In addition to his academic achievements, he has published multiple papers about interval neutrophilic automata in conferences, national journals, and international journals with Scopus indexing. By conducting and publishing a mathematical study on abstract computing devices, he has gone above and beyond. He also had two works on statistics and related mathematics, which were further achievements. Another notable achievement was the book Allied Statistics, which he also published.
Don't let your fear of math hold you back from a rewarding career in nursing or allied health! Basic Math for Nursing and Allied Health uses an easy-to-understand building-block approach designed to teach you how to correlate basic math concepts with everyday activities and eventually master the more complex calculations and formulas used by nursing and allied health professionals. This unique text walks you through essential math topics from Arabic and Roman numerals, addition, subtraction, multiplication, division, fractions, decimals, percentage, ratios and proportions, to conversion factors between household and metric measurements. Case studies used throughout the book not only demonstrate the mathematical concepts related to everyday activities and events, but also show you how to effectively use case studies to master the art of interpreting story problems. Basic Math for Nursing and Allied Health is written by an author team with extensive experience in many different healthcare fields including: pharmacy technology, medical assisting, nursing, emergency medical technology, anesthesia technology, patient care technology, and laboratory technology, as well as allied health instruction and education. Powerful learning aids help you understand and retain key concepts: "Recipes for Success" case study scenarios show how mathematical concepts and formulas can be applied to real-life situations "Manual Math" tips and reminder boxes reinforce your confidence and knowledge Key Terms provides definitions of must-know words and phrases Chapter Openers and Chapter Summaries pinpoint must-know takeaways of each chapter Practice equations after each concept sharpen your math skills End-of-Chapter practice tests help you decide whether you should progress to the next chapter Comprehensive review and final exam pinpoint your strengths and weaknesses
For a long time, World War I has been shortchanged by the historiography of science. Until recently, World War II was usually considered as the defining event for the formation of the modern relationship between science and society. In this context, the effects of the First World War, by contrast, were often limited to the massive deaths of promising young scientists. By focusing on a few key places (Paris, Cambridge, Rome, Chicago, and others), the present book gathers studies representing a broad spectrum of positions adopted by mathematicians about the conflict, from militant pacifism to military, scientific, or ideological mobilization. The use of mathematics for war is thoroughly examined. This book suggests a new vision of the long-term influence of World War I on mathematics and mathematicians. Continuities and discontinuities in the structure and organization of the mathematical sciences are discussed, as well as their images in various milieux. Topics of research and the values with which they were defended are scrutinized. This book, in particular, proposes a more in-depth evaluation of the issue of modernity and modernization in mathematics. The issue of scientific international relations after the war is revisited by a close look at the situation in a few Allied countries (France, Britain, Italy, and the USA). The historiography has emphasized the place of Germany as the leading mathematical country before WWI and the absurdity of its postwar ostracism by the Allies. The studies presented here help explain how dramatically different prewar situations, prolonged interaction during the war, and new international postwar organizations led to attempts at redrafting models for mathematical developments.
This book covers elementary discrete mathematics for computer science and engineering. It emphasizes mathematical definitions and proofs as well as applicable methods. Topics include formal logic notation, proof methods; induction, well-ordering; sets, relations; elementary graph theory; integer congruences; asymptotic notation and growth of functions; permutations and combinations, counting principles; discrete probability. Further selected topics may also be covered, such as recursive definition and structural induction; state machines and invariants; recurrences; generating functions.
This book explores the rich history of community college math with a specific focus on gatekeeper math classes. Gatekeeper math classes include courses such as college algebra, introduction to statistics, and all developmental math classes. For community colleges, successful completion of these classes is imperative for student retention. This book presents a decade-by-decade analysis of the history of community college mathematics. The author employs a mix of conceptual, empirical, and quantitative research. The empirical research stems from interviews with 30 community college faculty members from seven community colleges. From the 1970s to the pandemic in the early 2020s, the book explores math curricula as well as trends, initiatives, teaching practices, and mandates that have impacted community college math. The positives and negatives of such trends, initiatives, and mandates are presented along with suggestions on how to apply such knowledge going forward. The author addresses the key questions: How can we build a future model for community college gatekeeper math classes that is both successful and sustainable? Additionally, how can we learn from the past and the present to build such a model? This book will be ideal for students in graduate programs focusing on community college leadership or developmental education leadership as well as all those hoping to improve success rates in community college mathematics programs.
