Автор: Abraham Kierszenbaum, Laura Tres Название: Histology and Cell Biology: An Introduction to Pathology, 5 Ed ISBN: 032367321X ISBN-13(EAN): 9780323673211 Издательство: Elsevier Science Рейтинг: Цена: 10441.00 р. Наличие на складе: Нет в наличии.
Описание: Linking basic science to clinical application throughout, Histology and Cell Biology: An Introduction to Pathology, 5th Edition, helps students build a stronger clinical knowledge base in the challenging area of pathologic abnormalities. This award-winning text presents key concepts in an understandable, easy-to-understand manner, with full-color illustrations, diagrams, photomicrographs, and pathology photos fully integrated on every page. Student-friendly features such as highlighted clinical terms, Clinical Conditions boxes, Essential Concepts boxes, concept mapping animations, and more help readers quickly grasp complex information.
Features new content on cancer immunotherapy, satellite cells and muscle repair, vasculogenesis and angiogenesis in relation to cancer treatment, and mitochondria replacement therapies. Presents new material on ciliogenesis, microtubule assembly and disassembly, chromatin structure and condensation, and X chromosome inactivation, which directly impact therapy for ciliopathies, infertility, cancer, and Alzheimer's disease. Provides thoroughly updated information on gestational trophoblastic diseases, molecular aspects of breast cancer, and basic immunology, including new illustrations on the structure of the T-cell receptor, CD4+ cells subtypes and functions, and the structure of the human spleen.
Uses a new, light green background throughout the text to identify essential concepts of histology - a feature requested by both students and instructors to quickly locate which concepts are most important for beginning learners or when time is limited. These essential concepts are followed by more detailed information on cell biology and pathology. Contains new Primers in most chapters that provide a practical, self-contained integration of histology, cell biology, and pathology - perfect for clarifying the relationship between basic and clinical sciences.
Identifies clinical terms throughout the text and lists all clinical boxes in the table of contents for quick reference. Helps students understand the links between chapter concepts with concept mapping animations on Student ConsultT - an outstanding supplement to in-class instruction. Student ConsultT eBook version included with purchase.
This enhanced eBook experience allows you to search all of the text, figures, and references from the book on a variety of devices.
Автор: Grahame, Kenneth Название: Wind in the Willows HB ISBN: 0744575532 ISBN-13(EAN): 9780744575538 Издательство: Walker Books Рейтинг: Цена: 3713.00 р. Наличие на складе: Заказано в издательстве.
Описание: In a beautiful single volume, Inga Moore`s magical illustrations bring Kenneth Grahame`s much-loved classic to life for a new generation of readers.
Автор: Kress, Adrienne Название: Lost ones (bendy and the ink machine, book 2) ISBN: 1338572210 ISBN-13(EAN): 9781338572216 Издательство: Scholastic Рейтинг: Цена: 1527.00 р. Наличие на складе: Есть (2 шт.) Описание: A twisted tale from the world of the hit horror video game, Bendyand the Ink Machine!
Автор: Ibn Khaldun Название: The Muqaddimah: An Introduction to History ISBN: 0691166285 ISBN-13(EAN): 9780691166285 Издательство: Wiley Рейтинг: Цена: 3168.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The Muqaddimah, often translated as "Introduction" or "Prolegomenon," is the most important Islamic history of the premodern world. Written by the great fourteenth-century Arab scholar Ibn Khaldun (d. 1406), this monumental work established the foundations of several fields of knowledge, including the philosophy of history, sociology, ethnography,
Автор: Trevor Hastie; Robert Tibshirani; Jerome Friedman Название: The Elements of Statistical Learning ISBN: 0387848576 ISBN-13(EAN): 9780387848570 Издательство: Springer Рейтинг: Цена: 10061.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This major new edition features many topics not covered in the original, including graphical models, random forests, and ensemble methods. As before, it covers the conceptual framework for statistical data in our rapidly expanding computerized world.
Описание: Enthusiastically acclaimed by medical students and faculty worldwide, this text is specifically designed to prepare students for their first encounters with patients with cardiovascular disease. Thoroughly revised by internationally recognized Harvard Medical School faculty and a team of select cardiology fellows and internal medicine residents, this seventh edition equips students with a clear, complete, and clinically relevant understanding of cardiovascular pathophysiology, setting a strong foundation for patient diagnosis and management. New seventh edition highlights:Review questions and answers in each chapter prepare students for course and board exams.
New contributors include cardiology fellows and internal medicine residents, who worked closely with faculty to extend coverage of clinically pertinent issues for medical students. Updated content reflects the latest understanding of mechanisms of cardiac disease and technological advances. Classic student-friendly features:Full-color illustrations help readers visualize and quickly grasp key concepts.
Medical imaging and color clinical photographs show real-world examples of many clinically relevant cardiovascular conditions. Introductory chapter outlines and end-of-chapter summaries provide organized, quick review of core information. Bonus online study tools:Animations help support understanding of complex, dynamic disease processes.
Interactive question bank reinforces learning and improves retention.
Автор: Marc Peter Deisenroth, A. Aldo Faisal, Cheng Soon Ong Название: Mathematics for Machine Learning ISBN: 110845514X ISBN-13(EAN): 9781108455145 Издательство: Cambridge Academ Рейтинг: Цена: 6334.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This self-contained textbook introduces all the relevant mathematical concepts needed to understand and use machine learning methods, with a minimum of prerequisites. Topics include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics.
Автор: James, Gareth Witten, Daniela Hastie, Trevor Tibsh Название: Introduction to statistical learning ISBN: 1071614177 ISBN-13(EAN): 9781071614174 Издательство: Springer Рейтинг: Цена: 7317.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, deep learning, survival analysis, multiple testing, and more.
Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers.
An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.
This Second Edition features new chapters on deep learning, survival analysis, and multiple testing, as well as expanded treatments of naive Bayes, generalized linear models, Bayesian additive regression trees, and matrix completion. R code has been updated throughout to ensure compatibility.
Автор: Yuniya Kawamura Название: Doing Research in Fashion and Dress: An Introduction to Qualitative Methods ISBN: 1350089761 ISBN-13(EAN): 9781350089761 Издательство: Bloomsbury Academic Рейтинг: Цена: 10118.00 р. 14454.00-30% Наличие на складе: Есть (1 шт.) Описание: Whether you’re investigating fashion as a material object, an abstract idea, a social phenomenon, or a commercial system, qualitative techniques can further your understanding of almost any research topic. Doing Research in Fashion and Dress begins by guiding you through a brief history of fashion studies, and the debates surrounding it, before introducing key qualitative methodological approaches, including ethnography, semiology, and object-based research. Detailed case studies demonstrate how each methodology is used in practice. These case studies include Japanese subcultures, fashion photography blogs and semiotic studies of fashion magazine shoots and advertisements. This second edition also features a new chapter on internet sources and online ethnography, reflecting the adoption of social media tools not only by industry practitioners but also by academics.By contextualizing history, theory and practice Doing Research in Fashion and Dress offers:-A systematic examination of qualitative research methods in fashion studies in social sciences. -A practical guide for anyone wishing to conduct fashion research in academia or in the business world.-An accessible grounding in contemporary fashion studies literature.
Описание: Letter Jam is a 2-6 player cooperative word game where players assist each other in composing meaningful words from letters around the table. The trick is holding the letter card so that it`s only visible to other players and not to you.At the start of the game, each player receives a set of face-down letter cards that can be arranged to form an existing word. The setup can be prepared by using a special card scanning app, or by players selecting words for each other. Each player then puts their first card in their stand facing the other players without looking at it, and the game begins.The game is played in turns. Each turn, players simultaneously search other players` letters to see what words they can spell out (telling the others the length of the word they can make up). The player who offers the longest word can then be chosen as the clue giver.The clue giver spells out their clue by putting numbered tokens in front of the other players. Number one goes to the player whose letter comes first in the clue, number two to the second letter etc. They can always use a wild card which can be any letter, but they cannot tell others which letter it represents.Each player with a numbered token (or tokens) in front of them then tries to figure out what their letter is. If they do, they place the card face down before revealing the next letter. At the end of the game, players can then rearrange the cards to try to form an existing word. All players then reveal their cards to see if they were successful or not. The more players who have an existing word in front of them, the bigger their common success.
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