01003nam--2200349---450-99000235429020331620090311121634.0000235429USA01000235429(ALEPH)000235429USA0100023542920050112d1976----km-y0itay0103----baengUS||||||||001yyPublic enterpriseeconomic analysis of theory and practiceWilliam G. ShepherdLexington [etc.]Heathcopyr. 1976XVII, 238 p.23 cm20012001001-------2001338.6SHEPHERD,William G.108483ITsalbcISBD990002354290203316338.6 SHE 1 (IEP VIII 794)59549 E.C.IEP VIII00201683BKECOSIAV51020050112USA011839RSIAV39020090311USA011216Public enterprise1062394UNISA01678nam 2200385Ia 450 99639507360331620210104171635.0(CKB)3810000000018277(EEBO)2240869380(OCoLC)ocn789659961e(OCoLC)789659961(EXLCZ)99381000000001827720120426d1540 uy 0engurbn||||a|bb|The prouerbes of Salomon[electronic resource] wyth the rest of the workes as Ecclesiastes, and Sapientia and also the boke of Jesus the soune of Syrach ..Imprinted at London by Edwarde Whitchurche.[1540][583] pImprint from colophon.STC (2nd ed) suggests 1545? for publication date."Cum priuilegio ad imprimendum solum"--Colophon.Ms. note at end: "Proverbs etc 1540 This copy is unique? Not known to STC. Complete and perfect. Text is that of the 1st English Bible 1535 (it differs from both Matthews 1537 and Gr. Bible 1539). See the beautiful prayer after the general confession. G.G. 1944."First A signature and the G signature are mis-signed.Title within ornamental border (not in McK. & Ferg.), printed marginalia, initials.Signatures: A-C⁸ A-2L⁸.Imperfect: stained with some loss of text.Reproduction of original in: British Library.eebo-0018Coverdale Miles1488-1568.821808UMIUMIBOOK996395073603316The prouerbes of Salomon2337457UNISA07029nam 2201945z- 450 991055736750332120220111(CKB)5400000000042216(oapen)https://directory.doabooks.org/handle/20.500.12854/76447(oapen)doab76447(EXLCZ)99540000000004221620202201d2021 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierClinical Studies, Big Data, and Artificial Intelligence in Nephrology and TransplantationBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20211 online resource (374 p.)3-0365-1134-2 3-0365-1135-0 In 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.Medicine and Nursingbicssc(cardiac) surgery16S rRNA sequencingacute kidney injuryacute rejectionallograftallograft steatosisanti-GBM diseasearea under the precision-recall curve (AUCPR)area under the receiver operating characteristic (AUROC)artificial intelligenceartificial neural network (ANN), clinical natural language processing (clinical NLP)big datablood pressurebone mineral densitybutyrate-producing bacteriaC/D ratiocardiovascular mortalitycellular crescentchronic kidney diseasechronic kidney disease (CKD)CKD-MBDCKD-Mineral and Bone Disorderclinical studiescollagen type VIcomorbidityconservative managementconversioncystatin Cdeathdeceased donordialysisdiarrheadischarge summariesdual-energy X-ray absorptiometryelderlyelectronic health record (EHR)epidemiologyeradicationerythropoietinestimated glomerular filtration rate (eGFR)ethnic disparityEurotransplant Senior Programeverolimusextracellular matrixFGF-23fibroblast growth factor 23fibrosisgeneralized linear model network (GLMnet)genetic polymorphismsglobal sclerosisglomerulosclerosisGoodpasture syndromeGoogle TrendsTMgraft failuregraft survivalgut microbiomegut microbiotahemodialysishepatitis C infectionhospitalizationhyperfiltrationICD-10 billing codesimmunosuppressed hostimmunosuppressionimmunosuppressive medicationin-hospital mortalityinflammationinflammatory cytokinesintensive careinterferon-free regimenkidney donorkidney injury molecule (KIM)-1kidney transplantkidney transplant recipientskidney transplantationklotholaboratory valueslaparoscopic surgeryLCPTlifestylelipopeliosislive donorsliver transplantationliving donationliving kidney donationliving-donor kidney transplantationlong-term outcomesmachine learningmachine learning (ML)MeltDose®metabolismmetabolomicsminimally-invasive donor nephrectomynephrologyNephrologyNLRno known kidney disease (NKD)organ donationoutcomeoutcomespatent ductus arteriosuspatient survivalphenotypingPLRpre-emptive transplantationpredictive valueprocurement kidney biopsyprolonged ischaemic timeProteobacteriapublic awarenessrandom forest (RF)renal functionrenal transplant recipientrenal transplantationrepeated kidney transplantationrisk predictionrisk stratificationrobot-assisted surgeryRPGNtacrolimustacrolimus metabolismtorquetenovirustransplant numberstransplantationtubular damageurinevascular calcificationweekend effectwithdrawalα-KlothoMedicine and NursingCheungpasitporn Wisitedt1277893Thongprayoon CharatedtKaewput WisitedtCheungpasitporn WisitothThongprayoon CharatothKaewput WisitothBOOK9910557367503321Clinical Studies, Big Data, and Artificial Intelligence in Nephrology and Transplantation3026967UNINA