Working with scientists has been suggested as a powerful activity that can stimulate students' interest and career aspirations in science. However, how to address challenges of power-over issues and communication barriers in youth-scientist partnerships? In Youths' Cogenerative Dialogues with Scientists, the author describes a pioneering study to improve internship communications between youth and scientists through cogenerative dialogues. The findings show that cogenerative dialogues can help youth and scientists recognize, express, and manage their challenges and emotions as they arise in their internships. As a result, cogenerative dialogues help youth and scientists work productively as a team and enhance their social boding. Suggestions are also provided for science educators to design more innovative and effective projects for future youth-scientist partnerships.

Type II diabetes is a massive industry, but it's terrible medicine. Insulin resistance is not a malfunction to be fixed. It's the way cells defend themselves against toxicity from too much glucose uptake. Yet conventional medicine insists on overriding those defenses with drugs, forcing cells to take up far too much glucose, simply to clear it from the blood. The results are worsening glucose toxicity, insulin resistance, and heart disease risk. A total re-thinking of type II diabetes is long overdue, and is now here, written by a scientist who has lived through and beaten his own type II diabetes.

BIG DATA, ARTIFICIAL INTELLIGENCE AND DATA ANALYSIS SET Coordinated by Jacques Janssen Data analysis is a scientific field that continues to grow enormously, most notably over the last few decades, following rapid growth within the tech industry, as well as the wide applicability of computational techniques alongside new advances in analytic tools. Modeling enables data analysts to identify relationships, make predictions, and to understand, interpret and visualize the extracted information more strategically. This book includes the most recent advances on this topic, meeting increasing demand from wide circles of the scientific community. Applied Modeling Techniques and Data Analysis 1 is a collective work by a number of leading scientists, analysts, engineers, mathematicians and statisticians, working on the front end of data analysis and modeling applications. The chapters cover a cross section of current concerns and research interests in the above scientific areas. The collected material is divided into appropriate sections to provide the reader with both theoretical and applied information on data analysis methods, models and techniques, along with appropriate applications.

Physics Problem-Solving Techniques for Understanding and Success in First Year Mechanics: A Structured Approach for Scientists and Engineers addresses a topic generally skipped in first-year textbooks: how conceptual understanding of the laws of physics are applied to problem-solving in a systematic way, as experts do. The book was written to empower students with the knowledge and skills necessary for them to have confidence solving any problem in mechanics, and later, to those in related disciplines. The opening chapter is on the topic of word problems featuring examples from 1D kinematics. Chapters 2 through 6 mirror the same order found in most standard first-year physics textbooks: Newton's Second Law, Work-Kinetic Energy Theorem, Conservation of Energy, Conservation of Momentum, and Rotational Dynamics and Angular Momentum. An appendix contains a review of unit analysis and unit conversion. Each chapter begins by reviewing a principle of mechanics in the context of its application to problem-solving, ending with a summary of the problem-solving steps for that principle. The second half of each chapter has example solutions in a two-column format with the solution steps on the left and annotations on the right, describing the steps so that students learn how the same steps are applied to all problems using the same principle.

The world of single-board computing puts powerful coding tools in the palm of your hand. The portable Raspberry Pi computing platform with the power of Linux yields an exciting exploratory tool for beginning scientific computing. Science and Computing with Raspberry Pi takes the enterprising researcher, student, or hobbyist through explorations in a variety of computing exercises with the physical sciences. The book has tutorials and exercises for a wide range of scientific computing problems while guiding the user through: Configuring your Raspberry Pi and Linux operating system Understanding the software requirements while using the Pi for scientific computing Computing exercises in physics, astronomy, chaos theory, and machine learning