This book sets out the foundations of post-Keynesian price theory. Blending theory and analysis it is the first comprehensive assessment of post-Keynesian price theory and its foundations. Scholars and students will particularly welcome the emphasis on the non-neoclassical and non-equilibrium nature of post-Keynesian price theory.
Risk Management in the Behavioral Health Professions is a comprehensive handbook for mental health and social service providers on prevention of malpractice lawsuits and licensing-board complaints. Frederic G. Reamer draws on his extensive firsthand experience as an expert witness in litigation and licensing-board cases throughout the United States to give readers an insider’s view of practical risk-management strategies. He provides in-depth discussion of common risk areas and steps practitioners can take to protect clients and themselves. Key topics include confidentiality and privileged communication; service delivery, including informed consent, assessment, boundary issues, suicide risk management, and use of technology; impaired practitioners; supervision and consultation; documentation; deception and fraud; and interruption and termination of services. Reamer offers pragmatic advice about how to respond to a lawsuit or licensing-board complaint. He emphasizes the challenges and risks related to remote service provision, especially during public health crises and pandemics. The book includes sample risk-management forms and templates as well as extensive case examples that illustrate fundamental risk-management concepts. Designed for behavioral health professionals including social workers, psychologists, mental health counselors, marriage and family therapists, psychiatrists, and substance use disorder treatment counselors, this book is an indispensable resource on how to navigate challenging ethics and risk-management issues.
Compatible with the American Heart Association guidelines, The Carbohydrate Addicts Healthy Heart Program is a carb-smart plan designed to correct the cause of your carbohydrate cravings and weight gain while cutting your risk for high blood pressure, high blood fat levels, adult-onset diabetes, and heart disease--without sacrifice and without deprivation! WITNESS THE AMAZING RESULTS FROM THE CARBOHYDRATE ADDICT'S HEALTHY HEART PROGRAM DR. RACHAEL F. HELLER [show before and after photos of Dr. Heller] BEFORE AFTER BLOOD PRESSURE: 220/120 110/70 TOTAL CHOLESTEROL: 250 178 TRIGLYCERIDES: 385 98 BLOOD SUGAR: DIABETIC NORMAL WEIGHT: 300+ lbs. 138 lbs. HEART RISK RATIO: HIGH RISK LOW RISK Are you a carbohydrate addict at risk for heart disease? Take this quiz and find out. 1. After eating breakfast, are you hungry before lunchtime? 2. Do you get tired in the middle of the afternoon and find that a snack makes you feel better? 3. Do you eat or snack when you're really not hungry? 4. Once you start eating snack foods or sweets, is it hard to stop? 5. Does stress, exhaustion, loneliness, or boredom make you want to eat? 6. Have you been told that you're overweight or have high blood pressure or adult-onset diabetes? Or do any of these disorders run in your family? SCORING: COUNT YOUR "YES" ANSWERS: 0-1 PROBABLY NOT CARBOHYDRATE ADDICTED 2-4 MILD OR MODERATE CARBOHYDRATE ADDICTION 5-6 SEVERELY CARBOHYDRATE ADDICTED
The purpose of this book is to offer an overview of the most popular domain decomposition methods for partial differential equations (PDEs). These methods are widely used for numerical simulations in solid mechanics, electromagnetism, flow in porous media, etc., on parallel machines from tens to hundreds of thousands of cores. The appealing feature of domain decomposition methods is that, contrary to direct methods, they are naturally parallel. The authors focus on parallel linear solvers. The authors present all popular algorithms, both at the PDE level and at the discrete level in terms of matrices, along with systematic scripts for sequential implementation in a free open-source finite element package as well as some parallel scripts. Also included is a new coarse space construction (two-level method) that adapts to highly heterogeneous problems.?
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