LEADER 03372nam 22005895 450 001 9910793448003321 005 20221205051728.0 010 $a1-4875-1571-5 010 $a1-4875-1570-7 024 7 $a10.3138/9781487515706 035 $a(CKB)4100000007877967 035 $a(MiAaPQ)EBC5743866 035 $a(DE-B1597)527536 035 $a(OCoLC)1091899707 035 $a(DE-B1597)9781487515706 035 $a(MdBmJHUP)musev2_107639 035 $a(EXLCZ)994100000007877967 100 $a20200406h20192019 fg 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aUkrainian Epic and Historical Song $eFolklore in Context /$fNatalie Kononenko 210 1$aToronto : $cUniversity of Toronto Press, $d[2019] 210 4$d©2019 215 $a1 online resource (231 pages) $cillustrations 311 $a1-4875-0263-X 320 $aIncludes bibliographical references and index. 327 $aThe recording and publication of Dumy -- Kobzari and Lirnyky -- The singers of Dumy -- Turko-Tatar slavery -- The rise of the Kozaks -- Battles on land and on sea -- The Khmelnytskyi period -- Dumy about everyday life -- Songs reflecting the post-Khmelnytskyi period. 330 $a"Ukrainian epic, or dumy, were first recorded from blind mendicant minstrels in the nineteenth century. Yet they reflect events dating back to as early as the 1300's. Ukrainian epic and historical song provides new translations in contemporary English. It also explains the historical events celebrated in epic and other historical songs: fierce battles, rebellion against tyranny, the struggles of captivity, the joys of escape from slavery. Natalie Kononenko's expert translation and analysis of Ukrainian epics provides a sweeping social history of folklore that is vital to Ukrainian identity. A translation of at least one variant of every known epic is included. Whereas earlier trends in folklore scholarship emphasized genre purity and compartmentalization, Kononenko critically examines the events about which songs were sung. Her emphasis on the lives of ordinary people rather than on leaders reshapes our understanding of how epics were composed and performed. Kononenko's ground-breaking analysis also illuminates Ukrainian self-understanding and explains how songs preserve and perpetuate historical memory. Scholars interested in epic song, history, and general folklore will benefit from this work. Members of the Ukrainian diaspora will find new appreciation of Ukrainian folklore."--$cProvided by publisher 606 $aDumy, Ukrainian 606 $aDumy, Ukrainian$xHistory and criticism 610 $aUkrainian Ottoman relations. 610 $aUkrainian. 610 $aepic. 610 $ahistorical memory. 610 $ahistorical song. 610 $ahistory. 610 $anational identity. 615 0$aDumy, Ukrainian. 615 0$aDumy, Ukrainian$xHistory and criticism. 676 $a782.42162/91791 686 $acci1icc$2lacc 686 $acoll13$2lacc 700 $aKononenko$b Natalie , $4aut$4http://id.loc.gov/vocabulary/relators/aut$01125260 801 0$bDE-B1597 801 1$bDE-B1597 906 $aBOOK 912 $a9910793448003321 996 $aUkrainian Epic and Historical Song$93860192 997 $aUNINA LEADER 07029nam 2201945z- 450 001 9910557367503321 005 20220111 035 $a(CKB)5400000000042216 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/76447 035 $a(oapen)doab76447 035 $a(EXLCZ)995400000000042216 100 $a20202201d2021 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aClinical Studies, Big Data, and Artificial Intelligence in Nephrology and Transplantation 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2021 215 $a1 online resource (374 p.) 311 08$a3-0365-1134-2 311 08$a3-0365-1135-0 330 $aIn recent years, artificial intelligence has increasingly been playing an essential role in diverse areas in medicine, assisting clinicians in patient management. In nephrology and transplantation, artificial intelligence can be utilized to enhance clinical care, such as through hemodialysis prescriptions and the follow-up of kidney transplant patients. Furthermore, there are rapidly expanding applications and validations of comprehensive, computerized medical records and related databases, including national registries, health insurance, and drug prescriptions. For this Special Issue, we made a call to action to stimulate researchers and clinicians to submit their invaluable works and present, here, a collection of articles covering original clinical research (single- or multi-center), database studies from registries, meta-analyses, and artificial intelligence research in nephrology including acute kidney injury, electrolytes and acid-base, chronic kidney disease, glomerular disease, dialysis, and transplantation that will provide additional knowledge and skills in the field of nephrology and transplantation toward improving patient outcomes. 606 $aMedicine and Nursing$2bicssc 610 $a(cardiac) surgery 610 $a16S rRNA sequencing 610 $aacute kidney injury 610 $aacute rejection 610 $aallograft 610 $aallograft steatosis 610 $aanti-GBM disease 610 $aarea under the precision-recall curve (AUCPR) 610 $aarea under the receiver operating characteristic (AUROC) 610 $aartificial intelligence 610 $aartificial neural network (ANN), clinical natural language processing (clinical NLP) 610 $abig data 610 $ablood pressure 610 $abone mineral density 610 $abutyrate-producing bacteria 610 $aC/D ratio 610 $acardiovascular mortality 610 $acellular crescent 610 $achronic kidney disease 610 $achronic kidney disease (CKD) 610 $aCKD-MBD 610 $aCKD-Mineral and Bone Disorder 610 $aclinical studies 610 $acollagen type VI 610 $acomorbidity 610 $aconservative management 610 $aconversion 610 $acystatin C 610 $adeath 610 $adeceased donor 610 $adialysis 610 $adiarrhea 610 $adischarge summaries 610 $adual-energy X-ray absorptiometry 610 $aelderly 610 $aelectronic health record (EHR) 610 $aepidemiology 610 $aeradication 610 $aerythropoietin 610 $aestimated glomerular filtration rate (eGFR) 610 $aethnic disparity 610 $aEurotransplant Senior Program 610 $aeverolimus 610 $aextracellular matrix 610 $aFGF-23 610 $afibroblast growth factor 23 610 $afibrosis 610 $ageneralized linear model network (GLMnet) 610 $agenetic polymorphisms 610 $aglobal sclerosis 610 $aglomerulosclerosis 610 $aGoodpasture syndrome 610 $aGoogle TrendsTM 610 $agraft failure 610 $agraft survival 610 $agut microbiome 610 $agut microbiota 610 $ahemodialysis 610 $ahepatitis C infection 610 $ahospitalization 610 $ahyperfiltration 610 $aICD-10 billing codes 610 $aimmunosuppressed host 610 $aimmunosuppression 610 $aimmunosuppressive medication 610 $ain-hospital mortality 610 $ainflammation 610 $ainflammatory cytokines 610 $aintensive care 610 $ainterferon-free regimen 610 $akidney donor 610 $akidney injury molecule (KIM)-1 610 $akidney transplant 610 $akidney transplant recipients 610 $akidney transplantation 610 $aklotho 610 $alaboratory values 610 $alaparoscopic surgery 610 $aLCPT 610 $alifestyle 610 $alipopeliosis 610 $alive donors 610 $aliver transplantation 610 $aliving donation 610 $aliving kidney donation 610 $aliving-donor kidney transplantation 610 $along-term outcomes 610 $amachine learning 610 $amachine learning (ML) 610 $aMeltDose® 610 $ametabolism 610 $ametabolomics 610 $aminimally-invasive donor nephrectomy 610 $anephrology 610 $aNephrology 610 $aNLR 610 $ano known kidney disease (NKD) 610 $aorgan donation 610 $aoutcome 610 $aoutcomes 610 $apatent ductus arteriosus 610 $apatient survival 610 $aphenotyping 610 $aPLR 610 $apre-emptive transplantation 610 $apredictive value 610 $aprocurement kidney biopsy 610 $aprolonged ischaemic time 610 $aProteobacteria 610 $apublic awareness 610 $arandom forest (RF) 610 $arenal function 610 $arenal transplant recipient 610 $arenal transplantation 610 $arepeated kidney transplantation 610 $arisk prediction 610 $arisk stratification 610 $arobot-assisted surgery 610 $aRPGN 610 $atacrolimus 610 $atacrolimus metabolism 610 $atorquetenovirus 610 $atransplant numbers 610 $atransplantation 610 $atubular damage 610 $aurine 610 $avascular calcification 610 $aweekend effect 610 $awithdrawal 610 $a?-Klotho 615 7$aMedicine and Nursing 700 $aCheungpasitporn$b Wisit$4edt$01277893 702 $aThongprayoon$b Charat$4edt 702 $aKaewput$b Wisit$4edt 702 $aCheungpasitporn$b Wisit$4oth 702 $aThongprayoon$b Charat$4oth 702 $aKaewput$b Wisit$4oth 906 $aBOOK 912 $a9910557367503321 996 $aClinical Studies, Big Data, and Artificial Intelligence in Nephrology and Transplantation$93026967 997 $aUNINA