Worldwide, countries have to respond to local and global socio-technological shifts and needs, specifically the transformations wrought by a rapidly shifting understanding of the Fourth Industrial Revolution. Science, technology and innovation policy (STI) finds itself at the intersection of these local and global challenges. Innovation Policy at the Intersection: Global Debates and Local Experiences shows that a comprehensive rethink in STI policy-making is required - one that takes a systemic view of the varied challenges, and adopts an inclusive and holistic approach to STI policy. Such a rethink has to bring together the global and local, the theoretical and practical. The chapters in this book follow three broad concerns: The theories and approaches that have historically informed STI policy-making, along with the most influential current approaches in different country contexts; The development and application of comprehensive STI monitoring and evaluation systems as developed and implemented by various public agencies; and The role and function of STI policy advisory bodies within their respective contexts. Innovation Policy at the Intersection provides a comparative lens of different theories and practices across a unique spectrum of national contexts, including Austria, Brazil, Colombia, Finland, Iran, Mexico, Norway, South Africa, South Korea, and Sweden.

This book is a collection of essays, written by an international group of historians of chemistry, about some of the most interesting chemists dating back into the 18th century. The contributing authors are well-established biographers, and their subjects make a diverse cast of chemistry characters. Among the chemists covered are Robert Bunsen, Joseph Black, John Dalton, Lucretia Borgia, William Crookes, and Humphry Davy. These chemists come from all over the world, and from different eras. Together, this collection truly is a celebration of the wide range of personalities and characters that have worked in chemistry over the centuries.

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.

Three-Dimensional Electron Microscopy, Volume 152 in the Methods in Cell Biology series, highlights new advances in the field, with this new volume presenting interesting chapters focusing on FIB-SEM of mouse nervous tissue: fast and slow sample preparation, Serial-section electron microscopy using ATUM - Automated Tape collecting Ultra-Microtome, Software for automated acquisition of electron tomography tilt series, Scanning electron tomography of biological samples embedded in plastic, Cryo-STEM tomography for Biology, CryoCARE: Content-aware denoising of cryo-EM images and tomograms using artificial neural networks, Expedited large-volume 3-D SEM workflows for comparative vertebrate microanatomical imaging, and many other interesting topics.