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It is my pleasure to place before you the book ''Forensic Analysis - From Death to Justice'' which presents one of the major portions of the broad specialty of Forensic Science comprising mainly of Thanatology and Criminalistics. This book has been designed to incorporate a wide range of new ideas and unique works from all authors from topics like Forensic Engineering, Forensic Entomology and Crime Scene Investigation. I hope that it will be useful to practitioners of forensic medicine, experts, pathologists, law makers, investigating authorities, undergraduate and postgraduate medical school graduates of medicine.

Forensic sciences. --- Criminalistics --- Forensic science --- Science --- Criminal investigation --- Forensic medicine

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This open access book is the first comprehensive guide to a new soft computing technique which is used in complex forensic cases. The chapters include detailed technical and practical overviews, and discussions about the latest tools, open problems and ethical and legal issues involved. The book will be of interest to researchers and practitioners in forensic medicine and computational intelligence. The book is closely associated with a successful research initiative, MEPROCS (New Methodologies and Protocols of Forensic Identification by Craniofacial Superimposition). The project collaborators were: S. Damas, O. Ibáñez, M.I. Huete, T. Kahana, C. Wilkinson, E. Ferguson, C. Erolin, P.T. Jayaprakash, R. Jankauskas, F. Cavalli, K. Imaizumi, R. Vicente, D. Navega, E. Cunha, A.H. Ross, E. Veselovskaya, A. Abramov, P. Lestón, F. Molinero, E. Ruiz, F. Navarro, J. Cardoso, F. Viegas, D. Humpire, R. Hardiman, J. Clement, A. Valsecchi, B.R. Campomanes-Alvarez, C. Campomanes-Alvarez, A.S. Çağdır, T. Briers, M. Steyn, M. Viniero, D.N. Vieira, and O. Cordón.

Artificial intelligence. --- Forensic medicine. --- Computational intelligence. --- Forensic science. --- Health informatics. --- Artificial Intelligence. --- Forensic Medicine. --- Computational Intelligence. --- Forensic Science. --- Health Informatics. --- Clinical informatics --- Health informatics --- Medical information science --- Information science --- Medicine --- Criminalistics --- Forensic science --- Science --- Criminal investigation --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- Forensic medicine --- Injuries (Law) --- Jurisprudence, Medical --- Legal medicine --- Forensic sciences --- Medical laws and legislation --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Data processing --- Computer science --- Computational intelligence --- Medical jurisprudence.

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La médecine légale s’ancre depuis longtemps dans les savoirs naturalistes et normatifs qui mettent en signes et sens judiciaires le corps meurtri. Connus des Romains selon le Digeste, en place dans les coutumiers médiévaux, imposés par la législation des États absolutistes dans les cas de grossesse illégitime, d’infanticide, d’empoisonnement et de blessures mortelles ou non, devenus routiniers et réglés par des Édits multipliés au temps des Lumières dans le cadre de la justice pénale, les savoirs médico-légaux s’imposent comme la médecine du crime. La médecine légale, qui s’est construite comme une science depuis le XIXe siècle entre la scène du crime, l’université, la morgue, le laboratoire et les cours de justice, a une histoire qui remonte à la Renaissance au moins. En atteste cet ouvrage constitué d’archives. Il donne à lire un corpus inédit d’environ 400 expertises médico-légales que signent au XVIIIe siècle à Genève des chirurgiens et des médecins assermentés en justice. Autour des enjeux judiciaires de l’expertise médico-légale qui limite l’arbitraire du juge, cette documentation permet d’historiciser la fabrique institutionnelle et sociale du savoir médico-légal sur le terrain du crime. L’investigation judiciaire et les expertises médico-légales qualifient et mesurent les conséquences morbides du passage à l’acte suicidaire ou criminel. Par l’objectivation naturaliste des plaies et des traumatismes, les experts mettent en indices judiciaires les corps meurtris.

Medical jurisprudence --- Autopsy --- Médecine légale --- Autopsie --- History --- Histoire --- Expertises médicales --- Enquêtes criminelles --- Evidence, Expert --- Expert Testimony --- Forensic Medicine --- history --- Geneva (Switzerland) --- History, 18th Century. --- Médecine légale --- Histoire. --- médecine --- corps humain --- histoire de la justice --- police scientifique --- fonctionnement judiciaire --- Expert Testimony. --- Expertises médicales --- Enquêtes criminelles --- history. --- histoire. --- Genève (Suisse)

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Bayes Factors for Forensic Decision Analyses with R provides a self-contained introduction to computational Bayesian statistics using R. With its primary focus on Bayes factors supported by data sets, this book features an operational perspective, practical relevance, and applicability—keeping theoretical and philosophical justifications limited. It offers a balanced approach to three naturally interrelated topics: Probabilistic Inference - Relies on the core concept of Bayesian inferential statistics, to help practicing forensic scientists in the logical and balanced evaluation of the weight of evidence. Decision Making - Features how Bayes factors are interpreted in practical applications to help address questions of decision analysis involving the use of forensic science in the law. Operational Relevance - Combines inference and decision, backed up with practical examples and complete sample code in R, including sensitivity analyses and discussion on how to interpret results in context. Over the past decades, probabilistic methods have established a firm position as a reference approach for the management of uncertainty in virtually all areas of science, including forensic science, with Bayes' theorem providing the fundamental logical tenet for assessing how new information—scientific evidence—ought to be weighed. Central to this approach is the Bayes factor, which clarifies the evidential meaning of new information, by providing a measure of the change in the odds in favor of a proposition of interest, when going from the prior to the posterior distribution. Bayes factors should guide the scientist's thinking about the value of scientific evidence and form the basis of logical and balanced reporting practices, thus representing essential foundations for rational decision making under uncertainty. This book would be relevant to students, practitioners, and applied statisticians interested in inference and decision analyses in the critical field of forensic science. It could be used to support practical courses on Bayesian statistics and decision theory at both undergraduate and graduate levels, and will be of equal interest to forensic scientists and practitioners of Bayesian statistics for driving their evaluations and the use of R for their purposes. This book is Open Access.

Statistics. --- Mathematical statistics—Data processing. --- Forensic sciences. --- Medical jurisprudence. --- Forensic psychology. --- Social sciences—Statistical methods. --- Statistical Theory and Methods. --- Statistics and Computing. --- Forensic Science. --- Forensic Medicine. --- Forensic Psychology. --- Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy. --- Juridical psychology --- Juristic psychology --- Legal psychology --- Psychology, Forensic --- Forensic sciences --- Psychology, Applied --- Forensic medicine --- Injuries (Law) --- Jurisprudence, Medical --- Legal medicine --- Medicine --- Medical laws and legislation --- Criminalistics --- Forensic science --- Science --- Criminal investigation --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- Bayes factor --- scientific evidence --- decision making --- forensic science --- uncertainty management --- probability theory --- forensic --- decision analysis --- Bayesian modeling --- R --- Bayesian statistics --- probabilistic inference --- Estadística bayesiana --- Processament de dades --- Criminalística --- R (Llenguatge de programació) --- GNU-S (Llenguatge de programació) --- Llenguatges de programació --- Ciències criminalístiques --- Ciències forenses --- Policia científica --- Policia tècnica --- Ciència --- Investigació criminal --- Economia forense --- Enginyeria forense --- Geologia forense --- Lingüística forense --- Psicologia forense --- Processament de dades electròniques --- Processament automàtic de dades --- Processament electrònic de dades --- Processament integrat de dades --- Sistematització de dades (Ordinadors) --- Tractament de dades --- Tractament electrònic de dades --- Tractament integrat de dades --- Automatització --- Informàtica --- Complexitat computacional --- Curació de dades --- Depuració (Informàtica) --- Estructures de dades (Informàtica) --- Gestió de bases de dades --- Informàtica mòbil --- Informàtica recreativa --- Intel·ligència artificial --- Sistemes en línia --- Temps real (Informàtica) --- Tractament del llenguatge natural (Informàtica) --- Processament òptic de dades --- Protecció de dades --- Transmissió de dades --- Tolerància als errors (Informàtica) --- Estadística de Bayes --- Fórmula de Bayes --- Presa de decisions (Estadística bayesiana) --- Solució de Bayes --- Teorema de Bayes --- Teoria de la decisió estadística bayesiana --- Presa de decisions

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When the domestic government, the private sector, and people in various professional fields talk about long-term care issues, they all focus on creating a warm and home-like care institution. However, we actively emphasize the importance of community-based long-term care. For “aging in place”, the development of domestic non-institutional care is still in its infancy, and some long-term care needs must still be met through institutional care, and the facilitation of the extension or outreach of community-based care and respite service platforms for the development of community-based long-term care still rely on institutional care. The history of the development of long-term care in Taiwan is much shorter than that of Japan, Europe, the United States, and Canada. Despite years of hard work and rapid development, the long-term care resources needed to establish a complete system in terms of universalization, fairness, accessibility, and selectivity are not available. In the future, based on the soundness of institutional care, it hoped that outreach will move toward the goals of community care and aging in place. We hope the studies in this Special Issue will help further develop clinical medicine for healthcare and stainability.

sarcopenia --- bioimpedance analysis --- computed tomography --- discordance --- effect --- protection --- catheter --- hemodialysis --- meta-analysis --- trial sequential analysis --- Long-term oxygen therapy --- home mechanical ventilation --- patient-reported experience measures --- quality of care --- healthcare --- sustainability --- hepatocellular carcinoma --- health-related quality of life --- minimal clinically important difference --- survival --- serum urate --- menopause --- hypertension --- xanthine dehydrogenase --- cross-sectional cohort study --- diabetic foot ulcer --- peripheral arterial disease --- incidence --- prevalence --- cost --- National Health Insurance Service data --- erythrodermic psoriasis --- secukinumab --- addiction --- smoking --- alcohol --- cannabis --- virtual reality --- musculoskeletal disorders --- randomized controlled tria --- ceftaroline --- ceftriaxone --- community-acquired pneumonia --- safety --- eravacycline --- complicated intra-abdominal infection --- efficacy --- mortality --- laparoscopic --- open surgery --- non-metastatic colorectal cancer --- surgical complication --- oncologic outcome --- single surgeon experience --- doripenem --- acute bacterial infection --- pneumonia --- intra-abdominal infection --- complicated urinary tract infection --- ultrasound-guided injection --- laser assisted --- long-axis injection --- chronic disease --- multimorbidity --- suicidal thoughts --- suicidal plans --- stroke --- post-acute care --- medical referral system --- propensity score matching --- resistance training --- arterial pressure --- disease prevention --- caffeine --- older adults --- frailty --- medication --- primary care --- white matter hyperintensity --- MRI --- healthcare quotient --- chronic --- older adults living in super-aging society --- mild cognitive impairment --- walking speed --- depression --- urinary tract infection --- rapid culture --- antibiotic susceptibility testing (AST), evidence-based prescription --- antibiotics --- antimicrobial resistance (AMR), rapid diagnostics --- prediction --- deep learning --- conventional neural network --- bariatric surgery --- hospital emergency department --- queuing theory --- decision support --- cost optimization --- health behavior --- socioeconomic status --- Korea --- cardiovascular disease --- postprandial --- hypotension --- blood pressure --- elderly --- lung cancer --- physical activity --- season --- preoperative --- wearable --- macrosomia --- large for gestational age --- machine learning --- ensemble methods --- sensitivity --- specificity --- clinical deterioration --- early medical intervention --- electronic health records --- hospital rapid response team --- intensive care units --- medical records system --- computerized --- osteoporosis screening --- artificial intelligence --- convolutional neural networks --- dental panoramic radiographs --- palliative care --- nursing homes --- symptom assessment --- drug therapy --- therapeutics --- longitudinal studies --- occupational medicine --- forensic medicine --- insurance medicine --- psychoactive substances --- clinical --- forensic --- law --- ethics --- uric acid --- risk factor --- epidemiology --- cardiometabolic diseases --- healthcare and sustainability --- therapy of internal medicine diseases