LEADER 02914nam 2200673 450 001 9910790710303321 005 20231110223912.0 010 $a1-118-35145-2 010 $a1-118-35138-X 010 $a1-118-35142-8 010 $a1-118-35144-4 035 $a(CKB)2550000001180178 035 $a(EBL)1589133 035 $a(SSID)ssj0001084267 035 $a(PQKBManifestationID)11591850 035 $a(PQKBTitleCode)TC0001084267 035 $a(PQKBWorkID)11035610 035 $a(PQKB)10799798 035 $a(MiAaPQ)EBC1589133 035 $a(DLC) 2013020034 035 $a(Au-PeEL)EBL1589133 035 $a(CaPaEBR)ebr10827168 035 $a(CaONFJC)MIL560292 035 $a(OCoLC)843785576 035 $a(MiAaPQ)EBC7103574 035 $a(Au-PeEL)EBL7103574 035 $a(EXLCZ)992550000001180178 100 $a20140121h20142014 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aBlood science $eprinciples and pathology /$fAndrew Blann, Nessar Ahmed 210 1$aHoboken, New Jersey :$cWiley-Blackwell,$d2014. 210 4$d2014 215 $a1 online resource (558 p.) 225 1 $aNew York Academy of Sciences 300 $aIncludes index. 311 $a1-118-35146-0 311 $a1-306-29041-4 320 $aIncludes bibliographical references and index. 327 $aIntroduction to blood science -- Methods in blood science -- Red blood cells 1 : physiology -- Red blood cells 2 : pathology -- White blood cells 1 : physiology -- White blood cells 2 : pathology -- Coagulation 1 : physiology -- Coagulation 2 : pathology -- Immunopathology -- Immunogenetics and histocompatibility -- Blood transfusion -- Waste products, electrolytes and renal disease -- Hydrogen ions, pH and acid-base disorders -- Lipids, glucose, diabetes and heart disease -- Calcium, phosphate, magnesium and bone disease -- Nutrition and gastrointestinal disease -- Liver disease and plasma proteins -- Hormones and endocrine disorders -- Tumour markers and cancer -- Inherited metabolic disease -- Drugs and poisons -- Case studies in blood science. 330 $aBlood Science: Principles and Pathology, for the first time, provide a unique volume of all Biomedical Scientists need to know about Blood Science. It will assume basic knowledge to level 4 of the MSC and consequently offer a level 2/3 undergraduate, postgraduate, and specialist training text. 410 0$aNew York Academy of Sciences 606 $aBlood$xExamination 606 $aHematology 615 0$aBlood$xExamination. 615 0$aHematology. 676 $a616.07/561 700 $aBlann$b Andrew D$01543124 701 $aAhmed$b Nessar$01543125 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910790710303321 996 $aBlood science$93796436 997 $aUNINA LEADER 03950nam 22009015 450 001 9910483051303321 005 20251226204248.0 010 $a1-282-63448-8 010 $a3-642-01507-7 024 7 $a10.1007/978-3-642-01507-6 035 $a(CKB)1000000000746037 035 $a(SSID)ssj0000316041 035 $a(PQKBManifestationID)11266239 035 $a(PQKBTitleCode)TC0000316041 035 $a(PQKBWorkID)10263118 035 $a(PQKB)10652435 035 $a(DE-He213)978-3-642-01507-6 035 $a(MiAaPQ)EBC3064216 035 $a(MiAaPQ)EBC5121687 035 $a(Au-PeEL)EBL5121687 035 $a(CaONFJC)MIL263448 035 $a(OCoLC)911066013 035 $a(PPN)136300952 035 $a(EXLCZ)991000000000746037 100 $a20100301d2009 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aAdvances in Neural Networks - ISNN 2009 $e6th International Symposium on Neural Networks, ISNN 2009 Wuhan, China, May 26-29, 2009 Proceedings, Part I /$fedited by Wen Yu, Haibo He, Nian Zhang 205 $a1st ed. 2009. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2009. 215 $a1 online resource (CIV, 1221 p.) 225 1 $aTheoretical Computer Science and General Issues,$x2512-2029 ;$v5551 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a3-642-01506-9 320 $aIncludes bibliographical references and index. 327 $aTheoretical Analysis -- Stability -- Time-Delay Neural Networks -- Machine Learning -- Neural Modeling -- Decision Making Systems. 330 $aThe three volume set LNCS 5551/5552/5553 constitutes the refereed proceedings of the 6th International Symposium on Neural Networks, ISNN 2009, held in Wuhan, China in May 2009. The 409 revised papers presented were carefully reviewed and selected from a total of 1.235 submissions. The papers are organized in 20 topical sections on theoretical analysis, stability, time-delay neural networks, machine learning, neural modeling, decision making systems, fuzzy systems and fuzzy neural networks, support vector machines and kernel methods, genetic algorithms, clustering and classification, pattern recognition, intelligent control, optimization, robotics, image processing, signal processing, biomedical applications, fault diagnosis, telecommunication, sensor network and transportation systems, as well as applications. 410 0$aTheoretical Computer Science and General Issues,$x2512-2029 ;$v5551 606 $aArtificial intelligence 606 $aComputer science 606 $aComputer networks 606 $aAlgorithms 606 $aComputer science$xMathematics 606 $aDiscrete mathematics 606 $aPattern recognition systems 606 $aArtificial Intelligence 606 $aTheory of Computation 606 $aComputer Communication Networks 606 $aAlgorithms 606 $aDiscrete Mathematics in Computer Science 606 $aAutomated Pattern Recognition 615 0$aArtificial intelligence. 615 0$aComputer science. 615 0$aComputer networks. 615 0$aAlgorithms. 615 0$aComputer science$xMathematics. 615 0$aDiscrete mathematics. 615 0$aPattern recognition systems. 615 14$aArtificial Intelligence. 615 24$aTheory of Computation. 615 24$aComputer Communication Networks. 615 24$aAlgorithms. 615 24$aDiscrete Mathematics in Computer Science. 615 24$aAutomated Pattern Recognition. 676 $a006.3 701 $aHe$b Haibo$01749869 701 $aYu$b Wen$0760806 701 $aZhang$b Nian$f1970-$01749870 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483051303321 996 $aAdvances in neural networks - ISNN 2009$94184327 997 $aUNINA