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Materials and Electro-mechanical and Biomedical Devices Based on Nanofibers (CISM International Centre for Mechanical Sciences #611)
by Alexander L. Yarin Filippo Pierini Eyal Zussman Marco LauricellaThe book is interwoven according to the intrinsic logics of modern most important applications of electrospun nanofibers. It discusses such application-oriented nanofibers as self-healing vascular nanotextured materials, biopolymer nanofibers, soft robots and actuators based on nanofibers, biopolymer nanofiber-based triboelectric nanogenerators, metallized nanofibers, and heaters and sensors based on them. It also includes such topics as the injectable nanofibrous biomaterials, fibrous hemostatic agents and their interaction with blood, as well as electrospun nanofibers for face-mask applications. The book also details polyelectrolytes-based complex nanofibers and their use as actuators. It also covers drug release facilitated by polyelectrolytes-based complex nanofibers. The fundamental aspects of electrospinning of polymer nanofibers discussed in the final part of the book link them to the applications described in the preceding chapters. Such topics as polymer solution preparation and their rheological properties, e.g., viscoelasticity and the related spinnability, the electrical conductivity of polymer solutions, and the cascade of the physical phenomena resulting in formation of nanofibers encompass the experimental aspects. Also, the general quasi-1D equations used for modeling of formation of electrospun polymer nanofibers, and the numerical aspects of their solution are discussed in detail, including such modeling-driven applications as nanofiber alignment by electric focusing fields.
Materials Data Science: Introduction to Data Mining, Machine Learning, and Data-Driven Predictions for Materials Science and Engineering (The Materials Research Society Series)
by Stefan SandfeldThis text covers all of the data science, machine learning, and deep learning topics relevant to materials science and engineering, accompanied by numerous examples and applications. Almost all methods and algorithms introduced are implemented “from scratch” using Python and NumPy. The book starts with an introduction to statistics and probabilities, explaining important concepts such as random variables and probability distributions, Bayes’ theorem and correlations, sampling techniques, and exploratory data analysis, and puts them in the context of materials science and engineering. Therefore, it serves as a valuable primer for both undergraduate and graduate students, as well as a review for research scientists and practicing engineers. The second part provides an in-depth introduction of (statistical) machine learning. It begins with outlining fundamental concepts and proceeds to explore a variety of supervised learning techniques for regression and classification, including advanced methods such as kernel regression and support vector machines. The section on unsupervised learning emphasizes principal component analysis, and also covers manifold learning (t-SNE and UMAP) and clustering techniques. Additionally, feature engineering, feature importance, and cross-validation are introduced. The final part on neural networks and deep learning aims to promote an understanding of these methods and dispel misconceptions that they are a “black box”. The complexity gradually increases until fully connected networks can be implemented. Advanced techniques and network architectures, including GANs, are implemented “from scratch” using Python and NumPy, which facilitates a comprehensive understanding of all the details and enables the user to conduct their own experiments in Deep Learning.
Materials Informatics and Catalysts Informatics: An Introduction
by Keisuke Takahashi Lauren TakahashiThis textbook is designed for students and researchers who are interested in materials and catalysts informatics with little to no prior experience in data science or programming languages. Starting with a comprehensive overview of the concept and historical context of materials and catalysts informatics, it serves as a guide for establishing a robust materials informatics environment. This essential resource is designed to teach vital skills and techniques required for conducting informatics-driven research, including the intersection of hardware, software, programming, machine learning within the field of data science and informatics. Readers will explore fundamental programming techniques, with a specific focus on Python, a versatile and widely-used language in the field. The textbook explores various machine learning techniques, equipping learners with the knowledge to harness the power of data science effectively. The textbook provides Python code examples, demonstrating materials informatics applications, and offers a deeper understanding through real-world case studies using materials and catalysts data. This practical exposure ensures readers are fully prepared to embark on their informatics-driven research endeavors upon completing the textbook. Instructors will also find immense value in this resource, as it consolidates the skills and information required for materials informatics into one comprehensive repository. This streamlines the course development process, significantly reducing the time spent on creating course material. Instructors can leverage this solid foundation to craft engaging and informative lecture content, making the teaching process more efficient and effective.
The Maternal Mindset: A journal for all mums going through the postnatal journey
by Annie HumphrisA journal for all mums going through the postnatal journey Conceived and compiled by new mum Annie Humphris, The Maternal Mindset is a journal for anyone navigating the trials and tribulations of motherhood. It aims to create a safe space for readers to release their thoughts and feelings without any judgement. Simple to read and to navigate, this book uses minimalist graphics and limited colours to avoid overwhelming even the most burnt-out or sleep-deprived mum. As well as offering advice and support on topics such as Overwhelm, Burnout, Expectations vs Reality and Identity, The Maternal Mindset includes many contributions from ‘Real Life Mums’.
The Math Adventurers Share a Camping Trip: A Story About Division (The Math Adventurers)
by Sital Gorasia ChapmanJoin two friendly and funny robots, Beep and Boots, as they learn all about division and discover that math is everywhere they look.Beep and Boots are going on a camping trip in the great outdoors. They've got a warm sleeping bag each, a snuggly blanket each, and marshmallows to share. But they realize there are not enough tent pegs! Can they learn to divide up what they have and put up their tents before it's time for bed?Characterful illustrations and rhyming text bring Beep and Boots to life. Children ages 5-7 will love seeing the adventures the robot duo go on and will learn key mathematical concepts concerning division in a gentle, fun way. A visual glossary and math questions at the end of the book reinforce learning and encourage kids to look at the math they can see in the world around them.
Math and Architectures of Deep Learning
by Krishnendu ChaudhuryShine a spotlight into the deep learning &“black box&”. This comprehensive and detailed guide reveals the mathematical and architectural concepts behind deep learning models, so you can customize, maintain, and explain them more effectively.Inside Math and Architectures of Deep Learning you will find: Math, theory, and programming principles side by side Linear algebra, vector calculus and multivariate statistics for deep learning The structure of neural networks Implementing deep learning architectures with Python and PyTorch Troubleshooting underperforming models Working code samples in downloadable Jupyter notebooks The mathematical paradigms behind deep learning models typically begin as hard-to-read academic papers that leave engineers in the dark about how those models actually function. Math and Architectures of Deep Learning bridges the gap between theory and practice, laying out the math of deep learning side by side with practical implementations in Python and PyTorch. Written by deep learning expert Krishnendu Chaudhury, you&’ll peer inside the &“black box&” to understand how your code is working, and learn to comprehend cutting-edge research you can turn into practical applications. Foreword by Prith Banerjee. About the technology Discover what&’s going on inside the black box! To work with deep learning you&’ll have to choose the right model, train it, preprocess your data, evaluate performance and accuracy, and deal with uncertainty and variability in the outputs of a deployed solution. This book takes you systematically through the core mathematical concepts you&’ll need as a working data scientist: vector calculus, linear algebra, and Bayesian inference, all from a deep learning perspective. About the book Math and Architectures of Deep Learning teaches the math, theory, and programming principles of deep learning models laid out side by side, and then puts them into practice with well-annotated Python code. You&’ll progress from algebra, calculus, and statistics all the way to state-of-the-art DL architectures taken from the latest research. What's inside The core design principles of neural networks Implementing deep learning with Python and PyTorch Regularizing and optimizing underperforming models About the reader Readers need to know Python and the basics of algebra and calculus. About the author Krishnendu Chaudhury is co-founder and CTO of the AI startup Drishti Technologies. He previously spent a decade each at Google and Adobe. Table of Contents 1 An overview of machine learning and deep learning 2 Vectors, matrices, and tensors in machine learning 3 Classifiers and vector calculus 4 Linear algebraic tools in machine learning 5 Probability distributions in machine learning 6 Bayesian tools for machine learning 7 Function approximation: How neural networks model the world 8 Training neural networks: Forward propagation and backpropagation 9 Loss, optimization, and regularization 10 Convolutions in neural networks 11 Neural networks for image classification and object detection 12 Manifolds, homeomorphism, and neural networks 13 Fully Bayes model parameter estimation 14 Latent space and generative modeling, autoencoders, and variational autoencoders A Appendix
Math-ish: Finding Creativity, Diversity, and Meaning in Mathematics
by Jo BoalerFrom Stanford professor, author of Limitless Mind, youcubed.org founder, and leading expert in the field of mathematics education Jo Boaler comes a groundbreaking guide to finding joy and understanding by adopting a diverse approach to learning math.“Every once in a while, someone revolutionizes an approach to a difficult subject and changes it forever. That is what Jo Boaler has done for math. Fresh, smart, and inclusive, Jo Boaler's strategy eschews the one-size-fits-a-few approach and instead allows math to be seen and solved by everyone. A huge achievement. Math-ish is the only math book I’ve ever enjoyed reading in my entire life. Honestly.” -Bonnie Garmus, author of Lessons in ChemistryMathematics is a fundamental part of life, yet every one of us has a unique relationship with learning and understanding the subject. Working with numbers may inspire confidence in our abilities or provoke anxiety and trepidation. Stanford researcher, mathematics education professor, and the leading expert on math learning Dr. Jo Boaler argues that our differences are the key to unlocking our greatest mathematics potential.In Math-ish, Boaler shares new neuroscientific research on how embracing the concept of “math-ish”—a theory of mathematics as it exists in the real world—changes the way we think about mathematics, data, and ourselves. When we can see the value of diversity among people and multi-faceted approaches to learning math, we are free to truly flourish. Utilizing the latest research on math education, Jo guides us through seven principles that can radically reframe our relationship with the subject:• The power of mindset on learning• Utilizing a visual approach to math• The impact of physical movement and communication on understanding• Understanding the value of an "ish" perspective - in mathematics and beyond• The importance of connected and flexible knowledge• New data on diverse teaching modes that work with different learning styles, not against them• The value of diversity in learning mathematics—and beyondWhen mathematics is approached more broadly, inclusively, and with a greater sense of wonder and play—when we value the different ways people see, approach, and understand it—we empower ourselves and gain a beneficial understanding of its value in our lives.
Mathematical and Statistical Approaches for Anaerobic Digestion Feedstock Optimization (SpringerBriefs in Energy)
by Federico Moretta Giulia BozzanoThis book examines biomass mixture modeling and optimization. The book discusses anaerobic digestion and related fermentative processes and explains their compositional dynamics. Early chapter examine macromolecules, elemental fractions, and their direct influence on methane production. Supported by an extensive data bank of substrates obtained from research, the book points out correlations that enable the estimation of global methane production for diverse biomass mixtures. Furthermore, it provides valuable insights into discerning the optimal composition capable of yielding the utmost methane output.The book integrates cutting-edge machine learning techniques and shows how the programming language Python and Julia can be used for analysis and to optimize processes. It has many graphs, figures, and visuals.
A Mathematical Journey to Relativity: Deriving Special and General Relativity with Basic Mathematics (UNITEXT for Physics)
by Wladimir-Georges Boskoff Salvatore CapozzielloThe 2nd edition of this textbook features more than 100 pages of new material, including four new chapters, as well as an improved discussion of differential geometry concepts and their applications. The textbook aims to provide a comprehensive geometric description of Special and General Relativity, starting from basic Euclidean geometry to more advanced non-Euclidean geometry and differential geometry. Readers will learn about the Schwarzschild metric, the relativistic trajectory of planets, the deflection of light, the black holes, and the cosmological solutions like de Sitter, Friedman-Lemaître-Robertson-Walker, and Gödel ones, as well as the implications of each of them for the observed physical world. In addition, the book provides step-by-step solutions to problems and exercises, making it an ideal introduction for undergraduate students and readers looking to gain a better understanding of Special and General Relativity. In this new edition, a wide discussion on metric-affine theories of gravity and equivalent formulations of General Relativity is reported. The aim is presenting also topics which could be useful for PhD students and researchers studying General Relativity from an advanced point of view.
Mathematical Logic: On Numbers, Sets, Structures, and Symmetry (Springer Graduate Texts in Philosophy #4)
by Roman KossakThis textbook is a second edition of the successful, Mathematical Logic: On Numbers, Sets, Structures, and Symmetry. It retains the original two parts found in the first edition, while presenting new material in the form of an added third part to the textbook. The textbook offers a slow introduction to mathematical logic, and several basic concepts of model theory, such as first-order definability, types, symmetries, and elementary extensions. Part I, Logic Sets, and Numbers, shows how mathematical logic is used to develop the number structures of classical mathematics. All necessary concepts are introduced exactly as they would be in a course in mathematical logic; but are accompanied by more extensive introductory remarks and examples to motivate formal developments. The second part, Relations, Structures, Geometry, introduces several basic concepts of model theory, such as first-order definability, types, symmetries, and elementary extensions, and shows how they are usedto study and classify mathematical structures. The added Part III to the book is closer to what one finds in standard introductory mathematical textbooks. Definitions, theorems, and proofs that are introduced are still preceded by remarks that motivate the material, but the exposition is more formal, and includes more advanced topics. The focus is on the notion of countable categoricity, which analyzed in detail using examples from the first two parts of the book. This textbook is suitable for graduate students in mathematical logic and set theory and will also be of interest to mathematicians who know the technical aspects of the subject, but are not familiar with its history and philosophical background.
Mathematical Methods for Engineering Applications: ICMASE 2023, Madrid, Spain, July 12–14 (Springer Proceedings in Mathematics & Statistics #439)
by Víctor Gayoso Martínez Fatih Yilmaz Araceli Queiruga-Dios Deolinda M. L. D. Rasteiro Jesús Martín-Vaquero Ion Mierluş-MaziluThese proceedings gather selected, peer-reviewed papers presented at the IV International Conference on Mathematics and its Applications in Science and Engineering – ICMASE 2023, held on July 12–14, 2023 by the University Center of Technology and Digital Arts (U-tad) in Madrid, Spain.Papers in this volume cover new developments in applications of mathematics in science and engineering, with an emphasis on mathematical and computational modeling of real-world problems. Topics range from the use of differential equations to model mechanical structures to the employ of number theory in the development of information security and cryptography. Educational issues specific to the acquisition of mathematical competencies by engineering and science students at all university levels are also touched on.Researchers, practitioners, and university students can significantly benefit from this volume, especially those seeking advanced methods for applying mathematics to various contexts and fields.
Mathematical Methods using Python: Applications in Physics and Engineering
by Vasilis Pagonis Christopher Wayne KulpThis advanced undergraduate textbook presents a new approach to teaching mathematical methods for scientists and engineers. It provides a practical, pedagogical introduction to utilizing Python in Mathematical and Computational Methods courses. Both analytical and computational examples are integrated from its start. Each chapter concludes with a set of problems designed to help students hone their skills in mathematical techniques, computer programming, and numerical analysis. The book places less emphasis on mathematical proofs, and more emphasis on how to use computers for both symbolic and numerical calculations. It contains 182 extensively documented coding examples, based on topics that students will encounter in their advanced courses in Mechanics, Electronics, Optics, Electromagnetism, Quantum Mechanics etc.An introductory chapter gives students a crash course in Python programming and the most often used libraries (SymPy, NumPy, SciPy, Matplotlib). This is followed by chapters dedicated to differentiation, integration, vectors and multiple integration techniques. The next group of chapters covers complex numbers, matrices, vector analysis and vector spaces. Extensive chapters cover ordinary and partial differential equations, followed by chapters on nonlinear systems and on the analysis of experimental data using linear and nonlinear regression techniques, Fourier transforms, binomial and Gaussian distributions. The book is accompanied by a dedicated GitHub website, which contains all codes from the book in the form of ready to run Jupyter notebooks. A detailed solutions manual is also available for instructors using the textbook in their courses.Key Features:· A unique teaching approach which merges mathematical methods and the Python programming skills which physicists and engineering students need in their courses.· Uses examples and models from physical and engineering systems, to motivate the mathematics being taught.· Students learn to solve scientific problems in three different ways: traditional pen-and-paper methods, using scientific numerical techniques with NumPy and SciPy, and using Symbolic Python (SymPy).Vasilis Pagonis is Professor of Physics Emeritus at McDaniel College, Maryland, USA. His research area is applications of thermally and optically stimulated luminescence. He taught courses in mathematical physics, classical and quantum mechanics, analog and digital electronics and numerous general science courses. Dr. Pagonis’ resume lists more than 200 peer-reviewed publications in international journals. He is currently associate editor of the journal Radiation Measurements. He is co-author with Christopher Kulp of the undergraduate textbook “Classical Mechanics: a computational approach, with examples in Python and Mathematica” (CRC Press, 2020). He has also co-authored four graduate-level textbooks in the field of luminescence dosimetry, and most recently published the book “Luminescence Signal analysis using Python” (Springer, 2022).Christopher Kulp is the John P. Graham Teaching Professor of Physics at Lycoming College. He has been teaching undergraduate physics at all levels for 20 years. Dr. Kulp’s research focuses on modelling complex systems, time series analysis, and machine learning. He has published 30 peer-reviewed papers in international journals, many of which include student co-authors. He is also co-author of the undergraduate textbook “Classical Mechanics: a computational approach, with examples in Python and Mathematica” (CRC Press, 2020).
Mathematical Modeling in Physical Sciences: 12th IC-MSQUARE, Belgrade, Serbia, August 28–31, 2023 (Springer Proceedings in Mathematics & Statistics #446)
by Dimitrios VlachosThis volume gathers selected papers presented at the ICMSQUARE 2023 - 12th International Conference on Mathematical Modeling in Physical Sciences held in Belgrade, Serbia from August 28–31, 2023. This proceedings offers a compilation of cutting-edge research, which aims to advance the knowledge and development of high-quality research in mathematical fields related to physics, chemistry, biology, medicine, economics, environmental sciences, and more. Annually held since 2012, the ICMSQUARE conference serves as a platform for the exchange of ideas and discussions on the latest technological trends in these fields. This book is an invaluable resource for researchers, academicians, and professionals in these areas seeking to stay up-to-date with the latest developments in mathematical modeling.
Mathematics for Natural Scientists II: Advanced Methods (Undergraduate Lecture Notes in Physics)
by Lev KantorovichThis textbook, the second in a series (the first covered fundamentals and basics), seeks to make its material accessible to physics students. Physics/engineering can be greatly enhanced by knowledge of advanced mathematical techniques, but the math-specific jargon and laborious proofs can be off-putting to students not well versed in abstract math. This book uses examples and proofs designed to be clear and convincing from the context of physics, as well as providing a large number of both solved and unsolved problems in each chapter. This is the second edition, and it has been significantly revised and enlarged, with Chapters 1 (on linear algebra) and 2 (on the calculus of complex numbers and functions) having been particularly expanded. The enhanced topics throughout the book include: vector spaces, general (non-Hermitian, including normal and defective) matrices and their right/left eigenvectors/values, Jordan form, pseudoinverse, linearsystems of differential equations, Gaussian elimination, fundamental theorem of algebra, convergence of a Fourie series and Gibbs-Wilbraham phenomenon, careful derivation of the Fourier integral and of the inverse Laplace transform. New material has been added on many physics topics meant to illustrate the maths, such as 3D rotation, properties of the free electron gas, van Hove singularities, and methods for both solving PDEs with a Fourier transform and calculating the width of a domain wall in a ferromagnet, to mention just a few. This textbook should prove invaluable to all of those with an interest in physics/engineering who have previously experienced difficulty processing the math involved.
Mathematics in Politics and Governance
by Francisco J. Aragón-Artacho Miguel A. GobernaThis book presents the mathematical tools that politicians use to make rational decisions about health, education, culture, economy, finance, transportation, and national defense for their citizens. The selection of topics addressed is based on the experiences of four veteran politicians who have doctorates or master’s degrees in mathematics. The exposition also considers the mathematical tools used by politicians to capture votes or optimize their impact on the design of electoral districts, i.e., gerrymandering, without forgetting the mathematics applied to parliamentary activity and political science.Aimed at a general educated readership, a basic knowledge of mathematics is the only requisite to understanding most of the book. Certain sections, denoted in the book with a star, contain more advanced material and require some knowledge of undergraduate math. A later chapter is dedicated to applications and techniques of machine learning and the final chapter discusses a variety of cases where political decisions have affected mathematical development. Readers gravitating towards this book are those who are curious about the history of mathematics, including optimizers and mathematicians who would like to learn more about the historical roots of their discipline. There will also be strong appeal to mathematically-oriented economists, political scientists, and people generally interested in mathematics.Mathematics is – or it should be! – an important part of our culture. The impact of mathematics is sometimes silent, but a powerful one. The authors of this book did an incredible work in digging out areas of mathematical reasoning that pervades social and political life. Reading this book, we will all enrich our vision of mathematics’ value for society.(Nuno Crato, Professor of Applied Mathematics, University of Lisbon, former minister of Education and Science of Portugal 2011–2015)This monograph shows in an impressive way that mathematics can be very helpful in making and evaluating political decisions and that it is indispensable in the progressive penetration of all areas of society with scientific methods. This also includes politics. Not everything in politics can be justified or related to mathematics, but politics should not be made in contradiction to mathematical truths. For me, this is a central message of this publication.(Johanna Wanka, Professor of Applied Mathematics, Merseburg University of Applied Sciences, former Minister of Education and Research, Germany 2013–2018)
Mathematics in Postmodern American Fiction (Palgrave Studies in Literature, Science and Medicine)
by Stuart J. TaylorThis book delivers an innovative critical approach to better understand U.S. fiction of the information age, and argues that in the last eighty years, fiction has become increasingly concerned with its representations of mathematical ideas, images, and practices. In so doing, this book provides a fuller, transnational account of the place of mathematics in understanding mathematically informed novels. Literature and science studies have acknowledged and situated historical points of cultural crossover; by emphasising mathematics within this larger intellectual context – and not as an unlikely and alien adjunct to post-war culture – this monograph clarifies how mathematically informed postmodern fictions work in a cognate fashion to other fields undergoing structuralist revolutions. This is especially evident in fiction by the key, mathematically-literate Postmodern authors upon whom this study focuses, namely, Thomas Pynchon, Don DeLillo, and David Foster Wallace, through which recent the technological revolutions, facilitated by mathematics, manifest in cultural discourse.
Mathematische Grundlagen des überwachten maschinellen Lernens: Optimierungstheoretische Methoden
by Konrad EngelDieses Buch behandelt die gängigsten Methoden zur Klassifikation von digitalisierten Objekten. Jedem Objekt ist ein Punkt im Euklidischen Raum passender Dimension zugeordnet. Das Lernen basiert auf einer Menge von Punkten, für die die zugehörige Klasse bekannt ist. Eine Reduktion der Dimension sowie elementare und anspruchsvollere Methoden zur Ermittlung schnell berechenbarer Funktionen, mit denen man aus einem Punkt die zugehörige Klasse mit einer möglichst geringen Fehlerrate ableiten kann, werden hergeleitet und in einer einheitlichen Herangehensweise begründet. Die recht elementaren Beweise werden im Wesentlichen mit Mitteln der Linearen Algebra geführt, nur für die neuronalen Netze wird etwas Analysis benötigt.Die Produktfamilie WissensExpress bietet Ihnen Lehr- und Lernbücher in kompakter Form. Die Bücher liefern schnell und verständlich fundiertes Wissen.
MATLAB and Simulink in Action: Programming, Scientific Computing and Simulation
by Dingyü Xue Feng PanThe textbook is intended for teaching MATLAB language and its applications. The book is composed of three parts: MATLAB programming, scientific computing with MATLAB, and system simulation with Simulink. Since MATLAB is widely used in all fields of science and engineering, a good introduction to the language can not only help students learn how to use it to solve practical problems, but also provide them with the skills to use MATLAB independently in their later courses and research. The three parts of the book are well-balanced and tailored to the needs of engineering students, and the mathematical problems commonly encountered in engineering can be easily solved using MATLAB. This textbook is suitable for undergraduate and graduate students majoring in science and engineering.
Matrilineal Dissent: Women Writers and Jewish American Literary History
by Jessica Kirzane Rachel Rubinstein Josh Lambert Tahneer Oksman Karen Skinazi Jennifer Glaser Alex UllmanBridging literary studies and cultural history, this edited volume examines Jewish women writers’ wide-ranging contributions to American literary culture from the turn of the twentieth century to the present. Matrilineal Dissent features innovative considerations of contemporary autofiction, graphic narratives, and novels by Mizrahi writers as well as middlebrow, Progressive Era, and second-wave feminist literature. Authors discussed herein—such as Roz Chast, Erica Jong,Annie Nathan Meyer, and Adrienne Rich—challenge monolithic representations of Jewishness and gender while imagining radical alternatives. By drawing attention to the politics of these authors and their readers, texts emerge as tools and living practices rather than as ends in themselves. Collectively, contributors reframe Jewish American literary history through feminist approaches that have revolutionized the field, from intersectionality and the #MeToo movement to queer theory and disability studies. Examining both canonical and lesser-known texts, this collection invites questions about conventional understandings of Jewish American literature when we center women’s writing and acknowledge women as dominant players in Jewish cultural production.
Matthew: The Gospel of Promised Blessings
by Matthew L. SkinnerExplore the tenderness and the tensions in the teachings of Jesus. The Gospel of Matthew portrays Jesus and his message as full of tender compassion and urgent warning. This six-part exploration of an enigmatic Gospel takes readers into the themes, topics, and tensions at the heart of Matthew's story about the life and work of Jesus. Chapters focus on blessing and comfort, judgment and retribution, the meaning of discipleship, Jesus’ vision for the Church and world, conflicts and complaints, and how the Gospel of Matthew speaks to believers today. The book can be read alone or used by small groups anytime throughout the year. Components include video teaching sessions featuring Matthew Skinner and a comprehensive Leader Guide.
Matthew Leader Guide: The Gospel of Promised Blessings
by Matthew L. SkinnerExplore the tenderness and the tensions in the teachings of Jesus. The Leader Guide contains everything needed to guide a group through the six-week study, including session plans, activities, discussion questions, and multiple format options. Components include the book, Matthew: The Gospel of Promised Blessings, and video teaching sessions featuring Matthew Skinner. The Gospel of Matthew portrays Jesus and his message as full of tender compassion and urgent warning. This six-part exploration of an enigmatic Gospel takes readers into the themes, topics, and tensions at the heart of Matthew's story about the life and work of Jesus. Chapters focus on blessing and comfort, judgment and retribution, the meaning of discipleship, Jesus’ vision for the Church and world, conflicts and complaints, and how the Gospel of Matthew speaks to believers today.
Maverick Feminist: To Be Female and Black in a Country Founded upon Violence and Respectability
by Kemeshia Randle SwansonBeginning with their forced introduction to American soil, Black women have relied on maverick-like characteristics to survive. And yet, these liberating qualities have been repeatedly disparaged by the masses in favor of an elitist politics of respectability. In Maverick Feminist: To Be Female and Black in a Country Founded upon Violence and Respectability, scholar Kemeshia Randle Swanson examines the extent to which the politics of respectability diminish joy and increase sorrow throughout the lifespan of Black women. By rejecting this damaging standard in society, Black women can wholly and attentively assist in the obliteration of racist, sexist, classist, and ableist oppression. But first, they must work towards becoming self-identified, self-actualized, and self-sexualized.Bridging the gap between women in both the streets and the academy, Maverick Feminist expands the traditional understandings of activism and enlarges discussions about Black female sexuality. Swanson emphasizes sexuality’s significance to the literary and sociopolitical success of Black women of the past and in this contemporary climate. Through close readings and critical analyses of fiction, nonfiction, and popular culture, Swanson argues that #BlackGirlMagic and racial progression require rejecting respectability politics and developing an intimate appreciation of self. Maverick Feminist examines texts by and about bold Black women, including Zora Neale Hurston’s Their Eyes Were Watching God, Sister Souljah’s The Coldest Winter Ever, Brittney Cooper’s Eloquent Rage: A Black Feminist Discovers Her Superpower, Alice Walker’s The Color Purple, Sapphire’s PUSH, Roxane Gay’s Hunger: A Memoir of (My) Body, Terry McMillan’s Getting to Happy, and Michelle Obama’s Becoming.Maverick Feminist offers hope concerning the growing divide between scholars and the communities about which they theorize. The book celebrates centuries of agency and control that Black women have mustered and maintained in a world that seems to want nothing more than to see them prone and powerless. Ultimately, maverick feminism provides a freer means of living out, evaluating, understanding, and improving the lives of Black women.
Max
by Avi Duckor-JonesI want to let her know that choosing something is the entire problem. How do you choose something without feeling the undeniable loss of everything you rejected?Max is about to finish high school. On the surface it appears he has everything, but underneath he is floundering. Grappling with questions about his birth parents and his sexuality, he feels that there is a seed of badness deep within him that will inevitably be exposed.After an incident at the end-of-year party sets Max's world to crumbling, he must finally figure out who he is and where he came from - and who he is allowed to love.Max is a vivid and insightful coming-of-age novel about the ways we weave the threads of our adolescent identities into a cohesive adult self.
Max Weber’s Sociology: From "the Protestant Ethic Thesis" and the American Political Culture to a Sociology of Civilizations (Routledge Studies in Social and Political Thought)
by Stephen KalbergThis volume outlines Max Weber’s comparative-historical sociology of "interpretive understanding" (verstehen) in a manner that clarifies his complex mode of analysis and multi-causal focus. Presenting the central features of his methodology, it demonstrates the strengths of his research strategies through discussions of his major works and overarching concerns. Among other themes, this study addresses the origins of the American political culture, the longevity of its civic sphere, and the multiple causes behind the unique historical pathways followed by several civilizations. Indeed, through summaries of Weber’s procedures and their application in his own empirical studies, Max Weber’s Sociology sustains a simultaneous orientation to his "big picture" themes and his rigorous manner of analysis. It demonstrates in so doing the capacity of Weber’s sociology to ground firmly both “ideal-type” theorizing and empirically oriented investigations. This volume will appeal to scholars throughout the social sciences with interests in the American civic sphere, the West’s uniqueness, ”the Protestant ethic thesis,” the multiple ways that civilizations develop, and the diverse twists and turns of Weber’s comparative-historical sociology.
Maxine Gets a Job
by Alexandra Garyn Bryan ReisbergIn this irresistible picture book, the exceptionally adorable global sensation Maxine the Fluffy Corgi teaches your littlest reader the importance of figuring out what they love to do and doing it with their whole hearts! Maxine needs a job. Well, maybe she doesn&’t need a job, but she&’d very much like one. Her talented dog friends all have jobs, and as a talented dog herself, she should have one too . . . right? From working as a lifeguard at the beach to pulling a sled in the snow, Maxine tries (and fails at) her friends&’ jobs until she realizes the key to finding the perfect job: doing what she loves. From the humans behind one of the most famous and fluffiest corgis in the world comes a tail-wagging tale about a small but mighty dog named Maxine.