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This book encapsulates and occupies recent advances and state-of-the-art applications of nature-inspired computing (NIC) techniques in the field of bioinformatics and computational biology, which would aid medical sciences in various clinical applications. This edited volume covers fundamental applications, scope, and future perspectives of NIC techniques in bioinformatics including genomic profiling, gene expression data classification, DNA computation, systems and network biology, solving personalized therapy complications, antimicrobial resistance in bacterial pathogens, and computer-aided drug design, discovery, and therapeutics. It also covers the role of NIC techniques in various diseases and disorders, including cancer detection and diagnosis, breast cancer, lung disorder detection, disease biomarkers, and potential therapeutics identifications.
Dieses Buch umfasst und beschäftigt sich mit den jüngsten Fortschritten und modernsten Anwendungen von naturinspirierten Computertechniken (NIC) im Bereich der Bioinformatik und der Computerbiologie, die die medizinischen Wissenschaften bei verschiedenen klinischen Anwendungen unterstützen können. Dieser Sammelband befasst sich mit den grundlegenden Anwendungen, dem Umfang und den Zukunftsperspektiven von NIC-Techniken in der Bioinformatik, einschließlich der Erstellung von Genomprofilen, der Klassifizierung von Genexpressionsdaten, der DNA-Berechnung, der System- und Netzwerkbiologie, der Lösung von Komplikationen bei personalisierten Therapien, der antimikrobiellen Resistenz bei bakteriellen Krankheitserregern und der computergestützten Entwicklung von Arzneimitteln, deren Entdeckung und Therapie. Darüber hinaus wird die Rolle von NIC-Techniken bei verschiedenen Krankheiten und Störungen behandelt, einschließlich Krebserkennung und -diagnose, Brustkrebs, Erkennung von Lungenkrankheiten, Krankheits-Biomarkern und Identifizierung potenzieller Therapeutika.
A OMS declara que "cuidado paliativo para crianças é o cuidado ativo total do corpo, mente e espírito, e também envolve o suporte à família. Ele começa quando a doença é diagnosticada e continua mesmo que a criança não receba tratamento direcionado à doença. Profissionais da saúde devem avaliar e aliviar sofrimentos físicos, psicológicos e sociais de uma criança. O cuidado paliativo efetivo requer uma ampla abordagem multidisciplinar que inclui a família e utiliza os recursos disponíveis na comunidade; ele pode ser implementado com sucesso mesmo se os recursos forem limitados. Pode ser prestado em instituições de cuidados terciários, em centros de saúde comunitários e...
Negli ultimi 10 anni si sono registrati progressi molto significativi nello sviluppo di piccole molecole per il trattamento della fibrosi cistica (CF), molecole che sono correttori o potenziatori del canale CFTR. Tuttavia, queste molecole incrementano rispettivamente la quantità del canale nella membrana plasmatica e la probabilità di apertura del canale. Correttori e potenziatori per agire richiedono quindi la presenza della proteina Tuttavia, circa il 10% della popolazione affetta da CF mostra mutazioni non-senso che causano la formazione di un codone di terminazione prematura (PTC) associato a una proteina CFTR incompleta e non funzionale. In questo contesto genetico i correttori e i po...
This book contains six chapters which covers origin, timeline and effects of coronavirus, analytical models on COVID and CORONAVIRUS, mental health problems linked with COVID-19 and their management, spiritually-oriented programs for coping with the COVID-19 pandemic, yogic and meditative exercises for enhancing wellbeing and immunity, and counselling for the COVID-19 patients and family caregivers for the patients of COVID-19.
Mark Chase There are many literature resources available to molecular biologists wishing to assess genetic variation, but the myriad of techniques and approaches potentially available to the plant breeder and the evolutionary biologist is truly bewildering, and most have never been evaluated side-by-side on the same sets of samples. Additionally, it is often not recognized that tools that are useful for breeders can often be adapted for use in evolutionary studies and vice versa, but this is generally the case. The borderline between population genetics and phylogenetics is vague and difficult to assess, and a combination of both types of tools is best when it is not clear with which area on...
Renowned statistician R.G. Miller set the pace for statistics students with Beyond ANOVA: Basics of Applied Statistics. Designed to show students how to work with a set of "real world data," Miller's text goes beyond any specific discipline, and considers a whole variety of techniques from ANOVA to empirical Bayes methods; the jackknife, bootstrap methods; and the James-Stein estimator. This reissue of Miller's classic book has been revised by professors at Stanford University, California. As before, one of the main strengths of Beyond ANOVA is its promotion of the use of the most straightforward data analysis methods-giving students a viable option, instead of resorting to complicated and unnecessary tests. Assuming a basic background in statistics, Beyond ANOVA is written for undergraduates and graduate statistics students. Its approach will also be valued by biologists, social scientists, engineers, and anyone who may wish to handle their own data analysis.
Focusing on situations in which analysis of variance (ANOVA) involving the repeated measurement of separate groups of individuals is needed, Girden reveals the advantages, disadvantages, and counterbalancing issues of repeated measures situations. Using additive and nonadditive models to guide the analysis in each chapter, the book covers such topics as the rationale for partitioning the sum of squares, detailed analyses to facilitate the interpretation of computer printouts, the rationale for the F ratios in terms of expected means squares, validity assumptions for sphericity or circularity and approximate tests to perform when sphericity is not met.
"This book focuses on the practical aspects of modern and robust statistical methods. The increased accuracy and power of modern methods, versus conventional approaches to the analysis of variance (ANOVA) and regression, is remarkable. Through a combination of theoretical developments, improved and more flexible statistical methods, and the power of the computer, it is now possible to address problems with standard methods that seemed insurmountable only a few years ago"--