A Companion to Persius and Juvenal breaks new ground in its in-depth focus on both authors as «satiric successors»; detailed individual contributions suggest original perspectives on their work, and provide an in-depth exploration of Persius' and Juvenal's afterlives. Provides detailed and up-to-date guidance on the texts and contexts of Persius and Juvenal Offers substantial discussion of the reception of both authors, reflecting some of the most innovative work being done in contemporary Classics Contains a thorough exploration of Persius' and Juvenal's afterlives
Can you adapt to the wide variety of learning environments in medicine? Can you show your best abilities in the exams at the same time as learning to be a doctor? Can you balance your studies with an enjoyable social life? Can you develop your professionalism and manage your 'digital footprint'? How to Succeed at Medical School will help you learn these vital skills, and much more. Written by experienced medical school teachers and packed full of case studies, illustrations, quotes from other students, tip boxes, exercises, portfolios and learning techniques to help you communicate, study and revise – it’s an essential resource to help you thrive at medical school. This thoroughly updated second edition includes new chapters on Professionalism and Teaching, and provides invaluable insight into what to expect from the start of medical school right through to the start of your medical career.
Praise for the previous edition «An extraordinary and important book. Its approach to evidence-based practice (EBP) is very sound, realistic, and generous to the complexities of everyday practice. Reading and using this book is a must.» —Haluk Soydan, PhD, School of Social Work, University of Southern California «This book has the potential to change practice in the helping professions. Rather than focusing on how to conduct research, Practitioner's Guide to Using Research for Evidence-Based Practice instead shows readers how to understand the literature.... [The] generous use of humor and the inclusion of simple, practice-relevant examples make this book a pleasure to read.» —Aron Shlonsky, PhD, Faculty of Social Work, University of Toronto «I particularly like the integration of research methods and EBP; this is the book's major innovation in my mind as it allows readers to see the connections between research and practice. [The book] also succeeds by taking very complex EBP principles and explaining them in practical terms.» —Jeffrey M. Jenson, PhD, Graduate School of Social Work, University of Denver Hands-on guidance for research-informed practice and practice-informed research Now in a second edition, Practitioner's Guide to Using Research for Evidence-Based Practice offers a clinician-oriented approach to appraising and using research as part of the EBP process. This accessible guide presents essential and practical guidance on how to integrate research appraisal into EBP endeavors to determine which interventions, policies, and assessment tools are supported by the best evidence. It introduces: Increased attention to macro-level EBP questions and studies New discussion on defining EBP, including the addition of a transdisciplinary model of EBP More detailed guidance on EBP question formulation and conducting Internet searches, including the PICO framework New content on multivariate designs, including propensity score matching, and on mixed-model and mixed-methods studies
This book describes, with references to key source materials, the background to, and conduct of, the principal nonclinical studies that are central to drug development. The chapters provide an understanding of the key components of the preclinical phase of drug development with a hands-on description, with core chapters addressing study conduct, types, and reporting. As such, it is a practical guide through toxicology testing and an up-to-date reference on current issues, new developments, and future directions in toxicology. Opening with a practical description of toxicology and its role in the development of pharmaceuticals, the book proceeds to detail international regulations (including the impact of the new REACH standards for chemical safety), interdisciplinary interactions among scientists in drug development, steps in toxicity testing, and risk management. Further, the book covers the methods of genetic toxicology (assays, genomics, in vivo screening) as a complement to “traditional” toxicology in the risk assessment and risk management of pharmaceuticals.
An all-inclusive guide on the analytical methods of Raman, infrared, and near-infrared chemical imaging An underutilized technology, chemical imaging through Raman, infrared (IR), and near-infrared (NIR) is beginning to gain recognition for its non-destructive method of permitting visualization of spatially resolved chemical information. This type of analysis is triggering a groundswell of demand as manufactured materials become more complex and the need for greater scrutiny and less damaging research practices is at a premium. Concentrating on the applications of chemical imaging, this book presents a thorough background on the theory, software, and hardware employed in this analytical technique. With full examination of this rapidly growing field, this book: Combines many different aspects and applications into one comprehensive volume Discusses how chemical imaging techniques have expanded greatly in terms of instruments and applications, but have lagged in general awareness among scientists and industries that would benefit the most from them Describes chemical imaging uses in key areas—biomedical, pharmaceutical, food, and polymer research Has chapters that outline hardware and instrumentation for the different methods of chemical imaging Encapsulating analytic methods without complicating the subject matter, this book shows where chemical imaging has been successfully applied, inspiring researchers to cultivate the exciting capabilities rooted within this powerful and multifaceted technology.
This book provides clear instructions to researchers on how to apply Structural Equation Models (SEMs) for analyzing the inter relationships between observed and latent variables. Basic and Advanced Bayesian Structural Equation Modeling introduces basic and advanced SEMs for analyzing various kinds of complex data, such as ordered and unordered categorical data, multilevel data, mixture data, longitudinal data, highly non-normal data, as well as some of their combinations. In addition, Bayesian semiparametric SEMs to capture the true distribution of explanatory latent variables are introduced, whilst SEM with a nonparametric structural equation to assess unspecified functional relationships among latent variables are also explored. Statistical methodologies are developed using the Bayesian approach giving reliable results for small samples and allowing the use of prior information leading to better statistical results. Estimates of the parameters and model comparison statistics are obtained via powerful Markov Chain Monte Carlo methods in statistical computing. Introduces the Bayesian approach to SEMs, including discussion on the selection of prior distributions, and data augmentation. Demonstrates how to utilize the recent powerful tools in statistical computing including, but not limited to, the Gibbs sampler, the Metropolis-Hasting algorithm, and path sampling for producing various statistical results such as Bayesian estimates and Bayesian model comparison statistics in the analysis of basic and advanced SEMs. Discusses the Bayes factor, Deviance Information Criterion (DIC), and $L_\nu$-measure for Bayesian model comparison. Introduces a number of important generalizations of SEMs, including multilevel and mixture SEMs, latent curve models and longitudinal SEMs, semiparametric SEMs and those with various types of discrete data, and nonparametric structural equations. Illustrates how to use the freely available software WinBUGS to produce the results. Provides numerous real examples for illustrating the theoretical concepts and computational procedures that are presented throughout the book. Researchers and advanced level students in statistics, biostatistics, public health, business, education, psychology and social science will benefit from this book.
Sheds new light on intrinsically disordered proteins and peptides, including their role in neurodegenerative diseases With the discovery of intrinsically disordered proteins and peptides (IDPs), researchers realized that proteins do not necessarily adopt a well defined secondary and tertiary structure in order to perform biological functions. In fact, IDPs play biologically relevant roles, acting as inhibitors, scavengers, and even facilitating DNA/RNA-protein interactions. Due to their propensity for self-aggregation and fibril formation, some IDPs are involved in neurodegenerative diseases such as Parkinson's and Alzheimer's. With contributions from leading researchers, this text reviews the most recent studies, encapsulating our understanding of IDPs. The authors explain how the growing body of IDP research is building our knowledge of the folding process, the binding of ligands to receptor molecules, and peptide self-aggregation. Readers will discover a variety of experimental, theoretical, and computational approaches used to better understand the properties and function of IDPs. Moreover, they'll discover the role of IDPs in human disease and as drug targets. Protein and Peptide Folding, Misfolding, and Non-Folding begins with an introduction that explains why research on IDPs has significantly expanded in the past few years. Next, the book is divided into three sections: Conformational Analysis of Unfolded States Disordered Peptides and Molecular Recognition Aggregation of Disordered Peptides Throughout the book, detailed figures help readers understand the structure, properties, and function of IDPs. References at the end of each chapter serve as a gateway to the growing body of literature in the field. With the publication of Protein and Peptide Folding, Misfolding, and Non-Folding, researchers now have a single place to discover IDPs, their diverse biological functions, and the many disciplines that have contributed to our evolving understanding of them.
The only book to present the synergy between modeling and simulation, systems engineering, and agent technologies expands the notion of agent-based simulation to also deal with agent simulation and agent-supported simulation. Accessible to both practitioners and managers, it systematically addresses designing and building agent systems from a systems engineering perspective.
Urban transport systems need to be analyzed from various perspectives: the offer on one hand, the demand on the other hand, but also their negative externalities (risks of transport systems). These three dimensions are rarely apprehended in an integrated perspective. This book provides a large collection of chapters dealing with these specific dimensions, each written by recognized specialists in their domain, and articulates them in an integrated way.
A complete discussion of MIMO communications, from theory to real-world applications The emerging wireless technology Wideband Multiple-Input, Multiple-Output (MIMO) holds the promise of greater bandwidth efficiency and wireless link reliability. This technology is just now being implemented into hardware and working its way into wireless standards such as the ubiquitous 802.11g, as well as third- and fourth-generation cellular standards. Multiple-Input Multiple-Output Channel Models uniquely brings together the theoretical and practical aspects of MIMO communications, revealing how these systems use their multipath diversity to increase channel capacity. It gives the reader a clear understanding of the underlying propagation mechanisms in the wideband MIMO channel, which is fundamental to the development of communication algorithms, signaling strategies, and transceiver design for MIMO systems. MIMO channel models are important tools in understanding the potential gains of a MIMO system. This book discusses two types of wideband MIMO models in detail: correlative channel models—specifically the Kronecker, Weichselberger, and structured models—and cluster models, including Saleh-Valenzuela, European Cooperation in the field of Scientific and Technical Research (COST) 273, and Random Cluster models. From simple to complex, the reader will understand the models' mechanisms and the reasons behind the parameters. Next, channel sounding is explained in detail, presenting the theory behind a few channel sounding techniques used to sound narrowband and wideband channels. The technique of digital matched filtering is then examined and, using real-life data, is shown to provide very accurate estimates of channel gains. The book concludes with a performance analysis of the structured and Kronecker models. Multiple-Input Multiple-Output Channel Models is the first book to apply tensor calculus to the problem of wideband MIMO channel modeling. Each chapter features a list of important references, including core literary references, Matlab implementations of key models, and the location of databases that can be used to help in the development of new models or communication algorithms. Engineers who are working in the development of telecommunications systems will find this resource invaluable, as will researchers and students at the graduate or post-graduate level.