The Macro Method

Say goodbye to calorie counting with this revolutionary weight-loss method. Macronutrients or 'macros' are the three main nutrient groups your body can't live without: carbohydrates, fats and protein. So many diets focus on calorie counting, but not all calories are created equal: your body doesn't process 20 calories of kale and 20 calories of chocolate in the same way because of their different macro breakdowns. Macro counting is all about balance. By eating the right ratio of carbohydrates, fats and protein, you can lose weight and build muscle in a healthy, sustainable way without avoiding the foods you love. This flexible approach to dieting encourages you to make smart food choices that guarantee results. The Macro Method will tell you everything you need to know about counting macros, including the latest research about how the diet works and its nutritional benefits. The 21-day plan will help you ditch the calorie counting for good, with more than 40 simple recipes to tempt you.

Scientist, fitness champion, and founder of Gauge Girl Training Christine Hronec shares a customizable plan to lose weight and shed fat by eating according to your macro type, a profile based on your body type and personal carb tolerance. Unlock your macro type and end the battle with the scale—for good. One-size-fits-all diets don’t work, and neither does counting calories alone. Biochemical Engineer and fitness expert Christine Hronec has discovered that the key to fat loss and feeling your best is eating the optimum ratio of macronutrients—protein, carbohydrates, and fat—for your unique body. Through years of coaching and research, Hronec has pinpointed five macro types, a bio-individual nutritional blueprint based on your body type and carb tolerance. Rooted in science and backed by real-world results, Unlock Your Macro Type reveals: The secret code of fat, and why you need to eat fat to burn fat Why drastic carb-cutting can backfire for many macro types The essential macronutrient most people don’t get enough of each day The single biggest factor that dictates how to eat for your macro type Complete with quizzes and tailor-made menus, recipes, and workouts, Hronec’s personalized plan is designed to get you the best results based on your body, your metabolism, and your goals.

Stop counting calories and transform your body while eating all the foods you love with The Everything Macro Diet Cookbook! You can finally stop counting calories and start eating foods that bring you joy! With the macro diet, no food is off limits. You can eat just about anything, just in specific portion sizes and still lose weight and gain lean muscle. The Everything Macro Diet Cookbook is an introduction to this flexible diet that can help anyone lose weight without having to avoid your favorite foods that may contain fats or carbs. Based on the simple formula that balances the daily intake of protein, fat, and carbohydrates, the macro diet is gaining in popularity as people discover they can shed pounds without feeling deprived. The Everything Macro Diet Cookbook not only includes an introduction to the diet that is changing lives, but also 300 recipes for every meal and sample meal plans to make shopping and meal prep easier than ever! This book gives you all you need to transform your body while eating what you love!

This book focuses on process simulation in chemical engineering with a numerical algorithm based on the moving finite element method (MFEM). It offers new tools and approaches for modeling and simulating time-dependent problems with moving fronts and with moving boundaries described by time-dependent convection-reaction-diffusion partial differential equations in one or two-dimensional space domains. It provides a comprehensive account of the development of the moving finite element method, describing and analyzing the theoretical and practical aspects of the MFEM for models in 1D, 1D+1d, and 2D space domains. Mathematical models are universal, and the book reviews successful applications of MFEM to solve engineering problems. It covers a broad range of application algorithm to engineering problems, namely on separation and reaction processes presenting and discussing relevant numerical applications of the moving finite element method derived from real-world process simulations.

Will a one-child policy increase economic growth? Does globalization contribute to global warming? Are unequal societies less healthy than more egalitarian societies? To answer questions like these, social scientists turn to quantitative macro-comparative research (QMCR). Although many social scientists understand statistics conceptually, they struggle with the mathematical skills required to conduct QMCR. In Methods for Quantitative Macro-Comparative Research, author Salvatore J. Babones offers a means to bridge that gap, interpreting the advanced statistics used in QMCR in terms of verbal descriptions that any college graduate with a basic background in statistics can follow. He addresses both the philosophical foundations and day-to-day practice of QMCR in an effort to improve research outcomes and ensure policy relevance. A comprehensive guide to QMCR, the book presents an overview of the questions that can be answered using QMCR, details the steps of the research process, and concludes with important guidelines and best-practices for conducting QMCR. The book assumes that the reader has a sound grasp of the fundamentals of linear regression modeling, but no advanced mathematical knowledge is required in order for researchers and students to read, understand, and enjoy the book. A conversational discussion style supplemented by 75 tables and figures makes the book's methodological arguments accessible to both students and professionals. Extensive citations refer readers back to primary discussions in the literature, and a comprehensive index provides easy access to coverage of specific techniques. “This should be required reading for World Bank, OECD and U.N. researchers and data collectors as well as applied and academic sociologists, economists, political scientists and others who conduct cross country comparisons using publicly available large datasets. —Ernesto Castañeda, University of Texas at El Paso “I really don’t know how the author has managed it, but he covers complex material in an incredibly clear way…I think students who have a weaker background in statistics will learn a lot from the text and students with an advanced background in statistics will look at their analyses in a different way (from the point of planning analyses to actually interpreting results).” —Lesley Williams Reid, Georgia State University