Engineering Design and Graphics with SolidWorks 2023 In Engineering Design and Graphics with SolidWorks 2023, award-winning CAD instructor and author James Bethune shows students how to use SolidWorks to create engineering drawings and designs. The textbook has been updated to cover the new features in SolidWorks 2023. It focuses on the creation of engineering drawings, including dimensions and tolerances and the use of standard parts and tools. Each chapter contains step-by-step sample problems that show students how to apply the concepts presented in the chapter. Effective pedagogy throughout the text helps students learn and retain concepts: Objectives: Each chapter begins with objectives and an introduction to the material. Summaries: Each chapter concludes with a summary and exercise problems. Numerous Illustrations: The multitude of illustrations, accompanied by explanatory captions, present a visual approach to learning. Students see in the text what they see on the screen with the addition of explanatory text. Practical Application: The text provides hundreds of exercise projects of varying difficulty (far more than any other computer graphics text). These exercises reinforce each chapter’s content and help students learn by doing. Flexibility: With the hundreds of problems presented in the book, instructors can assign different problems within the same class and from year to year without repeating problems for students. Meets Standards: The text teaches ANSI standards for dimensions and tolerances. This helps students understand how their designs are defined for production and the importance of proper tolerancing. Step-by-Step Approach: In presenting the fundamentals of engineering drawing using SolidWorks, the text uses a step-by-step approach that allows students to work and learn at their own pace  

Honorable Mention, Aldo and Jeanne Scaglione Prize for Comparative Literary Studies, Modern Language Association Twenty-first-century philosophy has been drawn into a false opposition between speculation and critique. Nathan Brown shows that the key to overcoming this antinomy is a re-engagement with the relation between rationalism and empiricism. If Kant’s transcendental philosophy attempted to displace the opposing priorities of those orientations, any speculative critique of Kant will have to re-open and consider anew the conflict and complementarity of reason and experience. Rationalist Empiricism shows that the capacity of reason and experience to extend and yet delimit each other has always been at the core of philosophy and science. Coordinating their discrepant powers, Brown argues, is what enables speculation to move forward in concert with critique. Sweeping across ancient, modern, and contemporary philosophy, as well as political theory, science, and art, Brown engages with such major thinkers as Plato, Descartes, Hume, Hegel, Marx, Heidegger, Bachelard, Althusser, Badiou, and Meillassoux. He also shows how the concepts he develops illuminate recent projects in the science of measurement and experimental digital photography. With conceptual originality and argumentative precision, Rationalist Empiricism reconfigures the history and the future of philosophy, politics, and aesthetics.

Honorable Mention, Aldo and Jeanne Scaglione Prize for Comparative Literary Studies, Modern Language Association Twenty-first-century philosophy has been drawn into a false opposition between speculation and critique. Nathan Brown shows that the key to overcoming this antinomy is a re-engagement with the relation between rationalism and empiricism. If Kant's transcendental philosophy attempted to displace the opposing priorities of those orientations, any speculative critique of Kant will have to re-open and consider anew the conflict and complementarity of reason and experience. Rationalist Empiricism shows that the capacity of reason and experience to extend and yet delimit each other has always been at the core of philosophy and science. Coordinating their discrepant powers, Brown argues, is what enables speculation to move forward in concert with critique. Sweeping across ancient, modern, and contemporary philosophy, as well as political theory, science, and art, Brown engages with such major thinkers as Plato, Descartes, Hume, Hegel, Marx, Heidegger, Bachelard, Althusser, Badiou, and Meillassoux. He also shows how the concepts he develops illuminate recent projects in the science of measurement and experimental digital photography. With conceptual originality and argumentative precision, Rationalist Empiricism reconfigures the history and the future of philosophy, politics, and aesthetics.

Poetry, or poiesis, has long been understood as a practice of making. But how are experiments in the making of poetic forms related to formal making in science and engineering? The Limits of Fabrication takes up this question in the context of recent developments in nanoscale materials science, investigating concepts and ideologies of form at stake in new approaches to material construction. Tracing the direct pertinence of fields crucial to the new materials science (nanotechnology, biotechnology, crystallography, and geodesic design) in the work of Shanxing Wang, Caroline Bergvall, Christian Boek, and Ronald Johnson back to the midcentury development of Charles Olson's "objectist" poetics, Nathan Brown carves out a tradition of constructivist, nonorganic poetics that has developed in conversation with science and engineering. While proposing a new approach to the relation of techne (craft, skill) and poiesis (making, forming), this book also intervenes in philosophical debates concerning the concept of the object, the distinction between organic and inorganic matter, theories of self-organization, and the relation between "design" and "nature." Engaging with Heidegger, Agamben, Whitehead, Stiegler, and Nancy, Brown shows that materials science and materialist poetics offer crucial resources for thinking through the direction of contemporary materialist philosophy.

This collection revisits A Theory of Literary Production (1966) to show how Pierre Macherey's remarkable-and still provocative-early work can contribute to contemporary discussions about the act of reading and the politics of formal analysis. Across a series of historically and philosophically contextualized readings, the volume's contributors interrogate Macherey's work on a range of pressing issues, including the development of a theory of reading and criticism, the relationship between the spoken and the unspoken, the labor of poetic determination and of literature's resistance to ideological context, the literary relevance of a Spinozist materialism, the process of racial subjectification and the ontology of Blackness, and a theorization of the textual surface. Pierre Macherey and the Case of Literary Production also includes three new texts by Macherey, presented here in English for the first time: his postface to the revised French edition of A Theory of Literary Production; "Reading Althusser," in which Macherey analyzes the concept of symptomatic reading; and a comprehensive interview in which Macherey reflects on the historical conditions of his early work, the long arc of his career at the intersection of philosophy and literature, and the ongoing importance of Louis Althusser's thought. Recent translations of Macherey's work into English have introduced new readers to the critic's enduring power and originality. Timely in its questions and teeming with fresh insights, Pierre Macherey and the Case of Literary Production demonstrates the depths to which his work resonates, now more than ever.

Covering computational tools in drug design using techniques from chemoinformatics, molecular modelling and computational chemistry, this book explores these methodologies and applications of in silico medicinal chemistry. The first part of the book covers molecular representation methods in computing in terms of chemical structure, together with guides on common structure file formats. The second part examines commonly used classes of molecular descriptors. The third part provides a guide to statistical learning methods using chemical structure data, covering topics such as similarity searching, clustering and diversity selection, virtual library design, ligand docking and de novo design. The final part of the book summarises the application of methods to the different stages of drug discovery, from target ID, through hit finding and hit-to-lead, to lead optimisation. This book is a practical introduction to the subject for researchers new to the fields of chemoinformatics, molecular modelling and computational chemistry.

Following significant advances in deep learning and related areas interest in artificial intelligence (AI) has rapidly grown. In particular, the application of AI in drug discovery provides an opportunity to tackle challenges that previously have been difficult to solve, such as predicting properties, designing molecules and optimising synthetic routes. Artificial Intelligence in Drug Discovery aims to introduce the reader to AI and machine learning tools and techniques, and to outline specific challenges including designing new molecular structures, synthesis planning and simulation. Providing a wealth of information from leading experts in the field this book is ideal for students, postgraduates and established researchers in both industry and academia.