumab, tildrakizumab, ixekizumab, secukinumab and brodalumab) demonstrated superior clinical efficacy in the systemic treatment of moderate-to-severe psoriasis, providing the clinical proof of concept of the IL-23/IL-17 axis as a major immune pathway underlying the pathophysiology of psoriasis. However, due to the large size and poor permeability into skin, biologics are not suitable to deliver via topical route. Current topical treatments of mild-to-moderate psoriasis are corticosteroids and vitamin D analogues, which have limited efficacy with significant side effects so that patients must avoid long-term use. This chapter reviews current molecular targeted therapeutics under development for topical treatment of psoriasis.",book:{id:"11087",title:"Psoriasis - New Research",coverURL:"https://cdn.intechopen.com/books/images_new/11087.jpg"},signatures:"Suxing Liu, Di Li and Weikang Tao"},{id:"80408",title:"Immune Markers in Psoriasis",slug:"immune-markers-in-psoriasis",totalDownloads:69,totalDimensionsCites:0,doi:"10.5772/intechopen.102567",abstract:"Psoriasis is a chronic inflammatory skin disorder with high immunological background caused by a complex interplay between an altered immune system, genetic factors, autoantigens, lifestyle, and environmental factors. Extensive literature in recent years highlighted the crucial role played by the immune system in the pathogenesis of this pathology. Although it is unequivocally accepted that psoriasis is a T-cell mediated autoimmune condition, both innate and specific immune cells are highly involved in the pathogenesis of psoriasis. The aberrant interactions between immune cells and resident hyper-proliferative keratinocytes are mediated by immune and non-immune related molecules which lead to amplification of the local immune responses, that maintain the chronic inflammatory status. In this chapter, we will highlight the immune molecules resident in the psoriatic tissue or appending to the blood circulation that can indicate the prognosis of this systemic autoimmune disease. Moreover, we will focus on immune cells resident or circulating ones that can pinpoint the clinical evolution of the psoriatic disease. All these data can be developed in immune markers patterns that aid psoriasis diagnosis and/or future (immune)therapies.",book:{id:"11087",title:"Psoriasis - New Research",coverURL:"https://cdn.intechopen.com/books/images_new/11087.jpg"},signatures:"Mihaela Surcel, Adriana Narcisa Munteanu, Carolina Constantin and Monica Neagu"},{id:"80041",title:"Topical Moisturisers for the Management of Psoriasis Vulgaris",slug:"topical-moisturisers-for-the-management-of-psoriasis-vulgaris",totalDownloads:87,totalDimensionsCites:0,doi:"10.5772/intechopen.101964",abstract:"The aim of this chapter is to provide an overview of basic and tailored topical moisturisers and discuss how and why they form the backbone for the management of psoriasis. Our discussion begins by describing the main characteristics of psoriasis and by indicating how alterations in the skin’s integrity and barrier function contribute to the initial development of psoriasis and subsequent changes in psoriasis phenotype. Next, we address the evolution of topical moisturisers to ever more sophisticated and beneficial products, and describe the key biophysical effects exerted on the psoriatic skin by their active ingredients, as well as the myriad benefits offered by fundamental and specialty ingredients. Furthermore, we delineate how topical moisturiser formulation modalities can help to improve compromised skin barrier function and to alleviate the symptoms of psoriasis, cosmetically and/or therapeutically as well as discuss the associated concerns and challenges encountered along the way.",book:{id:"11087",title:"Psoriasis - New Research",coverURL:"https://cdn.intechopen.com/books/images_new/11087.jpg"},signatures:"Dalibor Mijaljica, Fabrizio Spada and Ian P. 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Ribeiro-Barros",profilePictureURL:"https://mts.intechopen.com/storage/users/171036/images/system/171036.jpg",institutionString:"University of Lisbon",institution:{name:"University of Lisbon",institutionURL:null,country:{name:"Portugal"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null}]},subseriesFiltersForPublishedBooks:[{group:"subseries",caption:"Sustainable Economy and Fair Society",value:91,count:1}],publicationYearFilters:[{group:"publicationYear",caption:"2022",value:2022,count:1}],authors:{paginationCount:189,paginationItems:[{id:"221831",title:"Prof.",name:"Niansheng",middleName:null,surname:"Tang",slug:"niansheng-tang",fullName:"Niansheng Tang",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/221831/images/system/221831.jpeg",biography:"Niansheng Tang is a Professor of Statistics and Dean of the School of Mathematics and Statistics, Yunnan University, China. He was elected a Yangtze River Scholars Distinguished Professor in 2013, a member of the International Statistical Institute (ISI) in 2016, a member of the board of the International Chinese Statistical Association (ICSA) in 2018, and a fellow of the Institute of Mathematical Statistics (IMS) in 2021. He received the ICSA Outstanding Service Award in 2018 and the National Science Foundation for Distinguished Young Scholars of China in 2012. He serves as a member of the editorial board of Statistics and Its Interface and Journal of Systems Science and Complexity. He is also a field editor for Communications in Mathematics and Statistics. His research interests include biostatistics, empirical likelihood, missing data analysis, variable selection, high-dimensional data analysis, Bayesian statistics, and data science. He has published more than 190 research papers and authored five books.",institutionString:"Yunnan University",institution:{name:"Yunnan University",country:{name:"China"}}},{id:"1177",title:"Prof.",name:"António",middleName:"J. R.",surname:"José Ribeiro Neves",slug:"antonio-jose-ribeiro-neves",fullName:"António José Ribeiro Neves",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/1177/images/system/1177.jpg",biography:"Prof. António J. R. Neves received a Ph.D. in Electrical Engineering from the University of Aveiro, Portugal, in 2007. Since 2002, he has been a researcher at the Institute of Electronics and Informatics Engineering of Aveiro. Since 2007, he has been an assistant professor in the Department of Electronics, Telecommunications, and Informatics, University of Aveiro. He is the director of the undergraduate course on Electrical and Computers Engineering and the vice-director of the master’s degree in Electronics and Telecommunications Engineering. He is an IEEE Senior Member and a member of several other research organizations worldwide. His main research interests are computer vision, intelligent systems, robotics, and image and video processing. He has participated in or coordinated several research projects and received more than thirty-five awards. He has 161 publications to his credit, including books, book chapters, journal articles, and conference papers. He has vast experience as a reviewer of several journals and conferences. As a professor, Dr. Neves has supervised several Ph.D. and master’s students and was involved in more than twenty-five different courses.",institutionString:null,institution:{name:"University of Aveiro",country:{name:"Portugal"}}},{id:"11317",title:"Dr.",name:"Francisco",middleName:null,surname:"Javier Gallegos-Funes",slug:"francisco-javier-gallegos-funes",fullName:"Francisco Javier Gallegos-Funes",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/11317/images/system/11317.png",biography:"Francisco J. Gallegos-Funes received his Ph.D. in Communications and Electronics from the Instituto Politécnico Nacional de México (National Polytechnic Institute of Mexico) in 2003. He is currently an associate professor in the Escuela Superior de Ingeniería Mecánica y Eléctrica (Mechanical and Electrical Engineering Higher School) at the same institute. His areas of scientific interest are signal and image processing, filtering, steganography, segmentation, pattern recognition, biomedical signal processing, sensors, and real-time applications.",institutionString:"Instituto Politécnico Nacional",institution:{name:"Instituto Politécnico Nacional",country:{name:"Mexico"}}},{id:"428449",title:"Dr.",name:"Ronaldo",middleName:null,surname:"Ferreira",slug:"ronaldo-ferreira",fullName:"Ronaldo Ferreira",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/428449/images/21449_n.png",biography:null,institutionString:null,institution:{name:"University of Aveiro",country:{name:"Portugal"}}},{id:"165328",title:"Dr.",name:"Vahid",middleName:null,surname:"Asadpour",slug:"vahid-asadpour",fullName:"Vahid Asadpour",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/165328/images/system/165328.jpg",biography:"Vahid Asadpour, MS, Ph.D., is currently with the Department of Research and Evaluation, Kaiser Permanente Southern California. 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:"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:"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. 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