LEADER 01187nam a2200325 i 4500 001 991001808029707536 008 120913s2012 njua b 001 0 eng d 020 $a9780691153483 020 $a9780691153476 035 $ab14073894-39ule_inst 040 $aDip.to Matematica e Fisica$beng 082 00$a518$223 084 $aAMS 53-02 084 $aAMS 53A30 084 $aAMS 53C20 084 $aLC QA646.A44 100 1 $aAlexakis, Spyros$0477393 245 14$aThe decomposition of global conformal invariants /$cSpyros Alexakis 260 $aPrinceton [N. J.] :$bPrinceton University Press,$cc2012 300 $avi, 448 p. :$bill. ;$c25 cm 440 0$aAnnals of mathematics studies ;$v182 504 $aIncludes bibliographical references and indexes 650 0$aConformal invariants 650 0$aDecomposition (Mathematics) 907 $a.b14073894$b02-10-12$c13-09-12 912 $a991001808029707536 945 $aLE013 53-XX ALE31 (2012)$g1$i2013000216188$lle013$op$pE66.38$q-$rl$s- $t0$u0$v0$w0$x0$y.i15443759$z26-09-12 996 $aDecomposition of global conformal invariants$9239915 997 $aUNISALENTO 998 $ale013$b13-09-12$cm$da $e-$feng$gnju$h4$i0 LEADER 05519nam 22006735 450 001 9910896534203321 005 20250807145549.0 010 $a981-9750-61-X 024 7 $a10.1007/978-981-97-5061-0 035 $a(CKB)36357384500041 035 $a(MiAaPQ)EBC31728406 035 $a(Au-PeEL)EBL31728406 035 $a(DE-He213)978-981-97-5061-0 035 $a(EXLCZ)9936357384500041 100 $a20241015d2024 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aBiotechnology for Silkworm Crop Enhancement $eTools and Applications /$fedited by Raviraj V Suresh, Soumen Saha, Khasru Alam 205 $a1st ed. 2024. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2024. 215 $a1 online resource (321 pages) 311 08$a981-9750-60-1 320 $aIncludes bibliographical references. 327 $aChapter 1: An introduction to biotechnology driven advances for silkworm improvement and sustainable perspectives -- Chapter 2: Silkworm Genomics: A novel tool in Silkworm Crop Improvement -- Chapter 3: An insight into transcriptomics of the mulberry silkworm ,Bombyx mori:A review -- Chapter 4: Proteomics of Silkworm, Bombyx mori L: Recent progress and future prospectus -- Chapter 5: Epigenomics: A Way Forward From Classical Approach -- Chapter 6: Applications of Marker Assisted Selection in Silkworm Breeding For Abiotic Stress Tolerance -- Chapter 7: Mutational Breeding in Bombyx mori: Current Trends and Future Avenues -- Chapter 8: Application of Marker Assisted Selection in silkworm breeding for disease resistance -- Chapter 9: Engineered disease resistance silkworm using genome editing -- Chapter 10: Biotechnological Approaches in Wild Silk Culture -- Chapter 11:An overview of climatic and genetic influences on emergence of Antheraea spp -- Chapter 12:The Journey of Biotechnology in Tasar Sericulture: Past Experiences, Current Strategies, and Future Horizons -- Chapter 13:Silkworm databases and research tools: A comprehensive guide for advancing sericulture research -- Chapter 14:The Application of Biostatistical Techniques in Silkworm Breeding & Improvement -- Chapter 15: Dipteran parasitoid ? silkworm interaction: Application of genomic and proteomic tools in host-parasitoid communication -- Chapter 16: Biotechnological approaches for diagnosis of silkworm diseases -- Chapter 17: Implications of Bioassay in Biotechnology with relevance to Silkworm Breeding -- Chapter 18: Application of Sericin in Food Industries and Coating of Fruits and Vegetables -- Chapter 19: Biomedical Applications of Silk Worm Sericin. 330 $aThe book introduces readers to the latest developments in biotechnological methods used for improving the cultivation of silkworms. The text focuses on implementing biotechnological approaches, ranging from basic to advanced techniques, on enhancing silk production, increasing abiotic stress resilience, improving disease tolerance, and developing resistance in silkworm crops. With the current climate crisis and growing demand for high-quality silk, biotechnological applications have become essential in addressing the urgent need to increase silk production. The field of sericulture has made significant breakthroughs, such as identifying DNA markers, linkage association, genome-wide association studies, generating mutants, and introducing transgenic silkworms. Developing silkworms with improved cocoon yield and disease resistance is crucial to boost silk production. The book covers fundamental principles and recent advancements and delves into various methodologies employed inseri-biotechnology for improving silkworm crops. These methodologies include next-generation sequencing for DNA sequencing, using molecular markers to enhance abiotic stress tolerance (specifically high temperature and humidity conditions), expression analysis, RNA interference, gene knockout approaches to bolster disease resistance, and transcriptomics to enhance economically significant parameters such as silk content. The book explains these topics in detail and includes contemporary research appraisals, extensive discussions, and an evaluation of the benefits and risks associated with the use of biotechnological tools. This book serves as an invaluable reference for researchers and academics in biotechnology, molecular biology, and sericulture while also serving as an informative starting point for budding researchers. 606 $aBiotechnology 606 $aGenetic transcription 606 $aBiology$xTechnique 606 $aGenomics 606 $aBiology 606 $aBiotechnology 606 $aGene Transcription 606 $aBiological Techniques 606 $aGenomic Analysis 606 $aBiological Sciences 615 0$aBiotechnology. 615 0$aGenetic transcription. 615 0$aBiology$xTechnique. 615 0$aGenomics. 615 0$aBiology. 615 14$aBiotechnology. 615 24$aGene Transcription. 615 24$aBiological Techniques. 615 24$aGenomic Analysis. 615 24$aBiological Sciences. 676 $a660.6 702 $aSuresh$b Raviraj V. 702 $aSa?ha$b Saumena 702 $aAlam$b Khasru 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910896534203321 996 $aBiotechnology for Silkworm Crop Enhancement$94210938 997 $aUNINA LEADER 03989nam 22007455 450 001 9910299699903321 005 20200701171703.0 010 $a3-319-15530-X 024 7 $a10.1007/978-3-319-15530-2 035 $a(CKB)3710000000375704 035 $a(EBL)1998215 035 $a(SSID)ssj0001465340 035 $a(PQKBManifestationID)11919353 035 $a(PQKBTitleCode)TC0001465340 035 $a(PQKBWorkID)11472085 035 $a(PQKB)11326472 035 $a(DE-He213)978-3-319-15530-2 035 $a(MiAaPQ)EBC1998215 035 $a(PPN)184890608 035 $a(EXLCZ)993710000000375704 100 $a20150314d2015 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aAcoustic Modeling for Emotion Recognition /$fby Koteswara Rao Anne, Swarna Kuchibhotla, Hima Deepthi Vankayalapati 205 $a1st ed. 2015. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015. 215 $a1 online resource (72 p.) 225 1 $aSpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning,$x2191-737X 300 $aDescription based upon print version of record. 311 $a3-319-15529-6 320 $aIncludes bibliographical references. 327 $aIntroduction -- Emotion Recognition using Prosodic features -- Emotion Recognition using Spectral features -- Emotional Speech Corpora -- Classification Models -- Comparative Analysis of Classifiers in emotion recognition -- Summary and Conclusions. 330 $aThis book presents state of art research in speech emotion recognition. Readers are first presented with basic research and applications ? gradually more advance information is provided, giving readers comprehensive guidance for classify emotions through speech. Simulated databases are used and results extensively compared, with the features and the algorithms implemented using MATLAB. Various emotion recognition models like Linear Discriminant Analysis (LDA), Regularized Discriminant Analysis (RDA), Support Vector Machines (SVM) and K-Nearest neighbor (KNN) and are explored in detail using prosody and spectral features, and feature fusion techniques. 410 0$aSpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning,$x2191-737X 606 $aSignal processing 606 $aImage processing 606 $aSpeech processing systems 606 $aComputational linguistics 606 $aUser interfaces (Computer systems) 606 $aAcoustics 606 $aSignal, Image and Speech Processing$3https://scigraph.springernature.com/ontologies/product-market-codes/T24051 606 $aComputational Linguistics$3https://scigraph.springernature.com/ontologies/product-market-codes/N22000 606 $aUser Interfaces and Human Computer Interaction$3https://scigraph.springernature.com/ontologies/product-market-codes/I18067 606 $aAcoustics$3https://scigraph.springernature.com/ontologies/product-market-codes/P21069 615 0$aSignal processing. 615 0$aImage processing. 615 0$aSpeech processing systems. 615 0$aComputational linguistics. 615 0$aUser interfaces (Computer systems) 615 0$aAcoustics. 615 14$aSignal, Image and Speech Processing. 615 24$aComputational Linguistics. 615 24$aUser Interfaces and Human Computer Interaction. 615 24$aAcoustics. 676 $a621.382 700 $aAnne$b Koteswara Rao$4aut$4http://id.loc.gov/vocabulary/relators/aut$0721051 702 $aKuchibhotla$b Swarna$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aVankayalapati$b Hima Deepthi$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910299699903321 996 $aAcoustic Modeling for Emotion Recognition$92531587 997 $aUNINA