BETTY & VERONICA: WHAT IF is classic B&V at their finest - loaded with friendship and fun. Featuring the timeless, classic Archie style known across the world for its family-friendly stories and rich history. Betty and Veronica stories are back with this collection of tales that see the two iconic BFFs tackle the fantastical, supernatural, dangerous and everything in-between!
Strengthen programs of family and community engagement to promote equity and increase student success! When schools, families, and communities collaborate and share responsibility for students′ education, more students succeed in school. Based on 30 years of research and fieldwork, the fourth edition of the bestseller School, Family, and Community Partnerships: Your Handbook for Action, presents tools and guidelines to help develop more effective and more equitable programs of family and community engagement. Written by a team of well-known experts, it provides a theory and framework of six types of involvement for action; up-to-date research on school, family, and community collaboration; and new materials for professional development and on-going technical assistance. Readers also will find: Examples of best practices on the six types of involvement from preschools, and elementary, middle, and high schools Checklists, templates, and evaluations to plan goal-linked partnership programs and assess progress CD-ROM with slides and notes for two presentations: A new awareness session to orient colleagues on the major components of a research-based partnership program, and a full One-Day Team Training Workshop to prepare school teams to develop their partnership programs. As a foundational text, this handbook demonstrates a proven approach to implement and sustain inclusive, goal-linked programs of partnership. It shows how a good partnership program is an essential component of good school organization and school improvement for student success. This book will help every district and all schools strengthen and continually improve their programs of family and community engagement.
The essential introduction to the principles and applications of feedback systems—now fully revised and expanded This textbook covers the mathematics needed to model, analyze, and design feedback systems. Now more user-friendly than ever, this revised and expanded edition of Feedback Systems is a one-volume resource for students and researchers in mathematics and engineering. It has applications across a range of disciplines that utilize feedback in physical, biological, information, and economic systems. Karl Åström and Richard Murray use techniques from physics, computer science, and operations research to introduce control-oriented modeling. They begin with state space tools for analysis and design, including stability of solutions, Lyapunov functions, reachability, state feedback observability, and estimators. The matrix exponential plays a central role in the analysis of linear control systems, allowing a concise development of many of the key concepts for this class of models. Åström and Murray then develop and explain tools in the frequency domain, including transfer functions, Nyquist analysis, PID control, frequency domain design, and robustness. Features a new chapter on design principles and tools, illustrating the types of problems that can be solved using feedback Includes a new chapter on fundamental limits and new material on the Routh-Hurwitz criterion and root locus plots Provides exercises at the end of every chapter Comes with an electronic solutions manual An ideal textbook for undergraduate and graduate students Indispensable for researchers seeking a self-contained resource on control theory
The “essential” companion to the landmark Users' Guides to the Medical Literature - completely revised and updated! 5 STAR DOODY'S REVIEW! "This second edition is even better than the original. Information is easier to find and the additional resources that will be available at www.JAMAevidence.com will provide readers with a one-stop source for evidence-based medicine."--Doody's Review Service Evidence-based medicine involves the careful interpretation of medical studies and its clinical application. And no resource helps you do it better-and faster-than Users' Guides to the Medical Literature: Essentials of Evidence-Based Clinical Practice. This streamlined reference distills the most clinically-relevant coverage from the parent Users' Guide Manual into one highly-focused, portable resource. Praised for its clear explanations of detailed statistical and mathematical principles, The Essentials concisely covers all the basic concepts of evidence-based medicine--everything you need to deliver optimal patient care. It's a perfect at-a-glance source for busy clinicians and students, helping you distinguish between solid medical evidence and poor medical evidence, tailor evidence-based medicine for each patient, and much more. Now in its second edition, this carry-along quick reference is more clinically relevant--and more essential--than ever! FEATURES Completely revised and updated with all new coverage of the basic issues in evidence-based medicine in patient care Abundant real-world examples drawn from the medical literature are woven throughout, and include important related principles and pitfalls in using clinical research in patient care decisions Edited by over 60 internationally recognized editors and contributors from around the globe Also look for JAMAevidence.com, a new interactive database for the best practice of evidence based medicine.
Archie decides to give an impressionable new freshman and his group of friends a personal tour of Riverdale High in an attempt to change his view of upperclassmen. Will Archie succeed in showing them that high school life isn’t as crazy as movies make it out to be—or will he end up getting them into some sophomore-level trouble? Find out in “The Freshman’s Guide to Riverdale High,” the fun, new lead story to this comics annual, featuring even more pages of back to school shenanigans!
Written by the creators of the popular website, this rigorously fact-checked, accessible, and fully illustrated guide is essential for anyone with a pussy. If the clitoris and penis are the same size on average, why is the word “small” in the definition of clitoris but strangely missing from the definition of penis? Sex probably doesn't cause yeast infections? But racism probably does cause BV? Why is masturbating so awesome? How hairy are butt cracks . . . generally? Why is labiaplasty on a global astronomical rise? Does egg freezing really work? Should I stick an egg-shaped rock up there or nah? There is still a shocking lack of accurate, accessible information about pussies and many esteemed medical sources seem to contradict each other. Pussypedia solves that with extensive reviews of peer-reviewed science that address old myths, confusing inconsistencies, and the influence of gender narratives on scientific research––always in simple, joyful language. Through over 30 chapters, Pussypedia not only gives the reader information, but teaches them how to read science, how to consider information in its context, and how to accept what we don't know rather than search for conclusions. It also weaves in personal anecdotes from the authors and their friends––sometimes funny, sometimes sad, often cringe-worthy, and always extremely personal––to do away with shame and encourage curiosity, exploration, and agency. A gift for your shy niece, your angsty teenager, your confused boyfriend, or yourself. Our generation's Our Bodies, Ourselves, with a healthy dose of fun.
This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and analysis of large networks. Topics include the counterintuitive nature of data in high dimensions, important linear algebraic techniques such as singular value decomposition, the theory of random walks and Markov chains, the fundamentals of and important algorithms for machine learning, algorithms and analysis for clustering, probabilistic models for large networks, representation learning including topic modelling and non-negative matrix factorization, wavelets and compressed sensing. Important probabilistic techniques are developed including the law of large numbers, tail inequalities, analysis of random projections, generalization guarantees in machine learning, and moment methods for analysis of phase transitions in large random graphs. Additionally, important structural and complexity measures are discussed such as matrix norms and VC-dimension. This book is suitable for both undergraduate and graduate courses in the design and analysis of algorithms for data.
