LEADER 00986nam0-22003371i-450- 001 990008006350403321 005 20091001122407.0 010 $a1-58488-451-7 035 $a000800635 035 $aFED01000800635 035 $a(Aleph)000800635FED01 035 $a000800635 100 $a20050216d2004----km-y0itay50------ba 101 0 $aeng 102 $aUS 105 $ay-------001yy 200 1 $aTransform methods for solving partial differential equations$fDean G. Duffy 205 $a2nd ed. 210 $aBoca Raton$cChapman & Hall/CRC$dc2004 215 $axvii, 708 p.$cill.$d24 cm 610 0 $aEquazioni differenziali parziali 610 0 $aTrasformata di Fourier 676 $a515.'353 700 1$aDuffy,$bDean G.$041450 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990008006350403321 952 $a515.353-DUF-1$b3609$fSC1 959 $aSC1 996 $aTransform methods for solving partial differential equations$9750996 997 $aUNINA LEADER 03139oam 2200685I 450 001 9910777457703321 005 20200520144314.0 010 $a0-429-08799-3 010 $a1-281-92650-7 010 $a9786611926502 010 $a90-474-2242-2 010 $a1-60119-402-1 024 7 $a10.1201/b12239 035 $a(CKB)1000000000415843 035 $a(EBL)1109828 035 $a(OCoLC)827623613 035 $a(SSID)ssj0000072434 035 $a(PQKBManifestationID)11107202 035 $a(PQKBTitleCode)TC0000072434 035 $a(PQKBWorkID)10115617 035 $a(PQKB)10161869 035 $a(MiAaPQ)EBC593738 035 $a(MiAaPQ)EBC1109828 035 $a(Au-PeEL)EBL593738 035 $a(CaPaEBR)ebr10270788 035 $a(CaONFJC)MIL192650 035 $a(OCoLC)700696843 035 $a(OCoLC)234087887 035 $a(PPN)17454409X 035 $a(EXLCZ)991000000000415843 100 $a20180331d2007 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aLow-temperature behaviour of elastomers /$fM.F. Bukhina and S.K. Kurlyand 210 1$aLeiden ;$aBoston :$cVSP,$d2007. 215 $a1 online resource (193 p.) 225 1 $aNew concepts in polymer science ;$v31 300 $aDescription based upon print version of record. 311 $a90-04-15720-4 320 $aIncludes bibliographical references (p. [157]-181) and indexes. 327 $aFront Cover; Contents; Foreword; Introduction; 1. Glass transition of elastomers; 2. Mechanical properties of elastomers near the glass transition temperature; 3. Crystallization of elastomers at low temperatures; 4. Stress-induced crystallization of elastomers; 5. Strength properties of elastomers at low temperatures; 6. Contribution of crystallization and glass transition to low-temperature resistance of elastomers; 7. Low-temperature resistance specifics of particular elastomers; References 330 $aThis book focuses on the effect the composition of rubbers and the conditions of their processing have on low-temperature resistance. It considers the nature and development of two physical processes, glass transition and crystallization, determining low-temperature behavior of elastomers. The book addresses the effects of deformation, pressure, and temperature on these processes. It discusses the contribution of different factors in frost-resistance of elastomeric materials and articles and the possibility of increasing frost-resistance by optimization of composition and design. 410 0$aNew concepts in polymer science ;$v31. 606 $aElastomers$xThermal properties 606 $aMaterials at low temperatures 615 0$aElastomers$xThermal properties. 615 0$aMaterials at low temperatures. 676 $a547.842 700 $aBukhina$b M. F$g(Maia Faddeevna),$01547217 701 $aKurlyand$b S. K$01547218 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910777457703321 996 $aLow-temperature behaviour of elastomers$93803430 997 $aUNINA LEADER 04683nam 22006615 450 001 9911034958103321 005 20251024130447.0 010 $a9789819532728$b(electronic bk.) 010 $z9789819532711 024 7 $a10.1007/978-981-95-3272-8 035 $a(MiAaPQ)EBC32375402 035 $a(Au-PeEL)EBL32375402 035 $a(CKB)41732130300041 035 $a(DE-He213)978-981-95-3272-8 035 $a(EXLCZ)9941732130300041 100 $a20251024d2025 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aComputational Cytology $eAdvancements and Applications with Artificial Intelligence /$fby Pranab Dey 205 $a1st ed. 2025. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2025. 215 $a1 online resource (354 pages) 225 1 $aMedicine Series 311 08$aPrint version: Dey, Pranab Computational Cytology Singapore : Springer,c2025 9789819532711 327 $aSection I: Computational Integration in Cytology -- Chapter 1. Introduction to Computational Cytology -- Chapter 2. Digital Cytology: The Cornerstone of Computational Cytology -- Chapter 3. Digital Workflow in Cytology -- Section II: Major Components of Computational Cytology -- Chapter 4. Data acquisition and preparation in Computational Cytology -- Chapter 5. Overview of Artificial neural network -- Section III: Computational Techniques and Tools -- Chapter 6. Image Processing for Cytology -- Chapter 7. Deep Learning in Computational Cytology -- Chapter 8. Natural Language Processing in Cytology Reports -- Section IV: Applications of Computational Cytology -- Chapter 9. Diagnosis of Cancer -- Chapter 10. Molecular Data Interpretation by artificial intelligence -- Chapter 11. Automation in Cytology Laboratory -- Chapter 12. Personalized Medicine and Computational Cytology -- Section V: Advanced Topics and Emerging Trends -- Chapter 13. Multi-modal Data Fusion by combining imaging, clinical and molecular data -- Chapter 14. Data storage, security and Ethical issues in Computational Cytology -- Chapter 15. Future Directions, and challenges in Computational Cytology -- Section VI: Hands-On and Practical Applications -- Chapter 16. A practical guide to build the Computational Model -- Chapter 17. Software and Tools for Computational Cytology -- Chapter 18. Data management, data Sharing in Computational Cytology -- Section VII: Challenges and Future Directions -- Chapter 20. Current Limitations and solution in Computational Cytology. 330 $aThis book provides information on how to integrate modern computational tools into traditional cytology, addressing the need to analyze digital images, molecular data, proteomic data, and clinical information. Divided into 21 chapters, it discusses computational techniques, including data pre-processing, building a neural network model, and implementing the model. Further chapters cover the basics of the digitalization of cytological images, handling multiple modes of data, artificial intelligence for cell classification, and applications of computational cytology. Ethical and practical challenges, as well as the integration of artificial intelligence in cytology workflows, are also discussed. The book is supplemented with ample illustrations and tables to aid decision-making. The book serves as a practical guide for pathologists, researchers, professionals in bioinformatics, and computer scientists, helping them understand how to integrate digital and molecular data into cytology for research, diagnosis, cancer screening, personalized management, and drug discovery. 410 0$aMedicine Series 606 $aPathology 606 $aBiomathematics 606 $aArtificial intelligence 606 $aBioinformatics 606 $aBiomedical engineering 606 $aPathology 606 $aMathematical and Computational Biology 606 $aArtificial Intelligence 606 $aBioinformatics 606 $aMedical and Health Technologies 615 0$aPathology. 615 0$aBiomathematics. 615 0$aArtificial intelligence. 615 0$aBioinformatics. 615 0$aBiomedical engineering. 615 14$aPathology. 615 24$aMathematical and Computational Biology. 615 24$aArtificial Intelligence. 615 24$aBioinformatics. 615 24$aMedical and Health Technologies. 676 $a616.07 700 $aDey$b Pranab$0782503 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9911034958103321 996 $aComputational Cytology$94449009 997 $aUNINA