08460nam 2202305z- 450 991055743020332120231214133104.0(CKB)5400000000043421(oapen)https://directory.doabooks.org/handle/20.500.12854/68380(EXLCZ)99540000000004342120202105d2021 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierNew Advances in High-Entropy AlloysBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20211 electronic resource (652 p.)3-03943-619-8 3-03943-620-1 In recent years, people have tended to adjust the degree of order/disorder to explore new materials. The degree of order/disorder can be measured by entropy, and it can be divided into two parts: topological disordering and chemical disordering. The former mainly refers to order in the spatial configuration, e.g., amorphous alloys which show short-range ordering but without long-range ordering, while the latter mainly refers to the order in the chemical occupancy, that is to say, the components can replace each other, and typical representatives are high-entropy alloy (HEAs). HEAs, in sharp contrast to traditional alloys based on one or two principal elements, have one striking characteristic: their unusually high entropy of mixing. They have not received much noticed until the review paper entitled “Microstructure and Properties of High-Entropy Alloys” was published in 2014 in the journal of Progress in Materials Science. Numerous reports have shown they exhibit five recognized performance characteristics, namely, strength–plasticity trade-off breaking, irradiation tolerance, corrosion resistance, high-impact toughness within a wider temperature range, and high thermal stability. So far, the development of HEAs has gone through three main stages: 1. Quinary equal-atomic single-phase solid solution alloys; 2. Quaternary or quinary non-equal-atomic multiphase alloys; 3. Medium-entropy alloys, high-entropy fibers, high-entropy films, lightweight HEAs, etc. Nowadays, more in-depth research on high-entropy alloys is urgently needed.Research & information: generalbicsschigh-entropy alloysalloys designlightweight alloyshigh entropy alloyselemental additionannealing treatmentmagnetic propertymicrohardnessin situ X-ray diffractiongrain refinementthermoelectric propertiesscandium effectHEAhigh-entropy alloyCCAcompositionally complex alloyphase compositionmicrostructurewear behaviourmetal matrix compositesmechanical propertieshigh-entropy filmsphase structureshardnesssolid-solutioninterstitial phasetransmission electron microscopycompositionally complex alloysCrFeCoNi(Nb,Mo)corrosionsulfuric acidsodium chlorideentropymulticomponentdifferential scanning calorimetry (DSC)specific heatstacking-fault energydensity functional theorynanoscaled high-entropy alloysnanodisturbancesphase transformationsatomic-scale unstablemechanical alloyingspark plasma sinteringnanoprecipitatesannealingphase constituention irradiationhardening behaviorvolume swellingmedium entropy alloyhigh-pressure torsionpartial recrystallizationtensile strengthhigh-entropy alloys (HEAs)phase constitutionmagnetic propertiesCurie temperaturephase transitionprecipitationstrengtheningcoherent microstructureconventional alloysnanocrystalline materialshigh entropy alloysputteringdeformation and fracturestrain rate sensitivityliquid phase separationimmiscible alloysHEAsmulticomponent alloysmiscibility gapsmulti-principal element alloysMPEAscomplex concentrated alloysCCAselectron microscopyplasticity methodsplasticityserration behavioralloy designstructural metalsCALPHADsolid-solution alloyslattice distortionphase transformation(CoCrFeNi)100−xMox alloyscorrosion behaviorgamma double prime nanoparticleselemental partitioningatom probe tomographyfirst-principles calculationsbccphase stabilitycomposition scanninglaser claddinghigh-entropy alloy coatingAZ91D magnesium alloywearkineticsdeformationthermal expansiondiamondcompositepowder metallurgyadditive manufacturinglow-activation high-entropy alloys (HEAs)high-temperature structural alloysmicrostructurescompressive propertiesheat-softening resistancetensile creep behaviormicrostructural evolutioncreep mechanismfirst-principles calculationmaximum entropyelastic propertymechanical propertyrecrystallizationlaser metal depositionelemental powdergraded materialrefractory high-entropy alloyselevated-temperature yield strengthsolid solution strengthening effectbulk metallic glasscomplex stress fieldshear bandflow serrationdeformation mechanismab initioconfiguration entropymatrix formulationcluster expansioncluster variation methodmonte carlothermodynamic integration(AlCrTiZrV)-Six-N filmsnanocomposite structurerefractory high entropy alloysmedium entropy alloys, mechanical propertiesthin filmsdeformation behaviorsnanocrystallinecoatinginterfacemechanical characterizationhigh pressurepolymorphic transitionsolidificationeutectic dendriteshierarchical nanotwinsprecipitation kineticsstrengthening mechanismselongation predictionweldingHall–Petch (H–P) effectlattice constantshigh-entropy ceramicsolid-state diffusionphase evolutionmechanical behaviorshigh-entropy filmlow-activation alloysResearch & information: generalZhang Yongedt464541Zhang YongothBOOK9910557430203321New Advances in High-Entropy Alloys3024610UNINA03233nam 2200637z- 450 991058020800332120231214133340.0(CKB)5690000000012008(oapen)https://directory.doabooks.org/handle/20.500.12854/87451(EXLCZ)99569000000001200820202207d2022 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierNutrition and Women Bone HealthBaselMDPI - Multidisciplinary Digital Publishing Institute20221 electronic resource (98 p.)3-0365-4465-8 3-0365-4466-6 Nutrition is a key element that has the potential to reduce bone loss and fracture risk. While nutrition has become one of many variables that can impact bone health, there is a need to formulate and maintain nutritional approaches and techniques for the prevention and treatment of bone health-associated disorders that may affect women's health. This book, compiling articles published during 2021–2022, belongs to the Topical Collection " Nutrition and Women Bone Health". The application of the knowledge presented here may subsequently provide further support for preventive approaches based on population-based interventions. Key major topics related to the relationship between different nutrients and women's bone health are discussed using high-quality research methodologies, including randomized clinical trials and observational studies, all of which are led by notable nutritional and clinical researchers. The Guest Editor intends for this book to contribute to expanding the body of knowledge on bone health and nutrition in women as well as highlight the pivotal role that this interaction plays in human health throughout populations. The findings represent a beginning point for future research, which should progressively be focused on experimental investigations with diverse populations and demographic groups in order to further understand the link between nutrition and bone health in women.Research & information: generalbicsscBiology, life sciencesbicsscFood & societybicsscbone massdietary total antioxidant capacityKNHANESmenopauseosteoporosisfatty acidsn-3 PUFAsbone mineral densitypostmenopausebotanicalsherbspostmenopausal womenvitamin Dbone remodelingcheeseenriched dairyvitamin Ebone turnoverosteopeniatocopherolbone marker turnoverbone healthResearch & information: generalBiology, life sciencesFood & societyMoran Jose Medt1304518Moran Jose MothBOOK9910580208003321Nutrition and Women Bone Health3027518UNINA04289nam 2200553z- 450 991055725430332120231214133545.0(CKB)5400000000041414(oapen)https://directory.doabooks.org/handle/20.500.12854/73781(EXLCZ)99540000000004141420202111d2020 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierThe Search for Biological Active Agent(s) From Actinobacteria, 2nd EditionFrontiers Media SA20201 electronic resource (312 p.)2-88963-639-9 There is a large market demand for new drugs. The existing chronic or common ailments without cures, development of new diseases with unknown causes, and the widespread existence of antibiotic-resistant pathogens, have driven this field of research further by looking at all potential sources of natural products. To date, microbes have made a significant contribution to the health and well-being of people globally. The discoveries of useful metabolites produced by microbes have resulted in a significant proportion of pharmaceutical products in today’s market. Therefore, the investigation and identification of bioactive compound(s) producing microbes is always of great interest to researchers. Actinobacteria are one of the most important and efficient groups of natural metabolite producers. Among the numerous genera, Streptomyces have been recognized as prolific producers of useful natural compounds, as they provide more than half of the naturally-occurring antibiotics isolated to-date and continue to emerge as the primary source of new bioactive compounds. Certainly, these potentials have attracted ample research interest and a wide range of biological activities have been subsequently screened by researchers with the utilization of different In vitro and In vivo model of experiments. Literature evidence has shown that a significant number of interesting compounds produced by Actinobacteria were exhibiting either strong anticancer or neuroprotective activity. The further in depth studies have then established the modulation of apoptotic pathway was involved in those observed bioactivities. These findings indirectly prove the biopharmaceutical potential possessed by Actinobacteria and at the same time substantiate the importance of diverse pharmaceutical evaluations on Actinobacteria. In fact, many novel compounds discovered from Actinobacteria with strong potential in clinical applications have been developed into new drugs by pharmaceutical companies. Together with the advancement in science and technology, it is predicted that there would be an expedition in discoveries of new bioactive compounds producing Actinobacteria from various sources, including soil and marine sources. In light of these current needs, and great interest in the scope of this research, this book seeks to contribute on the investigation of different biological active compound(s) producing actinobacteria which are exhibiting antimicrobial, antioxidant, neuroprotective, anticancer activities and similar.Search for Biological Active AgentScience: general issuesbicsscMedical microbiology & virologybicsscMicrobiology (non-medical)bicsscactinobacteriadrug discoveryStreptomycesbioactivenext generationmarineterrestrialScience: general issuesMedical microbiology & virologyMicrobiology (non-medical)Lee Learn-Hanedt1326374Chan Kok-GanedtStach JemedtWellington Elizabeth M. HedtGoh Bey-HingedtLee Learn-HanothChan Kok-GanothStach JemothWellington Elizabeth M. HothGoh Bey-HingothBOOK9910557254303321The Search for Biological Active Agent(s) From Actinobacteria, 2nd Edition3038216UNINA07003nam 22006375 450 991078934910332120200701195532.00-8176-8142-610.1007/978-0-8176-8142-5(CKB)3400000000087460(SSID)ssj0001295699(PQKBManifestationID)11986887(PQKBTitleCode)TC0001295699(PQKBWorkID)11348347(PQKB)10829192(DE-He213)978-0-8176-8142-5(MiAaPQ)EBC3072234(PPN)237957043(EXLCZ)99340000000008746020121227d1996 u| 0engurnn|008mamaatxtccrAdaptive Systems[electronic resource] An Introduction /by Iven Mareels, Jan Willem Polderman1st ed. 1996.Boston, MA :Birkhäuser Boston :Imprint: Birkhäuser,1996.1 online resource (XVII, 342 p.) Systems & Control: Foundations & Applications,2324-9749Bibliographic Level Mode of Issuance: Monograph0-8176-3877-6 1-4612-6414-6 Includes bibliographical references and index.1 Adaptive Systems -- 1.1 Introduction -- 1.2 Adaptive systems: examples -- 1.3 General structure of adaptive control systems -- 1.4 Illustrating the concepts -- 1.5 Summary of chapter -- 1.6 Notes and references -- 1.7 Exercises -- 2 Systems And Their Representations -- 2.1 Introduction -- 2.2 Notation -- 2.3 The behavior -- 2.4 Latent variables -- 2.5 Equivalent representations -- 2.6 Controllability -- 2.7 Observability -- 2.8 Stability -- 2.9 Elimination of Latent variables -- 2.10 The ring ?[?,??1] -- 2.11 An example -- 2.12 A word about the notation -- 2.13 Summary of chapter -- 2.14 Notes and references -- 3 Adaptive systems : principles of identification -- 3.1 Introduction -- 3.2 Object of interest and model class -- 3.3 Identification criterion and algorithms -- 3.4 Data model assumptions -- 3.5 Analysis of identification algorithms -- 3.6 Persistency of excitation -- 3.7 Summary of chapter -- 3.8 Notes and references -- 3.9 Exercises -- 4 Adaptive Pole Assignment -- 4.1 Introduction -- 4.2 Preliminaries -- 4.3 The system and its representations -- 4.4 Equilibrium analysis -- 4.5 An algorithm for adaptive pole assignment -- 4.6 Analysis of the algorithm -- 4.7 Filtered signals -- 4.8 Modification of the projection algorithm -- 4.9 Summary of chapter -- 4.10 Notes and references -- 4.11 Exercises -- 5 Direct Adaptive Model Reference Control -- 5.1 Introduction -- 5.2 Basic problem definition -- 5.3 Model reference control: nonadaptive solution -- 5.4 Error model construction -- 5.5 Equilibrium analysis -- 5.6 Adaptive algorithm -- 5.7 Analysis of the adaptive system -- 5.8 Adaptive model reference control with disturbance rejection -- 5.9 Summary of chapter -- 5.10 Notes and references -- 5.11 Exercises -- 6 Universal Controllers -- 6.1 Introduction -- 6.2 Existence of solutions -- 6.3 The first order case -- 6.4 Higher order systems -- 6.5 Mårtensson’s algorithm -- 6.6 Summary of chapter -- 6.7 Notes and references -- 6.8 Exercises -- 7 The pole/zero cancellation problem -- 7.1 Introduction -- 7.2 The pole/zero cancellation problem in adaptive control -- 7.3 Combining direct and indirect adaptive control -- 7.4 Adaptive Excitation -- 7.5 A more fundamental viewpoint -- 7.6 Conclusions -- 7.7 Summary of chapter -- 7.8 Notes and references -- 7.9 Exercises -- 8 Averaging Analysis For Adaptive Systems -- 8.1 Introduction -- 8.2 Averaging -- 8.3 Transforming an adaptive system into standard form -- 8.4 Averaging approximation -- 8.5 Application: the MIT rule for adaptive control -- 8.6 Application: echo cancellation in telephony -- 8.7 Summary of chapter -- 8.8 Notes and references -- 8.9 Exercises -- 9 Dynamics of adaptive systems: A case study -- 9.1 Introduction -- 9.2 The example -- 9.3 Global analysis and bifurcations -- 9.4 Adaptive system behavior: ideal case -- 9.5 Adaptive system behavior: undermodelled case -- 9.6 Discussion -- 9.7 Summary of chapter -- 9.8 Notes and References -- 9.9 Exercises -- Epilogue -- A Background material -- A.1 A contraction result -- A.2 The Comparison Principle -- A.2.1 Bellman-Gronwall Lemma -- A.2.2 Perturbed linear stable systems -- A.3 Miscellaneous stability results -- A.3.1 Stability Definitions -- A.3.2 Some Lyapunov stability results -- A.4 Detectability -- A.5 An inequality for linear systems -- A.6 Finite horizon averaging result -- A.7 Maple code for solving Lyapunov equations -- A.8 Maple code for fixed points and two periodic solutions.Loosely speaking, adaptive systems are designed to deal with, to adapt to, chang­ ing environmental conditions whilst maintaining performance objectives. Over the years, the theory of adaptive systems evolved from relatively simple and intuitive concepts to a complex multifaceted theory dealing with stochastic, nonlinear and infinite dimensional systems. This book provides a first introduction to the theory of adaptive systems. The book grew out of a graduate course that the authors taught several times in Australia, Belgium, and The Netherlands for students with an engineering and/or mathemat­ ics background. When we taught the course for the first time, we felt that there was a need for a textbook that would introduce the reader to the main aspects of adaptation with emphasis on clarity of presentation and precision rather than on comprehensiveness. The present book tries to serve this need. We expect that the reader will have taken a basic course in linear algebra and mul­ tivariable calculus. Apart from the basic concepts borrowed from these areas of mathematics, the book is intended to be self contained.Systems & Control: Foundations & Applications,2324-9749System theoryMathematical modelsProbabilitiesSystems Theory, Controlhttps://scigraph.springernature.com/ontologies/product-market-codes/M13070Mathematical Modeling and Industrial Mathematicshttps://scigraph.springernature.com/ontologies/product-market-codes/M14068Probability Theory and Stochastic Processeshttps://scigraph.springernature.com/ontologies/product-market-codes/M27004System theory.Mathematical models.Probabilities.Systems Theory, Control.Mathematical Modeling and Industrial Mathematics.Probability Theory and Stochastic Processes.519Mareels Ivenauthttp://id.loc.gov/vocabulary/relators/aut1500421Polderman Jan Willemauthttp://id.loc.gov/vocabulary/relators/autBOOK9910789349103321Adaptive Systems3727086UNINA