LEADER 01636nam0 2200337 450 001 000042650 005 20170120115558.0 100 $a20161024d2015----km-y0itay50------ba 101 0 $aita 102 $aIT 105 $a----m-------- 200 1 $aBorder territory: utilità metodologica e contaminazioni dell'arte nelle analisi e nel progetto per lo spazio pubblico$bTesi di dottorato$fdottorando: Fabio Ciaravella$gcoordinatore: Antonio Conte$gtutor relatore: Ina Maccaione$gco-relatori: Leonardo Chiesi, Gediminas Urbonas 210 $a[Potenza]$d2015 215 $a273 p.$cill.$d30 cm. 328 1$aTesi di dottorato: Università della Basilicata, Dottorato di ricerca in Architecture and urban phenomenology, XXVII ciclo, A.a. 2013-2014 676 $a711$v(22. ed.)$9Urbanistica (Pianificazione territoriale) 676 $a712$v(22. ed.)$9Paesistica (Architettura del paesaggio) 686 $aICAR/14$cComposizione architettonica e urbana 686 $aICAR/17$cDisegno 686 $aICAR/18$cStoria dell'architettura 700 1$aCiaravella,$bFabio$0758422 801 0$aIT$bUniversità della Basilicata - B.I.A.$gREICAT$2unimarc 912 $a000042650 996 $aBorder territory: utilità metodologica e contaminazioni dell'arte nelle analisi e nel progetto per lo spazio pubblico$91531688 997 $aUNIBAS BAS $aARCHITETTURA CAT $aSTD112$b01$c20161024$lBAS01$h1548 CAT $aTTM$b30$c20170116$lBAS01$h1040 CAT $aTTM$b30$c20170120$lBAS01$h1155 FMT Z30 -1$lBAS01$LBAS01$mBOOK$1BASA4$APolo di Matera$2TDO$BTesi di Dottorato$642653-10$54265310$820161024$f98$FConsultazione LEADER 03190nam 22005415 450 001 9910686775103321 005 20251113180459.0 010 $a9783031291197 010 $a3031291190 024 7 $a10.1007/978-3-031-29119-7 035 $a(CKB)5710000000114969 035 $a(MiAaPQ)EBC7233671 035 $a(Au-PeEL)EBL7233671 035 $a(DE-He213)978-3-031-29119-7 035 $a(OCoLC)1374872430 035 $a(PPN)269655042 035 $a(EXLCZ)995710000000114969 100 $a20230323d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aResearch in Computational Molecular Biology $e27th Annual International Conference, RECOMB 2023, Istanbul, Turkey, April 16?19, 2023, Proceedings /$fedited by Haixu Tang 205 $a1st ed. 2023. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2023. 215 $a1 online resource (297 pages) 225 1 $aLecture Notes in Bioinformatics,$x2366-6331 ;$v13976 311 08$a9783031291180 311 08$a3031291182 320 $aIncludes bibliographical references and index. 327 $aVStrains: De Novo Reconstruction of Viral Strains via Iterative Path Extraction From Assembly Graphs -- Spectrum preserving tilings enable sparse and modular reference indexing -- Statistically Consistent Rooting of Species Trees under the Multispecies Coalescent Model -- Sequence to graph alignment using gap-sensitive co-linear chaining -- DM-Net: A Dual-Model Network for Automated Biomedical Image Diagnosis -- MTGL-ADMET: A Novel Multi-Task Graph Learning Framework for ADMET Prediction Enhanced by Status-Theory and Maximum Flow -- CDGCN: Conditional de novo Drug generative model using Graph Convolution Networks -- Percolate: an exponential family JIVE model to design DNA-based predictors of drug response -- Translation rate prediction and regulatory motif discovery with multi-task learning -- Computing shortest hyperpaths for pathway inference in cellular reaction networks -- T-Cell Receptor Optimization with Reinforcement Learning and MutationPolices for Precision Immunotherapy. 330 $aThis book constitutes the refereed proceedings of the 27th Annual International Conference on Research in Computational Molecular Biology, RECOMB 2023, held in Istanbul, Turkey, during April 16?19, 2023. The 11 regular and 33 short papers presented in this book were carefully reviewed and selected from 188 submissions. The papers report on original research in all areas of computational molecular biology and bioinformatics. 410 0$aLecture Notes in Bioinformatics,$x2366-6331 ;$v13976 606 $aApplication software 606 $aComputer and Information Systems Applications 615 0$aApplication software. 615 14$aComputer and Information Systems Applications. 676 $a572.80285 676 $a572.80285 702 $aTang$b Haixu 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910686775103321 996 $aResearch in Computational Molecular Biology$9772065 997 $aUNINA