LEADER 01813nam 2200517Ia 450 001 9910701853803321 005 20120622153248.0 035 $a(CKB)5470000002421570 035 $a(OCoLC)796092796 035 $a(EXLCZ)995470000002421570 100 $a20120622d2011 ua 0 101 0 $aeng 135 $aurmn||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aConstitutive soil properties for mason sand and Kennedy Space Center$b[electronic resource] /$fMichael A. Thomas and Daniel E. Chitty 210 1$aHampton, Va. :$cNational Aeronautics and Space Administration, Langley Research Center,$d[2011] 215 $a1 online resource (v, 120 pages) $cillustrations (some color) 225 1 $aNASA/CR ;$v2011-217323 300 $aTitle from title screen (viewed on June 22, 2012). 300 $a"December 2011." 320 $aIncludes bibliographical references (page 118). 606 $aSoil sampling$2nasat 606 $aCrew Exploration Vehicle$2nasat 606 $aMathematical models$2nasat 606 $aSands$2nasat 606 $aMechanical properties$2nasat 606 $aSpacecraft landing$2nasat 606 $aGeotechnical engineering$2nasat 615 7$aSoil sampling. 615 7$aCrew Exploration Vehicle. 615 7$aMathematical models. 615 7$aSands. 615 7$aMechanical properties. 615 7$aSpacecraft landing. 615 7$aGeotechnical engineering. 700 $aThomas$b Michael A$01407612 701 $aChitty$b Daniel E$01407613 712 02$aLangley Research Center. 801 0$bGPO 801 1$bGPO 906 $aBOOK 912 $a9910701853803321 996 $aConstitutive soil properties for mason sand and Kennedy Space Center$93489535 997 $aUNINA LEADER 03085nam 2200397z- 450 001 9910136806503321 005 20210212 035 $a(CKB)3710000000631082 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/60915 035 $a(oapen)doab60915 035 $a(EXLCZ)993710000000631082 100 $a20202102d2016 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aThyroid hormone in brain and brain cells 210 $cFrontiers Media SA$d2016 215 $a1 online resource (106 p.) 225 1 $aFrontiers Research Topics 311 08$a2-88919-702-6 330 $aThyroid hormone signaling has been known for a long time to be required for proper neurodevelopment and the maintenance of cognitive functions in the adult brain. As thyroid hormone excess or deficiency is usually well handled by clinicians, research dedicated to the neural function of thyroid hormone, have not been a priority within the field. This is changing mainly for two reasons. First, new genetic diseases have been discovered, altering thyroid hormone signaling in brain (THRA, MCT8, SBP2), with neurodevelopmental consequences which are currently incurable. Second, there is a growing concern that exposition of the general population to environmental chemicals able to interfere with thyroid hormone signaling compromises children neurodevelopment or induces central disorders in adults. Finally thyroid hormone is acting directly on gene transcription, by binding nuclear receptors, and therefore is an interesting entry point to identify genetic programs controlling brain development and function. Reaching a broad understanding of the multiple processes involving thyroid hormone in brain is a tremendous task which will necessitate a multidisciplinary approach: animal genetics, molecular biology, brain imaging, developmental biology, genomics, etc... This topic will be the occasion to combine recent contributions in the field and to identify priorities for future investigations. Due to devastating consequences of congenital hypothyroidism, the neurodevelopmental consequences of altered thyroid hormone signaling have been extensively studied over the years. The discovery of new genetic diseases, the concern about the possible neurotoxicity of environmental thyroid hormone disruptors, recently renewed the interest for an important research field. This Ebook gathers reviews and original data from experts in various disciplines. It provides a broad view of ongoing research and outlines key issues for future investigation. 610 $abrain 610 $adeiodinase 610 $aneurodevelopment 610 $anuclear receptor 610 $athyroid hormone 610 $atransporter 700 $aBernal$b Juan$4auth$01769241 702 $aFlamant$b Frederic$4auth 702 $aKoibuchi$b Noriyuki$4auth 906 $aBOOK 912 $a9910136806503321 996 $aThyroid hormone in brain and brain cells$94237676 997 $aUNINA LEADER 04076nam 2200877z- 450 001 9910595066603321 005 20220916 035 $a(CKB)5680000000080867 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/92161 035 $a(oapen)doab92161 035 $a(EXLCZ)995680000000080867 100 $a20202209d2022 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aApplication of Climatic Data in Hydrologic Models 210 $aBasel$d2022 215 $a1 online resource (120 p.) 311 08$a3-0365-5066-6 311 08$a3-0365-5065-8 330 $aOver the past few decades, global warming and climate change have impacted the hydrologic cycle. Many models have been developed to simulate hydrologic processes. Obtaining accurate climatic data on local/meso, and global scales is essential for the realistic simulation of hydrologic processes. However, the limited availability of climatic data often poses a challenge to hydrologic modeling efforts. Hydrologic science is currently undergoing a revolution in which the field is being transformed by the multitude of newly available data streams. Historically, hydrologic models that have been developed to answer basic questions about the rainfall-runoff relationship, surface water, and groundwater storage/fluxes, land-atmosphere interactions, have been optimized for previously data-limited conditions. With the advent of remote sensing technologies and increased computational resources, the environment for water cycle researchers has fundamentally changed to one where there is now a flood of spatially distributed and time-dependent data. The bias in the climatic data is propagated through models and can yield estimation errors. Therefore, the bias in climatic data should be removed before their use in hydrologic models. Climatic data have been a core component of the science of hydrology. Their intrinsic role in understanding and managing water resources and developing sound water policies dictates their vital importance. This book aims to present recent advances concerning climatic data and their applications in hydrologic models. 606 $aHistory of engineering & technology$2bicssc 606 $aTechnology: general issues$2bicssc 610 $aagro-hydrology 610 $aCHIRPS 610 $aclimate change 610 $acold and humid climates 610 $acommunity participation 610 $acurve number 610 $aDiyala River basin 610 $adry zone 610 $aevapotranspiration 610 $aflood control 610 $aGPM-IMERG 610 $agroundwater recharge 610 $aHydroBudget model 610 $ahydrological models 610 $ahydrological research basin 610 $alinear regression models 610 $along-term 610 $along-term trends 610 $amulching 610 $an/a 610 $aprecipitation 610 $aprescribed fire 610 $aQuebec (Canada) 610 $arainfall 610 $arainfall data scarcity 610 $aregional-scale 610 $aRift Valley Lake Basin 610 $aSCS.CN model 610 $aseasonality 610 $aspatiotemporal variations 610 $aSri Lanka 610 $astatistical weather generator 610 $astochastic process 610 $asurface runoff 610 $atank cascade system 610 $atemperature 610 $athresholds 610 $atraditional knowledge 610 $awater governance 610 $awildfire 610 $aWilks' technique 615 7$aHistory of engineering & technology 615 7$aTechnology: general issues 700 $aValipour$b Mohammad$4edt$01328474 702 $aBateni$b Sayed M$4edt 702 $aValipour$b Mohammad$4oth 702 $aBateni$b Sayed M$4oth 906 $aBOOK 912 $a9910595066603321 996 $aApplication of Climatic Data in Hydrologic Models$93038583 997 $aUNINA