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This book presents a set of compelling essays collectively making a persuasive case for why a usage-based perspective on language is fast becoming a leading theoretical framework for investigating second language (L2) learning and the foundation for effective, innovative, engaging pedagogy. Drawing on 20 years of research in psychology, psycholinguistics, cognitive science, and linguistic theory, including discourse analytic approaches, the combined contributions paint a picture of theoretically-informed L2 pedagogy which emphasizes all facets of language as meaningful, embodied, and socially situated. The introduction and conclusion offer an outline of five foundational tenets essential to a usage-inspired pedagogy and a heuristic for developing usage-inspired L2 research and pedagogy. Each essay provides a unique vantage on usage-inspired L2 instruction and a demonstration of the efficacy of usage-based pedagogy. This volume will be invaluable for SLA researchers, graduate students, and classroom teachers interested in exploring usage-inspired L2 pedagogy.
French for Reading and Translation is a comprehensive introduction to French grammar and vocabulary for those who want to learn to read and understand French, either to conduct academic research or to experience French literature in its original form. Rather than explaining every grammatical concept in tedious detail, the book gives easy-to-follow explanations followed by abundant examples and opportunities to see the language in use. It encourages readers to learn vocabulary by showing them how to break it down and how to recognize related words. It gives learners the opportunity to use various reading strategies as they apply this newfound knowledge to the French passages provided. An engaging guide that will help readers decode the intricacies of the French language, this is an ideal resource for graduate students and researchers consulting French sources.
Molecular Targeted Radiosensitizers: Opportunities and Challenges provides the reader with a comprehensive review of key pre-clinical research components required to identify effective radiosensitizing drugs. The book features discussions on the mechanisms and markers of clinical radioresistance, pre-clinical screening of targeted radiosensitizers, 3D radiation biology for studying radiosensitizers, in vivo determinations of local tumor control, genetically engineered mouse models for studying radiosensitizers, targeting the DNA damage response for radiosensitization, targeting tumor metabolism to overcome radioresistance, radiosensitizers in the era of immuno-oncology, and more. Additionall...
This volume focuses on the computational modeling of cell signaling networks and the application of these models and model-based analysis to systems and personalized medicine. Chapters guide readers through various modeling approaches for signaling networks, new methods and techniques that facilitate model development and analysis, and new applications of signaling network modeling towards systems and personalized treatment of cancer. Written in the format of the highly successful Methods in Molecular Biology series, each chapter includes an introduction to the topic, lists necessary materials and methods, includes tips on troubleshooting and known pitfalls, and step-by-step, readily reproducible protocols. Authoritative and cutting-edge, Computational Modeling of Signaling Networks aims to benefit a wide spectrum of readers including researchers from the biological as well as computational systems biology communities.
This book concisely describes the role of omics in precision medicine for cancer therapies. It outlines our current understanding of cancer genomics, shares insights into the process of oncogenesis, and discusses emerging technologies and clinical applications of cancer genomics in prognosis and precision-medicine treatment strategies. It then elaborates on recent advances concerning transcriptomics and translational genomics in cancer diagnosis, clinical applications, and personalized medicine in oncology. Importantly, it also explains the importance of high-performance analytics, predictive modeling, and system biology in cancer research. Lastly, the book discusses current and potential future applications of pharmacogenomics in clinical cancer therapy and cancer drug development.