LEADER 02983nam 2200577 450 001 9910788884803321 005 20180613001258.0 010 $a1-4704-0798-1 035 $a(CKB)3360000000464562 035 $a(EBL)3113881 035 $a(SSID)ssj0000889220 035 $a(PQKBManifestationID)11493933 035 $a(PQKBTitleCode)TC0000889220 035 $a(PQKBWorkID)10876495 035 $a(PQKB)11481046 035 $a(MiAaPQ)EBC3113881 035 $a(RPAM)3367938 035 $a(PPN)195412613 035 $a(EXLCZ)993360000000464562 100 $a20140908h19871987 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aSome topological and geometrical structures in Banach spaces /$fN. Ghoussoub [and three others] 210 1$aProvidence, Rhode Island :$cAmerican Mathematical Society,$d1987. 210 4$d©1987 215 $a1 online resource (123 p.) 225 1 $aMemoirs of the American Mathematical Society,$x0065-9266 ;$vVolume 70, Number 378 300 $a"November 1987, Volume 70, Number 378 (end of volume)." 311 $a0-8218-2441-4 320 $aIncludes bibliographical references. 327 $a""Contents""; ""0. Introduction""; ""I. First class functions around a subset of a Polish space""; ""A. Characterizations of first class functions around sets""; ""B. Spaces of continuous functions and convergence around sets""; ""C. Compact families of first class functions around a subset of a Polish space""; ""II. Affine and first class functions around a subset of a convex compact""; ""III. Dentability and related notions in Banach spaces""; ""A. Some geometrical properties of subsets of Banach spaces""; ""B. Extension of the above properties to operators"" 327 $a""IV. Operators from L[sup(1)][0,1] into Banach spaces""""A. The structure of the positive face of the unit ball of L[sup(1)]""; ""B. Equimeasurable sets and Radon-Nikodym operators""; ""C. Sets of small oscillation and strongly regular operators""; ""D. Sets of regular oscillation and regular operators""; ""V. A characterization of strongly regular Banach spaces""; ""VI. On w*-regular sets in dual Banach spaces""; ""A. On the topological structure of w*-regular sets""; ""B. w*-regularity and the w*-Radon-Nikodym property""; ""C. Regular w*-compact convex sets"" 410 0$aMemoirs of the American Mathematical Society ;$vVolume 70, Number 378. 606 $aBanach spaces 606 $aConvexity spaces 606 $aBanach spaces$xRadon-Nikodym property 615 0$aBanach spaces. 615 0$aConvexity spaces. 615 0$aBanach spaces$xRadon-Nikodym property. 676 $a515.7/32 702 $aGhoussoub$b N$g(Nassif),$f1953- 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910788884803321 996 $aSome topological and geometrical structures in Banach spaces$93696205 997 $aUNINA LEADER 04573nam 2201045z- 450 001 9910743269303321 005 20230911 035 $a(CKB)5690000000228615 035 $a(oapen)doab113912 035 $a(EXLCZ)995690000000228615 100 $a20230920c2023uuuu -u- - 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aHealth and Public Health Applications for Decision Support Using Machine Learning 210 $cMDPI - Multidisciplinary Digital Publishing Institute$d2023 215 $a1 online resource (214 p.) 311 08$a3-0365-8548-6 330 $a"Health and Public Health Applications for Decision Support Using Machine Learning" is a reprint that explores the intersection of machine learning and health sciences. It presents a collection of research and innovations showcasing how data-driven algorithms can transform patient care, disease diagnosis, and public health management. The reprint covers a wide range of topics, including natural language processing for biomedical relation extraction, ensemble learning for blood glucose level forecasting in diabetes management, machine learning for predicting walking stability and fall risk among the elderly, deep learning for pneumonia-infected lung volume quantification, and more.The reprint also discusses applications in precision medicine, early detection of renal damage, cardiac health monitoring, stress classification for mental health assessment, and early diagnosis of intracranial internal carotid artery stenosis. It emphasizes the role of machine learning in managing health crises, such as COVID-19 detection using ECG, voice, and X-ray systems, and reviews AI models in diagnosing adult-onset dementia disorders.Overall, this reprint aims to inspire researchers and healthcare professionals by showcasing the transformative potential of machine learning in healthcare. It hopes to encourage further research and collaboration to advance healthcare and technological innovations for a healthier future. 610 $aaction units 610 $aadult-onset dementia 610 $aAlzheimer's disease 610 $aartificial intelligence 610 $aartificial neural network 610 $aatherosclerosis 610 $aaudio visual 610 $ablood glucose 610 $aCardiac health 610 $aChemProt 610 $acolonies 610 $acomparison between manual and automated image segmentation 610 $acomputerized diagnostic systems 610 $aconvolutional neural network 610 $aCOVID-19 610 $aCOVID-19 detection 610 $aCOVID-19 severity assessment 610 $aCPR (chemical-protein relation) 610 $aCVD classification 610 $adata selection 610 $aDDI (drug-drug interaction) 610 $adeep learning 610 $adeep neural network 610 $adiabetes 610 $adiscrimination 610 $aDoppler ultrasound 610 $aECG 610 $aemotion 610 $aensemble learning 610 $agait 610 $aGAT (graph-attention network) 610 $agroup-based trajectory modeling 610 $ahemodynamic modeling 610 $aimage processing 610 $ainfected lung segmentation 610 $ainternal carotid artery 610 $alargest Lyapunov exponent (LyE) 610 $amachine learning 610 $amachine-learning models 610 $amagnetic resonance imaging 610 $aMeasurement uncertainty 610 $aMonte Carlo method 610 $amovement synergy 610 $an/a 610 $aneural networks 610 $aneuromuscular control 610 $aoverground walking 610 $apetri-plates 610 $apretrained model 610 $aprincipal component analysis (PCA) 610 $aquantification of lung disease severity 610 $arelation extraction 610 $arisk assessment tool 610 $aRNN-LSTM 610 $ascreening strategy 610 $aself-attention 610 $asignal processing 610 $aspeech 610 $astress 610 $astroke 610 $asubclinical renal damage 610 $aT5 (text-to-text transfer transformer) 610 $atime-series forecasting 610 $atransfer learning 610 $atransformer 906 $aBOOK 912 $a9910743269303321 996 $aHealth and Public Health Applications for Decision Support Using Machine Learning$93560493 997 $aUNINA LEADER 04589nam 22004453 450 001 9910647220903321 005 20260224005015.0 035 $a(CKB)5680000000300138 035 $a(MiAaPQ)EBC7192511 035 $a(Au-PeEL)EBL7192511 035 $a(OCoLC)1370497092 035 $a(NjHacI)995680000000300138 035 $a(EXLCZ)995680000000300138 100 $a20230317d2020 uy 0 101 0 $acze 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMetodika práce s t?ídním kolektivem v inkluzivní t?íd? se zam??ením na ?áky s t?lesným posti?ením $eMetodická p?íru?ka 205 $a1st ed. 210 1$aBrno :$cMasaryk University,$d2020. 210 4$d©2020. 215 $a1 online resource (272 pages) 311 08$a80-210-5578-2 327 $aU?VOD 5 -- 1 KLIMA S?KOLY A TRI?DNI? KLIMA. 7 -- 1.1 Klima s?koly - vymezeni pojmu 8 -- 1.2 Za?kladni? rysy pojmu klima s?koly 8 -- 1.3 Typy klimatu s?koly. 9 -- 1.4 Tvurci klimatu s?koly 9 -- 1.5 Co je pozitivni klima 10 -- 1.6 Klima tri?dy. 11 -- 1.7 Faktory ovlivnuji?ci? kvalitu klimatu tri?dy. 13 -- 1.8 Zkouma?ni? s?kolni?ho klimatu 20 -- 2. STRATEGIE OVLIVNOVA?NI? KLIMATU TRI?DY PODLE SPECIFIK A POTREB INTEGROVANE?HO Z?A?KA 23 -- 2.1 Z?a?k se specia?lni?mi vzdela?vaci?mi potrebami - vymezeni? pojmu 2.2 Z?a?k se zdravotni?m postiz?eni?m - z?a?k se zrakovy?m postiz?enim 24-- 2.3 Z?a?k se zdravotni?m postiz?enim - z?a?k se sluchovy?m postiz?enim 24 -- 2.3.1 Ovlivnova?ni? pracovni?ho klimatu (Stredisko rane? pe?ce, Tamtam Praha, 2013) 2.4 Z?a?k se zdravotnim postiz?enim - z?a?k s telesny?m postiz?enim -- 2.5 Z?a?k se zdravotni?m postiz?enim-z?a?k s menta?lni? retardaci. 26 -- 2.6 Z?a?k se zdravotni?m postiz?enim - z?a?k s poruchou autisticke?ho spektra. -- 2.7 Z?a?k se zdravotni?m postiz?eni?m-z?a?k s Aspergerovy?m syndromem -- 2.8 Z?a?k se zdravotni?m postiz?enim-z?a?k s ADHD 36 -- 2.9 Socia?lne znevy?hodneny? z?a?k-z rodinne?ho prostredi? s ni?zky?m sociokulturnim postavenim, ohroz?eny? socia?lne patologicky?mi jevy 37 -- 2.10 Socia?lne znevy?hodneny? z?a?k - s nari?zenou u?stavni? vy?chovou. 41 -- 2.11 Socia?lne znevy?hodneny? z?a?k - v na?hradni? rodinne? pe?ci 43 -- 2.12 Socia?lne znevy?hodneny? z?a?k-z?a?k s odlis?ny?m matersky?m jazykem (OMJ) 45 -- 3. PRI?LEZ?ITOSTI A RIZIKA VZA?JEMNY?CH VZTAHU VE SKUPINE S INTEGROVANY?M Z?A?KEM 51-- 3.1 Vy?voj vztahu ve skupine behem s?kolni? docha?zky. 52 -- 3.2 Na?mety na podporu leps?i?ho socia?lni?ho prijeti integrovany?ch z?a?ku 53 -- 3-3 S?ikana a integrovani z?a?ci. 53 -- 4. AKTIVITY A HRY PRO PODPORU POZITIVNI?HO KLIMATU TRI?DY 57 -- 4.1 Aktivity na podporu komunikace ve tri?de. 58 -- 4.2 Vyucovaci? metody vedouci? ke kriticke?mu mys?leni?.60 -- 4.3 Hry a aktivity na podporu pozitivniho klimatu. 63 -- ZA?VER. 65-- LITERATURA 66-- O AUTORCE. 70. 330 $aMetodicka? publikace je jedni?m z vy?stupu? projektu Kvalitni? inkluzivni? vzde?la?va?ni? z?a?ku? se specia?lni?mi vzde?la?vaci?mi potr?ebami na za?kladni? a str?edni? s?kole. Publikace je zame?r?ena na vy?uku z?a?ka s te?lesny?m postiz?eni?m v inkluzivni? tr?i?de?. Text je c?lene?n do tr?i? kapitol, kdy prvni? je vymezeni?m teoreticky?ch vy?chodisek. Charakterizova?no je zde te?lesne? postiz?eni? s du?razem na mozkovou obrnu spolu s uvedeni?m specifik ci?love? skupiny z?a?ku?. V kapitole je rovne?z? zahrnuto te?ma specia?lne? pedagogicke? diagnostiky. Druha? kapitola se ve?nuje vzde?la?va?ni? z?a?ka s mozkovou obrnou v inkluzivni? tr?i?de?. Tr?eti? kapitola pr?edstavuje vy?sledky vy?zkumne? c?a?sti projektu - z?a?ci se specia?lni?mi vzde?la?vaci?mi potr?ebami s te?lesny?m postiz?eni?m se zame?r?eni?m na mozkovou obrnu. 517 $aMetodika práce s t?ídním kolektivem v inkluzivní t?íd? se zam??ením na ?áky s t?lesným posti?ením 606 $aDisabilities 615 0$aDisabilities. 676 $a362.4 700 $aOpat?ilová$b Dagmar$01222657 701 $aZa?mec?ni?kova?$b Dana$f1945-$01894896 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910647220903321 996 $aMetodika práce s t?ídním kolektivem v inkluzivní t?íd? se zam??ením na ?áky s t?lesným posti?ením$94546648 997 $aUNINA