00992nam0-2200313---450-99000956759040332120120507141413.0000956759FED01000956759(Aleph)000956759FED0100095675920120507d2002----km-y0itay50------baitaITy-------001yyIgiene e disinfezione clinica nelle strutture ospedaliereprincipi e tecniche applicate per gli anni 2000A. Raitano, C. Curti, G. AgoliniMilanoEdizioni kappaduec2002XIV, 556 p.25 cmOspedaliIgieneRaitano,Antonino91405Agolini,Giuliano516373Curti,Cesarina516374ITUNINARICAUNIMARCBK99000956759040332180 XVII E 310734FFABCFFABCIgiene e disinfezione clinica nelle strutture ospedaliere847451UNINA03801nam 2200625 450 991046475260332120210429205558.03-11-039477-43-11-036287-210.1515/9783110362879(CKB)3360000000515260(EBL)1867281(SSID)ssj0001457615(PQKBManifestationID)11782711(PQKBTitleCode)TC0001457615(PQKBWorkID)11441235(PQKB)10408199(MiAaPQ)EBC1867281(DE-B1597)426729(OCoLC)908670253(DE-B1597)9783110362879(Au-PeEL)EBL1867281(CaPaEBR)ebr11049686(CaONFJC)MIL808133(EXLCZ)99336000000051526020150324h20152015 uy| 0engur||#||||||||txtccrSequences in language and text /edited by George K. Mikros, Ján MacutekBerlin ;Boston :De Gruyter Mouton,[2015]©20151 online resource (268 p.)Quantitative linguistics ;Ql69Description based upon print version of record.3-11-036273-2 Includes bibliographical references and index.Front matter --Foreword --Contents --Introduction --Linguistic Analysis Based on Fuzzy Similarity Models --Textual navigation and autocorrelation --Menzerath-Altmann law versus random model --Text length and the lambda frequency structure of a text --Linguistic Motifs --Linguistic Modelling of Sequential Phenomena --Menzerath-Altmann Law for Word Length Motifs --Is the Distribution of L-Motifs Inherited from the Word Length Distribution? --Sequential Structures in “Dalimil’s Chronicle” --Comparative Evaluation of String Similarity Measures for Automatic Language Classification --Predicting Sales Trends --Where Alice Meets Little Prince --A Probabilistic Model for the Arc Length in Quantitative Linguistics --Subject Index --Authors Index --Authors’ addressesThe edited volume Sequences in Language and Text is the first collection of original research in the area of the quantitative analysis of sequentially organized linguistic data. Linguistic sequences are extremely useful textual structures in almost all areas of Language Technology. Character and word n-grams are by far the most successful features in text classification tasks such as authorship identification, text categorization, genre classification, sentiment analysis etc. Furthermore character linguistic sequences are the basis for linguistic modeling and subsequent applications such as speech recognition, language identification etc. In addition to the above language technology oriented research, the present volume aims to give insight to the theoretical value of linguistic sequences. Sequences in texts can be produced by a number of different factors, either external to the linguistic system or by its own grammatical structure. This volume hosts contributions which will analyze linguistic sequences using quantitative methods under the synergetic theoretical framework that can explain their role in the linguistic system.Quantitative linguistics ;Ql69.Computational linguisticsResearchElectronic books.Computational linguisticsResearch.006.3/5Mikros George K.1969-Mačutek JánMiAaPQMiAaPQMiAaPQBOOK9910464752603321Sequences in language and text2479468UNINA05737nam 22009015 450 991029942940332120250609110129.094-017-9682-310.1007/978-94-017-9682-8(CKB)3710000000402955(EBL)2094230(SSID)ssj0001501088(PQKBManifestationID)11852316(PQKBTitleCode)TC0001501088(PQKBWorkID)11522207(PQKB)11557844(DE-He213)978-94-017-9682-8(MiAaPQ)EBC2094230(PPN)185484646(MiAaPQ)EBC3110049(EXLCZ)99371000000040295520150424d2015 u| 0engur|n|---|||||txtccrAdaptive Management of Social-Ecological Systems /edited by Craig R. Allen, Ahjond S. Garmestani1st ed. 2015.Dordrecht :Springer Netherlands :Imprint: Springer,2015.1 online resource (271 p.)Description based upon print version of record.94-017-9681-5 Includes bibliographical references and index.Chapter 1 Adaptive Management; Craig Allen and Ahjond Garmestani -- Chapter 2 Adaptive Management, a Personal History; C.S. Holling with Shana Sundstrom and Craig Allen -- Chapter 3 Lessons from Adaptive Management: Obstacles and Outcomes; Lance Gunderson -- Chapter 4 Adaptive Management and the Law; Melinda Harm Benson and Courtney Schultz -- Chapter 5 A Decision-Analytic Approach to Adaptive Resource Management; Fred A. Johnson and Byron K. Williams -- Chapter 6 Measuring Success of Adaptive Management Projects; Brian C. Chaffin and Hannah Gosnell -- Chapter 7 The Role of Bridging Organizations in Enhancing Ecosystems Services and Facilitating Adaptive Management of Social-Ecological Systems; Olivia O. Green, Lisen Schultz, Marmar Nekoro and Ahjond S. Garmestani -- Chapter 8 Adaptive Management for Novel Ecosystems; Nicholas A.J. Graham and Christina C. Hicks -- Chapter 9 Adaptive Co-Management; Christo Fabricius and Bianca Currie -- Chapter 10 Adaptive Management Today: A Practitioners’ Perspective; Carol Murray, David Marmorek and Lorne Greig -- Chapter 11 Practical Resilience: Building Networks of Adaptive Management; Jim Berkley and Lance Gunderson -- Chapter 12 Optimization and Resilience in Natural Resources Management; Byron K. Williams and Fred A. Johnson -- Chapter 13 Emerging Concepts in Adaptive Management; Derek Armitage, Steven Alexander, Mark Andrachuk, Samantha Berdej, Thomas Dyck, Prateep Nayak, Jeremy Pittman and Kaitlyn Rathwell -- Chapter 14 Adaptive Management of Social-Ecological Systems: The Path Forward; Ahjond Garmestani and Craig Allen -- Index.Adaptive management is an approach to managing social-ecological systems that fosters learning about the systems being managed and remains at the forefront of environmental management nearly 40 years after its original conception. Adaptive management persists because it allows action despite uncertainty, and uncertainty is reduced when learning occurs during the management process. Often termed “learning by doing”, the allure of this management approach has entrenched the concept widely in agency direction and statutory mandates across the globe. This exceptional volume is a collection of essays on the past, present and future of adaptive management written by prominent authors with long experience in developing, implementing, and assessing adaptive management. Moving forward, the book provides policymakers, managers and scientists a powerful tool for managing for resilience in the face of uncertainty.Environmental monitoringWildlifeFishesEnvironmental managementEnvironmental lawEnvironmental policyEcologySocial sciencesMonitoring/Environmental Analysishttps://scigraph.springernature.com/ontologies/product-market-codes/U1400XFish & Wildlife Biology & Managementhttps://scigraph.springernature.com/ontologies/product-market-codes/L25080Environmental Managementhttps://scigraph.springernature.com/ontologies/product-market-codes/U17009Environmental Law/Policy/Ecojusticehttps://scigraph.springernature.com/ontologies/product-market-codes/U16002Ecologyhttps://scigraph.springernature.com/ontologies/product-market-codes/L19007Social Sciences, generalhttps://scigraph.springernature.com/ontologies/product-market-codes/X00000Environmental monitoring.Wildlife.Fishes.Environmental management.Environmental law.Environmental policy.Ecology.Social sciences.Monitoring/Environmental Analysis.Fish & Wildlife Biology & Management.Environmental Management.Environmental Law/Policy/Ecojustice.Ecology.Social Sciences, general.300333.7344.046363.706336370561577590597Allen Craig R.edthttp://id.loc.gov/vocabulary/relators/edtGarmestani Ahjond S.edthttp://id.loc.gov/vocabulary/relators/edtBOOK9910299429403321Adaptive Management of Social-Ecological Systems2531228UNINA