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La méthode TLM (Transmission Line Matrix) permet de résoudre un problème d'électromagnétisme et d'analyser le comportement de certains milieux. Il s'agit d'un outil performant qui bénéficie d'un développement important. Sa capacité à simuler avec précision des situations variées incluant des matériaux complexes est démontrée. Cet ouvrage en expose les bases théoriques et les principaux développements. La méthode historique en deux et trois dimensions et les dernières évolutions y sont détaillées pour aboutir aux noeuds sophistiqués les plus utilisés. Les simulations des milieux fermés et ouverts sont traitées et en particulier les frontières absorbantes (PML) pour les milieux ouverts. L'introduction d'éléments passifs ou actifs, la simulation de fils minces, la simulation des milieux dispersifs comme les plasmas ou les ferrites par l'utilisation de la transformée en Z sont étudiées.
Connected objects today present a range of opportunities in medicine. We live in a new digital era where the monitoring and analysis of one's own health information no longer belongs solely to the realm of science fiction. The success of these new devices resides in their usage, which integrates seamlessly into the daily life of the user in order to continually collect the maximum amount of data. These medical connected devices therefore constitute a new hope in transforming user experience as well as the care pathway. They offer a better level of support and a better quality of life for those suffering from chronic illnesses or mental, sensorial or physical disabilities. However, these solutions also pose systematic problems, especially regarding the risks linked to their usage. This book presents a cartography which clearly details all the potential risk scenarios linked to the usage of connected devices as well as the actions which should be undertaken to promote balanced governance and guarantee the development of high-quality medical devices. - Aims to help the reader understand the difference between a connected object and a medical connected device - Identifies and evaluates all the potential risks and perspectives associated with the use of connected medical devices - Shows how to make a comprehensive risk analysis with standards like ISO 31000 and 14971
This book presents different data collection and representation techniques: elementary descriptive statistics, confirmatory statistics, multivariate approaches and statistical modeling. It exposes the possibility of giving more robustness to the classical methodologies of education sciences by adding a quantitative approach. The fundamentals of each approach and the reasons behind them are methodically analyzed, and both simple and advanced examples are given to demonstrate how to use them. Subsequently, this book can be used both as a course for the uninitiated and as an accompaniment for researchers who are already familiar with these concepts.
In this book, two kinds of analysis based on acoustic emission recorded during mechanical tests are investigated. In the first, individual, analysis, acoustic signature of each damage mechanism is characterized. So with a clustering method, AE signals that have similar shapes or similar features can be group together into a cluster. Afterwards, each cluster can be linked with a main damage. The second analysis is based on a global AE analysis, on the investigation of liberated energy, with a view to identify a critical point. So beyond this characteristic point, the criticality can be modeled with a power-law in order to evaluate time to failure.
This volume of the Biostatistics and Health Sciences Set focuses on statistics applied to clinical research. The use of Stata for data management and statistical modeling is illustrated using various examples. Many aspects of data processing and statistical analysis of cross-sectional and experimental medical data are covered, including regression models commonly found in medical statistics. This practical book is primarily intended for health researchers with basic knowledge of statistical methodology. Assuming basic concepts, the authors focus on the practice of biostatistical methods essential to clinical research, epidemiology and analysis of biomedical data (including comparison of two groups, analysis of categorical data, ANOVA, linear and logistic regression, and survival analysis). The use of examples from clinical trials and epideomological studies provide the basis for a series of practical exercises, which provide instruction and familiarize the reader with essential Stata packages and commands. - Provides detailed examples of the use of Stata for common biostatistical tasks in medical research - Features a work program structured around the four previous chapters and a series of practical exercises with commented corrections - Includes an appendix to help the reader familiarize themselves with additional packages and commands - Focuses on the practice of biostatistical methods that are essential to clinical research, epidemiology, and analysis of biomedical data
This book is a collective work draws on the perspective of social sciences, mobilizing perspectives from the sociology of science, the history of psychiatry, medical ethnography and public policy analysis. This initiative, which has no precedent in social sciences, is surrounded by an original, if not apparently paradoxical statement: considering that the deployment of these processes, strictly formal and depersonalized, is justified in becoming the rule in a society known as "individuals". - Presents the measurement of mental disorders (tests / scales) across the various sectors - Determines the underpinning of this measure and its performance - Explains the rise of these tests and its success - Understands its impact on users
This third volume in the Handbook of Food Science and Technology Set explains the processing of raw materials into traditional food (bread, wine, cheese, etc.). The agri-food industry has evolved in order to meet new market expectations of its products; with the use of separation and assembly technologies, food technologists and engineers now increasingly understand and control the preparation of a large diversity of ingredients using additional properties to move from the raw materials into new food products. Taking into account the fundamental basis and technological specificities of the main food sectors, throughout the three parts of this book, the authors investigate the biological and biochemical conversions and physicochemical treatment of food from animal sources, plant sources and food ingredients.
Crystallization and Crystallizers, part of the Industrial Equipment for Chemical Engineering set, defines how to perform the selection and calculation of equipment needed in the basic operations of process engineering, offering reliable and simple methods, with this volume providing a comprehensive focus on crystallization and crystallizers. Throughout these concise and easy-to-use books, the author uses his vast practical experience and precision knowledge of global research to present an in-depth study of a variety of aspects within the field of chemical engineering. - The formation of crystals (or nucleation) is studied in its theoretical and practical details - The author also provides methods needed for understanding the equipment used in applied thermodynamics - The chapters are complemented with appendices which provide additional information as well as any associated references
This volume of the Biostatistics and Health Sciences Set focuses on statistics applied to clinical research.The use of SAS for data management and statistical modeling is illustrated using various examples. Many aspects of data processing and statistical analysis of cross-sectional and experimental medical data are covered, including regression models commonly found in medical statistics. This practical book is primarily intended for health researchers with a basic knowledge of statistical methodology. Assuming basic concepts, the authors focus on the practice of biostatistical methods essential to clinical research, epidemiology and analysis of biomedical data (including comparison of two groups, analysis of categorical data, ANOVA, linear and logistic regression, and survival analysis). The use of examples from clinical trials and epidemiological studies provide the basis for a series of practical exercises, which provide instruction and familiarize the reader with essential SAS commands. - Presents the use of SAS software in the statistical approach for the management of data modeling - Includes elements of the language and descriptive statistics - Supplies measures of association, comparison of means, and proportions for two or more samples - Explores linear and logistic regression - Provides survival data analysis
Social representations, beliefs, values and knowledge are just some of the aspects that affect how the beneficiaries of preventative health measures perceive their wellbeing. Health Education and Prevention questions and analyzes these concepts in order to consider new ways of theorizing patients’ conceptions of their health. From a methodological point of view, these analyses are put into practice with the design of prevention tools and devices. The use of a corpora of photographs is particularly meaningful in this respect. This book offers an authoritative perspective by noting important points of vigilance in training, and especially by distinguishing instructive contents conducive to the development of an explicit health pedagogy for more effective prevention measures. A model for categorizing situations integrating both educational and healthcare paths is also proposed.