LEADER 05084nam 2201429z- 450 001 9910639986503321 005 20231214133511.0 010 $a3-0365-5924-8 035 $a(CKB)5470000001633489 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/95820 035 $a(EXLCZ)995470000001633489 100 $a20202301d2022 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aApplied Mathematics to Mechanisms and Machines 210 $aBasel$cMDPI - Multidisciplinary Digital Publishing Institute$d2022 215 $a1 electronic resource (396 p.) 311 $a3-0365-5923-X 330 $aThis book brings together all 16 articles published in the Special Issue "Applied Mathematics to Mechanisms and Machines" of the MDPI Mathematics journal, in the section ?Engineering Mathematics?. The subject matter covered by these works is varied, but they all have mechanisms as the object of study and mathematics as the basis of the methodology used. In fact, the synthesis, design and optimization of mechanisms, robotics, automotives, maintenance 4.0, machine vibrations, control, biomechanics and medical devices are among the topics covered in this book. This volume may be of interest to all who work in the field of mechanism and machine science and we hope that it will contribute to the development of both mechanical engineering and applied mathematics. 606 $aTechnology: general issues$2bicssc 606 $aHistory of engineering & technology$2bicssc 610 $apath generation 610 $adimensional synthesis 610 $ahybrid optimization 610 $aslider-crank mechanism 610 $ahybrid compliant mechanisms 610 $apath analysis 610 $anumerical methods 610 $aelliptic integrals 610 $akinematics 610 $aLevenberg?Marquardt algorithm 610 $aconvergence 610 $aneural networks 610 $alocal minima 610 $aoptimization 610 $athree-legged parallel mechanism 610 $acompliant mechanism 610 $aflexure-based mechanism 610 $aflexure 610 $acompliant joint 610 $adecoupled motion 610 $acoupled motion 610 $astiffness 610 $acompliance 610 $asuspension algorithm 610 $apredictive suspension 610 $aland vehicle 610 $asprung mass 610 $aautoencoder 610 $aaeroengine 610 $adenoising 610 $aGRU 610 $arotordynamic 610 $aadaptive rejection control 610 $asinusoidal disturbance 610 $aflexible rotor 610 $ahydrodynamic journal bearing 610 $asix-bar mechanism 610 $adynamic balancing 610 $afully Cartesian coordinates 610 $amultiobjective optimization 610 $adifferential evolution 610 $aPareto front 610 $aserial robotic manipulators 610 $asingularity identification 610 $ageometric algebra 610 $arotor group 610 $adistance to a singularity 610 $aair flow medical sensor 610 $aemergency air flow sensor 610 $alow-cost air flow sensor 610 $ananostructures 610 $aCOVID-19 610 $aFEM analysis 610 $abiomechanics 610 $aeffort mathematical models 610 $aNMR reconstruction 610 $areverse engineering 610 $aelbow joint 610 $azipper-coupled tubes 610 $aMiura-ori pattern 610 $adeployable mechanism 610 $aorigami inspired design 610 $asmooth sheet attachment 610 $arelative rotation 610 $ajump 610 $asafe basin 610 $afractal 610 $aheteroclinic bifurcation 610 $adelayed feedback 610 $ahelical spring 610 $avibration 610 $aFrenet trihedral 610 $adispersion relation 610 $anatural frequency 610 $aapproximate entropy 610 $anon-linear systems 610 $aphase space reconstruction 610 $afault classification 610 $arandom forest 610 $asupport vector machines 610 $alateral dynamics 610 $atrack parameters 610 $avehicle mathematical modeling 610 $asafety vehicle index 615 7$aTechnology: general issues 615 7$aHistory of engineering & technology 700 $aRubio Alonso$b Higinio$4edt$01279699 702 $aCaballero$b Alejandro$4edt 702 $aMeneses Alonso$b Jesus$4edt 702 $aSoriano-Heras$b Enrique$4edt 702 $aRubio Alonso$b Higinio$4oth 702 $aCaballero$b Alejandro$4oth 702 $aMeneses Alonso$b Jesus$4oth 702 $aSoriano-Heras$b Enrique$4oth 906 $aBOOK 912 $a9910639986503321 996 $aApplied Mathematics to Mechanisms and Machines$93015857 997 $aUNINA LEADER 04024nam 2200469z- 450 001 9910220057103321 005 20210212 035 $a(CKB)3800000000216207 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/57088 035 $a(oapen)doab57088 035 $a(EXLCZ)993800000000216207 100 $a20202102d2016 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aProducing and Analyzing Macro-Connectomes: Current State and Challenges 210 $cFrontiers Media SA$d2016 215 $a1 online resource (139 p.) 225 1 $aFrontiers Research Topics 311 08$a2-88919-981-9 330 $aConstruction of comprehensive and detailed brain regions neuroanatomical connections matrices (macro-connectomes) is necessary to understand how the nervous system is organized and to elucidate how its different parts interact. Macro-connectomes also are the structural foundation of any finer granularity approaches at the neuron classes and types (meso-connectomes) or individual neuron (micro-connectomes) levels. The advent of novel neuroanatomical methods, as well as combinations of classic techniques, form the basis of several large scale projects with the ultimate goal of producing publicly available connectomes at different levels. A parallel approach, that of systematic and comprehensive collation of connectivity data from the published literature and from publicly accessible neuroinformatics platforms, has produced macro-connectomes of different parts of the central nervous system (CNS) in several mammalian species. The emergence of these public platforms that allow for the manipulation of rich connectivity data sets and enable the construction of CNS macro-connectomes in different species may have significant and long lasting implications. Moreover, when these efforts are leveraged by novel statistical methods, they may influence our way of thinking about the brain. Hence, the present brain region-centric paradigm may be challenged by a network-centric one. Ultimately, these projects will provide the information and knowledge for understanding how different neuronal parts communicate and function, developing novel approaches to diseases and disorders, and facilitating translational efforts in neurosciences. With this Research Topic we bring together the current state of macro-connectome related projects including the large scale production of thousands of publicly available neuronatomical experiments, databases with tens of thousands of connectivity records collated from the published literature, and the newest methods for displaying and analyzing this information. This topic also includes a wide range of challenges and how they are addressed - from platforms designed to integrate connectivity data across different sources, species and CNS levels of organization, to languages specifically designed to use these data in models at different scales of resolution, to efforts of 3D reconstruction and data integration, and to approaches for extraction and representation of this knowledge. Finally, we address the present state of different efforts of meso-connectomes construction, and of computational modeling in the context of the 517 $aProducing and Analyzing Macro-Connectomes 606 $aNeurosciences$2bicssc 610 $abrain connectivity 610 $abrain map 610 $aBrain region 610 $aComputational Neuroanatomy 610 $afunctional connectivity 610 $amacro-connectome 610 $aneuroanatomy data 610 $aneuroinformatics 610 $astructural networks 615 7$aNeurosciences 700 $aBota$b Mihail$4auth$01738077 702 $aKaiser$b Marcus$4auth 702 $aCrook$b Sharon$4auth 906 $aBOOK 912 $a9910220057103321 996 $aProducing and Analyzing Macro-Connectomes: Current State and Challenges$94160080 997 $aUNINA