LEADER 03979nam 22006732 450 001 9910823266103321 005 20160309115554.0 010 $a1-107-23268-6 010 $a1-299-25740-2 010 $a1-107-33284-2 010 $a1-107-33221-4 010 $a1-107-33450-0 010 $a1-107-33533-7 010 $a1-139-04790-6 035 $a(CKB)3460000000128970 035 $a(OCoLC)847636509 035 $a(CaPaEBR)ebrary10659337 035 $a(SSID)ssj0000833477 035 $a(PQKBManifestationID)11519917 035 $a(PQKBTitleCode)TC0000833477 035 $a(PQKBWorkID)10935855 035 $a(PQKB)11184462 035 $a(UkCbUP)CR9781139047906 035 $a(MiAaPQ)EBC1139547 035 $a(Au-PeEL)EBL1139547 035 $a(CaPaEBR)ebr10659337 035 $a(CaONFJC)MIL456990 035 $a(OCoLC)829459933 035 $a(PPN)261285203 035 $a(EXLCZ)993460000000128970 100 $a20110304d2013|||| uy| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aIntroduction to statistical methods for biosurveillance $ewith an emphasis on syndromic surveillance /$fRonald D. Fricker, Jr$b[electronic resource] 210 1$aCambridge :$cCambridge University Press,$d2013. 215 $a1 online resource (xvi, 399 pages) $cdigital, PDF file(s) 300 $aTitle from publisher's bibliographic system (viewed on 05 Oct 2015). 311 $a0-521-19134-3 311 $a1-107-32640-0 320 $aIncludes bibliographical references and indexes. 327 $aMachine generated contents note: Part I. Introduction to Biosurveillance: 1. Overview; 2. Biosurveillance data; Part II. Situational Awareness: 3. Situational awareness for biosurveillance; 4. Descriptive statistics for displaying the situation; 5. Statistical models for evaluating the situation; Part III. Early Event Detection: 6. Design and performance evaluation; 7. Univariate temporal methods; 8. Multivariate temporal methods; 9. Spatio-temporal methods; Part IV. Putting It All Together: 10. Simulating biosurveillance data; 11. Applying the temporal methods to real data; 12. Comparing methods to better understand and improve; 13. Frontiers, open questions, and future research. 330 $aBioterrorism is not a new threat, but in an increasingly interconnected world, the potential for catastrophic outcomes is greater today than ever. The medical and public health communities are establishing biosurveillance systems designed to proactively monitor populations for possible disease outbreaks as a first line of defense. The ideal biosurveillance system should identify trends not visible to individual physicians and clinicians in near-real time. Many of these systems use statistical algorithms to look for anomalies and to trigger epidemiologic investigation, quantification, localization and outbreak management. This book discusses the design and evaluation of statistical methods for effective biosurveillance for readers with minimal statistical training. Weaving public health and statistics together, it presents basic and more advanced methods, with a focus on empirically demonstrating added value. Although the emphasis is on epidemiologic and syndromic surveillance, the statistical methods can be applied to a broad class of public health surveillance problems. 606 $aPublic health surveillance 606 $aPublic health surveillance$xStatistical methods 606 $aEpidemics$xPrevention 615 0$aPublic health surveillance. 615 0$aPublic health surveillance$xStatistical methods. 615 0$aEpidemics$xPrevention. 676 $a363.325/3 700 $aFricker$b Ronald D.$f1960-$0904733 801 0$bUkCbUP 801 1$bUkCbUP 906 $aBOOK 912 $a9910823266103321 996 $aIntroduction to statistical methods for biosurveillance$94061384 997 $aUNINA LEADER 05121nam 22006495 450 001 9910743342003321 005 20231120191500.0 010 $a9789811668517 010 $a9811668515 010 $a9789811668500 010 $a9811668507 024 7 $a10.1007/978-981-16-6851-7 035 $a(MiAaPQ)EBC6882523 035 $a(Au-PeEL)EBL6882523 035 $a(CKB)21069305200041 035 $a(PPN)260828408 035 $a(DE-He213)978-981-16-6851-7 035 $a(EXLCZ)9921069305200041 100 $a20220202d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aManagement by Eidetic Intuition $eA Dynamic Management Theory Predicated on the "Philosophy of Empathy" /$fby Ikujiro Nonaka, Ichiro Yamaguchi 205 $a1st ed. 2022. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Palgrave Macmillan,$d2022. 215 $a1 online resource (245 pages) 225 1 $aThe Nonaka Series on Knowledge and Innovation,$x3005-0073 300 $aIncludes index. 311 08$aPrint version: Nonaka, Ikujiro Management by Eidetic Intuition Singapore : Springer Singapore Pte. Limited,c2022 9789811668500 327 $aPart 1: What is so great about phenomenology? -- Chapter 1: Phenomenology is a voracious discipline -- Chapter 2: The method of eidetic intuition -- Chapter 3: "Bracketing" our prejudices -- Chapter 4: The difference between "sensations" and "perceptions" -- Chapter 5: What is the "present"? -Retentional and protentional intentionality -- Chapter 6: Phenomenology, Neuroscience, and Buddhism -- Chapter 7: The Twofold Intersubjectivity -- Part 2: The essence of phenomenological management -- Chapter 8: The SECI Model: Knowledge Creation in the Cycle of Subjectivity and Objectivity -- Chapter 9: How to Foster Intersubjectivity -- Chapter 10: Methods of Collective Eidetic Intuition -- Chapter 11: Narrative Strategy -- Chapter 12: Synthesis of Phenomenology and Management Studies. 330 $aThis book, by one of world's most innovative business scholars and a pioneering philosopher of Edmund Husserl, creatively applies insights from neuroscience, philosophy of experience called "phenomenology" to highly successful and intuitive method of business management. Based on phenomenological insights, they argue that empathy and intuition are as central, if not more, to the success of business innovation or strategy as an objective and analytic approach to business thinking and practice. To clarify how intuition works and why it is so essential, this book delves into the mechanism of empathy and human consciousness and how to take advantage of it for business practice. By incorporating new understandings from neuroscience and AI research, they proposes an organizational structure and a way of strategizing to embrace human innovation in its full complexity to lead business scholars, managers, and entrepreneurs to their own success in business. Ikujiro Nonaka is Professor Emeritus of Hitotsubashi University. He has won wide-ranging recognition for his work in developing the theory of Knowledge-based Management. He was also appointed a Xerox Distinguished Faculty Scholar of the University of California in 1997 and was elected to the Fellows Group of the Academy of Management in the United States in 2002, becoming the first Asian scholar among the Group's members. He was Dean of the Graduate School of Knowledge Science, Japan Advanced Institute of Science and Technology, from 1997 to 2000. Previously, he was Professor (1982-95) and Director (1995-98) at the Institute of Business Research, Hitotsubashi University. Ichiro Yamaguchi taught Philosophy and Japanese in the departments of Economic Science at the University of Witten-Herdecke in Germany (1990 - 94), was Full Professor of philosophy at T?y? University in Tokyo. He retired in 2013 and has been Emeritus Professor since 2015. Yuko Ishihara is currently an Associate Professor at the College of Global Liberal Arts at Ritsumeikan University. After completing her PhD at the University of Copenhagen in 2017, she was a Visiting Scholar at the Institute for Advanced Study in Princeton from February 2017 to March 2019. 410 0$aThe Nonaka Series on Knowledge and Innovation,$x3005-0073 606 $aManagement 606 $aPersonnel management 606 $aInternational business enterprises 606 $aManagement 606 $aHuman Resource Management 606 $aInternational Business 615 0$aManagement. 615 0$aPersonnel management. 615 0$aInternational business enterprises. 615 14$aManagement. 615 24$aHuman Resource Management. 615 24$aInternational Business. 676 $a616.8914 700 $aNonaka$b Ikujiro$0117513 702 $aYamaguchi$b Ichiro? 702 $aIshihara$b Yuko 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910743342003321 996 $aManagement by eidetic intuition$93559938 997 $aUNINA