05090nam 2200457z- 450 991016164920332120210211(CKB)3710000001041972(oapen)https://directory.doabooks.org/handle/20.500.12854/55246(oapen)doab55246(EXLCZ)99371000000104197220202102d2016 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierOntogeny and Phylogeny of Brain Barrier MechanismsFrontiers Media SA20161 online resource (358 p.)Frontiers Research Topics2-88919-810-3 The brain functions within an internal environment that is determined and controlled by morphological structures and cellular mechanisms present at interfaces between the brain and the rest of the body. In vertebrates these interfaces are across cerebral blood vessels (blood-brain barrier) choroid plexuses (blood-cerebrospinal fluid barrier) and pia-arachnoid. There is a CSF-brain barrier in the neuroepithelium lining the ventricular system that is only present in embryos. There is now substantial evidence that many brain barrier mechanisms develop early and that in some cases they are functionally more active and even more specialized compared to adult barriers. Therefore barriers in developing brain should be viewed as adapted appropriately for the growing brain and not, as is still widely believed, immature. Considerable advances in our understanding of these barrier mechanisms have come from studies of the developing brain and invertebrates. A striking aspect, to be highlighted in this special edition, is that many of the molecular mechanisms in these very diverse species are similar despite differences in the cellular composition of the interfaces. This Frontiers Topic comprises articles in three sections: Original studies, Reviews and Myths & Misconceptions. Original articles provide new information on molecular and cellular barrier mechanisms in developing brains of primates, including human embryos (Brøchner et al., Ek et al., Errede et al.), rodents (Bauer et al., Liddelow, Strazielle & Ghersi-Egea, Saunders et al., Whish et al.), chick (Bueno et al.) and zebrafish (Henson et al.) as well as studies in drosophila (Hindle & Bainton, De Salvo et al., Limmer et al.). The Reviews section includes evolutionary perspectives of the blood-brain and blood-CSF barriers (Bueno et al., Bill & Korzh). There are also detailed reviews of the current state of understanding of different interfaces and their functional mechanisms in developing brain (Bauer et al., Strazielle & Gjersi-Egea, Liddelow, Richardson et al., Errede et al., Henson et al., Brøchner et al.) and in invertebrates (Hindle & Bainton, De Salvo et al., Limmer et al). Different aspects of the relationship between properties of the internal environment of the brain and its development are discussed. (Stolp & Molnar, Johansson, Prasongchean et al.). A neglected area, namely barriers over the surface of the brain during development is also covered (Brøchner et al.). Clinically related perspectives on barrier disruption in neonatal stroke are provided by Kratzer et al. and other aspects of dysfunction by Morretti et al. and by Palmeta et al. on the continuing problem of bilirubin toxicity. Progress in this field is hampered by many prevailing myths about barrier function, combined with methodologies that are not always appropriately selected or interpreted. These are covered in the Misconceptions, Myths and Methods section, including historical aspects and discussion of the paracellular pathway, a central dogma of epithelial and endothelial biology (Saunders et al.) and a review of markers used to define brain barrier integrity in development and in pathological conditions (Saunders et al.). Use of inappropriate markers has caused considerable confusion and unreliable interpretation in many published studies. Torbett et al. deal with the complexities of the new field of applying proteomics to understanding blood-brain barrier properties as do Huntley at al. with respect to applying modern high throughput gene expression methods (Huntley et al.). The Editorial summarizes the contributions from all authors. This includes mention of some the main unanswered but answerable questions in the field and what the impediments to progress may be.NeurosciencesbicsscBlood-Brain Barrierblood-CSF barrierChoroid PlexusdevelopmentDrosophilaEfflux mechanismsInflux mechanismsTight Junctionszebra fishNeurosciencesShane A. Liddelowauth1287763Helen B. StolpauthNorman R. SaundersauthBOOK9910161649203321Ontogeny and Phylogeny of Brain Barrier Mechanisms3020364UNINA04554nam 2201249z- 450 991055729770332120210501(CKB)5400000000041062(oapen)https://directory.doabooks.org/handle/20.500.12854/69162(oapen)doab69162(EXLCZ)99540000000004106220202105d2020 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierComputational Intelligence for Modeling, Control, Optimization, Forecasting and Diagnostics in Photovoltaic ApplicationsBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20201 online resource (280 p.)3-03943-200-1 3-03943-201-X This book is a Special Issue Reprint edited by Prof. Massimo Vitelli and Dr. Luigi Costanzo. It contains original research articles covering, but not limited to, the following topics: maximum power point tracking techniques; forecasting techniques; sizing and optimization of PV components and systems; PV modeling; reconfiguration algorithms; fault diagnosis; mismatching detection; decision processes for grid operators.History of engineering and technologybicsscadaptive neuro-fuzzy inference systemsANFISartificial neural networkartificial neural networksclear sky irradianceclustering-based PV fault detectionCOAcomplex network analysisdata fusiondeteriorationdeterministic optimization algorithmdiffractive gratingdiffractive optical elementdouble flames generation (DFG) strategyduty cycleenvironmental parametersfault prognosisfeed-forward neural networksfinite difference time domaingenetic algorithmglobal horizontal irradianceglobal optimizationgradient descenthot spotimage processingimplicit model solutionintegrated energy systemslinear approximationlong short-term memoryLSTM cellmachine learningmathematical modelingmaximum power point trackingmetaheuristic optimization algorithmmoth-flame optimizationMPPT algorithmmultiple regression modelnational power systemoptical modellingparameter extractionpartial shadingparticle swarm optimization-artificial neural networksperformances evaluationpersistent predictorphotovoltaic arrayphotovoltaic modelphotovoltaic modulephotovoltaic plantsphotovoltaic power predictionphotovoltaic systemphotovoltaic systemsphotovoltaicspublicly available weather reportsPV fleetPV power predictionPVs power output forecastingrecurrent neural networksrenewable energyself-imputationsensor networkseries-parallelsingle stage grid connected systemssingle-diode modelsmart energy managementsolar cell optimizationSolar cell parameterssolar concentratorsolar irradiationspectral beam splittingstatistical methodsustainable developmentthermal imagetwo-diode modelunsupervised learningHistory of engineering and technologyVitelli Massimoedt1297561Costanzo LuigiedtVitelli MassimoothCostanzo LuigiothBOOK9910557297703321Computational Intelligence for Modeling, Control, Optimization, Forecasting and Diagnostics in Photovoltaic Applications3024546UNINA