Exploring Mathematical Modeling in Biology through Case Studies and Experimental Activities provides supporting materials for courses taken by students majoring in mathematics, computer science or in the life sciences. The book's cases and lab exercises focus on hypothesis testing and model development in the context of real data. The supporting mathematical, coding and biological background permit readers to explore a problem, understand assumptions, and the meaning of their results. The experiential components provide hands-on learning both in the lab and on the computer. As a beginning text in modeling, readers will learn to value the approach and apply competencies in other settings. Included case studies focus on building a model to solve a particular biological problem from concept and translation into a mathematical form, to validating the parameters, testing the quality of the model and finally interpreting the outcome in biological terms. The book also shows how particular mathematical approaches are adapted to a variety of problems at multiple biological scales. Finally, the labs bring the biological problems and the practical issues of collecting data to actually test the model and/or adapting the mathematics to the data that can be collected. - Presents a single volume on mathematics and biological examples, with data and wet lab experiences suitable for non-experts - Contains three real-world biological case studies and one wet lab for application of the mathematical models - Includes R code templates throughout the text, which are also available through an online repository, along with the necessary data files to complete all projects and labs

Control Theory in Biomedical Engineering: Applications in Physiology and Medical Robotics highlights the importance of control theory and feedback control in our lives and explains how this theory is central to future medical developments. Control theory is fundamental for understanding feedback paths in physiological systems (endocrine system, immune system, neurological system) and a concept for building artificial organs. The book is suitable for graduate students and researchers in the control engineering and biomedical engineering fields, and medical students and practitioners seeking to enhance their understanding of physiological processes, medical robotics (legs, hands, knees), and controlling artificial devices (pacemakers, insulin injection devices).Control theory profoundly impacts the everyday lives of a large part of the human population including the disabled and the elderly who use assistive and rehabilitation robots for improving the quality of their lives and increasing their independence. - Gives an overview of state-of-the-art control theory in physiology, emphasizing the importance of this theory in the medical field through concrete examples, e.g., endocrine, immune, and neurological systems - Takes a comprehensive look at advances in medical robotics and rehabilitation devices and presents case studies focusing on their feedback control - Presents the significance of control theory in the pervasiveness of medical robots in surgery, exploration, diagnosis, therapy, and rehabilitation

This book is a detailed and comprehensive synthesis of the scientific study of aging. Dozens of contributions from leading scholars review various theories of aging, and molecular, cellular, biochemical and microbial aspects of aging, among just a few of the topics included. Authoritative, wide ranging and thorough, this book will act as a source for experimental design, a comprehensive description of age related diseases, and provide information of the latest molecular theories underlying their causes. Additionally, it will target industries involved in developing anti-aging drugs, post-graduate medical students, and university libraries.

Virtual Realities, Real Learning: Transforming Education through VR In the rapidly evolving landscape of education, Virtual Reality (VR) emerges as a beacon of innovation, promising to revolutionize how we learn, teach, and perceive the world around us. "Virtual Realities, Real Learning" delves into the heart of this transformation, exploring the profound impact of VR technology across educational settings. From immersive historical tours to complex scientific experiments, this book unveils the boundless potential of VR to enhance engagement, improve learning outcomes, and democratize access to knowledge. Through detailed analysis and compelling case studies, readers are guided through the foundational technologies behind VR, the diverse applications enriching subjects like science, history, and art, and the creative processes behind designing impactful educational content. The book addresses the challenges of integrating VR into classrooms, from technical hurdles to ethical considerations, and outlines a vision for a future where learning transcends traditional boundaries, empowered by VR and allied technologies like AI, AR, and blockchain. "Virtual Realities, Real Learning" is not just a journey through the current state of VR in education but a roadmap to its exciting future. It is an essential read for educators, technologists, policymakers, and anyone passionate about the intersection of technology and education. Discover how VR is shaping the future of learning, making it more immersive, personalized, and accessible than ever before. Join us at the forefront of an educational revolution, where virtual realities foster real learning, and the classrooms of tomorrow come to life today.

Mathematical modelling and computer simulations are playing a crucial role in the solution of the complex problems arising in the field of biomedical sciences and provide a support to clinical and experimental practices in an interdisciplinary framework. Indeed, the development of mathematical models and efficient numerical simulation tools is of key importance when dealing with such applications. Moreover, since the parameters in biomedical models have peculiar scientific interpretations and their values are often unknown, accurate estimation techniques need to be developed for parameter identification against the measured data of observed phenomena. In the light of the new challenges brought by the biomedical applications, computational mathematics paves the way for the validation of the mathematical models and the investigation of control problems. The volume hosts high-quality selected contributions containing original research results as well as comprehensive papers and survey articles including prospective discussion focusing on some topical biomedical problems. It is addressed, but not limited to: research institutes, academia, and pharmaceutical industries.

With age-appropriate, inquiry-centered curriculum materials and sound teaching practices, middle school science can capture the interest and energy of adolescent students and expand their understanding of the world around them. Resources for Teaching Middle School Science, developed by the National Science Resources Center (NSRC), is a valuable tool for identifying and selecting effective science curriculum materials that will engage students in grades 6 through 8. The volume describes more than 400 curriculum titles that are aligned with the National Science Education Standards. This completely new guide follows on the success of Resources for Teaching Elementary School Science, the first in the NSRC series of annotated guides to hands-on, inquiry-centered curriculum materials and other resources for science teachers. The curriculum materials in the new guide are grouped in five chapters by scientific areaâ€"Physical Science, Life Science, Environmental Science, Earth and Space Science, and Multidisciplinary and Applied Science. They are also grouped by typeâ€"core materials, supplementary units, and science activity books. Each annotation of curriculum material includes a recommended grade level, a description of the activities involved and of what students can be expected to learn, a list of accompanying materials, a reading level, and ordering information. The curriculum materials included in this book were selected by panels of teachers and scientists using evaluation criteria developed for the guide. The criteria reflect and incorporate goals and principles of the National Science Education Standards. The annotations designate the specific content standards on which these curriculum pieces focus. In addition to the curriculum chapters, the guide contains six chapters of diverse resources that are directly relevant to middle school science. Among these is a chapter on educational software and multimedia programs, chapters on books about science and teaching, directories and guides to science trade books, and periodicals for teachers and students. Another section features institutional resources. One chapter lists about 600 science centers, museums, and zoos where teachers can take middle school students for interactive science experiences. Another chapter describes nearly 140 professional associations and U.S. government agencies that offer resources and assistance. Authoritative, extensive, and thoroughly indexedâ€"and the only guide of its kindâ€"Resources for Teaching Middle School Science will be the most used book on the shelf for science teachers, school administrators, teacher trainers, science curriculum specialists, advocates of hands-on science teaching, and concerned parents.

Nano-enabled Sustainable and Precision Agriculture is the first single-volume resource to cover this important field using a whole systems approach that considers both opportunities and challenges. The book provides a comprehensive understanding of the role of nanotechnology in agriculture from broad aspects, but also includes a comprehensive view of the interaction of nanomaterials with soil-plant systems. It highlights aspects not described in previous books, including the application of nanoinformatics and artificial intelligence in nano-enabled sustainable agriculture, the application of nanotechnology in alternative forms of agriculture such as hydroponics, and regulatory frameworks for this research field.The book addresses all these aspects by including sections on enhanced sustainability, reduced pollution and enhanced ecosystems' health, and the role of nanoinformatics and machine learning. - Provides foundational insights and resources for each area, including soil science, water chemistry, nanoscience, plant science, microbiology and nanoinformatics - Focuses on mechanisms of action, transformations and the underpinning chemistry and biochemistry - Includes linkages and cross-referencing between chapters to ensure a cohesive and comprehensive resource