LEADER 05621nam 2200745Ia 450 001 9910458718703321 005 20200520144314.0 010 $a1-280-96125-2 010 $a9786610961252 010 $a0-08-047061-0 035 $a(CKB)1000000000364601 035 $a(EBL)286691 035 $a(OCoLC)441773375 035 $a(SSID)ssj0000156964 035 $a(PQKBManifestationID)11170541 035 $a(PQKBTitleCode)TC0000156964 035 $a(PQKBWorkID)10130227 035 $a(PQKB)11463011 035 $a(MiAaPQ)EBC286691 035 $a(Au-PeEL)EBL286691 035 $a(CaPaEBR)ebr10166955 035 $a(CaONFJC)MIL96125 035 $a(OCoLC)123448124 035 $a(EXLCZ)991000000000364601 100 $a20050719d2005 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aForensic DNA typing$b[electronic resource] $ebiology, technology, and genetics of STR markers /$fJohn M. Butler 205 $a2nd ed. 210 $aLondon $cElsevier Academic Press$dc2005 215 $a1 online resource (679 p.) 300 $aPrevious ed.: San Diego, Calif. : Academic Press, c2001. 311 $a0-08-050670-4 311 $a0-12-147952-8 320 $aIncludes bibliographical references and index. 327 $aCover; CONTENTS; FOREWORD; INTRODUCTION; NEW MATERIAL IN THIS SECOND EDITION; AN OVERVIEW OF THE BOOK CHAPTERS; ACKNOWLEDGMENTS; ABOUT THE AUTHOR; 1. OVERVIEW AND HISTORY OF DNA TYPING; HISTORY OF FORENSIC DNA ANALYSIS; STEPS IN DNA SAMPLE PROCESSING; COMPARISONS TO COMPUTER TECHNOLOGY; BIOLOGY; 2. DNA BIOLOGY REVIEW; BASIC DNA PRINCIPLES; POPULATION VARIATION; ADDITIONAL READING; 3. SAMPLE COLLECTION, DNA EXTRACTION AND DNA QUANTITATION; SAMPLE COLLECTION; PRESUMPTIVE TESTS FOR BLOOD, SEMEN, AND SALIVA; DNA EXTRACTION; DNA QUANTITATION; REFERENCES AND ADDITIONAL READING 327 $aPOLYMERASE CHAIN REACTION ( PCR) PROCESS4. THE POLYMERASE CHAIN REACTION (DNA AMPLIFICATION); MULTIPLEX PCR; REAL- TIME ( QUANTITATIVE) PCR; PRECAUTIONS AGAINST CONTAMINATION; ADVANTAGES AND DISADVANTAGES OF PCR WITH FORENSIC SPECIMENS; REFERENCES AND ADDITIONAL READING; REPEATED DNA; 5. COMMONLY USED SHORT TANDEM REPEAT MARKERS AND COMMERCIAL KITS; CHOICE OF MARKERS USED BY THE FORENSIC DNA; TYPING COMMUNITY; COMMERCIALLY AVAILABLE STR KITS; DETAILS ON ALLELES PRESENT IN THE 13 CODIS STR LOCI; GENDER IDENTIFICATION WITH AMELOGENIN; STRBASE: A DYNAMIC SOURCE OF INFORMATION ON STR MARKERS 327 $aREFERENCES AND ADDITIONAL READINGSTUTTER PRODUCTS; 6. BIOLOGY OF STRs: STUTTER PRODUCTS, NON-TEMPLATE ADDITION, MICROVARIANTS, NULL ALLELES AND MUTATION RATES; NON- TEMPLATE ADDITION; MICROVARIANTS AND 'OFF- LADDER' ALLELES; ALLELE DROPOUT AND NULL ALLELES; MUTATIONS AND MUTATION RATES; REFERENCES AND ADDITIONAL READING; DEGRADED DNA; 7. FORENSIC ISSUES: DEGRADED DNA, PCR INHIBITION, CONTAMINATION, MIXED SAMPLES AND LOW COPY NUMBER; PCR INHIBITION; CONTAMINATION ISSUES; MIXTURES; LOW- COPY NUMBER DNA TESTING; OTHER USES FOR STR TYPING; REFERENCES AND ADDITIONAL READING 327 $aROLE OF ADDITIONAL GENETIC MARKERS IN FORENSIC SCIENCE8. SINGLE NUCLEOTIDE POLYMORPHISMS AND OTHER BI-ALLELIC MARKERS; BASICS OF SINGLE NUCLEOTIDE POLYMORPHISMS (SNPs); SNP TYPING ASSAYS AND TECHNOLOGIES; POTENTIAL APPLICATIONS FOR SNPs IN HUMAN IDENTITY TESTING; OTHER BI- ALLELIC MARKERS; POINTS FOR DISCUSSION; REFERENCES AND ADDITIONAL READING; 9. Y CHROMOSOME DNA TESTING; LINEAGE MARKERS; VALUE OF Y CHROMOSOME ANALYSIS IN HUMAN IDENTITY TESTING; Y CHROMOSOME STRUCTURE; Y- STR MARKERS; ISSUES WITH USE OF Y- STRs IN FORENSIC CASEWORK; Y- SNP AND BI- ALLELIC MARKERS 327 $aHISTORICAL AND GENEALOGICAL STUDIES WITH THE Y CHROMOSOMETHE THOMAS JEFFERSON- SALLY HEMINGS AFFAIR; SURNAME TESTING AND GENETIC GENEALOGY; POINTS FOR DISCUSSION; REFERENCES AND ADDITIONAL READING; 10. MITOCHONDRIAL DNA ANALYSIS; CHARACTERISTICS OF MITOCHONDRIAL DNA; MITOCHONDRIAL DNA SEQUENCING IN FORENSIC CASEWORK; INTERPRETING AND REPORTING mtDNA RESULTS; LABORATORIES PERFORMING mtDNA TESTING IN THE UNITED STATES; ISSUES IMPACTING INTERPRETATION; SCREENING ASSAYS FOR mtDNA TYPING; POPULATION DATABASES; FUTURE DIRECTIONS IN mtDNA RESEARCH; REFERENCES AND ADDITIONAL READING 327 $a11. NON-HUMAN DNA TESTING AND MICROBIAL FORENSICS 330 $aSince the enormously successful first edition of Forensic DNA Typing was published, the Human Genome Project has published a draft sequence of the human genome and completed the "finished? reference sequence. The advent of modern DNA technology has resulted in the increased ability to perform human identity testing-desirable in a number of situations including the determination of perpetrators of violent crime such as murder and rape, resolving unestablished paternity, and identifying remains of missing persons or victims of mass disasters. The technology has been utilized in identifying remai 606 $aDNA fingerprinting 606 $aDNA$xPhysiology 606 $aDNA$xSynthesis 606 $aForensic genetics 606 $aPolymerase chain reaction 608 $aElectronic books. 615 0$aDNA fingerprinting. 615 0$aDNA$xPhysiology. 615 0$aDNA$xSynthesis. 615 0$aForensic genetics. 615 0$aPolymerase chain reaction. 676 $a614.1 700 $aButler$b John M$g(John Marshall),$f1969-$0848378 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910458718703321 996 $aForensic DNA typing$92042095 997 $aUNINA LEADER 05559nam 22006975 450 001 9910845080703321 005 20240326140046.0 010 $a981-9997-72-0 024 7 $a10.1007/978-981-99-9772-5 035 $a(CKB)31073779400041 035 $a(DE-He213)978-981-99-9772-5 035 $a(MiAaPQ)EBC31281954 035 $a(Au-PeEL)EBL31281954 035 $a(OCoLC)1427736383 035 $a(EXLCZ)9931073779400041 100 $a20240313d2024 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvanced Mathematical Science for Mobility Society /$fedited by Kazushi Ikeda, Yoshiumi Kawamura, Kazuhisa Makino, Satoshi Tsujimoto, Nobuo Yamashita, Shintaro Yoshizawa, Hanna Sumita 205 $a1st ed. 2024. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2024. 215 $a1 online resource (VIII, 215 p. 52 illus., 40 illus. in color.) 311 $a981-9997-71-2 327 $aPart 1. Introduction, motivation, and direction for Advanced Mathematical Science for Mobility Society, together with the project between Toyota Motor Corporation and Kyoto University -- Chapter 1. Advanced Mathematical Science for Mobility Society -- Part 2. Mathematical models of flow Chapter. 2. Analysis of many-body particle systems by geometry and box-ball-system theory -- Chapter 3. Discrete Integrable Systems, LR transformations and Box-Ball Systems -- Part 3. Mathematical methods for huge data and network analysis -- Chapter 4. Eigenvalue Analysis in Mobility Data -- Chapter 5. Application of tensor network formalism for processing tensor data -- Chapter 6. Machine Learning Approach to Mobility Analysis -- Chapter 7. Graph optimization problems and algorithms for DAG-type blockchains -- Part 4. Algorithm for mobility society -- Chapter 8. Control and optimization of one-way car-sharing systems -- Chapter 9. Algorithms for future mobility society Chapter 10. Mechanism Design for Mobility. 330 $aThis open access book presents the mathematical methods for huge data and network analysis. The automotive industry has made steady progress in technological innovations under the names of Connected Autonomous-Shared-Electric (CASE) and Mobility as a Service (MaaS). Needless to say, mathematics and informatics are important to support such innovations. As the concept of cars and movement itself is diversifying, they are indispensable for grasping the essence of the future mobility society and building the foundation for the next generation. Based on this idea, Research unit named "Advanced Mathematical Science for Mobility Society" was established at Kyoto University as a base for envisioning a future mobility society in collaboration with researchers led by Toyota Motor Corporation and Kyoto University. This book contains three main contents. 1. Mathematical models of flow 2. Mathematical methods for huge data and network analysis 3. Algorithm for mobility society The first one discusses mathematical models of pedestrian and traffic flow, as they are important for preventing accidents and achieving efficient transportation. The authors mainly focus on global dynamics caused by the interaction of particles. The authors discuss many-body particle systems in terms of geometry and box-ball systems. The second one consists of four chapters and deals with mathematical technologies for handling huge data related to mobility from the viewpoints of machine learning, numerical analysis, and statistical physics, which also includes blockchain techniques. Finally, the authors discuss algorithmic issues on mobility society. By making use of car-sharing service as an example of mobility systems, the authors consider how to construct and analyze algorithms for mobility system from viewpoints of control, optimization, and AI. 606 $aComputer science 606 $aMathematical models 606 $aQuantitative research 606 $aTransportation engineering 606 $aTraffic engineering 606 $aTheory and Algorithms for Application Domains 606 $aMathematical Modeling and Industrial Mathematics 606 $aData Analysis and Big Data 606 $aTransportation Technology and Traffic Engineering 615 0$aComputer science. 615 0$aMathematical models. 615 0$aQuantitative research. 615 0$aTransportation engineering. 615 0$aTraffic engineering. 615 14$aTheory and Algorithms for Application Domains. 615 24$aMathematical Modeling and Industrial Mathematics. 615 24$aData Analysis and Big Data. 615 24$aTransportation Technology and Traffic Engineering. 676 $a004.0151 702 $aIkeda$b Kazushi$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aKawamura$b Yoshiumi$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMakino$b Kazuhisa$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aTsujimoto$b Satoshi$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aYamashita$b Nobuo$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aYoshizawa$b Shintaro$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSumita$b Hanna$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910845080703321 996 $aAdvanced Mathematical Science for Mobility Society$94149581 997 $aUNINA