LEADER 03041nam 22005655 450 001 9910987788703321 005 20250708000247.0 010 $a981-9757-42-8 024 7 $a10.1007/978-981-97-5742-8 035 $a(CKB)37916648100041 035 $a(DE-He213)978-981-97-5742-8 035 $a(MiAaPQ)EBC31959371 035 $a(Au-PeEL)EBL31959371 035 $a(EXLCZ)9937916648100041 100 $a20250313d2025 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aPreclinical cancer models for translational research and drug development /$fedited by Suresh P.K., Arindam Banerjee 205 $a1st ed. 2025. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2025. 215 $a1 online resource (XI, 168 p. 51 illus., 50 illus. in color.) 311 08$a981-9757-41-X 327 $aPreclinical Models for Cancer Research and Development.-Insight on the Current Advancements in the Diagnosis and Treatment of Head and Neck Cancer -- The role of oral cancer heterogeneity in therapies in various cellular and preclinical models -- In-depth analysis of Self-assembled in-vitro spheroidal and organoid systems -- Preclinical in vivo animal xenograft models -- Heterogeneity and biomarkers of therapeutic response and resistance -- Higher Order in vitro Models of dysregulated bioenergetics mechanisms and drug development -- In Silico Strategies for Cancer Model Development and Anticancer Drug Testing. 330 $aThis book provides updated information on certain in vitro and preclinical in vivo cancer models. The topics covered include an update on advancements in the diagnosis, treatment and heterogeneity in certain cancers; the development of preclinical in vitro and xenograft-based in vivo cancer models as well as their validation based on widely-accepted biomarkers; modelling of aberrations in bioenergetics in cancers. Also, the importance and latest advances of in silico modeling for the design of new and potent anti-cancer drugs has been reviewed. Cutting-edge and resourceful, this book is valuable for researchers, academicians, and professionals involved in cancer research. 606 $aCancer 606 $aCancer$xAnimal models 606 $aTumor markers 606 $aCancers 606 $aCancer Models 606 $aTumour Biomarkers 615 0$aCancer. 615 0$aCancer$xAnimal models. 615 0$aTumor markers. 615 14$aCancers. 615 24$aCancer Models. 615 24$aTumour Biomarkers. 676 $a571.978 676 $a616.994 702 $aP.K$b Suresh$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aBanerjee$b Arindam$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910987788703321 996 $aPreclinical cancer models for translational research and drug development$94337474 997 $aUNINA LEADER 03199oam 2200757I 450 001 9910959487703321 005 20251117082240.0 010 $a1-315-57412-8 010 $a1-317-15997-7 010 $a1-317-15996-9 010 $a1-282-45412-9 010 $a9786612454127 010 $a0-566-08937-8 024 7 $a10.4324/9781315574127 035 $a(CKB)2550000000005704 035 $a(EBL)476308 035 $a(OCoLC)536301283 035 $a(SSID)ssj0000358355 035 $a(PQKBManifestationID)11238988 035 $a(PQKBTitleCode)TC0000358355 035 $a(PQKBWorkID)10359851 035 $a(PQKB)11241828 035 $a(Au-PeEL)EBL476308 035 $a(CaPaEBR)ebr10362147 035 $a(CaONFJC)MIL922620 035 $a(MiAaPQ)EBC476308 035 $a(OCoLC)952728113 035 $a(EXLCZ)992550000000005704 100 $a20180706e20162010 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aConvergenomics $estrategic innovation in the convergence era /$fSang M. Lee and David L. Olson 205 $a1st ed. 210 1$aLondon ;$aNew York :$cRoutledge,$d2016. 215 $a1 online resource (217 p.) 300 $a"A Gower book"--Cover. 300 $aFirst published 2010 by Gower Publishing. 311 08$a0-566-08936-X 320 $aIncludes bibliographical references and index. 327 $aCover; Contents; List of Figures; List of Tables; Foreword; 1 Prelude to the Wave of Convergence; 2 Megatrends; 3 Convergence Revolution; 4 E-Globalization Strategy; 5 Technology Convergence; 6 Industry Convergence; 7 Molecular Economy; 8 Information Technology Supporting Convergence; 9 Innovation through Open Systems; 10 Strategic Innovation; 11 Convergence Evolution; Bibliography; Index 330 $aConvergenomics is about the megatrends that are shaping how people behave and organizations work. In this insightful analysis, Sang Lee and David Olson describe how globalization, digitization, changing demographics, changing industry mix, deregulation and privatization, commoditization of processes, new value chains, emerging new economies, deteriorating environment, and cultural conflicts have led to what they define as a convergence revolution.Lee and Olson discuss this convergence revolution from the perspectives of technology, industry, knowledge, open-source networking and bio-artificial 606 $aOrganizational change 606 $aTechnological innovations$xEconomic aspects 606 $aTechnological innovations$xSocial aspects 606 $aSocial change 615 0$aOrganizational change. 615 0$aTechnological innovations$xEconomic aspects. 615 0$aTechnological innovations$xSocial aspects. 615 0$aSocial change. 676 $a302.3 676 $a302.3/5 676 $a302.35 676 $a658.4'062 676 $a658.4'062-dc22 700 $aLee$b Sang M.$f1939-,$01873249 701 $aOlson$b David L.$f1944-$0477805 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910959487703321 996 $aConvergenomics$94483248 997 $aUNINA LEADER 07348nam 22007695 450 001 9910483363103321 005 20251226203040.0 010 $a3-642-37247-3 024 7 $a10.1007/978-3-642-37247-6 035 $a(CKB)3280000000007583 035 $a(DE-He213)978-3-642-37247-6 035 $a(SSID)ssj0000879975 035 $a(PQKBManifestationID)11569888 035 $a(PQKBTitleCode)TC0000879975 035 $a(PQKBWorkID)10853709 035 $a(PQKB)10635486 035 $a(MiAaPQ)EBC3093274 035 $a(PPN)169140121 035 $a(EXLCZ)993280000000007583 100 $a20130321d2013 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aComputational Linguistics and Intelligent Text Processing $e14th International Conference, CICLing 2013, Samos, Greece, March 24-30, 2013, Proceedings, Part I /$fedited by Alexander Gelbukh 205 $a1st ed. 2013. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2013. 215 $a1 online resource (XXV, 576 p. 117 illus.) 225 1 $aTheoretical Computer Science and General Issues,$x2512-2029 ;$v7816 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a3-642-37246-5 320 $aIncludes bibliographical references (pages 570-571) and index. 327 $aGeneral Techniques -- Unsupervised Feature Adaptation for Cross-Domain NLP with an Application to Compositionality Grading -- Syntactic Dependency-Based N-grams: More Evidence of Usefulness in Classification -- Lexical Resources -- A Quick Tour of BabelNet 1.1 (Invited paper) -- Automatic Pipeline Construction for Real-Time Annotation -- A Multilingual GRUG Treebank for Underresourced Languages -- Creating an Annotated Corpus for Extracting Canonical Citations from Classics-Related Texts by Using Active Annotation -- Approaches of Anonymisation of an SMS Corpus -- A Corpus Based Approach for the Automatic Creation of Arabic Broken Plural Dictionaries -- Temporal Classifiers for Predicting the Expansion of Medical Subject Headings -- Knowledge Discovery on Incompatibility of Medical Concepts -- Extraction of Part-Whole Relations from Turkish Corpora -- Chinese Terminology Extraction Using EM-Based Transfer Learning Method -- Orthographic Transcription for Spoken Tunisian Arabic -- Morphology and Tokenization -- An Improved Stemming Approach Using HMM for a Highly Inflectional Language -- Semi-automatic Acquisition of Two-Level Morphological Rules for Iban Language -- Finite State Morphology for Amazigh Language -- New Perspectives in Sinographic Language Processing through the Use of Character Structure -- The Application of Kalman Filter Based Human-Computer Learning Model to Chinese Word Segmentation -- Machine Learning for High-Quality Tokenization Replicating Variable Tokenization Schemes -- Syntax and Named Entity Recognition Structural Prediction in Incremental Dependency Parsing -- Semi-supervised Constituent Grammar Induction Based on Text Chunking Information -- Turkish Constituent Chunking with Morphological and Contextual Features -- Enhancing Czech Parsing with Verb Valency Frames -- An Automatic Approach to Treebank Error Detection Using a Dependency Parser -- Topic-Oriented Words as Features for Named Entity Recognition (Best Paper Award, Second Place) -- Named Entities in Judicial Transcriptions: Extended Conditional Random Fields -- Introducing Baselines for Russian Named Entity Recognition -- Word Sense Disambiguation and Coreference Resolution Five Languages Are Better Than One: An Attempt to Bypass the Data Acquisition Bottleneck for WSD (Best Paper Award, Third Place) -- Analyzing the Sense Distribution of Concordances Obtained by Web as Corpus Approach -- MaxMax: A Graph-Based Soft Clustering Algorithm Applied to Word Sense Induction -- A Model of Word Similarity Based on Structural Alignment of Subject-Verb-Object Triples -- Coreference Annotation Schema for an Inflectional Language -- Exploring Coreference Uncertainty of Generically Extracted Event Mentions -- Semantics and Discourse -- LIARc: Labeling Implicit ARguments in Spanish Deverbal Nominalizations -- Automatic Detection of Idiomatic Clauses (Best Paper Award, First Place) -- Evaluating the Results of Methods for Computing Semantic Relatedness -- Similarity Measures Based on Latent Dirichlet Allocation -- Evaluating the Premises and Results of Four Metaphor Identification Systems -- Determining the Conceptual Space of Metaphoric Expressions -- What is being Measured in an Information Graphic? -- Comparing Discourse Tree Structures -- Assessment of Different Workflow Strategies for Annotating Discourse Relations: A Case Study with HDRB -- Building a Discourse Parser for Informal Mathematical Discourse in the Context of a Controlled Natural Language -- Discriminative Learning of First-Order Weighted Abduction from Partial Discourse Explanations -- Facilitating the Analysis of Discourse Phenomena in an Interoperable NLP Platform. 330 $aThis two-volume set, consisting of LNCS 7816 and LNCS 7817, constitutes the thoroughly refereed proceedings of the 13th International Conference on Computer Linguistics and Intelligent Processing, CICLING 2013, held on Samos, Greece, in March 2013. The total of 91 contributions presented was carefully reviewed and selected for inclusion in the proceedings. The papers are organized in topical sections named: general techniques; lexical resources; morphology and tokenization; syntax and named entity recognition; word sense disambiguation and coreference resolution; semantics and discourse; sentiment, polarity, subjectivity, and opinion; machine translation and multilingualism; text mining, information extraction, and information retrieval; text summarization; stylometry and text simplification; and applications. 410 0$aTheoretical Computer Science and General Issues,$x2512-2029 ;$v7816 606 $aApplication software 606 $aData mining 606 $aInformation storage and retrieval systems 606 $aArtificial intelligence 606 $aDatabase management 606 $aComputational linguistics 606 $aComputer and Information Systems Applications 606 $aData Mining and Knowledge Discovery 606 $aInformation Storage and Retrieval 606 $aArtificial Intelligence 606 $aDatabase Management 606 $aComputational Linguistics 615 0$aApplication software. 615 0$aData mining. 615 0$aInformation storage and retrieval systems. 615 0$aArtificial intelligence. 615 0$aDatabase management. 615 0$aComputational linguistics. 615 14$aComputer and Information Systems Applications. 615 24$aData Mining and Knowledge Discovery. 615 24$aInformation Storage and Retrieval. 615 24$aArtificial Intelligence. 615 24$aDatabase Management. 615 24$aComputational Linguistics. 676 $a005.7 702 $aGelbukh$b Alexander$4edt$4http://id.loc.gov/vocabulary/relators/edt 712 12$aCICLing (Conference) 906 $aBOOK 912 $a9910483363103321 996 $aComputational Linguistics and Intelligent Text Processing$9772083 997 $aUNINA