Advertisement
| example product of science: A Framework for K-12 Science Education National Research Council, Division of Behavioral and Social Sciences and Education, Board on Science Education, Committee on a Conceptual Framework for New K-12 Science Education Standards, 2012-02-28 Science, engineering, and technology permeate nearly every facet of modern life and hold the key to solving many of humanity's most pressing current and future challenges. The United States' position in the global economy is declining, in part because U.S. workers lack fundamental knowledge in these fields. To address the critical issues of U.S. competitiveness and to better prepare the workforce, A Framework for K-12 Science Education proposes a new approach to K-12 science education that will capture students' interest and provide them with the necessary foundational knowledge in the field. A Framework for K-12 Science Education outlines a broad set of expectations for students in science and engineering in grades K-12. These expectations will inform the development of new standards for K-12 science education and, subsequently, revisions to curriculum, instruction, assessment, and professional development for educators. This book identifies three dimensions that convey the core ideas and practices around which science and engineering education in these grades should be built. These three dimensions are: crosscutting concepts that unify the study of science through their common application across science and engineering; scientific and engineering practices; and disciplinary core ideas in the physical sciences, life sciences, and earth and space sciences and for engineering, technology, and the applications of science. The overarching goal is for all high school graduates to have sufficient knowledge of science and engineering to engage in public discussions on science-related issues, be careful consumers of scientific and technical information, and enter the careers of their choice. A Framework for K-12 Science Education is the first step in a process that can inform state-level decisions and achieve a research-grounded basis for improving science instruction and learning across the country. The book will guide standards developers, teachers, curriculum designers, assessment developers, state and district science administrators, and educators who teach science in informal environments. |
| example product of science: Science Literacy National Academies of Sciences, Engineering, and Medicine, Division of Behavioral and Social Sciences and Education, Board on Science Education, Committee on Science Literacy and Public Perception of Science, 2016-11-14 Science is a way of knowing about the world. At once a process, a product, and an institution, science enables people to both engage in the construction of new knowledge as well as use information to achieve desired ends. Access to scienceâ€whether using knowledge or creating itâ€necessitates some level of familiarity with the enterprise and practice of science: we refer to this as science literacy. Science literacy is desirable not only for individuals, but also for the health and well- being of communities and society. More than just basic knowledge of science facts, contemporary definitions of science literacy have expanded to include understandings of scientific processes and practices, familiarity with how science and scientists work, a capacity to weigh and evaluate the products of science, and an ability to engage in civic decisions about the value of science. Although science literacy has traditionally been seen as the responsibility of individuals, individuals are nested within communities that are nested within societiesâ€and, as a result, individual science literacy is limited or enhanced by the circumstances of that nesting. Science Literacy studies the role of science literacy in public support of science. This report synthesizes the available research literature on science literacy, makes recommendations on the need to improve the understanding of science and scientific research in the United States, and considers the relationship between scientific literacy and support for and use of science and research. |
| example product of science: Concepts of Biology Samantha Fowler, Rebecca Roush, James Wise, 2023-05-12 Black & white print. Concepts of Biology is designed for the typical introductory biology course for nonmajors, covering standard scope and sequence requirements. The text includes interesting applications and conveys the major themes of biology, with content that is meaningful and easy to understand. The book is designed to demonstrate biology concepts and to promote scientific literacy. |
| example product of science: Science And Human Behavior B.F Skinner, 2012-12-18 The psychology classic—a detailed study of scientific theories of human nature and the possible ways in which human behavior can be predicted and controlled—from one of the most influential behaviorists of the twentieth century and the author of Walden Two. “This is an important book, exceptionally well written, and logically consistent with the basic premise of the unitary nature of science. Many students of society and culture would take violent issue with most of the things that Skinner has to say, but even those who disagree most will find this a stimulating book.” —Samuel M. Strong, The American Journal of Sociology “This is a remarkable book—remarkable in that it presents a strong, consistent, and all but exhaustive case for a natural science of human behavior…It ought to be…valuable for those whose preferences lie with, as well as those whose preferences stand against, a behavioristic approach to human activity.” —Harry Prosch, Ethics |
| example product of science: Research and Networks for Decision Support in the NOAA Sectoral Applications Research Program National Research Council, Division of Behavioral and Social Sciences and Education, Committee on the Human Dimensions of Global Change, Panel on Design Issues for the NOAA Sectoral Applications Research Program, 2007-11-02 This study recommends a definition of decision support that emphasizes communication rather than translation and a strategy by which the small NOAA Sectoral Applications Research program can advance decision support. The book emphasizes that seasonal climate forecasts provide fundamentally new kinds of information and that integrating this information into real-world decisions will require social innovations that are not easily accomplished. It recommends that the program invest in (a) research to identify and foster the innovations needed to make information about climate variability and change more usable in specific sectors, including research on the processes that influence success or failure in the creation of knowledge-action networks for making climate information; (b) workshops to identify, catalyze, and assess the potential of knowledge-action networks in particular resource areas or decision domains; and (c) pilot projects to create or enhance these networks for supporting decisions in climate-affected sectors. It recommends that evaluation of the program be addressed with a monitoring approach. |
| example product of science: Matrix Operations for Engineers and Scientists Alan Jeffrey, 2010-09-05 Engineers and scientists need to have an introduction to the basics of linear algebra in a context they understand. Computer algebra systems make the manipulation of matrices and the determination of their properties a simple matter, and in practical applications such software is often essential. However, using this tool when learning about matrices, without first gaining a proper understanding of the underlying theory, limits the ability to use matrices and to apply them to new problems. This book explains matrices in the detail required by engineering or science students, and it discusses linear systems of ordinary differential equations. These students require a straightforward introduction to linear algebra illustrated by applications to which they can relate. It caters of the needs of undergraduate engineers in all disciplines, and provides considerable detail where it is likely to be helpful. According to the author the best way to understand the theory of matrices is by working simple exercises designed to emphasize the theory, that at the same time avoid distractions caused by unnecessary numerical calculations. Hence, examples and exercises in this book have been constructed in such a way that wherever calculations are necessary they are straightforward. For example, when a characteristic equation occurs, its roots (the eigenvalues of a matrix) can be found by inspection. The author of this book is Alan Jeffrey, Emeritus Professor of mathematics at the University of Newcastle upon Tyne. He has given courses on engineering mathematics at UK and US Universities. |
| example product of science: Scientific Perspectivism Ronald N. Giere, 2010-05-05 Many people assume that the claims of scientists are objective truths. But historians, sociologists, and philosophers of science have long argued that scientific claims reflect the particular historical, cultural, and social context in which those claims were made. The nature of scientific knowledge is not absolute because it is influenced by the practice and perspective of human agents. Scientific Perspectivism argues that the acts of observing and theorizing are both perspectival, and this nature makes scientific knowledge contingent, as Thomas Kuhn theorized forty years ago. Using the example of color vision in humans to illustrate how his theory of “perspectivism” works, Ronald N. Giere argues that colors do not actually exist in objects; rather, color is the result of an interaction between aspects of the world and the human visual system. Giere extends this argument into a general interpretation of human perception and, more controversially, to scientific observation, conjecturing that the output of scientific instruments is perspectival. Furthermore, complex scientific principles—such as Maxwell’s equations describing the behavior of both the electric and magnetic fields—make no claims about the world, but models based on those principles can be used to make claims about specific aspects of the world. Offering a solution to the most contentious debate in the philosophy of science over the past thirty years, Scientific Perspectivism will be of interest to anyone involved in the study of science. |
| example product of science: Science , 1893 Vols. for 1911-13 contain the Proceedings of the Helminothological Society of Washington, ISSN 0018-0120, 1st-15th meeting. |
| example product of science: Proceedings of the Second Pan American Scientific Congress, Washington, U. S. A., Monday, December 27, 1915 to Saturday, January 8, 1916 , 1917 |
| example product of science: Proceedings of the Second Pan American Scientific Congress: (section VIII, pt. 2) Public health and medicine. W. C. Gorgas, chairman , 1917 |
| example product of science: Proceedings of the second Pan American Scientific Congress, Washington, U.S.A., Monday, December 27, 1915 to Saturday, January 8, 1916 1915- 1916 v. 10 , 1917 |
| example product of science: Principle Concepts of Technology and Innovation Management: Critical Research Models Friedman, Robert S., Roberts, Desiree M., Linton, Jonathan D., 2008-09-30 This book is a reference guide to the theory and research supporting the field of Technology and Innovation Management--Provided by publisher. |
| example product of science: Intelligent Systems And Soft Computing For Nuclear Science And Industry - Proceedings Of The 2nd International Flins Workshop Da Ruan, Pierre D'hondt, Etienne E Kerre, Paul Govaerts, 1996-07-29 Following FLINS '94, the 1st International workshop on fuzzy logic and intelligent technologies in nuclear science, FLINS '96 aimed to introduce the principles of intelligent systems and soft computing, such as fuzzy logic, neural networks, genetic algorithms (and any combination of these three), knowledge-based expert systems and complex problem-solving techniques, in nuclear science and industry and in related fields.This volume presents carefully selected papers drawn from more than 20 countries. It covers theoretical aspects of intelligent systems and soft computing, together with their applications in nuclear science and industry. |
| example product of science: The Proceedings of the Iowa Academy of Science Iowa Academy of Science, 1904 List of members in each volume. |
| example product of science: Transactions of the Kansas Academy of Science Kansas Academy of Science, 1922 |
| example product of science: Reproducibility and Replicability in Science National Academies of Sciences, Engineering, and Medicine, Policy and Global Affairs, Committee on Science, Engineering, Medicine, and Public Policy, Board on Research Data and Information, Division on Engineering and Physical Sciences, Committee on Applied and Theoretical Statistics, Board on Mathematical Sciences and Analytics, Division on Earth and Life Studies, Nuclear and Radiation Studies Board, Division of Behavioral and Social Sciences and Education, Committee on National Statistics, Board on Behavioral, Cognitive, and Sensory Sciences, Committee on Reproducibility and Replicability in Science, 2019-10-20 One of the pathways by which the scientific community confirms the validity of a new scientific discovery is by repeating the research that produced it. When a scientific effort fails to independently confirm the computations or results of a previous study, some fear that it may be a symptom of a lack of rigor in science, while others argue that such an observed inconsistency can be an important precursor to new discovery. Concerns about reproducibility and replicability have been expressed in both scientific and popular media. As these concerns came to light, Congress requested that the National Academies of Sciences, Engineering, and Medicine conduct a study to assess the extent of issues related to reproducibility and replicability and to offer recommendations for improving rigor and transparency in scientific research. Reproducibility and Replicability in Science defines reproducibility and replicability and examines the factors that may lead to non-reproducibility and non-replicability in research. Unlike the typical expectation of reproducibility between two computations, expectations about replicability are more nuanced, and in some cases a lack of replicability can aid the process of scientific discovery. This report provides recommendations to researchers, academic institutions, journals, and funders on steps they can take to improve reproducibility and replicability in science. |
| example product of science: Risk Science Terje Aven, Shital Thekdi, 2024-09-12 Risk science is becoming increasingly important as businesses, policymakers and public sector leaders are tasked with decision-making and investment using varying levels of knowledge and information. Risk Science: An Introduction explores the theory and practice of risk science, providing concepts and tools for understanding and acting under conditions of uncertainty. The chapters in this book cover the fundamental concepts, principles, approaches, methods and models for how to understand, assess, communicate, manage and govern risk. These topics are presented and examined in a way which details how they relate, for example, how to characterize and communicate risk with particular emphasis on reflecting uncertainties; how to distinguish risk perception and professional risk judgments; how to assess risk and guide decision-makers, especially for cases involving large uncertainties and value differences; and how to integrate risk assessment with resilience-based strategies. The text provides a variety of examples and case studies that relate to highly visible and relevant issues facing risk academics, practitioners and non-risk leaders who must make risk-related decisions. This revised and updated second edition features an entirely new chapter on the integrity and quality of risk studies, and dealing with misinformation in the context of risk. Presenting both the foundational and most recent advancements in the subject matter, this work particularly suits students of risk science courses at college and university level. The book also provides broader key reading for students and scholars in other domains, including business, engineering and public health. |
| example product of science: Bulletin of the Society to Promote the Science of Management Society to Promote the Science of Management, Taylor Society, 1914 |
| example product of science: The Chemical News and Journal of Physical Science , 1911 |
| example product of science: Indian Library Science Abstracts , 1987 |
| example product of science: School Education , 1916 |
| example product of science: Chemical News and Journal of Physical Science , 1904 |
| example product of science: Introduction to Scientific and Technical Computing Frank T. Willmore, Eric Jankowski, Coray Colina, 2016-08-19 Created to help scientists and engineers write computer code, this practical book addresses the important tools and techniques that are necessary for scientific computing, but which are not yet commonplace in science and engineering curricula. This book contains chapters summarizing the most important topics that computational researchers need to know about. It leverages the viewpoints of passionate experts involved with scientific computing courses around the globe and aims to be a starting point for new computational scientists and a reference for the experienced. Each contributed chapter focuses on a specific tool or skill, providing the content needed to provide a working knowledge of the topic in about one day. While many individual books on specific computing topics exist, none is explicitly focused on getting technical professionals and students up and running immediately across a variety of computational areas. |
| example product of science: British Scientific Products Exhibition Sir Richard Gregory, 1919 |
| example product of science: Handbook of Research on Pedagogical Innovations for Sustainable Development Thomas, Ken D., 2014-03-31 Summary: This book brings together case study examples in the fields of sustainability, sustainable development, and education for sustainable development-- |
| example product of science: Understanding Scientific Understanding Henk W. de Regt, 2017-07-24 It is widely acknowledged that a central aim of science is to achieve understanding of the world around us, and that possessing such understanding is highly important in our present-day society. But what does it mean to achieve this understanding? What precisely is scientific understanding? These are philosophical questions that have not yet received satisfactory answers. While there has been an ongoing debate about the nature of scientific explanation since Carl Hempel advanced his covering-law model in 1948, the related notion of understanding has been largely neglected, because most philosophers regarded understanding as merely a subjective by-product of objective explanations. By contrast, this book puts scientific understanding center stage. It is primarily a philosophical study, but also contains detailed historical case studies of scientific practice. In contrast to most existing studies in this area, it takes into account scientists' views and analyzes their role in scientific debate and development. The aim of Understanding Scientific Understanding is to develop and defend a philosophical theory of scientific understanding that can describe and explain the historical variation of criteria for understanding actually employed by scientists. The theory does justice to the insights of such famous physicists as Werner Heisenberg and Richard Feynman, while bringing much-needed conceptual rigor to their intuitions. The scope of the proposed account of understanding is the natural sciences: while the detailed case studies derive from physics, examples from other sciences are presented to illustrate its wider validity. |
| example product of science: Report of Proceedings - National Academy of Science National Academy of Sciences (U.S.), 1883 |
| example product of science: English Mechanic and Mirror of Science , 1870 |
| example product of science: Philosophy of Science for Biologists Kostas Kampourakis, Tobias Uller, 2020-09-24 A short and accessible introduction to philosophy of science for students and researchers across the life sciences. |
| example product of science: Knowledge and Illustrated Scientific News , 1910 |
| example product of science: Exemplary Science in Grades 9-12 Robert Eugene Yager, 2005 In this collection of 15 essays, educators describe successful programs they've developed to fulfill the US National Science Education Standards' vision for the reform of teaching assessment, professional development, and content at the high school level. All the visions correspond with the Less Emphasis and More Emphasis conditions that conclude each section of the Standards, characterizing what most teachers and programs should do less of as well as describing the changes needed if real reform is to occur. Essay titles reveal the range of programs, and creativity, this book encompasses. Among the titles are: Technology and Cooperative Learning: The IIT Model for Teaching Authentic Chemistry Curriculum, Modeling: Changes in Traditional Physics Instruction, Guided by the Standards: Inquiry and Assessment in Two Rural and Urban Schools, and even Sing and Dance Your Way to Science Success. The book ends with a summary chapter by editor Robert Yager on successes and continuing challenges in meeting the Standards' visions for improving high school science. As Yager notes, The exemplary programs described in this monograph give inspiration while also providing evidence that the new directions are feasible and worth the energy and effort needed for others to implement changes. |
| example product of science: Political Economy, Political Science and Sociology Richard Theodore Ely, 1899 |
| example product of science: Principles of Biomedical Sciences and Industry Markus Hinder, Alexander Schuhmacher, Jörg Goldhahn, Dominik Hartl, 2022-07-22 Principles of Biomedical Sciences and Industry Improve your product development skills to bring new ideas to biomedicine The development of innovative healthcare products, such as biodegradable implants, biopharmaceuticals, or companion diagnostics, requires a multi-disciplinary approach that incorporates scientific evidence with novel and innovative ideas to create new and improved products and treatments. Indeed, product development and the integration of science with commercial aspects have become key challenges for scientists working in the pharmaceutical, biotech, and medtech industries. Using a multi-pronged approach to development, Principles of Biomedical Sciences and Industry combines ideas and methodologies from four of the central areas of focus in the biomedical arena: pharmaceuticals, diagnostics, biomaterials, and medical devices. In doing so, the book covers the entire product lifecycle, from translating a scientific idea into a prototype to product development, launch, and management. Principles of Biomedical Sciences and Industry readers will also find: Several case studies from the most important product categories (pharmaceuticals, diagnostics, medical devices, combination products) Chapters dealing with toxicology and safety risks in development, as well as regulatory approval Key business aspects including how to secure funding, managing intellectual property, and price regulation in the market An ideal resource for teachers and students that conveys the information in an easily-digestible format Ideal for advanced students and young professionals pursuing a career in the biomedical and healthcare industries, Principles of Biomedical Sciences and Industry is an essential reference for those in pharmaceutical industry, biotechnologists, medicinal chemists, bio-engineers, pharma engineers, and management consultants. |
| example product of science: Chemical News and Journal of Industrial Science , 1904 |
| example product of science: The Chemical News and Journal of Industrial Science , 1904 |
| example product of science: Management Science , 1996-05 Issues for Feb. 1965-Aug. 1967 include Bulletin of the Institute of Management Sciences. |
| example product of science: Big Data Analytics Venkat Ankam, 2016-09-28 A handy reference guide for data analysts and data scientists to help to obtain value from big data analytics using Spark on Hadoop clusters About This Book This book is based on the latest 2.0 version of Apache Spark and 2.7 version of Hadoop integrated with most commonly used tools. Learn all Spark stack components including latest topics such as DataFrames, DataSets, GraphFrames, Structured Streaming, DataFrame based ML Pipelines and SparkR. Integrations with frameworks such as HDFS, YARN and tools such as Jupyter, Zeppelin, NiFi, Mahout, HBase Spark Connector, GraphFrames, H2O and Hivemall. Who This Book Is For Though this book is primarily aimed at data analysts and data scientists, it will also help architects, programmers, and practitioners. Knowledge of either Spark or Hadoop would be beneficial. It is assumed that you have basic programming background in Scala, Python, SQL, or R programming with basic Linux experience. Working experience within big data environments is not mandatory. What You Will Learn Find out and implement the tools and techniques of big data analytics using Spark on Hadoop clusters with wide variety of tools used with Spark and Hadoop Understand all the Hadoop and Spark ecosystem components Get to know all the Spark components: Spark Core, Spark SQL, DataFrames, DataSets, Conventional and Structured Streaming, MLLib, ML Pipelines and Graphx See batch and real-time data analytics using Spark Core, Spark SQL, and Conventional and Structured Streaming Get to grips with data science and machine learning using MLLib, ML Pipelines, H2O, Hivemall, Graphx, SparkR and Hivemall. In Detail Big Data Analytics book aims at providing the fundamentals of Apache Spark and Hadoop. All Spark components – Spark Core, Spark SQL, DataFrames, Data sets, Conventional Streaming, Structured Streaming, MLlib, Graphx and Hadoop core components – HDFS, MapReduce and Yarn are explored in greater depth with implementation examples on Spark + Hadoop clusters. It is moving away from MapReduce to Spark. So, advantages of Spark over MapReduce are explained at great depth to reap benefits of in-memory speeds. DataFrames API, Data Sources API and new Data set API are explained for building Big Data analytical applications. Real-time data analytics using Spark Streaming with Apache Kafka and HBase is covered to help building streaming applications. New Structured streaming concept is explained with an IOT (Internet of Things) use case. Machine learning techniques are covered using MLLib, ML Pipelines and SparkR and Graph Analytics are covered with GraphX and GraphFrames components of Spark. Readers will also get an opportunity to get started with web based notebooks such as Jupyter, Apache Zeppelin and data flow tool Apache NiFi to analyze and visualize data. Style and approach This step-by-step pragmatic guide will make life easy no matter what your level of experience. You will deep dive into Apache Spark on Hadoop clusters through ample exciting real-life examples. Practical tutorial explains data science in simple terms to help programmers and data analysts get started with Data Science |
| example product of science: Nuclear Science Abstracts , 1974 |
| example product of science: The Need for Scientific Research in the Fishing Industries Maurice Holland, 1926 |
| example product of science: Science and Democracy Pierluigi Barrotta, Giovanni Scarafile, 2018-05-15 The relationship between science and democracy has become a much-debated issue. In recent years, we have even seen an exponential growth in literature on the subject. No doubt, the interest has partly been justified by the concern of public opinion over the technological repercussions of scientific research. Moreover, there are scientific theories that, if they were accepted, would allegedly imply the adoption of policies that have wide social consequences, as well as a rethinking of deeply-rooted habits on the part of the citizens. These considerations alone allow us to understand the reasons for the interest in the, at times troublesome, relationships between science and public opinion which characterize democratic societies. |
EXAMPLE Definition & Meaning - Merriam-Webster
The meaning of EXAMPLE is one that serves as a pattern to be imitated or not to be imitated. How to use example in a sentence. Synonym Discussion …
EXAMPLE | English meaning - Cambridge Dictionary
EXAMPLE definition: 1. something that is typical of the group of things that it is a member of: 2. a way of helping…. …
EXAMPLE Definition & Meaning | Dictionary.com
one of a number of things, or a part of something, taken to show the character of the whole. This painting is an example of his early work. a pattern …
Example - definition of example by The Free Dictiona…
1. one of a number of things, or a part of something, taken to show the character of the whole. 2. a pattern or model, as of something to be …
Example Definition & Meaning - YourDictionary
To be illustrated or exemplified (by). Wear something simple; for example, a skirt and blouse.
EXAMPLE Definition & Meaning - Merriam-Webster
The meaning of EXAMPLE is one that serves as a pattern to be imitated or not to be imitated. How to use example in a sentence. Synonym Discussion of Example.
EXAMPLE | English meaning - Cambridge Dictionary
EXAMPLE definition: 1. something that is typical of the group of things that it is a member of: 2. a way of helping…. Learn more.
EXAMPLE Definition & Meaning | Dictionary.com
one of a number of things, or a part of something, taken to show the character of the whole. This painting is an example of his early work. a pattern or model, as of something to be imitated or …
Example - definition of example by The Free Dictionary
1. one of a number of things, or a part of something, taken to show the character of the whole. 2. a pattern or model, as of something to be imitated or avoided: to set a good example. 3. an …
Example Definition & Meaning - YourDictionary
To be illustrated or exemplified (by). Wear something simple; for example, a skirt and blouse.
EXAMPLE - Meaning & Translations | Collins English Dictionary
An example of something is a particular situation, object, or person which shows that what is being claimed is true. 2. An example of a particular class of objects or styles is something that …
example noun - Definition, pictures, pronunciation and usage …
used to emphasize something that explains or supports what you are saying; used to give an example of what you are saying. There is a similar word in many languages, for example in …
Example - Definition, Meaning & Synonyms - Vocabulary.com
An example is a particular instance of something that is representative of a group, or an illustration of something that's been generally described. Example comes from the Latin word …
example - definition and meaning - Wordnik
noun Something that serves as a pattern of behaviour to be imitated (a good example) or not to be imitated (a bad example). noun A person punished as a warning to others. noun A parallel …
EXAMPLE Synonyms: 20 Similar Words - Merriam-Webster
Some common synonyms of example are case, illustration, instance, sample, and specimen. While all these words mean "something that exhibits distinguishing characteristics in its …
