00828nam0-22003011i-450-99000700034040332120011121000700034FED01000700034(Aleph)000700034FED0100070003420011121d1970----km-y0itay50------baengNLy-------001yyPublic Policy in Soviet Private International LawAndré Garnefsky2. ed.The HagueM. Nijhoff1970186 p.24 cm340.920itaGarnefsky,André412812ITUNINARICAUNIMARCBK990007000340403321X N[1] 10393814FGBCFGBCPublic Policy in Soviet Private International Law699392UNINA03919nam 22005895 450 991025403750332120200706162737.03-319-45651-210.1007/978-3-319-45651-5(CKB)3710000000981048(DE-He213)978-3-319-45651-5(MiAaPQ)EBC6301124(MiAaPQ)EBC5610872(Au-PeEL)EBL5610872(OCoLC)966242966(PPN)197136788(EXLCZ)99371000000098104820161123d2016 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierAnaerobes in Biotechnology /edited by Rajni Hatti-Kaul, Gashaw Mamo, Bo Mattiasson1st ed. 2016.Cham :Springer International Publishing :Imprint: Springer,2016.1 online resource (VIII, 472 p.) Advances in Biochemical Engineering/Biotechnology,0724-6145 ;156Includes index.3-319-45649-0 Anaerobes in Industrial and Environmental Biotechnology -- Isolation and Cultivation of Anaerobes -- Glycolysis as the Central Core of Fermentation -- Comparative Genomics of Core Metabolism Genes of Cellulolytic and Noncellulolytic Clostridium species -- Enzyme Systems of Anaerobes for Biomass Conversion -- Biotechnology of Anoxygenic Phototrophic Bacteria -- Biological Processes for Hydrogen Production -- Biogas Production – Microbiology and Technology -- Life in Anoxic Sub-seafloor Environment: Linking Microbial Metabolism and Mega Reserves of Methane Hydrate -- Anaerobes in Bioelectrochemical Systems -- Low Carbon-Fuel and Chemical Production by Anaerobic Gas Fermentation -- Anaerobic Fermentation for Production of Carboxylic Acids as Bulk Chemicals from Renewable Biomass -- Development of Anaerobic High Rate Reactors, Focusing on Sludge Bed Technology -- Anaerobic Probiotics: The Key Microbes for Human Health.-Anaerobes as Sources of Bioactive Compounds and Health Promoting Tools. .This book review series presents current trends in modern biotechnology. The aim is to cover all aspects of this interdisciplinary technology where knowledge, methods and expertise are required from chemistry, biochemistry, microbiology, genetics, chemical engineering and computer science. Volumes are organized topically and provide a comprehensive discussion of developments in the respective field over the past 3-5 years. The series also discusses new discoveries and applications. Special volumes are dedicated to selected topics which focus on new biotechnological products and new processes for their synthesis and purification. In general, special volumes are edited by well-known guest editors. The series editor and publisher will however always be pleased to receive suggestions and supplementary information. Manuscripts are accepted in English.Advances in Biochemical Engineering/Biotechnology,0724-6145 ;156MicrobiologyBiochemistryApplied Microbiologyhttps://scigraph.springernature.com/ontologies/product-market-codes/C12010Biochemistry, generalhttps://scigraph.springernature.com/ontologies/product-market-codes/L14005Microbiology.Biochemistry.Applied Microbiology.Biochemistry, general.660.62Hatti-Kaul Rajniedthttp://id.loc.gov/vocabulary/relators/edtMamo Gashawedthttp://id.loc.gov/vocabulary/relators/edtMattiasson Boedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK9910254037503321Anaerobes in Biotechnology2527074UNINA07029nam 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