LEADER 02701nam 2200493 450 001 9910158597303321 005 20230705130300.0 010 $a1-910797-29-4 035 $a(CKB)3710000001009290 035 $a(MiAaPQ)EBC4776503 035 $a(OCoLC)968735477 035 $a(SZ-BaSKA)277620 035 $a(PPN)267640153 035 $a(EXLCZ)993710000001009290 100 $a20170114d2016 uy| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aFast Facts $eDiagnosing Cutaneous T-Cell Lymphoma /$fPaul L. Haun MD MSc, assistant professor of dermatology and dermatopathology, University of Pennsylvania, Philadelphia, PA, USA, Julia J. Scarisbrick MBChB FRCP MD, consultant dermatologist, University Hospitals Birmingham, Birmingham, UK 210 1$aAbingdon :$cHealth Press,$d2016. 215 $a1 online resource (96 pages) $ccolor illustrations 225 1 $aFast facts 311 $a1-910797-20-0 311 $a1-910797-28-6 320 $aIncludes bibliographical references and index. 330 $aCutaneous T-cell lymphoma (CTCL) is one of the 'great mimickers'. To be certain of the diagnosis, there must be clear correlation between the pathological and clinical findings, making collaboration between clinicians and pathologists essential. Knowing the patient's history, lesion description and diagnostic work-up will help the pathologist make a more informed decision with respect to the histopathology under the microscope. Likewise, understanding the terminology used in the pathology report will improve the clarity of the clinician?s diagnosis. 'Fast Facts: Diagnosing Cutaneous T-Cell Lymphoma' is designed to help primary care providers, dermatologists and pathologists speak the same language. With over 100 superb clinical and pathological images, this concise, practical handbook will ensure clear communication with respect to the clinical presentation, histopathology and immunophenotyping of: ? early and advanced mycosis fungoides and its variants ? Sézary syndrome ? other non-mycosis fungoides CTCLs. It is therefore essential reading for all pathologists, non-specialist clinicians and dermatology trainees. 410 0$aFast facts. 606 $aSkin$xCancer 606 $aLymphomas 606 $aT cells 615 0$aSkin$xCancer. 615 0$aLymphomas. 615 0$aT cells. 700 $aHaun$b Paul L.$01215345 702 $aScarisbrick$b Julia J. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910158597303321 996 $aFast facts$92807888 997 $aUNINA LEADER 03733oam 2200637I 450 001 9910787573103321 005 20170816135550.0 010 $a0-429-17055-6 010 $a1-4822-1678-7 024 7 $a10.1201/b16036 035 $a(CKB)2670000000394429 035 $a(EBL)1408102 035 $a(SSID)ssj0001040852 035 $a(PQKBManifestationID)11584466 035 $a(PQKBTitleCode)TC0001040852 035 $a(PQKBWorkID)11001771 035 $a(PQKB)11602396 035 $a(MiAaPQ)EBC1408102 035 $a(OCoLC)862946665 035 $a(CaSebORM)9781482216783 035 $a(EXLCZ)992670000000394429 100 $a20180331h20142014 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aIntroduction to computational modeling using C and open-source tools /$fJose M. Garrido, Kennesaw State University, Kennesaw Georgia, USA 210 1$aBoca Raton, FL :$cCRC,$d[2014] 210 4$d©2014 215 $a1 online resource (458 p.) 225 1 $aChapman & Hall/CRC Computational Science 225 0$aChapman & Hall/CRC computational science series 300 $a"A Chapman & Hall book." 311 $a1-4822-1679-5 320 $aIncludes bibliographical references. 327 $aFront Cover; Contents; List of Figures; List of Tables; Preface; About the Author; Chapter 1: Problem Solving and Computing; Chapter 2: Programs; Chapter 3: Modular Decomposition: Functions; Chapter 4: More Concepts of Computational Models; Chapter 5: Algorithms and Programs; Chapter 6: Selection; Chapter 7: Repetition; Chapter 8: Arrays; Chapter 9: Pointers; Chapter 10: Linked Lists; Chapter 11: Text Data; Chapter 12: Computational Models with Arithmetic Growth; Chapter 13: Computational Models with Quadratic Growth; Chapter 14: Models with Geometric Growth 327 $aChapter 15: Computational Models with PolynomialsChapter 16: Models with Interpolation and Curve Fitting; Chapter 17: Using Vectors with the GSL; Chapter 18: Matrices and Sets of Linear Equations; Chapter 19: Introduction to Dynamical Systems; Chapter 20: Linear Optimization Modeling; Chapter 21: Solving Linear Optimization Problems; Chapter 22: Sensitivity Analysis and Duality; Chapter 23: Transportation Models; Chapter 24: Network Models; Chapter 25: Integer Linear Optimization Models; Appendix A: GNU C Compiler Tool; Appendix B: Introduction to Linux; Bibliography 330 $aBecause computational models usually require high-performance computing to solve large and complex scientific problems, this book presents an introduction to computational models and their implementation using the C programming language. Its primary goal is to present basic to semi-advanced principles of computational modeling, at the level of Calculus and Intermediate Programming. Emphasis is on reasoning about problems, conceptualizing the problem, mathematical modeling, and their computational solution that involves computing results and visualization. --$cProvided by publisher. 410 0$aChapman & Hall/CRC Computational Science 606 $aMathematical models$xData processing 606 $aC (Computer program language) 606 $aOpen source software 615 0$aMathematical models$xData processing. 615 0$aC (Computer program language) 615 0$aOpen source software. 676 $a511.80285/5133 676 $a511.802855133 686 $aCOM000000$aMAT000000$2bisacsh 700 $aGarrido$b Jose M.$0413185 801 0$bFlBoTFG 801 1$bFlBoTFG 906 $aBOOK 912 $a9910787573103321 996 $aIntroduction to computational modeling using C and open-source tools$93805434 997 $aUNINA