Model Health

This volume addresses characteristics of model plants such as Arabidopsis, moss, soybean, maize, and cotton, highlighting their advantages and limitations as well as their importance in studies of plant development, plant genome polyploidization, adaptive selection, evolution, and domestication, as well as their importance in crop improvement.

In recent decades, policymakers all over the world have sought to strengthen the meaning and effect of public, non-medical healthcare. This publication is the result of the research initiation project »Arteria Danubia ‒ Analysis and Discussion on the Implementation of Model Health Regions in the Upper and Lower Reaches of the Danube« (2017 to 2019), which focused on healthcare in Bulgaria, Germany and Hungary. In this book, researchers from the participating universities and organizations explore the topic of public health in all its facets: How can public policy and education influence people’s health? How are lifestyle-related diseases to be avoided? And how best to implement digital healthcare solutions?

In recent decades, policymakers all over the world have sought to strengthen the meaning and effect of public, non-medical healthcare. This publication is the result of the research initiation project »Arteria Danubia ‒ Analysis and Discussion on the Implementation of Model Health Regions in the Upper and Lower Reaches of the Danube« (2017 to 2019), which focused on healthcare in Bulgaria, Germany and Hungary. In this book, researchers from the participating universities and organizations explore the topic of public health in all its facets: How can public policy and education influence people’s health? How are lifestyle-related diseases to be avoided? And how best to implement digital healthcare solutions?

This book is a systematic update of the philosophical and scientific foundations of the biopsychosocial model of health, disease and healthcare. First proposed by George Engel 40 years ago, the Biopsychosocial Model is much cited in healthcare settings worldwide, but has been increasingly criticised for being vague, lacking in content, and in need of reworking in the light of recent developments. The book confronts the rapid changes to psychological science, neuroscience, healthcare, and philosophy that have occurred since the model was first proposed and addresses key issues such as the model’s scientific basis, clinical utility, and philosophical coherence.

This book investigates the substructuring technology in structural health monitoring (SHM) to improve the accuracy and efficiency of the present SHM methods. SHM has been developed for monitoring, evaluation, and maintenance of civil structures. As the civil structures are usually large scale and a large number of sensors are deployed on a structure, accurate evaluation and maintenance of civil structures are always time-consuming. The book establishes a fundamental framework of substructuring method for the fast analysis of finite element (FE) model and monitoring data. Several practical civil structures are used for illustration. The book is intended for undergraduate and graduate students who are interested in SHM technology, researchers investigating the accurate, efficient, and effective methods in SHM field, and engineers working on evaluation and maintenance of civil structures or other structural dynamics applications.