After a break-up, Reeve is on a downward spiral of being social recluse. Coaxed by his friends to try an online dating app, Reeve meets Adrianne, a single mom, who tiptoes the thin line of relationships and singlehood. Nervous of meeting Adrianne, Reeve receives dating advice from the unlikeliest of his circle, an elderly and sickly man named Fred. Surrounded by raunchy, loud and unfiltered respective group of friends, the pair undertake a path towards casual companionship and perhaps something deeper... What follows is an emotional excursion for Reeve and Adrianne, as they undergo rediscovery of oneself and finding one's resolve.

Cassia has always trusted the Society to make the right choices for her: what to read, what to watch, what to believe. So when Xander's face appears on-screen at her Matching ceremony, Cassia knows with complete certainty that he is her ideal mate . . . until she sees Ky Markham's face flash for an instant before the screen fades to black. The Society tells her it's a glitch, a rare malfunction, and that she should focus on the happy life she's destined to lead with Xander. But Cassia can't stop thinking about Ky, and as they slowly fall in love, Cassia begins to doubt the Society's infallibility and is faced with an impossible choice: between Xander and Ky, between the only life she's known and a path that no one else has dared to follow. Look for CROSSED, the sequel to MATCHED, in Fall 2011! Watch a Video

The thoroughly revised and updated Third Edition of the acclaimed Modern Epidemiology reflects both the conceptual development of this evolving science and the increasingly focal role that epidemiology plays in dealing with public health and medical problems. Coauthored by three leading epidemiologists, with sixteen additional contributors, this Third Edition is the most comprehensive and cohesive text on the principles and methods of epidemiologic research. The book covers a broad range of concepts and methods, such as basic measures of disease frequency and associations, study design, field methods, threats to validity, and assessing precision. It also covers advanced topics in data analysis such as Bayesian analysis, bias analysis, and hierarchical regression. Chapters examine specific areas of research such as disease surveillance, ecologic studies, social epidemiology, infectious disease epidemiology, genetic and molecular epidemiology, nutritional epidemiology, environmental epidemiology, reproductive epidemiology, and clinical epidemiology.

Although much has been written about innovation in the past several years, not all parts of the innovation lifecycle have been given the same treatment. This volume focuses on the important first step of arranging financing for innovation before it is made, and explores the feedback effect that innovation can have on finance itself. The book brings together a diverse group of leading scholars in order to address the financing of innovation. The chapters address three key areas, intellectual property, venture capital, and financial engineering in the capital markets, in order to provide fresh and insightful analyses of current and future economic developments in financing innovation. Chapters on intellectual property cover topics including innovation in law-making, orphan business models, and the use of intellectual property to protect financial engineering innovations and developing intellectual property regimes in Brazil, Russia, India, and China. The book also covers the tax treatment of venture capital founders, the treatment of preferred stock by the Delaware Courts, asset-backed lending hedge funds, and corporate governance for small businesses after the Dodd-Frank financial reform bill. The book will be of interest to scholars, practitioners, and students in law, innovation, finance, and business.

Introductory courses in combinatorial optimization are popular at the upper undergraduate/graduate levels in computer science, industrial engineering, and business management/OR, owed to its wide applications in these fields. There are several published textbooks that treat this course and the authors have used many of them in their own teaching experiences. This present text fills a gap and is organized with a stress on methodology and relevant content, providing a step-by-step approach for the student to become proficient in solving combinatorial optimization problems. Applications and problems are considered via recent technology developments including wireless communication, cloud computing, social networks, and machine learning, to name several, and the reader is led to the frontiers of combinatorial optimization. Each chapter presents common problems, such as minimum spanning tree, shortest path, maximum matching, network flow, set-cover, as well as key algorithms, such as greedy algorithm, dynamic programming, augmenting path, and divide-and-conquer. Historical notes, ample exercises in every chapter, strategically placed graphics, and an extensive bibliography are amongst the gems of this textbook.