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The Search for a Scientific Profession by Lloyd J. Houser,Alvin M. Schrader Pdf
Monograph on library science education in Canada and the USA - analyses the historical evolution of librarianship in both countries, presents a theoretical framework for the study of library science education, notes quantitative growth in library teachers, schools, etc., and includes a bibliography pp. 159 to 173, diagrams, references and statistical tables.
Literacy Skill Development for Library Science Professionals by Thanuskodi, S. Pdf
With the increasing use of information communication technology in education, new skills and competencies among library science professionals are required for them to effectively disseminate necessary information to users. It is essential to equip educators and students with the requisite digital and information literacy competencies. Literacy Skill Development for Library Science Professionals provides emerging research exploring the roles and applications of information literacy and technology within library science and education. Featuring coverage on a broad range of topics such as electronic resources, mobile learning, and social media, this book is ideally designed for librarians, information and communication technology researchers, academicians, and graduate-level students seeking current research on the ability to find, evaluate, use, and share information in library science.
The Professional Knowledge Base of Science Teaching by Deborah Corrigan,Justin Dillon,Richard Gunstone Pdf
Over the past twenty years, much has been written about the knowledge bases thought necessary to teach science. Shulman has outlined seven knowledge domains needed for teaching, and others, such as Tamir, have proposed somewhat similar domains of knowledge, specifically for science teachers. Aspects of this knowledge have changed because of shifts in curriculum thinking, and the current trends in science education have seen a sharp increase in the significance of the knowledge bases. The development of a standards-based approach to the quality of science teaching has become common in the Western world, and phrases such as “evidence-based practice” have been tossed around in the attempt to “measure” such quality. The Professional Knowledge Base of Science Teaching explores the knowledge bases considered necessary for science teaching. It brings together a number of researchers who have worked with science teachers, and they address what constitutes evidence of high quality science teaching, on what basis such evidence can be judged, and how such evidence reflects the knowledge basis of the modern day professional science teacher. This is the second book produced from the Monash University- King’s College London International Centre for the Study of Science and Mathematics Curriculum. The first book presented a big picture of what science education might be like if values once again become central while this book explores what classroom practices may look like based on such a big picture.
Biomedical Science Professionals by Marcia Santore Pdf
Welcome to the exciting world of Biomedical Science Professionals! If you are interested in a career in biomedical science, you’ve come to the right book. So what exactly do these people do on the job, day in and day out? What kind of skills and educational background do you need to succeed in this field? How much can you expect to make, and what are the pros and cons of these various professions? Is this even the right career path for you? How do you avoid burnout and deal with stress? This book can help you answer these questions and more. This book covers seven of the many, many careers in this growing and well-respected field. You’ll also find interviews with professionals talking about their day-to-day and their take on the future of their fields. Biomedical Engineer Clinical Biochemist Clinical Laboratory Technologists Epidemiologist Forensic Scientist Medical scientist Microbiologist
Practical Data Science for Information Professionals by David Stuart Pdf
Practical Data Science for Information Professionals provides an accessible introduction to a potentially complex field, providing readers with an overview of data science and a framework for its application. It provides detailed examples and analysis on real data sets to explore the basics of the subject in three principle areas: clustering and social network analysis; predictions and forecasts; and text analysis and mining. As well as highlighting a wealth of user-friendly data science tools, the book also includes some example code in two of the most popular programming languages (R and Python) to demonstrate the ease with which the information professional can move beyond the graphical user interface and achieve significant analysis with just a few lines of code. After reading, readers will understand: · the growing importance of data science · the role of the information professional in data science · some of the most important tools and methods that information professionals can use. Bringing together the growing importance of data science and the increasing role of information professionals in the management and use of data, Practical Data Science for Information Professionals will provide a practical introduction to the topic specifically designed for the information community. It will appeal to librarians and information professionals all around the world, from large academic libraries to small research libraries. By focusing on the application of open source software, it aims to reduce barriers for readers to use the lessons learned within.
Careers in Food Science: From Undergraduate to Professional by Richard W Hartel,Christina P. Klawitter Pdf
Careers in Food Science provides detailed guidelines for students and new employees in the food industry to ensure a successful start to their career. Every step towards a rewarding career in this rapidly evolving industry is covered, from which classes to take in college and which degrees to earn, to internships, and finally how to land, and keep, the first job. This book also provides day-to-day examples of what to expect from the many jobs available to help students decide what to do and where to go. The food industry includes a wide array of fields and careers not only in food production and in academia, but also in government and research institutions. In fact, it is estimated that by 2010 there will be 52,000 annual job openings for college graduates in the Food, Agriculture, and Natural Resources system in the U.S. alone. Written by people who have experience or are currently working in each sector, this book seeks to shed some light on starting, or furthering, a career in this exciting field.
Introduction to Research and Medical Literature for Health Professionals by J. Glenn Forister,J. Dennis Blessing Pdf
Introduction to Research and Medical Literature for Health Professionals, Fourth Edition is an essential resource to help students, faculty, and practitioners understand the research process, interpret data, comprehend results, and incorporate findings into practice. From choosing a research project and developing the research process design, to systematically gathering information, analyzing, interpreting data, differentiating among conflicting results, and finally understanding the overall evaluation, Introduction to Research and Medical Literature for Health Professionals, Fourth Edition will help students and practitioners develop research skills to acquire and contribute knowledge that benefits their patients.
Scala: Guide for Data Science Professionals by Pascal Bugnion,Arun Manivannan,Patrick R. Nicolas Pdf
Scala will be a valuable tool to have on hand during your data science journey for everything from data cleaning to cutting-edge machine learning About This Book Build data science and data engineering solutions with ease An in-depth look at each stage of the data analysis process — from reading and collecting data to distributed analytics Explore a broad variety of data processing, machine learning, and genetic algorithms through diagrams, mathematical formulations, and source code Who This Book Is For This learning path is perfect for those who are comfortable with Scala programming and now want to enter the field of data science. Some knowledge of statistics is expected. What You Will Learn Transfer and filter tabular data to extract features for machine learning Read, clean, transform, and write data to both SQL and NoSQL databases Create Scala web applications that couple with JavaScript libraries such as D3 to create compelling interactive visualizations Load data from HDFS and HIVE with ease Run streaming and graph analytics in Spark for exploratory analysis Bundle and scale up Spark jobs by deploying them into a variety of cluster managers Build dynamic workflows for scientific computing Leverage open source libraries to extract patterns from time series Master probabilistic models for sequential data In Detail Scala is especially good for analyzing large sets of data as the scale of the task doesn't have any significant impact on performance. Scala's powerful functional libraries can interact with databases and build scalable frameworks — resulting in the creation of robust data pipelines. The first module introduces you to Scala libraries to ingest, store, manipulate, process, and visualize data. Using real world examples, you will learn how to design scalable architecture to process and model data — starting from simple concurrency constructs and progressing to actor systems and Apache Spark. After this, you will also learn how to build interactive visualizations with web frameworks. Once you have become familiar with all the tasks involved in data science, you will explore data analytics with Scala in the second module. You'll see how Scala can be used to make sense of data through easy to follow recipes. You will learn about Bokeh bindings for exploratory data analysis and quintessential machine learning with algorithms with Spark ML library. You'll get a sufficient understanding of Spark streaming, machine learning for streaming data, and Spark graphX. Armed with a firm understanding of data analysis, you will be ready to explore the most cutting-edge aspect of data science — machine learning. The final module teaches you the A to Z of machine learning with Scala. You'll explore Scala for dependency injections and implicits, which are used to write machine learning algorithms. You'll also explore machine learning topics such as clustering, dimentionality reduction, Naive Bayes, Regression models, SVMs, neural networks, and more. This learning path combines some of the best that Packt has to offer into one complete, curated package. It includes content from the following Packt products: Scala for Data Science, Pascal Bugnion Scala Data Analysis Cookbook, Arun Manivannan Scala for Machine Learning, Patrick R. Nicolas Style and approach A complete package with all the information necessary to start building useful data engineering and data science solutions straight away. It contains a diverse set of recipes that cover the full spectrum of interesting data analysis tasks and will help you revolutionize your data analysis skills using Scala.
Research for the Health Professional by Angela N. Hissong,Jennifer E. Lape,Diana M. Bailey Pdf
This classic text explains the hows and whys of conducting and writing a research project. Step-by-step guidance shows you how to select topics; how to select the appropriate methodology and theoretical framework; how to collect, analyze, and interpret the data; and how to write, present, and publish your project.
Professional Chaplaincy and Clinical Pastoral Education Should Become More Scientific by Larry VandeCreek Pdf
Does the scientific process belong in pastoral counseling? Professional Chaplaincy and Clinical Pastoral Education Should Become More Scientific: Yes and No examines the widespread ambivalence among pastoral caregivers and educators over the growing inclusion of science in pastoral care and counseling methodologies. Twenty-three seasoned professionals in the field give candid and sometimes emotional accounts of their interest inand reservations aboutthe role scientific research plays in their profession. Some authors look at the issue from a historical perspective; others voice additional concerns. A few make concrete proposals on how chaplaincy can become more scientific. The result is a unique insight into the relationship between the secular and the religious. The question of whether science belongs in pastoral care and counseling is moot; pastoral care already makes extensive use of psychological testing and psychotherapeutic skillsall products of scientific thinking. But as technology becomes more dominant and health care delivery reflects a more corporate perspective, pastoral caregivers and educators are divided on whether the changes represent the significant opportunity to improve a ministry or the surrender of the ministry's very essence. The essays collected in Professional Chaplaincy and Clinical Pastoral Education Should Become More Scientific: Yes and No go a step farther, breaking down the issue of faith versus science into more specific questions for pastoral caregivers, such as: Can what you do be measured? Do you have an obligation to embrace the challenge of change? Is becoming more scientific a necessity for staying in touch with your health care peers? How cost effective is the pastoral care you provide if it doesn't include the scientific process? Could a reluctance to incorporate science into your counseling cost you your job? Professional Chaplaincy and Clinical Pastoral Education Should Become More Scientific: Yes and No presents thoughtful and thought-provoking debate that is a must-read for all pastoral caregivers and educators.
Research by Cooperative Organizations, Survey of Scientific Research by Trade Associations, Professional and Technical Societies, and Other Cooperative Groups, 1953 by Battelle Memorial Institute Pdf
Managing and Leading for Science Professionals by Bertrand C. Liang Pdf
Can technical paradigms help managers lead technical companies? In Managing and Leading for Science Professionals, Bertrand Liang explains that they can, as he explores real issues of importance for technical students and managers who want to move into leadership positions. A CEO with an MBA, Liang originally trained as a neurology and oncology clinician and later earned a PhD in molecular biology and genetics. In this book, he emphasizes what he wishes he had known as he advanced through the organization. His practitioner's point of view is perfectly suited to those who are moving, or want to move, from the technical side to the business side. Focusing on the experiences of scientists and engineers, he teaches ways to speak top management's language. His insights deliver essential knowledge, empowering technical staff to succeed using the skills they know best. Describes "what I wish I’d known" as a manager with a technical background Focuses on using skills other than risk analysis to make decisions Explores ways to lead and manage innovation, particularly in relation to executives' responsibilities, skills, and tolerance for risk
