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Muscle Boys - Erick Alvarez - Bog - Taylor & Francis Inc - Plusbog.dk

Muscle Boys - Erick Alvarez - Bog - Taylor & Francis Inc - Plusbog.dk

What was once a lifestyle for a small number of gay men in big cities has become a way of life for many, and the gay gym is now a culture on its own. Muscle Boys: Gay Gym Culture explores the evolution and current structure of this gay subculture that surfaced in San Francisco, West Hollywood, and New York during the 1970s. Covering ancient Greek gymnasium culture, modern bodybuilding practices, and homoerotic muscle-bound media, Muscles Boys examines the origins of the male athletic ideal. A sociological investigation on masculinity, fitness, HIV, steroids, and sex in the locker room, Muscle Boys dissects the gay gym experience, and celebrates gay body culture and its role in modern gay life. Author Erick Alvarez offers a candid study of the gay gym from his perspective as a physical trainer in the San Francisco Bay area, and from his interviews and online surveys of nearly 6,000 gay men. Muscle Boys: Gay Gym Culture is an enlightening read for anyone interested in gay body culture, and a valuable resource for academics working in GLBT studies, human sexuality, psychology, or athletics.

DKK 429.00
3

Evolutionary Multi-Objective System Design - Theory and Applications - Bog - Hardback

Evolutionary Multi-Objective System Design - Theory and Applications - Bog - Hardback

Evolutionary multi-objective optimization (EMO) has emerged as a sub-discipline of multi-objective optimization, combining the fields of evolutionary computation and classical multiple criteria decision making. This field has applications in artificial intelligence, machine learning, and data mining. This book will present new trends, methods, algorithms, and applications in EMO for system design, featuring contributions from leading experts.

DKK 1587.95
2

Quick Service Restaurants, Franchising, and Multi-Unit Chain Management - H.g. Parsa - Bog - Taylor & Francis Inc - Plusbog.dk

Quick Service Restaurants, Franchising, and Multi-Unit Chain Management - H.g. Parsa - Bog - Taylor & Francis Inc - Plusbog.dk

Learn about new strategies to improve service, quality, and profitability for quick service restaurants! Quick Service Restaurants, Franchising, and Multi-Unit Chain Management examines a variety of issues pertaining to quick service restaurants. Quick-service restaurants (QSR) are the dominant sector of the foodservice industry and a one-hundred-billion-dollar industry. Since their inception in the 1920s, quick-service restaurants have become one of the cultural icons of America. This informative book contains vital information on: - - growth, change and strategy in the international foodservice industry - - food safety as an international problem and the formation of outreach committees to combat the challenges faced globally - - food consumption patterns and the driving forces that influence consumer food preferences - - the differences between mature and younger customers’ expectations and experiences in QSRs, casual, and fine dining restaurants - - consumer attitudes toward airline food - - adding quick-service meals to airplane menus - - factors influencing parental patronage of QSRs - - a case study on how Billy Ingram, founder of White Castle restaurants, made the hamburger a staple on American menus

DKK 737.00
3

Multi-Label Dimensionality Reduction - Jieping (arizona State University Ye - Bog - Taylor & Francis Inc - Plusbog.dk

Multi-Label Dimensionality Reduction - Jieping (arizona State University Ye - Bog - Taylor & Francis Inc - Plusbog.dk

Similar to other data mining and machine learning tasks, multi-label learning suffers from dimensionality. An effective way to mitigate this problem is through dimensionality reduction, which extracts a small number of features by removing irrelevant, redundant, and noisy information. The data mining and machine learning literature currently lacks a unified treatment of multi-label dimensionality reduction that incorporates both algorithmic developments and applications. Addressing this shortfall, Multi-Label Dimensionality Reduction covers the methodological developments, theoretical properties, computational aspects, and applications of many multi-label dimensionality reduction algorithms. It explores numerous research questions, including: - - How to fully exploit label correlations for effective dimensionality reduction - How to scale dimensionality reduction algorithms to large-scale problems - How to effectively combine dimensionality reduction with classification - How to derive sparse dimensionality reduction algorithms to enhance model interpretability - How to perform multi-label dimensionality reduction effectively in practical applications - The authors emphasize their extensive work on dimensionality reduction for multi-label learning. Using a case study of Drosophila gene expression pattern image annotation, they demonstrate how to apply multi-label dimensionality reduction algorithms to solve real-world problems. A supplementary website provides a MATLAB ® package for implementing popular dimensionality reduction algorithms.

DKK 993.00
3

Multi-Systemic Structural-Strategic Interventions for Child and Adolescent Behavior Problems - Patrick H Tolan - Bog - Taylor & Francis Inc -

Multi-Systemic Structural-Strategic Interventions for Child and Adolescent Behavior Problems - Patrick H Tolan - Bog - Taylor & Francis Inc -

Learn to tackle he very challenging behavior problems of children and adolescents that you commonly see in your family therapy practice. This practical book provides the practicing clinician with an overview of structural-strategic approaches for treating child and adolescent behavior problems. It is unique in specifying successful approaches for a range of behavior problems, with all approaches based on the same concept--the Structural-Strategic model of family therapy. Behavior problems are the most common reason for referral of children and adolescents for therapy. In addition, behavior problems are major impediments to educational progress and full benefit from medical care. Multi-Systemic Structural-Strategic Interventions for Child and Adolescent Behavior Problems focuses on the major types of behavior problems: antisocial and delinquent behavior, drug abuse, eating disorders, sex-related problems, school behavioral problems, and problems with compliance with pediatric medical care. Chapters by Editor Patrick H. Tolan and an impressive group of contributing authors will expand your knowledge and the utility of structural-strategic family therapy by emphasizing the role of responsibility and accountability of family members. This volume is the first to use this view to specifically address the treatment of a variety of behavior problems. Techniques for applying structural-strategic approaches in working with other systems, including schools, are also presented. Aimed at the practicing clinician, especially those who consider themselves primarily family therapists, Multi-Systemic Structural-Strategic Interventions for Child and Adolescent Behavior Problems is of interest to any professional treating children and adolescents. A useful text for trainers of interns and residents and faculty of independent family therapy training programs, this major book is also an important addition to specialized courses in family therapy, child therapy, and SS therapy, and graduate courses in social work, psychology, and nursing programs.

DKK 625.00
3

Multi-State Survival Models for Interval-Censored Data - Ardo Van Den Hout - Bog - Taylor & Francis Inc - Plusbog.dk

Multi-State Survival Models for Interval-Censored Data - Ardo Van Den Hout - Bog - Taylor & Francis Inc - Plusbog.dk

Multi-State Survival Models for Interval-Censored Data introduces methods to describe stochastic processes that consist of transitions between states over time. It is targeted at researchers in medical statistics, epidemiology, demography, and social statistics. One of the applications in the book is a three-state process for dementia and survival in the older population. This process is described by an illness-death model with a dementia-free state, a dementia state, and a dead state. Statistical modelling of a multi-state process can investigate potential associations between the risk of moving to the next state and variables such as age, gender, or education. A model can also be used to predict the multi-state process. The methods are for longitudinal data subject to interval censoring. Depending on the definition of a state, it is possible that the time of the transition into a state is not observed exactly. However, when longitudinal data are available the transition time may be known to lie in the time interval defined by two successive observations. Such an interval-censored observation scheme can be taken into account in the statistical inference. Multi-state modelling is an elegant combination of statistical inference and the theory of stochastic processes. Multi-State Survival Models for Interval-Censored Data shows that the statistical modelling is versatile and allows for a wide range of applications.

DKK 920.00
3