<p>This book argues that two great problems of learning confront humanity: learning about the nature of the universe and about ourselves and other living things as a part of it; and learning how to become civilized. The author proposes that with the creation of modern science in the 17th century, the first problem was essentially solved.  But the second problem has still not been solved today, and that combination of solving the first problem, but failing to solve the second one, puts us in a situation of unprecedented danger.  All our current global problems are the result.  The 18<sup>th</sup> century Enlightenment tried to solve the second great problem of achieving world enlightenment by learning from the solution to the first problem, but in implementing this idea, they made three serious blunders.  These ancient blunders are still built into academia today.  Correct the three blunders we have inherited from the Enlightenment, and we would have what we so urgently need: institutions of learning, universities and schools, rationally designed and devoted to helping us resolve our conflicts and global problems, and thus make progress towards a good, genuinely civilized world.  <i>Science and Enlightenment: Two Great Problems of Learning</i> will interest a broad audience, ranging from academics, university students and teachers; journalists, politicians and general readers concerned about global problems and the fate of the world.<b></b></p> <p><br></p> <p>        </p> <p>             </p> <p></p> <p></p> <p></p> <p></p>
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<p>Intertidal mudflats are distinct, highly-productive marine habitats which provide important ecosystem services to the land-sea interface. In contrast to other marine habitats, and despite a large body of primary scientific literature, no comprehensive synthesis exists, such that the scattered knowledge base lacks an integrated conceptual framework. We attempt to provide this synthesis by pulling together and contextualizing the different disciplines, tools, and approaches used in the study of intertidal mudflats. The editor pays particular attention to relationships between the various components of the synthesis, both at the conceptual and the operational levels, validating these relationships through close interaction with the various authors.</p>
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During the last decades, freight transportation experienced a worldwide boom. At the same time, competition increased considerably, such that efficient cost structures are indispensable for any market player. One of the main challenges a transportation company faces is the efficient employment of its personnel in operations, commonly referred to as crew scheduling. <div> <br> </div> <div> In this book the author presents solution approaches to large-scale crew scheduling. Firstly, the implementation of state-of-the-art operations research methods for a setting at a major European freight railway carrier is presented. Secondly, the author discusses acceleration techniques that make the developed algorithms applicable even in short-term contexts. While the analysis is based on European freight railway settings, the gained insights also apply to other (crew) scheduling contexts. </div> <div> <br> </div> <div> Potential readership includes scholars and graduate students who are interested in the fields of crew scheduling and column generation as well as practitioners from transportation companies looking for new planning approaches. </div>
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<div> Current LCA methodologies employed to assess the intensity of environmental impacts lack a regional view, even though the sensitivity of the receiving environment is important in determining the specific levels of risks. </div> <div> <br> </div> <div> This book seeks to redress the balance and develop a globally applicable, affordable and feasible approach to determine differentiated sets of possible impacts with higher environmental burdens derived from food supply chain processes. To this end, the earth’s land surface is divided into so-called “ecoregions”, defined by their specific characteristics such as soil, climate, and topography/physiography, and associated with the relevant risks for each ecoregion. </div> <div> <br> </div> <div> The use of ecoregions and respective environmental risks can help enterprises recognize the environmental effect of their products but also help improve the reliability of comparisons between LCA results in different regions. </div>
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<div> Harness the power of MATLAB to resolve a wide range of machine learning challenges. This book provides a series of examples of technologies critical to machine learning. Each example solves a real-world problem. </div> <div>   </div> <div> All code in <i>MATLAB Machine Learning Recipes:  A Problem-Solution Approach</i> is executable. The toolbox that the code uses provides a complete set of functions needed to implement all aspects of machine learning. Authors <b>Michael Paluszek</b> and <b>Stephanie Thomas</b> show how all of these technologies allow the reader to build sophisticated applications to solve problems with pattern recognition, autonomous driving, expert systems, and much more. </div> <div> <br> </div> <div> <b>What you'll learn:</b> </div> <div> <ul> <li>How to write code for machine learning, adaptive control and estimation using MATLAB<br></li> <li>How these three areas complement each other<br></li> <li>How these three areas are needed for robust machine learning applications<br></li> <li>How to use MATLAB graphics and visualization tools for machine learning<br></li> <li>How to code real world examples in MATLAB for major applications of machine learning in big data<br></li> </ul> </div> <div>   </div> <div> <b>Who is this book for:</b> </div>  <div> The primary audiences are engineers, data scientists and students wanting a comprehensive and code cookbook rich in examples on machine learning using MATLAB. </div> <div> <br> </div>
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<p></p> <p>This book explores contemporary and historical examples of bureaucratic discretion to describe a continuum of resistance to authoritative directives by hierarchical superiors. Resistance ranges from blind obedience or complete nonresistance to street-level opposition; in between these extremes, however, are minimal compliance and resistance sanctioned by immediate superiors. Although politicians may pass legislation, the subject of bureaucratic implementation or lack thereof remains an area of vital concern. Grounded in administrative theory (beginning with Woodrow Wilson’s seminal discussion of the virtue of adopting a businesslike approach to American governing) and emphasizing the power of street-level bureaucrats, the aim of this book is to expand awareness of the potentially dangerous power of insulated bureaucrats. </p> <br> <p></p>
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<div> This book investigates the socioeconomic factors that triggered Tunisia’s "revolution for dignity” and the current issues and challenges facing its economy while suggesting mechanisms and instruments for their resolution. The author begins by analyzing the roots of the revolution and the post-revolution situation from a political sociology perspective and then diagnoses the Tunisian economy before and after the revolution and identifies the multidimensional binding constraints preventing it from escaping the middle-income trap. The book then explores the pillars of an inclusive development strategy that Tunisia should pursue. The emphasis is made on building inclusive institutions, developing a new social contract and reinventing the country's leadership. Beyond the institutional dimension, the author suggests innovative financial channels, discusses the strategy of a successful integration of the Tunisian economy in the global economy as well as the pillars of its transformation into a knowledge-based economy.    </div> <div> <br> </div>
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Introduces readers to core algorithmic techniques for next-generation sequencing (NGS) data analysis and discusses a wide range of computational techniques and applications This book provides an in-depth survey of some of the recent developments in NGS and discusses mathematical and computational challenges in various application areas of NGS technologies. The 18 chapters featured in this book have been authored by bioinformatics experts and represent the latest work in leading labs actively contributing to the fast-growing field of NGS. The book is divided into four parts: Part I focuses on computing and experimental infrastructure for NGS analysis, including chapters on cloud computing, modular pipelines for metabolic pathway reconstruction, pooling strategies for massive viral sequencing, and high-fidelity sequencing protocols. Part II concentrates on analysis of DNA sequencing data, covering the classic scaffolding problem, detection of genomic variants, including insertions and deletions, and analysis of DNA methylation sequencing data. Part III is devoted to analysis of RNA-seq data. This part discusses algorithms and compares software tools for transcriptome assembly along with methods for detection of alternative splicing and tools for transcriptome quantification and differential expression analysis. Part IV explores computational tools for NGS applications in microbiomics, including a discussion on error correction of NGS reads from viral populations, methods for viral quasispecies reconstruction, and a survey of state-of-the-art methods and future trends in microbiome analysis. Computational Methods for Next Generation Sequencing Data Analysis: * Reviews computational techniques such as new combinatorial optimization methods, data structures, high performance computing, machine learning, and inference algorithms * Discusses the mathematical and computational challenges in NGS technologies * Covers NGS error correction, de novo genome transcriptome assembly, variant detection from NGS reads, and more This text is a reference for biomedical professionals interested in expanding their knowledge of computational techniques for NGS data analysis. The book is also useful for graduate and post-graduate students in bioinformatics.
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