04068nam 22007454a 450 991045098210332120200520144314.01-138-81107-61-280-17734-90-203-31329-10-203-41231-1(CKB)1000000000249730(EBL)182560(OCoLC)252703725(SSID)ssj0001144573(PQKBManifestationID)12548896(PQKBTitleCode)TC0001144573(PQKBWorkID)11115009(PQKB)10153481(SSID)ssj0000150057(PQKBManifestationID)11162976(PQKBTitleCode)TC0000150057(PQKBWorkID)10239684(PQKB)10572228(MiAaPQ)EBC182560(Au-PeEL)EBL182560(CaPaEBR)ebr10162877(CaONFJC)MIL17734(EXLCZ)99100000000024973020030314d2003 uy 0engur|n|---|||||txtccrEthnic business[electronic resource] Chinese capitalism in Southeast Asia /edited by Jomo K.S. and Brian C. FolkLondon ;New York RoutledgeCurzon20031 online resource (265 p.)RoutledgeCurzon studies in the growth economies of Asia ;50Includes revised papers presented at a workshop held at the University of Malaya in 1997.0-415-37419-7 0-415-31011-3 Includes bibliographical references and index.Cover; Ethnic Business; Copyright; Contents; Illustrations; Contributors; Acknowledgements; Abbreviations; 1. Introduction; 2. Chinese capitalism in Southeast Asia; 3. The politics of 'seeing Chinese' and the evolution of a Chinese idiom of business; 4. The cultural limits of 'Confucian capitalism': power and the invention of the family among Chinese traders in Sarawak; 5. All are flexible, but some are more flexible than others: small-scale Chinese businesses in Malaysia; 6. The leading Chinese-Filipino business families in post-Marcos Philippines7. Pre-1997 Sino-Indonesian conglomerates, compared with those of other ASEAN countries8. Determinants of business capability in Thailand; 9. De-mythologizing Charoen Pokphand: an interpretive picture of the CP Group's growth and diversification; 10. Telecommunications, rents and the growth of a liberalization coalition in Thailand; 11. Japanese transnational production networks and ethnic Chinese business networks in East Asia: linkages and regional integration; Glossary; IndexThe role of ethnic Chinese business in Southeast Asia in catalyzing economic development has been hotly debated - and often misunderstood - throughout cycles of boom and bust.This book critically examines some of the key features attributed to Chinese business: business-government relations, the family firm, trust and networks, and supposed 'Asian' values. The in-depth case studies that feature in the book reveal considerable diversity among these firms and the economic and political networks in which they manoeuvre.With contributions from leading scholars and under the impressive editRoutledgeCurzon studies in the growth economies of Asia ;50.Minority business enterprisesSoutheast AsiaCongressesChineseSoutheast AsiaEconomic conditionsCongressesEntrepreneurshipSoutheast AsiaCongressesElectronic books.Minority business enterprisesChineseEconomic conditionsEntrepreneurship338.6/422/095983.25bclJomo K. S(Jomo Kwame Sundaram)846628Folk Brian C(Brian Cameron),1960-906940MiAaPQMiAaPQMiAaPQBOOK9910450982103321Ethnic business2028792UNINA02194nas 2200517- 450 99632090260331620210927213032.0(OCoLC)608228705(CKB)2320000000014958(CONSER)--2010204404(EXLCZ)99232000000001495820100421a20109999 --- aengur|||||||||||txtrdacontentcrdamediacrrdacarrierJournal of western archives[Logan, UT] :[Utah State University],[2010-]1 online resourceRefereed/Peer-reviewed2154-7149 Focuses on contemporary issues and developments in the archival and curatorial fields, particularly as they affect Western archives and manuscript repositories. Submissions that provide insights on how technological changes have affected archival theory and practice are welcome, as are those that consider collaborative efforts and projects between different cultural heritage institutions. The history of archives/special collections and the development of the archival and curatorial professions in the western United States are also of particular interest.JWAWesternArchivesJ. western archivesArchivesWest (U.S.)PeriodicalsArchivesTechnological innovationsWest (U.S.)PeriodicalsArchival resourcesfast(OCoLC)fst00814016Archivesfast(OCoLC)fst00814030ArchivesTechnological innovationsfast(OCoLC)fst00814093West (U.S.)Archival resourcesPeriodicalsWest United StatesfastPeriodicals.fastArchives, Ancient Documents & SealsArchivesArchivesTechnological innovationsArchival resources.Archives.ArchivesTechnological innovations.027.007Utah State University.JOURNAL996320902603316Journal of western archives2576914UNISA03230nam 2200709 450 991079713960332120210429200357.01-5015-0150-X1-5015-0152-610.1515/9781501501500(CKB)3710000000420347(EBL)1820373(SSID)ssj0001482330(PQKBManifestationID)12496229(PQKBTitleCode)TC0001482330(PQKBWorkID)11508592(PQKB)10943492(DE-B1597)444958(OCoLC)912323205(DE-B1597)9781501501500(Au-PeEL)EBL1820373(CaPaEBR)ebr11059834(CaONFJC)MIL808157(OCoLC)910408036(CaSebORM)9781501501524(MiAaPQ)EBC1820373(EXLCZ)99371000000042034720150609h20152015 uy 0engur|nu---|u||utxtccrMachine learning for protein subcellular localization prediction /Shibiao Wan, Man-Wai MakBerlin, Germany ;Boston, Massachusetts :De Gruyter,2015.©20151 online resource (210 p.)Description based upon print version of record.1-5015-1048-7 Includes bibliographical references and index.Front matter --Preface --Contents --List of Abbreviations --1. Introduction --2. Overview of subcellular localization prediction --3. Legitimacy of using gene ontology information --4. Single-location protein subcellular localization --5. From single- to multi-location --6. Mining deeper on GO for protein subcellular localization --7. Ensemble random projection for large-scale predictions --8. Experimental setup --9. Results and analysis --10. Properties of the proposed predictors --11. Conclusions and future directions --A. Webservers for protein subcellular localization --B. Support vector machines --C. Proof of no bias in LOOCV --D. Derivatives for penalized logistic regression --Bibliography --IndexComprehensively covers protein subcellular localization from single-label prediction to multi-label prediction, and includes prediction strategies for virus, plant, and eukaryote species. Three machine learning tools are introduced to improve classification refinement, feature extraction, and dimensionality reduction.ProteinsPhysiological transportData processingMachine learningProbabilitiesData processingBioinformatics.Computer Science.Proteomics.ProteinsPhysiological transportData processing.Machine learning.ProbabilitiesData processing.572/.696WC 7700rvkWan Shibiao1128379Mak M. W.MiAaPQMiAaPQMiAaPQBOOK9910797139603321Machine learning for protein subcellular localization prediction3751463UNINA