LEADER 02411nam 2200601Ia 450 001 9910782180003321 005 20230620175549.0 010 $a1-282-15262-9 010 $a9786612152627 010 $a90-272-9197-7 035 $a(CKB)1000000000534958 035 $a(OCoLC)647673103 035 $a(CaPaEBR)ebrary10196557 035 $a(SSID)ssj0000110860 035 $a(PQKBManifestationID)11143288 035 $a(PQKBTitleCode)TC0000110860 035 $a(PQKBWorkID)10064941 035 $a(PQKB)10418735 035 $a(MiAaPQ)EBC622268 035 $a(Au-PeEL)EBL622268 035 $a(CaPaEBR)ebr10196557 035 $a(CaONFJC)MIL215262 035 $a(EXLCZ)991000000000534958 100 $a20070914d2007 uy 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aBeyond coherence $ethe syntax of opacity in German 210 1$aAmsterdam :$cJohn Benjamins,$d2007. 215 $a1 online resource (vii, 206 pages) $cillustrations 225 1 $aLinguistik aktuell =$aLinguistics today ;$vv. 114 300 $aBibliographic Level Mode of Issuance: Monograph 311 0 $a90-272-3378-0 327 $aBeyond Coherence; Editorial page; Title page; LCC data; Table of Contents; Preface; Introduction; I. Reduced Infinitive Constructions; II. The Possessor Dative Construction; III. Coherence By Phase; Appendix A; Appendix B; Bibliography; Name Index; Subject Index; The series Linguistik Aktuell/Linguistics Today 330 $aThe overarching theme of this volume is one of the central concerns of syntactic theory: How local is syntax, and what are the measures of syntactic locality? It is argued here that movement and anaphoric relations are governed by a unified concept of locality: the phase. 410 0$aLinguistik aktuell ;$vBd. 114. 606 $aGerman language$xSyntax 606 $aGerman language$xInfinitival constructions 606 $aGerman language$xPossessives 615 0$aGerman language$xSyntax. 615 0$aGerman language$xInfinitival constructions. 615 0$aGerman language$xPossessives. 676 $a435 700 $aLee-Schoenfeld$b Vera$01521627 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910782180003321 996 $aBeyond coherence$93760945 997 $aUNINA LEADER 03952nam 22006135 450 001 9910299957003321 005 20250609110929.0 010 $a3-319-74775-4 024 7 $a10.1007/978-3-319-74775-0 035 $a(CKB)4100000002892353 035 $a(MiAaPQ)EBC5439422 035 $a(DE-He213)978-3-319-74775-0 035 $a(PPN)225550393 035 $a(MiAaPQ)EBC5591125 035 $a(EXLCZ)994100000002892353 100 $a20180305d2018 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 12$aA Metaheuristic Approach to Protein Structure Prediction $eAlgorithms and Insights from Fitness Landscape Analysis /$fby Nanda Dulal Jana, Swagatam Das, Jaya Sil 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (xxix, 220 pages) $cillustrations 225 1 $aEmergence, Complexity and Computation,$x2194-7287 ;$v31 311 08$a3-319-74774-6 327 $aMetaheuristic Protein Structure Prediction-An Overview -- Related Works -- Continuous Landscape Analysis using Random Walk Algorithm -- Landscape Characterization and Algorithms Selection for the PSP Problem -- The Levy distributed Parameter Adaptive Metaheuristic Algorithm for Protein Structure Prediction -- Protein Structure Prediction using Improved Variants of Metaheuristic Algorithms -- Hybrid Metaheuristic Approach for Protein Structure Prediction -- Conclusions and Future Research. 330 $aThis book introduces characteristic features of the protein structure prediction (PSP) problem. It focuses on systematic selection and improvement of the most appropriate metaheuristic algorithm to solve the problem based on a fitness landscape analysis, rather than on the nature of the problem, which was the focus of methodologies in the past. Protein structure prediction is concerned with the question of how to determine the three-dimensional structure of a protein from its primary sequence. Recently a number of successful metaheuristic algorithms have been developed to determine the native structure, which plays an important role in medicine, drug design, and disease prediction. This interdisciplinary book consolidates the concepts most relevant to protein structure prediction (PSP) through global non-convex optimization. It is intended for graduate students from fields such as computer science, engineering, bioinformatics and as a reference for researchers and practitioners. 410 0$aEmergence, Complexity and Computation,$x2194-7287 ;$v31 606 $aComputational intelligence 606 $aComputational complexity 606 $aArtificial intelligence 606 $aProteins 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aComplexity$3https://scigraph.springernature.com/ontologies/product-market-codes/T11022 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aProtein Structure$3https://scigraph.springernature.com/ontologies/product-market-codes/L14050 615 0$aComputational intelligence. 615 0$aComputational complexity. 615 0$aArtificial intelligence. 615 0$aProteins. 615 14$aComputational Intelligence. 615 24$aComplexity. 615 24$aArtificial Intelligence. 615 24$aProtein Structure. 676 $a006.3 700 $aJana$b Nanda Dulal$4aut$4http://id.loc.gov/vocabulary/relators/aut$01063364 702 $aDas$b Swagatam$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aSil$b Jaya$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910299957003321 996 $aA Metaheuristic Approach to Protein Structure Prediction$92531948 997 $aUNINA