For women entrepreneurs (and anyone sick of the status quo), this smart, unapologetic collection delivers fifty proven hacks to leapfrog over obstacles and succeed in business. "A must-read for any woman who has a great idea and the nagging thought that doors are closed to her; Molina Niño helps to blow them open."--Publishers Weekly Think the most critical factor for becoming a great entrepreneur is grit, risk-taking, or technical skills? Think again. Despite what every other business book might say, historical data show the real secret ingredients to getting ahead in business are being rich, white, and male. Until now. Leapfrog is the decades-overdue startup bible for the rest of us. It's filled with uncompromising guidance for winning at business, your way. Leapfrog is for entrepreneurs of all stripes who are fed up with status quo advice--the kind that assumes you have rich friends and family and a public relations team. Refreshingly frank and witty, author Nathalie Molina Niño is a serial tech entrepreneur, the founder and CEO of BRAVA Investments, and a proud daughter of Latinx immigrants. While teaching budding entrepreneurs at Barnard College at Columbia University and searching the globe for investment-worthy startups, she has met or advised thousands of entrepreneurs who've gone from zero to scalable business. Here she shares their best secrets in the form of fifty "leapfrogs"--clever loopholes and shortcuts to outsmart, jump over, or straight up annihilate the seemingly intractable hurdles facing entrepreneurs who don't have family money, cultural capital, or connections.

Are maestros born or made? By making ideas mate, can you create new ones? How do you develop a mindset that helps you thrive? Can you nudge yourself into being more productive at work? Is it possible for you to debunk bullshit from the clutter all around? ... Find the answers to these questions and several more in Leapfrog Leapfrog-in the context of thriving at work-is a scenario when a new entrant outperforms others. How do they achieve this? Are high performers born or made? Is there a way to nudge yourself into being more successful at work and also in life? With its six evidence-based insights, this book is poised to help you to advance your career at an incredible pace. To begin with, the first step is to develop grit along with the ability to embrace boredom. The second practice, leaning on behavioral economics, focusses on nudging yourself to make better choices. The third practice is about being intellectually humble by accepting limits to what you know. The chapter on dancing with disciplines celebrates the magic of ideas colliding to create new ones. In a world full of noise and bullshit, you will need to curate choices to maintain a focus on what is relevant to you. The last practice helps you think like an entrepreneur and develop the ability to ask for what you want. Based on their extensive experience of teaching and mentoring students, the authors have developed a framework called the Personal Journey Map (PJM), which will help you imbibe and implement the six practices by capturing your current repertoire, scanning the landscape ahead, and curating a path to a career in which you can prosper.

This fourth edition of one of the classic logic textbooks has been thoroughly revised by John Burgess. The aim is to increase the pedagogical value of the book for the core market of students of philosophy and for students of mathematics and computer science as well. This book has become a classic because of its accessibility to students without a mathematical background, and because it covers not simply the staple topics of an intermediate logic course such as Godel's Incompleteness Theorems, but also a large number of optional topics from Turing's theory of computability to Ramsey's theorem. John Burgess has now enhanced the book by adding a selection of problems at the end of each chapter, and by reorganising and rewriting chapters to make them more independent of each other and thus to increase the range of options available to instructors as to what to cover and what to defer.

Two frog friends, Fred and Floyd, compete in an international frog competition. Alternating pages provide facts about frogs.

Computational Modeling, by Jay Wang introduces computational modeling and visualization of physical systems that are commonly found in physics and related areas. The authors begin with a framework that integrates model building, algorithm development, and data visualization for problem solving via scientific computing. Through carefully selected problems, methods, and projects, the reader is guided to learning and discovery by actively doing rather than just knowing physics.

Richard D. Cramer has been doing baseball analytics for just about as long as anyone alive, even before the term “sabermetrics” existed. He started analyzing baseball statistics as a hobby in the mid-1960s, not long after graduating from Harvard and MIT. He was a research scientist for SmithKline and in his spare time used his work computer to test his theories about baseball statistics. One of his earliest discoveries was that clutch hitting—then one of the most sacred pieces of received wisdom in the game—didn’t really exist. In When Big Data Was Small Cramer recounts his life and remarkable contributions to baseball knowledge. In 1971 Cramer learned about the Society for American Baseball Research (SABR) and began working with Pete Palmer, whose statistical work is credited with providing the foundation on which SABR is built. Cramer cofounded STATS Inc. and began working with the Houston Astros, Oakland A’s, Yankees, and White Sox, with the help of his new Apple II computer. Yet for Cramer baseball was always a side interest, even if a very intense one for most of the last forty years. His main occupation, which involved other “big data” activities, was that of a chemist who pioneered the use of specialized analytics, often known as computer-aided drug discovery, to help guide the development of pharmaceutical drugs. After a decade-long hiatus, Cramer returned to baseball analytics in 2004 and has done important work with Retrosheet since then. When Big Data Was Small is the story of the earliest days of baseball analytics and computer-aided drug discovery.

This book constitutes the refereed proceedings of the 21st International Colloquium on Structural Information and Communication Complexity, SIROCCO 2014, held in Takayama, Japan, in July 2014. The 24 full papers presented together with 5 invited talks were carefully reviewed and selected from 51 submissions. The focus of the colloquium is on following subjects Shared Memory and Multiparty Communication, Network Optimization, CONGEST Algorithms and Lower Bounds, Wireless networks, Aggregation and Creation Games in Networks, Patrolling and Barrier Coverage, Exploration, Rendevous and Mobile Agents.

Energy Landscapes of Nanoscale Systems provides a snapshot of the state-of-the-art in energy landscapes theory and applications. The book's chapters reflect diversity and knowledge transfer that is a key strength of the energy landscape approach. To reflect the breadth of this field, contributions include applications for clusters, biomolecules, crystal structure prediction and glassy materials. Chapters highlighting new methodologies, especially enhanced sampling techniques are included. In particular, the development and application of global optimization for structure prediction, methods for treating broken ergodicity on multifunnel landscapes, and treatment of rare event dynamics that reflect the state-of-the-art are featured. This book is an important reference source for materials scientists and energy engineers who want to understand more about how nanotechnology applies to the energy landscape approach. This volume is dedicated to Prof. Roy L. Johnston, who was formerly Co-Editor of the Frontiers of Nanoscience series, and who passed away in 2019. - Outlines applications and advances in theory and simulation of energy systems at the nanoscale - Explores how the energy landscapes approach is being applied to nanoscale materials - Assesses major challenges in applying nanomaterials for energy applications on an industrial scale