Ruby Programming For Medicine And Biology
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Ruby Programming for Medicine and Biology
Author: Jules J. Berman
language: en
Publisher: Jones & Bartlett Learning
Release Date: 2008
Once again, Jules J. Berman provides biomedical researchers and hospital professionals with an introduction to a time-saving programming language. In this new how-to manual, Berman expertly guides both experienced and inexperienced programmers through the Ruby programming language. Ruby Programming for Medicine and Biology opens with three chapters of Ruby language instruction followed by discussions of 100 ruby scripts covering the most common computational tasks in the field of biomedicine. With helpful explanations of how scripts work, and how they might be implemented in real-world situations, readers will become familiar with this free, open source, object-oriented programming language that is quickly gaining momentum within the bioinformatics community.
Logic and Critical Thinking in the Biomedical Sciences
All too often, individuals engaged in the biomedical sciences assume that numeric data must be left to the proper authorities (e.g., statisticians and data analysts) who are trained to apply sophisticated mathematical algorithms to sets of data. This is a terrible mistake. Individuals with keen observational skills, regardless of their mathematical training, are in the best position to draw correct inferences from their own data and to guide the subsequent implementation of robust, mathematical analyses. Volume 2 of Logic and Critical Thinking in the Biomedical Sciences provides readers with a repertoire of deductive non-mathematical methods that will help them draw useful inferences from their own data.Volumes 1 and 2 of Logic and Critical Thinking in the Biomedical Sciences are written for biomedical scientists and college-level students engaged in any of the life sciences, including bioinformatics and related data sciences. - Demonstrates that a great deal can be deduced from quantitative data, without applying any statistical or mathematical analyses - Provides readers with simple techniques for quickly reviewing and finding important relationships hidden within large and complex sets of data - Using examples drawn from the biomedical literature, discusses common pitfalls in data interpretation and how they can be avoided
Proofs and Logical Arguments Supporting the Foundational Laws of Physics
For scientists, students, and curious laypersons, this compilation, Proofs and Logical Arguments Supporting the Foundational Laws of Physics: A Handy Guide for Students and Scientists examines the most important laws and relationships taught in science courses, attaching a short and accessible proof or logical argument for each assertion. Every thoughtful person should seek to understand why we think we know what we say we know about the natural world. Otherwise, we may as well surrender ourselves to a world ruled by magic. In 136 essays, readers are provided with proofs and logical arguments supporting the laws and relationships that serve as the foundation of our rational understanding of reality. Among the essays included in this book, we will find proofs of Pauli’s exclusion principle, Heisenberg’s uncertainty principle, the principles of special relativity, the Schrodinger wave equation, Noether’s theorem, and many of the laws of physics and chemistry that no scientist should accept on blind faith alone. Laypersons will find that the ideas discussed in this volume are always thought-provoking and sometimes inspiring. For university undergraduates, the book will serve as an introduction to the core sciences. Graduate students may find this book to be a handy cross-disciplinary reference that explains how the tools of their own selected discipline have emerged from fundamental principles that unify all the sciences. Jules J. Berman received two baccalaureate degrees from MIT (from the Department of Mathematics, and from the Department of Earth and Planetary Sciences). He holds a PhD from Temple University, and an MD, from the University of Miami. His postdoctoral studies were completed at the US National Institutes of Health, and his residency was completed at the George Washington University Medical Center in Washington, DC. Dr. Berman served as Chief of Anatomic Pathology, Surgical Pathology, and Cytopathology at the Veterans administration Medical Center in Baltimore, Maryland, where he also held joint appointments at the University of Maryland Medical Center and at the Johns Hopkins Medical Institutions. In 1998, he transferred back to the US National Institutes of Health, as a Medical Officer, and as the Program Director for Pathology Informatics in the Cancer Diagnosis Program at the National Cancer Institute. Dr. Berman is a past president of the Association for Pathology Informatics, and is the 2011 recipient of the Association’s Lifetime Achievement Award. He has first-authored more than 100 journal articles and has written more than 20 single-author science books.