Recognition results with MS, MFCC features, and their combination on Berlin database; AVG. denotes average recognition rate; \n
\r\n\tRecent advances regarding pathogenesis, cardiovascular risk assessment, prediction of damage, and recent advances in treatment, including tolerogenic and biological agents, are welcome to be included in this book. Relevant contributions regarding standard therapies and their optimal use, as well as the role of new therapeutic options, either in combination with previous agents or alone are of interest.
",isbn:"978-1-80356-348-0",printIsbn:"978-1-80356-347-3",pdfIsbn:"978-1-80356-349-7",doi:null,price:0,priceEur:0,priceUsd:0,slug:null,numberOfPages:0,isOpenForSubmission:!1,isSalesforceBook:!1,hash:"7005f26b225e5923d4ce4cd7c52f6fe9",bookSignature:"M.D. Sophia Lionaki and Dr. Minas Karagiannis",publishedDate:null,coverURL:"https://cdn.intechopen.com/books/images_new/11726.jpg",keywords:"Epidemiology, Genetics, Clinical Picture, Physical Examination, Pathogenesis, Histopathology, Nomenclature, Clinical Syndromes, Clinical Picture, Evaluation, Pregnancy Planning, Risk Assessment",numberOfDownloads:null,numberOfWosCitations:0,numberOfCrossrefCitations:null,numberOfDimensionsCitations:null,numberOfTotalCitations:null,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"February 17th 2022",dateEndSecondStepPublish:"March 17th 2022",dateEndThirdStepPublish:"May 16th 2022",dateEndFourthStepPublish:"August 4th 2022",dateEndFifthStepPublish:"October 3rd 2022",remainingDaysToSecondStep:"2 months",secondStepPassed:!0,currentStepOfPublishingProcess:4,editedByType:null,kuFlag:!1,biosketch:"A researcher devoted to clinical research related to autoimmune diseases of the kidney and especially ANCA vasculitis and lupus nephritis. Dr. Lionaki obtained her MD from the National and Kapodistrian University of Athens and has a Ph.D. degree in \"Membranous Nephropathy”. She is an expert in the field of 'Glomerular Diseases' as a result of a fellowship for more than 2 years at the Nephrology Department of the University of North Carolina, at Chapel Hill in the USA.",coeditorOneBiosketch:null,coeditorTwoBiosketch:null,coeditorThreeBiosketch:null,coeditorFourBiosketch:null,coeditorFiveBiosketch:null,editors:[{id:"213115",title:"M.D.",name:"Sophia",middleName:null,surname:"Lionaki",slug:"sophia-lionaki",fullName:"Sophia Lionaki",profilePictureURL:"https://mts.intechopen.com/storage/users/213115/images/system/213115.png",biography:"Sophia Lionaki, MD, PhD is an Assistant Professor In Nephrology in the National and Kapodistrian University of Athens, Greece. She obtained her MD from National and Kapodistrian University of Athens, Greece in 1996 and has a Ph.D degree on \"Membranous Nephropathy”. She is an expert in the field of 'Glomerular Diseases' as a result of a fellowship for more than 2 years at the Nephrology Department of the University of North Carolina, at Chapel Hill in USA under the mentorship of Professors Ronald J. Falk and J.Charles Jennette. \nHer research interests include: ANCA vasculitis and glomerulonephritis, lupus nephritis, primary glomerulonephritides, immunology of the kidney.",institutionString:"National and Kapodistrian University of Athens",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"2",totalChapterViews:"0",totalEditedBooks:"1",institution:{name:"National and Kapodistrian University of Athens",institutionURL:null,country:{name:"Greece"}}}],coeditorOne:{id:"451879",title:"Dr.",name:"Minas",middleName:null,surname:"Karagiannis",slug:"minas-karagiannis",fullName:"Minas Karagiannis",profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:"National and Kapodistrian University of Athens",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"0",totalChapterViews:"0",totalEditedBooks:"0",institution:{name:"National and Kapodistrian University of Athens",institutionURL:null,country:{name:"Greece"}}},coeditorTwo:null,coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"16",title:"Medicine",slug:"medicine"}],chapters:null,productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"},personalPublishingAssistant:{id:"418641",firstName:"Iva",lastName:"Ribic",middleName:null,title:"M.Sc.",imageUrl:"https://mts.intechopen.com/storage/users/418641/images/16830_n.png",email:"iva.r@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:"7073",title:"Lupus",subtitle:"New Advances and Challenges",isOpenForSubmission:!1,hash:"72a1c80811ab9ff742c3d3ebefada247",slug:"lupus-new-advances-and-challenges",bookSignature:"Sophia Lionaki",coverURL:"https://cdn.intechopen.com/books/images_new/7073.jpg",editedByType:"Edited by",editors:[{id:"213115",title:"M.D.",name:"Sophia",surname:"Lionaki",slug:"sophia-lionaki",fullName:"Sophia Lionaki"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"6550",title:"Cohort Studies in Health Sciences",subtitle:null,isOpenForSubmission:!1,hash:"01df5aba4fff1a84b37a2fdafa809660",slug:"cohort-studies-in-health-sciences",bookSignature:"R. 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Mauricio Barría"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"9500",title:"Recent Advances in Bone Tumours and Osteoarthritis",subtitle:null,isOpenForSubmission:!1,hash:"ea4ec0d6ee01b88e264178886e3210ed",slug:"recent-advances-in-bone-tumours-and-osteoarthritis",bookSignature:"Hiran Amarasekera",coverURL:"https://cdn.intechopen.com/books/images_new/9500.jpg",editedByType:"Edited by",editors:[{id:"67634",title:"Dr.",name:"Hiran",surname:"Amarasekera",slug:"hiran-amarasekera",fullName:"Hiran Amarasekera"}],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:"3092",title:"Anopheles mosquitoes",subtitle:"New insights into malaria vectors",isOpenForSubmission:!1,hash:"c9e622485316d5e296288bf24d2b0d64",slug:"anopheles-mosquitoes-new-insights-into-malaria-vectors",bookSignature:"Sylvie Manguin",coverURL:"https://cdn.intechopen.com/books/images_new/3092.jpg",editedByType:"Edited by",editors:[{id:"50017",title:"Prof.",name:"Sylvie",surname:"Manguin",slug:"sylvie-manguin",fullName:"Sylvie Manguin"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"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. Venkateswarlu",coverURL:"https://cdn.intechopen.com/books/images_new/371.jpg",editedByType:"Edited by",editors:[{id:"58592",title:"Dr.",name:"Arun",surname:"Shanker",slug:"arun-shanker",fullName:"Arun Shanker"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"72",title:"Ionic Liquids",subtitle:"Theory, Properties, New Approaches",isOpenForSubmission:!1,hash:"d94ffa3cfa10505e3b1d676d46fcd3f5",slug:"ionic-liquids-theory-properties-new-approaches",bookSignature:"Alexander Kokorin",coverURL:"https://cdn.intechopen.com/books/images_new/72.jpg",editedByType:"Edited by",editors:[{id:"19816",title:"Prof.",name:"Alexander",surname:"Kokorin",slug:"alexander-kokorin",fullName:"Alexander Kokorin"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"314",title:"Regenerative Medicine and Tissue Engineering",subtitle:"Cells and Biomaterials",isOpenForSubmission:!1,hash:"bb67e80e480c86bb8315458012d65686",slug:"regenerative-medicine-and-tissue-engineering-cells-and-biomaterials",bookSignature:"Daniel Eberli",coverURL:"https://cdn.intechopen.com/books/images_new/314.jpg",editedByType:"Edited by",editors:[{id:"6495",title:"Dr.",name:"Daniel",surname:"Eberli",slug:"daniel-eberli",fullName:"Daniel Eberli"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"57",title:"Physics and Applications of Graphene",subtitle:"Experiments",isOpenForSubmission:!1,hash:"0e6622a71cf4f02f45bfdd5691e1189a",slug:"physics-and-applications-of-graphene-experiments",bookSignature:"Sergey Mikhailov",coverURL:"https://cdn.intechopen.com/books/images_new/57.jpg",editedByType:"Edited by",editors:[{id:"16042",title:"Dr.",name:"Sergey",surname:"Mikhailov",slug:"sergey-mikhailov",fullName:"Sergey Mikhailov"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}}]},chapter:{item:{type:"chapter",id:"77778",title:"The Emerging Field Trends Erosion-Free Electric Hall Thrusters Systems",doi:"10.5772/intechopen.99096",slug:"the-emerging-field-trends-erosion-free-electric-hall-thrusters-systems",body:'The realization that outer space is becoming an integral part of our earthly existence becomes commonplace. Hundreds of all kinds of spacecraft (maneuverable and marching), plow the vastness of the vast space. The moving force of such spacecraft has become the electric propulsions different kinds. Traditionally, Hall thrusters (plasma accelerators with closed Hall current and metal or dielectric walls [1, 2, 3, 4] attract a special attention of the electric propulsion community. Remarkably high efficiency, simplicity, and potential durability make the Hall thruster one of the primary candidates for miniaturization and application in small communications satellites and using for primary propulsion in deep-space scientific missions. Hall thrusters inherit coaxial geometry for which the material of the annular chamber walls significantly affects the plasma discharge properties and erosion of the dielectric walls. In order to avoid erosion developers, try to create modified wall less accelerator constructions [5, 6]. But these attempts while are not completed, quite complicated and sound many skepticisms.
One of the promising ways to avoid erosion issues is the separation of the magnetic and electrical circuits of the accelerator, which is easier to do in the cylindrical geometry. This principle was carried out and tested in the original Hall type erosion-less accelerator on a laboratory stand at the Institute of Physics NAS of Ukraine [7, 8, 9, 10]. The novelty of the proposed idea is the use of a virtual parallel surface of the anode to the cathode due to the principle of equipotentialization of magnetic field lines. Which allows to avoid sputtering of the cathode surface. It was shown the potential drop forms at the axis of system that can use for ion beam formation and accelerating.
We describe the Hall-type accelerator with closed Hall current and open (that is unbounded by metal or dielectric) walls that was proposed and considered both theoretically and experimentally. A two-dimensional hybrid model in cylindrical coordinates is constructed in the framework of which the possibility of creation a positive space charge at the system axes is shown. It is shown that the ions flow from the hump of electrical potential can lead to the creation of a powerful ion flow, which moves along the symmetry axis in both sides from the center. The formation of the actual traction beam should occur due to the acceleration of ions by the accumulated positive bulk charge. Thus, such type of accelerator could sound interest in manipulating high-current flow of charge particle as well as can be attractive for many different high-tech applications and for potential elaborations of low cost, compact and durability electric thrusters.
This article is the brief review of the current status an ongoing experimental and theoretical research and simulations results of such kind accelerator based on the axial-symmetric cylindrical electrostatic plasma lens configuration and the fundamental plasma-optical principles of magnetic electron isolation and equipotentialization magnetic field lines.
Experiments were carried out on a laboratory stand, the schematic diagram of which is shown in Figure 1 on the left. Vacuum chamber 1 contained a test mockup of the accelerator with open walls. The accelerator consisted of a magnetic core with permanent magnets 2 and an electrode system with cylindrical anode 3 and cathode 4 formed by a system of pins. The experimental installation allowed a controlled gas input, by usinCHA-2 system. The gas pumping was performed with the use of a vacuum unit with an oil-vapor pump. The photo of the accelerator with anode layer and open wall is shown in Figure 1 on the right.
Left: Experimental setup; vacuum chamber (1), magnetic system (H= 650–750 Oe) (2), anode (3), cathode (4). Right: Photo of the accelerator with anode layer and open walls.
As can be seen from the Figure 1 on the left, the cathode is composed of two parts that are separated in space. The ends of the cathode pins coincide with the magnetic surfaces that in area between them are parallel to the anode surface. The application of the plasmaoptics principles to the design of a cylindrical accelerator with anode layer and open walls allowed to create an accelerator with virtual cathode that is parallel to the anode plane for its entire width and with cathode that is several centimeters wide. That allows to form a wide flow of accelerated ions to the system axis of symmetry. Due to that each part of the cathode is made in the form of pins, the collecting surface area is significantly reduced, that reduces the contribution of the cathode material in the flow.
The discharge in the system burns due to the working gas (argon) ionization by the electrons. Electrons are magnetized and formed stable negative space charge. The created ions are accelerated from the ionization zone towards the cathode.
The formation of the magnetic field is provided by a system of permanent magnets located in the magnetic circuit. By selecting the number and polarity of the magnets in each system layer, it was possible to change the magnetic field geometry in a wide range. In experiment the system of permanent magnets was arranged in such a way that the magnetic field in the gap between the cathode and the anode was parallel to system’s axis as much as possible. It was owing to this configuration of the magnetic field that a system with open walls was created.
As mentioned above, the cathode is composed of two parts separated in space and their edge coincide with magnetic field lines that are parallel to anode surface. The magnitude of the magnetic field is such that Larmor radius of the electron is much smaller than the system radius. Due to this, the principle of the equipotentialization of magnetic field lines with accuracy up to the electron temperature works [11]. Accordingly, a cylindrical virtual surface is formed between these parts, which potential is close to cathode potential. Through the electrons drift in the crossed electric and magnetic field ExH there is a closed Hall current and corresponding space charge, that creates a layer near the anode surface where the main potential drop occurs [12]. With the appearance of the Hall current in the perpendicular direction, the electron current along E becomes small. In turn, the ions are almost unaffected by the magnetic field, because the Larmor radius of the ion is more than characteristic system size [2, 13]. Ions under the electric field influence, moving in the cathode direction, converge to the center and are pushed out of the system along the axis. The electrons exit speed from the system along the axis is quite small and is compensated by the working gas ionization by these electrons. At low pressure, ionization occurs between the anode and virtual cylindrical cathode. With increasing pressure, the anode layer size can reach the radius of the system. The operation modes of the accelerator also change [9].
The dependence of the current strength on the applied potential to the anode for different working gas pressure were obtained experimentally. The results of the effect of the change in the working gas pressure in the source volume on the discharge current density for the low-current mode are shown in the Figure 2. For the presented curves for different voltages, it can be seen that the current density little depends on the gas pressure in the system for potentials up to 1,5 kV in the discharge gap.
Dependence of current density on the pressure the chamber at different values of the voltage applied to the discharge gap.
This result can be explained by the assumption that the ionized particles concentration under these conditions does not depend on the working gas pressure. This corresponds to the obtained theoretical results also.
Note that the operation modes of this kind accelerator are very close to those of the classical accelerator with an anode layer. There are two operation modes of this kind accelerator. The first is low-current, with a clearly visible narrow radiating layer between the anode and cathode, in the range of 10−4 Torr. The current increases monotonically with increasing applied voltage (see Figure 3a). With increasing pressure at a constant applied voltage, this layer gradually occupies the entire volume of the accelerator. During this mode, the ions are mostly formed in a narrow anode layer and move towards the system axis, hardly experiencing the influence of a magnetic field. Accumulating on the system axis, they are pushed out of the volume along it. The study of the distance changing influence between the virtual cathode and anode showed the existence of the optimum. The maximum current on the system axis is fixed at a distance d=10 mm between electrodes, as one can see from Figure 3a.
Volt-ampere characteristic of the accelerator in low-current mode at a) different distance between the anode and cathode at pressure 10−4 Torr and b) at different values of pressure in chamber.
In the second mode – high current, the discharge extends to the entire internal system volume. When the voltage reached a certain value (U > 1,8 kV), the discharge current increased in a jump-like manner (see Figure 4a), and the discharge transited into the high-current mode, in which the distinct anode layer was absent. In this mode, a typical discharge current was several orders of magnitude higher (up to 2 A, as can be seen from Figure 4) than in the low-current mode. Thus, It is evident that the transition into the high-current mode occurs under the influence of two factors: the working gas pressure (see Figure 3b) and the voltage applied across the discharge gap (Figure 4).
Volt-ampere characteristic of the accelerator at different pressure in a) low-current mode b) high-current mode.
Another characteristic feature of the high-current mode is the formation of a plasma torch. At the discharge voltage U > 1,8 kV bright radiation is observed from the system volume from the ends of the cylindrical channel along the rotation symmetry axis (see Figure 5a). In the discharge concerned, ions are accelerated along system’s radius towards system’s axis. The torches at the ends, on the contrary, are observed along the axis, perpendicularly to the radius and the direction of initial ion acceleration.
a) Plasma jet from volume of thruster in high current operation mode. b) Floating potential dependence on the pressure at the system edge.
Thus, owing to the discharge geometry, in space limited by electrodes of the accelerator there is an accumulation of ion space charge like a lens with a positive space charge, that was proposed earlier for negatively charged particles beam focusing [14, 15, 16, 17]. The generated ions reach the system axis and accumulate in the region around it. Ions are stored in the cylinder volume until their own space charge creates a critical electric field. This field forces ions to leave the volume. The main part of the generated ions escapes from the system perpendicularly to its radius. Due to this plasma torches are formed at the edges of the device, which are clearly visible in high-current mode. The results of measuring the floating potential along the axis of the system show that under certain conditions along the plasma torch axis there may be a potential drop (see Figure 5b), which can be used to accelerate the generated ions and form a charged particles beam.
Radial studies of the plasma flow coming out along the system axis in this device at different pressures revealed a significant increase in current density on the axis (see Figure 6). That fact may indicate the plasma acceleration in this direction. The study of the dependence of the uncompensated current density on the accelerator volume shows the existence of a maximum for a pressure of 6·10−4 Torr. This operation mode of the accelerator is mostly interesting for use as a prototype of the ion-plasma small rocket engine.
a) Distribution of the current density along the system radius at the accelerator output. b) the dependence of the current density on the system axis on the pressure in chamber at different values of potential at the anode.
Determination of the ion energy distribution function (see Figure 7a) in this accelerator was performed by retarding potential method using a 3-line analyzer (discharge current 1.5–2 A; voltage 1.5–2.1 kV; pressure in the range 10−4–10−3 Torr). The research results showed the formation of a sufficiently monoenergetic beam with of FWHM (as can be seen from Figure 7b), at the level of 10% of the average value which reached two thirds of the anode discharge potential (in particular, at Uanode = 1.8 kV, E = 1.2 keV).
a) Ion energy distribution function ion energy distribution function (voltage 1.8 kV; pressure 3*10−4 Torr). b) the dependence of FWHM (full width at half maximum) on the voltage applied to the anode.
To clarify the obtained experimental data, primarily a one-dimensional hydrodynamical theoretical model was developed (see Figure 8a). Here x-axis is directed along the radius of the system. We have considered the discharge gap, where ions production appear due to working gas ionization by electrons. Electrons are magnetized, move along magnetic strength lines and drift slowly to anode due to collisions. Ions are free and accelerated by electric field move to the system axis.
a) Model of discharge gap: 1- anode, 2- cathode, 3- permanent magnets system; b) potential distribution in the gap for different parameters
The closed system of equations that describes such system in hydrodynamic approximation in stationary state has the form:
here
In the framework of this model, both exact analytical and numerical solutions were obtained [7, 10]. Based on the idea of continuity of current transferring in the system and assumption that the discharge current density in gap volume is the sum of the ion and electron components are found exact analytical solutions describing electric potential distribution along acceleration gap, if Te = const. It has the next form in low-current mode:
where
where
here
To clarify the effect of electron temperature on the characteristics of accelerating layer, it was assumed that the electrons received energy from the electric field, thus
Consider a more complete description, assuming that heat loss occurs due to different types of collision. Entering the characteristic time τ0 – energy loss by collision, expression for electron temperature (4) can be represented as:
If we assume that τ0 is equal to electron lifetime τed, we obtain:
Thus, the second term in expression (3) disappears and we come back to the solution (7). The numerical solution of system Eq. (1)–(6) showed that the electron density changes extraordinarily little along the gap with typical operating parameters, so our assumption about ne = const is justified.
So, even in such a simplified model, we obtain a result explaining the appearance a space charge and finding the optimal length of accelerating gap. Nevertheless, although the hydrodynamic model can well describe the dynamics of the electron and ionic components, it does not make allowance for ionization state processes, as well as the influence of neutral atoms in the working gas. A purely kinetic description cannot also be used because of a significant difference between the velocities of electrons and ions. Therefore, a description using the hybrid model may be an optimal decision.
In the framework of this model [18, 19], the hydrodynamic description is used for the electron component, and the kinetic description for the ionic and neutral ones. This approach also allows the limited stay time of ions in the system to be considered. A one-dimensional model was considered with regard for only the single ionization. In this case, we can write the following equations for neutrals and ions, respectively.
here f0, fi – distribution function of neutrals and ions consequently, that satisfy boundary conditions:
In (13) and (14) right part expression is:
here σmax – maximal ionization cross-section, v
For electrons we can use hydrodynamic model and to solve system (1)–(6), where instead Eq. (2) and (5), the equations are used:
The numerical solution of the system of Eqs. (13)–(17) showed that in the stationary case the difference between two models is insignificant (see Figure 9a). A comparison between the results of both models obtained in model experiments testifies to an insignificant influence of the neutral component of a working gas on the formation of the potential drop across the discharge gap for the examined initial conditions.
a) Comparison between the results of numerical calculations for the potential distribution in the discharge gap in the hydrodynamic and hybrid models. b) Ions number dependence on r and z (r = 0, z = 0 – center of the system).
To solve the Eqs. (13) and (14), we chose a time step that satisfies the condition
Ion distribution in the gap on different time steps.
Note that for correct description (especially high-current mode), it is necessary to model ionization, collisions, and plasma creation, as well as motion of neutrals and formed ions in the whole volume of accelerator, thus need consider two-dimensional hybrid model.
In the framework of this model the kinetic description is used in cylindrical geometry for the ionic and neutral components and the hydrodynamic one-dimension on each special layer zi<z<zi+1 description for the electron ones. Thus, for ions and neutrals description we use Boltzmann kinetic equation:
We solved this equation by splitting on the Vlasov equation for finding trajectories of ions and neutrals:
and to correct the found trajectories considering the collision integral, in which we took into account the processes of ionization and elastic and inelastic collisions:
The Vlasov equations were solved by the method of characteristics [20]:
To solve these equations the PIC method [21] with Boris scheme [22] was used to avoid singularities at the axis. For initial electric field distribution was taken electric field in the plasma absence:
here
where R(r, rj) – usual standard PIC – core, that characterizes particle size and shape and charge distribution in it. For a cylindrical coordinate system it has form [24]:
here
After that the Poisson equation was solved and new electric field distribution was found. Since electrons are magnetized, we consider their movement in radial plane only, thus can solve for electrons one-dimensional hydrodynamic equations on each layer at z separately. Solve it we find electron density, calculate electric field on each layer and correct particle trajectories. After that the procedure was repeated. Modeling time is large enough for establish of ion multiplication process. The formation of the sufficient number of ions is possible due to magnetic field presence, which isolates anode from the cathode. Ions practically do not feel the magnetic field action and move from anode to the axis, where create a space charge, first in the center of the system. Electrons move along the magnetic field strength line, but due to collisions with neutrals, they start move across the magnetic field. An internal electric field is formed which slow down the ions and pushes out them from the volume along system axis. The Figure 9b shows results of modeling high-current mode (Ua = 1.2 kV, pressure 0.15 Pa and magnetic field at the axis is 0.03 T). In is shown how the ions number to axis increases when ionization process is steady-state. One can see that number of ions increase not only to axis but along axis from center to edge too. In Figure 11 the calculated ion trajectories for different time steps are shown. One can see that the ions that appear due to ionization move to center of the system. Coinciding on the system axis, they accumulate and create a positive space charge, and then diverge along the axis in both directions under the action of created own electric field. The ion space charge distribution for these case is shown in Figure 12.
Ion’s trajectories (calculation for Ua = 1 kV, H = 0.03 T) for different time step a) Nt = 50, b) Nt = 200.
Ion space charge for time step 70 (a) and 340 (b).
The electrons trajectories for this case are shown in Figure 13a. One can see that the electrons are magnetized, moving along magnetic strength lines, and their trajectories are almost parallel to the surface of the anode. The Figure 14 shows the potential distribution for different time steps. One can see that at the beginning of ionization, the potential drop is not complete in the gap and even has a negative sign in the center of the system. With ions number increasing, they coincide in the center of the system and form a positive space charge cloud, the potential of which even exceeds the applied potential Ua. This creates an electric field under which ions begin to move along the axis of symmetry in both directions, from the center to the edges, taking out with them part of space charge, reducing it in the center and creating bulks of space charge at the ends of the system (see Figure 12).
Electron (a) and ions (b) trajectories in accelerator for H = 0.03 T.
Potential distribution for different time step: a) Nt = 10, b) Nt = 100, c) Nt = 300.
If we look at the potential distribution along the z-axis, we see that the maximum potential with distance from the center first declines, but then gradually begins to increase (see Figure 15). One can see that at a distance of 0.16 m from system center maximum potential is 222 V(∼0.22 Ua), while at a distance 0.21 m it is already 396 V, which is equal to 0.4 Ua, and current density of ion beam reached 0.7 mA/cm2. Thus, the formed ions, initially accumulating in the center of the system, under action of own created electric field can accelerated and create a powerful ion flux from both edges of the accelerator.
Potential distribution on the system axis at different distances from the center of the system: a) z = 0.16 m., b) z = 0.22 m.
Our research of the accelerator with closed electron drift and open walls demonstrates its similarity to the accelerator with anode layer and metallic walls in the accelerator channel. The low-current operation mode with an anode layer confined by the interelectrode gap and the high-current operation mode with well-distinguishable plasma torches at system’s ends are obtained. The jump-like transition between the modes is shown to occur under the influence of the anode potential and the working gas pressure. In the low-current mode, the discharge current depends much stronger on the voltage applied across the discharge gap than on the working gas pressure. A hybrid theoretical model was developed, and simulation results on its basis are obtained. In the framework of this model the possibility of creation a positive space charge at the system axes is shown. It is shown that the ions flow from the hump of electrical potential can lead to the creation of a powerful ion flow, which moves along the symmetry axis in both sides from the center.
Thus, it is shown the carried out theoretical and experimental explorations demonstrate attractive perspective for further development and elaboration new generation erosion-free Hall-type accelerators. This open up possibility to apply kind improved devices like the space electric propulsions and tools for High-Tech ion-plasma surface treatment of functional materials.
The work was performed within the framework of the targeted comprehensive program “Prospective research in the field of plasma physics, controlled fusion and plasma technologies” under the project PL-2021.
Emotion plays a significant role in daily interpersonal human interactions. This is essential to our rational as well as intelligent decisions. It helps us to match and understand the feelings of others by conveying our feelings and giving feedback to others. Research has revealed the powerful role that emotion play in shaping human social interaction. Emotional displays convey considerable information about the mental state of an individual. This has opened up a new research field called automatic emotion recognition, having basic goals to understand and retrieve desired emotions. In prior studies, several modalities have been explored to recognize the emotional states such as facial expressions [1], speech [2], physiological signals [3], etc. Several inherent advantages make speech signals a good source for affective computing. For example, compared to many other biological signals (e.g., electrocardiogram), speech signals usually can be acquired more readily and economically. This is why the majority of researchers are interested in speech emotion recognition (SER). SER aims to recognize the underlying emotional state of a speaker from her voice. The area has received increasing research interest all through current years. There are many applications of detecting the emotion of the persons like in the interface with robots, audio surveillance, web-based E-learning, commercial applications, clinical studies, entertainment, banking, call centers, cardboard systems, computer games, etc. For classroom orchestration or E-learning, information about the emotional state of students can provide focus on the enhancement of teaching quality. For example, a teacher can use SER to decide what subjects can be taught and must be able to develop strategies for managing emotions within the learning environment. That is why learner’s emotional state should be considered in the classroom.
\nThree key issues need to be addressed for successful SER system, namely, (1) choice of a good emotional speech database, (2) extracting effective features, and (3) designing reliable classifiers using machine learning algorithms. In fact, the emotional feature extraction is a main issue in the SER system. Many researchers [4] have proposed important speech features which contain emotion information, such as energy, pitch, formant frequency, Linear Prediction Cepstrum Coefficients (LPCC), Mel-frequency cepstrum coefficients (MFCC), and modulation spectral features (MSFs) [5]. Thus, most researchers prefer to use combining feature set that is composed of many kinds of features containing more emotional information [6]. However, using a combining feature set may give rise to high dimension and redundancy of speech features; thereby, it makes the learning process complicated for most machine learning algorithms and increases the likelihood of overfitting. Therefore, feature selection is indispensable to reduce the dimensions redundancy of features. A review for feature selection models and techniques is presented in [7]. Both feature extraction and feature selection are capable of improving learning performance, lowering computational complexity, building better generalizable models, and decreasing required storage. The last step of speech emotion recognition is classification. It involves classifying the raw data in the form of utterance or frame of the utterance into a particular class of emotion on the basis of features extracted from the data. In recent years in speech emotion recognition, researchers proposed many classification algorithms, such as Gaussian mixture model (GMM) [8], hidden Markov model (HMM) [9], support vector machine (SVM) [10, 11, 12, 13, 14], neural networks (NN) [15], and recurrent neural networks (RNN) [16, 17, 18]. Some other types of classifiers are also proposed by some researchers such as a modified brain emotional learning model (BEL) [19] in which the adaptive neuro-fuzzy inference system (ANFIS) and multilayer perceptron (MLP) are merged for speech emotion recognition. Another proposed strategy is a multiple kernel Gaussian process (GP) classification [17], in which two similar notions in the learning algorithm are presented by combining the linear kernel and radial basis function (RBF) kernel. The Voiced Segment Selection (VSS) algorithm also proposed in [20] deals with the voiced signal segment as the texture image processing feature which is different from the traditional method. It uses the Log-Gabor filters to extract the voiced and unvoiced features from spectrogram to make the classification.
\nIn previous work [21], we present a system for the recognition of «seven acted emotional states (anger, disgust, fear, joy, sadness, and surprise)». To do that, we extracted the MFCC and MS features and used them to train three different machine learning paradigms (MLR, SVM, and RNN). We demonstrated that the combination of both features has a high accuracy above 94% on the Spanish database. All previously published works generally use the Berlin database. To our knowledge, the Spanish emotional database has never been used before. For this reason, we have chosen to compare them. In this chapter, we concentrate to improve accuracy; more experiments have been performed. This chapter mainly makes the following contributions:
The effect of speaker normalization (SN) is also studied, which removes the mean of features and normalizes them to unit variance. Experiments are performed under a speaker-independent condition.
Additionally, a feature selection technique is assessed to obtain good features from the set of features extracted in [21].
The rest of the chapter is organized as follows. In the next section, we start by introducing the nature of speech emotions. Section 3 describes features we extracted from a speech signal. A feature selection method and machine learning algorithms used for SER are presented. Section 4 reports on the databases we used and presents the simulation results obtained using different features and different machine learning (ML) paradigms. Section 5 closes this chapter by analyses and conclusion.
\nThis section is concerned with defining the term emotion, presenting its different models. Also for recognizing emotions, there are several techniques and inputs that can be used. A brief description of all of the techniques is presented here.
\nA definition is both important and difficult because the everyday word “emotion” is a notoriously fluid term in meaning. Emotion is one of the most difficult concepts to define in psychology. In fact, there are different definitions of emotions in the scientific literature. In everyday speech, emotion is any relatively brief conscious experience characterized by intense mental activity and a high degree of pleasure or displeasure [22, 23]. Scientific discourse has drifted to other meanings and there is no consensus on a definition. Emotion is often entwined with temperament, mood, personality, motivation, and disposition. In psychology, emotion is frequently defined as a complex state of feeling that results in physical and psychological changes. These changes influence thought and behavior. According to other theories, emotions are not causal forces but simply syndromes of components such as motivation, feeling, behavior, and physiological changes [24]. In 1884, in
The categorization of emotions has long been a hot subject of debate in different fields of psychology, affective science, and emotion research. It is mainly based on two popular approaches: categorical (termed discrete) and dimensional (termed continuous). In the first approach, emotions are described with a discrete number of classes. Many theorists have conducted studies to determine which emotions are basic [27]. A most popular example is Ekman [28] who proposed a list of six basic emotions, which are anger, disgust, fear, happiness, sadness, and surprise. He explains that each emotion acts as a discrete category rather than an individual emotional state. In the second approach, emotions are a combination of several psychological dimensions and identified by axes. Other researchers define emotions according to one or more dimensions. Wilhelm Max Wundt proposed in 1897 that emotions can be described by three dimensions: (1) strain versus relaxation, (2) pleasurable versus unpleasurable, and (3) arousing versus subduing [29]. PAD emotional state model is another three-dimensional approach by Albert Mehrabian and James Russell where PAD stands for pleasure, arousal, and dominance. Another popular dimensional model was proposed by James Russell in 1977. Unlike the earlier three-dimensional models, Russell’s model features only two dimensions which include (1) arousal (or activation) and (2) valence (or evaluation) [29].
\nThe categorical approach is commonly used in SER [30]. It characterizes emotions used in everyday emotion words such as joy and anger. In this work, a set of six basic emotions (anger, disgust, fear, joy, sadness, and surprise) plus neutral, corresponding to the six emotions of Ekman’s model, were used for the recognition of emotion from speech using the categorical approach.
\nThere is vigorous debate about what exactly individual can express nonverbally. Humans can express their emotions through many different types of nonverbal communication including facial expressions, quality of speech produced, and physiological signals of the human body. In this section, we discuss each of these categories.
\nThe human face is extremely expressive, able to express countless emotions without saying a word [31]. And unlike some forms of nonverbal communication, facial expressions are universal. The facial expressions for happiness, sadness, anger, surprise, fear, and disgust are the same across cultures.
\nIn addition to faces, voices are an important modality for emotional expression. Speech is a relevant communicational channel enriched with emotions: the voice in speech not only conveys a semantic message but also the information about the emotional state of the speaker. Some important voice feature vectors that have been chosen for research such as fundamental frequency, mel-frequency cepstral coefficient (MFCC), prediction cepstral coefficient (LPCC), etc.
\nThe physiological signals related to autonomic nervous system allow to assess objectively emotions. These include electroencephalogram (EEG), heart rate (HR), electrocardiogram (ECG), respiration (RSP), blood pressure (BP), electromyogram (EMG), skin conductance (SC), blood volume pulse (BVP), and skin temperature (ST) [32]. Using physiological signals to recognize emotions is also helpful to those people who suffer from physical or mental illness thus exhibit problems with facial expressions or tone of voice.
\nOur SER system consists of four main steps. First is the voice sample collection. The second features vector that is formed by extracting the features. As the next step, we tried to determine which features are most relevant to differentiate each emotion. These features are introduced to machine learning classifier for recognition. This process is described in Figure 1.
\nBlock diagram of the proposed system.
The speech signal contains a large number of parameters that reflect the emotional characteristics. One of the sticking points in emotion recognition is what features should be used. In recent research, many common features are extracted, such as energy, pitch, formant, and some spectrum features such as linear prediction coefficients (LPC), mel-frequency cepstrum coefficients (MFCC), and modulation spectral features. In this work, we have selected modulation spectral features and MFCC, to extract the emotional features.
\nSchema of MFCC extraction [
In our research, we extract the first 12 order of the MFCC coefficients where the speech signals are sampled at 16 KHz. For each order coefficients, we calculate the mean, variance, standard deviation, kurtosis, and skewness, and this is for the other all the frames of an utterance. Each MFCC feature vector is 60-dimensional.
\nProcess for computing the ST representation [
As reported by Aha and Bankert [34], the objective of feature selection in ML is to “reduce the number of features used to characterize a dataset so as to improve a learning algorithm’s performance on a given task.” The objective will be the maximization of the classification accuracy in a specific task for a certain learning algorithm; as a collateral effect, the number of features to induce the final classification model will be reduced. Feature selection (FS) aims to choose a subset of the relevant features from the original ones according to certain relevance evaluation criterion, which usually leads to higher recognition accuracy [35]. It can drastically reduce the running time of the learning algorithms. In this section, we present an effective feature selection method used in our work, named recursive feature elimination with linear regression (LR-RFE).
\nMany machine learning algorithms have been used for discrete emotion classification. The goal of these algorithms is to learn from the training samples and then use this learning to classify new observation. In fact, there is no definitive answer to the choice of the learning algorithm; every technique has its own advantages and limitations. For this reason, here we chose to compare the performance of three different classifiers.
\nInputs: Class models \n
Output: Class of \n
1. \n
2. \n
3. Distance calculation between original and predicted response variables \n
4. Decision is made in favor of the class with the minimum distance \n
Figure 4 shows a basic concept of RNN implementation. Unlike traditional neural network that uses different parameters at each layer, the RNN shares the same parameters (U, V, and W are presented in Figure 4) across all steps. The hidden state formulas and variables are as follows:
\nA basic concept of RNN and unfolding in time of the computation involved in its forward computation [
where \n
The performance and robustness of the recognition systems will be easily affected if it is not well trained with a suitable database. Therefore, it is essential to have sufficient and suitable phrases in the database to train the emotion recognition system and subsequently evaluate its performance. There are three main types of databases: acted emotions, natural spontaneous emotions, and elicited emotions [27, 44]. In this work, we used an acted emotion databases because they contain strong emotional expressions. The literature on speech emotion recognition [45] shows that the majority of studies have been conducted with emotional acted speech. In this section, we detailed the two emotional speech databases used for classifying discrete emotions in our experiments: Berlin Database and Spanish Database.
\nThe Berlin database [46] is widely used in emotional speech recognition. It contains 535 utterances spoken by 10 actors (5 female, 5 male) in 7 simulated emotions (anger, boredom, disgust, fear, joy, sadness, and neutral). This database was chosen for the following reasons: (i) the quality of its recording is very good, and (ii) it is public [47] and popular database of emotion recognition that is recommended in the literature [19].
\nThe INTER1SP Spanish emotional database contains utterances from two professional actors (one female and one male speaker).The Spanish corpus that we have the right to access (free for academic and research use) [48] was recorded twice in the «six basic emotions plus neutral (anger, sadness, joy, fear, disgust, surprise and neutral/normal)». Four additional neutral variations (soft, loud, slow, and fast) were recorded once. This is preferred to other created database because it is available for researchers use and it contains more data (6041 utterances in total). This paper has focused on only seven main emotions from the Spanish database in order to achieve a higher and more accurate rate of recognition and to make the comparison with the Berlin database detailed above.
\nIn this section, experimentation results are presented and discussed. We report the recognition accuracy of using MLR, SVM, and RNN classifiers. Experimental evaluation is performed on the Berlin and Spanish databases. All classification results are obtained under tenfold cross-validation. Cross-validation is a common practice used in performance analysis that randomly partitions the data into N complementary subsets, with \n
\n | \n | \n | \n | Recognition rate (%) | \n\n | |||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Test | \nFeature | \nMethod | \nSN | \nA | \nE | \nF | \nL | \nN | \nT | \nW | \nAVG. | \n(\n | \n
#1 | \nMS | \nMLR | \nNo | \n45.90 | \n45.72 | \n48.78 | \n77.08 | \n59.43 | \n79.91 | \n75.94 | \n66.23 | \n(5.85) | \n
MFCC | \n56.55 | \n62.28 | \n45.60 | \n54.97 | \n57.35 | \n74.36 | \n91.37 | \n64.70 | \n(3.20) | \n|||
MFCC+SM | \n70.26 | \n73.04 | \n51.95 | \n82.44 | \n69.55 | \n82.49 | \n76.55 | \n73.00 | \n(3.23) | \n|||
#2 | \nMS | \nSVM | \nNo | \n56.61 | \n54.78 | \n51.17 | \n70.98 | \n67.32 | \n67.50 | \n73.13 | \n70.63 | \n(6.45) | \n
MFCC | \n73.99 | \n64.14 | \n64.76 | \n55.30 | \n62.28 | \n84.13 | \n83.13 | \n71.70 | \n(4.24) | \n|||
MFCC+SM | \n82.03 | \n68.70 | \n69.09 | \n79.16 | \n76.99 | \n80.89 | \n80.63 | \n81.10 | \n(2.73) | \n|||
#3 | \nMS | \nMLR | \nYes | \n48.98 | \n35.54 | \n32.66 | \n80.35 | \n55.54 | \n88.79 | \n85.77 | \n64.20 | \n(5.27) | \n
MFCC | \n59.71 | \n59.72 | \n48.65 | \n67.10 | \n67.98 | \n91.73 | \n87.51 | \n71.00 | \n(4.19) | \n|||
MFCC+SM | \n72.32 | \n68.82 | \n51.98 | \n82.60 | \n81.72 | \n91.96 | \n80.71 | \n75.25 | \n(2.49) | \n|||
#4 | \nMS | \nSVM | \nYes | \n62.72 | \n49.44 | \n37.29 | \n76.14 | \n71.30 | \n88.44 | \n80.15 | \n71.90 | \n(2.38) | \n
MFCC | \n70.68 | \n56.55 | \n56.99 | \n59.88 | \n68.14 | \n91.88 | \n85.44 | \n77.60 | \n(4.35) | \n|||
MFCC+SM | \n77.37 | \n69.67 | \n58.16 | \n79.87 | \n88.57 | \n98.75 | \n86.64 | \n81.00 | \n(2.45) | \n
Recognition results with MS, MFCC features, and their combination on Berlin database; AVG. denotes average recognition rate; \n
Berlin (a, fear; e, disgust; f, happiness; l, boredom; n, neutral; t, sadness; w, anger).
\n | \n | \n | \n | Recognition rate (%) | \n\n | \n | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Test | \nFeature | \nMethod | \nSN | \nA | \nD | \nF | \nJ | \nN | \nS | \nT | \nAVG. | \n(\n | \n
#1 | \nMS | \nMLR | \nNo | \n67.72 | \n44.04 | \n68.78 | \n46.95 | \n89.58 | \n63.10 | \n78.49 | \n69.22 | \n(1.37) | \n
MFCC | \n67.85 | \n61.41 | \n75.97 | \n60.17 | \n95.79 | \n71.89 | \n84.94 | \n77.21 | \n(0.76) | \n|||
MFCC+SM | \n78.75 | \n78.18 | \n80.68 | \n63.84 | \n96.80 | \n82.44 | \n89.01 | \n83.55 | \n(0.55) | \n|||
#2 | \nMS | \nSVM | \nNo | \n70.33 | \n69.38 | \n78.09 | \n60.97 | \n89.25 | \n69.38 | \n85.95 | \n80.98 | \n(1.09) | \n
MFCC | \n79.93 | \n79.02 | \n81.81 | \n75.71 | \n93.77 | \n80.15 | \n92.01 | \n90.94 | \n(0.93) | \n|||
MFCC+SM | \n84.90 | \n88.26 | \n89.44 | \n80.90 | \n96.58 | \n83.89 | \n95.63 | \n89.69 | \n(0.62) | \n|||
#3 | \nMS | \nMLR | \nYes | \n64.76 | \n49.02 | \n66.87 | \n44.52 | \n87.50 | \n58.26 | \n78.70 | \n67.84 | \n(1.27) | \n
MFCC | \n66.54 | \n57.83 | \n74.56 | \n56.98 | \n94.02 | \n72.32 | \n89.63 | \n76.47 | \n(1.51) | \n|||
MFCC+SM | \n77.01 | \n78.45 | \n80.50 | \n64.18 | \n94.42 | \n80.14 | \n91.29 | \n83.03 | \n(0.97) | \n|||
#4 | \nMS | \nSVM | \nYes | \n69.81 | \n70.35 | \n75.44 | \n52.60 | \n86.77 | \n66.94 | \n82.57 | \n78.40 | \n(1.64) | \n
MFCC | \n77.45 | \n77.41 | \n80.99 | \n69.47 | \n91.89 | \n75.17 | \n93.50 | \n87.47 | \n(0.95) | \n|||
MFCC+SM | \n85.28 | \n84.54 | \n84.49 | \n73.47 | \n93.43 | \n81.79 | \n94.04 | \n86.57 | \n(0.72) | \n
Recognition results with MS, MFCC features, and their combination on Spanish database.
Spanish (a, anger; d, disgust; f, fear; j, joy; n, neutral; s, surprise; t, sadness).
Dataset | \nFeature | \nSN | \nAverage (avg) | \nStandard deviation (\n | \n
---|---|---|---|---|
Berlin | \nMS | \nNo | \n66.32 | \n5.93 | \n
MFCC | \n69.55 | \n3.91 | \n||
MFCC+MS | \nYes | \n63.67 | \n7.74 | \n|
MS | \n68.94 | \n5.65 | \n||
MFCC | \n73.08 | \n5.17 | \n||
MFCC+MS | \n\n | 76.98 | \n4.79 | \n|
Spanish | \nMS | \nNo | \n82.30 | \n2.88 | \n
MFCC | \n86.56 | \n2.80 | \n||
MFCC+MS | \n90.05 | \n1.64 | \n||
MS | \nYes | \n82.14 | \n1.67 | \n|
MFCC | \n86.21 | \n1.22 | \n||
MFCC+MS | \n87.02 | \n0.36 | \n
Recognition results using RNN classifier based on Berlin and Spanish databases.
From Table 1, it can be concluded that applying SN improves recognition results for Berlin database. But this is not the case for the Spanish database, as demonstrated in Tables 2 and 3. Results are the same with the three different classifiers. This can be explained by the number of speakers in each database. The Berlin database contains 10 different speakers, compared to the Spanish database that contains only two speakers and probably the language impact. As regarding the RNN method, we found that combining both types of features has the worst recognition rate for the Berlin database, as shown in Table 3. That is because the RNN model has too many parameters (155 coefficients in total) and a poor training data. This is the phenomena of overfitting. This is confirmed by the fact that when we reduced the number of features from 155 to 59 features, the results show an increase of above 13%, as shown in Table 4. To investigate whether a smaller feature space leads to better recognition performance, we repeated all evaluations on the development set by applying a recursive feature elimination (LR-RFE) for each modality combination. The stability of RFE depends heavily on the type of model that is used for feature ranking at each iteration. In our case, we tested the RFE based on an SVM and regression models; we found that using linear regression provides more stable results. We observed from the previous results that the combination of the features gives the best results. So we applied LR-RFE feature selection only for this combination to improve accuracy. In this work, a total of 155 features were used; best features were chosen from feature selection. Fifty-nine features were selected by RFE feature selection method based on LR from the Berlin database and 110 features from the Spanish database. The corresponding results of LR-RFE can be seen in Table 4. For most setting using the Spanish database, LR-RFE does not significantly improve the average accuracy. However, for recognition based on Berlin database using the three classifiers, LR-RFE leads to a remarkable performance gain, as shown in Figure 5. This increases the average of MFCC combined with MS features from 63.67 to 78.11% for RNN classifier. These results are illustrated in Table 4. For the Spanish database, the feature combination of MFCC and MS after applying LR-RFE selection using RNN has the best recognition rate which is above 94.01%.
\nSN | \nClassifier | \nLR-RFE | \nBerlin | \nSpanish | \n
---|---|---|---|---|
No | \nMLR | \nNo | \n73.00 (3.23) | \n83.55 (0.55) | \n
Yes | \n79.40 (3.09) | \n84.19 (0.96) | \n||
SVM | \nNo | \n81.10 (2.73) | \n89.69 (0.62) | \n|
Yes | \n80.90 (3.17) | \n90.05 (0.80) | \n||
RNN | \nNo | \n63.67 (7.74) | \n90.05 (1.64) | \n|
Yes | \n78.11 (3.53) | \n|||
Yes | \nMLR | \nNo | \n75.25 (2.49) | \n83.03 (0.97) | \n
Yes | \n82.27 (1.12) | \n|||
SVM | \nNo | \n81.00 (2.45) | \n86.57 (0.72) | \n|
Yes | \n86.47 (1.34) | \n|||
RNN | \nNo | \n76.98 (4.79) | \n87.02 (0.36) | \n|
Yes | \n85.00 (0.93) | \n
Recognition results with combination of MFCC and MS features using ML paradigm before and after applying LR-RFE feature selection method (Berlin and Spanish databases).
Performance comparison of three machine learning paradigms (MLR, SVM, RNN) using speaker normalization (SN) and RFE feature selection (FS), for the Berlin database, is shown.
The confusion matrix for the best recognition of emotions using MFCC and MS features with RNN based on Spanish database is shown in Table 5. The rate column lists per class recognition rates and precision for a class are the number of samples correctly classified divided by the total number of samples classified to the class. It can be seen that
Emotion | \nAnger | \nDisgust | \nFear | \nJoy | \nNeutral | \nSurprise | \nSadness | \nRate (%) | \n
---|---|---|---|---|---|---|---|---|
Anger | \n||||||||
Disgust | \n0 | \n|||||||
Fear | \n0 | \n3 | \n||||||
Joy | \n3 | \n1 | \n1 | \n|||||
Neutral | \n2 | \n0 | \n1 | \n0 | \n||||
surprise | \n2 | \n1 | \n0 | \n3 | \n0 | \n|||
Sadness | \n0 | \n0 | \n1 | \n0 | \n2 | \n0 | \n||
Precision (%) | \n91.86 | \n91.78 | \n92.10 | \n94.66 | \n96.29 | \n95.23 | \n94.28 | \n\n |
Confusion matrix for feature combination after LR-RFE selection based on Spanish database.
In this current study, we presented an automatic speech emotion recognition (SER) system using three machine learning algorithms (MLR, SVM, and RNN) to classify seven emotions. Thus, two types of features (MFCC and MS) were extracted from two different acted databases (Berlin and Spanish databases), and a combination of these features was presented. In fact, we study how classifiers and features impact recognition accuracy of emotions in speech. A subset of highly discriminant features is selected. Feature selection techniques show that more information is not always good in machine learning applications. The machine learning models were trained and evaluated to recognize emotional states from these features. SER reported the best recognition rate of 94% on the Spanish database using RNN classifier without speaker normalization (SN) and with feature selection (FS). For Berlin database, all of the classifiers achieve an accuracy of 83% when a speaker normalization (SN) and a feature selection (FS) are applied to the features. From this result, we can see that RNN often perform better with more data and it suffers from the problem of very long training times. Therefore, we concluded that the SVM and MLR models have a good potential for practical usage for limited data in comparison with RNN .
\nEnhancement of the robustness of emotion recognition system is still possible by combining databases and by fusion of classifiers. The effect of training multiple emotion detectors can be investigated by fusing these into a single detection system. We aim also to use other feature selection methods because the quality of the feature selection affects the emotion recognition rate: a good emotion feature selection method can select features reflecting emotion state quickly. The overall aim of our work is to develop a system that will be used in a pedagogical interaction in classrooms, in order to help the teacher to orchestrate his class. For achieving this goal, we aim to test the system proposed in this work.
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\\n\\nSljedeća terminologija odnosi se na Odredbe i uvjete, te na sve naše ugovore:
\\n\\nKlijent, stranka, vi, vaš odnosi se na vas, osobu koja pristupa ovoj stranici i prihvaća IntechOpenove Odredbe i uvjete;
\\n\\nKompanija, tvrtka, mi, naše odnosi se na tvrtku IntechOpen;
\\n\\nStranke, strane odnosi se na klijenta i na nas, ili samo na klijenta ili nas.
\\n\\nSve odredbe koje se odnose na ponudu, prihvat ili razmatranje plaćanja, a za koja mi pružamo asistenciju klijentu, bilo na ugovoreni ili fiksni način, a s ciljem da se ostvare potrebe i želje klijenta u svezi s našim uslugama, su podložne zakonskim odredbama Ujedinjenog Kraljevstva.
\\n\\nOsim ako nije suprotno navedeno, IntechOpen i/ili svi davatelji licence vlasnici su intelektualnog vlasništva nad svim materijalima na www.intechopen.com. Sva prava intelektualnog vlasništva su pridržana. Stranice sa www.intechopen.com možete gledati, preuzimati, dijeliti, dijeliti poveznice i printati za osobnu uporabu, a temeljem pravila sadržanih u ovim Odredbama i uvjetima.
\\n\\nMi koristimo kolačiće. Korištenjem IntechOpenove stranice slažete se s korištenjem kolačića u skladu s IntechOpenovom Politikom privatnosti. Većina modernih, interaktivnih stranica koristi kolačiće kako bi omogućila ponovno pronalaženje korisničkih detalja kod svakog posjeta. Na našoj stranici kolačići se uglavnom koriste kako bi omogućili funkcionalnost i olakšali posjetiteljima korištenje stranice.
\\n\\nIntechOpen ili njegovi suradnici niti u jednom slučaju neće biti odgovorni za štete (štete uključuju gubitak podataka ili profita, druge poslovne prekide, te sve ostale štete) koje nastanu zbog korištenja materijala na IntechOpenovoj stranici ili nemogućnosti da se iste koriste, čak i ako je IntechOpen ili njegov predstavnik o takvoj šteti obaviješten pismenim ili usmenim putem. Neke jurisdikcije ne dozvoljavaju ograničenja garancija ili ograničenja obveza za posljedične ili slučajne štete pa se u tom slučaju ova ograničenja možda ne odnose na vas.
\\n\\nMaterijali koji se pojavljuju na IntechOpenovoj stranici mogu sadržavati manje greške, tipfelere ili fotografske greške. IntechOpen može napraviti promjene na bilo kojem materijalu koji se nalazi na stranici u bilo koje vrijeme.
\\n\\nIntechOpen nije formalno povezan niti s jednom vanjskom stranicom čije poveznice vode na www.intechopen.com, osim ako to nije izravno navedeno. Iz tog razloga IntechOpen nije odgovoran za sadržaj koji se pojavljuje na takvim stranicama. Poveznica na IntechOpenovu stranicu ne implicira povezanost sa IntechOpenom. Korištenje takvih poveznica isključiva je odgovornost korisnika.
\\n\\nZadržavamo pravo vlasništva nad cjelokupnom stranicom www.intechopen.com i nad svim materijalom na toj stranici. Koristeći se našim uslugama, slažete se da maknete sve poveznice na našu stranicu odmah nakon što to od vas zatražimo. Također, zadržavamo pravo da ove Odredbe i uvjete, i politiku o poveznicama izmjenimo u bilo koje vrijeme. Koristeći se poveznicama na naše stranice slažete se s ovim Odredbama i uvjetima.
\\n\\nAko smatrate da je bilo koja poveznica na našoj stranici sumnjiva iz bilo kojeg razloga, molimo vas da nas kontaktirate. U tom slučaju razmotrit ćemo micanje poveznice s naše stranice, iako nismo obvezni to napraviti.
\\n\\nBez prethodne privole i izričite pisane dozvole, ne možete stvarati okvire oko naših stranica ili koristiti druge tehnike koje na bilo koji način mogu promijeniti prezentaciju ili izgled naše stranice.
\\n\\nIntechOpen može ove Odredbe izmijeniti u bilo koje vrijeme i bez prethodne obavijesti. Koristeći ovu stranicu vi se slažete s trenutnim Odredbama i uvjetima koje su na snazi.
\\n\\nOve Odredbe i uvjeti su sastavljeni u skladu s odredbama prava Ujedinjenog Kraljevstva, a za sve sporove nadležan je sud u Londonu, Ujedinjeno Kraljevstvo.
\\n"}]'},components:[{type:"htmlEditorComponent",content:"Pristupom na stranicu www.intechopen.com slažete se s ovim odredbama, sa svim primjenjivim zakonskim odredbama, te se slažete s poštovanjem svih lokalnih zakona. Korištenje i/ili pristup ovoj stranici temelji se na potpunom prihvaćanju ovih odredbi. Svi materijali na ovoj stranici zaštićeni su primjenjivim zakonima o autorskim pravima i žigu.
\n\nSljedeća terminologija odnosi se na Odredbe i uvjete, te na sve naše ugovore:
\n\nKlijent, stranka, vi, vaš odnosi se na vas, osobu koja pristupa ovoj stranici i prihvaća IntechOpenove Odredbe i uvjete;
\n\nKompanija, tvrtka, mi, naše odnosi se na tvrtku IntechOpen;
\n\nStranke, strane odnosi se na klijenta i na nas, ili samo na klijenta ili nas.
\n\nSve odredbe koje se odnose na ponudu, prihvat ili razmatranje plaćanja, a za koja mi pružamo asistenciju klijentu, bilo na ugovoreni ili fiksni način, a s ciljem da se ostvare potrebe i želje klijenta u svezi s našim uslugama, su podložne zakonskim odredbama Ujedinjenog Kraljevstva.
\n\nOsim ako nije suprotno navedeno, IntechOpen i/ili svi davatelji licence vlasnici su intelektualnog vlasništva nad svim materijalima na www.intechopen.com. Sva prava intelektualnog vlasništva su pridržana. Stranice sa www.intechopen.com možete gledati, preuzimati, dijeliti, dijeliti poveznice i printati za osobnu uporabu, a temeljem pravila sadržanih u ovim Odredbama i uvjetima.
\n\nMi koristimo kolačiće. Korištenjem IntechOpenove stranice slažete se s korištenjem kolačića u skladu s IntechOpenovom Politikom privatnosti. Većina modernih, interaktivnih stranica koristi kolačiće kako bi omogućila ponovno pronalaženje korisničkih detalja kod svakog posjeta. Na našoj stranici kolačići se uglavnom koriste kako bi omogućili funkcionalnost i olakšali posjetiteljima korištenje stranice.
\n\nIntechOpen ili njegovi suradnici niti u jednom slučaju neće biti odgovorni za štete (štete uključuju gubitak podataka ili profita, druge poslovne prekide, te sve ostale štete) koje nastanu zbog korištenja materijala na IntechOpenovoj stranici ili nemogućnosti da se iste koriste, čak i ako je IntechOpen ili njegov predstavnik o takvoj šteti obaviješten pismenim ili usmenim putem. Neke jurisdikcije ne dozvoljavaju ograničenja garancija ili ograničenja obveza za posljedične ili slučajne štete pa se u tom slučaju ova ograničenja možda ne odnose na vas.
\n\nMaterijali koji se pojavljuju na IntechOpenovoj stranici mogu sadržavati manje greške, tipfelere ili fotografske greške. IntechOpen može napraviti promjene na bilo kojem materijalu koji se nalazi na stranici u bilo koje vrijeme.
\n\nIntechOpen nije formalno povezan niti s jednom vanjskom stranicom čije poveznice vode na www.intechopen.com, osim ako to nije izravno navedeno. Iz tog razloga IntechOpen nije odgovoran za sadržaj koji se pojavljuje na takvim stranicama. Poveznica na IntechOpenovu stranicu ne implicira povezanost sa IntechOpenom. Korištenje takvih poveznica isključiva je odgovornost korisnika.
\n\nZadržavamo pravo vlasništva nad cjelokupnom stranicom www.intechopen.com i nad svim materijalom na toj stranici. Koristeći se našim uslugama, slažete se da maknete sve poveznice na našu stranicu odmah nakon što to od vas zatražimo. Također, zadržavamo pravo da ove Odredbe i uvjete, i politiku o poveznicama izmjenimo u bilo koje vrijeme. Koristeći se poveznicama na naše stranice slažete se s ovim Odredbama i uvjetima.
\n\nAko smatrate da je bilo koja poveznica na našoj stranici sumnjiva iz bilo kojeg razloga, molimo vas da nas kontaktirate. U tom slučaju razmotrit ćemo micanje poveznice s naše stranice, iako nismo obvezni to napraviti.
\n\nBez prethodne privole i izričite pisane dozvole, ne možete stvarati okvire oko naših stranica ili koristiti druge tehnike koje na bilo koji način mogu promijeniti prezentaciju ili izgled naše stranice.
\n\nIntechOpen može ove Odredbe izmijeniti u bilo koje vrijeme i bez prethodne obavijesti. Koristeći ovu stranicu vi se slažete s trenutnim Odredbama i uvjetima koje su na snazi.
\n\nOve Odredbe i uvjeti su sastavljeni u skladu s odredbama prava Ujedinjenog Kraljevstva, a za sve sporove nadležan je sud u Londonu, Ujedinjeno Kraljevstvo.
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Shohel"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}}]},subject:{topic:{id:"887",title:"Bioremediation",slug:"bioremediation",parent:{id:"146",title:"Waste Management",slug:"environmental-sciences-waste-management"},numberOfBooks:1,numberOfSeries:0,numberOfAuthorsAndEditors:5,numberOfWosCitations:23,numberOfCrossrefCitations:21,numberOfDimensionsCitations:49,videoUrl:null,fallbackUrl:null,description:null},booksByTopicFilter:{topicId:"887",sort:"-publishedDate",limit:12,offset:0},booksByTopicCollection:[{type:"book",id:"8796",title:"Environmental Chemistry and Recent Pollution Control Approaches",subtitle:null,isOpenForSubmission:!1,hash:"413211c08d7fafecdcaca36f521d4cd6",slug:"environmental-chemistry-and-recent-pollution-control-approaches",bookSignature:"Hugo Saldarriaga-Noreña, Mario Alfonso Murillo-Tovar, Robina Farooq, Rajendra Dongre and Sara Riaz",coverURL:"https://cdn.intechopen.com/books/images_new/8796.jpg",editedByType:"Edited by",editors:[{id:"255072",title:"Dr.",name:"Hugo",middleName:null,surname:"Albeiro Saldarriaga Noreña",slug:"hugo-albeiro-saldarriaga-norena",fullName:"Hugo Albeiro Saldarriaga Noreña"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}}],booksByTopicTotal:1,seriesByTopicCollection:[],seriesByTopicTotal:0,mostCitedChapters:[{id:"65862",doi:"10.5772/intechopen.84777",title:"Mycoremediation in Soil",slug:"mycoremediation-in-soil",totalDownloads:1896,totalCrossrefCites:6,totalDimensionsCites:13,abstract:"The chapter reviews the most important researches on the use of micro- and macrofungi in the bioremediation of contaminated soils. In particular, the main classes of soil pollutants in Europe (heavy metals, mineral oils, polycyclic aromatic hydrocarbons (PAHs), monoaromatic hydrocarbons, phenols and chlorinated hydrocarbons (CHCs)), together with the emerging contaminants (i.e. endocrine-disrupting chemicals (EDCs) and pharmaceutical-personal care products (PPCPs)) are considered. A description of the fungal species (saprotrophic and biotrophic basidiomycetes) and biodegradative extracellular (laccases and class II peroxidases) and intracellular (cytochrome P450 monooxygenases and glutathione transferases) enzyme classes is reported. Moreover, the chemical-physical parameters that influence the biodegradation process are examined, and the biostimulation and bioaugmentation strategies are described. A specific attention is paid to the microcosm studies, at the laboratory scale, which are an essential approach to evaluate the feasibility of a biodegradation process.",book:{id:"8796",slug:"environmental-chemistry-and-recent-pollution-control-approaches",title:"Environmental Chemistry and Recent Pollution Control Approaches",fullTitle:"Environmental Chemistry and Recent Pollution Control Approaches"},signatures:"Francesca Bosco and Chiara Mollea",authors:[{id:"93865",title:"Dr.",name:"Francesca",middleName:null,surname:"Bosco",slug:"francesca-bosco",fullName:"Francesca Bosco"},{id:"96159",title:"Dr.",name:"Chiara",middleName:null,surname:"Mollea",slug:"chiara-mollea",fullName:"Chiara Mollea"}]},{id:"68347",doi:"10.5772/intechopen.88339",title:"Bioremediation of Heavy Metals",slug:"bioremediation-of-heavy-metals",totalDownloads:1482,totalCrossrefCites:4,totalDimensionsCites:9,abstract:"Exposure to lead (Pb), zinc (Zn), cadmium (Cd), copper (Cu), and selenite (SeO3−2) consider the main heavy metals that threat human health. These heavy metals can interfere with the function of vital cellular components. Soil heavy metal contamination represents risks to humans and the ecosystem through drinking of contaminated groundwater, direct ingestion or the food chain, and reduction in food quality. Bioremediation means cleanup of polluted environment via transformation of toxic heavy metals into less toxic form by microbes or its enzymes. Otherwise, bioremediation by microbes has limitations like production of toxic metabolites. The efflux of metal ions outside the cell, biosorption to the cell walls and entrapment in extracellular capsules, precipitation, and reduction of the heavy metal ions to a less toxic state are mechanisms to metals’ resistance.",book:{id:"8796",slug:"environmental-chemistry-and-recent-pollution-control-approaches",title:"Environmental Chemistry and Recent Pollution Control Approaches",fullTitle:"Environmental Chemistry and Recent Pollution Control Approaches"},signatures:"Medhat Rehan and Abdullah S. Alsohim",authors:[{id:"175766",title:"Dr.",name:"Medhat",middleName:null,surname:"Rehan",slug:"medhat-rehan",fullName:"Medhat Rehan"}]},{id:"68268",doi:"10.5772/intechopen.88207",title:"Arsenic Phytoremediation: Finally a Feasible Approach in the Near Future",slug:"arsenic-phytoremediation-finally-a-feasible-approach-in-the-near-future",totalDownloads:1081,totalCrossrefCites:2,totalDimensionsCites:7,abstract:"Arsenic, a class-1 carcinogenic, is a ubiquitous metalloid found in the atmosphere, soils, natural waters, and organisms. The World Health Organization (WHO) estimates that hundred million people worldwide might be chronically exposed to arsenic in drinking water at concentrations above the safety standard. Conventionally applied techniques to remove arsenic species show low removal efficiency, high operational costs, and high-energy requirements. The biological methods, especially phytoremediation, could be cost-effective for protecting human health and the environment from toxic metal contamination. Plants, as sessile organisms, have developed an extraordinary capacity to tolerate arsenic through three main strategies: uptake repression, sequestration into the vacuole, or extrusion. Therefore, arsenic perception and tolerance require a coordinated response that involves arsenic transporters, extrusion pumps, vacuole transporters, and the activation of the phytochelatin biosynthetic pathway. For phytoremediation to become a feasible strategy for arsenic removal from contaminated sites, it is essential to completely understand the molecular mechanisms of arsenic uptake, extrusion, and sequestration, as well as how this response is coordinated. The new genome-wide technologies provide a unique opportunity to understand the molecular mechanisms underlying arsenic perception and accumulation in plants that will open up new possibilities for phytoremediation of arsenic-contaminated waters and soils.",book:{id:"8796",slug:"environmental-chemistry-and-recent-pollution-control-approaches",title:"Environmental Chemistry and Recent Pollution Control Approaches",fullTitle:"Environmental Chemistry and Recent Pollution Control Approaches"},signatures:"Cristian Mateo, Micaela Navarro, Cristina Navarro and Antonio Leyva",authors:null},{id:"69539",doi:"10.5772/intechopen.84208",title:"Greenhouse Gas Emissions of Agriculture: A Comparative Analysis",slug:"greenhouse-gas-emissions-of-agriculture-a-comparative-analysis",totalDownloads:729,totalCrossrefCites:1,totalDimensionsCites:6,abstract:"Greenhouse gas emissions are accounted by greenhouse gases inventories, which must be produced by common accounting rules, called Guidelines, which are endorsed by the United Nations Framework Convention on Climate Change (UNFCCC). These inventories are fundamental to analyze the impact of agriculture on emissions, and as example of the difficulty and complexity of implementation of the guidelines, a comparative study is made on emissions from Agricultural Soil Management (CRF category 3D source) utilizing biological nitrogen fixation. The analysis carried out for the N2O emissions under this section of the agrarian sector of Spain, Europe, New Zealand, Canada and the USA, inventories and national communications from Argentina and Brazil permit to observe the wide spectrum of approaches and the importance of the management of the accounting rules to be used mainly if we need that the impact of mitigation policies are captured in a direct way by the inventory. New technologies could introduce changes in the rules and can be utilized for reducing emissions, and examples are also analyzed.",book:{id:"8796",slug:"environmental-chemistry-and-recent-pollution-control-approaches",title:"Environmental Chemistry and Recent Pollution Control Approaches",fullTitle:"Environmental Chemistry and Recent Pollution Control Approaches"},signatures:"Dionisio Rodríguez",authors:null},{id:"65795",doi:"10.5772/intechopen.84548",title:"Progressive Research in the Molecular Mechanisms of Chronic Fluorosis",slug:"progressive-research-in-the-molecular-mechanisms-of-chronic-fluorosis",totalDownloads:1108,totalCrossrefCites:2,totalDimensionsCites:3,abstract:"Long-term excessive intake of fluoride (F) leads to chronic fluorosis, resulting in dental fluorosis and skeletal fluorosis. Chronic exposure to high doses of fluoride can also cause damage to soft tissues, especially when it passes through the blood-brain, blood-testis, and blood-placenta barrier, causing damage to the corresponding tissues. Fluorosis has become a public health problem in some countries or regions around the world. Understanding the pathogenesis of fluorosis is very important. Although the exact mechanism of fluorosis has not been fully elucidated, various mechanisms of fluoride-induced toxicity have been proposed. In this chapter, we will introduce the research progress of the mechanism of fluorosis, focusing on dental fluorosis, skeletal fluorosis, nervous and reproductive system toxicity, and influential factors related to fluoride toxicity (i.e., genetic background, co-exposure with other element). In addition, the application of proteomics and metabolomics in the study of the pathogenesis of fluorosis is also introduced. Currently, there is still no specific treatment for fluorosis. However, since fluorosis is caused by excessive intake of fluoride, avoiding excessive fluoride intake is the critical measure to prevent the disease. In endemic regions, health education and supplement diet with vitamins C, D and E, and calcium and antioxidant compounds are important.",book:{id:"8796",slug:"environmental-chemistry-and-recent-pollution-control-approaches",title:"Environmental Chemistry and Recent Pollution Control Approaches",fullTitle:"Environmental Chemistry and Recent Pollution Control Approaches"},signatures:"Liming Shen, Chengyun Feng, Sijian Xia, Yan Wei, Hua Zhang, Danqing Zhao, Fang Yao, Xukun Liu, Yuxi Zhao and Huajie Zhang",authors:null}],mostDownloadedChaptersLast30Days:[{id:"68347",title:"Bioremediation of Heavy Metals",slug:"bioremediation-of-heavy-metals",totalDownloads:1472,totalCrossrefCites:4,totalDimensionsCites:8,abstract:"Exposure to lead (Pb), zinc (Zn), cadmium (Cd), copper (Cu), and selenite (SeO3−2) consider the main heavy metals that threat human health. These heavy metals can interfere with the function of vital cellular components. Soil heavy metal contamination represents risks to humans and the ecosystem through drinking of contaminated groundwater, direct ingestion or the food chain, and reduction in food quality. Bioremediation means cleanup of polluted environment via transformation of toxic heavy metals into less toxic form by microbes or its enzymes. Otherwise, bioremediation by microbes has limitations like production of toxic metabolites. The efflux of metal ions outside the cell, biosorption to the cell walls and entrapment in extracellular capsules, precipitation, and reduction of the heavy metal ions to a less toxic state are mechanisms to metals’ resistance.",book:{id:"8796",slug:"environmental-chemistry-and-recent-pollution-control-approaches",title:"Environmental Chemistry and Recent Pollution Control Approaches",fullTitle:"Environmental Chemistry and Recent Pollution Control Approaches"},signatures:"Medhat Rehan and Abdullah S. Alsohim",authors:[{id:"175766",title:"Dr.",name:"Medhat",middleName:null,surname:"Rehan",slug:"medhat-rehan",fullName:"Medhat Rehan"}]},{id:"68504",title:"Biological Remediation of Phenoxy Herbicide-Contaminated Environments",slug:"biological-remediation-of-phenoxy-herbicide-contaminated-environments",totalDownloads:989,totalCrossrefCites:1,totalDimensionsCites:1,abstract:"Phenoxy herbicides such as 2,4-dichlorophenoxyacetic acid (2,4-D) and 2-methyl-4-chlorophenoxyacetic acid (MCPA) are widely used in agriculture to control broadleaf weeds. Although their application has helped to increase the yield and value of crops, they are also recognized as a source of emerging environmental contamination. Their extensive use may promote contamination of soil, surface, and groundwater and lead to increased inhibition of plant development and soil toxicity. Hence, there is an urgent need to identify nature-based methods based on appropriate biological remediation techniques, such as bio-, phyto-, and rhizoremediation, that enable the effective elimination of phenoxy herbicides from the environment. Bioremediation typically harnesses microorganisms and their ability to utilize recalcitrant contaminants in complete degradation processes, while phytoremediation is a cost-effective, environmentally friendly strategy that uses plants to transform or mineralize xenobiotics to less or nontoxic compounds. Rhizoremediation (microbe-assisted phytoremediation), in turn, is based on the interactions between plant roots, root exudates enriched in plant secondary metabolites, soil, and microorganisms. Based on the above, this chapter presents current knowledge on the properties of phenoxy herbicides, as well as the concentrations detected in the environment, their toxicity, and the biological remediation techniques used for safe removal of the compounds of interest from the environment.",book:{id:"8796",slug:"environmental-chemistry-and-recent-pollution-control-approaches",title:"Environmental Chemistry and Recent Pollution Control Approaches",fullTitle:"Environmental Chemistry and Recent Pollution Control Approaches"},signatures:"Magdalena Urbaniak and Elżbieta Mierzejewska",authors:null},{id:"70249",title:"Bioremediation of Petroleum-Contaminated Soil",slug:"bioremediation-of-petroleum-contaminated-soil",totalDownloads:1099,totalCrossrefCites:1,totalDimensionsCites:2,abstract:"Petroleum is not only an important energy resource to boost the economic development, but also a major pollutant of the soil. The toxicity of petroleum can cause a negative impact on ecosystem, as well as the negative effects related to its carcinogenic for both animals and humans. In the present study, bioremediation as an alternative tool for restoration petroleum-contaminated soils was set forth, and focusing on the phytoremediatior plants, petroleum-biodegradable microorganism are responsible for the biodegradation of petroleum. In the present chapter, the bioremediation of petroleum-contaminated soil, as well as the influence factors of bioremediation are elaborated based on the recently studies. This will provide a novel understanding on bioremediation and help improve strategies for petroleum-contaminated soils remediation.",book:{id:"8796",slug:"environmental-chemistry-and-recent-pollution-control-approaches",title:"Environmental Chemistry and Recent Pollution Control Approaches",fullTitle:"Environmental Chemistry and Recent Pollution Control Approaches"},signatures:"Shuisen Chen and Ming Zhong",authors:null},{id:"63252",title:"Adsorptive Removal of Fluoride onto Different Waste Materials: Orange Juice Residue, Waste Seaweed, and Spent Cation-Exchange Resin",slug:"adsorptive-removal-of-fluoride-onto-different-waste-materials-orange-juice-residue-waste-seaweed-and",totalDownloads:1069,totalCrossrefCites:0,totalDimensionsCites:0,abstract:"To effectively use waste materials in developing a sustainable society, adsorbents for removing trace or low concentrations of fluoride, which is difficult to be removed by conventional techniques, were prepared from three waste materials: orange juice residue, waste sea weed, and spent cation exchange resin. These adsorbents were loaded with tri- or tetravalent metal ions such as iron(III) and zirconium(IV), of which zirconium(IV) was found to be most suitable as the loaded metal ion. From the pH effect on adsorption, the adsorption mechanism was inferred, and adsorption and desorption was found to be controlled by changing pH values. The maximum adsorption capacities on zirconium(IV)-loaded orange juice residue, waste sea weed, and spent cation exchange resin were evaluated as 33.1, 18.1, and 37.6 mg/g, respectively, which were higher than those of most other adsorbents reported in literatures. They exhibited high selectivity for fluoride over other anionic species and high durability. Tests to remove trace concentrations of fluoride from actual waste plating solutions revealed that the concentration could be reduced below the acceptable level using small amounts of these adsorbents, i.e., it was reduced lower than 1.5 mg/dm3 (WHO standard) by adding 1 g of the adsorbents into 1 dm3 test solution.",book:{id:"8796",slug:"environmental-chemistry-and-recent-pollution-control-approaches",title:"Environmental Chemistry and Recent Pollution Control Approaches",fullTitle:"Environmental Chemistry and Recent Pollution Control Approaches"},signatures:"Katsutoshi Inoue, Hari Paudyal, Hidetaka Kawakita and Keisuke Ohto",authors:null},{id:"63393",title:"Characterization of the Youssoufia-Morocco-MineFluoride-Contaminated Water and Their Detrimental Effects on Human Health",slug:"characterization-of-the-youssoufia-morocco-minefluoride-contaminated-water-and-their-detrimental-eff",totalDownloads:829,totalCrossrefCites:0,totalDimensionsCites:1,abstract:"In Youssoufia, the second phosphate mining center of our country (Morocco), the drinking water needs of the rural population are of underground origins. Indeed, most of Youssoufia’s rural areas feed on traditional wells. The main purpose of this chapter is to evaluate the degree of contamination of mine water along the pumping canal by fluoride. Wells located near this channel were also analyzed to see the influence of the existence of black phosphate in this region on these wells. At the end of this analytical part, it is obvious to conclude that the dewatering waters of the black phosphate mines of Youssoufia, known as dewatering water along the canal, contain significant fluoride concentrations in the order of 3–4 mg/l on average and the waters of the wells located near this canal have fluoride concentrations higher than the standard recommended by the National Office of Drinking Water in Morocco and the World Health Organization which is 1.5 mg/l. Indeed, a number of residents residing in Youssoufia suffer from fluorosis.",book:{id:"8796",slug:"environmental-chemistry-and-recent-pollution-control-approaches",title:"Environmental Chemistry and Recent Pollution Control Approaches",fullTitle:"Environmental Chemistry and Recent Pollution Control Approaches"},signatures:"Moufti Ahmed",authors:null}],onlineFirstChaptersFilter:{topicId:"887",limit:6,offset:0},onlineFirstChaptersCollection:[],onlineFirstChaptersTotal:0},preDownload:{success:null,errors:{}},subscriptionForm:{success:null,errors:{}},aboutIntechopen:{},privacyPolicy:{},peerReviewing:{},howOpenAccessPublishingWithIntechopenWorks:{},sponsorshipBooks:{sponsorshipBooks:[],offset:0,limit:8,total:null},allSeries:{pteSeriesList:[{id:"14",title:"Artificial Intelligence",numberOfPublishedBooks:9,numberOfPublishedChapters:87,numberOfOpenTopics:6,numberOfUpcomingTopics:0,issn:"2633-1403",doi:"10.5772/intechopen.79920",isOpenForSubmission:!0},{id:"7",title:"Biomedical Engineering",numberOfPublishedBooks:12,numberOfPublishedChapters:98,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2631-5343",doi:"10.5772/intechopen.71985",isOpenForSubmission:!0}],lsSeriesList:[{id:"11",title:"Biochemistry",numberOfPublishedBooks:27,numberOfPublishedChapters:287,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2632-0983",doi:"10.5772/intechopen.72877",isOpenForSubmission:!0},{id:"25",title:"Environmental Sciences",numberOfPublishedBooks:1,numberOfPublishedChapters:9,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2754-6713",doi:"10.5772/intechopen.100362",isOpenForSubmission:!0},{id:"10",title:"Physiology",numberOfPublishedBooks:11,numberOfPublishedChapters:139,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2631-8261",doi:"10.5772/intechopen.72796",isOpenForSubmission:!0}],hsSeriesList:[{id:"3",title:"Dentistry",numberOfPublishedBooks:8,numberOfPublishedChapters:129,numberOfOpenTopics:0,numberOfUpcomingTopics:2,issn:"2631-6218",doi:"10.5772/intechopen.71199",isOpenForSubmission:!1},{id:"6",title:"Infectious Diseases",numberOfPublishedBooks:13,numberOfPublishedChapters:107,numberOfOpenTopics:3,numberOfUpcomingTopics:1,issn:"2631-6188",doi:"10.5772/intechopen.71852",isOpenForSubmission:!0},{id:"13",title:"Veterinary Medicine and Science",numberOfPublishedBooks:10,numberOfPublishedChapters:103,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2632-0517",doi:"10.5772/intechopen.73681",isOpenForSubmission:!0}],sshSeriesList:[{id:"22",title:"Business, Management and Economics",numberOfPublishedBooks:1,numberOfPublishedChapters:12,numberOfOpenTopics:2,numberOfUpcomingTopics:1,issn:"2753-894X",doi:"10.5772/intechopen.100359",isOpenForSubmission:!0},{id:"23",title:"Education and Human Development",numberOfPublishedBooks:0,numberOfPublishedChapters:0,numberOfOpenTopics:2,numberOfUpcomingTopics:0,issn:null,doi:"10.5772/intechopen.100360",isOpenForSubmission:!1},{id:"24",title:"Sustainable Development",numberOfPublishedBooks:0,numberOfPublishedChapters:11,numberOfOpenTopics:4,numberOfUpcomingTopics:1,issn:null,doi:"10.5772/intechopen.100361",isOpenForSubmission:!0}],testimonialsList:[{id:"6",text:"It is great to work with the IntechOpen to produce a worthwhile collection of research that also becomes a great educational resource and guide for future research endeavors.",author:{id:"259298",name:"Edward",surname:"Narayan",institutionString:null,profilePictureURL:"https://mts.intechopen.com/storage/users/259298/images/system/259298.jpeg",slug:"edward-narayan",institution:{id:"3",name:"University of Queensland",country:{id:null,name:"Australia"}}}},{id:"13",text:"The collaboration with and support of the technical staff of IntechOpen is fantastic. 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He is a research professor at the Faculty of Veterinary Medicine and Animal Husbandry, Autonomous University of the State of Mexico. He is also a level-2 researcher. He received a Fulbright-Garcia Robles fellowship for a postdoctoral stay at the US Dairy Forage Research Center, Madison, Wisconsin, USA in 2008–2009. He received grants from Alianza del Pacifico for a stay at the University of Magallanes, Chile, in 2014, and from Consejo Nacional de Ciencia y Tecnología (CONACyT) to work in the Food and Agriculture Organization’s Animal Production and Health Division (AGA), Rome, Italy, in 2014–2015. He has collaborated with researchers from different countries and published ninety-eight journal articles. He teaches various degree courses in zootechnics, sheep production, and agricultural sciences and natural resources.\n\nDr. Ronquillo’s research focuses on the evaluation of sustainable animal diets (StAnD), using native resources of the region, decreasing carbon footprint, and applying meta-analysis and mathematical models for a better understanding of animal production.",institutionString:null,institution:{name:"Universidad Autónoma del Estado de México",institutionURL:null,country:{name:"Mexico"}}},editorTwo:null,editorThree:null},{id:"28",title:"Animal Reproductive Biology and Technology",coverUrl:"https://cdn.intechopen.com/series_topics/covers/28.jpg",isOpenForSubmission:!0,editor:{id:"177225",title:"Prof.",name:"Rosa Maria Lino Neto",middleName:null,surname:"Pereira",slug:"rosa-maria-lino-neto-pereira",fullName:"Rosa Maria Lino Neto Pereira",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bS9wkQAC/Profile_Picture_1624519982291",biography:"Rosa Maria Lino Neto Pereira (DVM, MsC, PhD and) is currently a researcher at the Genetic Resources and Biotechnology Unit of the National Institute of Agrarian and Veterinarian Research (INIAV, Portugal). 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She obtained her Ph.D. in Veterinary Sciences from the University of Trás-os-Montes e Alto Douro, Portugal. After almost 32 years of teaching at the University of Trás-os-Montes and Alto Douro, she recently moved to the University of Évora, Department of Veterinary Medicine, where she teaches in the field of Animal Reproduction and Clinics. Her primary research areas include the molecular markers of the endometrial cycle and the embryo–maternal interaction, including oxidative stress and the reproductive physiology and disorders of sexual development, besides the molecular determinants of male and female fertility. She often supervises students preparing their master's or doctoral theses. 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He is also Member of the Laboratory of genetic, animal and feed resource and member of Animal science Department of INAT. He graduated from Higher School of Agriculture of Mateur, University of Carthage, in 2002 and completed his masters in 2006. Dr. M’HAMDI completed his PhD thesis in Genetic welfare indicators of dairy cattle at Higher Institute of Agronomy of Chott-Meriem, University of Sousse, in 2011. He worked as assistant Professor of Genetic, biostatistics and animal biotechnology at INAT since 2013.",institutionString:null,institution:null}]},{type:"book",id:"8460",title:"Reproductive Biology and Technology in Animals",subtitle:null,coverURL:"https://cdn.intechopen.com/books/images_new/8460.jpg",slug:"reproductive-biology-and-technology-in-animals",publishedDate:"April 15th 2020",editedByType:"Edited by",bookSignature:"Juan Carlos Gardón Poggi and Katy Satué Ambrojo",hash:"32ef5fe73998dd723d308225d756fa1e",volumeInSeries:4,fullTitle:"Reproductive Biology and Technology in Animals",editors:[{id:"251314",title:"Dr.",name:"Juan Carlos",middleName:null,surname:"Gardón",slug:"juan-carlos-gardon",fullName:"Juan Carlos Gardón",profilePictureURL:"https://mts.intechopen.com/storage/users/251314/images/system/251314.jpeg",biography:"Juan Carlos Gardón Poggi received University degree from the Faculty of Agrarian Science in Argentina, in 1983. Also he received Masters Degree and PhD from Córdoba University, Spain. He is currently a Professor at the Catholic University of Valencia San Vicente Mártir, at the Department of Medicine and Animal Surgery. He teaches diverse courses in the field of Animal Reproduction and he is the Director of the Veterinary Farm. He also participates in academic postgraduate activities at the Veterinary Faculty of Murcia University, Spain. His research areas include animal physiology, physiology and biotechnology of reproduction either in males or females, the study of gametes under in vitro conditions and the use of ultrasound as a complement to physiological studies and development of applied biotechnologies. 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He received his Ph.D. in Molecular Biology with his thesis “Genetic variability of the tick-borne encephalitis virus in natural foci of Novosibirsk city and its suburbs.” His primary field is molecular virology with research emphasis on vector-borne viruses, especially tick-borne encephalitis virus, Kemerovo virus and Omsk hemorrhagic fever virus, rabies virus, molecular genetics, biology, and epidemiology of virus pathogens.",institutionString:"Russian Academy of Sciences",institution:{name:"Russian Academy of Sciences",country:{name:"Russia"}}},{id:"310962",title:"Dr.",name:"Amlan",middleName:"Kumar",surname:"Patra",slug:"amlan-patra",fullName:"Amlan Patra",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/310962/images/system/310962.jpg",biography:"Amlan K. Patra, FRSB, obtained a Ph.D. in Animal Nutrition from Indian Veterinary Research Institute, India, in 2002. He is currently an associate professor at West Bengal University of Animal and Fishery Sciences. He has more than twenty years of research and teaching experience. He held previous positions at the American Institute for Goat Research, The Ohio State University, Columbus, USA, and Free University of Berlin, Germany. His research focuses on animal nutrition, particularly ruminants and poultry nutrition, gastrointestinal electrophysiology, meta-analysis and modeling in nutrition, and livestock–environment interaction. He has authored around 175 articles in journals, book chapters, and proceedings. Dr. Patra serves on the editorial boards of several reputed journals.",institutionString:null,institution:{name:"West Bengal University of Animal and Fishery Sciences",country:{name:"India"}}},{id:"53998",title:"Prof.",name:"László",middleName:null,surname:"Babinszky",slug:"laszlo-babinszky",fullName:"László Babinszky",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/53998/images/system/53998.png",biography:"László Babinszky is Professor Emeritus, Department of Animal Nutrition Physiology, University of Debrecen, Hungary. He has also worked in the Department of Animal Nutrition, University of Wageningen, Netherlands; the Institute for Livestock Feeding and Nutrition (IVVO), Lelystad, Netherlands; the Agricultural University of Vienna (BOKU); the Institute for Animal Breeding and Nutrition, Austria; and the Oscar Kellner Research Institute for Animal Nutrition, Rostock, Germany. In 1992, Dr. Babinszky obtained a Ph.D. in Animal Nutrition from the University of Wageningen. His main research areas are swine and poultry nutrition. He has authored more than 300 publications (papers, book chapters) and edited four books and fourteen international conference proceedings.",institutionString:"University of Debrecen",institution:{name:"University of Debrecen",country:{name:"Hungary"}}},{id:"201830",title:"Dr.",name:"Fernando",middleName:"Sanchez",surname:"Davila",slug:"fernando-davila",fullName:"Fernando Davila",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/201830/images/5017_n.jpg",biography:"I am a professor at UANL since 1988. My research lines are the development of reproductive techniques in small ruminants. We also conducted research on sexual and social behavior in males.\nI am Mexican and study my professional career as an engineer in agriculture and animal science at UANL. Then take a masters degree in science in Germany (Animal breeding). Take a doctorate in animal science at the UANL.",institutionString:null,institution:{name:"Universidad Autónoma de Nuevo León",country:{name:"Mexico"}}},{id:"309250",title:"Dr.",name:"Miguel",middleName:null,surname:"Quaresma",slug:"miguel-quaresma",fullName:"Miguel Quaresma",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/309250/images/9059_n.jpg",biography:"Miguel Nuno Pinheiro Quaresma was born on May 26, 1974 in Dili, Timor Island. He is married with two children: a boy and a girl, and he is a resident in Vila Real, Portugal. He graduated in Veterinary Medicine in August 1998 and obtained his Ph.D. degree in Veterinary Sciences -Clinical Area in February 2015, both from the University of Trás-os-Montes e Alto Douro. He is currently enrolled in the Alternative Residency of the European College of Animal Reproduction. He works as a Senior Clinician at the Veterinary Teaching Hospital of UTAD (HVUTAD) with a role in clinical activity in the area of livestock and equine species as well as to support teaching and research in related areas. He teaches as an Invited Professor in Reproduction Medicine I and II of the Master\\'s in Veterinary Medicine degree at UTAD. Currently, he holds the position of Chairman of the Portuguese Buiatrics Association. He is a member of the Consultive Group on Production Animals of the OMV. He has 19 publications in indexed international journals (ISIS), as well as over 60 publications and oral presentations in both Portuguese and international journals and congresses.",institutionString:"University of Trás-os-Montes and Alto Douro",institution:{name:"University of Trás-os-Montes and Alto Douro",country:{name:"Portugal"}}},{id:"38652",title:"Prof.",name:"Rita",middleName:null,surname:"Payan-Carreira",slug:"rita-payan-carreira",fullName:"Rita Payan-Carreira",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRiFPQA0/Profile_Picture_1614601496313",biography:"Rita Payan Carreira earned her Veterinary Degree from the Faculty of Veterinary Medicine in Lisbon, Portugal, in 1985. She obtained her Ph.D. in Veterinary Sciences from the University of Trás-os-Montes e Alto Douro, Portugal. After almost 32 years of teaching at the University of Trás-os-Montes and Alto Douro, she recently moved to the University of Évora, Department of Veterinary Medicine, where she teaches in the field of Animal Reproduction and Clinics. Her primary research areas include the molecular markers of the endometrial cycle and the embryo–maternal interaction, including oxidative stress and the reproductive physiology and disorders of sexual development, besides the molecular determinants of male and female fertility. She often supervises students preparing their master's or doctoral theses. She is also a frequent referee for various journals.",institutionString:null,institution:{name:"University of Évora",country:{name:"Portugal"}}},{id:"283019",title:"Dr.",name:"Oudessa",middleName:null,surname:"Kerro Dego",slug:"oudessa-kerro-dego",fullName:"Oudessa Kerro Dego",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/283019/images/system/283019.png",biography:"Dr. Kerro Dego is a veterinary microbiologist with training in veterinary medicine, microbiology, and anatomic pathology. Dr. Kerro Dego is an assistant professor of dairy health in the department of animal science, the University of Tennessee, Institute of Agriculture, Knoxville, Tennessee. He received his D.V.M. (1997), M.S. (2002), and Ph.D. (2008) degrees in Veterinary Medicine, Animal Pathology and Veterinary Microbiology from College of Veterinary Medicine, Addis Ababa University, Ethiopia; College of Veterinary Medicine, Utrecht University, the Netherlands and Western College of Veterinary Medicine, University of Saskatchewan, Canada respectively. He did his Postdoctoral training in microbial pathogenesis (2009 - 2015) in the Department of Animal Science, the University of Tennessee, Institute of Agriculture, Knoxville, Tennessee. Dr. Kerro Dego’s research focuses on the prevention and control of infectious diseases of farm animals, particularly mastitis, improving dairy food safety, and mitigation of antimicrobial resistance. Dr. Kerro Dego has extensive experience in studying the pathogenesis of bacterial infections, identification of virulence factors, and vaccine development and efficacy testing against major bacterial mastitis pathogens. Dr. Kerro Dego conducted numerous controlled experimental and field vaccine efficacy studies, vaccination, and evaluation of immunological responses in several species of animals, including rodents (mice) and large animals (bovine and ovine).",institutionString:"University of Tennessee at Knoxville",institution:{name:"University of Tennessee at Knoxville",country:{name:"United States of America"}}},{id:"251314",title:"Dr.",name:"Juan Carlos",middleName:null,surname:"Gardón",slug:"juan-carlos-gardon",fullName:"Juan Carlos Gardón",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/251314/images/system/251314.jpeg",biography:"Juan Carlos Gardón Poggi received University degree from the Faculty of Agrarian Science in Argentina, in 1983. Also he received Masters Degree and PhD from Córdoba University, Spain. He is currently a Professor at the Catholic University of Valencia San Vicente Mártir, at the Department of Medicine and Animal Surgery. He teaches diverse courses in the field of Animal Reproduction and he is the Director of the Veterinary Farm. He also participates in academic postgraduate activities at the Veterinary Faculty of Murcia University, Spain. His research areas include animal physiology, physiology and biotechnology of reproduction either in males or females, the study of gametes under in vitro conditions and the use of ultrasound as a complement to physiological studies and development of applied biotechnologies. Routinely, he supervises students preparing their doctoral, master thesis or final degree projects.",institutionString:"Catholic University of Valencia San Vicente Mártir, Spain",institution:null},{id:"125292",title:"Dr.",name:"Katy",middleName:null,surname:"Satué Ambrojo",slug:"katy-satue-ambrojo",fullName:"Katy Satué Ambrojo",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/125292/images/system/125292.jpeg",biography:"Katy Satué Ambrojo received her Veterinary Medicine degree, Master degree in Equine Technology and doctorate in Veterinary Medicine from the Faculty of Veterinary, CEU-Cardenal Herrera University in Valencia, Spain. She is a Full Professor at the Department of Medicine and Animal Surgery at the same University. She developed her research activity in the field of Endocrinology, Hematology, Biochemistry and Immunology of horses. She is a scientific reviewer of several international journals : American Journal of Obstetrics and Gynecology, Comparative Clinical Pathology, Veterinary Clinical Pathology, Journal of Equine Veterinary Science, Reproduction in Domestic Animals, Research Veterinary Science, Brazilian Journal of Medical and Biological Research, Livestock Production Science and Theriogenology. Since 2014, she has been the Head of the Clinical Analysis Laboratory of the Hospital Clínico Veterinario from the Faculty of Veterinary, CEU-Cardenal Herrera University.",institutionString:"CEU-Cardenal Herrera University",institution:{name:"CEU Cardinal Herrera University",country:{name:"Spain"}}},{id:"309529",title:"Dr.",name:"Albert",middleName:null,surname:"Rizvanov",slug:"albert-rizvanov",fullName:"Albert Rizvanov",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/309529/images/9189_n.jpg",biography:'Albert A. Rizvanov is a Professor and Director of the Center for Precision and Regenerative Medicine at the Institute of Fundamental Medicine and Biology, Kazan Federal University (KFU), Russia. He is the Head of the Center of Excellence “Regenerative Medicine” and Vice-Director of Strategic Academic Unit \\"Translational 7P Medicine\\". Albert completed his Ph.D. at the University of Nevada, Reno, USA and Dr.Sci. at KFU. He is a corresponding member of the Tatarstan Academy of Sciences, Russian Federation. Albert is an author of more than 300 peer-reviewed journal articles and 22 patents. He has supervised 11 Ph.D. and 2 Dr.Sci. dissertations. Albert is the Head of the Dissertation Committee on Biochemistry, Microbiology, and Genetics at KFU.\nORCID https://orcid.org/0000-0002-9427-5739\nWebsite https://kpfu.ru/Albert.Rizvanov?p_lang=2',institutionString:"Kazan Federal University",institution:{name:"Kazan Federal University",country:{name:"Russia"}}},{id:"210551",title:"Dr.",name:"Arbab",middleName:null,surname:"Sikandar",slug:"arbab-sikandar",fullName:"Arbab Sikandar",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/210551/images/system/210551.jpg",biography:"Dr. Arbab Sikandar, PhD, M. Phil, DVM was born on April 05, 1981. He is currently working at the College of Veterinary & Animal Sciences as an Assistant Professor. He previously worked as a lecturer at the same University. \nHe is a Member/Secretory of Ethics committee (No. CVAS-9377 dated 18-04-18), Member of the QEC committee CVAS, Jhang (Regr/Gen/69/873, dated 26-10-2017), Member, Board of studies of Department of Basic Sciences (No. CVAS. 2851 Dated. 12-04-13, and No. CVAS, 9024 dated 20/11/17), Member of Academic Committee, CVAS, Jhang (No. CVAS/2004, Dated, 25-08-12), Member of the technical committee (No. CVAS/ 4085, dated 20,03, 2010 till 2016).\n\nDr. Arbab Sikandar contributed in five days hands-on-training on Histopathology at the Department of Pathology, UVAS from 12-16 June 2017. He received a Certificate of appreciation for contributions for Popularization of Science and Technology in the Society on 17-11-15. He was the resource person in the lecture series- ‘scientific writing’ at the Department of Anatomy and Histology, UVAS, Lahore on 29th October 2015. He won a full fellowship as a principal candidate for the year 2015 in the field of Agriculture, EICA, Egypt with ref. to the Notification No. 12(11) ACS/Egypt/2014 from 10 July 2015 to 25th September 2015.; he received a grant of Rs. 55000/- as research incentives from Director, Advanced Studies and Research, UVAS, Lahore upon publications of research papers in IF Journals (DR/215, dated 19-5-2014.. He obtained his PhD by winning a HEC Pakistan indigenous Scholarship, ‘Ph.D. fellowship for 5000 scholars – Phase II’ (2av1-147), 17-6/HEC/HRD/IS-II/12, November 15, 2012. \n\nDr. Sikandar is a member of numerous societies: Registered Veterinary Medical Practitioner (life member) and Registered Veterinary Medical Faculty of Pakistan Veterinary Medical Council. The Registration code of PVMC is RVMP/4298 and RVMF/ 0102.; Life member of the University of Veterinary and Animal Sciences, Lahore, Alumni Association with S# 664, dated: 6-4-12. ; Member 'Vets Care Organization Pakistan” with Reference No. VCO-605-149, dated 05-04-06. :Member 'Vet Crescent” (Society of Animal Health and Production), UVAS, Lahore.",institutionString:"University of Veterinary & Animal Science",institution:{name:"University of Veterinary and Animal Sciences",country:{name:"Pakistan"}}},{id:"311663",title:"Dr.",name:"Prasanna",middleName:null,surname:"Pal",slug:"prasanna-pal",fullName:"Prasanna Pal",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/311663/images/13261_n.jpg",biography:null,institutionString:null,institution:{name:"National Dairy Research Institute",country:{name:"India"}}},{id:"202192",title:"Dr.",name:"Catrin",middleName:null,surname:"Rutland",slug:"catrin-rutland",fullName:"Catrin Rutland",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/202192/images/system/202192.png",biography:"Catrin Rutland is an Associate Professor of Anatomy and Developmental Genetics at the University of Nottingham, UK. She obtained a BSc from the University of Derby, England, a master’s degree from Technische Universität München, Germany, and a Ph.D. from the University of Nottingham. She undertook a post-doctoral research fellowship in the School of Medicine before accepting tenure in Veterinary Medicine and Science. Dr. Rutland also obtained an MMedSci (Medical Education) and a Postgraduate Certificate in Higher Education (PGCHE). She is the author of more than sixty peer-reviewed journal articles, twelve books/book chapters, and more than 100 research abstracts in cardiovascular biology and oncology. She is a board member of the European Association of Veterinary Anatomists, Fellow of the Anatomical Society, and Senior Fellow of the Higher Education Academy. 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After a general CertAVP (2015) I gained the designated Certificate in Veterinary Dermatology (2017) after taking the synoptic examination and then applied for the RCVS ADvanced Practitioner status. After that, I completed the Postgraduate Diploma in Veterinary Professional Studies at the University of Liverpool (2018). My main area of work is cross-species veterinary dermatology.",institutionString:null,institution:null},{id:"291226",title:"Dr.",name:"Monica",middleName:null,surname:"Cassel",slug:"monica-cassel",fullName:"Monica Cassel",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/291226/images/8232_n.jpg",biography:'Degree in Biological Sciences at the Federal University of Mato Grosso with scholarship for Scientific Initiation by FAPEMAT (2008/1) and CNPq (2008/2-2009/2): Project \\"Histological evidence of reproductive activity in lizards of the Manso region, Chapada dos Guimarães, Mato Grosso, Brazil\\". Master\\\'s degree in Ecology and Biodiversity Conservation at Federal University of Mato Grosso with a scholarship by CAPES/REUNI program: Project \\"Reproductive biology of Melanorivulus punctatus\\". PhD\\\'s degree in Science (Cell and Tissue Biology Area) \n at University of Sao Paulo with scholarship granted by FAPESP; Project \\"Development of morphofunctional changes in ovary of Astyanax altiparanae Garutti & Britski, 2000 (Teleostei, Characidae)\\". She has experience in Reproduction of vertebrates and Morphology, with emphasis in Cellular Biology and Histology. 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