\\n\\n
Released this past November, the list is based on data collected from the Web of Science and highlights some of the world’s most influential scientific minds by naming the researchers whose publications over the previous decade have included a high number of Highly Cited Papers placing them among the top 1% most-cited.
\\n\\nWe wish to congratulate all of the researchers named and especially our authors on this amazing accomplishment! We are happy and proud to share in their success!
Note: Edited in March 2021
\\n"}]',published:!0,mainMedia:{caption:"Highly Cited",originalUrl:"/media/original/117"}},components:[{type:"htmlEditorComponent",content:'IntechOpen is proud to announce that 191 of our authors have made the Clarivate™ Highly Cited Researchers List for 2020, ranking them among the top 1% most-cited.
\n\nThroughout the years, the list has named a total of 261 IntechOpen authors as Highly Cited. Of those researchers, 69 have been featured on the list multiple times.
\n\n\n\nReleased this past November, the list is based on data collected from the Web of Science and highlights some of the world’s most influential scientific minds by naming the researchers whose publications over the previous decade have included a high number of Highly Cited Papers placing them among the top 1% most-cited.
\n\nWe wish to congratulate all of the researchers named and especially our authors on this amazing accomplishment! We are happy and proud to share in their success!
Note: Edited in March 2021
\n'}],latestNews:[{slug:"webinar-introduction-to-open-science-wednesday-18-may-1-pm-cest-20220518",title:"Webinar: Introduction to Open Science | Wednesday 18 May, 1 PM CEST"},{slug:"step-in-the-right-direction-intechopen-launches-a-portfolio-of-open-science-journals-20220414",title:"Step in the Right Direction: IntechOpen Launches a Portfolio of Open Science Journals"},{slug:"let-s-meet-at-london-book-fair-5-7-april-2022-olympia-london-20220321",title:"Let’s meet at London Book Fair, 5-7 April 2022, Olympia London"},{slug:"50-books-published-as-part-of-intechopen-and-knowledge-unlatched-ku-collaboration-20220316",title:"50 Books published as part of IntechOpen and Knowledge Unlatched (KU) Collaboration"},{slug:"intechopen-joins-the-united-nations-sustainable-development-goals-publishers-compact-20221702",title:"IntechOpen joins the United Nations Sustainable Development Goals Publishers Compact"},{slug:"intechopen-signs-exclusive-representation-agreement-with-lsr-libros-servicios-y-representaciones-s-a-de-c-v-20211123",title:"IntechOpen Signs Exclusive Representation Agreement with LSR Libros Servicios y Representaciones S.A. de C.V"},{slug:"intechopen-expands-partnership-with-research4life-20211110",title:"IntechOpen Expands Partnership with Research4Life"},{slug:"introducing-intechopen-book-series-a-new-publishing-format-for-oa-books-20210915",title:"Introducing IntechOpen Book Series - A New Publishing Format for OA Books"}]},book:{item:{type:"book",id:"2197",leadTitle:null,fullTitle:"Energy Efficiency - The Innovative Ways for Smart Energy, the Future Towards Modern Utilities",title:"Energy Efficiency",subtitle:"The Innovative Ways for Smart Energy, the Future Towards Modern Utilities",reviewType:"peer-reviewed",abstract:"This book is one of the most comprehensive and up-to-date books written on Energy Efficiency. The readers will learn about different technologies for energy efficiency policies and programs to reduce the amount of energy. The book provides some studies and specific sets of policies and programs that are implemented in order to maximize the potential for energy efficiency improvement. It contains unique insights from scientists with academic and industrial expertise in the field of energy efficiency collected in this multi-disciplinary forum.",isbn:null,printIsbn:"978-953-51-0800-9",pdfIsbn:"978-953-51-6254-4",doi:"10.5772/2590",price:139,priceEur:155,priceUsd:179,slug:"energy-efficiency-the-innovative-ways-for-smart-energy-the-future-towards-modern-utilities",numberOfPages:408,isOpenForSubmission:!1,isInWos:null,isInBkci:!1,hash:"1ecdf08655667a5b3d6936b6ede62aab",bookSignature:"Moustafa Eissa",publishedDate:"October 17th 2012",coverURL:"https://cdn.intechopen.com/books/images_new/2197.jpg",numberOfDownloads:59019,numberOfWosCitations:28,numberOfCrossrefCitations:33,numberOfCrossrefCitationsByBook:2,numberOfDimensionsCitations:55,numberOfDimensionsCitationsByBook:2,hasAltmetrics:0,numberOfTotalCitations:116,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"December 7th 2011",dateEndSecondStepPublish:"January 11th 2012",dateEndThirdStepPublish:"April 16th 2012",dateEndFourthStepPublish:"July 15th 2012",dateEndFifthStepPublish:"August 14th 2012",currentStepOfPublishingProcess:5,indexedIn:"1,2,3,4,5,6,7",editedByType:"Edited by",kuFlag:!1,featuredMarkup:null,editors:[{id:"35245",title:"Prof.",name:"Moustafa",middleName:null,surname:"Eissa",slug:"moustafa-eissa",fullName:"Moustafa Eissa",profilePictureURL:"https://mts.intechopen.com/storage/users/35245/images/3312_n.png",biography:"Prof. Moustafa Mohammed Eissa\n(Digital Protection, Smart Grid, Wide Area Monitoring and Application, Grid Modeling and assessment, Smart Grid based on GIS), Smart Meters (AMI)\nProf. at Faculty of Engineering-Helwan University-Cairo-EGYPT\n(www.helwan-ntra.com)\nRECENT AWARDS ETRERA_2020 PRIZE (European Member States and the Mediterranean countries) For the Category Smart Grids: Faculty of Engineering, Helwan University, Egypt for the project on “Frequency Monitoring Network Architecture and Applications”. http://www.etrera2020.eu/link-9/135-and-the-winners-of-the-etrera-2020-prize-are.html\nSCOPUS CITATION\n• M.M. Eissa’s publications have 349 total citation cited by 291 documents in Scopus and he has H-index= 10 from 1995 at (1st of January, 2015)\n• http://www.scopus.com/authid/detail.url?authorId=35581693900\nGOOGLE SCHOLAR CITATIONS\n• M.M. Eissa’s publications on Google Scholar Citation is 520 and H-index=12\nCitation Indices = 520 h-index = 12\nhttp://scholar.google.com/citations?hl=en&user=5useqg4AAAAJ\nProf. Moustafa Mohammed Eissa (Digital Protection, Smart Grid, Wide Area Monitoring and Application, Grid Modeling and assessment, Smart Grid based on GIS) (www.helwan-ntra.com)\nProf. at Faculty of Engineering-Helwan University-Cairo-EGYPT\n\nM. M. Eissa (M’96–SM’01) was born in Helwan, Cairo, Egypt, on May 17, 1963. He received the B.Sc. and M.Sc. degrees in electrical engineering from Helwan University, Cairo, in 1986 and 1992, respectively, and the Ph.D. degree from the Research Institute for Measurements and Computing Techniques. Hungarian Academy of Science Budapest, Hungary, in 1997 (PhD Study is cooperated with Duisburg University-Institute of Electrical Engineering-GERMANY). Currently, he is a Professor with Helwan University. In 1999, he was invited to be a Visiting Research Fellow at the University of Calgary, Calgary, AB, Canada. He was a chair Prof. at King Abdul-Aziz University-KSA for sponsored project \\Demand Side Management and Energy Efficiency\\ from Saudi Electricity Company during period 2008-2010. From 2012, he is the PI for the large scale project \\SMART GRID FREQUENCY MONITORING NETWORK (FNET) ARCHITECTURE AND APPLICATIONS-220kV/500kV\\ NTRA-Egypt (www.helwan-ntra.com)-2012, END-USER Egyptian Electricity Company. From 2013, he is the PI for \\NOVEL OPTIMAL WIDE AREA COORDINATING PROTECTION AND CONTROL SYSTEM BASED ON WIDE-AREA SYNCHRONIZED MEASUREMENTS IN SYSTEMS WITH RENEWABLE ENERGY RESOURCES AND MULTIPLE FACTS EFFECT\\.\n\nDr. Eissa initiated the first application in 2010 at the Middle East by applying the smart grid and the wide area monitoring and application on the Egyptian 220kV/500kV Cairo Zone Grid.\n\nDr. Eissa is the author of more than 120 publications (40/120 IEEE, IET and Elsevier journal papers), including books, book chapters, and papers in the area of digital protection, demand side management and smart grid.\n\nHe is invited as speaker in several Universities and international events, and involved in many Technical Program Committees for international conferences. \n\n150 citations are listed in Web of Science (as of 4th of April 2012)\n\nDr. Eissa received \\State country prize in the advanced technology science from Academy of Scientific Research and Technology (Egypt), 2002, (http://www.asrt.sci.eg)\\, \\Distinguished Researcher Award, October 2005, University of Helwan, and \\Incentive Researcher Award, 2011, University of Helwan (www.helwn.edu.eg). Incentive Researcher Award, 2012- Awarded from \\Program for Continuous Improvement and Qualifying for Accreditation\\ - Ministry of Higher Education-Egypt. (high Citation according to ISI and Scopus)- http://www.qaap.edu.eg/\n\nHe has 7 major scientific reports and more than 150 collected materials in different topics related to industry. \n\nHe has many novel techniques in the digital protections. He has many consultations with the industrial sectors. He has many international and local projects. He has numerous honors for his research, leadership, supervision and teaching. His research interests include topics related to Digital Protection, Smart Grids, Wireless application on power system, Wide area Protection, Demand Side Management, Energy Efficiency, Control Schemes for Renewable Energy Resources using Harmony Search Algorithms, Power Quality and Automation system, Smart Grid based on GIS.",institutionString:null,position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"4",totalChapterViews:"0",totalEditedBooks:"3",institution:{name:"Helwan University",institutionURL:null,country:{name:"Egypt"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,coeditorOne:null,coeditorTwo:null,coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"770",title:"Renewable Energy",slug:"engineering-energy-engineering-renewable-energy"}],chapters:[{id:"40210",title:"Load Management System Using Intelligent Monitoring and Control System for Commercial and Industrial Sectors",doi:"10.5772/51850",slug:"load-management-system-using-intelligent-monitoring-and-control-system-for-commercial-and-industrial",totalDownloads:14074,totalCrossrefCites:4,totalDimensionsCites:6,hasAltmetrics:0,abstract:null,signatures:"M.M. 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This concerns both normal dielectrics and those specified as ferro- or antiferroelectrics (Lines & Glass, 1977). This basic phenomenon of dielectric materials has been extensively studied in the literature both experimentally and theoretically, however, mainly restricting to the linear dielectric response where a linear relationship between polarization,
is fulfilled. Here
At higher electric fields
which contains higher order terms with respect to the external electric field, where
In order to overcome the technological challenge we have constructed a fully automatized
We have applied this new instrument to various basic ferroelectric scenarios, such as the classic first- and second-order ferroelectric transitions of barium titanate (BaTiO3) (Miga & Dec, 2008), triglycine sulphate (TGS) (Miga & Dec, 2008) and lead germanate (Pb5Ge3O11) (Miga & Dec, 2008), the double anomalous second-order transitions of Rochelle salt (Miga et al., 2010a), the smeared transition of the classic relaxor ferroelectrics lead magno-niobate (PbMg1/3Nb2/3O3, PMN) (Dec et al., 2008) and strontium-barium niobate (Sr0
Dielectric properties of materials are usually investigated via linear dielectric response. In this case a linear relationship,
Let us consider the Landau-Ginzburg-Devonshire (LGD) theory of ferroelectric phase transitions (PT) (Ginzburg, 1945; Devonshire, 1949). According to this theory the free energy density
where
This relationship between
The second-order susceptibility is proportional to the polarization
Due to positive B, 3 is negative above a continuous PT point. Within the ferroelectric phase P=P
Within the ferroelectric phase 3 has a positive sign. Thus the LDG theory predicts a change of sign of 3 at a continuous PT. The scaling theory (Stanley, 1971) predicts that B scales as B=B0
A similar calculation for a discontinuous PTs, where B < 0 and C > 0, yields 3 > 0 at all temperatures, in particular also above PT (Ikeda et al., 1987). Fortunately from an experimental point of view 3 is given by this same equation (8) within paraelectric phase independent of the ferroelectric PT order. The sign of 3 is a sensitive probe for discrimination between continuous and discontinuous ferroelectric PTs.
In all known ferroelectrics the paraelectric phase is located above the stability range of the ferroelectric one. However, sodium potassium tartrate tetrahydrate (Rochelle salt, RS) (Valasek, 1920, 1921) apart from a classic high temperature paraelectric phase has an additional, unusual one located below the ferroelectric phase. Both PTs, between the paraelectric phases and the ferroelectric one have continuous character. In order to predict the sign of 3 within the low-temperature paraelectric phase one can refer to the theory of Mitsui (Mitsui, 1958). Within this theory the electric equation of state for RS is similar to Eq. (4) with a positive coefficient of the cubic term, P3. Therefore a negative sign of 3 is expected within low-temperature paraelectric phase (Miga et al., 2010a).
Another class of dielectrics are relaxor ferroelectrics. They are usually considered as structurally disordered polar materials, which are characterized by the occurrence of polar nanoregions (PNRs) of variant size below the so-called Burns temperature, T
where J
The measured values of 1 and 3 can be used for calculating the so-called scaled non-linear susceptibility, a3, which is given by (Pirc & Blinc, 1999)
Within the paraelectric phase of classic ferroelectrics a3 is equal to the nonlinearity coefficient B, cf. Eqs. (8) and (11). For ferroelectics displaying a continuous PT, a3 = -8B within ferroelectric phase. The SRBRF model yields negative 3 and positive a3 with two extremes observed at the freezing temperature, T
A schematic comparison of predictions of the above theories is presented in Fig. 1.
Schematic presentation of linear and nonlinear responses of classic ferroelectrics with (a) continuous PTs, (b) discontinuous PTs, and (c) relaxor ferroelectrics (see text).
Nonlinear dielectric response can be measured using two different kinds of experimental methods. The first one is based on the investigation of the ac linear dielectric susceptibility as a function of a dc bias field. A schematic presentation of this method is shown in Fig. 2a. One applies to the sample a weak probing ac electric field with fixed amplitude (that warrants a linear response) and a superimposed variable dc bias field, E
for the paraelectric phase and
for the ferroelectric one. (E) and (0) are the susceptibilities for bias, E, and zero electric field, respectively. By use of Eqs. (12) and (13) one can calculate the nonlinearity coefficient B. Its knowledge allows us to calculate the third-order nonlinear susceptibility 3. Unfortunately, the above described method has at least one restriction when investigating the nonlinear dielectric response. Namely, during so-called field heating/cooling runs, unwanted poling and remnant polarization of the investigated sample can evolve under a high bias field.
Presentation of methods of measurement of nonlinear dielectric response using (a) a weak probing ac electric field with fixed amplitude and a superimposed variable dc bias field, and (b) an enhanced ac field. The effects are exaggerated for visualisation.
The second kind of method is free from this restriction. A schematic presentation of this method is shown in Fig. 2b. During the experiment the sample is exposed to an ac probing field with sufficiently large amplitude. Consequently, under this condition the temperature dependences of the linear and nonlinear susceptibilities are determined under zero dc field in heating and cooling runs. That is why the nonlinear susceptibility detected this way can be referred to as a dynamic nonlinear susceptibility related to ac dielectric nonlinearity. Usually the amplitude of this field is much smaller than the bias field strength used in the above described experiment. As a result of the nonlinear P(E) dependence, the output no longer remains harmonic. The distorted signal may be subjected to Fourier analysis revealing all harmonic components in the polarization response. This is the main idea of our nonlinear ac susceptometer (Miga et al., 2007). Using harmonics of displacement current density j
where and E0 are the angular frequency and the amplitude of the applied electric field respectively. In Eq. 14 the terms up to seventh order are involved, hence, susceptibilities up to the fifth order can be regarded as reliable even for strongly nonlinear materials. Neglecting harmonics higher than the order of a considered susceptibility may lead to artificial effects. The next important point is the simultaneous measurement of all displacement current components, which considerably improves the accuracy of the measured susceptibilities (Bobnar et al., 2000). In case that the phase shifts of the displacement current harmonics are known it is possible to calculate the real, χ
Triglycine sulphate, (NH2CH2COOH)3H2SO4 (TGS) is a model ferroelectric displaying a continuous PT. Sodium potassium tartrate tetrahydrate (Rochelle salt, RS), NaKC4H4O64H2O, and lead germanate, Pb5Ge3O11 (LGO) exhibit continuous PTs, as well. Despite the quite different structures of the crystals and different mechanisms of their PTs, a negative sign of the real part of the third-order nonlinear susceptibility is expected in their paraelectric phases. Fig. 3 shows the temperature dependences of the real parts of the linear, the third order nonlinear dielectric susceptibilities, and the scaled susceptibility, a3. The linear susceptibility of a TGS crystal (Fig. 3a) obeys a Curie-Weiss law within the paraelectric phase very well with a critical exponent =1.0000.006. According to predictions of the phenomenological theory of ferroelectric PT, 3’ changes its sign at the PT point (Fig. 3b).
Temperature dependences of the real parts of the linear (a) and third order non-linear (b) susceptibilities and a3 coefficient (c) of TGS. The amplitude of the probing ac electric field was 5kVm-1.
While below T
Temperature dependences of the real parts of the linear (a), the second (b) and the third (c) order nonlinear susceptibilities of Rochelle salt. The amplitude of the probing ac electric field was 500 Vm-1.
Fig. 4 shows the temperature dependences of the linear, the second, and the third-order nonlinear susceptibilities of Rochelle salt. The temperature dependences of 1’ and 3’ are, close to the high temperature ferroelectric-paraelectric PT ( 297.4 K), qualitatively similar to those of the TGS crystal. As was mentioned earlier, RS displays an additional low temperature PT. This transition between the ferroelectric and the low temperature paraelectric phase appears at about 254.5 K. At this PT 3’ changes its sign as compared to the high temperature PT (Fig. 4c). As a result of the inverse order of phases, 3’ is negative below and positive above the low temperature PT. In this way the third-order nonlinear susceptibility is negative in both paraelectric phases close to PT points. Fig. 4b shows the temperature dependence of the second-order nonlinear susceptibility. The sign of this susceptibility depends on the net polarization orientation. Therefore it can be changed by polarization of the sample in the opposite direction. The simplest way to change the sign of 2’ is a change of the wires connecting the sample to the measuring setup. So, in contrast to sign of the 3’, the sign of the second order nonlinear susceptibility is not very important. In the case of 2’ most important is its nonzero value and the observed change of sign of this susceptibility at 273 K. This hints at a modification of the domain structure within the ferroelectric phase. The next change of sign at the low temperature PT point is originating from different sources of the net polarization above and below this point. Above 254.5 K this polarization comes from the uncompensated ferroelectric domain structure, whereas within the low-temperature paraelectric phase it originates merely from charges screening the spontaneous polarization within the ferroelectric phase.
Lead germanate (LGO) displays all peculiarities of a continuous ferroelectric PT (see Fig. 5 a, c, e) (Miga et al., 2006). However, a small amount of barium dopant changes this scenario (Miga et al., 2008). Ba2+ ions replacing the host Pb2+ influence the dielectric properties. 2% of barium dopant causes a decrease of the linear susceptibility, broadening of the temperature dependence of 1’, and a decrease of the PT temperature. Despite all these changes the temperature dependences of 1’ for pure and barium doped LGO are qualitatively similar. A completely different situation occurs, when one inspects the nonlinear dielectric response. Small amounts of barium dopants radically change the temperature dependence of the third-order nonlinear susceptibility (Fig.5 b). Similarly to linear one the anomaly of the third-order nonlinear susceptibility shifts towards lower temperature and decreases. The most important difference is the lacking change of sign of 3’. In contrast to pure LGO for barium doped LGO the third-order nonlinear susceptibility is positive in the whole temperature range. Therefore one of the main signatures of classic continuous ferroelectric PTs is absent. Due to the positive value of 3’ the scaled nonlinear susceptibility is negative in the whole temperature range (Fig. 5d). No change of a3 is observed. This example shows the high sensitivity of the nonlinear dielectric response to the character of the PT. In the discussed case a change of character of the PT is due to the presence of barium induced polar nanoregions (PNRs). The occurrence of PNRs results in weak relaxor properties of barium doped LGO.
Barium titanate, BaTiO3 (BT), is a model ferroelectric displaying three discontinuous ferroelectric PTs (von Hippel, 1950). Two of them appear – at rising temperatures - between rhombohedral, orthorhombic and tetragonal ferroelectric phases at about 200 K and 280 K respectively. The final discontinuous PT appears between the ferroelectric tetragonal and the cubic paraelectric phase at about 400 K. Fig. 6 shows the temperature dependences of the real parts of the linear (a) and third-order nonlinear (b) susceptibilities, and the a3 coefficient (c) of a BT crystal in the vicinity of the ferroelectric-paraelectric PT. The amplitude of a probing ac electric field was equal to 7.5 kVm-1.
Temperature dependences of the real part of the linear dielectric susceptibility (a) for LGO:Ba 2% and LGO, real part of third-order nonlinear dielectric susceptibility for (b) LGO: Ba 2% and (c) LGO, and scaled nonlinear susceptibility a3 for (d) LGO:Ba 2%, and (e) LGO crystals. The amplitude of the probing ac electric field was 15 kVm-1.
Temperature dependences of the real parts of the linear (a) and third order non-linear (b) susceptibilities and of the a3 coefficient (c) of a BaTiO3 crystal. The amplitude of the probing ac electric field was 7.5kVm-1.
Temperature hysteresis is one of the typical features of discontinuous PT. Therefore for viewing this phenomenon Fig. 6 presents results for cooling and heating runs. The third-order nonlinear susceptibility is positive, both within the ferroelectric and the paraelectric phases (Fig. 6b). Just below T
The classic relaxor ferroelectric lead magno-niobate (PbMg1/3Nb2/3O3, PMN) (Smolenskii et al., 1960) displays an average cubic structure in the whole temperature range (Bonneau et al., 1991). No spontaneous macroscopic symmetry breaking is observed in this relaxor. On the other hand and in contrast to PMN, the relaxor strontium-barium niobate Sr0
Temperature dependences of 1’ (a), 2’ (b), 3’ (c) and a3 (d) of a PMN crystal measured at f = 31, 100, 319, and 1000 Hz. A probing ac electric field with an amplitude of 12 kV/m was applied along the [100] direction.
Temperature dependences of 1’ (a), 2’ (b), 3’ (c) and a3 (d) of a SBN61 crystal measured at f = 10, 31, 100, 318, and 1000 Hz. A probing ac electric field with an amplitude of 7.5 kV/m was applied along the [001] direction.
Fig. 7 presents the temperature dependences of the real parts of the linear, 1’ (a), second-order, 2’ (b), and third-order, 3’ (c), dielectric susceptibilities and of the scaled nonlinear susceptibility a3 (d) of the PMN single crystal recorded along [100] direction (Dec et al., 2008). The linear susceptibility displays features of a relaxor i.e. a large, broad and frequency-dependent peak in the temperature dependence. Nonzero 2’ as presented in Fig. 7b is an indicator of net polarization of the crystal. The presence of this polarization was independently confirmed by measurements of thermo-stimulated pyroelectric current of an unpoled sample. Integration of this current indicates an approximate value of the average polarization as low as 310-5 C/m2. This polarization is much smaller than the spontaneous polarization of ferroelectrics, but is well detectable. The observed pyroelectric response and nonzero 2’ hints at an incomplete averaging to zero of the total polarization of the PNR subsystem. Fig. 7c shows the temperature dependence of the third-order nonlinear susceptibility. In contrast to the predictions of the SRBRF model, 3’ is positive in the whole temperature range. The positive sign of 3’ may result from a term 180BP21 exceeding unity in Eq. 7. Positive sign of 3’ results in a negative sign of a3. Consequently the sign of a3 differs from that predicted by the SRBRF model. Having in mind that corrections due to the fifth harmonic contribution produce large noise at temperatures below 210 K and above 310 K (Fig. 7d, main panel), less noisy a3 data calculated only from first and third harmonics are presented in the inset to Fig. 7d. Since both 1’ and 3’ do not display any anomalies in the vicinity of the freezing temperature T
Fig. 8 shows results of measurements of the linear and nonlinear dielectric response of SBN61 crystal (Miga & Dec, 2008). The probing electric ac field was applied along [001], which is the direction of the polar axis below T
The results obtained for both relaxor ferroelectrics are qualitatively similar. Therefore, they are independent of the presence or absence of a structural phase transition and macroscopic symmetry breaking. As discussed in Section 2 the dielectric properties of relaxors are mainly determined by PNRs, which were detected in both of the above relaxors. Unfortunately, the early version of the SRBRF model (Pirc et al., 1994) predicts a negative sign of the third-order nonlinear dielectric susceptibility, which is not confirmed in experiments. Consequently the sign of the scaled nonlinear susceptibility a3 is incorrect as well. Very probably this unexpected result is due to the fact that the PNRs primary do not flip under the ac electric field, but merely change their shape and shift their centers of gravity in the sense of a breathing mode (Kleemann et al., 2011).
The formation of dipolar glasses in incipient ferroelectrics with perovskite structure, ABO3, such as SrTiO3 and KTaO3, by A-site substitution with small cations at low concentrations has been a fruitful topic since more than 20 years (Vugmeister & Glinchuk, 1990). For a long time probably the best-known example has been the impurity system K1-xLixTaO3 (KLT for short) with x<< 1, whose complex polar behavior is known to be due to the interaction of the (nearly) softened transverse-optic mode of the host-lattice and the impurity dynamics (Höchli et al., 1990). Fig. 9 shows the structure model of A-site substituted Li+ viewing the nearest neighbor environment in the KTaO3 lattice from two different perspectives. At very low concentrations, x ≈ 0.01, it reveals signatures of glasslike behavior (Höchli, 1982; Wickenhöfer et al., 1991), while a ferroelectric ground state with inherent domain structure is encountered at higher concentrations, x ≥ 0.022 (Kleemann et al., 1987).
Displacement vectors (blue arrows) of an off-center Li+ (Mn2+) ion in A-site doped KTaO3 (SrTiO3) viewed (a) from the center of 12 surrounding oxygen ions and (b) from the corner of the elementary cell.
Only recently a similar system has been discovered with qualitatively new properties. The impurity system Sr1-
In addition to conventional tests of the glass transition, e. g. by verifying the divergence of the polar relaxation times, the behavior of the nonlinear susceptibility is believed to similarly decisive. As was first acknowledged in spin glass physics (Binder & Young, 1986), but later on also in the field of orientational glasses (Binder & Reger, 1992), criticality at the glass temperature, Tg, is expected to give rise to a divergence of the third-order nonlinear susceptibility,
The experiments on KLT were performed on a Czochralski grown single crystal sample with x = 0.011 with dimensions 3×2×0.5 mm3 and (100) surfaces (Kleemann et al., 1987). Dipolar relaxation was studied as a function of temperature T via measurements of the complex dielectric susceptibility, = ′ - iχ″ vs. T, by use of different experimental methods adapted to different frequency ranges, 10-3 ≤ f ≤ 106 Hz. They included a Solartron 1260 impedance analyzer with 1296 dielectric interface (Fig. 10a and b) and a digital lock-in analyzer (Wickenhöfer et al., 1991) (Fig. 10c) for linear, and a homemade computer-controlled digital susceptometer (Miga et al., 2007) for non-linear dielectric susceptibility data (Fig. 11) at high precision under relatively low excitation voltages.
Fig. 10a and b show dielectric susceptibility data, χ′(T) and χ″(T), for frequencies 10-3 < f < 106 Hz, which reveal various signatures of glassy behaviour. The peak of χ′(T) in Fig. 10a converges toward a finite glass temperature, T
Dielectric susceptibility, χ′(T) (a), χ″(T) (b), and χ″(f) (c) of K0.989Li0.011TaO3 measured at frequencies 10-3 < f < 106 Hz and temperatures 10 < T < 90 K. Decades of f and steps of ∆T = 2.5 K are parameters in (a, b) and (c), respectively.
Nonlinear susceptibility χ3\'(T) of K0.989Li0.011TaO3 measured at frequencies 11 < f < 3000 Hz.
A complementary test of glassy criticality refers to the third-order nonlinear susceptibility,
The experiments on Sr0.98Mn0.02TiO3 were performed on a ceramic sample prepared by a mixed oxide technology (Tkach et al., 2005). Preponderant incorporation of Mn2+ onto A-sites of the perovskite structure (Fig. 9) was confirmed by energy dispersive X-ray spectra (Tkach et al., 2006), Mn2+ ESR analysis (Laguta et al., 2007), and EXAFS spectroscopy (Lebedev et al., 2009; Levin et al., 2010). Fig. 12 shows the components of the complex dielectric susceptibility
Another striking indicator of the dipolar glass state is the memory effect, which arises after isothermally annealing the sample below T
a)
Temperature dependence of the third-order nonlinear dielectric susceptibility of Sr0.98Mn0.02TiO3 measured at f = 37, 111, 333 and 1000 Hz. The dipolar glass freezing temperature T
The glass transition may also be judged from spectra
In subsections 4.1 – 4.4 we presented different groups of polar materials separately and compared qualitatively their dielectric properties with predictions of suitable theories. It is likewise interesting to compare quantitatively different materials. The scaled nonlinear susceptibility, a3, is defined independently of the kind of material and its symmetry. This quantity is a measure of the nonlinearity of the investigated object. For an adequate comparison we have chosen values of a3 within centrosymmetric phases of different materials close to their temperatures of phase transition or of peak positions of the linear susceptibility, respectively. Fig. 14 shows thus collected values of a3. In view of the very large differences between the different a3 values a logarithmic scale is used. Consequently, only the magnitude values, |a3|, are presented. The highest |a3| was found for Rochelle salt, RS. Lower nonlinearity appears in sequence in the ferroelectric crystals TGS, LGO, BT, barium doped LGO, multiglass Sr0.98Mn0.02TiO3, orientational glass K0.989Li0.011TaO3 and relaxor ferroelectrics PMN and SBN 61. Obviously, classic ferroelectrics undergoing continuous PT are characterized by high nonlinearity, while structural disorder and presence of PNRs diminish the nonlinearity. Consequently relaxor ferroeletrics are characterized by the smallest values of a3. In other words, displacive ferroelectrics exhibiting soft-mode softening are most affected by nonlinearity, while typical order-disorder systems do not obtain their ferroelectricity primarily from the nonlinear interionic potential. The mechanism of their phase transition rather reflects the statistics of local hopping modes, in particular when being accompanied by quenched random fields as in relaxor ferroelectrics (Westphal et al., 1992; Kleemann et al., 2002), but probably also in partial order-disorder systems like BaTiO3 (Zalar et al., 2003).
Absolute values of the scaled nonlinear susceptibility, |a3|, within centrosymmetric phases close to temperatures of phase transitions (for classic ferroelectrics) or peak positions of the linear susceptibility at low-f (for relaxor ferroelectrics and glasses).
The comparison of nonlinear dielectric response of various kinds of polar materials presented in this chapter gives evidence that such kind of measurement is a very sensitive tool for determination of the nature of ferroelectrics. Particularly useful for this purpose are the third-order dielectric susceptibility and the scaled non-linear susceptibility, a3. In our opinion, the second-order dielectric susceptibility is less significant, since it is more characteristic of the sample state than of a particular group of ferroelectrics. If anything, this susceptibility contains information about the distinct polar state of the sample. This information may be used for checking the presence of a center of inversion. The nonlinear dielectric response of classic ferroelectric crystals displaying continuous or discontinuous phase transition stays in a good agreement with predictions of the thermodynamic theory of ferroelectric phase transition. Predictions of the scaling theory for TGS crystal are also successfully verified experimentally. The situation is much more complex in disordered systems like ferroelectric relaxors or dipolar glasses. Respective theories properly explaining the observed features have still to be developed and tested via dynamic nonlinear dielectric response.
The authors are grateful to D. Rytz, A. Tkach, and P.M. Vilarinho for providing samples. WK thanks the Foundation for Polish Science (FNP), Warsaw, for an Alexander von Humboldt Honorary research grant.
In this chapter, mindsets and differences in the neural mechanisms of attention allocation and other automatic reactions to errors between fixed and growth mindset students are discussed. The chapter presents results from a pilot study examining and evaluating these differences among girls in the Finnish elementary school context. These findings are discussed in the light of previous neuroscience research related to mindsets, including limitations of the studies conducted so far and suggestions for future research in this field.
Mindsets are implicit beliefs individuals hold about the malleability of basic qualities and abilities. People with a fixed mindset (the entity theory) believe human qualities are static; those with a growth mindset (the incremental theory) believe basic qualities can be developed [1]. The theory about mindsets helps us understand how people make sense of the world and their experiences [2]. The theory can, for example, help us understand individual differences in goal pursuit, self-regulation, and response to feedback and setbacks by shedding light on how people construct meaning, interpret their experiences, and respond to their world. Indeed, there is a growing literature describing the connections between different mindsets to different behaviors and outcomes (e.g., see [3, 4]).
Mindsets are also highly relevant when it comes to the educational context. Indeed, in the last decades, they have been identified as an important factor in explaining learning differences among students [5]. Moreover, they seem to be especially relevant in certain academic domains, such as mathematics [6, 7]. Mathematics seems to be a subject about which people tend to hold more of a fixed mindset when compared to other educational subjects [6, 8]. Indeed, compared to achievement in social science and other subjects, achievement in mathematics is often believed to depend more on an innate ability that is uncontrollable [8]. Interestingly, holding a growth mindset about mathematical ability seems to be especially beneficial for girls when compared to boys, leading to higher grades in math [9]. Thus, as growth and fixed mindsets seem to be differentially related to the students’ academic outcomes, the effort they put into learning, and the way students cope with setbacks and failures, it is highly important to consider and address mindsets in the educational context [7, 10, 11, 12].
In order to shed more light on mindsets and how they affect behavior, there has, in the recent years, been a growing interest in understanding the mechanisms behind the relations between mindsets and behavioral outcomes, including interest in the possible neural mechanisms that are involved in these processes [13, 14, 15, 16, 17]. Indeed, individuals with a growth mindset tend to recover from setbacks easier than individuals with a fixed mindset, and neural activity concerning automatic reactions to errors seems to be involved in this ability to rebound from mistakes (for review, see [18]). Although, thus far the neuroscientific research related to mindsets is still rather scarce, especially concerning studies conducted on children. We found only two studies connecting neuroscience and the theory of mindsets, which have focused on children [15, 17].
Most of the neuroscientific studies on mindsets have examined the connections between mindsets and electroencephalogram (EEG) recordings, more specifically the connections between mindsets and event-related potentials (ERPs) [13, 14, 16, 17]. Mangels and colleagues [13] had the participants of the study answer general knowledge questions and used EEG recordings to measure their neural responses to the feedback for the questions. In other studies [14, 16, 17], the researchers used a go/no-go or Flanker’s task and measured the participants’ neural responses to errors. All of these studies showed differences in the neural mechanisms, more specifically in the ERPs, of fixed and growth mindset participants, which might reflect differences in the processing of errors and feedback between fixed- and growth-minded participants. More specifically, researchers [14, 17] have found growth mindset to be related to an enhanced amplitude of the error-related positivity (Pe) component of ERPs, with no differences in the amplitude of error-related negativity (ERN). In study [13], growth and fixed mindset participants differentiated in the anterior frontal P3 to negative performance-relevant feedback, which might refer to negative feedback having a stronger affective effect in the case of a fixed mindset. In study [16] P3 amplitude was larger, and late Pe amplitude was smaller in participants with an induced growth mindset when compared to the participants with an induced fixed mindset. In addition to the studies using EEG recordings, there are two studies that have used functional magnetic resonance imaging (fMRI) to explore the neural mechanisms connected to mindsets [15, 19].
At the same time, even though these neural differences between growth and fixed mindset have been shown to be present among undergraduates and children in North America, we found only one neuroscientific study on mindsets that has addressed different cultural contexts [19]. This study focused on mindsets about emotion regulation and not about intelligence. Still, results from that study and other previous raise questions about the cultural dependency and context of mindsets and their relations and, thus, point to the need for research on mindsets also in different cultural contexts [7, 20, 21]. This discussion illustrates the importance of investigating mindsets and their neural mechanisms also in different cultural contexts.
Taking into account the previous discussion and the stated importance of connecting psychological, educational, and neuroscientific research when studying mindsets [18], the purpose of our pilot study was to examine and evaluate the neural differences of attention allocation to mistakes between growth and fixed mindset girls in the Finnish elementary school context. Relying on the previous research in this field, we expected to detect differences in the error-monitoring ERPs of growth and fixed mindset participants. For this ERN and Pe were recorded. ERN has been associated with immediate, perhaps unconscious, error-correction or simply conflict-detection processes [22, 23]. Pe has been associated with conscious error awareness, attention allocation to errors [22], and conscious processing of motivationally significant events [24]. It has been suggested that Pe possibly reflects a subjective emotional error assessment process, which could be modulated by the individual significance of the error [23, 25]. As can be seen in Figure 1, at the psychological level, we assume that several processes take place, related to perceiving the task, making decision about the response, performing the action, detecting whether the action was right or wrong, and, finally, in the case of an error, evaluating the error and its consequences. At the level of the neural signals or ERPs, we can measure responses related to visual perception and action preparation (not reported in this study due to the averaging according to button press), the Pe response and the ERN response. These responses depend on the task (go trial or no-go trial), the action (button pressed or not pressed), and the correctness of the button press and are expected to also depend on the mindset of the participant.
Visual representation of the research design.
Participants of the study were 10 right-handed second-grade female students aged 8–9 years (mean = 8.50, SD = 0.53). All of the participants were native Finnish speakers and students from a Finnish public elementary school, namely, the Viikki Teacher Training School of the University of Helsinki, where the student teachers practice under the guidance of mentors who are highly skilled in teaching. Additionally, research, practice, and development activities have a crucial role in Viikki Teacher Training School. The school has learning resources available for different learners with advanced pedagogies in use. Elementary school students in Viikki School are in general local children from the neighborhood, which can be described as a medium socioeconomic status district when compared to other areas in Helsinki [26].
The students’ participation in this pilot study was voluntary, and parental, school principal, and municipal officials’ written consents were obtained. The study was part of a bigger research project, which had already been reviewed and approved by University of Helsinki Ethical Review Board before. The participants had the right to cancel their participation at any moment of the study and measurements.
Participants had previously been classified as growth or fixed mindset students in the following manner: during individual interviews a researcher had asked the students 10 questions of a 5-point Likert-type scale questionnaire based on Gunderson and colleagues’ mindset questionnaire used among children in previous research [27, 28]. They were also asked to describe how they understand the words “intelligence” and “giftedness.” During that interview the participants were encouraged to bring up examples or questions related to the questionnaire.
The experiment was conducted by two experimenters during the school day in a separate space at the school premises. Before the experiment, the students were briefed about the process; they were encouraged to ask questions about the experiment and were reminded that they can cancel their participation at any moment. Participants then completed the task on a laptop. After the task, participants were debriefed about the experiment and compensated. The whole procedure lasted for approximately 1 h per participant.
The task was an age-appropriate go/no-go task adapted from Grammer and colleagues’ study [29]. Participants were told that the task was a game in which they had to help a zookeeper catch animals and were instructed to press a button every time they saw a picture of an animal (go trial) except when the animal was an orangutan (no-go trial), because orangutans were also helping the zookeeper. The task consisted of a practice block (9 go trials, 3 no-go trials) followed by 16 blocks (30 go trials, 10 no-go trials) making up a total of 640 trials. Each stimulus was presented for 750 ms followed by a blank screen for 500 ms (response window 1250 ms). The participants were allowed small breaks between blocks and a longer one between blocks 8 and 9.
The task was conducted with presentation software (Neurobehavioral Systems, Inc., Albany, CA). EEG data were recorded with portable equipment (BrainVision QuickAmp amplifier) using 32 Ag-AgCl active electrodes (ActiCap, Brain Products, Germany) including two mastoid electrodes, one nose and one vertical eye movement electrode. Electrolyte gel (Signa Gel, Bio-Medical Instruments, Inc., Warren, MI) was used at each electrode. The data were recorded with BrainVision Recorder at 500 Hz sampling rate.
After recording, the EEG data were processed with Matlab R2017b software (Mathworks, Natick, MA) with EEGLAB 14.1.2b toolbox. The signal was high-pass filtered at 0.1 Hz and epoched 1250 ms before and 500 ms after response. In addition to visual inspection, artifactual epochs were rejected by detecting abnormal trends and abnormal spectra, and eye movement artifacts were removed using independent component analysis (ICA) [30]. The data were re-referenced to the average of the two mastoid electrodes. Response-locked grand average ERPs for channels Fz and Pz were calculated and baseline corrected by subtracting the mean amplitude from −150 to −50 ms pre-response. For figures, the waveforms were low-pass filtered using a Butterworth filter of order 3 with a cutoff frequency of 30 Hz.
Behavioral data from the go/no-go task included response accuracy and reaction time measures for each trial. These were further processed in R statistical software (version 3.4.3) and used to compute measures for post-error adjustments, following Moser and colleagues [14].
The responses to correct trials and error trials differed in both groups. Moreover, as expected, differences of error-monitoring ERPs between growth and fixed mindset students emerged, suggesting different attention allocation to mistakes, which is believed to play an important role in bouncing back after failure (Figure 2). It can be seen from the data that the difference curve calculated between the correct and error trials was larger in children with fixed mindset when compared to children with growth mindset. In the frontal areas (observed at Fz channel) in the early latencies 100–200 ms after response (the button press), the ERN amplitude (calculated as the difference between positivity on error trials and relative to that on correct trials, see Figure 3) is larger in the children with fixed mindset. There is no difference in the shape or timing of the ERN response in the two groups.
Response-locked waveforms for correct and error trials in fixed (upper panel) and growth mindset groups (lower panel) at frontal Fz (left) and parietal Pz (right) electrodes.
Response-locked subtraction signals in fixed and growth mindset groups at frontal Fz (left) and parietal Pz (right) electrodes. Here, response to correct trials is subtracted from the response to the error trials.
The data also show clear differences between the groups in the Pe component, the difference signal calculated between the correct and the error trials in the parietal electrodes (observed at Pz channel) in later latencies (200–500 ms after response). Fixed mindset was associated with larger Pe difference than growth mindset.
At the behavioral level, growth mindset participants showed decreased post-error accuracy, meaning that they got less correct responses on trials following error hits than on trials following correct hits; this was opposite for the fixed mindset group. There was no considerable difference in post-error reaction times, but overall reaction times were shorter for the fixed mindset group, especially in error trials. Fixed mindset participants also made less error hits and more correct hits, i.e., their overall performance was slightly better. This is in line with results by Torpey et al. [31], who found that a more positive Pe is associated with greater accuracy and shorter reaction time in error trials. Overall, these results suggest that participants with a fixed mindset responded faster and, while allocating attention to errors, did not show improvement/adjustment in behavioral terms, such as post-error slowing.
This pilot study contributes to the international mindset research by testing the mindset theory and experimental design, previously used in North America, in the Finnish context. It also provides evidence for differences in the neural mechanisms of attention allocation and in automatic reactions to errors between individuals with growth and fixed mindsets. Namely, in this study, the ERN amplitude was larger in the children with fixed mindset. Large ERN can be interpreted as more neural resources allocated to the detection of the error and also the further processing after detecting the error [32]. In addition to this, fixed mindset was also associated with larger Pe difference than growth mindset. These responses may reflect further processing of the errors, recovery after the errors, and reallocation of attentional resources to avoid future errors [33]. This suggests that fixed mindset children in this pilot study seem to invest a lot of effort in processing their errors and reorienting after the error has occurred. Growth mindset students also showed decreased post-error accuracy, while this was opposite for the fixed mindset group.
Interestingly, even though clear differences between the two groups emerged, these findings are somewhat inconsistent with the results from previously conducted research in North America [14, 17]. Namely, researchers [14, 17] have found growth mindset to be related to an enhanced amplitude of the Pe and better accuracy after mistakes, but not to ERN. Thus, the findings on the amplitude of Pe and also post-error accuracy were strikingly different from the findings from the North American studies. In addition to this, in this pilot study, differences in ERN were found, while this did not differentiate between growth and fixed mindset participants in the North American studies.
One possible explanation for this difference in the results of this pilot study, when compared to previous studies, is the young age of the participants. Namely, ERN seems to fluctuate during development [34]. Consistent with this, researchers [35] showed in their study that in younger children (8-to-10-year-old), a smaller ERN related to parent-reported anxiety, whereas in older children (11–13-year-olds), a larger ERN was significantly related to anxiety [35]. Consequently, the authors of the mentioned study discussed that it is possible that the relationship between increased error-related brain activity and anxiety may not emerge before early adolescence. Thus, one could speculate that it might be the same regarding the relationship between ERN and mindsets.
When discussing the differences between the results concerning Pe in this pilot study and previous studies, it is worth to mention that also Schroder and colleagues [17] showed that more attention allocation to errors (Pe) is not necessary for growth mindset children to recover from mistakes. Indeed, they did not find Pe to have the mediating role in recovering from mistakes as it had for grown-ups in the study conducted by Moser and colleagues [14]. Also the correlation found between growth mindset and Pe in study [17] on children was rather modest, and there were actually many growth mindset children who had average or below average Pe amplitudes. In addition to this, even though there is a difference in the time windows when compared to the current pilot study, in study [16] Schroder and colleagues found no differences in the early Pe (150–350 ms post-response time window) but found a smaller late Pe (350–750 ms post-response time window) amplitude in adult participants with an induced growth mindset when compared to the participants with an induced fixed mindset. Even though Pe has been shown not to have a similar age-related fluctuation as ERN [34], the inconsistencies of these findings might refer to other mechanisms involved in the processes of dealing with mistakes related to mindsets. Indeed, Meyer and colleagues also showed that smaller Pe amplitude related to greater parent-reported anxiety only among older children, with younger children’s anxiety level having no significant effect on Pe [35]. Thus, taking into account the mentioned research concerning ERPs, it is possible to speculate that as the ERN fluctuates during development, a clearer relationship between increased error-related activity and mindset also may possibly not emerge before early adolescence, at least concerning ERN. The findings on Pe in this study, though, are somewhat controversial when compared to other studies and require further research on the developmental processes involved in error-related brain activity and mindsets, as the results suggest that there might be other mechanisms involved in the processes of dealing with mistakes when it comes to mindsets. Thus, in the future it would be important to conduct more research on the neural mechanisms related to mindsets among different age groups, including more participants and including both boys and girls as the current pilot study had a small sample size and only included girls as participants. Moreover, it would also be important to include participants from different schools and possibly more diverse socioeconomic backgrounds.
In addition to this, the results of this pilot study might differ from the previous ones due to a different cultural context. As mentioned in the first part of this chapter, there are studies that refer to possible culture- and context-dependency of mindsets [7, 19, 20, 21]. Thus, it would be important to study mindsets in different cultural contexts and also conduct comparative studies investigating mindsets, their functioning, and relations to neural mechanisms.
None of the neuroscientific research concerning mindsets has taken academic-domain-specificity into account. Previous studies using EEG recordings have measured mindsets about and used a task/test addressing general intelligence [13]; measured or induced mindsets about general intelligence [14, 16, 17] and the EEG measurements have been done during a completion of a go/no-go task or a Flanker’s test. Even though the mindset measurement reflects the general underlying dimension of the mindset tendency in addition to the directly reflecting the mindset about intelligence [36], it is possible to speculate that the go/no-go task or Flanker’s test used might not be reflecting the domain of intelligence for the participants. As these ERPs are measured and should theoretically reflect automatic reactions to errors of a person with a growth vs. fixed mindset, the ERPs may reflect the person’s implicit beliefs in another domain than intelligence, which was measured or induced in these studies. Rather one could speculate that these tests might resemble more of a computer game than a test concerning intelligence, and thus, it might be more relevant comparing these ERPs regarding a growth vs. fixed mindset about the ability to play computer games, which might be remarkably different from the mindset that the individual holds about their intelligence or other domains like mathematics. Indeed, among these studies, as mentioned above, only Mangels and colleagues [13] have used a design, where the mindset measured and task used for EEG measurements match in their domains. Namely, they used measures of theories of intelligence (TOI) and a task, which included general knowledge questions. As mindsets, though, have been shown to have such considerable relations to academic outcomes [7], one important future direction would be measuring academic-domain-specific mindsets and using tasks/tests from the matching academic domain during the EEG measurements. This would enable to study the automatic reactions to errors in the specific academic domain of the held mindset and would thus yield to theoretically more sound results. One possibility to do this would be to modify the go/no-go task or Flanker’s test to be more domain-specific, for example, resembling a math test and then comparing the ERPs from this test to the participants’ academic-domain-specific (math-specific in the case of this example) mindsets.
All in all, understanding the neural mechanisms related to mindsets will enable, when combined with findings from other fields of research, the planning and construction of more successful interventions to encourage growth mindset. Taking into account the underlying neural mechanisms and structures of mindsets will enable to tap into how these implicit beliefs interact with cognitive and also other higher psychological processes, in order to improve students’ learning experience and results. Moreover, it will help to understand how these interactions affect behavioral outcomes not only in the academic but also a variety of other contexts.
The earlier version of this chapter was presented in April 2019 as a talk at the International State-of-the-Art Symposium: Recent connections between Brain, Neuroscience and Education, which was part of the American Educational Research Association (AERA) Annual Meeting 2019 in Toronto, Canada.
ERN | error-related negativity |
ERP | event-related potential |
Pe | error-related positivity |
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Soci, Stéphano F.S. Melo, Cléber R. Alves and Edilamar M. 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In cases, the ultrasound appearance is a cystic image with different content and the differential diagnosis is often difficult. Body—research methods: the organs affected by abdominal congenital anomalies involve the gastrointestinal tract (stomach, duodenum, small bowel or colon, and gall bladder), the kidney and urinary tract, the peritoneal cavity (ascites), suprarenal glands, and tumors of the reproductive system (especially the ovaries). In order to identify the affected structures, it is mandatory to know the normal aspect of the abdominal content at different gestational ages. The diagnosis may be very difficult, but its accuracy is important, considering the need of further counseling the couple. In minor conditions, without chromosomal anomalies or associations, the outcome is usually good, and there are even possibilities of in utero treatment. In severe conditions, with poor outcome, the couple can choose to terminate the pregnancy, after counseling is provided. Conclusion: abdominal congenital anomalies are common findings in ultrasound screenings for anomalies in all the trimesters of pregnancy and their recognition is important for subsequent management.",book:{id:"6307",slug:"congenital-anomalies-from-the-embryo-to-the-neonate",title:"Congenital Anomalies",fullTitle:"Congenital Anomalies - From the Embryo to the Neonate"},signatures:"Ples Liana and Anca Lesnic",authors:[{id:"212333",title:"Associate Prof.",name:"Liana",middleName:null,surname:"Ples",slug:"liana-ples",fullName:"Liana Ples"}]},{id:"58537",title:"Abnormalities of the Umbilical Cord",slug:"abnormalities-of-the-umbilical-cord",totalDownloads:1965,totalCrossrefCites:2,totalDimensionsCites:4,abstract:"Abnormalities of the umbilical cord, related to morphology, placental insertion, number of vessels and primary tumors, can influence the perinatal outcome and may be associated with other fetal anomalies and aneuploidies. The chapter investigates the most important congenital anomalies of this structure. Single umbilical artery appears to be associated with ventricular septal defects and conotruncal anomalies, hydronephrosis, dysplastic kidneys, esophageal atresia, spina bifida, holoprosencephaly, diaphragmatic hernia, and cystic hygromas. Velamentous insertion of the cord can be associated with trisomy 21, spina bifida, ventricular septal defects, and esophageal atresia. A hypoplastic umbilical artery has an artery-to-artery diameter difference of more than 50%; described anomalies include trisomy 21, polyhydramnios, congenital heart disease, and fetal growth restriction. Pseudocysts are more common than true cysts, and they are strongly associated with chromosomal defects and other congenital anomalies, especially omphalocele, hydrops, and trisomy 18. Other benign masses are teratomas, angiomyxomas, and patent urachus. Alterations in morphology and ultrastructure of the umbilical cord should extend the investigation, since there are associations with chromosomal anomalies.",book:{id:"6307",slug:"congenital-anomalies-from-the-embryo-to-the-neonate",title:"Congenital Anomalies",fullTitle:"Congenital Anomalies - From the Embryo to the Neonate"},signatures:"Sidonia Catalina Vrabie, Liliana Novac, Maria Magdalena Manolea,\nLorena Anda Dijmarescu, Marius Novac and Mirela Anisoara Siminel",authors:[{id:"98280",title:"Prof.",name:"Liliana",middleName:null,surname:"Novac",slug:"liliana-novac",fullName:"Liliana Novac"},{id:"214796",title:"Dr.",name:"Vrabie",middleName:null,surname:"Sidonia",slug:"vrabie-sidonia",fullName:"Vrabie Sidonia"},{id:"215033",title:"Dr.",name:"Dijmarescu",middleName:null,surname:"Lorena Anda",slug:"dijmarescu-lorena-anda",fullName:"Dijmarescu Lorena Anda"},{id:"215034",title:"Dr.",name:"Manolea",middleName:null,surname:"Maria Magdalena",slug:"manolea-maria-magdalena",fullName:"Manolea Maria Magdalena"},{id:"215036",title:"Dr.",name:"Siminel",middleName:null,surname:"Mirela",slug:"siminel-mirela",fullName:"Siminel Mirela"},{id:"215041",title:"Prof.",name:"Marius",middleName:null,surname:"Novac",slug:"marius-novac",fullName:"Marius Novac"}]},{id:"57831",title:"Renal Anomalies",slug:"renal-anomalies",totalDownloads:1203,totalCrossrefCites:0,totalDimensionsCites:0,abstract:"This chapter is dedicated to the main renal anomalies detectable by ultrasound. Anomalies of the lower urinary tract will be addressed in a separate chapter. The anomalies presented are renal agenesis, renal development variants, autosomal recessive polycystic kidney disease, multicystic dysplastic kidney disease, autosomal dominant polycystic kidney disease, obstructive cystic dysplasia, pelvis dilatation, renal tumors, and nonchromosomal syndromes associated with renal anomalies. All chapters are structured similar into definition, incidence, pathology, ultrasound findings, differential diagnosis, and clinical facts.",book:{id:"6307",slug:"congenital-anomalies-from-the-embryo-to-the-neonate",title:"Congenital Anomalies",fullTitle:"Congenital Anomalies - From the Embryo to the Neonate"},signatures:"Alexandru Cristian Comanescu, Florentina Tanase, Maria Cristina\nComanescu, Razvan Cosmin Pana, Madalina Barbu and Nicolae\nCernea",authors:[{id:"214946",title:"Dr.",name:"Alexandru",middleName:null,surname:"Comanescu",slug:"alexandru-comanescu",fullName:"Alexandru Comanescu"},{id:"214956",title:"Dr.",name:"Florentina",middleName:null,surname:"Tanase",slug:"florentina-tanase",fullName:"Florentina Tanase"},{id:"214957",title:"Dr.",name:"Maria Cristina",middleName:null,surname:"Comanescu",slug:"maria-cristina-comanescu",fullName:"Maria Cristina Comanescu"},{id:"214960",title:"Prof.",name:"Nicolae",middleName:null,surname:"Cernea",slug:"nicolae-cernea",fullName:"Nicolae Cernea"},{id:"220288",title:"Dr.",name:"Razvan Cosmin",middleName:null,surname:"Pana",slug:"razvan-cosmin-pana",fullName:"Razvan Cosmin Pana"},{id:"224296",title:"Dr.",name:"Madalina",middleName:null,surname:"Barbu",slug:"madalina-barbu",fullName:"Madalina Barbu"}]},{id:"60402",title:"Abnormalities of the Placenta",slug:"abnormalities-of-the-placenta",totalDownloads:3307,totalCrossrefCites:2,totalDimensionsCites:2,abstract:"The placenta is considered an important organ that evolves with the implantation of the blastocyst throughout the pregnancy. The placenta has an essential role in functions such as nutrition, excretion, and immunologic and endocrine function. The normal placenta is a round- or oval-shaped organ that attaches to the uterine wall and has roughly 22 cm in diameter and a thickness of about 2–2.5 cm and weighs about one sixth of the fetal birth weight. Thus, a normal development of the placenta is important for an uneventful embryonic and fetal development. Consequently, the placenta abnormalities can range from structural anomalies, to function disorders, to site of implantation abnormalities.",book:{id:"6307",slug:"congenital-anomalies-from-the-embryo-to-the-neonate",title:"Congenital Anomalies",fullTitle:"Congenital Anomalies - From the Embryo to the Neonate"},signatures:"Roxana Cristina Drăgușin, Maria Șorop-Florea, Ciprian Laurențiu\nPătru, Lucian Zorilă, Cristian Marinaș, Bogdan Virgiliu Șorop, Răzvan\nCăpitănescu and Dominic Gabriel Iliescu",authors:[{id:"212459",title:"Dr.",name:"Dominic",middleName:null,surname:"Iliescu",slug:"dominic-iliescu",fullName:"Dominic Iliescu"},{id:"212490",title:"Dr.",name:"Dragusin",middleName:null,surname:"Roxana",slug:"dragusin-roxana",fullName:"Dragusin Roxana"},{id:"212493",title:"Dr.",name:"Pătru",middleName:null,surname:"Ciprian",slug:"patru-ciprian",fullName:"Pătru Ciprian"},{id:"212494",title:"Dr.",name:"Șorop-Florea",middleName:null,surname:"Maria",slug:"sorop-florea-maria",fullName:"Șorop-Florea Maria"},{id:"222056",title:"Dr.",name:"Cristian",middleName:null,surname:"Marinaș",slug:"cristian-marinas",fullName:"Cristian Marinaș"},{id:"222057",title:"Dr.",name:"Lucian George",middleName:null,surname:"Zorila",slug:"lucian-george-zorila",fullName:"Lucian George Zorila"},{id:"222058",title:"Dr.",name:"Bogdan Virgiliu",middleName:null,surname:"Sorop",slug:"bogdan-virgiliu-sorop",fullName:"Bogdan Virgiliu Sorop"},{id:"246816",title:"Dr.",name:"Capitanescu",middleName:null,surname:"Razvan",slug:"capitanescu-razvan",fullName:"Capitanescu Razvan"}]},{id:"58674",title:"Congenital Anomalies in Human Embryos",slug:"congenital-anomalies-in-human-embryos",totalDownloads:1475,totalCrossrefCites:0,totalDimensionsCites:0,abstract:"Morphogenesis mainly occurs during embryonic stage, and congenital anomalies also occur at that time. The Kyoto Collection, one of the largest collections of human embryos, including a lot of those with congenital anomalies, is significantly helpful for analyzing embryonic growth. From the collection, normal and abnormal embryos have been selectively presented in this chapter. Recently developed imaging technology enabled three-dimensional (3D) imaging of embryos and fetuses in high resolution. The devices available for embryonic and fetal imaging and the results obtained therefrom are introduced in this chapter. In addition, new strategies for diagnosing congenital anomalies, such as autopsy imaging and genetic analyses, are discussed.",book:{id:"6307",slug:"congenital-anomalies-from-the-embryo-to-the-neonate",title:"Congenital Anomalies",fullTitle:"Congenital Anomalies - From the Embryo to the Neonate"},signatures:"Shiori Nakano, Haruyuki Makishima and Shigehito Yamada",authors:[{id:"49486",title:"Prof.",name:"Shigehito",middleName:null,surname:"Yamada",slug:"shigehito-yamada",fullName:"Shigehito Yamada"},{id:"210777",title:"Dr.",name:"Haruyuki",middleName:null,surname:"Makishima",slug:"haruyuki-makishima",fullName:"Haruyuki Makishima"}]}],onlineFirstChaptersFilter:{topicId:"1065",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:99,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2631-5343",doi:"10.5772/intechopen.71985",isOpenForSubmission:!0}],lsSeriesList:[{id:"11",title:"Biochemistry",numberOfPublishedBooks:27,numberOfPublishedChapters:289,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:108,numberOfOpenTopics:3,numberOfUpcomingTopics:1,issn:"2631-6188",doi:"10.5772/intechopen.71852",isOpenForSubmission:!0},{id:"13",title:"Veterinary Medicine and Science",numberOfPublishedBooks:11,numberOfPublishedChapters:104,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 the president of the Travel Medicine Committee of the Pan-American Infectious Diseases Association (API), as well as the president of the Colombian Association of Infectious Diseases (ACIN). He is a member of the Committee on Tropical Medicine, Zoonoses, and Travel Medicine of ACIN. He is a vice-president of the Latin American Society for Travel Medicine (SLAMVI) and a Member of the Council of the International Society for Infectious Diseases (ISID). Since 2014, he has been recognized as a Senior Researcher, at the Ministry of Science of Colombia. He is a professor at the Faculty of Medicine of the Fundacion Universitaria Autonoma de las Americas, in Pereira, Risaralda, Colombia. He is an External Professor, Master in Research on Tropical Medicine and International Health, Universitat de Barcelona, Spain. He is also a professor at the Master in Clinical Epidemiology and Biostatistics, Universidad Científica del Sur, Lima, Peru. In 2021 he has been awarded the “Raul Isturiz Award” Medal of the API. Also, in 2021, he was awarded with the “Jose Felix Patiño” Asclepius Staff Medal of the Colombian Medical College, due to his scientific contributions to COVID-19 during the pandemic. He is currently the Editor in Chief of the journal Travel Medicine and Infectious Diseases. 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Completed the Course Medical Mycology, the Centraalbureau voor Schimmelcultures (CBS), Fungal Biodiversity Centre, Netherlands (2006). International Union of Microbiological Societies (IUMS) Fellow, and International Emerging Infectious Diseases (IEID) Fellow, Centers for Diseases Control and Prevention (CDC), Atlanta, USA. Diploma of Dermatological Scientist, Japanese Society for Investigative Dermatology. Ph.D. of Juntendo University, Japan. Bachelor’s and Master’s degree, Medicine, West China University of Medical Sciences. Chair of Sichuan Medical Association Dermatology Committee. General Secretary of The 19th Annual Meeting of Chinese Society of Dermatology and the Asia Pacific Society for Medical Mycology (2013). In charge of the Annual Medical Mycology Course over 20-years authorized by National Continue Medical Education Committee of China. Member of the board of directors of the Asia-Pacific Society for Medical Mycology (APSMM). Associate editor of Mycopathologia. Vice-chief of the editorial board of Chinses Journal of Mycology, China. Board Member and Chair of Mycology Group of Chinese Society of Dermatology.",institutionString:null,institution:{name:"Sichuan University",institutionURL:null,country:{name:"China"}}},editorTwo:null,editorThree:null},{id:"5",title:"Parasitic Infectious Diseases",coverUrl:"https://cdn.intechopen.com/series_topics/covers/5.jpg",isOpenForSubmission:!0,editor:{id:"67907",title:"Dr.",name:"Amidou",middleName:null,surname:"Samie",slug:"amidou-samie",fullName:"Amidou Samie",profilePictureURL:"https://mts.intechopen.com/storage/users/67907/images/system/67907.jpg",biography:"Dr. Amidou Samie is an Associate Professor of Microbiology at the University of Venda, in South Africa, where he graduated for his PhD in May 2008. He joined the Department of Microbiology the same year and has been giving lectures on topics covering parasitology, immunology, molecular biology and industrial microbiology. He is currently a rated researcher by the National Research Foundation of South Africa at category C2. He has published widely in the field of infectious diseases and has overseen several MSc’s and PhDs. His research activities mostly cover topics on infectious diseases from epidemiology to control. His particular interest lies in the study of intestinal protozoan parasites and opportunistic infections among HIV patients as well as the potential impact of childhood diarrhoea on growth and child development. He also conducts research on water-borne diseases and water quality and is involved in the evaluation of point-of-use water treatment technologies using silver and copper nanoparticles in collaboration with the University of Virginia, USA. He also studies the use of medicinal plants for the control of infectious diseases as well as antimicrobial drug resistance.",institutionString:null,institution:{name:"University of Venda",institutionURL:null,country:{name:"South Africa"}}},editorTwo:null,editorThree:null},{id:"6",title:"Viral Infectious Diseases",coverUrl:"https://cdn.intechopen.com/series_topics/covers/6.jpg",isOpenForSubmission:!0,editor:{id:"158026",title:"Prof.",name:"Shailendra K.",middleName:null,surname:"Saxena",slug:"shailendra-k.-saxena",fullName:"Shailendra K. Saxena",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRET3QAO/Profile_Picture_2022-05-10T10:10:26.jpeg",biography:"Professor Dr. Shailendra K. Saxena is a vice dean and professor at King George's Medical University, Lucknow, India. His research interests involve understanding the molecular mechanisms of host defense during human viral infections and developing new predictive, preventive, and therapeutic strategies for them using Japanese encephalitis virus (JEV), HIV, and emerging viruses as a model via stem cell and cell culture technologies. His research work has been published in various high-impact factor journals (Science, PNAS, Nature Medicine) with a high number of citations. He has received many awards and honors in India and abroad including various Young Scientist Awards, BBSRC India Partnering Award, and Dr. JC Bose National Award of Department of Biotechnology, Min. of Science and Technology, Govt. of India. 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Saxena",hash:"105e347b2d5dbbe6b593aceffa051efa",volumeInSeries:1,fullTitle:"Influenza - Therapeutics and Challenges",editors:[{id:"158026",title:"Prof.",name:"Shailendra K.",middleName:null,surname:"Saxena",slug:"shailendra-k.-saxena",fullName:"Shailendra K. Saxena",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRET3QAO/Profile_Picture_2022-05-10T10:10:26.jpeg",biography:"Professor Dr. Shailendra K. Saxena is a vice dean and professor at King George's Medical University, Lucknow, India. His research interests involve understanding the molecular mechanisms of host defense during human viral infections and developing new predictive, preventive, and therapeutic strategies for them using Japanese encephalitis virus (JEV), HIV, and emerging viruses as a model via stem cell and cell culture technologies. His research work has been published in various high-impact factor journals (Science, PNAS, Nature Medicine) with a high number of citations. He has received many awards and honors in India and abroad including various Young Scientist Awards, BBSRC India Partnering Award, and Dr. JC Bose National Award of Department of Biotechnology, Min. of Science and Technology, Govt. of India. Dr. Saxena is a fellow of various international societies/academies including the Royal College of Pathologists, United Kingdom; Royal Society of Medicine, London; Royal Society of Biology, United Kingdom; Royal Society of Chemistry, London; and Academy of Translational Medicine Professionals, Austria. He was named a Global Leader in Science by The Scientist. 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Saxena is a vice dean and professor at King George's Medical University, Lucknow, India. His research interests involve understanding the molecular mechanisms of host defense during human viral infections and developing new predictive, preventive, and therapeutic strategies for them using Japanese encephalitis virus (JEV), HIV, and emerging viruses as a model via stem cell and cell culture technologies. His research work has been published in various high-impact factor journals (Science, PNAS, Nature Medicine) with a high number of citations. He has received many awards and honors in India and abroad including various Young Scientist Awards, BBSRC India Partnering Award, and Dr. JC Bose National Award of Department of Biotechnology, Min. of Science and Technology, Govt. of India. Dr. Saxena is a fellow of various international societies/academies including the Royal College of Pathologists, United Kingdom; Royal Society of Medicine, London; Royal Society of Biology, United Kingdom; Royal Society of Chemistry, London; and Academy of Translational Medicine Professionals, Austria. He was named a Global Leader in Science by The Scientist. He is also an international opinion leader/expert in vaccination for Japanese encephalitis by IPIC (UK).",institutionString:"King George's Medical University",institution:{name:"King George's Medical University",institutionURL:null,country:{name:"India"}}}]},{type:"book",id:"7123",title:"Current Topics in Neglected Tropical Diseases",subtitle:null,coverURL:"https://cdn.intechopen.com/books/images_new/7123.jpg",slug:"current-topics-in-neglected-tropical-diseases",publishedDate:"December 4th 2019",editedByType:"Edited by",bookSignature:"Alfonso J. Rodriguez-Morales",hash:"61c627da05b2ace83056d11357bdf361",volumeInSeries:3,fullTitle:"Current Topics in Neglected Tropical Diseases",editors:[{id:"131400",title:"Prof.",name:"Alfonso J.",middleName:null,surname:"Rodriguez-Morales",slug:"alfonso-j.-rodriguez-morales",fullName:"Alfonso J. Rodriguez-Morales",profilePictureURL:"https://mts.intechopen.com/storage/users/131400/images/system/131400.png",biography:"Dr. Rodriguez-Morales is an expert in tropical and emerging diseases, particularly zoonotic and vector-borne diseases (especially arboviral diseases). He is the president of the Travel Medicine Committee of the Pan-American Infectious Diseases Association (API), as well as the president of the Colombian Association of Infectious Diseases (ACIN). He is a member of the Committee on Tropical Medicine, Zoonoses, and Travel Medicine of ACIN. He is a vice-president of the Latin American Society for Travel Medicine (SLAMVI) and a Member of the Council of the International Society for Infectious Diseases (ISID). Since 2014, he has been recognized as a Senior Researcher, at the Ministry of Science of Colombia. He is a professor at the Faculty of Medicine of the Fundacion Universitaria Autonoma de las Americas, in Pereira, Risaralda, Colombia. He is an External Professor, Master in Research on Tropical Medicine and International Health, Universitat de Barcelona, Spain. He is also a professor at the Master in Clinical Epidemiology and Biostatistics, Universidad Científica del Sur, Lima, Peru. In 2021 he has been awarded the “Raul Isturiz Award” Medal of the API. Also, in 2021, he was awarded with the “Jose Felix Patiño” Asclepius Staff Medal of the Colombian Medical College, due to his scientific contributions to COVID-19 during the pandemic. 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He obtained a Master’s degree in Public Health and PhD in Public Health and Epidemiology. He has a background in Clinical Medicine and has taken courses at higher diploma levels in public health from University of Transkei, Republic of South Africa, and African Medical and Research Foundation (AMREF) in Nairobi, Kenya. Dr. Kasenga worked in different places in and outside Malawi, and has held various positions, such as Licensed Medical Officer, HIV/AIDS Programme Officer, HIV/AIDS resource person in the International Department of Diakonhjemet College, Oslo, Norway. He also managed an Integrated HIV/AIDS Prevention programme for over 5 years. He is currently working as a Director for the Health Ministries Department of Malawi Union of the Seventh Day Adventist Church. Dr. Kasenga has published over 5 articles on HIV/AIDS issues focusing on Prevention of Mother to Child Transmission of HIV (PMTCT), including a book chapter on HIV testing counseling (currently in press). 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