Burrelli, Joan S.
This brief describes graduate enrollment increases in the science and engineering fields, especially in engineering and computer sciences. Graduate student enrollment is summarized by enrollment status, citizenship, race/ethnicity, and fields. (KHR)
Ivo D. Dinov
Full Text Available The need for hands-on computer laboratory experience in undergraduate and graduate statistics education has been firmly established in the past decade. As a result a number of attempts have been undertaken to develop novel approaches for problem-driven statistical thinking, data analysis and result interpretation. In this paper we describe an integrated educational web-based framework for: interactive distribution modeling, virtual online probability experimentation, statistical data analysis, visualization and integration. Following years of experience in statistical teaching at all college levels using established licensed statistical software packages, like STATA, S-PLUS, R, SPSS, SAS, Systat, etc., we have attempted to engineer a new statistics education environment, the Statistics Online Computational Resource (SOCR. This resource performs many of the standard types of statistical analysis, much like other classical tools. In addition, it is designed in a plug-in object-oriented architecture and is completely platform independent, web-based, interactive, extensible and secure. Over the past 4 years we have tested, fine-tuned and reanalyzed the SOCR framework in many of our undergraduate and graduate probability and statistics courses and have evidence that SOCR resources build student's intuition and enhance their learning.
Sally Campbell; Paul Dunham; David. Azuma
This report is a summary of timber resource statistics for all ownerships in Oregon. Data were collected as part of several statewide multiresource inventories, including those conducted by the Pacific Northwest Region (Region 6) on National Forest System lands in Oregon, by the Bureau of Land Management (BLM) on BLM lands in western Oregon, and by the Pacific...
Harassment of Women: Climate, Culture, and Consequences in Academic Sciences, Engineering, and Medicine June 12, 2018, 11 am - 12:30 pm ET Washington, DC Report Discussion Sexual Harassment of Women: Climate . EDUCATION Elementary and Secondary Mathematics and Science Education High School Graduates who Completed
Dinov, Ivo D.; Christou, Nicolas
The Statistics Online Computational Resource (http://www.SOCR.ucla.edu) provides one of the largest collections of free Internet-based resources for probability and statistics education. SOCR develops, validates and disseminates two core types of materials--instructional resources and computational libraries. (Contains 2 figures.)
Dinov, Ivo D.
The need for hands-on computer laboratory experience in undergraduate and graduate statistics education has been firmly established in the past decade. As a result a number of attempts have been undertaken to develop novel approaches for problem-driven statistical thinking, data analysis and result interpretation. In this paper we describe an integrated educational web-based framework for: interactive distribution modeling, virtual online probability experimentation, statistical data analysis...
Bang, Heejung; Davidian, Marie
In this chapter, we cover basic and fundamental principles and methods in statistics - from "What are Data and Statistics?" to "ANOVA and linear regression," which are the basis of any statistical thinking and undertaking. Readers can easily find the selected topics in most introductory statistics textbooks, but we have tried to assemble and structure them in a succinct and reader-friendly manner in a stand-alone chapter. This text has long been used in real classroom settings for both undergraduate and graduate students who do or do not major in statistical sciences. We hope that from this chapter, readers would understand the key statistical concepts and terminologies, how to design a study (experimental or observational), how to analyze the data (e.g., describe the data and/or estimate the parameter(s) and make inference), and how to interpret the results. This text would be most useful if it is used as a supplemental material, while the readers take their own statistical courses or it would serve as a great reference text associated with a manual for any statistical software as a self-teaching guide.
Stanford, John L
This volume of Methods of Experimental Physics provides an extensive introduction to probability and statistics in many areas of the physical sciences, with an emphasis on the emerging area of spatial statistics. The scope of topics covered is wide-ranging-the text discusses a variety of the most commonly used classical methods and addresses newer methods that are applicable or potentially important. The chapter authors motivate readers with their insightful discussions, augmenting their material withKey Features* Examines basic probability, including coverage of standard distributions, time s
Michael, Andrew J.; Wiemer, Stefan
Statistical seismology is the application of rigorous statistical methods to earthquake science with the goal of improving our knowledge of how the earth works. Within statistical seismology there is a strong emphasis on the analysis of seismicity data in order to improve our scientific understanding of earthquakes and to improve the evaluation and testing of earthquake forecasts, earthquake early warning, and seismic hazards assessments. Given the societal importance of these applications, statistical seismology must be done well. Unfortunately, a lack of educational resources and available software tools make it difficult for students and new practitioners to learn about this discipline. The goal of the Community Online Resource for Statistical Seismicity Analysis (CORSSA) is to promote excellence in statistical seismology by providing the knowledge and resources necessary to understand and implement the best practices, so that the reader can apply these methods to their own research. This introduction describes the motivation for and vision of CORRSA. It also describes its structure and contents.
Neil McKay; Patricia M. Bassett; Colin D. MacLean
This report summarizes a 1990-91 timber resource inventory of Washington east of the crest of the Cascade Range. The inventory was conducted on all private and public lands except National Forests. Timber resource statistics from National Forest inventories also are presented. Detailed tables provide estimates of forest area, timber volume, growth, mortality, and...
National Science Foundation, Washington, DC.
During the March through July 1981 period a total of 36 Federal agencies and their subdivisions (95 individual respondents) submitted data in response to the Annual Survey of Federal Funds for Research and Development, Volume XXX, conducted by the National Science Foundation. The detailed statistical tables presented in this report were derived…
National Science Foundation, Washington, DC. Div. of Science Resources Studies.
Detailed statistical tables on federal funds for research and development (R&D) are provided in this document. Tables are organized into the following sections: research, development, and R&D plant; R&D--agency, character of work, and performer; total research--agency, performer, and field of science; basic research--agency, performer,…
Karen L. Waddell; Patricia M. Bassett
This report is a summary of timber resource statistics for the Sacramento Resource Area of California, which includes Butte, Colusa, El Dorado, Glenn, Lake, Napa, Nevada, Placer, Plumas, Sacramento, Sierra, Sutter, Tehama, Yolo, and Yuba Counties. Data were collected as part of a statewide multiresource inventory. The inventory sampled private and public lands except...
Peters, Susan A.
How can statistics clearly be mathematical and yet distinct from mathematics? The answer lies in the reality that statistics is both an art and a science, and both aspects are important for teaching and learning statistics. Statistics is a mathematical science in that it applies mathematical theories and techniques. Mathematics provides the…
Engineering Concentration on Ergonomics M.S. Program in Computer Science Interdisciplinary Concentration on Structural Engineering Laboratory Water Resources Laboratory Computer Science Department Computer Science Academic Programs Computer Science Undergraduate Programs Computer Science Major Computer Science Tracks
Texas Education Agency, Austin. Div. of Curriculum Development.
This guide for elementary teachers provides information on getting ideas into action, designing and implementing the right situation, ways in which to evaluate science process activities with students, and seven sample units. The units cover using the senses, magnets, forces, weather forecasting, classification of living things, and the physical…
.... Additional topics covered include environmental monitoring, impact assessment, censored data, environmental sampling, the role of statistics in environmental science, assessing site reclamation...
Cohen, Barry H; Lea, R Brooke
A comprehensive and user-friendly introduction to statistics for behavioral science students-revised and updated Refined over seven editions by master teachers, this book gives instructors and students alike clear examples and carefully crafted exercises to support the teaching and learning of statistics for both manipulating and consuming data. One of the most popular and respected statistics texts in the behavioral sciences, the Seventh Edition of Introductory Statistics for the Behavioral Sciences has been fully revised. The new edition presents all the topics students in the behavioral s
Chen, Jiahua; Lu, Xuewen; Yi, Grace; Yu, Hao
This book gathers invited presentations from the 2nd Symposium of the ICSA- CANADA Chapter held at the University of Calgary from August 4-6, 2015. The aim of this Symposium was to promote advanced statistical methods in big-data sciences and to allow researchers to exchange ideas on statistics and data science and to embraces the challenges and opportunities of statistics and data science in the modern world. It addresses diverse themes in advanced statistical analysis in big-data sciences, including methods for administrative data analysis, survival data analysis, missing data analysis, high-dimensional and genetic data analysis, longitudinal and functional data analysis, the design and analysis of studies with response-dependent and multi-phase designs, time series and robust statistics, statistical inference based on likelihood, empirical likelihood and estimating functions. The editorial group selected 14 high-quality presentations from this successful symposium and invited the presenters to prepare a fu...
Christian, C. A.; Scollick, K.
The Office of Space Science (OSS) of NASA supports educational programs as a by-product of the research it funds through missions and investigative programs. A rich suite of resources for public use is available including multimedia materials, online resources, hardcopies and other items. The OSS supported creation of a resource catalog through a group lead by individuals at STScI that ultimately will provide an easy-to-use and user-friendly search capability to access products. This paper describes the underlying architecture of that catalog, including the challenge to develop a system for characterizing education products through appropriate metadata. The system must also be meaningful to a large clientele including educators, scientists, students, and informal science educators. An additional goal was to seamlessly exchange data with existing federally supported educational systems as well as local systems. The goals, requirements, and standards for the catalog will be presented to illuminate the rationale for the implementation ultimately adopted.
Beerenwinkel, Niko; Siebourg, Juliane
In this chapter, we review basic concepts from probability theory and computational statistics that are fundamental to evolutionary genomics. We provide a very basic introduction to statistical modeling and discuss general principles, including maximum likelihood and Bayesian inference. Markov chains, hidden Markov models, and Bayesian network models are introduced in more detail as they occur frequently and in many variations in genomics applications. In particular, we discuss efficient inference algorithms and methods for learning these models from partially observed data. Several simple examples are given throughout the text, some of which point to models that are discussed in more detail in subsequent chapters.
The NASA Office of Space Science Resource Catalog provides a convenient online interface for finding space science products for use in classrooms, science museums, planetariums, and many other venues. Goals in developing this catalog are: (1) create a cataloging system for all NASA OSS education products, (2) develop a system for characterizing education products which is meaningful to a large clientele, (3) develop a mechanism for evaluating products, (4) provide a user-friendly interface to search and access the data, and (5) provide standardized metadata and interfaces to other cataloging and library systems. The first version of the catalog is being tested at the spring 2000 conventions of the National Science Teachers Association (NSTA) and the National Council of Teachers of Mathematics (NCTM) and will be released in summer 2000. The catalog may be viewed at the Origins Education Forum booth.
Lin, Xihong; Banks, David L; Molenberghs, Geert; Scott, David W; Wang, Jane-Ling
Past, Present, and Future of Statistical Science was commissioned in 2013 by the Committee of Presidents of Statistical Societies (COPSS) to celebrate its 50th anniversary and the International Year of Statistics. COPSS consists of five charter member statistical societies in North America and is best known for sponsoring prestigious awards in statistics, such as the COPSS Presidents' award. Through the contributions of a distinguished group of 50 statisticians who are past winners of at least one of the five awards sponsored by COPSS, this volume showcases the breadth and vibrancy of statisti
Introduction to Research in Social and Behavioral SciencesBasic Principles of ResearchPlanning for ResearchTypes of Research Designs Sampling ProceduresValidity and Reliability of Measurement InstrumentsSteps of the Research Process Introduction to Nonparametric StatisticsData AnalysisOverview of Nonparametric Statistics and Parametric Statistics Overview of Parametric Statistics Overview of Nonparametric StatisticsImportance of Nonparametric MethodsMeasurement InstrumentsAnalysis of Data to Determine Association and Agreement Pearson Chi-Square Test of Association and IndependenceContingency
Statistical literacy, the ability to understand and make use of statistical information including methods, has particular relevance in the age of data science, when complex analyses are undertaken by teams from diverse backgrounds. Not only is it essential to communicate to the consumers of information but also within the team. Writing from the…
Statistical Methods for the Physical Sciences is an informal, relatively short, but systematic, guide to the more commonly used ideas and techniques in statistical analysis, as used in physical sciences, together with explanations of their origins. It steers a path between the extremes of a recipe of methods with a collection of useful formulas, and a full mathematical account of statistics, while at the same time developing the subject in a logical way. The book can be read in its entirety by anyone with a basic exposure to mathematics at the level of a first-year undergraduate student
Vasques, Monica H. Braga; Carneiro, Janete C. Gaburo; Sordi, Gian M.A.
As radiation exposure is the main point of interest in radiation epidemiology, epidemiologists try to relate the risk of diseases (mainly the risk of cancer) to the different levels and patterns of humankind exposure to radiation. Statistics as a branch of mathematics is able to prove associations and infer causality. As many researches are object of methodological limits, mainly those related to both the insufficient size of the sample and descriptive analysis as well as the choice of methods and variables, this paper aims at describing firstly the main kinds of epidemiological studies. Secondly, it relates distributions and summary measures (central tendency measures, measures of dispersion and normal distributions) and hypothesis tests as well necessary for each study. It also discusses the most appropriate statistical resource to the epidemiological evaluation. Finally, the main aim of this study is both to elaborate a systematic review of the researches that have been already done in Brazil since 2000, focusing on the effects caused by the occupational exposures to ionizing radiation in order to establish positive associations between them and to analyze the risk related to the workers health. This paper has as its basis the Reports in Public Health (Public Health Books-CSP) from which several studies about the exposure effects to ionizing radiation and referred kinds of cancer (e.g.: leukemia, skin cancer, thyroid gland cancer and bone cancer) have been taken as object of analysis. The relevance of this study lies in the most applied methods of risk to establish positive associations in ionizing radiation, in the relation between workers' workplace and his health. (author)
Inoue, Jun-Ichi; Chen, He
We provide a mathematical platform to investigate the network topology of agents, say, university graduates who are looking for their positions in labor markets. The basic model is described by the so-called Potts spin glass which is well-known in the research field of statistical physics. In the model, each Potts spin (a tiny magnet in atomic scale length) represents the action of each student, and it takes a discrete variable corresponding to the company he/she applies for. We construct the energy to include three distinct effects on the students' behavior, namely, collective effect, market history and international ranking of companies. In this model system, the correlations (the adjacent matrix) between students are taken into account through the pairwise spin-spin interactions. We carry out computer simulations to examine the efficiency of the model. We also show that some chiral representation of the Potts spin enables us to obtain some analytical insights into our labor markets. This work was financially supported by Grant-in-Aid for Scientific Research (C) of Japan Society for the Promotion of Science No. 25330278.
Miah, Abdul Quader
This book addresses the application of statistical techniques and methods across a wide range of disciplines. While its main focus is on the application of statistical methods, theoretical aspects are also provided as fundamental background information. It offers a systematic interpretation of results often discovered in general descriptions of methods and techniques such as linear and non-linear regression. SPSS is also used in all the application aspects. The presentation of data in the form of tables and graphs throughout the book not only guides users, but also explains the statistical application and assists readers in interpreting important features. The analysis of statistical data is presented consistently throughout the text. Academic researchers, practitioners and other users who work with statistical data will benefit from reading Applied Statistics for Social and Management Sciences. .
Welkowitz, Joan; Cohen, Jacob
Introductory Statistics for the Behavioral Sciences provides an introduction to statistical concepts and principles. This book emphasizes the robustness of parametric procedures wherein such significant tests as t and F yield accurate results even if such assumptions as equal population variances and normal population distributions are not well met.Organized into three parts encompassing 16 chapters, this book begins with an overview of the rationale upon which much of behavioral science research is based, namely, drawing inferences about a population based on data obtained from a samp
Sijin He; Li Guo; Yike Guo
Resource provisioning based on virtual machine (VM) has been widely accepted and adopted in cloud computing environments. A key problem resulting from using static scheduling approaches for allocating VMs on different physical machines (PMs) is that resources tend to be not fully utilised. Although some existing cloud reconfiguration algorithms have been developed to address the problem, they normally result in high migration costs and low resource utilisation due to ignoring the multi-dimens...
Patricia M. Bassett; Daniel D. Oswald
This report summarizes a 1978 timber-resource inventory of six counties in southwest Washington: Clark, Cowlitz, Lewis, Pacific, Skamania, and Wahkiakum. Detailed tables of forest area, timber volume, growth, mortality, and harvest are presented.
Patricia M. Bassett; Daniel D. Oswald
This report summarizes a 1980 timber resource inventory of the 16 forested counties in Washington east of the crest of the Cascade Range. Detailed tables of forest area, timber volume, growth, mortality, and harvest are presented.
Coffin D. MacLean; Patricia M. Bassett; Glenn. Yeary
This report summarizes a 1988-90 timber resource inventory of 19 counties in western Washington: Clallam, Clark, Cowlitz, Grays Harbor, Island, Jefferson, King, Kitsap, Lewis, Mason, Pacific, Pierce, San Juan, Skagit, Skamania, Snohomish, Thurston, Wahkiakum, and Whatcom. Detailed tables of forest area, timber volume, growth, mortality, and harvest are presented.
de Gruijter, Dato N M
Since the development of the first intelligence test in the early 20th century, educational and psychological tests have become important measurement techniques to quantify human behavior. Focusing on this ubiquitous yet fruitful area of research, Statistical Test Theory for the Behavioral Sciences provides both a broad overview and a critical survey of assorted testing theories and models used in psychology, education, and other behavioral science fields. Following a logical progression from basic concepts to more advanced topics, the book first explains classical test theory, covering true score, measurement error, and reliability. It then presents generalizability theory, which provides a framework to deal with various aspects of test scores. In addition, the authors discuss the concept of validity in testing, offering a strategy for evidence-based validity. In the two chapters devoted to item response theory (IRT), the book explores item response models, such as the Rasch model, and applications, incl...
Doorn, Bradley; Toll, David; Engman, Ted
The Earth Systems Division within NASA has the primary responsibility for the Earth Science Applied Science Program and the objective to accelerate the use of NASA science results in applications to help solve problems important to society and the economy. The primary goal of the Earth Science Applied Science Program is to improve future and current operational systems by infusing them with scientific knowledge of the Earth system gained through space-based observation, assimilation of new observations, and development and deployment of enabling technologies, systems, and capabilities. This paper discusses one of the major problems facing water resources managers, that of having timely and accurate data to drive their decision support tools. It then describes how NASA?s science and space based satellites may be used to overcome this problem. Opportunities for the water resources community to participate in NASA?s Water Resources Applications Program are described.
Bruce Hiserote; Joel Moen; Charles L. Bolsinger
This report is one of five that provide timber resource statistics for 57 of the 58 counties in California (San Francisco is excluded). This report presents statistics from a 1982-84 inventory of the timber resources of Alpine, Amador, Calaveras, Fresno, Imperial, Inyo, Kern, Kings, Los Angeles, Madera, Mariposa, Merced, Mono, Orange, Riverside, San Bernardino, San...
Karen L. Waddell; Patricia M. Bassett
This report is a summary of timber resource statistics for the North Coast Resource Area of California, which includes Del Norte, Humboldt, Mendocino, and Sonoma Counties. Data were collected by the Pacific Northwest Research Station as part of a State-wide multi-resource inventory. The inventory sampled private and public lands except reserved areas and National...
Karen L. Waddell; Patricia M. Bassett
This report is a summary of timber resource statistics for the Central Coast Resource Area of California, which includes Alameda, Contra Costa, Marin, Monterey, San Benito, San Francisco, San Luis Obispo, San Mateo, Santa Barbara, Santa Clara, Santa Cruz, Solano, and Ventura Counties. Data were collected as part of a statewide multi-resource inventory. The inventory...
Patricia M. Bassett; Grover A. Choate
Timber resource statistics to January 1, 1973, for the State of Washington show total land area, commercial timberland area, and growing stock and sawtimber inventory volumes by county and owner group. Growth and removals are shown by Forest Survey inventory unit for 1972. Each National Forest is updated to January 1, 1973.
Patricia M. Bassett; Grover A. Choate
Timber resource statistics as of January 1, 1973, for the State of Oregon show total land area, commercial timberland area, and growing stock and sawtimber inventory volumes by county and owner group. Growth and removals are shown by Forest Survey inventory unit for 1972. Each National Forest is updated to January 1, 1973, as well as each Bureau of Land Management...
Mathematics and Science (NCISLA) HOME | PROGRAM OVERVIEW | RESEARCH AND PROFESSIONAL DEVELOPMENT support and improve student understanding of mathematics and science. The instructional resources listed Resources (CD)Powerful Practices in Mathematics and Science A multimedia product for educators, professional
Karen L. Waddell; Patricia M. Bassett
This report is a summary of timber resource statistics for the North Interior Resource Area of California, which includes Lassen, Modoc, Shasta, Siskiyou, and Trinity Counties. Data were collected as part of a statewide multiresource inventory. The inventory sampled private and public lands except reserved areas and National Forests. The National Forest System provided...
Karen L. Waddell; Patricia M. Bassett
This report is a summary of timber resource statistics for the San Joaquin and Southern Resource Areas of California, which include Alpine, Amador, Calaveras, Fresno, Imperial, Inyo, Kern, Kings, Los Angeles, Madera, Mariposa, Merced, Mono, Orange, Riverside, San Bernardino, San Diego, San Joaquin, Stanislaus, Tulare, and Tuolumne Counties. Data were collected as part...
This SpringerBrief presents radio resource allocation schemes for buffer-aided communications systems over fading channels under statistical delay constraints in terms of upper-bounded average delay or delay-outage probability. This Brief starts by considering a source-destination communications link with data arriving at the source transmission buffer. The first scenario, the joint optimal data admission control and power allocation problem for throughput maximization is considered, where the source is assumed to have a maximum power and an average delay constraints. The second scenario, optimal power allocation problems for energy harvesting (EH) communications systems under average delay or delay-outage constraints are explored, where the EH source harvests random amounts of energy from renewable energy sources, and stores the harvested energy in a battery during data transmission. Online resource allocation algorithms are developed when the statistical knowledge of the random channel fading, data arrivals...
Gordon, Rachel A A
Applied Statistics for the Social and Health Sciences provides graduate students in the social and health sciences with the basic skills that they need to estimate, interpret, present, and publish statistical models using contemporary standards. The book targets the social and health science branches such as human development, public health, sociology, psychology, education, and social work in which students bring a wide range of mathematical skills and have a wide range of methodological affinities. For these students, a successful course in statistics will not only offer statistical content
Ramachandran, R.; Fox, P. A.; Kempler, S.; Maskey, M.
One of the continuing challenges in any Earth science investigation is the amount of time and effort required for data preparation before analysis can begin. Current Earth science data and information systems have their own shortcomings. For example, the current data search systems are designed with the assumption that researchers find data primarily by metadata searches on instrument or geophysical keywords, assuming that users have sufficient knowledge of the domain vocabulary to be able to effectively utilize the search catalogs. These systems lack support for new or interdisciplinary researchers who may be unfamiliar with the domain vocabulary or the breadth of relevant data available. There is clearly a need to innovate and evolve current data and information systems in order to improve data discovery and exploration capabilities to substantially reduce the data preparation time and effort. We assert that Earth science metadata assets are dark resources, information resources that organizations collect, process, and store for regular business or operational activities but fail to utilize for other purposes. The challenge for any organization is to recognize, identify and effectively utilize the dark data stores in their institutional repositories to better serve their stakeholders. NASA Earth science metadata catalogs contain dark resources consisting of structured information, free form descriptions of data and pre-generated images. With the addition of emerging semantic technologies, such catalogs can be fully utilized beyond their original design intent of supporting current search functionality. In this presentation, we will describe our approach of exploiting these information resources to provide novel data discovery and exploration pathways to science and education communities
Sonia Patricia Carreño Moreno
Full Text Available Objective: To integrate findings of scientific literature that report on the importance of statistical thinking for development of nursing as a science. Content synthesis: Literature review of articles published in indexed scientific journals between 1998 and 2017 in databases lilacs, sage Journals, Wiley Online Library, Scopus, bireme, Scielo, ScienceDirect, PubMed, cuiden® y ProQuest. 22 publications were included and findings were extracted, classified, and simplified using descriptor codes, nominal codes, and emerging topics. The following six topics emerged from searches: Education for statistical thinking; Statistical thinking for decision-making in practice; Obstacles to the statistical thinking development; Skills necessary to statistical thinking; Statistics in creating scientific knowledge; and Challenges for statistical thinking development. Conclusion: In the current development of nursing as a science, statistical thinking has primarily been a useful tool for the research field and training of researchers. The existence of obstacles to the statistical thinking development in nurse practitioners has been reported, revealing the need to bound statistics with nursing practice. For this purpose, it is essential to prepare texts and subject of statistics applied to the context of discipline and practice. Descriptors: Biostatistics; Statistics as Topic; Statistics; Science; Nursing(source: decs, bireme.
Feb 27, 2018 ... Post Graduate and Research Department of Physics. Bishop Moore ... The Course will cover the basic and advanced topics of Statistical. Mechanics ... Courses of good standing for promotion, vide notification. F3-1/2009 ...
This comprehensive text offers teachings relevant to both applied and theoretical branches of matrix algebra and provides a bridge between linear algebra and statistical models. Appropriate for advanced undergraduate and graduate students. 1983 edition.
Johnson, James L
Comprehensive and thorough development of both probability and statistics for serious computer scientists; goal-oriented: ""to present the mathematical analysis underlying probability results"" Special emphases on simulation and discrete decision theory Mathematically-rich, but self-contained text, at a gentle pace Review of calculus and linear algebra in an appendix Mathematical interludes (in each chapter) which examine mathematical techniques in the context of probabilistic or statistical importance Numerous section exercises, summaries, historical notes, and Further Readings for reinforcem
Roč. 20, č. 6 (2009), s. 743-750 ISSN 1180-4009. [TIES 2007. Annual Meeting of the International Environmental Society /18./. Mikulov, 16.08.2007-20.08.2007] Institutional research plan: CEZ:AV0Z10300504 Keywords : biomedical informatics * biomedical statistics * genetic information * forensic dentistry Subject RIV: BB - Applied Statistics, Operational Research Impact factor: 1.000, year: 2009
Cox, David R
I greatly appreciate the invitation to give this lecture with its century long history. The title is a warning that the lecture is rather discursive and not highly focused and technical. The theme is simple. That statistical thinking provides a unifying set of general ideas and specific methods relevant whenever appreciable natural variation is present. To be most fruitful these ideas should merge seamlessly with subject-matter considerations. By contrast, there is sometimes a temptation to regard formal statistical analysis as a ritual to be added after the serious work has been done, a ritual to satisfy convention, referees, and regulatory agencies. I want implicitly to refute that idea.
This book offers a quick and basic guide to using SPSS and provides a general approach to solving problems using statistical tests. It is both comprehensive in terms of the tests covered and the applied settings it refers to, and yet is short and easy to understand. Whether you are a beginner or an intermediate level test user, this book will help you to analyse different types of data in applied settings. It will also give you the confidence to use other statistical software and to extend your expertise to more specific scientific settings as required.The author does not use mathematical form
Michael, A. J.; Wiemer, S.; Zechar, J. D.; Hardebeck, J. L.; Naylor, M.; Zhuang, J.; Steacy, S.; Corssa Executive Committee
Statistical seismology is critical to the understanding of seismicity, the testing of proposed earthquake prediction and forecasting methods, and the assessment of seismic hazard. Unfortunately, despite its importance to seismology - especially to those aspects with great impact on public policy - statistical seismology is mostly ignored in the education of seismologists, and there is no central repository for the existing open-source software tools. To remedy these deficiencies, and with the broader goal to enhance the quality of statistical seismology research, we have begun building the Community Online Resource for Statistical Seismicity Analysis (CORSSA). CORSSA is a web-based educational platform that is authoritative, up-to-date, prominent, and user-friendly. We anticipate that the users of CORSSA will range from beginning graduate students to experienced researchers. More than 20 scientists from around the world met for a week in Zurich in May 2010 to kick-start the creation of CORSSA: the format and initial table of contents were defined; a governing structure was organized; and workshop participants began drafting articles. CORSSA materials are organized with respect to six themes, each containing between four and eight articles. The CORSSA web page, www.corssa.org, officially unveiled on September 6, 2010, debuts with an initial set of approximately 10 to 15 articles available online for viewing and commenting with additional articles to be added over the coming months. Each article will be peer-reviewed and will present a balanced discussion, including illustrative examples and code snippets. Topics in the initial set of articles will include: introductions to both CORSSA and statistical seismology, basic statistical tests and their role in seismology; understanding seismicity catalogs and their problems; basic techniques for modeling seismicity; and methods for testing earthquake predictability hypotheses. A special article will compare and review
Zechar, J. D.; Hardebeck, J. L.; Michael, A. J.; Naylor, M.; Steacy, S.; Wiemer, S.; Zhuang, J.
Statistical seismology is critical to the understanding of seismicity, the evaluation of proposed earthquake prediction and forecasting methods, and the assessment of seismic hazard. Unfortunately, despite its importance to seismology-especially to those aspects with great impact on public policy-statistical seismology is mostly ignored in the education of seismologists, and there is no central repository for the existing open-source software tools. To remedy these deficiencies, and with the broader goal to enhance the quality of statistical seismology research, we have begun building the Community Online Resource for Statistical Seismicity Analysis (CORSSA, www.corssa.org). We anticipate that the users of CORSSA will range from beginning graduate students to experienced researchers. More than 20 scientists from around the world met for a week in Zurich in May 2010 to kick-start the creation of CORSSA: the format and initial table of contents were defined; a governing structure was organized; and workshop participants began drafting articles. CORSSA materials are organized with respect to six themes, each will contain between four and eight articles. CORSSA now includes seven articles with an additional six in draft form along with forums for discussion, a glossary, and news about upcoming meetings, special issues, and recent papers. Each article is peer-reviewed and presents a balanced discussion, including illustrative examples and code snippets. Topics in the initial set of articles include: introductions to both CORSSA and statistical seismology, basic statistical tests and their role in seismology; understanding seismicity catalogs and their problems; basic techniques for modeling seismicity; and methods for testing earthquake predictability hypotheses. We have also begun curating a collection of statistical seismology software packages.
Guy M. Robinson
Full Text Available This is the introduction to the Ecology and Society special feature on "Applying Landscape Science to Natural Resource Management". Primarily drawing upon examples from Australia, the nine papers in the feature illustrate how landscape science seeks to integrate information from diverse sources to generate management solutions for implementation by individual land managers, communities, and governments at different levels. This introduction refers to the genesis of the feature, briefly outlines the nature and content of landscape science, and then summarizes key features of the nine papers. These are organized into two sections: one deals with inputs from human agents in the landscape, and one with the development of models enabling different management scenarios and environmental changes to be envisaged, understood, and applied to policy development.
The Course is aimed at college teachers of statistical physics at BSc/MSc level. ... teachers, with at least a masters degree in Physics/Mathematics/Engineering are ... Topics: There will be six courses dealing with, Basic principles and general ...
The Course is aimed at college teachers of statistical physics at BSc/MSc level. It will cover basic principles and techniques, in a pedagogical manner, through lectures and tutorials, with illustrative problems. Some advanced topics, and common difficulties faced by students will also be discussed. College/University ...
Hopkins, William G; Marshall, Stephen W; Batterham, Alan M; Hanin, Juri
Statistical guidelines and expert statements are now available to assist in the analysis and reporting of studies in some biomedical disciplines. We present here a more progressive resource for sample-based studies, meta-analyses, and case studies in sports medicine and exercise science. We offer forthright advice on the following controversial or novel issues: using precision of estimation for inferences about population effects in preference to null-hypothesis testing, which is inadequate for assessing clinical or practical importance; justifying sample size via acceptable precision or confidence for clinical decisions rather than via adequate power for statistical significance; showing SD rather than SEM, to better communicate the magnitude of differences in means and nonuniformity of error; avoiding purely nonparametric analyses, which cannot provide inferences about magnitude and are unnecessary; using regression statistics in validity studies, in preference to the impractical and biased limits of agreement; making greater use of qualitative methods to enrich sample-based quantitative projects; and seeking ethics approval for public access to the depersonalized raw data of a study, to address the need for more scrutiny of research and better meta-analyses. Advice on less contentious issues includes the following: using covariates in linear models to adjust for confounders, to account for individual differences, and to identify potential mechanisms of an effect; using log transformation to deal with nonuniformity of effects and error; identifying and deleting outliers; presenting descriptive, effect, and inferential statistics in appropriate formats; and contending with bias arising from problems with sampling, assignment, blinding, measurement error, and researchers' prejudices. This article should advance the field by stimulating debate, promoting innovative approaches, and serving as a useful checklist for authors, reviewers, and editors.
Quintana, Carolina; Millwater, Harry R.; Singh, Gulshan; Golden, Patrick
Statistical estimates from simulation involve uncertainty caused by the variability in the input random variables due to limited data. Allocating resources to obtain more experimental data of the input variables to better characterize their probability distributions can reduce the variance of statistical estimates. The methodology proposed determines the optimal number of additional experiments required to minimize the variance of the output moments given single or multiple constraints. The method uses multivariate t-distribution and Wishart distribution to generate realizations of the population mean and covariance of the input variables, respectively, given an amount of available data. This method handles independent and correlated random variables. A particle swarm method is used for the optimization. The optimal number of additional experiments per variable depends on the number and variance of the initial data, the influence of the variable in the output function and the cost of each additional experiment. The methodology is demonstrated using a fretting fatigue example.
Przybyła, Piotr; Shardlow, Matthew; Aubin, Sophie; Bossy, Robert; Eckart de Castilho, Richard; Piperidis, Stelios; McNaught, John; Ananiadou, Sophia
Text mining is a powerful technology for quickly distilling key information from vast quantities of biomedical literature. However, to harness this power the researcher must be well versed in the availability, suitability, adaptability, interoperability and comparative accuracy of current text mining resources. In this survey, we give an overview of the text mining resources that exist in the life sciences to help researchers, especially those employed in biocuration, to engage with text mining in their own work. We categorize the various resources under three sections: Content Discovery looks at where and how to find biomedical publications for text mining; Knowledge Encoding describes the formats used to represent the different levels of information associated with content that enable text mining, including those formats used to carry such information between processes; Tools and Services gives an overview of workflow management systems that can be used to rapidly configure and compare domain- and task-specific processes, via access to a wide range of pre-built tools. We also provide links to relevant repositories in each section to enable the reader to find resources relevant to their own area of interest. Throughout this work we give a special focus to resources that are interoperable-those that have the crucial ability to share information, enabling smooth integration and reusability. © The Author(s) 2016. Published by Oxford University Press.
Shardlow, Matthew; Aubin, Sophie; Bossy, Robert; Eckart de Castilho, Richard; Piperidis, Stelios; McNaught, John; Ananiadou, Sophia
Text mining is a powerful technology for quickly distilling key information from vast quantities of biomedical literature. However, to harness this power the researcher must be well versed in the availability, suitability, adaptability, interoperability and comparative accuracy of current text mining resources. In this survey, we give an overview of the text mining resources that exist in the life sciences to help researchers, especially those employed in biocuration, to engage with text mining in their own work. We categorize the various resources under three sections: Content Discovery looks at where and how to find biomedical publications for text mining; Knowledge Encoding describes the formats used to represent the different levels of information associated with content that enable text mining, including those formats used to carry such information between processes; Tools and Services gives an overview of workflow management systems that can be used to rapidly configure and compare domain- and task-specific processes, via access to a wide range of pre-built tools. We also provide links to relevant repositories in each section to enable the reader to find resources relevant to their own area of interest. Throughout this work we give a special focus to resources that are interoperable—those that have the crucial ability to share information, enabling smooth integration and reusability. PMID:27888231
Li, Xian-song; Bai, Li; Zhang, Li-ming
The status quo of resource allocation of agricultural science and technology R&D (research and development)both at home and abroadï¼Œincluding the amount and function of agricultural science and technology research funds, human resources in the resources of agricultural science and technology R&D , the efficiency of resource allocation of agricultural science and technology R&D, the management system of agricultural scientific innovation and the operation status of scientific funds, is analyz...
Yosipof, Abraham; Shimanovich, Klimentiy; Senderowitz, Hanoch
Material informatics is engaged with the application of informatic principles to materials science in order to assist in the discovery and development of new materials. Central to the field is the application of data mining techniques and in particular machine learning approaches, often referred to as Quantitative Structure Activity Relationship (QSAR) modeling, to derive predictive models for a variety of materials-related "activities". Such models can accelerate the development of new materials with favorable properties and provide insight into the factors governing these properties. Here we provide a comparison between medicinal chemistry/drug design and materials-related QSAR modeling and highlight the importance of developing new, materials-specific descriptors. We survey some of the most recent QSAR models developed in materials science with focus on energetic materials and on solar cells. Finally we present new examples of material-informatic analyses of solar cells libraries produced from metal oxides using combinatorial material synthesis. Different analyses lead to interesting physical insights as well as to the design of new cells with potentially improved photovoltaic parameters. © 2016 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim.
Cooper, Antony K
Full Text Available draw on inputs from other countries and much of the report is relevant to forensic science in other countries. The report makes thirteen detailed recommendations, several of which will require statistics and statisticians for their implementation...
In the Microgravity Science Division, the primary responsibilities of the Business Management Office are resource management and data collection. Resource management involves working with a budget to do a number of specific projects, while data collection involves collecting information such as the status of projects and workforce hours. This summer in the Business Management Office I assisted Margie Allen with resource planning and the implementation of specific microgravity projects. One of the main duties of a Project Control Specialists, such as my mentor, is to monitor and analyze project manager s financial plans. Project managers work from the bottom up to determine how much money their project will cost. They then set up a twelve month operating plan which shows when money will be spent. I assisted my mentor in checking for variances in her data against those of the project managers. In order to successfully check for those variances, we had to understand: where the project is including plans vs. actual performance, why it is in its present condition, and what the future impact will be based on known budgetary parameters. Our objective was to make sure that the plan, or estimated resources input, are a valid reflection of the actual cost. To help with my understanding of the process, over the course of my tenure I had to obtain skills in Microsoft Excel and Microsoft Access.
Draper, Geoffrey M.; Liu, Baodong; Riesenfeld, Richard F.
The use of computer software to facilitate learning in political science courses is well established. However, the statistical software packages used in many political science courses can be difficult to use and counter-intuitive. We describe the results of a preliminary user study suggesting that visually-oriented analysis software can help…
Dinov, Ivo D; Sanchez, Juana; Christou, Nicolas
Technology-based instruction represents a new recent pedagogical paradigm that is rooted in the realization that new generations are much more comfortable with, and excited about, new technologies. The rapid technological advancement over the past decade has fueled an enormous demand for the integration of modern networking, informational and computational tools with classical pedagogical instruments. Consequently, teaching with technology typically involves utilizing a variety of IT and multimedia resources for online learning, course management, electronic course materials, and novel tools of communication, engagement, experimental, critical thinking and assessment.The NSF-funded Statistics Online Computational Resource (SOCR) provides a number of interactive tools for enhancing instruction in various undergraduate and graduate courses in probability and statistics. These resources include online instructional materials, statistical calculators, interactive graphical user interfaces, computational and simulation applets, tools for data analysis and visualization. The tools provided as part of SOCR include conceptual simulations and statistical computing interfaces, which are designed to bridge between the introductory and the more advanced computational and applied probability and statistics courses. In this manuscript, we describe our designs for utilizing SOCR technology in instruction in a recent study. In addition, present the results of the effectiveness of using SOCR tools at two different course intensity levels on three outcome measures: exam scores, student satisfaction and choice of technology to complete assignments. Learning styles assessment was completed at baseline. We have used three very different designs for three different undergraduate classes. Each course included a treatment group, using the SOCR resources, and a control group, using classical instruction techniques. Our findings include marginal effects of the SOCR treatment per individual
Hall, Megan R.; Rowell, Ginger Holmes
This paper describes 27 National Science Foundation supported grant projects that have innovations designed to improve teaching and learning in introductory statistics courses. The characteristics of these projects are compared with the six recommendations given in the "Guidelines for Assessment and Instruction in Statistics Education (GAISE)…
This paper shows how the application of simple statistical methods can reveal to students important insights from climate data. While the popular press is filled with contradictory opinions about climate science, teachers can encourage students to use introductory-level statistics to analyze data for themselves on this important issue in public…
): Search DEC D E C banner Home Â» Lands and Waters Â» Mining & Reclamation Â» Data and Statistics on New York's Mining Resources Skip to main navigation Data and Statistics on New York's Mining Resources Statistics on New York's Mining Resources: Mines in New York - Information on active mines in New York State
Leong, Wah; Eshkuvatov, Zainidin
This volume is devoted to the most recent discoveries in mathematics and statistics. It also serves as a platform for knowledge and information exchange between experts from industrial and academic sectors. The book covers a wide range of topics, including mathematical analyses, probability, statistics, algebra, geometry, mathematical physics, wave propagation, stochastic processes, ordinary and partial differential equations, boundary value problems, linear operators, cybernetics and number and functional theory. It is a valuable resource for pure and applied mathematicians, statisticians, engineers and scientists.
Models Mike West Institute of Statistics & Decision Sciences Duke University, Durham NC 27708, USA Abstract density estimation techniques. With an...ratio-of-uniforms halter, D. J., Best, N. G., McNeil, A. method. Statistics and Computing, 1, (in J., Sharples , L. D. and Kirby, A. J. press). (1992b...Dept of Act. Math & Stats Box 13040 SFA Riccarton Edinburgh, Scotland EH 14 4AS Nacognoches, TX 75962 mike @cara.ma.hw.ac.uk Allen McIntosh Michael T
The Nasa Center for Computational Sciences (NCCS) has been a leading capacity computing facility, providing a production environment and support resources to address the challenges facing the Earth and space sciences research community.
Naidu, Jaideep T.; Sanford, John F.
Standard textbooks in core Statistics and Management Science classes present various examples to introduce basic probability concepts to undergraduate business students. These include tossing of a coin, throwing a die, and examples of that nature. While these are good examples to introduce basic probability, we use improvised versions of Russian…
Imbens, Guido W.; Rubin, Donald B.
Most questions in social and biomedical sciences are causal in nature: what would happen to individuals, or to groups, if part of their environment were changed? In this groundbreaking text, two world-renowned experts present statistical methods for studying such questions. This book starts with the notion of potential outcomes, each corresponding…
Clark, James S
New statistical tools are changing the way in which scientists analyze and interpret data and models. Hierarchical Bayes and Markov Chain Monte Carlo methods for analysis provide a consistent framework for inference and prediction where information is heterogeneous and uncertain, processes are complicated, and responses depend on scale. Nowhere are these methods more promising than in the environmental sciences.
Full Text Available Ocean winds in the Baltic Sea are expected to power many wind farms in the coming years. This study examines satellite Synthetic Aperture Radar (SAR images from Envisat ASAR for mapping wind resources with high spatial resolution. Around 900 collocated pairs of wind speed from SAR wind maps and from 10 meteorological masts, established specifically for wind energy in the study area, are compared. The statistical results comparing in situ wind speed and SAR-based wind speed show a root mean square error of 1.17 m s−1, bias of −0.25 m s−1, standard deviation of 1.88 m s−1 and correlation coefficient of R2 0.783. Wind directions from a global atmospheric model, interpolated in time and space, are used as input to the geophysical model function CMOD-5 for SAR wind retrieval. Wind directions compared to mast observations show a root mean square error of 6.29° with a bias of 7.75°, standard deviation of 20.11° and R2 of 0.950. The scale and shape parameters, A and k, respectively, from the Weibull probability density function are compared at only one available mast and the results deviate ~2% for A but ~16% for k. Maps of A and k, and wind power density based on more than 1000 satellite images show wind power density values to range from 300 to 800 W m−2 for the 14 existing and 42 planned wind farms.
Wilkins, Aleeza M.; Doebrich, Jeff L.
The USGS Mineral Resources Program (MRP) delivers unbiased science and information to increase understanding of mineral resource potential, production, and consumption, and how mineral resources interact with the environment. The MRP is the Federal Government’s sole source for this mineral resource science and information. Program goals are to (1) increase understanding of mineral resource formation, (2) provide mineral resource inventories and assessments, (3) broaden knowledge of the effects of mineral resources on the environment and society, and (4) provide analysis on the availability and reliability of mineral supplies.
Kvam, Paul H
A thorough and definitive book that fully addresses traditional and modern-day topics of nonparametric statistics This book presents a practical approach to nonparametric statistical analysis and provides comprehensive coverage of both established and newly developed methods. With the use of MATLAB, the authors present information on theorems and rank tests in an applied fashion, with an emphasis on modern methods in regression and curve fitting, bootstrap confidence intervals, splines, wavelets, empirical likelihood, and goodness-of-fit testing. Nonparametric Statistics with Applications to Science and Engineering begins with succinct coverage of basic results for order statistics, methods of categorical data analysis, nonparametric regression, and curve fitting methods. The authors then focus on nonparametric procedures that are becoming more relevant to engineering researchers and practitioners. The important fundamental materials needed to effectively learn and apply the discussed methods are also provide...
T.J. Mills; T.M. Quigley; F.J. Everest
While many people interested in natural resources management propose science-based decisions, it is not clear what âscience-basedâ means. Science-based decisions are those that result from the full and complete consideration of the relevant science information. We offer five guidelines to focus the scientistâs contributions to science-based decisionmaking and use the...
Adhikari, Mahima; Chaubey, Yogendra
The book includes articles from eminent international scientists discussing a wide spectrum of topics of current importance in mathematics and statistics and their applications. It presents state-of-the-art material along with a clear and detailed review of the relevant topics and issues concerned. The topics discussed include message transmission, colouring problem, control of stochastic structures and information dynamics, image denoising, life testing and reliability, survival and frailty models, analysis of drought periods, prediction of genomic profiles, competing risks, environmental applications and chronic disease control. It is a valuable resource for researchers and practitioners in the relevant areas of mathematics and statistics.
The paper stresses the importance of training and education to the development and application of knowledge on the coastal marine environment and its resources. Present status of human resources training in India is discussed and changes...
McCurley, Kathryn L.; Jawitz, James W.
Hydrology has advanced considerably as a scientific discipline since its recognized inception in the mid-twentieth century. Modern water resource related questions have forced adaptation from exclusively physical or engineering science viewpoints toward a deliberate interdisciplinary context. Over the past few decades, many of the eventual manifestations of this evolution were foreseen by prominent expert hydrologists. However, their narrative descriptions have lacked substantial quantification. This study addressed that gap by measuring the prevalence of and analyzing the relationships between the terms most frequently used by hydrologists to define and describe their research. We analyzed 16,591 journal article titles from 1965-2015 in Water Resources Research, through which the scientific dialogue and its time-sensitive progression emerged. Our word frequency and term cooccurrence network results revealed the dynamic timing of the lateral movement of hydrology across multiple disciplines as well as the deepening of scientific discourse with respect to traditional hydrologic questions. The conversation among water resource scientists surrounding the hydrologic subdisciplines of catchment-hydrology, hydro-meteorology, socio-hydrology, hydro-climatology, and eco-hydrology gained statistically significant momentum in the analyzed time period, while that of hydro-geology and contaminant-hydrology experienced periods of increase followed by significant decline. This study concludes that formerly exotic disciplines can potentially modify hydrology, prompting new insights and inspiring unconventional perspectives on old questions that may have otherwise become obsolete.
MacFarland, Thomas W
This book contains a rich set of tools for nonparametric analyses, and the purpose of this supplemental text is to provide guidance to students and professional researchers on how R is used for nonparametric data analysis in the biological sciences: To introduce when nonparametric approaches to data analysis are appropriate To introduce the leading nonparametric tests commonly used in biostatistics and how R is used to generate appropriate statistics for each test To introduce common figures typically associated with nonparametric data analysis and how R is used to generate appropriate figures in support of each data set The book focuses on how R is used to distinguish between data that could be classified as nonparametric as opposed to data that could be classified as parametric, with both approaches to data classification covered extensively. Following an introductory lesson on nonparametric statistics for the biological sciences, the book is organized into eight self-contained lessons on various analyses a...
Legros, Florence; Perna, Cira; Sibillo, Marilena
This volume gathers selected peer-reviewed papers presented at the international conference "MAF 2016 – Mathematical and Statistical Methods for Actuarial Sciences and Finance”, held in Paris (France) at the Université Paris-Dauphine from March 30 to April 1, 2016. The contributions highlight new ideas on mathematical and statistical methods in actuarial sciences and finance. The cooperation between mathematicians and statisticians working in insurance and finance is a very fruitful field, one that yields unique theoretical models and practical applications, as well as new insights in the discussion of problems of national and international interest. This volume is addressed to academicians, researchers, Ph.D. students and professionals.
Brown , James Dean
Abstract The purpose of this review article is to survey and evaluate existing books on quantitative/statistical research in applied linguistics. The article begins by explaining the types of texts that will not be reviewed, then it briefly describes nine books that address how to do quantitative/statistical applied linguistics research. The review then compares (in prose and tables) the general characteris...
Brown, James Dean
The purpose of this review article is to survey and evaluate existing books on quantitative/statistical research in applied linguistics. The article begins by explaining the types of texts that will not be reviewed, then it briefly describes nine books that address how to do quantitative/statistical applied linguistics research. The review then…
Rosenkrantz, Walter A
Data Analysis Orientation The Role and Scope of Statistics in Science and Engineering Types of Data: Examples from Engineering, Public Health, and Finance The Frequency Distribution of a Variable Defined on a Population Quantiles of a Distribution Measures of Location (Central Value) and Variability Covariance, Correlation, and Regression: Computing a Stock's Beta Mathematical Details and Derivations Large Data Sets Probability Theory Orientation Sample Space, Events, Axioms of Probability Theory Mathematical Models of Random Sampling Conditional Probability and Baye
Mike West Institute of Statistics & Decision Sciences Duke University, Durham NC 27708, USA Abstract density estimation techniques. With an importance...in J., Sharples , L. D. and Kirby, A. J. press). (1992b) Modelling complexity: applica- Wakefield J. C., Smith, A. F. M., Racine- tions of Gibbs...Math & Stats Box 13040 SFA Riccarton Edinburgh, Scotland EH 14 4AS Nacognoches, TX 75962 mike @cara.ma.hw.ac.uk Allen McIntosh Michael T. Longnecker
Office of Personnel Management — The Enterprise Human Resources Integration-Statistical Data Mart (EHRI-SDM) is a statistically cleansed sub-set of the data contained in the EHRI data warehouse. It...
Office of Personnel Management — The Enterprise Human Resources Integration-Statistical Data Mart (EHRI-SDM) is a statistically cleansed sub-set of the data contained in the EHRI data warehouse. It...
Patricia M. Bassett; Daniel D. Oswald
This report summarizes a 1978-79 timber resource inventory of five counties in the Olympic Peninsula of Washington: Clallam, Grays Harbor, Jefferson, Mason, and Thurston. Detailed tables of forest area, timber volume, growth, mortality, and harvest are presented.
Full Text Available Statistical machine translation techniques offer great promise for the development of automatic translation systems. However, the realization of this potential requires the availability of significant amounts of parallel bilingual texts. This paper...
This resource guide is for educators who receive questions about controversial topics and want readings or websites to brush up on the facts or to recommend to students or the public. This is by no means a complete list, but a short guide of some of the key resources that may be of help. A version of this was distributed at the meeting during the oral session. Longer version of this list can be found online at education/resources/pseudobib.html'>http://www.astrosociety.org/education/resources/pseudobib.html.
Zhang, Harrison G; Ying, Gui-Shuang
The aim of this study is to evaluate the current practice of statistical analysis of eye data in clinical science papers published in British Journal of Ophthalmology ( BJO ) and to determine whether the practice of statistical analysis has improved in the past two decades. All clinical science papers (n=125) published in BJO in January-June 2017 were reviewed for their statistical analysis approaches for analysing primary ocular measure. We compared our findings to the results from a previous paper that reviewed BJO papers in 1995. Of 112 papers eligible for analysis, half of the studies analysed the data at an individual level because of the nature of observation, 16 (14%) studies analysed data from one eye only, 36 (32%) studies analysed data from both eyes at ocular level, one study (1%) analysed the overall summary of ocular finding per individual and three (3%) studies used the paired comparison. Among studies with data available from both eyes, 50 (89%) of 56 papers in 2017 did not analyse data from both eyes or ignored the intereye correlation, as compared with in 60 (90%) of 67 papers in 1995 (P=0.96). Among studies that analysed data from both eyes at an ocular level, 33 (92%) of 36 studies completely ignored the intereye correlation in 2017, as compared with in 16 (89%) of 18 studies in 1995 (P=0.40). A majority of studies did not analyse the data properly when data from both eyes were available. The practice of statistical analysis did not improve in the past two decades. Collaborative efforts should be made in the vision research community to improve the practice of statistical analysis for ocular data. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.
Pesenson, Misha Z; Suram, Santosh K; Gregoire, John M
Compositional data are ubiquitous in chemistry and materials science: analysis of elements in multicomponent systems, combinatorial problems, etc., lead to data that are non-negative and sum to a constant (for example, atomic concentrations). The constant sum constraint restricts the sampling space to a simplex instead of the usual Euclidean space. Since statistical measures such as mean and standard deviation are defined for the Euclidean space, traditional correlation studies, multivariate analysis, and hypothesis testing may lead to erroneous dependencies and incorrect inferences when applied to compositional data. Furthermore, composition measurements that are used for data analytics may not include all of the elements contained in the material; that is, the measurements may be subcompositions of a higher-dimensional parent composition. Physically meaningful statistical analysis must yield results that are invariant under the number of composition elements, requiring the application of specialized statistical tools. We present specifics and subtleties of compositional data processing through discussion of illustrative examples. We introduce basic concepts, terminology, and methods required for the analysis of compositional data and utilize them for the spatial interpolation of composition in a sputtered thin film. The results demonstrate the importance of this mathematical framework for compositional data analysis (CDA) in the fields of materials science and chemistry.
Hans T. Schreuder; Richard Ernst; Hugo Ramirez-Maldonado
We present the statistical theory of inventory and monitoring from a probabilistic point of view. We start with the basics and show the interrelationships between designs and estimators illustrating the methods with a small artificial population as well as with a mapped realistic population. For such applications, useful open source software is given in Appendix 4....
Quirk, Thomas J
This book shows how Microsoft Excel is able to teach human resource management statistics effectively. Similar to the previously published Excel 2010 for Human Resource Management Statistics, it is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical human resource management problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in human resource management courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, Excel 2013 for Human Resource Management Statistics: A Guide to Solving Practical Problems is the first book to capitalize on these improvements by teaching students and managers how to apply Excel to ...
Quirk, Thomas J
This book shows the capabilities of Microsoft Excel in teaching human resource management statistics effectively. Similar to the previously published Excel 2013 for Human Resource Management Statistics, this book is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical human resource management problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in human resource management courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, Excel 2016 for Human Resource Management Statistics: A Guide to Solving Practical Problems is the first book to capitalize on these improvements by teaching students and managers how ...
McKinley, Duncan C.; Miller-Rushing, Abe J.; Ballard, Heidi L.; Bonney, Rick; Brown, Hutch; Cook-Patton, Susan; Evans, Daniel M.; French, Rebecca A.; Parrish, Julia; Phillips, Tina B.; Ryan, Sean F.; Shanley, Lea A.; Shirk, Jennifer L.; Stepenuck, Kristine F.; Weltzin, Jake F.; Wiggins, Andrea; Boyle, Owen D.; Briggs, Russell D.; Chapin, Stuart F.; Hewitt, David A.; Preuss, Peter W.; Soukup, Michael A.
Citizen science has advanced science for hundreds of years, contributed to many peer-reviewed articles, and informed land management decisions and policies across the United States. Over the last 10 years, citizen science has grown immensely in the United States and many other countries. Here, we show how citizen science is a powerful tool for tackling many of the challenges faced in the field of conservation biology. We describe the two interwoven paths by which citizen science can improve conservation efforts, natural resource management, and environmental protection. The first path includes building scientific knowledge, while the other path involves informing policy and encouraging public action. We explore how citizen science is currently used and describe the investments needed to create a citizen science program. We find that:Citizen science already contributes substantially to many domains of science, including conservation, natural resource, and environmental science. Citizen science informs natural resource management, environmental protection, and policymaking and fosters public input and engagement.Many types of projects can benefit from citizen science, but one must be careful to match the needs for science and public involvement with the right type of citizen science project and the right method of public participation.Citizen science is a rigorous process of scientific discovery, indistinguishable from conventional science apart from the participation of volunteers. When properly designed, carried out, and evaluated, citizen science can provide sound science, efficiently generate high-quality data, and help solve problems.
Ekstrom, Claus Thorn
This text provides a computational toolbox that enables students to analyze real datasets and gain the confidence and skills to undertake more sophisticated analyses. Although accessible with any statistical software, the text encourages a reliance on R. For those new to R, an introduction to the software is available in an appendix. The book also includes end-of-chapter exercises as well as an entire chapter of case exercises that help students apply their knowledge to larger datasets and learn more about approaches specific to the life sciences.
Aleksandar Živan Drenovac
Full Text Available Normal 0 false false false MicrosoftInternetExplorer4 This paper proves that applying of statistical methods can significantly contribute increasing of products and services quality, as well as increasing of institutions rating. Determining of optimal, apropos anticipatory and limitary values, is based on sample`s statistical analyze. Control cards represent very confident instrument, which is simple for use and efficient for control of process, by which process is maintained in set borders. Thus, control cards can be applied in quality control of procesess of weapons and military equipment production, maintenance of technical systems, as well as for seting of standards and increasing of quality level for many other activities.
Willem W.S. van Hees
Statistics on forest area, total gross and net timber volumes, and annual net growth and mortality are presented from the 1976 timber inventory of the Yakataga unit, Alaska. Timberland area is estimated at 209.3 thousand acres (84.7 thousand ha), net growing stock volume at 917.1 million cubic feet (26.0 million m3), and annual net growth and...
Ilhan, Nail; Sözbilir, Mustafa; Sekerci, Ali Riza; Yildirim, Ali
Research results demonstrate that there is a gap between educational research and practice. Turkey is not an exception in this case. This study aims to examine to what extent and how educational research and resources are being followed,understood and used in classroom practices by science teachers in Turkey. A sample of 968 science teachers…
In this paper, I present a critical review of the recent book, "On Teaching the Nature of Science: Perspectives and Resources," written by Douglas Allchin (2013). This publication presents an in-depth examination of the nature of science construct, as well as instruction for educators about how to teach it effectively utilizing…
The Euler Project. Karlsruhe
The European Libraries and Electronic Resources (EULER) Project in Mathematical Sciences provides the EulerService site for searching out "mathematical resources such as books, pre-prints, web-pages, abstracts, proceedings, serials, technical reports preprints) and NetLab (for Internet resources), this outstanding engine is capable of simple, full, and refined searches. It also offers a browse option, which responds to entries in the author, keyword, and title fields. Further information about the Project is provided at the EULER homepage.
Full Text Available Background and Objectives : According to complexity of resource allocation, issue about how to allocate health care resources in an accurate and fair manner has become the subject of discussions and decisions of related groups. Therefore, in this research we aim to study the methods of financial resource allocation of Tabriz University of Medical Sciences in order to identify its strengths and weaknesses for its promotion. Material and Methods : This study is a descriptive, qualitative sectional research and all comments have been collected by focus group discussions with experts and managers involved in the allocation of financial resources of Tabriz University of Medical Sciences. All factors affecting the process of allocation have been reviewd carefully. Results : Results suggested that except the health sector, none of the other sectors use the formulated and scientific methods for allocating financial resources and despite the emphasize in the 4th development plan for operating funding, the final cost of the services, has no role in allocating financial resources. Conclusion : Regarding to judgmental and subjective method of financial resources allocation of Tabriz University of Medical Sciences and lack of documented and formulated methods, there is an essential need for developing an appropriate and formulated model for scientific allocation of financial resources in order to improve the efficiency and fairness of the allocation.
The interaction between mathematicians and statisticians working in the actuarial and financial fields is producing numerous meaningful scientific results. This volume, comprising a series of four-page papers, gathers new ideas relating to mathematical and statistical methods in the actuarial sciences and finance. The book covers a variety of topics of interest from both theoretical and applied perspectives, including: actuarial models; alternative testing approaches; behavioral finance; clustering techniques; coherent and non-coherent risk measures; credit-scoring approaches; data envelopment analysis; dynamic stochastic programming; financial contagion models; financial ratios; intelligent financial trading systems; mixture normality approaches; Monte Carlo-based methodologies; multicriteria methods; nonlinear parameter estimation techniques; nonlinear threshold models; particle swarm optimization; performance measures; portfolio optimization; pricing methods for structured and non-structured derivatives; r...
Kerkhoven, Anne H; Russo, Pedro; Land-Zandstra, Anne M; Saxena, Aayush; Rodenburg, Frans J
More men are studying and working in science fields than women. This could be an effect of the prevalence of gender stereotypes (e.g., science is for men, not for women). Aside from the media and people's social lives, such stereotypes can also occur in education. Ways in which stereotypes are visible in education include the use of gender-biased visuals, language, teaching methods, and teachers' attitudes. The goal of this study was to determine whether science education resources for primary school contained gender-biased visuals. Specifically, the total number of men and women depicted, and the profession and activity of each person in the visuals were noted. The analysis showed that there were more men than women depicted with a science profession and that more women than men were depicted as teachers. This study shows that there is a stereotypical representation of men and women in online science education resources, highlighting the changes needed to create a balanced representation of men and women. Even if the stereotypical representation of men and women in science is a true reflection of the gender distribution in science, we should aim for a more balanced representation. Such a balance is an essential first step towards showing children that both men and women can do science, which will contribute to more gender-balanced science and technology fields.
Sharma, M.; Mendoza, D.; Smith, D.; Hasan, H.
A new collaboration among the NASA Science Mission Directorate (SMD) Astrophysics EPO community is to engage girls in science who do not self-select as being interested in science, through the library setting. The collaboration seeks to (i) improve how girls view themselves as someone who knows about, uses, and sometimes contributes to science, and (ii) increase the capacity of EPO practitioners and librarians (both school and public) to engage girls in science. As part of this collaboration, we are collating the research on audience needs and best practices, and SMD EPO resources, activities and projects that focus on or can be recast toward engaging girls in science. This ASP article highlights several available resources and individual projects, such as: (i) Afterschool Universe, an out-of-school hands-on astronomy curriculum targeted at middle school students and an approved Great Science for Girls curriculum; (ii) Big Explosions and Strong Gravity, a Girl Scout patch-earning event for middle school aged girls to learn astronomy through hands-on activities and interaction with actual astronomers; and (iii) the JWST-NIRCAM Train the Trainer workshops and activities for Girl Scouts of USA leaders; etc. The NASA Astrophysics EPO community welcomes the broader EPO community to discuss with us how best to engage non-science-attentive girls in science, technology, engineering, and mathematics (STEM), and to explore further collaborations on this theme.
Frank, David G.; Wallace, Alan R.; Schneider, Jill L.
Minerals in the environment and products manufactured from mineral materials are all around us and we use and come into contact with them every day. They impact our way of life and the health of all that lives. Minerals are critical to the Nation's economy and knowing where future mineral resources will come from is important for sustaining the Nation's economy and national security. The U.S. Geological Survey (USGS) Mineral Resources Program (MRP) provides scientific information for objective resource assessments and unbiased research results on mineral resource potential, production and consumption statistics, as well as environmental consequences of mining. The MRP conducts this research to provide information needed for land planners and decisionmakers about where mineral commodities are known and suspected in the earth's crust and about the environmental consequences of extracting those commodities. As part of the MRP scientists of the Western Mineral and Environmental Resources Science Center (WMERSC or 'Center' herein) coordinate the development of national, geologic, geochemical, geophysical, and mineral-resource databases and the migration of existing databases to standard models and formats that are available to both internal and external users. The unique expertise developed by Center scientists over many decades in response to mineral-resource-related issues is now in great demand to support applications such as public health research and remediation of environmental hazards that result from mining and mining-related activities. Western Mineral and Environmental Resources Science Center Results of WMERSC research provide timely and unbiased analyses of minerals and inorganic materials to (1) improve stewardship of public lands and resources; (2) support national and international economic and security policies; (3) sustain prosperity and improve our quality of life; and (4) protect and improve public health, safety, and environmental quality. The MRP
National Center for Health Statistics (DHEW/PHS), Hyattsville, MD.
This report is a part of the program of the National Center for Health Statistics to provide current statistics as baseline data for the evaluation, planning, and administration of health programs. Part I presents data concerning the occupational fields: (1) administration, (2) anthropology and sociology, (3) data processing, (4) basic sciences,…
In this paper, I present a critical review of the recent book, On Teaching the Nature of Science: Perspectives and Resources, written by Douglas Allchin (2013). This publication presents an in-depth examination of the nature of science construct, as well as instruction for educators about how to teach it effectively utilizing historical case studies as vehicles for knowledge. Although several themes in the book merit further attention, a central issue present across all chapters is the largely masculine, monocultural nature of science presented, which is common to a multitude of scientific publications. In this review, I illustrate how culture and gender in science is not addressed throughout the book. I also discuss where we can build on the work of the author to integrate more aspects of gender and culture in teaching the nature of science.
Chambers, Joan M.
It is argued that the view of nature and the relationship between human beings and nature that each of us holds impacts our decisions, actions, and notions of environmental responsibility and consciousness. In this study, I investigate the discursive patterns of selected environmental science classroom resources produced by three disparate…
Full Text Available Introduction: Human resources development is one of the most important components of any organization and detecting important factors influencing human resources management plays an essential role in the success of the firms. In this study, we investigated different factors influencing human resources productivity of Shiraz University of Medical Sciences staff. Method: The present research was a cross-sectional study. Sample size was calculated 208 individuals. To access information about the human resource productivity, a valid and reliable questionnaire was used. The data were analyzed using SPSS software. Pearson correlation was used for statistical analysis of the data (p=0.05. Results:The results showed that there was a statistically significant relationship (p-value<0.001 between human resources productivity and factors affecting the productivity of human resources (motivational factors, leadership style, creativity and innovation, general and applied education, and competitive spirit. Motivational factors (r =0.89 and general education (r =0.65 had the most and the least effects on human resources productivity. Conclusion: Considering the fact that motivational factors were the most effective factors on human resource productivity, we recommend that managers should care more than before about this factor; also, in order to motivate the employees, they should consider the staff’s individual differences.
Toll, David; Doorn, Bradley; Engman, Edwin
The NASA Applied Sciences Program works within NASA Earth sciences to leverage investment of satellite and information systems to increase the benefits to society through the widest practical use of NASA research results. Such observations provide a huge volume of valuable data in both near-real-time and extended back nearly 50 years about the Earth's land surface conditions such as land cover type, vegetation type and health, precipitation, snow, soil moisture, and water levels and radiation. Observations of this type combined with models and analysis enable satellite-based assessment of numerous water resources management activities. The primary goal of the Earth Science Applied Science Program is to improve future and current operational systems by infusing them with scientific knowledge of the Earth system gained through space-based observation, model results, and development and deployment of enabling technologies, systems, and capabilities. Water resources is one of eight elements in the Applied Sciences Program and it addresses concerns and decision making related to water quantity and water quality. With increasing population pressure and water usage coupled with climate variability and change, water issues are being reported by numerous groups as the most critical environmental problems facing us in the 21st century. Competitive uses and the prevalence of river basins and aquifers that extend across boundaries engender political tensions between communities, stakeholders and countries. Mitigating these conflicts and meeting water demands requires using existing resources more efficiently. The potential crises and conflicts arise when water is competed among multiple uses. For example, urban areas, environmental and recreational uses, agriculture, and energy production compete for scarce resources, not only in the Western U.S. but throughout much of the U.S. but also in many parts of the world. In addition to water availability issues, water quality related
Mercer-Mapstone, Lucy; Kuchel, Louise
Science communication is a diverse and transdisciplinary field and is taught most effectively when the skills involved are tailored to specific educational contexts. Few academic resources exist to guide the teaching of communication with non-scientific audiences for an undergraduate science context. This mixed methods study aimed to explore what…
Monnet, A.; Gabriel, S.; Percebois, J.
Most recent studies on the long-term supply of uranium make simplistic assumptions on the available resources and their production costs. Some consider the whole uranium quantities in the Earth's crust and then estimate the production costs based on the ore grade only, disregarding the size of ore bodies and the mining techniques. Other studies consider the resources reported by countries for a given cost category, disregarding undiscovered or unreported quantities. In both cases, the resource estimations are sorted following a cost merit order. In this paper, we describe a methodology based on 'geological environments'. It provides a more detailed resource estimation and it is more flexible regarding cost modelling. The global uranium resource estimation introduced in this paper results from the sum of independent resource estimations from different geological environments. A geological environment is defined by its own geographical boundaries, resource dispersion (average grade and size of ore bodies and their variance), and cost function. With this definition, uranium resources are considered within ore bodies. The deposit breakdown of resources is modelled using a bivariate statistical approach where size and grade are the two random variables. This makes resource estimates possible for individual projects. Adding up all geological environments provides a distribution of all Earth's crust resources in which ore bodies are sorted by size and grade. This subset-based estimation is convenient to model specific cost structures. (authors)
Wells, Dominic D.; Nemire, Nathan A.
This exercise introduces students to the application of statistics and its investigative methods in political science. It helps students gain a better understanding and a greater appreciation of statistics through a real world application.
In this age of rapid information expansion and technology, statistics is playing an ever increasing role in education, particularly also in the training of social scientists. Statistics enables the social scientist to obtain a quantitative awareness of socioeconomic phenomena hence is essential in their training. Statistics, however ...
... medical researcher in selecting the appropriate statistical techniques. Of course, all statistical techniques have certain underlying assumptions, which must be checked before the technique is applied. Keywords: Variable, Prospective Studies, Retrospective Studies, Statistical significance. Bio-Research Vol. 6 (1) 2008: pp.
Quirk, Thomas J
This is the first book to show the capabilities of Microsoft Excel to teach human resource management statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical human resource management problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in human resource management courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, Excel 2010 for Human Resource Management Statistics: A Guide to Solving Practical Problems is the first book to capitalize on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and ...
Quirk, Thomas J; Horton, Howard F
This book shows the capabilities of Microsoft Excel in teaching physical sciences statistics effectively. Similar to the previously published Excel 2010 for Physical Sciences Statistics, this book is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical science problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in science courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, Excel 2013 for Physical Sciences Statistics: A Guide to Solving Practical Problems is the first book to capitalize on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their ...
Quirk, Thomas J
This book shows the capabilities of Microsoft Excel in teaching social science statistics effectively. Similar to the previously published Excel 2013 for Social Sciences Statistics, this book is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical social science problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in social science courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, Excel 2016 for Social Science Statistics: A Guide to Solving Practical Problems is the first book to capitalize on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in ...
National Aeronautics and Space Administration — We contend that Earth science metadata assets are dark resources, information resources that organizations collect, process, and store for regular business or...
Probability and Statistics, Revised Edition deals with the history of probability, describing the modern concept of randomness and examining "pre-probabilistic" ideas of what most people today would characterize as randomness. This revised book documents some historically important early uses of probability to illustrate some very important probabilistic questions. It goes on to explore statistics and the generations of mathematicians and non-mathematicians who began to address problems in statistical analysis, including the statistical structure of data sets as well as the theory of
Andrew N. Gray; Charles F. Veneklase; Robert D. Rhoads
This report is a summary of timber resource statistics for an inventory of the 19 counties in western Washington: Clallam, Clark, Cowlitz, Grays Harbor, Island, Jefferson, King, Kitsap, Lewis, Mason, Pacific, Pierce, San Juan, Skagit, Skamania, Snohomish, Thurston, Wahkiakum, and Whatcom. The inventory in 2000 sampled all private and public lands except those...
Kalogo, Y; Monteith, H [Hydromantis Inc., Hamilton, ON (Canada)
There is general consensus among sanitary engineering professionals that municipal wastewater and wastewater sludge is not a 'waste', but a potential source of valuable resources. The subject is a major interest to the members of the Global Water Research Coalition (GWRC). The GWRC is therefore preparing a strategic research plan related to energy and resource recovery from wastewater sludge. The initial focus of the strategy will be on sewage sludge as water reuse aspects have been part of earlier studies. The plan will define new research orientations for deeper investigation. The current state of science (SoS) Report was prepared as the preliminary phase of GWRC's future strategic research plan on energy and resource recovery from sludge.
Kalogo, Y.; Monteith, H. [Hydromantis Inc., Hamilton, ON (Canada)
There is general consensus among sanitary engineering professionals that municipal wastewater and wastewater sludge is not a 'waste', but a potential source of valuable resources. The subject is a major interest to the members of the Global Water Research Coalition (GWRC). The GWRC is therefore preparing a strategic research plan related to energy and resource recovery from wastewater sludge. The initial focus of the strategy will be on sewage sludge as water reuse aspects have been part of earlier studies. The plan will define new research orientations for deeper investigation. The current state of science (SoS) Report was prepared as the preliminary phase of GWRC's future strategic research plan on energy and resource recovery from sludge.
Ratliff, Michael I.; Williams, Raymond E.
Recently there has been increased interest related to the Actuarial Science field. An actuary is a business professional who uses mathematical skills to define, analyze, and solve financial and social problems. This paper examines: (1) the interface between Statistical and Actuarial Science training; (2) statistical courses corresponding to…
Agronomic and Environmental research experiments result in data that are analyzed using statistical methods. These data are unavoidably accompanied by uncertainty. Decisions about hypotheses, based on statistical analyses of these data are therefore subject to error. This error is of three types,...
Veldkamp, C.L.S.; Nuijten, M.B.; Dominguez Alvarez, L.; van Assen, M.A.L.M.; Wicherts, J.M.
Statistical analysis is error prone. A best practice for researchers using statistics would therefore be to share data among co-authors, allowing double-checking of executed tasks just as co-pilots do in aviation. To document the extent to which this ‘co-piloting’ currently occurs in psychology, we
Advani, Madhu; Bunin, Guy; Mehta, Pankaj
A central question in ecology is to understand the ecological processes that shape community structure. Niche-based theories have emphasized the important role played by competition for maintaining species diversity. Many of these insights have been derived using MacArthur’s consumer resource model (MCRM) or its generalizations. Most theoretical work on the MCRM has focused on small ecosystems with a few species and resources. However theoretical insights derived from small ecosystems many not scale up to large ecosystems with many resources and species because large systems with many interacting components often display new emergent behaviors that cannot be understood or deduced from analyzing smaller systems. To address these shortcomings, we develop a statistical physics inspired cavity method to analyze MCRM when both the number of species and the number of resources is large. Unlike previous work in this limit, our theory addresses resource dynamics and resource depletion and demonstrates that species generically and consistently perturb their environments and significantly modify available ecological niches. We show how our cavity approach naturally generalizes niche theory to large ecosystems by accounting for the effect of collective phenomena on species invasion and ecological stability. Our theory suggests that such phenomena are a generic feature of large, natural ecosystems and must be taken into account when analyzing and interpreting community structure. It also highlights the important role that statistical-physics inspired approaches can play in furthering our understanding of ecology.
Fabbri, A; Sinding-Larsen, R
This volume contains the edited papers prepared by lecturers and participants of the NATO Advanced Study Institute on "Statistical Treatments for Estimation of Mineral and Energy Resources" held at II Ciocco (Lucca), Italy, June 22 - July 4, 1986. During the past twenty years, tremendous efforts have been made to acquire quantitative geoscience information from ore deposits, geochemical, geophys ical and remotely-sensed measurements. In October 1981, a two-day symposium on "Quantitative Resource Evaluation" and a three-day workshop on "Interactive Systems for Multivariate Analysis and Image Processing for Resource Evaluation" were held in Ottawa, jointly sponsored by the Geological Survey of Canada, the International Association for Mathematical Geology, and the International Geological Correlation Programme. Thirty scientists from different countries in Europe and North America were invited to form a forum for the discussion of quantitative methods for mineral and energy resource assessment. Since then, not ...
Shaffer, Kimberly; Kula, Stephanie; Bambach, Phil; Runkle, Donna
Ohio’s water resources support a complex web of human activities and nature—clean and abundant water is needed for drinking, recreation, farming, and industry, as well as for fish and wildlife needs. The distribution of rainfall can cause floods and droughts, which affects streamflow, groundwater, water availability, water quality, recreation, and aquatic habitats. Ohio is bordered by the Ohio River and Lake Erie and has over 44,000 miles of streams and more than 60,000 lakes and ponds (State of Ohio, 1994). Nearly all the rural population obtain drinking water from groundwater sources. The U.S. Geological Survey (USGS) works in cooperation with local, State, and other Federal agencies, as well as universities, to furnish decisionmakers, policymakers, USGS scientists, and the general public with reliable scientific information and tools to assist them in management, stewardship, and use of Ohio’s natural resources. The diversity of scientific expertise among USGS personnel enables them to carry out large- and small-scale multidisciplinary studies. The USGS is unique among government organizations because it has neither regulatory nor developmental authority—its sole product is reliable, impartial, credible, relevant, and timely scientific information, equally accessible and available to everyone. The USGS Ohio Water Science Center provides reliable hydrologic and water-related ecological information to aid in the understanding of use and management of the Nation’s water resources, in general, and Ohio’s water resources, in particular. This fact sheet provides an overview of current (2012) or recently completed USGS studies and data activities pertaining to water resources in Ohio. More information regarding projects of the USGS Ohio Water Science Center is available at http://oh.water.usgs.gov/.
Veldkamp, Coosje L S; Nuijten, Michèle B; Dominguez-Alvarez, Linda; van Assen, Marcel A L M; Wicherts, Jelte M
Statistical analysis is error prone. A best practice for researchers using statistics would therefore be to share data among co-authors, allowing double-checking of executed tasks just as co-pilots do in aviation. To document the extent to which this 'co-piloting' currently occurs in psychology, we surveyed the authors of 697 articles published in six top psychology journals and asked them whether they had collaborated on four aspects of analyzing data and reporting results, and whether the described data had been shared between the authors. We acquired responses for 49.6% of the articles and found that co-piloting on statistical analysis and reporting results is quite uncommon among psychologists, while data sharing among co-authors seems reasonably but not completely standard. We then used an automated procedure to study the prevalence of statistical reporting errors in the articles in our sample and examined the relationship between reporting errors and co-piloting. Overall, 63% of the articles contained at least one p-value that was inconsistent with the reported test statistic and the accompanying degrees of freedom, and 20% of the articles contained at least one p-value that was inconsistent to such a degree that it may have affected decisions about statistical significance. Overall, the probability that a given p-value was inconsistent was over 10%. Co-piloting was not found to be associated with reporting errors.
This textbook teaches crucial statistical methods to answer research questions using a unique range of statistical software programs, including MINITAB and R. This textbook is developed for undergraduate students in agriculture, nursing, biology and biomedical research. Graduate students will also find it to be a useful way to refresh their statistics skills and to reference software options. The unique combination of examples is approached using MINITAB and R for their individual strengths. Subjects covered include among others data description, probability distributions, experimental design, regression analysis, randomized design and biological assay. Unlike other biostatistics textbooks, this text also includes outliers, influential observations in regression and an introduction to survival analysis. Material is taken from the author's extensive teaching and research in Africa, USA and the UK. Sample problems, references and electronic supplementary material accompany each chapter.
Johnson, Diane Wynn
The United States Bureau of Labor Statistics (2010) expects new industries to generate approximately 2.7 million jobs in science and technology by the year 2018, and there is concern as to whether there will be enough trained individuals to fill these positions. A tremendous resource remains untapped, African American students, especially African American males (National Science Foundation, 2009). Historically, African American males have been omitted from the so called science pipeline. Fewer African American males pursue a science discipline due, in part; to limiting factors they experience in school and at home (Ogbu, 2004). This is a case study of African American males who are enrolled in advanced science courses at a predominantly African American (84%) urban high school. Guided by expectancy-value theory (EVT) of achievement related results (Eccles, 2009; Eccles et al., 1983), twelve African American male students in two advanced science courses were observed in their science classrooms weekly, participated in an in-depth interview, developed a presentation to share with students enrolled in a tenth grade science course, responded to an open-ended identity questionnaire, and were surveyed about their perceptions of school. Additionally, the students' teachers were interviewed, and seven of the students' parents. The interview data analyses highlighted the important role of supportive parents (key socializers) who had high expectations for their sons and who pushed them academically. The students clearly attributed their enrollment in advanced science courses to their high regard for their science teachers, which included positive relationships, hands-on learning in class, and an inviting and encouraging learning environment. Additionally, other family members and coaches played important roles in these young men's lives. Students' PowerPoint(c) presentations to younger high school students on why they should take advanced science courses highlighted these
Science World Journal. Journal Home · ABOUT THIS JOURNAL · Advanced Search · Current Issue · Archives · Journal Home > Vol 2, No 1 (2007) >. Log in or Register to get access to full text downloads. Username, Password, Remember me, or Register · Download this PDF file. The PDF file you selected should load here ...
Contucci, P.; Giardinà, C.
Is modern science able to study social matters like those related to immigration phenomena on solid mathematical grounds? Can we for instance determine cultural robustness and the causes behind abrupt changes from cultural legacies? Can we predict, cause or avoid swings? A novel approach is under
Somerville, R. C. J.
The 2014 Third National Climate Assessment (NCA3) is scientifically authoritative and features major advances, relative to other assessments produced by several organizations. NCA3 is a valuable resource for communicating climate science to a wide variety of audiences. Other assessments were often overly detailed and laden with scientific jargon that made them appear too complex and technical to many in their intended audiences, especially policymakers, the media, and the broad public. Some other assessments emphasized extensive scientific caveats, quantitative uncertainty estimates and broad consensus support. All these attributes, while valuable in research, carry the risk of impeding science communication to non-specialists. Without compromising scientific accuracy and integrity, NCA3 is written in exceptionally clear and vivid English. It includes outstanding graphics and employs powerful techniques aimed at conveying key results unambiguously to a wide range of audiences. I have used NCA3 as a resource in speaking about climate change in three very different settings: classroom teaching for undergraduate university students, presenting in academia to historians and other non-scientists, and briefing corporate executives working on renewable energy. NCA3 proved the value of developing a climate assessment with communication goals and strategies given a high priority throughout the process, not added on as an afterthought. I draw several lessons. First, producing an outstanding scientific assessment is too complex and demanding a task to be carried out by scientists alone. Many types of specialized expertise are also needed. Second, speaking about science to a variety of audiences requires an assortment of communication skills and tools, all tailored to specific groups of listeners. Third, NCA3 is scientifically impeccable and is also an outstanding example of effective communication as well as a valuable resource for communicators.
Many of us who do public programs for the International Year of Astronomy are likely to meet people who have questions or want to challenge us about pseudo-scientific topics related to astronomy. Perhaps they have heard about the claim that the moon landings were a hoax, or have seen a light in the sky which puzzled them. Even those of us who have extensive training in astronomy often are not prepared for tackling such questions. To deal with such situations, here is a concise guide to printed and web resources that offer rational examination of some of these ``fiction science'' claims. This is not a complete list, but a ``first defense'' for beginners. A fuller version can be found at: http://www.astrosociety.org/education/resources/pseudobib.html
Prior, Fred W; Clark, Ken; Commean, Paul; Freymann, John; Jaffe, Carl; Kirby, Justin; Moore, Stephen; Smith, Kirk; Tarbox, Lawrence; Vendt, Bruce; Marquez, Guillermo
Reusable, publicly available data is a pillar of open science. The Cancer Imaging Archive (TCIA) is an open image archive service supporting cancer research. TCIA collects, de-identifies, curates and manages rich collections of oncology image data. Image data sets have been contributed by 28 institutions and additional image collections are underway. Since June of 2011, more than 2,000 users have registered to search and access data from this freely available resource. TCIA encourages and supports cancer-related open science communities by hosting and managing the image archive, providing project wiki space and searchable metadata repositories. The success of TCIA is measured by the number of active research projects it enables (>40) and the number of scientific publications and presentations that are produced using data from TCIA collections (39).
Barlow, Roger J
The Manchester Physics Series General Editors: D. J. Sandiford; F. Mandl; A. C. Phillips Department of Physics and Astronomy, University of Manchester Properties of Matter B. H. Flowers and E. Mendoza Optics Second Edition F. G. Smith and J. H. Thomson Statistical Physics Second Edition F. Mandl Electromagnetism Second Edition I. S. Grant and W. R. Phillips Statistics R. J. Barlow Solid State Physics Second Edition J. R. Hook and H. E. Hall Quantum Mechanics F. Mandl Particle Physics Second Edition B. R. Martin and G. Shaw The Physics of Stars Second Edition A.C. Phillips Computing for Scienti
Quirk, Thomas J; Horton, Howard F
This book is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical biological and life science problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel is an effective learning tool for quantitative analyses in biological and life sciences courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, Excel 2016 for Biological and Life Sciences Statistics: A Guide to Solving Practical Problems is the first book to capitalize on these improvements by teaching students and managers how to apply Excel 2016 to statistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand biological and life science problems. Practice problems are provided...
Quirk, Thomas J; Horton, Howard F
This book is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical physical science problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel is an effective learning tool for quantitative analyses in environmental science courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, Excel 2016 for Physical Sciences Statistics: A Guide to Solving Practical Problems is the first book to capitalize on these improvements by teaching students and managers how to apply Excel 2016 to statistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand physical science problems. Practice problems are provided at the end of each chapter with their s...
Quirk, Thomas J; Horton, Howard F
This book is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical environmental science problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel is an effective learning tool for quantitative analyses in environmental science courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, Excel 2016 for Environmental Science Statistics: A Guide to Solving Practical Problems is the first book to capitalize on these improvements by teaching students and managers how to apply Excel 2016 to statistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand environmental science problems. Practice problems are provided at the end of each chapte...
Yates, Kimberly K.; Greening, Holly; Morrison, Gerold
Tampa Bay is recognized internationally for its remarkable progress towards recovery since it was pronounced "dead" in the late 1970s. Due to significant efforts by local governments, industries and private citizens throughout the watershed, water clarity in Tampa Bay is now equal to what it was in 1950, when population in the watershed was less than one-quarter of what it is today. Seagrass extent has increased by more than 8,000 acres since the mid-1980s, and fish and wildlife populations are increasing. Central to this successful turn-around has been the Tampa Bay resource management community's long-term commitment to development and implementation of strong science-based management strategies. Research institutions and agencies, including Eckerd College, the Florida Wildlife Commission Fish and Wildlife Research Institute, Mote Marine Laboratory, National Oceanic and Atmospheric Administration, the Southwest Florida Water Management District, University of South Florida, U.S. Environmental Protection Agency, U.S. Geological Survey, local and State governments, and private companies contribute significantly to the scientific basis of our understanding of Tampa Bay's structure and ecological function. Resource management agencies, including the Tampa Bay Regional Planning Council's Agency on Bay Management, the Southwest Florida Water Management District's Surface Water Improvement and Management Program, and the Tampa Bay Estuary Program, depend upon this scientific basis to develop and implement regional adaptive management programs. The importance of integrating science with management has become fully recognized by scientists and managers throughout the region, State and Nation. Scientific studies conducted in Tampa Bay over the past 10–15 years are increasingly diverse and complex, and resource management programs reflect our increased knowledge of geology, hydrology and hydrodynamics, ecology and restoration techniques. However, a synthesis of this
Ellis, Jonathan Richard
As a large international research laboratory, CERN feels it has a special responsibility for outreach, and has many activities directed towards schools, including organized visits, an on-site museum, hands-on experiments, a Summer intern programme for high-school teachers, lecture series and webcasts. Ongoing activities and future plans are reviewed, and some ideas stimulated by this workshop are offered concerning the relevance of CERN's experience to Asia, and the particular contribution that CERN can make as a non-school resource for science education.
The purpose of this study was twofold. First, it identified the priority needs common to all science teachers in secondary schools in Kumasi, Ghana. Second, it investigated the relationship existing between the identified priority needs and the teacher demographic variables (type of school, teacher qualification, teaching experience, subject discipline, and sex of teacher) to be used as a basis for implementing in-service education training programs at the Science Resource Centers in Kumasi Ghana. An adapted version of the Moore Assessment Profile (MAP) survey instrument and a set of open-ended questions were used to collect data from the science teachers. The researcher handed out one hundred and fifty questionnaire packets, and all one hundred and fifty (100%) were collected within a period of six weeks. The data were analyzed using descriptive statistics, content analysis, and inferential statistics. The descriptive statistics reported the frequency of responses, and it was used to calculate the Need Index (N) of the identified needs of teachers. Sixteen top-priority needs were identified, and the needs were arranged in a hierarchical order according to the magnitude of the Need Index (0.000 ≤ N ≤ 1.000). Content analysis was used to analyze the responses to the open-ended questions. One-way analysis of variance (ANOVA) was used to test the null hypotheses of the study on each of the sixteen identified top-priority needs and the teacher demographic variables. The findings of this study were as follows: (1) The science teachers identified needs related to "more effective use of instructional materials" as a crucial area for in-service training. (2) Host and Satellite schools exhibited significant difference on procuring supplementary science books for students. Subject discipline of teachers exhibited significant differences on utilizing the library and its facilities by students, obtaining information on where to get help on effective science teaching
Agronomic research often involves measurement and collection of multiple response variables in an effort to understand the more complex nature of the system being studied. Multivariate statistical methods encompass the simultaneous analysis of all random variables measured on each experimental or s...
Caron, L.; Ivins, E. R.; Larour, E.; Adhikari, S.; Nilsson, J.; Blewitt, G.
We provide a new analysis of glacial isostatic adjustment (GIA) with the goal of assembling the model uncertainty statistics required for rigorously extracting trends in surface mass from the Gravity Recovery and Climate Experiment (GRACE) mission. Such statistics are essential for deciphering sea level, ocean mass, and hydrological changes because the latter signals can be relatively small (≤2 mm/yr water height equivalent) over very large regions, such as major ocean basins and watersheds. With abundant new >7 year continuous measurements of vertical land motion (VLM) reported by Global Positioning System stations on bedrock and new relative sea level records, our new statistical evaluation of GIA uncertainties incorporates Bayesian methodologies. A unique aspect of the method is that both the ice history and 1-D Earth structure vary through a total of 128,000 forward models. We find that best fit models poorly capture the statistical inferences needed to correctly invert for lower mantle viscosity and that GIA uncertainty exceeds the uncertainty ascribed to trends from 14 years of GRACE data in polar regions.
Dunagan, S.; Fladeland, M.; Ippolito, C.; Knudson, M.
NASA Ames Research Center has led a number of important Earth science remote sensing missions including several directed at the assessment of natural resources. A key asset for accessing high risk airspace has been the 180 kg class SIERRA UAS platform, providing mission durations of up to 8 hrs at altitudes up to 3 km. Recent improvements to this mission capability are embodied in the incipient SIERRA-B variant. Two resource mapping problems having unusual mission characteristics requiring a mission adaptive capability are explored here. One example involves the requirement for careful control over solar angle geometry for passive reflectance measurements. This challenges the management of resources in the coastal ocean where solar angle combines with sea state to produce surface glint that can obscure the ocean color signal. Furthermore, as for all scanning imager applications, the primary flight control priority to fly the UAS directly to the next waypoint should compromise with the requirement to minimize roll and crab effects in the imagery. A second example involves the mapping of natural resources in the Earth's crust using precision magnetometry. In this case the vehicle flight path must be oriented to optimize magnetic flux gradients over a spatial domain having continually emerging features, while optimizing the efficiency of the spatial mapping task. These requirements were highlighted in several recent Earth Science missions including the October 2013 OCEANIA mission directed at improving the capability for hyperspectral reflectance measurements in the coastal ocean, and the Surprise Valley Mission directed at mapping sub-surface mineral composition and faults, using high-sensitivity magentometry. This paper reports the development of specific aircraft control approaches to incorporate the unusual and demanding requirements to manage solar angle, aircraft attitude and flight path orientation, and efficient (directly geo-rectified) surface and sub
Full Text Available Today, flexibility has turned to one of important issues in management theories and policies and most current discussions about flexibility patterns focus on management policies, so that these patterns are one of important aspects of human resources strategic management. This study was performed with the aim of assessing the flexibility rate of human resources and performance indexes of Tehran Medical Sciences University hospitals and determining the possible relation between these variables. The present study is descriptive – analytical which was conducted in cross-sectional form in 2015. The statistical population was selected by stratifies random sampling method as 317 persons from nursing, administrative and financial personnel of 5 hospitals of Tehran Medical Sciences University. Data collecting toll was hospitals performance indexes form and Wright & Snell flexibility questionnaire of human resources. Data analysis was performed using SPSS 18 software and with the aid of descriptive statistical indexes and linear regression analysis. The results showed that personnel ( human resources had high flexibility = 4.16.\tthere was a significant relation between total flexibility and the index of bed circulation so that by one unit increase in bed circulation space, normally, the average of total flexibility decreased 0.64 units ( p-value<0.05. The results showed that human resources of Tehran Medical Sciences University hospitals have high flexibility, so authorities and policy makers are suggested to adopt policies of human resources management for creating flexibility in human resources and improving hospitals performance and amending hospitals status.
"This is a great book for social science students. Clearly written, with many examples, Garner certainly makes learning and teaching introductory statistics a joy!" - Nikolaos Liodakis, Wilfrid Laurier University.
Presentation will be for a general audience and focus on plant science and ecosystem science in NASA. Examples from the projects involving the presenter will be used to illustrate. Specifically, the California Sacramento-San Joaquin River Delta project. This collaboration supports the goals of the Delta Plan in developing science-based, adaptive-management strategies. The mission is to improve reliability of water supply and restore a healthy Delta ecosystem while enhancing agriculture and recreation. NASA can contribute gap-filling science understanding of overall functions in the Delta ecosystem and assess and help develop management plans for specific issues. Airborne and satellite remote-sensing, ecosystem modeling, and biological studies provide underlying data needed by Delta stakeholders to assess and address water, ecosystem restoration, and environmental and economic impacts of potential actions in the Delta. The California Sacramento-San Joaquin River Delta, the hub for California's water supply, supports important ecosystem services for fisheries, supplies drinking water for millions, and distributes water from Northern California to agriculture and urban communities to the south; millions of people and businesses depend on Delta water. Decades of competing demands for Delta resources and year-to-year variability in precipitation has resulted in diminished overall health of the Delta. Declines in fish populations, threatened ecosystems, endangered species, invasive plants and animals, cuts in agricultural exports, and increased water conservation is the result. NASA and the USDA, building on previous collaborations, aide local Delta stakeholders in assessing and developing an invasive weed management approach. Aquatic, terrestrial, and riparian invasive weeds threaten aquatic and terrestrial ecosystem restoration efforts. Aquatic weeds are currently detrimental economically, environmentally, and sociologically in the Delta. They negatively impact the
Hayslett, H T
Statistics covers the basic principles of Statistics. The book starts by tackling the importance and the two kinds of statistics; the presentation of sample data; the definition, illustration and explanation of several measures of location; and the measures of variation. The text then discusses elementary probability, the normal distribution and the normal approximation to the binomial. Testing of statistical hypotheses and tests of hypotheses about the theoretical proportion of successes in a binomial population and about the theoretical mean of a normal population are explained. The text the
Dunn, Dana S., Ed.; Smith, Randolph A., Ed.; Beins, Barney, Ed.
This book provides a showcase for "best practices" in teaching statistics and research methods in two- and four-year colleges and universities. A helpful resource for teaching introductory, intermediate, and advanced statistics and/or methods, the book features coverage of: (1) ways to integrate these courses; (2) how to promote ethical conduct;…
This report examines four UNESCO pilot projects undertaken in 1972 in Brazil, Colombia, Peru, and Uruguay to study the methods used for national statistical surveys of science and technology. The projects specifically addressed the problems of comparing statistics gathered by different methods in different countries. Surveys carried out in Latin…
Petersen, Alexander M.
This thesis applies statistical physics concepts and methods to quantitatively analyze socioeconomic systems. For each system we combine theoretical models and empirical data analysis in order to better understand the real-world system in relation to the complex interactions between the underlying human agents. This thesis is separated into three parts: (i) response dynamics in financial markets, (ii) dynamics of career trajectories, and (iii) a stochastic opinion model with quenched disorder. In Part I we quantify the response of U.S. markets to financial shocks, which perturb markets and trigger "herding behavior" among traders. We use concepts from earthquake physics to quantify the decay of volatility shocks after the "main shock." We also find, surprisingly, that we can make quantitative statements even before the main shock. In order to analyze market behavior before as well as after "anticipated news" we use Federal Reserve interest-rate announcements, which are regular events that are also scheduled in advance. In Part II we analyze the statistical physics of career longevity. We construct a stochastic model for career progress which has two main ingredients: (a) random forward progress in the career and (b) random termination of the career. We incorporate the rich-get-richer (Matthew) effect into ingredient (a), meaning that it is easier to move forward in the career the farther along one is in the career. We verify the model predictions analyzing data on 400,000 scientific careers and 20,000 professional sports careers. Our model highlights the importance of early career development, showing that many careers are stunted by the relative disadvantage associated with inexperience. In Part III we analyze a stochastic two-state spin model which represents a system of voters embedded on a network. We investigate the role in consensus formation of "zealots", which are agents with time-independent opinion. Our main result is the unexpected finding that it is the
... Climate Change and Natural Resource Science AGENCY: U.S. Geological Survey, Interior. ACTION: Meeting.... 2, we announce that the Advisory Committee on Climate Change and Natural Resource Science will hold... Partnership Coordinator, National Climate Change and Wildlife Science Center, U.S. Geological Survey, 12201...
... Change and Natural Resource Science AGENCY: U.S. Geological Survey, Interior. ACTION: Meeting notice... announce that the Advisory Committee on Climate Change and Natural Resource Science will hold a meeting..., National Climate Change and Wildlife Science Center, U.S. Geological Survey, 12201 Sunrise Valley Drive...
... engagement of key partners at the regional Climate Science Center level. Advise on the nature and... Change and Natural Resource Science AGENCY: U.S. Geological Survey, Interior. ACTION: Notice of... seeking nominations for the Advisory Committee on Climate Change and Natural Resource Science (Committee...
Toga, Arthur W.; Foster, Ian; Kesselman, Carl; Madduri, Ravi; Chard, Kyle; Deutsch, Eric W.; Price, Nathan D.; Glusman, Gustavo; Heavner, Benjamin D.; Dinov, Ivo D.; Ames, Joseph; Van Horn, John; Kramer, Roger; Hood, Leroy
Modern biomedical data collection is generating exponentially more data in a multitude of formats. This flood of complex data poses significant opportunities to discover and understand the critical interplay among such diverse domains as genomics, proteomics, metabolomics, and phenomics, including imaging, biometrics, and clinical data. The Big Data for Discovery Science Center is taking an “-ome to home” approach to discover linkages between these disparate data sources by mining existing databases of proteomic and genomic data, brain images, and clinical assessments. In support of this work, the authors developed new technological capabilities that make it easy for researchers to manage, aggregate, manipulate, integrate, and model large amounts of distributed data. Guided by biological domain expertise, the Center’s computational resources and software will reveal relationships and patterns, aiding researchers in identifying biomarkers for the most confounding conditions and diseases, such as Parkinson’s and Alzheimer’s.
Chakraborti, Anirban; Challet, Damien; Chatterjee, Arnab; Marsili, Matteo; Zhang, Yi-Cheng; Chakrabarti, Bikas K.
Demand outstrips available resources in most situations, which gives rise to competition, interaction and learning. In this article, we review a broad spectrum of multi-agent models of competition (El Farol Bar problem, Minority Game, Kolkata Paise Restaurant problem, Stable marriage problem, Parking space problem and others) and the methods used to understand them analytically. We emphasize the power of concepts and tools from statistical mechanics to understand and explain fully collective phenomena such as phase transitions and long memory, and the mapping between agent heterogeneity and physical disorder. As these methods can be applied to any large-scale model of competitive resource allocation made up of heterogeneous adaptive agent with non-linear interaction, they provide a prospective unifying paradigm for many scientific disciplines.
Beyth, M.; McInteer, C.; Broxton, D.E.; Bolivar, S.L.; Luke, M.E.
Multivariate statistical analyses were carried out on Hydrogeochemical and Stream Sediment Reconnaissance data from the Craig quadrangle, Colorado, to support the National Uranium Resource Evaluation and to evaluate strategic or other important commercial mineral resources. A few areas for favorable uranium mineralization are suggested for parts of the Wyoming Basin, Park Range, and Gore Range. Six potential source rocks for uranium are postulated based on factor score mapping. Vanadium in stream sediments is suggested as a pathfinder for carnotite-type mineralization. A probable northwest trend of lead-zinc-copper mineralization associated with Tertiary intrusions is suggested. A few locations are mapped where copper is associated with cobalt. Concentrations of placer sands containing rare earth elements, probably of commercial value, are indicated for parts of the Sand Wash Basin
McCurley, K. 4553; Jawitz, J. W.
Hydrology has advanced considerably as a scientific discipline since its recognized inception in the mid-20th century. While hydrology may have evolved from the singular viewpoint of a more rigid physical or engineering science, modern water resource related questions have forced adaptation toward a deliberate interdisciplinary context. Over the past few decades, many of the eventual manifestations of this evolution have been foreseen by prominent expert hydrologists, though their narrative descriptions were not substantially quantified. This study addresses that gap by directly measuring and inspecting the words that hydrologists use to define and describe their research endeavors. We analyzed 16,591 journal article titles from 1965-2015 in Water Resources Research, through which the scientific dialogue and its time-sensitive progression emerges. Word frequency and term concurrence reveal the dynamic timing of the lateral movement of hydrology across multiple disciplines and a deepening of scientific discourse with respect to traditional hydrologic questions. This study concludes that formerly exotic disciplines are increasingly modifying hydrology, prompting new insights as well as inspiring unconventional perspectives on old questions.
Falco, James W.
Heritage College, located on the Yakama Indian Reservation in south central Washington state, serves a multicultural, underserved, rural population and trains teachers to staff the disadvantaged school districts on and surrounding the reservation. In-service teachers and pre-service teachers in the area show strength in biology but have weak backgrounds in chemistry and mathematics. We are addressing this problem by providing a 2-year core of courses for 3 groups of 25 students (15 pre-service and 10 in-service teachers) using GLOBE to teach integrated physical science and mathematics. At the conclusion of the program, the students will qualify for science certification by Washington State. Water resources are the focal point of the curriculum because it is central to life in our desert area. The lack or excess of water, its uses, quality and distribution is being studied by using GIS, remote sensing and historical records. Students are learning the methodology to incorporate scientific protocols and data into all aspects of their future teaching curriculum. In addition, in each of the three years of the project, pre-service teachers attended a seminar series during the fall semester with presentations by collaborators from industry, agriculture, education and government agencies. Students used NASA educational materials in the presentations that they gave at the conclusion of the seminar series. All pre- and in-service teachers continue to have support via a local web site for Heritage College GLOBE participants.
Full Text Available This paper integrates theories and findings of the level of tertiary educated workforce, the human resources in science and technology and skills that are desirable in employees from in the information and communication technologies (ICT sector. It is important to examine the real situation on the labor market in the ICT sector, which is often referred to as the key to overcoming the crisis and the future of national economy. Basic statistical elements, upon which to predict future demand for human resources in science and technology (HRST, are people who enter tertiary level of education (inputs or are already in the system (throughputs, but until graduation are not considered HRST’s (outputs. Analysis is based on a sample of 56 small companies in ICT sector in Croatia. This paper presents the overview of the situations of human resources in small companies ICT sector in Croatia. Existing literature on HRST, employee’s skills and ICT sector is reviewed in the light of this analysis, in order to better understand current employment structure and desirable competencies of future employees of small companies in the ICT sector in Croatia.
Links to sources of cancer-related statistics, including the Surveillance, Epidemiology and End Results (SEER) Program, SEER-Medicare datasets, cancer survivor prevalence data, and the Cancer Trends Progress Report.
Gardenier, John S
This paper recommends how authors of statistical studies can communicate to general audiences fully, clearly, and comfortably. The studies may use statistical methods to explore issues in science, engineering, and society or they may address issues in statistics specifically. In either case, readers without explicit statistical training should have no problem understanding the issues, the methods, or the results at a non-technical level. The arguments for those results should be clear, logical, and persuasive. This paper also provides advice for editors of general journals on selecting high quality statistical articles without the need for exceptional work or expense. Finally, readers are also advised to watch out for some common errors or misuses of statistics that can be detected without a technical statistical background.
This textbook provides an introduction to the free software Python and its use for statistical data analysis. It covers common statistical tests for continuous, discrete and categorical data, as well as linear regression analysis and topics from survival analysis and Bayesian statistics. Working code and data for Python solutions for each test, together with easy-to-follow Python examples, can be reproduced by the reader and reinforce their immediate understanding of the topic. With recent advances in the Python ecosystem, Python has become a popular language for scientific computing, offering a powerful environment for statistical data analysis and an interesting alternative to R. The book is intended for master and PhD students, mainly from the life and medical sciences, with a basic knowledge of statistics. As it also provides some statistics background, the book can be used by anyone who wants to perform a statistical data analysis. .
Tabassum, Hina; Yilmaz, Ferkan; Dawy, Zaher; Alouini, Mohamed-Slim
In this paper, we introduce a new methodology to model the uplink inter-cell interference (ICI) in wireless cellular networks. The model takes into account both the effect of channel statistics (i.e., path loss, shadowing, fading) and the resource allocation scheme in the interfering cells. Firstly, we derive a semi-analytical expression for the distribution of the locations of the allocated user in a given cell considering greedy resource allocation with maximum signal-to-noise ratio (SNR) criterion. Based on this, we derive the distribution of the uplink ICI from one neighboring cell. Next, we compute the moment generating function (MGF) of the cumulative ICI observed from all neighboring cells and discuss some examples. Finally, we utilize the derived expressions to evaluate the outage probability in the network. In order to validate the accuracy of the developed semi-analytical expressions, we present comparison results with Monte Carlo simulations. The major benefit of the proposed mechanism is that it helps in estimating the distribution of ICI without the knowledge of instantaneous resource allocations in the neighbor cells. The proposed methodology applies to any shadowing and fading distributions. Moreover, it can be used to evaluate important network performance metrics numerically without the need for time-consuming Monte Carlo simulations. © 2011 IEEE.
In this paper, we introduce a new methodology to model the uplink inter-cell interference (ICI) in wireless cellular networks. The model takes into account both the effect of channel statistics (i.e., path loss, shadowing, fading) and the resource allocation scheme in the interfering cells. Firstly, we derive a semi-analytical expression for the distribution of the locations of the allocated user in a given cell considering greedy resource allocation with maximum signal-to-noise ratio (SNR) criterion. Based on this, we derive the distribution of the uplink ICI from one neighboring cell. Next, we compute the moment generating function (MGF) of the cumulative ICI observed from all neighboring cells and discuss some examples. Finally, we utilize the derived expressions to evaluate the outage probability in the network. In order to validate the accuracy of the developed semi-analytical expressions, we present comparison results with Monte Carlo simulations. The major benefit of the proposed mechanism is that it helps in estimating the distribution of ICI without the knowledge of instantaneous resource allocations in the neighbor cells. The proposed methodology applies to any shadowing and fading distributions. Moreover, it can be used to evaluate important network performance metrics numerically without the need for time-consuming Monte Carlo simulations. © 2011 IEEE.
A future bilateral SAR program was studied. The requirements supporting a SAR mission posed by science and operations in sea-ice-covered waters, oceanography, renewable resources, and nonrenewable resources are addressed. The instrument, mission, and program parameters were discussed. Research investigations supporting a SAR flight and the subsequent overall mission requirements and tradeoffs are summarized.
The "issue" of there being only limited time available to teachers for the development of teaching and learning resources has been with us a long time. This article outlines the rationale behind the development of online teaching resources that are freely available on the Earth Science Teachers' Association (ESTA) website and introduces readers to…
Quirk, Thomas J
This is the first book to show the capabilities of Microsoft Excel to teach social science statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical social science problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in social science courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, Excel 2013 for Social Science Statistics: A Guide to Solving Practical Problems is the first book to capitalize on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. Each chapter explains statistical formul...
For the years 2004 and 2005 the figures shown in the tables of Energy Review are partly preliminary. The annual statistics published in Energy Review are presented in more detail in a publication called Energy Statistics that comes out yearly. Energy Statistics also includes historical time-series over a longer period of time (see e.g. Energy Statistics, Statistics Finland, Helsinki 2004.) The applied energy units and conversion coefficients are shown in the back cover of the Review. Explanatory notes to the statistical tables can be found after tables and figures. The figures presents: Changes in GDP, energy consumption and electricity consumption, Carbon dioxide emissions from fossile fuels use, Coal consumption, Consumption of natural gas, Peat consumption, Domestic oil deliveries, Import prices of oil, Consumer prices of principal oil products, Fuel prices in heat production, Fuel prices in electricity production, Price of electricity by type of consumer, Average monthly spot prices at the Nord pool power exchange, Total energy consumption by source and CO 2 -emissions, Supplies and total consumption of electricity GWh, Energy imports by country of origin in January-June 2003, Energy exports by recipient country in January-June 2003, Consumer prices of liquid fuels, Consumer prices of hard coal, natural gas and indigenous fuels, Price of natural gas by type of consumer, Price of electricity by type of consumer, Price of district heating by type of consumer, Excise taxes, value added taxes and fiscal charges and fees included in consumer prices of some energy sources and Energy taxes, precautionary stock fees and oil pollution fees
For the year 2000, part of the figures shown in the tables of the Energy Review are preliminary or estimated. The annual statistics of the Energy Review appear in more detail from the publication Energiatilastot - Energy Statistics issued annually, which also includes historical time series over a longer period (see e.g. Energiatilastot 1999, Statistics Finland, Helsinki 2000, ISSN 0785-3165). The inside of the Review's back cover shows the energy units and the conversion coefficients used for them. Explanatory notes to the statistical tables can be found after tables and figures. The figures presents: Changes in the volume of GNP and energy consumption, Changes in the volume of GNP and electricity, Coal consumption, Natural gas consumption, Peat consumption, Domestic oil deliveries, Import prices of oil, Consumer prices of principal oil products, Fuel prices for heat production, Fuel prices for electricity production, Carbon dioxide emissions from the use of fossil fuels, Total energy consumption by source and CO 2 -emissions, Electricity supply, Energy imports by country of origin in 2000, Energy exports by recipient country in 2000, Consumer prices of liquid fuels, Consumer prices of hard coal, natural gas and indigenous fuels, Average electricity price by type of consumer, Price of district heating by type of consumer, Excise taxes, value added taxes and fiscal charges and fees included in consumer prices of some energy sources and Energy taxes and precautionary stock fees on oil products
For the year 1999 and 2000, part of the figures shown in the tables of the Energy Review are preliminary or estimated. The annual statistics of the Energy Review appear in more detail from the publication Energiatilastot - Energy Statistics issued annually, which also includes historical time series over a longer period (see e.g., Energiatilastot 1998, Statistics Finland, Helsinki 1999, ISSN 0785-3165). The inside of the Review's back cover shows the energy units and the conversion coefficients used for them. Explanatory notes to the statistical tables can be found after tables and figures. The figures presents: Changes in the volume of GNP and energy consumption, Changes in the volume of GNP and electricity, Coal consumption, Natural gas consumption, Peat consumption, Domestic oil deliveries, Import prices of oil, Consumer prices of principal oil products, Fuel prices for heat production, Fuel prices for electricity production, Carbon dioxide emissions, Total energy consumption by source and CO 2 -emissions, Electricity supply, Energy imports by country of origin in January-March 2000, Energy exports by recipient country in January-March 2000, Consumer prices of liquid fuels, Consumer prices of hard coal, natural gas and indigenous fuels, Average electricity price by type of consumer, Price of district heating by type of consumer, Excise taxes, value added taxes and fiscal charges and fees included in consumer prices of some energy sources and Energy taxes and precautionary stock fees on oil products
For the year 1998 and the year 1999, part of the figures shown in the tables of the Energy Review are preliminary or estimated. The annual statistics of the Energy Review appear in more detail from the publication Energiatilastot - Energy Statistics issued annually, which also includes historical time series over a longer period (see e.g. Energiatilastot 1998, Statistics Finland, Helsinki 1999, ISSN 0785-3165). The inside of the Review's back cover shows the energy units and the conversion coefficients used for them. Explanatory notes to the statistical tables can be found after tables and figures. The figures presents: Changes in the volume of GNP and energy consumption, Changes in the volume of GNP and electricity, Coal consumption, Natural gas consumption, Peat consumption, Domestic oil deliveries, Import prices of oil, Consumer prices of principal oil products, Fuel prices for heat production, Fuel prices for electricity production, Carbon dioxide emissions, Total energy consumption by source and CO 2 -emissions, Electricity supply, Energy imports by country of origin in January-June 1999, Energy exports by recipient country in January-June 1999, Consumer prices of liquid fuels, Consumer prices of hard coal, natural gas and indigenous fuels, Average electricity price by type of consumer, Price of district heating by type of consumer, Excise taxes, value added taxes and fiscal charges and fees included in consumer prices of some energy sources and Energy taxes and precautionary stock fees on oil products
Spillane, James P.; Diamond, John B.; Walker, Lisa J.; Halverson, Rich; Jita, Loyiso
This article explores school leadership for elementary school science teaching in an urban setting. We examine how school leaders bring resources together to enhance science instruction when there appear to be relatively few resources available for it. From our study of 13 Chicago elementary (K-8) schools' efforts to lead instructional change in mathematics, language arts, and science education, we show how resources for leading instruction are unequally distributed across subject areas. We also explore how over time leaders in one school successfully identified and activated resources for leading change in science education. The result has been a steady, although not always certain, development of science as an instructional area in the school. We argue that leading change in science education involves the identification and activation of material resources, the development of teachers' and school leaders' human capital, and the development and use of social capital.
Inspired by the Encyclopedia of Statistical Sciences, Second Edition (ESS2e), this volume presents a concise, well-rounded focus on the statistical concepts and applications that are essential for understanding gathered data in the fields of engineering, quality control, and the physical sciences. The book successfully upholds the goals of ESS2e by combining both previously-published and newly developed contributions written by over 100 leading academics, researchers, and practitioner in a comprehensive, approachable format. The result is a succinct reference that unveils modern, cutting-edge approaches to acquiring and analyzing data across diverse subject areas within these three disciplines, including operations research, chemistry, physics, the earth sciences, electrical engineering, and quality assurance. In addition, techniques related to survey methodology, computational statistics, and operations research are discussed, where applicable. Topics of coverage include: optimal and stochastic control, arti...
McCurdy, K. M.
The current status of Science, Technology and Natural Resources (STNR) policy in the United States provides an ideal context to examine the influence of committee seniority within the public policy process. Exemplars of the Policy Entrepreneur have been individuals in leadership positions, whether executive or legislative. The role of junior committee members in shaping policy innovation is less well understood, and is frequently masked either in cross-sectional research designs or in case studies. The House Natural Resources committee seniority patterns are compared to the House of Representatives Chamber data from 1975 to 2015. This expanse of congressional time captures both the policy innovation of the Class of 1974 who helped transform the public lands by pursuing a preservation agenda, along with the contemporaneous gridlock caused by disagreements about reducing the size of the federal government, a policy agenda championed and sustained by the Class of 1994. Several types of political actors have served as policy entrepreneurs, President Kennedy and Secretary of Interior Udall shepherding the Wilderness Act of 1964 from the Executive branch, or in the 111th Congress Committee chairmen Senator Christopher Dodd and Representative Barney Frank, having announced their retirements, spent their final Congress shaping the consensus that produced the Wall Street Reform and Consumer Protection Act of 2010. A less studied policy phenomenon relies on "packing the committee" to outvote the leadership. This tactic can be used by the party leadership to overcome recalcitrant senior committee members, as was the case for Democrats in the House Interior and Insular Affairs Committee shift to preservation in the 1970s, or the tactic can be employed from the grassroots, as may be happening in the case of the House Natural Resources Committee in the 114th Congress. A policy making process analog to rivers is more appropriate than a mechanistic model. As there are multiple
McKinley, Duncan C.; Miller-Rushing, Abraham J.; Ballard, Heidi L.; Bonney, Rick; Brown, Hutch; Evans, Daniel M.; French, Rebecca A.; Parrish, Julia K.; Phillips, Tina B.; Ryan, Sean F.; Shanley, Lea A.; Shirk, Jennifer L.; Stepenuck, Kristine F.; Weltzin, Jake F.; Wiggins, Andrea; Boyle, Owen D.; Briggs, Russell D.; Chapin, Stuart F.; Hewitt, David A.; Preuss, Peter W.; Soukup, Michael A.
Citizen science has made substantive contributions to science for hundreds of years. More recently, it has contributed to many articles in peer-reviewed scientific journals and has influenced natural resource management and environmental protection decisions and policies across the nation. Over the last 10 years, citizen science—participation by the public in a scientific project—has seen explosive growth in the United States, particularly in ecology, the environmental sciences, and related fields of inquiry. In this report, we explore the current use of citizen science in natural resource and environmental science and decision making in the United States and describe the investments organizations might make to benefit from citizen science.
Toga, Arthur W; Foster, Ian; Kesselman, Carl; Madduri, Ravi; Chard, Kyle; Deutsch, Eric W; Price, Nathan D; Glusman, Gustavo; Heavner, Benjamin D; Dinov, Ivo D; Ames, Joseph; Van Horn, John; Kramer, Roger; Hood, Leroy
Modern biomedical data collection is generating exponentially more data in a multitude of formats. This flood of complex data poses significant opportunities to discover and understand the critical interplay among such diverse domains as genomics, proteomics, metabolomics, and phenomics, including imaging, biometrics, and clinical data. The Big Data for Discovery Science Center is taking an "-ome to home" approach to discover linkages between these disparate data sources by mining existing databases of proteomic and genomic data, brain images, and clinical assessments. In support of this work, the authors developed new technological capabilities that make it easy for researchers to manage, aggregate, manipulate, integrate, and model large amounts of distributed data. Guided by biological domain expertise, the Center's computational resources and software will reveal relationships and patterns, aiding researchers in identifying biomarkers for the most confounding conditions and diseases, such as Parkinson's and Alzheimer's. © The Author 2015. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: email@example.com.
Turcan (Susu Aurelia
Full Text Available The evaluation and comparability of statistics indicators of the science and innovation on international background reflect country competitiveness and it position regarding field of science, innovation and distribution of new technologies. Better comprehensions of the factors that contribute at the success in these fields are helped by using proper indicators like instruments of identification of the best practice. But the system of indicators is developed only for the ”science”. The ”innovation” in Moldova is not covered by statistical work and can only be assessed indirectly.
Quirk, Thomas J; Horton, Howard F
This is the first book to show the capabilities of Microsoft Excel to teach environmental sciences statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical environmental sciences problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in environmental science courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, Excel 2010 for Environmental Sciences Statistics: A Guide to Solving Practical Problems is the first book to capitalize on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. Eac...
Quirk, Thomas J; Horton, Howard F
This is the first book to show the capabilities of Microsoft Excel to teach environmentall sciences statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical environmental science problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in environmental science courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, Excel 2013 for Environmental Sciences Statistics: A Guide to Solving Practical Problems is the first book to capitalize on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. Each chap...
For the year 2002, part of the figures shown in the tables of the Energy Review are partly preliminary. The annual statistics of the Energy Review also includes historical time-series over a longer period (see e.g. Energiatilastot 2001, Statistics Finland, Helsinki 2002). The applied energy units and conversion coefficients are shown in the inside back cover of the Review. Explanatory notes to the statistical tables can be found after tables and figures. The figures presents: Changes in GDP, energy consumption and electricity consumption, Carbon dioxide emissions from fossile fuels use, Coal consumption, Consumption of natural gas, Peat consumption, Domestic oil deliveries, Import prices of oil, Consumer prices of principal oil products, Fuel prices in heat production, Fuel prices in electricity production, Price of electricity by type of consumer, Average monthly spot prices at the Nord pool power exchange, Total energy consumption by source and CO 2 -emissions, Supply and total consumption of electricity GWh, Energy imports by country of origin in January-June 2003, Energy exports by recipient country in January-June 2003, Consumer prices of liquid fuels, Consumer prices of hard coal, natural gas and indigenous fuels, Price of natural gas by type of consumer, Price of electricity by type of consumer, Price of district heating by type of consumer, Excise taxes, value added taxes and fiscal charges and fees included in consumer prices of some energy sources and Excise taxes, precautionary stock fees on oil pollution fees on energy products
For the year 2003 and 2004, the figures shown in the tables of the Energy Review are partly preliminary. The annual statistics of the Energy Review also includes historical time-series over a longer period (see e.g. Energiatilastot, Statistics Finland, Helsinki 2003, ISSN 0785-3165). The applied energy units and conversion coefficients are shown in the inside back cover of the Review. Explanatory notes to the statistical tables can be found after tables and figures. The figures presents: Changes in GDP, energy consumption and electricity consumption, Carbon dioxide emissions from fossile fuels use, Coal consumption, Consumption of natural gas, Peat consumption, Domestic oil deliveries, Import prices of oil, Consumer prices of principal oil products, Fuel prices in heat production, Fuel prices in electricity production, Price of electricity by type of consumer, Average monthly spot prices at the Nord pool power exchange, Total energy consumption by source and CO 2 -emissions, Supplies and total consumption of electricity GWh, Energy imports by country of origin in January-March 2004, Energy exports by recipient country in January-March 2004, Consumer prices of liquid fuels, Consumer prices of hard coal, natural gas and indigenous fuels, Price of natural gas by type of consumer, Price of electricity by type of consumer, Price of district heating by type of consumer, Excise taxes, value added taxes and fiscal charges and fees included in consumer prices of some energy sources and Excise taxes, precautionary stock fees on oil pollution fees
For the year 1999 and 2000, part of the figures shown in the tables of the Energy Review are preliminary or estimated. The annual statistics of the Energy also includes historical time series over a longer period (see e.g., Energiatilastot 1999, Statistics Finland, Helsinki 2000, ISSN 0785-3165). The inside of the Review's back cover shows the energy units and the conversion coefficients used for them. Explanatory notes to the statistical tables can be found after tables and figures. The figures presents: Changes in the volume of GNP and energy consumption, Changes in the volume of GNP and electricity, Coal consumption, Natural gas consumption, Peat consumption, Domestic oil deliveries, Import prices of oil, Consumer prices of principal oil products, Fuel prices for heat production, Fuel prices for electricity production, Carbon dioxide emissions, Total energy consumption by source and CO 2 -emissions, Electricity supply, Energy imports by country of origin in January-June 2000, Energy exports by recipient country in January-June 2000, Consumer prices of liquid fuels, Consumer prices of hard coal, natural gas and indigenous fuels, Average electricity price by type of consumer, Price of district heating by type of consumer, Excise taxes, value added taxes and fiscal charges and fees included in consumer prices of some energy sources and Energy taxes and precautionary stock fees on oil products
María Gabriela Mago Ramos
Full Text Available A methodology was developed for analysing faults in distribution transformers using the statistical package for social sciences (SPSS; it consisted of organising and creating of database regarding failed equipment, incorporating such data into the processing programme and converting all the information into numerical variables to be processed, thereby obtaining descriptive statistics and enabling factor and discriminant analysis. The research was based on information provided by companies in areas served by Corpoelec (Valencia, Venezuela and Codensa (Bogotá, Colombia.
Matsumura, Mina; Nakayama, Takuto; Sozu, Takashi
A survey of introductory statistics courses at Japanese medical schools was published as a report in 2014. To obtain a complete understanding of the way in which statistics is taught at the university level in Japan, it is important to extend this survey to related fields, including pharmacy, dentistry, and nursing. The current study investigates the introductory statistics courses offered by faculties of pharmaceutical sciences (six-year programs) at Japanese universities, comparing the features of these courses with those studied in the survey of medical schools. We collected relevant data from the online syllabi of statistics courses published on the websites of 71 universities. The survey items included basic course information (for example, the course names, the targeted student grades, the number of credits, and course classification), textbooks, handouts, the doctoral subject and employment status of each lecturer, and course contents. The period surveyed was July-September 2015. We found that these 71 universities offered a total of 128 statistics courses. There were 67 course names, the most common of which was "biostatistics (iryou toukeigaku)." About half of the courses were designed for first- or second-year students. Students earned fewer than two credits. There were 62 different types of textbooks. The lecturers held doctoral degrees in 18 different subjects, the most common being a doctorate in pharmacy or science. Some course content differed, reflecting the lecturers' academic specialties. The content of introductory statistics courses taught in pharmaceutical science programs also differed slightly from the equivalent content taught in medical schools.
Alan W. Ewert
A number of trends are altering the role of science in natural resource management. These trends include the growing political power of science, the recognition that most natural resource problems are extremely complex and not prone to uni-dimensional solutions, and the increasing need to integrate an understanding of the human component into the planning and decision-...
Haury, David L.
This ERIC Digest identifies how the human genome project fits into the "National Science Education Standards" and lists Human Genome Project Web sites found on the World Wide Web. It is a resource companion to "Learning about the Human Genome. Part 1: Challenge to Science Educators" (Haury 2001). The Web resources and…
Koch, G.S. Jr.; Howarth, R.J.; Schuenemeyer, J.H.
We have developed a procedure that can help quadrangle evaluators to systematically summarize and use hydrogeochemical and stream sediment reconnaissance (HSSR) and occurrence data. Although we have not provided an independent estimate of uranium endowment, we have devised a methodology that will provide this independent estimate when additional calibration is done by enlarging the study area. Our statistical model for evaluation (system EVAL) ranks uranium endowment for each quadrangle. Because using this model requires experience in geology, statistics, and data analysis, we have also devised a simplified model, presented in the package SURE, a System for Uranium Resource Evaluation. We have developed and tested these models for the four quadrangles in southern Colorado that comprise the study area; to investigate their generality, the models should be applied to other quandrangles. Once they are calibrated with accepted uranium endowments for several well-known quadrangles, the models can be used to give independent estimates for less-known quadrangles. The point-oriented models structure the objective comparison of the quandrangles on the bases of: (1) Anomalies (a) derived from stream sediments, (b) derived from waters (stream, well, pond, etc.), (2) Geology (a) source rocks, as defined by the evaluator, (b) host rocks, as defined by the evaluator, and (3) Aerial radiometric anomalies
Morgenthaler, Stephan; Ronchetti, Elvezio
The Conference on "Statistical Science", held in Monte Verita (Switzerland) on 18/20 November 1996, was intended to honour the memory of Stefano Franscini at the occasion of the bicentennial of his birth (1796-1996). It was jointly organized by the Swiss Federal Institute of Technology in Lausanne, the Swiss Federal Statistical Office and the University of Geneva. These proceedings gather a selected collection of contributions presented by statisticians from universities, research institutes and national statistical services of Europe, North America and Asia. Part I focuses on a historical appreciation of Stefano Franscini's life and work. Authors develop a deep analysis of the historical context, the political action, the scientific achievement and the intellectual legacy of the founding father of Swiss official statistics. The reader thus has an opportunity to appreciate the various facets of this exceptional man who not only drew the first comprehensive statistical portrait of Switzerland but also establis...
Apel, Heiko; Gafurov, Abror; Gerlitz, Lars; Unger-Shayesteh, Katy; Vorogushyn, Sergiy; Merkushkin, Aleksandr; Merz, Bruno
The semi-arid regions of Central Asia crucially depend on the water resources supplied by the mountainous areas of the Tien-Shan and Pamirs. During the summer months the snow and glacier melt water of the rivers originating in the mountains provides the only water resource available for agricultural production but also for water collection in reservoirs for energy production in winter months. Thus a reliable seasonal forecast of the water resources is crucial for a sustainable management and planning of water resources.. In fact, seasonal forecasts are mandatory tasks of national hydro-meteorological services in the region. Thus this study aims at a statistical forecast of the seasonal water availability, whereas the focus is put on the usage of freely available data in order to facilitate an operational use without data access limitations. The study takes the Naryn basin as a test case, at which outlet the Toktogul reservoir stores the discharge of the Naryn River. As most of the water originates form snow and glacier melt, a statistical forecast model should use data sets that can serve as proxy data for the snow masses and snow water equivalent in late spring, which essentially determines the bulk of the seasonal discharge. CRU climate data describing the precipitation and temperature in the basin during winter and spring was used as base information, which was complemented by MODIS snow cover data processed through ModSnow tool, discharge during the spring and also GRACE gravimetry anomalies. For the construction of linear forecast models monthly as well as multi-monthly means over the period January to April were used to predict the seasonal mean discharge of May-September at the station Uchterek. An automatic model selection was performed in multiple steps, whereas the best models were selected according to several performance measures and their robustness in a leave-one-out cross validation. It could be shown that the seasonal discharge can be predicted with
Robeck, E.; Camphire, G.; Brendan, S.; Celia, T.
There exists a wide array of high quality resources to support K-12 teaching and motivate student interest in the geosciences. Yet, connecting teachers to those resources can be a challenge. Teachers working to implement the NGSS can benefit from accessing the wide range of existing geoscience resources, and from becoming part of supportive networks of geoscience educators, researchers, and advocates. Engaging teachers in such networks can be facilitated by providing them with information about organizations, resources, and opportunities. The American Geoscience Institute (AGI) has developed two key resources that have great value in supporting NGSS implement in these ways. Those are Earth Science Week, and the Education Resources Network in AGI's Center for Geoscience and Society. For almost twenty years, Earth Science Week, has been AGI's premier annual outreach program designed to celebrate the geosciences. Through its extensive web-based resources, as well as the physical kits of posters, DVDs, calendars and other printed materials, Earth Science Week offers an array of resources and opportunities to connect with the education-focused work of important geoscience organizations such as NASA, the National Park Service, HHMI, esri, and many others. Recently, AGI has initiated a process of tagging these and other resources to NGSS so as to facilitate their use as teachers develop their instruction. Organizing Earth Science Week around themes that are compatible with topics within NGSS contributes to the overall coherence of the diverse array of materials, while also suggesting potential foci for investigations and instructional units. More recently, AGI has launched its Center for Geoscience and Society, which is designed to engage the widest range of audiences in building geoscience awareness. As part of the Center's work, it has launched the Education Resources Network (ERN), which is an extensive searchable database of all manner of resources for geoscience
Sebastianelli, Rose; Tamimi, Nabil
Given the expected rise in the number of online business degrees, issues regarding quality and assessment in online courses will become increasingly important. The authors focus on the suitability of online delivery for quantitative business courses, specifically business statistics and management science. They use multiple approaches to assess…
Ju, Boryung; Jin, Tao
Introduction: The Delphi technique is widely used in library and information science research. However, many researchers in the field fail to employ standard statistical tests when using this technique. This makes the technique vulnerable to criticisms of its reliability and validity. The general goal of this article is to explore how…
Sobantka, Alicja; Rechberger, Helmut
The use of entropy in hydrology and water resources has been applied to various applications. As water resource systems are inherently spatial and complex, a stochastic description of these systems is needed, and entropy theory enables development of such a description by providing determination of the least-biased probability distributions with limited knowledge and data. Entropy can also serve as a basis for risk and reliability analysis. The relative entropy has been variously interpreted as a measure freedom of choice, uncertainty and disorder, information content, missing information or information gain or loss. In the analysis of empirical data, entropy is another measure of dispersion, an alternative to the variance. Also, as an evaluation tool, the statistical entropy analysis (SEA) has been developed by previous workers to quantify the power of a process to concentrate chemical elements. Within this research programme the SEA is aimed to be extended for application to chemical compounds and tested for its deficits and potentials in systems where water resources play an important role. The extended SEA (eSEA) will be developed first for the nitrogen balance in waste water treatment plants (WWTP). Later applications on the emission of substances to water bodies such as groundwater (e.g. leachate from landfills) will also be possible. By applying eSEA to the nitrogen balance in a WWTP, all possible nitrogen compounds, which may occur during the water treatment process, are taken into account and are quantified in their impact towards the environment and human health. It has been shown that entropy reducing processes are part of modern waste management. Generally, materials management should be performed in a way that significant entropy rise is avoided. The entropy metric might also be used to perform benchmarking on WWTPs. The result out of this management tool would be the determination of the efficiency of WWTPs. By improving and optimizing the efficiency
This master's thesis project consists of two parts. Part I of the project compares modeling of historical resource production and forecasting of future production trends using the logit/probit transform advocated by Rutledge (2011) with conventional Hubbert curve fitting, using global coal production as a case study. The conventional Hubbert/Gaussian method fits a curve to historical production data whereas a logit/probit transform uses a linear fit to a subset of transformed production data. Within the errors and limitations inherent in this type of statistical modeling, these methods provide comparable results. That is, despite that apparent goodness-of-fit achievable using the Logit/Probit methodology, neither approach provides a significant advantage over the other in either explaining the observed data or in making future projections. For mature production regions, those that have already substantially passed peak production, results obtained by either method are closely comparable and reasonable, and estimates of ultimately recoverable resources obtained by either method are consistent with geologically estimated reserves. In contrast, for immature regions, estimates of ultimately recoverable resources generated by either of these alternative methods are unstable and thus, need to be used with caution. Although the logit/probit transform generates high quality-of-fit correspondence with historical production data, this approach provides no new information compared to conventional Gaussian or Hubbert-type models and may have the effect of masking the noise and/or instability in the data and the derived fits. In particular, production forecasts for immature or marginally mature production systems based on either method need to be regarded with considerable caution. Part II of the project investigates the utility of a novel alternative method for multicyclic Hubbert modeling tentatively termed "cycle-jumping" wherein overlap of multiple cycles is limited. The
Susan Charnley; Courtney Carothers; Terre Satterfield; Arielle Levine; Melissa R. Poe; Karma Norman; Jamie Donatuto; Sara Jo Breslow; Michael B. Mascia; Phillip S. Levin; Xavier Basurto; Christina C. Hicks; Carlos García-Quijano; Kevin St. Martin
Increasing recognition of the human dimensions of natural resource management issues, and of social and ecological sustainability and resilience as being inter-related, highlights the importance of applying social science to natural resource management decision-making. Moreover, a number of laws and regulations require natural resource management agencies to consider...
Michael E. Patterson; Daniel R. Williams
Increasingly, natural resource management is seeing calls for new paradigms. These calls pose challenges that have implications not only for planning and management, but also for the practice of science. As a consequence, the profession needs to deepen its understanding of the nature of science by exploring recent advances in the philosophy of science....
Chase, Sarah K; Levine, Arielle
We present a framework of resource characteristics critical to the design and assessment of citizen science programs that monitor natural resources. To develop the framework we reviewed 52 citizen science programs that monitored a wide range of resources and provided insights into what resource characteristics are most conducive to developing citizen science programs and how resource characteristics may constrain the use or growth of these programs. We focused on 4 types of resource characteristics: biophysical and geographical, management and monitoring, public awareness and knowledge, and social and cultural characteristics. We applied the framework to 2 programs, the Tucson (U.S.A.) Bird Count and the Maui (U.S.A.) Great Whale Count. We found that resource characteristics such as accessibility, diverse institutional involvement in resource management, and social or cultural importance of the resource affected program endurance and success. However, the relative influence of each characteristic was in turn affected by goals of the citizen science programs. Although the goals of public engagement and education sometimes complimented the goal of collecting reliable data, in many cases trade-offs must be made between these 2 goals. Program goals and priorities ultimately dictate the design of citizen science programs, but for a program to endure and successfully meet its goals, program managers must consider the diverse ways that the nature of the resource being monitored influences public participation in monitoring. © 2016 Society for Conservation Biology.
Shedlock, James; Byrd, Gary D
The Annual Statistics of Medical School Libraries in the United States and Canada (Annual Statistics) is the most recognizable achievement of the Association of Academic Health Sciences Libraries in its history to date. This article gives a thematic history of the Annual Statistics, emphasizing the leadership role of editors and Editorial Boards, the need for cooperation and membership support to produce comparable data useful for everyday management of academic medical center libraries and the use of technology as a tool for data gathering and publication. The Annual Statistics' origin is recalled, and survey features and content are related to the overall themes. The success of the Annual Statistics is evident in the leadership skills of the first editor, Richard Lyders, executive director of the Houston Academy of Medicine-Texas Medical Center Library. The history shows the development of a survey instrument that strives to produce reliable and valid data for a diverse group of libraries while reflecting the many complex changes in the library environment. The future of the Annual Statistics is assured by the anticipated changes facing academic health sciences libraries, namely the need to reflect the transition from a physical environment to an electronic operation.
Zeng, Irene Sui Lan; Lumley, Thomas
Integrated omics is becoming a new channel for investigating the complex molecular system in modern biological science and sets a foundation for systematic learning for precision medicine. The statistical/machine learning methods that have emerged in the past decade for integrated omics are not only innovative but also multidisciplinary with integrated knowledge in biology, medicine, statistics, machine learning, and artificial intelligence. Here, we review the nontrivial classes of learning methods from the statistical aspects and streamline these learning methods within the statistical learning framework. The intriguing findings from the review are that the methods used are generalizable to other disciplines with complex systematic structure, and the integrated omics is part of an integrated information science which has collated and integrated different types of information for inferences and decision making. We review the statistical learning methods of exploratory and supervised learning from 42 publications. We also discuss the strengths and limitations of the extended principal component analysis, cluster analysis, network analysis, and regression methods. Statistical techniques such as penalization for sparsity induction when there are fewer observations than the number of features and using Bayesian approach when there are prior knowledge to be integrated are also included in the commentary. For the completeness of the review, a table of currently available software and packages from 23 publications for omics are summarized in the appendix.
Judi, Hairulliza Mohamad; Sahari @ Ashari, Noraidah; Eksan, Zanaton Hj
Previous research in Malaysia indicates that there is a problem regarding attitude towards statistics among students. They didn't show positive attitude in affective, cognitive, capability, value, interest and effort aspects although did well in difficulty. This issue should be given substantial attention because students' attitude towards statistics may give impacts on the teaching and learning process of the subject. Teaching statistics using role play is an appropriate attempt to improve attitudes to statistics, to enhance the learning of statistical techniques and statistical thinking, and to increase generic skills. The objectives of the paper are to give an overview on role play in statistics learning and to access the effect of these activities on students' attitude and learning in action research framework. The computer tool entrepreneur role play is conducted in a two-hour tutorial class session of first year students in Faculty of Information Sciences and Technology (FTSM), Universiti Kebangsaan Malaysia, enrolled in Probability and Statistics course. The results show that most students feel that they have enjoyable and great time in the role play. Furthermore, benefits and disadvantages from role play activities were highlighted to complete the review. Role play is expected to serve as an important activities that take into account students' experience, emotions and responses to provide useful information on how to modify student's thinking or behavior to improve learning.
Grindstaff, Kelly E.
This study explores the thinking and practices of five early-career teachers of grades eight to ten science, in relation to their histories, schools, students, and larger cultural and political forces. All the teachers are young women, two in their fourth year of teaching, who teach together in an affluent suburb, along with one first-year teacher. The other two are first-year teachers who teach in an urban setting. All of these teachers most closely associated good science teaching with forming relationships with students. They filtered science content through a lens of relevance (mostly to everyday life) and interest for students. Thus they filtered science content through a commitment to serving students, which makes sense since I argue that the primary motivations for teaching had more to do with working with students and helping people than the disciplines of science. Thus, within the discourse of the supremacy of curriculum and the prevalence of testing, these teachers enact hybrid practices which focus on covering content -- to help ensure the success of students -- and on relevance and interest, which has more to do with teaching styles and personality than disciplines of science. Ideas of good teaching are not very focused on science, which contradicts the type of support they seek and utilize around science content. This presents a challenge to pre- and in-service education and support to question what student success means, what concern for students entails and how to connect caring and concern for students with science.
Since the beginning of the twentieth century statistics has reshaped the experimental cultures of agricultural research taking part in the subtle dialectic between the epistemic and the material that is proper to experimental systems. This transformation has become especially relevant in field trials and the paper will examine the British agricultural institution, Rothamsted Experimental Station, where statistical methods nowadays popular in the planning and analysis of field experiments were developed in the 1920s. At Rothamsted statistics promoted randomisation over systematic arrangements, factorisation over one-question trials, and emphasised the importance of the experimental error in assessing field trials. These changes in methodology transformed also the material culture of agricultural science, and a new body, the Field Plots Committee, was created to manage the field research of the agricultural institution. Although successful, the vision of field experimentation proposed by the Rothamsted statisticians was not unproblematic. Experimental scientists closely linked to the farming community questioned it in favour of a field research that could be more easily understood by farmers. The clash between the two agendas reveals how the role attributed to statistics in field experimentation defined different pursuits of agricultural research, alternately conceived of as a scientists' science or as a farmers' science.
Kacprzak, T.; Kirk, D.; Friedrich, O.; Amara, A.; Refregier, A.
Shear peak statistics has gained a lot of attention recently as a practical alternative to the two-point statistics for constraining cosmological parameters. We perform a shear peak statistics analysis of the Dark Energy Survey (DES) Science Verification (SV) data, using weak gravitational lensing measurements from a 139 deg"2 field. We measure the abundance of peaks identified in aperture mass maps, as a function of their signal-to-noise ratio, in the signal-to-noise range 0 4 would require significant corrections, which is why we do not include them in our analysis. We compare our results to the cosmological constraints from the two-point analysis on the SV field and find them to be in good agreement in both the central value and its uncertainty. Lastly, we discuss prospects for future peak statistics analysis with upcoming DES data.
Meier, M.A.R.; Metzger, J.O.; Schubert, U.S.
The utilization of plant oil renewable resources as raw materials for monomers and polymers is discussed and reviewed. In an age of increasing oil prices, global warming and other environmental problems (e.g. waste) the change from fossil feedstock to renewable resources can considerably contribute
Kerkhoven, A.H.; Rodrigues, Dos Santos Russo P.M.; Land, A.M.; Saxena, A.; Rodenburg, F.J.
More men are studying and working in science fields than women. This could be an effect of the prevalence of gender stereotypes (e.g., science is for men, not for women). Aside from the media and people’s social lives, such stereotypes can also occur in education. Ways in which stereotypes are
Elliot, Dely; Wilson, Delia; Boyle, Stephen
Scotland's rich heritage in the field of science and engineering and recent curricular developments led to major investment in education to equip pupils with improved scientific knowledge and skills. However, due to its abstract and conceptual nature, learning science can be challenging. Literature supports the role of multimedia technology in…
Lindsell, Christopher J.; Welty, Leah J.; Mazumdar, Madhu; Thurston, Sally W.; Rahbar, Mohammad H.; Carter, Rickey E.; Pollock, Bradley H.; Cucchiara, Andrew J.; Kopras, Elizabeth J.; Jovanovic, Borko D.; Enders, Felicity T.
Abstract Introduction Statistics is an essential training component for a career in clinical and translational science (CTS). Given the increasing complexity of statistics, learners may have difficulty selecting appropriate courses. Our question was: what depth of statistical knowledge do different CTS learners require? Methods For three types of CTS learners (principal investigator, co‐investigator, informed reader of the literature), each with different backgrounds in research (no previous research experience, reader of the research literature, previous research experience), 18 experts in biostatistics, epidemiology, and research design proposed levels for 21 statistical competencies. Results Statistical competencies were categorized as fundamental, intermediate, or specialized. CTS learners who intend to become independent principal investigators require more specialized training, while those intending to become informed consumers of the medical literature require more fundamental education. For most competencies, less training was proposed for those with more research background. Discussion When selecting statistical coursework, the learner's research background and career goal should guide the decision. Some statistical competencies are considered to be more important than others. Baseline knowledge assessments may help learners identify appropriate coursework. Conclusion Rather than one size fits all, tailoring education to baseline knowledge, learner background, and future goals increases learning potential while minimizing classroom time. PMID:25212569
Full Text Available This paper deals with some basic concepts of statistics a few analysis methods and their usefulness for researchers from various fields. In particular we focus our argument on how SPSS can be used with a view to carrying out a large number of inferences from certain set of quantitative data. Above all, we seek through these basic concepts and handling of said software routines equip, minimally, those who wish to venture quantitative analysis. In particular, we are concerned the use of the Pearson Correlation Test, Chi-Square Test and Analysis of Simple and Multiple Regression.
Jacobs, B. E.; Bohls-Graham, E.; Martinez, A. O.; Ellins, K. K.; Riggs, E. M.; Serpa, L. F.; Stocks, E.; Fox, S.; Kent, M.
Today's instruction in Earth's systems requires thoughtful selection of curricula, and in turn, high quality learning activities that address modern Earth science. The Next Generation Science Standards (NGSS), which are intended to guide K-12 science instruction, further demand a discriminating selection process. The DIG (Diversity & Innovation in Geoscience) Texas Instructional Blueprints attempt to fulfill this practice by compiling vetted educational resources freely available online into units that are the building blocks of the blueprints. Each blueprint is composed of 9 three-week teaching units and serves as a scope and sequence for teaching a one-year Earth science course. In the earliest stages of the project, teams explored the Internet for classroom-worthy resources, including laboratory investigations, videos, visualizations, and readings, and submitted the educational resources deemed suitable for the project into the project's online review tool. Each team member evaluated the educational resources chosen by fellow team members according to a set of predetermined criteria that had been incorporated into the review tool. Resources rated as very good or excellent by all team members were submitted to the project PIs for approval. At this stage, approved resources became candidates for inclusion in the blueprint units. Team members tagged approved resources with descriptors for the type of resource and instructional strategy, and aligned these to the Texas Essential Knowledge and Skills for Earth and Space Science and the Earth Science Literacy Principles. Each team then assembled and sequenced resources according to content strand, balancing the types of learning experiences within each unit. Once units were packaged, teams then considered how they addressed the NGSS and identified the relevant disciplinary core ideas, crosscutting concepts, and science and engineering practices. In addition to providing a brief overview of the project, this
Taroni, F; Biedermann, A; Bozza, S
Many people regard the concept of hypothesis testing as fundamental to inferential statistics. Various schools of thought, in particular frequentist and Bayesian, have promoted radically different solutions for taking a decision about the plausibility of competing hypotheses. Comprehensive philosophical comparisons about their advantages and drawbacks are widely available and continue to span over large debates in the literature. More recently, controversial discussion was initiated by an editorial decision of a scientific journal  to refuse any paper submitted for publication containing null hypothesis testing procedures. Since the large majority of papers published in forensic journals propose the evaluation of statistical evidence based on the so called p-values, it is of interest to expose the discussion of this journal's decision within the forensic science community. This paper aims to provide forensic science researchers with a primer on the main concepts and their implications for making informed methodological choices. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.
Full Text Available In recent years, it has become possible to introduce health science students to statistical packages at an increasingly early stage in their undergraduate studies. This has enabled teaching to take place in a computer laboratory, using real data, and encouraging an exploratory and research-oriented approach. This paper briefly describes a hypertext Computer Based Tutorial (CBT concerned with descriptive statistics and introductory data analysis. The CBT has three primary objectives: the introduction of concepts, the facilitation of revision, and the acquisition of skills for project work. Objective testing is incorporated and used for both self-assessment and formal examination. Evaluation was carried out with a large group of Health Science students, heterogeneous with regard to their IT skills and basic numeracy. The results of the evaluation contain valuable lessons.
Hendikawati, P.; Arifudin, R.; Zahid, M. Z.
This study aims to design an android Statistics Data Analysis application that can be accessed through mobile devices to making it easier for users to access. The Statistics Data Analysis application includes various topics of basic statistical along with a parametric statistics data analysis application. The output of this application system is parametric statistics data analysis that can be used for students, lecturers, and users who need the results of statistical calculations quickly and easily understood. Android application development is created using Java programming language. The server programming language uses PHP with the Code Igniter framework, and the database used MySQL. The system development methodology used is the Waterfall methodology with the stages of analysis, design, coding, testing, and implementation and system maintenance. This statistical data analysis application is expected to support statistical lecturing activities and make students easier to understand the statistical analysis of mobile devices.
Background: Communication and use of medical information is an important factor ... of their research activities and ascertaining the degree of their relevance and ... used and slightly followed by audio-visual resources and reference materials.
National Aeronautics and Space Administration — Advances in computer-aided mission planning can enhance mission operations and science return for surface missions to Mars, the Moon, and beyond. While the...
Quirk, Thomas J; Horton, Howard F
This is the first book to show the capabilities of Microsoft Excel to teach biological and life sciences statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical science problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand science problems. Practice problems are provided at the end of each chapter with their solutions in an appendix. Separately, there is a full Practice Test (with answers in an Appendix) that allows readers to test what they have learned. Includes 164 illustrations in color Suitable for undergraduates or graduate student Prof. Tom Quirk is currently a Professor of Marketing at The Walker School of Business and Technology at Webster University in St....
Larsen, K. W.; Pankratz, C. K.; Giles, B. L.; Kokkonen, K.; Putnam, B.; Schafer, C.; Baker, D. N.
The Magnetospheric MultiScale (MMS) constellation of satellites completed their six month commissioning period in August, 2015 and began science operations. Science operations for the Solving Magnetospheric Acceleration, Reconnection, and Turbulence (SMART) instrument package occur at the Laboratory for Atmospheric and Space Physics (LASP). The Science Data Center (SDC) at LASP is responsible for the data production, management, distribution, and archiving of the data received. The mission will collect several gigabytes per day of particles and field data. Management of these data requires effective selection, transmission, analysis, and storage of data in the ground segment of the mission, including efficient distribution paths to enable the science community to answer the key questions regarding magnetic reconnection. Due to the constraints on download volume, this includes the Scientist-in-the-Loop program that identifies high-value science data needed to answer the outstanding questions of magnetic reconnection. Of particular interest to the community is the tools and associated website we have developed to provide convenient access to the data, first by the mission science team and, beginning March 1, 2016, by the entire community. This presentation will demonstrate the data and tools available to the community via the SDC and discuss the technologies we chose and lessons learned.
Vitanov, Nikolay K
This book deals with methods to evaluate scientific productivity. In the book statistical methods, deterministic and stochastic models and numerous indexes are discussed that will help the reader to understand the nonlinear science dynamics and to be able to develop or construct systems for appropriate evaluation of research productivity and management of research groups and organizations. The dynamics of science structures and systems is complex, and the evaluation of research productivity requires a combination of qualitative and quantitative methods and measures. The book has three parts. The first part is devoted to mathematical models describing the importance of science for economic growth and systems for the evaluation of research organizations of different size. The second part contains descriptions and discussions of numerous indexes for the evaluation of the productivity of researchers and groups of researchers of different size (up to the comparison of research productivities of research communiti...
Dumas-Mallet, Estelle; Button, Katherine S.; Boraud, Thomas; Gonon, Francois
Studies with low statistical power increase the likelihood that a statistically significant finding represents a false positive result. We conducted a review of meta-analyses of studies investigating the association of biological, environmental or cognitive parameters with neurological, psychiatric and somatic diseases, excluding treatment studies, in order to estimate the average statistical power across these domains. Taking the effect size indicated by a meta-analysis as the best estimate of the likely true effect size, and assuming a threshold for declaring statistical significance of 5%, we found that approximately 50% of studies have statistical power in the 0–10% or 11–20% range, well below the minimum of 80% that is often considered conventional. Studies with low statistical power appear to be common in the biomedical sciences, at least in the specific subject areas captured by our search strategy. However, we also observe evidence that this depends in part on research methodology, with candidate gene studies showing very low average power and studies using cognitive/behavioural measures showing high average power. This warrants further investigation. PMID:28386409
Jake R. Bernards
Full Text Available Current research ideologies in sport science allow for the possibility of investigators producing statistically significant results to help fit the outcome into a predetermined theory. Additionally, under the current Neyman-Pearson statistical structure, some argue that null hypothesis significant testing (NHST under the frequentist approach is flawed, regardless. For example, a p-value is unable to measure the probability that the studied hypothesis is true, unable to measure the size of an effect or the importance of a result, and unable to provide a good measure of evidence regarding a model or hypothesis. Many of these downfalls are key questions researchers strive to answer following an investigation. Therefore, a shift towards a magnitude-based inference model, and eventually a fully Bayesian framework, is thought to be a better fit from a statistical standpoint and may be an improved way to address biases within the literature. The goal of this article is to shed light on the current research and statistical shortcomings the field of sport science faces today, and offer potential solutions to help guide future research practices.
Full Text Available This contribution aims at tracing the development of statistical methods in medical science. Statistical methodology in medical research was first implemented in England in the age of the Enlightenment during the 18th century. As this approach stood in a clear opposition to the conventional medical practice directed in a rather authoritarian manner, this research field had to overcome a lot of difficulties. Nowadays, there is a widespread consensus that medical research is hardly possible without profound knowledge and application of statistical methods. Nevertheless, it took an extremely long time until the end of the 20th century, before this methodology was taken notice of and became appreciated. In order to better understand this long process, a brief summary of the development of statistics beginning from the Ancient Times is presented. It is shown how medical progress evolved parallel to the advancing mathematical understanding. A focus is put on the influence of the latter on medical sciences. Moreover, the special case of Germany in this aspect is analysed.
Maturo, Fabrizio; Kacprzyk, Janusz
This book presents a broad spectrum of problems related to statistics, mathematics, teaching, social science, and economics as well as a range of tools and techniques that can be used to solve these problems. It is the result of a scientific collaboration between experts in the field of economic and social systems from the University of Defence in Brno (Czech Republic), G. d’Annunzio University of Chieti-Pescara (Italy), Pablo de Olavid eUniversity of Sevilla (Spain), and Ovidius University in Constanţa, (Romania). The studies included were selected using a peer-review process and reflect heterogeneity and complexity of economic and social phenomena. They and present interesting empirical research from around the globe and from several research fields, such as statistics, decision making, mathematics, complexity, psychology, sociology and economics. The volume is divided into two parts. The first part, “Recent trends in mathematical and statistical models for economic and social sciences”, collects pap...
Strauss, Jeff; Shope, Richard E., III; Terebey, Susan
Science literacy is a major goal of science educational reform (NRC, 1996; AAAS, 1998; NCLB Act, 2001). Some believe that teaching science only requires pedagogical content knowledge (PCK). Others believe doing science requires knowledge of the methodologies of scientific inquiry (NRC, 1996). With these two mindsets, the challenge for science educators is to create models that bring the two together. The common ground between those who teach science and those who do science is science communication, an interactive process that galvanizes dialogue among scientists, teachers, and learners in a rich ambience of mutual respect and a common, inclusive language of discourse . The dialogue between science and non-science is reflected in the polarization that separates those who do science and those who teach science, especially as it plays out everyday in the science classroom. You may be thinking, why is this important? It is vital because, although not all science learners become scientists, all K-12 students are expected to acquire science literacy, especially with the implementation of the No Child Left Behind Act of 2001 (NCLB). Students are expected to acquire the ability to follow the discourse of science as well as connect the world of science to the context of their everyday life if they plan on moving to the next grade level, and in some states, to graduate from high school. This paper posits that science communication is highly effective in providing the missing link for K-12 students cognition in science and their attainment of science literacy. This paper will focus on the "Science For Our Schools" (SFOS) model implemented at California State Univetsity, Los Angeles (CSULA) as a project of the National Science Foundation s GK-12 program, (NSF 2001) which has been a huge success in bridging the gap between those who "know" science and those who "teach" science. The SFOS model makes clear the distinctions that identify science, science communication, science
Klos, P. Z.
Psychological thought suggests that social engagement with an environmental problem requires 1) cognitive understanding of the problem, 2) emotional engagement with the problem, and 3) perceived efficacy that there is something we can do to solve the problem. Within the water sciences, we form problem-focused, cross-disciplinary teams to help address complex water resource problems, but often we only seek teammates from other disciplines within the realms of engineering and the natural/social sciences. Here I argue that this science-centric focus fails to fully solve these water resource problems, and often the science goes unheard because it is heavily cognitive and lacks the ability to effectively engage the audience through crucial social-psychological aspects of emotion and efficacy. To solve this, future cross-disciplinary collaborations that seek to include creative actors from the worlds of art, humanities, and design can begin to provide a much stronger overlap of the cognition, emotion, and efficacy needed to communicate the science, engage the audience, and create the solutions needed to solve or world's most complex water resource problems. Disciplines across the arts, sciences, and engineering all bring unique strengths that, through collaboration, allow for uniquely creative modes of art-science overlap that can engage people through additions of emotion and efficacy that compliment the science and go beyond the traditional cognitive approach. I highlight examples of this art-science overlap in action and argue that water resource collaborations like these will be more likely to have their hydrologic science accepted and applied by those who decide on water resource solutions. For this Pop-up Talk session, I aim to share the details of this proposed framework in the context of my own research and the work of others. I hope to incite discussion regarding the utility and relevance of this framework as a future option for other water resource
Robin M. Reich; C. Aguirre-Bravo; M.S. Williams
A statistical strategy for spatial estimation and modeling of natural and environmental resource variables and indicators is presented. This strategy is part of an inventory and monitoring pilot study that is being carried out in the Mexican states of Jalisco and Colima. Fine spatial resolution estimates of key variables and indicators are outputs that will allow the...
Susan Charnley; Lee K. Cerveny
For a century, US Forest Service experimental forests and ranges (EFRs) have been a resource for scientists conducting long-term research relating to forestry and range management social science research has been limited, despite the history of occupation and current use of these sites for activities ranging from resource extraction and recreation to public education....
The Lawrence Livermore National Laboratory and four major Historically Black Colleges and Universities with strong research and development capabilities in science, engineering and computer technology have formed the Science and Engineering Alliance. Located in California, Alabama, Mississippi, Louisiana and Texas, each brings to the Alliance a tradition of research and development and educational excellence. This unique consortium is now available to perform research development and training to meet the needs of the public and private sectors. The Alliance was formed to help assure an adequate supply of top-quality minority scientists in the next century, while simultaneously meeting the research and development needs of the public and private sectors.
Patricia A. Dawson
“Why So Few? Women in Science, Technology, Engineering and Mathematics” (Hill, C., Corbett, C., Rose, A., 2010) reports on an extensive study of women’s underrepresentation in science, technology, engineering, and mathematics professions. Funded by the National Science Foundation, the project was conducted by American Association of University Women. The resource includes findings from eight research studies which examined social and environmental factors which contribute to women’s underrepr...
[Purpose/significance] The provincial academy of sciences is an important part of national-wide scientific academies and regional innovation system. Promoting the transformation of the intellectual property is an important work for provincial academy of sciences. Nobody has ever revealed the status of the intellectual property resources and its management strategy of the provincial academy of sciences. [Method/process] With the methods of bibliometrics and investigations, this paper revealed ...
Kiselyova, N N; Dudarev, V A; Zemskov, V S [A.A.Baikov Institute of Metallurgy and Materials Science, Russian Academy of Sciences, Moscow (Russian Federation)
Information systems used in inorganic chemistry and materials science are considered. The following basic trends in the development of modern information systems in these areas are highlighted: access to information via the Internet, merging of documental and factual databases, involvement of experts in the evaluation of the data reliability, supplementing databases with information analysis tools on the properties of inorganic substances and materials.
Kiselyova, N N; Dudarev, V A; Zemskov, V S
Information systems used in inorganic chemistry and materials science are considered. The following basic trends in the development of modern information systems in these areas are highlighted: access to information via the Internet, merging of documental and factual databases, involvement of experts in the evaluation of the data reliability, supplementing databases with information analysis tools on the properties of inorganic substances and materials.
Doig, Brian; Adams, Ray
If teachers do not determine children's understandings and beliefs the children cannot be challenged. Five individual units are presented that have the intention of drawing out the underlying beliefs that children hold with respect to various aspects of science. "Skateboard News" is a newsletter which discusses aspects of skateboards and…
Rengert, Arlene C., Ed.; Monk, Janice J., Ed.
Six units focusing on the effects of spatial change on women are designed to supplement college introductory courses in geography and the social sciences. Unit 1, Woman and Agricultural Landscapes, focuses on how women contributed to landscape change in prehistory, women's impact on the environment, and the hypothesis that women developed…
Full Text Available Teaching a statistics course for undergraduate computer science students can be very challenging: As statistics teachers we are usually faced with problems ranging from a complete disinterest in the subject to lack of basic knowledge in mathematics and anxiety for failing the exam, since statistics has the reputation of having high failure rates. In our case, we additionally struggle with difficulties in the timing of the lectures as well as often occurring absence of the students due to spare-time jobs or a long traveling time to the university. This paper reveals how these issues can be addressed by the introduction of a blended learning module in statistics. In the following, we describe an e-learning development process used to implement time- and location-independent learning in statistics. The study focuses on a six-step-approach for developing the blended learning module. In addition, the teaching framework for the blended module is presented, including suggestions for increasing the interest in learning the course. Furthermore, the first experimental in-class usage, including evaluation of the students’ expectations, has been completed and the outcome is discussed.
Laene de Fátima Tavares
Full Text Available ABSTRACT Experimental statistical procedures used in almost all scientific papers are fundamental for clearer interpretation of the results of experiments conducted in agrarian sciences. However, incorrect use of these procedures can lead the researcher to incorrect or incomplete conclusions. Therefore, the aim of this study was to evaluate the characteristics of the experiments and quality of the use of statistical procedures in soil science in order to promote better use of statistical procedures. For that purpose, 200 articles, published between 2010 and 2014, involving only experimentation and studies by sampling in the soil areas of fertility, chemistry, physics, biology, use and management were randomly selected. A questionnaire containing 28 questions was used to assess the characteristics of the experiments, the statistical procedures used, and the quality of selection and use of these procedures. Most of the articles evaluated presented data from studies conducted under field conditions and 27 % of all papers involved studies by sampling. Most studies did not mention testing to verify normality and homoscedasticity, and most used the Tukey test for mean comparisons. Among studies with a factorial structure of the treatments, many had ignored this structure, and data were compared assuming the absence of factorial structure, or the decomposition of interaction was performed without showing or mentioning the significance of the interaction. Almost none of the papers that had split-block factorial designs considered the factorial structure, or they considered it as a split-plot design. Among the articles that performed regression analysis, only a few of them tested non-polynomial fit models, and none reported verification of the lack of fit in the regressions. The articles evaluated thus reflected poor generalization and, in some cases, wrong generalization in experimental design and selection of procedures for statistical analysis.
The Exploratorium is a museum of science, art and human perception located in San Francisco, CA. The Exploratorium has been offering resources and professional development to primary and secondary teachers since 1972. We focus on inquiry based, hands-on learning, with an emphasis on Next Generation Science Standards (NGSS) implementation. This brief, invited presentation will feature the programs and online resources developed by the Exploratorium's "Institute for Inquiry" and "Teacher Institute" that may help formal and informal educators engage, implement and promote three dimensional learning in the Earth Sciences.
Parker, Loran Carleton; Gleichsner, Alyssa M; Adedokun, Omolola A; Forney, James
Transformation of research in all biological fields necessitates the design, analysis and, interpretation of large data sets. Preparing students with the requisite skills in experimental design, statistical analysis, and interpretation, and mathematical reasoning will require both curricular reform and faculty who are willing and able to integrate mathematical and statistical concepts into their life science courses. A new Faculty Learning Community (FLC) was constituted each year for four years to assist in the transformation of the life sciences curriculum and faculty at a large, Midwestern research university. Participants were interviewed after participation and surveyed before and after participation to assess the impact of the FLC on their attitudes toward teaching, perceived pedagogical skills, and planned teaching practice. Overall, the FLC had a meaningful positive impact on participants' attitudes toward teaching, knowledge about teaching, and perceived pedagogical skills. Interestingly, confidence for viewing the classroom as a site for research about teaching declined. Implications for the creation and development of FLCs for science faculty are discussed. © 2016 by The International Union of Biochemistry and Molecular Biology, 44(6):517-525, 2016. © 2016 The International Union of Biochemistry and Molecular Biology.
Miličić, Dragana; Jokić, Ljiljana; Blagdanić, Sanja; Jokić, Stevan
With this article we would like to stress science teachers must doing practical work and communicate on the basis of scientific knowledge and developments, but also allow their students opportunity to discover knowledge through inquiry. During the last five years Serbian project Ruka u testu (semi-mirror of the French project La main á la pâte), as well as European FIBONACCI and SUSTAIN projects have offered to our teachers the wide-scale learning opportunities based on Inquiry Based Science Education (IBSE) and Education for Sustainable Development (ESD). Our current efforts are based on pedagogical guidance, several modules and experimental kits, the website, exhibitions, and trainings and workshops for students and teachers.
Lartigue, J.; Parker, F.; Allee, R.; Young, C.
The National Oceanic and Atmospheric Administration (NOAA) RESTORE Science Program was established in the wake of the Deepwater Horizon oil spill to to carry out research, observation, and monitoring to support the long-term sustainability of the Gulf of Mexico ecosystem, including its fisheries. Administered in partnership with the US Fish and Wildlife Service, the Science Program emphasizes a connection between science and decision-making. This emphasis translated into an engagement process that allowed for resource managers and other users of information about the ecosystem to provide direct input into the science plan for the program. In developing funding opportunities, the Science Program uses structured conversations with resource managers and other decision makers to focus competitions on specific end user needs. When evaluating proposals for funding, the Science Program uses criteria that focus on applicability of a project's findings and products, end user involvement in project planning, and the approach for transferring findings and products to the end user. By including resource managers alongside scientific experts on its review panels, the Science Program ensures that these criteria are assessed from both the researcher and end user perspectives. Once funding decisions are made, the Science Program assigns a technical monitor to each award to assist with identifying and engaging end users. Sharing of best practices among the technical monitors has provided the Science Program insight on how best to bridge the gap between research and resource management and how to build successful scientist-decision maker partnerships. During the presentation, we will share two case studies: 1) design of a cooperative (fisheries scientist, fisheries managers, and fishers), Gulf-wide conservation and monitoring program for fish spawning aggregations and 2) development of habitat-specific ecosystem indicators for use by federal and state resource managers.
Byrd, Gary D; Shedlock, James
This paper presents an exploratory trend analysis of the statistics published over the past twenty-four editions of the Annual Statistics of Medical School Libraries in the United States and Canada. The analysis focuses on the small subset of nineteen consistently collected data variables (out of 656 variables collected during the history of the survey) to provide a general picture of the growth and changing dimensions of services and resources provided by academic health sciences libraries over those two and one-half decades. The paper also analyzes survey response patterns for U.S. and Canadian medical school libraries, as well as osteopathic medical school libraries surveyed since 1987. The trends show steady, but not dramatic, increases in annual means for total volumes collected, expenditures for staff, collections and other operating costs, personnel numbers and salaries, interlibrary lending and borrowing, reference questions, and service hours. However, when controlled for inflation, most categories of expenditure have just managed to stay level. The exceptions have been expenditures for staff development and travel and for collections, which have both outpaced inflation. The fill rate for interlibrary lending requests has remained steady at about 75%, but the mean ratio of items lent to items borrowed has decreased by nearly 50%.
Mather, L E; Austin, K L
Computer techniques for numerical analysis are well known to pharmacokineticists. Powerful techniques for data file management have been developed by social scientists but have, in general, been ignored by pharmacokineticists because of their apparent lack of ability to interface with pharmacokinetic programs. Extensive use has been made of the Statistical Package for the Social Sciences (SPSS) for its data handling capabilities, but at the same time, techniques have been developed within SPSS to interface with pharmacokinetic programs of the users' choice and to carry out a variety of user-defined pharmacokinetic tasks within SPSS commands, apart from the expected variety of statistical tasks. Because it is based on a ubiquitous package, this methodology has all of the benefits of excellent documentation, interchangeability between different types and sizes of machines and true portability of techniques and data files. An example is given of the total management of a pharmacokinetic study previously reported in the literature by the authors.
Introductory Statistics and Random Phenomena integrates traditional statistical data analysis with new computational experimentation capabilities and concepts of algorithmic complexity and chaotic behavior in nonlinear dynamic systems. This was the first advanced text/reference to bring together such a comprehensive variety of tools for the study of random phenomena occurring in engineering and the natural, life, and social sciences. The crucial computer experiments are conducted using the readily available computer program Mathematica® Uncertain Virtual Worlds™ software packages which optimize and facilitate the simulation environment. Brief tutorials are included that explain how to use theMathematica® programs for effective simulation and computer experiments. Large and original real-life data sets are introduced and analyzed as a model for independent study. This is an excellent classroom tool and self-study guide. The material is presented in a clear and accessible style providing numerous...
Full Text Available Through a statistical analysis of 367 sports science master′s degree thesis on Chinese traditional sport in the past five years,some conclusions can be drawn that the traditional national sports master's degree thesis should expand the theoretical depth; expand the scope of the study,in particular,focusing on some disappearing traditional national sports; regulate the types of research methods; strengthen the depth of data mining,correct thesis references. Thus can further clarify the laws of traditional sports graduate Thesis and provide references for postgraduate training.
Relative advantages/disadvantages of various techniques are presented so that the reader can be helped to understand the choices they make on using the techniques. … A considerable number of illustrations are included and the book focuses on using R for its computer software application. … A useful text for … postgraduate students in the social science disciplines.-Susan Starkings, International Statistical Review, 2012This is an interesting and valuable book … By gathering a mass of results on that topic into a single volume with references, alternative procedures, and supporting software, th
Tengberg, Anna; Valencia, Sandra
To meet multiple environmental objectives, integrated programming is becoming increasingly important for the Global Environmental Facility (GEF), the financial mechanism of the multilateral environmental agreements, including the United Nations Convention to Combat Desertification (UNCCD). Integration of multiple environmental, social and economic objectives also contributes to the achievement of the Sustainable Development Goals (SDGs) in a timely and cost-effective way. However, integration is often not well defined. This paper therefore focuses on identifying key aspects of integration and assessing their implementation in natural resources management (NRM) projects. To that end, we draw on systems thinking literature, and carry out an analysis of a random sample of GEF integrated projects and in-depth case studies demonstrating lessons learned and good practices in addressing land degradation and other NRM challenges. We identify numerous challenges and opportunities of integrated approaches that need to be addressed in order to maximise the catalytic impact of the GEF during problem diagnosis, project design, implementation and governance. We highlight the need for projects to identify clearer system boundaries and main feedback mechanisms within those boundaries, in order to effectively address drivers of environmental change. We propose a theory of change for Integrated Natural Resources Management (INRM) projects, where short-term environmental and socio-economic benefits will first accrue at the local level. Implementation of improved INRM technologies and practices at the local level can be extended through spatial planning, strengthening of innovation systems, and financing and incentive mechanisms at the watershed and/or landscape/seascape level to sustain and enhance ecosystem services at larger scales and longer time spans. We conclude that the evolving scientific understanding of factors influencing social, technical and institutional innovations and
Jung, Sook; Main, Dorrie
Recent technological advances in biology promise unprecedented opportunities for rapid and sustainable advancement of crop quality. Following this trend, the Rosaceae research community continues to generate large amounts of genomic, genetic and breeding data. These include annotated whole genome sequences, transcriptome and expression data, proteomic and metabolomic data, genotypic and phenotypic data, and genetic and physical maps. Analysis, storage, integration and dissemination of these data using bioinformatics tools and databases are essential to provide utility of the data for basic, translational and applied research. This review discusses the currently available genomics and bioinformatics resources for the Rosaceae family.
Good, G. A.
The Center for History of Physics and the associated Niels Bohr Library & Archives at the American Institute of Physics were pioneers in web resource development for education and for research in the 1990s. While these units of AIP continue to add significantly to the traditional ways of putting content before the public, they are also experimenting with blogs and Facebook, and are looking at other forms of interactive web presence. This talk explores how an active research center is trying to do both.
Davies, E.G.R.; Akhtar, M.K.; McBean, G.A.; Simonovic, S.P.
Traditional climate change modeling neglects the role of feedbacks between different components of society-biosphere-climate system. Yet, such interconnections are critical. This paper describes an alternative, Integrated Assessment (IA) model that focuses on feedbacks not only within individual elements of the society-biosphere-climate system, but also on their interconnections. The model replicates the relevant dynamics of nine components of the society-biosphere- climate system at the sectoral, or single-component, level: climate, carbon cycle, hydrological cycle, water demand, water quality, population, land use, energy and economy. The paper discusses the role of the model in science-policy dialogue. (author)
Falk, John H.; Pattison, Scott; Meier, David; Bibas, David; Livingston, Kathleen
This preliminary study examined the effect that five major sources of public science education--schools, science centers, broadcast media, print media, and the Internet--had on adults' science interest "values" and "cognitive predispositions." Over 3,000 adults were sampled in three U.S. metropolitan areas: Los Angeles,…
Buxner, S.; Grier, J.; Meinke, B. K.; Gross, N. A.; Woroner, M.
The NASA Science Education and Public Outreach (E/PO) Forums support the NASA Science Mission Directorate (SMD) and its E/PO community by enhancing the coherency and efficiency of SMD-funded E/PO programs. The Forums foster collaboration and partnerships between scientists with content expertise and educators with pedagogy expertise. We will present tools to engage and resources to support scientists' engagement in E/PO efforts. Scientists can get connected to educators and find support materials and links to resources to support their E/PO work through the online SMD E/PO community workspace (http://smdepo.org) The site includes resources for scientists interested in E/PO including one page guides about "How to Get Involved" and "How to Increase Your Impact," as well as the NASA SMD Scientist Speaker's Bureau to connect scientists to audiences across the country. Additionally, there is a set of online clearinghouses that provide ready-made lessons and activities for use by scientists and educators: NASA Wavelength (http://nasawavelength.org/) and EarthSpace (http://www.lpi.usra.edu/earthspace/). The NASA Forums create and partner with organizations to provide resources specifically for undergraduate science instructors including slide sets for Earth and Space Science classes on the current topics in astronomy and planetary science. The Forums also provide professional development opportunities at professional science conferences each year including AGU, LPSC, AAS, and DPS to support higher education faculty who are teaching undergraduate courses. These offerings include best practices in instruction, resources for teaching planetary science and astronomy topics, and other special topics such as working with diverse students and the use of social media in the classroom. We are continually soliciting ways that we can better support scientists' efforts in effectively engaging in E/PO. Please contact Sanlyn Buxner (firstname.lastname@example.org) or Jennifer Grier (email@example.com) to
Barbour, Emily; Allan, Andrew; Whitehead, Paul; Salehin, Mashfiqus; Lazzar, Attila; Lim, Michelle; Munsur Rahman, Md.
Successful management of water resources requires an integrated approach considering the complex relationships between different biophysical processes, governance frameworks and socio-economic factors. The Ecosystem Services for Poverty Alleviation (ESPA) Deltas project has developed a range of socio-economic scenarios using a participatory approach, and applied these across different biophysical models as well as an integrated environmental, socio-economic model of the Ganges-Brahmaputra-Meghna (GBM) Delta. This work demonstrates a novel approach through the consideration of multiple ecosystem services and related socio-economic factors in the development of scenarios; the application of these to multiple models at multiple scales; and the participatory approach to improve project outcomes and engage national level stakeholders and policy makers. Scenarios can assist in planning for an uncertain future through exploring plausible alternatives. To adequately assess the potential impacts of future changes and management strategies on water resources, the wider biophysical, socio-economic and governance context needs to be considered. A series of stakeholder workshops have been held in Bangladesh to identify issues of main concern relating to the GBM Delta; to iteratively develop scenario narratives for business as usual, less sustainable, and more sustainable development pathways; and to translate these qualitative scenarios into a quantitative form suitable for analysis. The combined impact of these scenarios and climate change on water quantity and quality within the GBM Basin are demonstrated. Results suggest that climate change is likely to impact on both peak and low flows to a greater extent than most socio-economic changes. However, the diversion of water from the Ganges and Brahmaputra has the potential to significantly impact on water availability in Bangladesh depending on the timing and quantity of diversions. Both climate change and socio
Paradis, Lynne Darlene
This interpretive research study explored the experiences of teachers with the use of the Zoology Zone multimedia resource in teaching grade three science. Four generalist teachers used the multimedia resource in the teaching of the Animal Life Cycle topic from the Alberta grade three science program. The experiences of the teachers were examined through individual interviews, classroom visits and group interviews. Three dimensions of the study, as they related to elementary science teaching using the Zoology Zone multimedia resource were examined: (a) technology as a teaching resource, (b) science education and constructivist theory, and (c) teacher learning. In the area of planning for instruction, the teachers found that using the multimedia resource demanded more time and effort than using non-computer resources because of the dependence teachers had on others for ensuring access to computer labs and setting up the multimedia resource to run on school computers. The teachers felt there was value in giving students the opportunity to independently explore the multimedia resource because it captured their attention, included appropriate content, and was designed so that students could navigate through the teaming activities easily and make choices about how to proceed with their own learning. Despite the opportunities for student directed learning, the teachers found that it was also necessary to include some teacher directed learning to ensure that students were learning the mandated curriculum. As the study progressed, it became evident that the teachers valued the social dimensions of learning by making it a priority to include lessons that encouraged student to student interaction, student to teacher interaction, small group and whole class discussion, and peer teaching. When students were engaged with the multimedia resource, the teacher facilitated learning by circulating to each student and discussing student findings. Teachers focussed primarily on the
Robin M. Reich; Hans T. Schreuder
The sampling strategy involving both statistical and in-place inventory information is presented for the natural resources project of the Green Belt area (Centuron Verde) in the Mexican state of Jalisco. The sampling designs used were a grid based ground sample of a 90x90 m plot and a two-stage stratified sample of 30 x 30 m plots. The data collected were used to...
Jian , Ma
International audience; First, current situation on Network of agricultural science and technology resources is described. Then we pay much attention to the quality of service monitoring and analysis system of network resources. And finally, we come to the conclusion that the construction of Quality of service monitoring, analysis of network of agricultural science and technology resources is in great need.
Nolan, V.P.; Weltzin, J.F.
Fourth USA National Phenology Network (USA-NPN) Research Coordination Network (RCN) Annual Meeting and Stakeholders Workshop; Milwaukee, Wisconsin, 21-22 September 2010; Phenology, the study of recurring plant and animal life cycle events, is rapidly emerging as a fundamental approach for understanding how ecological systems respond to environmental variation and climate change. The USA National Phenology Network (USA-NPN; http://www.usanpn.org) is a large-scale network of governmental and nongovernmental organizations, academic institutions, resource management agencies, and tribes. The network is dedicated to conducting and promoting repeated and integrated plant and animal phenological observations, identifying linkages with other relevant biological and physical data sources, and developing and distributing the tools to analyze these data at local to national scales. The primary goal of the USA-NPN is to improve the ability of decision makers to design strategies for climate adaptation.
Woodcock, Robert; Angreani, Rini; Cox, Simon; Fraser, Ryan; Golodoniuc, Pavel; Klump, Jens; Rankine, Terry; Robertson, Jess; Vote, Josh
The CSIRO Mineral Resources Flagship was established to tackle medium- to long-term challenges facing the Australian mineral industry across the value chain from exploration and mining through mineral processing within the framework of an economically, environmentally and socially sustainable minerals industry. This broad portfolio demands collaboration and data exchange with a broad range of participants and data providers across government, research and industry. It is an ideal environment to link geoscience informatics platforms to application across the resource extraction industry and to unlock the value of data integration between traditionally discrete parts of the minerals digital value chain. Despite the potential benefits, data integration remains an elusive goal within research and industry. Many projects use only a subset of available data types in an integrated manner, often maintaining the traditional discipline-based data 'silos'. Integrating data across the entire minerals digital value chain is an expensive proposition involving multiple disciplines and, significantly, multiple data sources both internal and external to any single organisation. Differing vocabularies and data formats, along with access regimes to appropriate analysis software and equipment all hamper the sharing and exchange of information. AuScope has addressed the challenge of data exchange across organisations nationally, and established a national geosciences information infrastructure using open standards-based web services. Federated across a wide variety of organisations, the resulting infrastructure contains a wide variety of live and updated data types. The community data standards and infrastructure platforms that underpin AuScope provide important new datasets and multi-agency links independent of software and hardware differences. AuScope has thus created an infrastructure, a platform of technologies and the opportunity for new ways of working with and integrating
Tratnyek, Paul G; Bylaska, Eric J; Weber, Eric J
Quantitative structure-activity relationships (QSARs) have long been used in the environmental sciences. More recently, molecular modeling and chemoinformatic methods have become widespread. These methods have the potential to expand and accelerate advances in environmental chemistry because they complement observational and experimental data with "in silico" results and analysis. The opportunities and challenges that arise at the intersection between statistical and theoretical in silico methods are most apparent in the context of properties that determine the environmental fate and effects of chemical contaminants (degradation rate constants, partition coefficients, toxicities, etc.). The main example of this is the calibration of QSARs using descriptor variable data calculated from molecular modeling, which can make QSARs more useful for predicting property data that are unavailable, but also can make them more powerful tools for diagnosis of fate determining pathways and mechanisms. Emerging opportunities for "in silico environmental chemical science" are to move beyond the calculation of specific chemical properties using statistical models and toward more fully in silico models, prediction of transformation pathways and products, incorporation of environmental factors into model predictions, integration of databases and predictive models into more comprehensive and efficient tools for exposure assessment, and extending the applicability of all the above from chemicals to biologicals and materials.
Ferrero, Richard C.; Kolak, Jonathan J.; Bills, Donald J.; Bowen, Zachary H.; Cordier, Daniel J.; Gallegos, Tanya J.; Hein, James R.; Kelley, Karen D.; Nelson, Philip H.; Nuccio, Vito F.; Schmidt, Jeanine M.; Seal, Robert R.
The economy, national security, and standard of living of the United States depend heavily on adequate and reliable supplies of energy and mineral resources. Based on population and consumption trends, the Nation’s use of energy and minerals can be expected to grow, driving the demand for ever broader scientific understanding of resource formation, location, and availability. In addition, the increasing importance of environmental stewardship, human health, and sustainable growth places further emphasis on energy and mineral resources research and understanding. Collectively, these trends in resource demand and the interconnectedness among resources will lead to new challenges and, in turn, require cutting- edge science for the next generation of societal decisions. The long and continuing history of U.S. Geological Survey contributions to energy and mineral resources science provide a solid foundation of core capabilities upon which new research directions can grow. This science strategy provides a framework for the coming decade that capitalizes on the growth of core capabilities and leverages their application toward new or emerging challenges in energy and mineral resources research, as reflected in five interrelated goals.
Full Text Available A fundamental key for enterprise users is a cloud-based parameter-driven statistical service and it has become a substantial impact on companies worldwide. In this paper, we demonstrate the statistical analysis for some certain criteria that are related to data and applied to the cloud server for a comparison of results. In addition, we present a statistical analysis and cloud-based resource allocation method for a heterogeneous platform environment by performing a data and information analysis with consideration of the application workload and the server capacity, and subsequently propose a service prediction model using a polynomial regression model. In particular, our aim is to provide stable service in a given large-scale enterprise cloud computing environment. The virtual machines (VMs for cloud-based services are assigned to each server with a special methodology to satisfy the uniform utilization distribution model. It is also implemented between users and the platform, which is a main idea of our cloud computing system. Based on the experimental results, we confirm that our prediction model can provide sufficient resources for statistical services to large-scale users while satisfying the uniform utilization distribution.
Donald R. Gedney; Patricia M. Bassett; Mary A. Mei
This report summarizes a 1985-86 timber resource inventory of the non-Federal forest land in the four counties (Benton, Lane, Lincoln, and Linn) in west-central Oregon. Detailed tables of forest area, timber volume, growth, mortality, and harvest are presented.
Donald R. Gedney; Patricia M. Bassett; Mary A. Mei
This report summarizes a 1987 timber resource inventory of all forest land, except National Forests, in the 17 counties (Baker, Crook, Deschutes, Gilliam, Grant, Harney, Jefferson, Klamath, Lake, Malheur, Morrow, Sherman, Umatilla, Union, Wallowa, Wasco, and Wheeler Counties) in eastern Oregon. Detailed tables of forest area, timber volume, growth, mortality, and...
Donald R. Gedney; Patricia M. Bassett; Mary A. Mei
This report summarizes a 1986 timber resource inventory of the non-Federal forest land in the 10 counties (Clackamas, Clatsop, Columbia, Hood River, Marion, Multnomah , Polk, Tillamook, Washington, and Yamhill) in northwest Oregon. Detailed tables of forest area, timber volume, growth, mortality, and harvest are presented.
Purpose: The purpose of this paper is to quantify the use of electronic journals in comparison with the print collections in the Guru Gobind Singh Indraprastha University Library. Design/methodology/approach: A detailed analysis was made of the use of lending services, the Xerox facility and usage of electronic journals such as Science Direct,…
Nguyen, Hung T; Wu, Berlin; Xiang, Gang
In many practical situations, we are interested in statistics characterizing a population of objects: e.g. in the mean height of people from a certain area. Most algorithms for estimating such statistics assume that the sample values are exact. In practice, sample values come from measurements, and measurements are never absolutely accurate. Sometimes, we know the exact probability distribution of the measurement inaccuracy, but often, we only know the upper bound on this inaccuracy. In this case, we have interval uncertainty: e.g. if the measured value is 1.0, and inaccuracy is bounded by 0.1, then the actual (unknown) value of the quantity can be anywhere between 1.0 - 0.1 = 0.9 and 1.0 + 0.1 = 1.1. In other cases, the values are expert estimates, and we only have fuzzy information about the estimation inaccuracy. This book shows how to compute statistics under such interval and fuzzy uncertainty. The resulting methods are applied to computer science (optimal scheduling of different processors), to in...
Egger, A. E.
The Next Generation Science Standards (NGSS) promote a fundamental shift in the way science is taught. The new focus is on three-dimensional learning, which brings science and engineering practices together with disciplinary core ideas and cross-cutting concepts. A key component is performance expectations rather than bullet lists of content that students should know. One of the stated goals is that "all students should have sufficient knowledge of science and engineering to engage in public discussions on related issues." While the NGSS were developed for K-12, college instructors benefit from familiarity with them in two critical ways: first, they provide a research-based and clearly articulated approach to three-dimensional learning that applies across the grade spectrum, and second, future K-12 teachers are sitting in their college-level science courses, and awareness of the skills those future teachers need can help direct course design. More specifically, while most college-level science courses make use of the science and engineering practices described in the NGSS, few offer explicit instruction in them or how they intertwine with disciplinary core ideas and cross-cutting concepts. Yet this explicit instruction is critical to building scientific literacy in future teachers—and all students. Many textbooks and laboratory courses limit a discussion of the process of science to one chapter or exercise, and expect students to be able to apply those concepts. In contrast, new resources from Visionlearning (http://www.visionlearning.com), InTeGrate (http://serc.carleton.edu/integrate), and other projects hosted at the Science Education Resource Center (http://serc.carleton.edu) were developed with explicit and pervasive integration of the nature and practices of science in mind. These freely available, classroom-tested and reviewed resources support instructors in introductory/general education courses as well as teacher preparation and more advanced courses.
McEntyre, Johanna R; Ananiadou, Sophia; Andrews, Stephen; Black, William J; Boulderstone, Richard; Buttery, Paula; Chaplin, David; Chevuru, Sandeepreddy; Cobley, Norman; Coleman, Lee-Ann; Davey, Paul; Gupta, Bharti; Haji-Gholam, Lesley; Hawkins, Craig; Horne, Alan; Hubbard, Simon J; Kim, Jee-Hyub; Lewin, Ian; Lyte, Vic; MacIntyre, Ross; Mansoor, Sami; Mason, Linda; McNaught, John; Newbold, Elizabeth; Nobata, Chikashi; Ong, Ernest; Pillai, Sharmila; Rebholz-Schuhmann, Dietrich; Rosie, Heather; Rowbotham, Rob; Rupp, C J; Stoehr, Peter; Vaughan, Philip
UK PubMed Central (UKPMC) is a full-text article database that extends the functionality of the original PubMed Central (PMC) repository. The UKPMC project was launched as the first 'mirror' site to PMC, which in analogy to the International Nucleotide Sequence Database Collaboration, aims to provide international preservation of the open and free-access biomedical literature. UKPMC (http://ukpmc.ac.uk) has undergone considerable development since its inception in 2007 and now includes both a UKPMC and PubMed search, as well as access to other records such as Agricola, Patents and recent biomedical theses. UKPMC also differs from PubMed/PMC in that the full text and abstract information can be searched in an integrated manner from one input box. Furthermore, UKPMC contains 'Cited By' information as an alternative way to navigate the literature and has incorporated text-mining approaches to semantically enrich content and integrate it with related database resources. Finally, UKPMC also offers added-value services (UKPMC+) that enable grantees to deposit manuscripts, link papers to grants, publish online portfolios and view citation information on their papers. Here we describe UKPMC and clarify the relationship between PMC and UKPMC, providing historical context and future directions, 10 years on from when PMC was first launched.
Mawyer, Kirsten Kamaile Noelani
Scientific literacy is at the heart of science reform (AAAS, 1989; 1993: NRC, 1996). These initiatives advocate inquiry-based science education reform that promotes scientific literacy as the prerequisite ability to both understand and apply fundamental scientific ideas to real-world problems and issues involving science, technology, society and the environment. It has been argued that literacy, the very ability to read and write, is foundational to western science and is essential for the attainment of scientific literacy and the reform of science education in this country (Norris & Phillips, 2004). With this wave of reform comes the need to study initiatives that seek to support science teachers, as they take on the task of becoming teachers of literacy in the secondary science classroom. This qualitative research examines one such initiative that supports and guides teachers implementing literacy strategies designed to help students develop reading skills that will allow them to read closely, effectively, and with greater comprehension of texts in the context of science. The goal of this study is to gather data as teachers learn about literacy strategies through supports built into curricular materials, professional development, and implementation in the classroom. In particular, this research follows four secondary science teachers implementing literacy strategies as they enact a yearlong earth and environmental science course comprised of two different reform science curricula. The findings of this research suggest teacher's development of teacher cognitive resources bearing on Teaching & Design can be dynamic or static. They also suggest that the development of pedagogical design capacity (PDC) can be either underdeveloped or emergent. This study contributes to current understandings of the participatory relationship between curricular resources and teacher cognitive resources that reflects the design decision of teachers. In particular, it introduces a
Dierdorp, Adri; Bakker, Arthur; van Maanen, Jan A.; Eijkelhof, Harrie M. C.
Background: Creating coherence between school subjects mathematics and science and making these school subjects meaningful are still topical challenges. This study investigates how students make meaningful connections between mathematics, statistics, science and applications when they engage in a specially developed unit that is based on…
The gap in statistics between multi-variate and time-series analysis can be bridged by using entropy statistics and recent developments in multi-dimensional scaling. For explaining the evolution of the sciences as non-linear dynamics, the configurations among variables can be important in addition
Wolfe, Amy K [ORNL; Dale, Virginia H [ORNL; Arthur, Taryn A [ORNL; Baskaran, Latha Malar [ORNL
This chapter approaches participatory modeling in environmental decision making from an atypical perspective. It broadly addresses the question of how to assure that science conducted to assist practitioners improves resource management. More specifically, it describes a case involving environmental science and natural resource management at Fort Benning, a U.S. Army installation in the southeastern United States where disparate environmental research projects were funded by a single federal agency to enhance the ability of Fort Benning resource managers to achieve their resource management goals. The role of our effort was to integrate the scientific studies in a manner that would be meaningful and useful for resource managers. Hence we assembled a team consisting of an anthropologist, ecologist, microbiologist, statistician, and geographic information systems specialist who developed a common framework that served as the basis for this integration. The team first used a Delphi expert elicitation, which evolved into an approach more akin to facilitated negotiation. This second approach arose organically, particularly when our team took advantage of an opportunity for face-to-face interaction. Although the shift in our approach was unplanned, it proved to be highly productive. We discuss the potential utility of our approach for other situations and suggest that it would be useful to initiate at the beginning of research where the aim is to produce scientific results that meet practitioners needs, specifically in the realm of environmental science and resource management.
Darnell, Doyanne; Dorsey, Caitlin N; Melvin, Abigail; Chi, Jonathan; Lyon, Aaron R; Lewis, Cara C
The recent growth in organized efforts to advance dissemination and implementation (D & I) science suggests a rapidly expanding community focused on the adoption and sustainment of evidence-based practices (EBPs). Although promising for the D & I of EBPs, the proliferation of initiatives is difficult for any one individual to navigate and summarize. Such proliferation may also result in redundant efforts or missed opportunities for participation and advancement. A review of existing D & I science resource initiatives and their unique merits would be a significant step for the field. The present study aimed to describe the global landscape of these organized efforts to advance D & I science. We conducted a content analysis between October 2015 and March 2016 to examine resources and characteristics of D & I science resource initiatives using public, web-based information. Included resource initiatives must have engaged in multiple efforts to advance D & I science beyond conferences, offered D & I science resources, and provided content in English. The sampling method included an Internet search using D & I terms and inquiry among internationally representative D & I science experts. Using a coding scheme based on a priori and grounded approaches, two authors consensus coded website information including interactive and non-interactive resources and information regarding accessibility (membership, cost, competitive application, and location). The vast majority (83%) of resource initiatives offered at least one of seven interactive resources (consultation/technical assistance, mentorship, workshops, workgroups, networking, conferences, and social media) and one of six non-interactive resources (resource library, news and updates from the field, archived talks or slides, links pages, grant writing resources, and funding opportunities). Non-interactive resources were most common, with some appearing frequently across resource initiatives (e.g., news and updates from the
Full Text Available Abstract Background The recent growth in organized efforts to advance dissemination and implementation (D & I science suggests a rapidly expanding community focused on the adoption and sustainment of evidence-based practices (EBPs. Although promising for the D & I of EBPs, the proliferation of initiatives is difficult for any one individual to navigate and summarize. Such proliferation may also result in redundant efforts or missed opportunities for participation and advancement. A review of existing D & I science resource initiatives and their unique merits would be a significant step for the field. The present study aimed to describe the global landscape of these organized efforts to advance D & I science. Methods We conducted a content analysis between October 2015 and March 2016 to examine resources and characteristics of D & I science resource initiatives using public, web-based information. Included resource initiatives must have engaged in multiple efforts to advance D & I science beyond conferences, offered D & I science resources, and provided content in English. The sampling method included an Internet search using D & I terms and inquiry among internationally representative D & I science experts. Using a coding scheme based on a priori and grounded approaches, two authors consensus coded website information including interactive and non-interactive resources and information regarding accessibility (membership, cost, competitive application, and location. Results The vast majority (83% of resource initiatives offered at least one of seven interactive resources (consultation/technical assistance, mentorship, workshops, workgroups, networking, conferences, and social media and one of six non-interactive resources (resource library, news and updates from the field, archived talks or slides, links pages, grant writing resources, and funding opportunities. Non-interactive resources were most common, with some appearing frequently across
Jiang, Wei; Jiang, Ke; Ma, Yue
In this paper, we are interested in resource allocation for energy constrained and security-critical embedded systems. Tasks in such systems need to be successfully executed under certain energy budget and be robust against serious security threatens. Different to former energy minimal scheduling...... energy slack ratio. The proposed algorithm is very efficient in both time and space dimensions, and achieves good solutions. Extensive simulations demonstrate the superiority of our algorithm over other approaches....
Kelly, Mark C.; Ejsing Jørgensen, Hans
In this work we relate uncertainty in background roughness length (z0) to uncertainty in wind speeds, where the latter are predicted at a wind farm location based on wind statistics observed at a different site. Sensitivity of predicted winds to roughness is derived analytically for the industry...... between mean wind speed and AEP. Following our developments, we provide guidance on approximate roughness uncertainty magnitudes to be expected in industry practice, and we also find that sites with larger background roughness incur relatively larger uncertainties.......-standard European Wind Atlas method, which is based on the geostrophic drag law. We statistically consider roughness and its corresponding uncertainty, in terms of both z0 derived from measured wind speeds as well as that chosen in practice by wind engineers. We show the combined effect of roughness uncertainty...
吴占福; 马旭平; 李亚奎
为动物科学研究中的数据处理,介绍一个实用软件工具.SPSS(Statistical Package for Social Science)是目前国际最流行并具有权威性的统计分析软件之一,利用SPSS统计软件进行数据分析处理具有简单、方便、快速、准确等特点.就SPSS主要窗口功能、数据文件建立和数据转换等方面内容做一简介,以满足广大畜牧兽医研究工作者对科研数据处理的要求.
Gelman, Andrew; Geurts, Hilde M
There is currently increased attention to the statistical (and replication) crisis in science. Biomedicine and social psychology have been at the heart of this crisis, but similar problems are evident in a wide range of fields. We discuss three examples of replication challenges from the field of social psychology and some proposed solutions, and then consider the applicability of these ideas to clinical neuropsychology. In addition to procedural developments such as preregistration and open data and criticism, we recommend that data be collected and analyzed with more recognition that each new study is a part of a learning process. The goal of improving neuropsychological assessment, care, and cure is too important to not take good scientific practice seriously.
This annual publication of statistics relating to the New South Wales Mining Industry supplements the annual report of the Department of Mineral Resources. The document focuses on providing detailed statistics on production, value of production, employment and value added statistics for each of the energy and non-energy resource sectors for the financial year 1980 to 1981. For comparative purposes corresponding figures are provided for the previous year.
Lee, Sang Eun
This dissertation examines gender differences in career advancement outcomes among academic science, technology, engineering and mathematics (STEM) scientists. In particular, this research examines effects of gender, PhD advisors and postdoctoral supervisors mentoring resources and gender homophily in the mentoring dyads on the career advancement…
Butterfield, Ruth I.; And Others
This document, the fourth in a series of resource guides emphasizing economic-political analysis of contemporary public policies and issues, focuses on crime control. Designed as a three-week unit for secondary school students, the guide is presented in three sections. The introduction presents an economic and a political science framework for…
California State Dept. of Education, Sacramento.
This packet of maps is an auxiliary resource to the "World History and Geography: Medieval and Early Modern Times. Course Models for the History-Social Science Framework, Grade Seven." The set includes: outline, precipitation, and elevation maps; maps for locating key places; landform maps; and historical maps. The list of maps are…
Blumberg, Roger B.
This paper describes a hypermedia resource, called MendelWeb that integrates elementary biology, discrete mathematics, and the history of science. MendelWeb is constructed from Gregor Menders 1865 paper, "Experiments in Plant Hybridization". An English translation of Mendel's paper, which is considered to mark the birth of classical and…
The aim of this case study was to explore health-education students' personal and collaborative meaning making activities during an online science philosophy course in the higher-education context. Through applying the dialogical perspective for learning, the focus was on studying how different contextual resources were used in building…
Roger N. Clark; Errol E. Meidinger
Relations between science and policy concerning many issues (e.g., health, energy, natural resources) have been changing worldwide. Public pressure to resolve such complex and often controversial issues has resulted in policymakers and policy implementers seeking better knowledge on which to base their decisions. As a result, scientists have become more actively...
Shittu, Ahmed Tajudeen; Kareem, Bamidele Wahab; Obielodan, Omotayo Olabo; Fakomogbon, Michael Ayodele
This study examined predictors of pre-service science teachers' behavioral intention toward e-resources use for teaching in Nigeria. The study used cross-sectional survey research method and a questionnaire with a set of items that measure technology preparedness, perceived usefulness, perceived ease of use and behavioral intention to gather the…
Letchford, Julie; Corradi, Hazel; Day, Trevor
An important aim of undergraduate science education is to develop student skills in reading and evaluating research papers. We have designed, developed, and implemented an on-line interactive resource entitled "Evaluating Scientific Research literature" (ESRL) aimed at students from the first 2 years of the undergraduate program. In this…
Serra J. Hoagland
Traditional ecological knowledge (TEK) has been recognized within indigenous communities for millennia; however, traditional ecological knowledge has received growing attention within the western science (WS) paradigm over the past twenty-five years. Federal agencies, national organizations, and university programs dedicated to natural resource management are beginning...
Full Text Available Effective natural resource policy depends on knowing what is needed to sustain a resource and building the capacity to identify, develop, and implement flexible policies. This retrospective case study applies resilience concepts to a 16-year citizen science program and vernal pool regulatory development process in Maine, USA. We describe how citizen science improved adaptive capacities for innovative and effective policies to regulate vernal pools. We identified two core program elements that allowed people to act within narrow windows of opportunity for policy transformation, including (1 the simultaneous generation of useful, credible scientific knowledge and construction of networks among diverse institutions, and (2 the formation of diverse leadership that promoted individual and collective abilities to identify problems and propose policy solutions. If citizen science program leaders want to promote social-ecological systems resilience and natural resource policies as outcomes, we recommend they create a system for internal project evaluation, publish scientific studies using citizen science data, pursue resources for program sustainability, and plan for leadership diversity and informal networks to foster adaptive governance.
Tratnyek, P. G.; Bylaska, Eric J.; Weber, Eric J.
Quantitative structure–activity relationships (QSARs) have long been used in the environmental sciences. More recently, molecular modeling and chemoinformatic methods have become widespread. These methods have the potential to expand and accelerate advances in environmental chemistry because they complement observational and experimental data with “in silico” results and analysis. The opportunities and challenges that arise at the intersection between statistical and theoretical in silico methods are most apparent in the context of properties that determine the environmental fate and effects of chemical contaminants (degradation rate constants, partition coefficients, toxicities, etc.). The main example of this is the calibration of QSARs using descriptor variable data calculated from molecular modeling, which can make QSARs more useful for predicting property data that are unavailable, but also can make them more powerful tools for diagnosis of fate determining pathways and mechanisms. Emerging opportunities for “in silico environmental chemical science” are to move beyond the calculation of specific chemical properties using statistical models and toward more fully in silico models, prediction of transformation pathways and products, incorporation of environmental factors into model predictions, integration of databases and predictive models into more comprehensive and efficient tools for exposure assessment, and extending the applicability of all the above from chemicals to biologicals and materials.
Full Text Available This article presents a quantitative approach to restructuring public and public utility enterprises, particularly during downsizing requests. The large number of employees in the public sector can be one of the causes for economic instability at country level. That is particularly visible in the context of the euro zone crisis and economic/political instability in countries like Greece, Portugal, Ireland, Spain and Italy. Our approach is based on the statistical analysis of productivity oscillation and setting of performance standards in public and public utility enterprises based on the aforementioned productivity. Data background is given through job descriptions, organizational charts, salary reports and monthly performance reports, in most cases part of organizational information systems. It is recommended for quantitative data to be analyzed on a monthly basis, during a period of 30 or more months. Our method increases procedural fairness and accuracy, because quantitative, statistical, impartial and objective approach is applied for estimating parameters which could be related to downsizing. However, the application of this method is not limited to downsizing, as during its application in more than 20 public and public utility enterprises it was sometimes applied to increase output or reduce costs not necessarily connected to labour. Although it finally refers to downsizing, this method can provide fairer and more impartial approach than the subjective estimate of employee surplus, and its arbitral distribution within the enterprise.
Full Text Available In this work we relate uncertainty in background roughness length (z0 to uncertainty in wind speeds, where the latter are predicted at a wind farm location based on wind statistics observed at a different site. Sensitivity of predicted winds to roughness is derived analytically for the industry-standard European Wind Atlas method, which is based on the geostrophic drag law. We statistically consider roughness and its corresponding uncertainty, in terms of both z0 derived from measured wind speeds as well as that chosen in practice by wind engineers. We show the combined effect of roughness uncertainty arising from differing wind-observation and turbine-prediction sites; this is done for the case of roughness bias as well as for the general case. For estimation of uncertainty in annual energy production (AEP, we also develop a generalized analytical turbine power curve, from which we derive a relation between mean wind speed and AEP. Following our developments, we provide guidance on approximate roughness uncertainty magnitudes to be expected in industry practice, and we also find that sites with larger background roughness incur relatively larger uncertainties.
Searing, Susan, Comp.; Shult, Linda, Comp.
Two bibliographies list over 120 books, journal articles, reference materials, statistical sources, organizations, and media relevant to women's roles in science and in information technology. The first bibliography emphasizes books, most of which were published in the late 1970's and the 1980's, that present a feminist critique of scientific…
Glynn, P. D.; Jones, J. W.; Liu, S. B.; Shapiro, C. D.; Jenter, H. L.; Hogan, D. M.; Govoni, D. L.; Poore, B. S.
We describe a conceptual framework for Citizen Science that can be applied to improve the understanding and management of natural resources and environments. For us, Citizen Science represents an engagement from members of the public, usually volunteers, in collaboration with paid professionals and technical experts to observe and understand natural resources and environments for the benefit of science and society. Our conceptual framework for Citizen Science includes crowdsourcing of observations (or sampling). It considers a wide range of activities, including volunteer and professional monitoring (e.g. weather and climate variables, water availability and quality, phenology, biota, image capture and remote sensing), as well as joint fact finding and analyses, and participatory mapping and modeling. Spatial distribution and temporal dynamics of the biophysical processes that control natural resources and environments are taken into account within this conceptual framework, as are the availability, scaling and diversity of tools and efforts that are needed to properly describe these biophysical processes. Opportunities are sought within the framework to properly describe, QA/QC, archive, and make readily accessible, the large amounts of information and traceable knowledge required to better understand and manage natural resources and environments. The framework also considers human motivational needs, primarily through a modern version of Maslow's hierarchy of needs. We examine several USGS-based Citizen Science efforts within the context of our framework, including the project called "iCoast - Did the Coast Change?", to understand the utility of the framework, its costs and benefits, and to offer concrete examples of how to expand and sustain specific projects. We make some recommendations that could aid its implementation on a national or larger scale. For example, implementation might be facilitated (1) through greater engagement of paid professionals, and (2
The access to safe drinking water is essential for the well being of the population. The spread of micropollutant contamination jeopardise many freshwater reservoirs, and is a serious threat for human health, especially because of its long-term effects. To asses the threat of contamination, models...... to model. The identification of dominant processes is an essential step in the understanding of system behaviour, because it enables the development of simplified models that can approximate the fate of contaminants with the best trade-off between model complexity and reliability of results. In this thesis......, global sensitivity analysis techniques are used to assess detailed models in order to identify the main processes involved in the degradation of chlorinated solvents in the subsurface, and in the transport of pesticides from surface water into nearby wells in confined aquifers. Statistical techniques...
Pirkle, F.L.; Stablein, N.K.; Howell, J.A.; Wecksung, G.W.; Duran, B.S.
One objective of the aerial radiometric surveys flown as part of the US Department of Energy's National Uranium Resource Evaluation (NURE) program was to ascertain the regional distribution of near-surface radioelement abundances. Some method for identifying groups of observations with similar radioelement values was therefore required. It is shown in this report that cluster analysis can identify such groups even when no a priori knowledge of the geology of an area exists. A method of convergent k-means cluster analysis coupled with a hierarchical cluster analysis is used to classify 6991 observations (three radiometric variables at each observation location) from the Precambrian rocks of the Copper Mountain, Wyoming, area. Another method, one that combines a principal components analysis with a convergent k-means analysis, is applied to the same data. These two methods are compared with a convergent k-means analysis that utilizes available geologic knowledge. All three methods identify four clusters. Three of the clusters represent background values for the Precambrian rocks of the area, and one represents outliers (anomalously high 214 Bi). A segmentation of the data corresponding to geologic reality as discovered by other methods has been achieved based solely on analysis of aerial radiometric data. The techniques employed are composites of classical clustering methods designed to handle the special problems presented by large data sets. 20 figures, 7 tables
Falkner, Katrina; Vivian, Rebecca
To support teachers to implement Computer Science curricula into classrooms from the very first year of school, teachers, schools and organisations seek quality curriculum resources to support implementation and teacher professional development. Until now, many Computer Science resources and outreach initiatives have targeted K-12 school-age…
Arora, Vishal S; Karanikolos, Marina; Clair, Amy; Reeves, Aaron; Stuckler, David; McKee, Martin
Social and economic policies are inextricably linked with population health outcomes in Europe, yet few datasets are able to fully explore and compare this relationship across European countries. The European Union Statistics on Income and Living Conditions (EU-SILC) survey aims to address this gap using microdata on income, living conditions and health. EU-SILC contains both cross-sectional and longitudinal elements, with nationally representative samples of individuals 16 years and older in 28 European Union member states as well as Iceland, Norway and Switzerland. Data collection began in 2003 in Belgium, Denmark, Ireland, Greece, Luxembourg and Austria, with subsequent expansion across Europe. By 2011, all 28 EU member states, plus three others, were included in the dataset. Although EU-SILC is administered by Eurostat, the data are output-harmonized so that countries are required to collect specified data items but are free to determine sampling strategies for data collection purposes. EU-SILC covers approximately 500,000 European residents for its cross-sectional survey annually. Whereas aggregated data from EU-SILC are publicly available [http://ec.europa.eu/eurostat/web/income-and-living-conditions/data/main-tables], microdata are only available to research organizations subject to approval by Eurostat. Please refer to [http://epp.eurostat.ec.europa.eu/portal/page/portal/microdata/eu_silc] for further information regarding microdata access. © The Author 2015; all rights reserved. Published by Oxford University Press on behalf of the International Epidemiological Association.
Metes, J.; Ballard, H. L.; Parrish, J.
As many scholars and practitioners in the environmental field turn to citizen science to collect robust scientific data as well as engage with wider audiences, it is crucial to build a more complete understanding of how citizen science influences and affects different interests within a social-ecological system. This research investigates how federal, state, and tribal natural resource managers interact with data from the Coastal Observation & Seabird Survey Team (COASST) project—a citizen science program that trains participants to monitor species and abundance of beach-cast birds on the Pacific Northwest Coast. Fifteen coastal and fisheries managers who previously requested COASST data were interviewed about how and why they used data from the project and were asked to describe how information gained from COASST affected their management decisions. Results suggest that broadly, managers value and learn from the program's capacity to gather data spanning a wide spatial-temporal range. This contribution to baseline monitoring helps managers signal and track both short- and long-term environmental change. More specifically, managers use COASST data in conjunction with other professional monitoring programs, such as the National Marine Fisheries Observer Program, to build higher degrees of reliability into management decisions. Although managers offered diverse perspectives and experiences about what the role of citizen science in natural resource management generally should be, there was agreement that agencies on their own often lack personnel and funding required to sufficiently monitor many crucial resources. Additionally, managers strongly suggested that COASST and other citizen science projects increased public awareness and support for agency decision-making and policies, and indirect yet important contribution to natural resource management.
Wicker, James Eric
Modern methods of statistical and computational analysis offer solutions to dilemmas confronting researchers in physical science. Although the ideas behind modern statistical and computational analysis methods were originally introduced in the 1970's, most scientists still rely on methods written during the early era of computing. These researchers, who analyze increasingly voluminous and multivariate data sets, need modern analysis methods to extract the best results from their studies. The first section of this work showcases applications of modern linear regression. Since the 1960's, many researchers in spectroscopy have used classical stepwise regression techniques to derive molecular constants. However, problems with thresholds of entry and exit for model variables plagues this analysis method. Other criticisms of this kind of stepwise procedure include its inefficient searching method, the order in which variables enter or leave the model and problems with overfitting data. We implement an information scoring technique that overcomes the assumptions inherent in the stepwise regression process to calculate molecular model parameters. We believe that this kind of information based model evaluation can be applied to more general analysis situations in physical science. The second section proposes new methods of multivariate cluster analysis. The K-means algorithm and the EM algorithm, introduced in the 1960's and 1970's respectively, formed the basis of multivariate cluster analysis methodology for many years. However, several shortcomings of these methods include strong dependence on initial seed values and inaccurate results when the data seriously depart from hypersphericity. We propose new cluster analysis methods based on genetic algorithms that overcomes the strong dependence on initial seed values. In addition, we propose a generalization of the Genetic K-means algorithm which can accurately identify clusters with complex hyperellipsoidal covariance
Pimenta, Rui; Nascimento, Ana; Vieira, Margarida; Costa, Elísio
In previous works, we evaluated the statistical reasoning ability acquired by health sciences’ students carrying out their final undergraduate project. We found that these students achieved a good level of statistical literacy and reasoning in descriptive statistics. However, concerning inferential statistics the students did not reach a similar level. Statistics educators therefore claim for more effective ways to learn statistics such as project based investigations. These can be simulat...
Chulaki, A.; Kuznetsova, M. M.; Rastaetter, L.; MacNeice, P. J.; Shim, J. S.; Pulkkinen, A. A.; Taktakishvili, A.; Mays, M. L.; Mendoza, A. M. M.; Zheng, Y.; Mullinix, R.; Collado-Vega, Y. M.; Maddox, M. M.; Pembroke, A. D.; Wiegand, C.
Community Coordinated Modeling Center (CCMC) is a NASA affiliated interagency partnership with the primary goal of aiding the transition of modern space science models into space weather forecasting while supporting space science research. Additionally, over the past ten years it has established itself as a global space science education resource supporting undergraduate and graduate education and research, and spreading space weather awareness worldwide. A unique combination of assets, capabilities and close ties to the scientific and educational communities enable this small group to serve as a hub for raising generations of young space scientists and engineers. CCMC resources are publicly available online, providing unprecedented global access to the largest collection of modern space science models (developed by the international research community). CCMC has revolutionized the way simulations are utilized in classrooms settings, student projects, and scientific labs and serves hundreds of educators, students and researchers every year. Another major CCMC asset is an expert space weather prototyping team primarily serving NASA's interplanetary space weather needs. Capitalizing on its unrivaled capabilities and experiences, the team provides in-depth space weather training to students and professionals worldwide, and offers an amazing opportunity for undergraduates to engage in real-time space weather monitoring, analysis, forecasting and research. In-house development of state-of-the-art space weather tools and applications provides exciting opportunities to students majoring in computer science and computer engineering fields to intern with the software engineers at the CCMC while also learning about the space weather from the NASA scientists.
Hill, Margaret; Benoit, Robert
Reviews the resources available for social studies teachers from the Schools of California Online Resources for Education (SCORE): History Social Science World Wide Web site. Includes curriculum-aligned resources and lessons; standards and assessment information; interactive projects and field trips; teacher chat area; professional development…
Glynn, P. D.; Voinov, A. A.; Shapiro, C. D.; Jenni, K. E.
Water issues impact the availability and use of other natural resources as well as environmental conditions. In an increasingly populated hyper-connected world, water issues are increasingly "wicked problems": complex problems with high uncertainties and no independent observers. Water is essential to life, and life affects water quality and availability. Scientists, managers, decision-makers, and the greater public all have a stake in improving the management of water resources. In turn, they are part of the systems that they are studying, deciding on, affecting, or trying to improve. Governance of water issues requires greater accessibility, traceability, and accountability (ATA) in science and policy. Water-related studies and decision-making need transdisciplinary science, inclusive participatory processes, and consideration and acceptance of multiple perspectives. Biases, Beliefs, Heuristics, and Values (BBHV) shape much of our perceptions and knowledge, and inevitably, affect both science and policy. Understanding the role of BBHV is critical to (1) understanding individual and group judgments and choices, (2) recognizing potential differences between societal "wants" and societal "needs", and (3) identifying "winners" and "losers" of policy decisions. Societal acceptance of proposed policies and actions can be fostered by enhancing participatory processes and by providing greater ATA in science, in policy, and in development of the laws, rules, and traditions that constrain decision-making. An adaptive science-infused governance framework is proposed that seeks greater cognizance of the role of BBHV in shaping science and policy choices and decisions, and that also seeks "Open Traceable Accountable Policy" to complement "Open Science". We discuss the limitations of the governance that we suggest, as well as tools and approaches to help implementation.
Full Text Available The present paper present a study done on the Human Resources in Science and Technology (HRST in Research Development and Innovation (RDI sector in Romania during 1993-2009 .This paper started from the elements defined in Canberra Manual based on the qualification and occupation. Labor force in this study refers to university level and technician level as skill from education. These definitions from Canberra Manual for HRST were used in the present paper in reference to all the researchers in Romania for different areas of research as engineering and technology sciences domains, natural and exact sciences, medical sciences, agricultural science, social sciences and humanities. After a short presentation of the US origin of the Human Resources in Science and Technology Management and the situation from Europe, the present paper are dealing with the area of the Human Resources in Science and Technology system from Romania, the sector of Research Development and Innovation. This study is focused on the employees by categories of the activities in research, development and innovation sector. We took into account the employees with different categories of graduation diploma which are working in the fields of research and development activities too. Samples data were took from Tempo online database from National Institute of Statistics from Romania, updated database in 21 of October in 2010.Data were took for simulations in December 2010. We try to do a simulation on the evolution of Human Resources in Science and Technology (HRST in Research Development and Innovation (RDI sector in Romania during this period (1993-2009 and we observed that real data fitting on a regression curve of sixth degree whose coefficients were defined during this study. This type of simulation can be good for future forecasting for Human Resources in Science and Technology in Research Development and Innovation (RDI sector in Romania. The present study is part of Doctoral
Sanders, G. B.; Larson, W. E.; Picard, M.; Hamilton, J. C.
In-Situ Resource Utilization (ISRU) and lunar science share similar objectives with respect to analyzing and characterizing the physical, mineral, and volatile materials and resources at sites of robotic and human exploration. To help mature and stress instruments, technologies, and hardware and to evaluate operations and procedures, space agencies have utilized demonstrations at analog sites on Earth before use in future missions. The US National Aeronautics and Space Administration (NASA), the Canadian Space Agency (CSA), and the German Space Agency (DLR) have utilized an analog site on the slope of Mauna Kea on the Big Island of Hawaii to test ISRU and lunar science hardware and operations in two previously held analog field tests. NASA and CSA are currently planning on a 3rd analog field test to be held in June, 2012 in Hawaii that will expand upon the successes from the previous two field tests.
Olga M. Naumenko
Full Text Available The problem of internet resources application for forming of pupils ecological knowledge at the study of natural sciences subjects is considered. It is noticed, that distribution of ecological knowledge and development of ecological education became the near-term tasks of school education, taking into account a global ecological crisis. It is therefore important to use in school preparation all possibilities that allow to promote the level of ecological knowledge of students and to influence the same on forming of modern views in relation to environmental preservation. Considerable attention is given to advices for the teachers of natural sciences subjects in relation to methodology of the internet resources use at preparation and realization of practical and laboratory works and other forms of educational-searching activity of students.
This workshop presentation focuses on potential uses of unmanned aircraft observations in support of water resource management and agriculture. The presentation will provide an overview of NASA Airborne Science capabilities with an emphasis on past UAV missions to provide context on accomplishments as well as technical challenges. I will also focus on recent NASA Ames efforts to assist in irrigation management and invasive species management using airborne and satellite datasets.
individual particles. They mix the powders with water and perform tests with heat, iodine, and vinegar in order to gain additional information about the...illusions ; light ; fermentation ; chromatography ; moon ; astronomy AN SCIENCE - A PROCESS APPROACH, PART G focuses on experimentation, incorporating all...skills ; flowers plants astronomy ; animals ; sensory perception ; vision ; optical illusions ; eyes ; density ; viscosity ; fermentation ; moon
McManamay, Ryan A [ORNL; Utz, Ryan [National Ecological Observatory Network
Open-access databases with utility in fisheries science have grown exponentially in quantity and scope over the past decade, with profound impacts to our discipline. The management, distillation, and sharing of an exponentially growing stream of open-access data represents several fundamental challenges in fisheries science. Many of the currently available open-access resources may not be universally known among fisheries scientists. We therefore introduce many national- and global-scale open-access databases with applications in fisheries science and provide an example of how they can be harnessed to perform valuable analyses without additional field efforts. We also discuss how the development, maintenance, and utilization of open-access data are likely to pose technical, financial, and educational challenges to fisheries scientists. Such cultural implications that will coincide with the rapidly increasing availability of free data should compel the American Fisheries Society to actively address these problems now to help ease the forthcoming cultural transition.
Cooper, Alan; Barker, Peter; Barrett, Peter; Behrendt, John; Brancolini, Giuliano; Childs, Jonathan R.; Escutia, Carlota; Jokat, Wilfried; Kristoffersen, Yngve; Leitchenkov, German; Stagg, Howard; Tanahashi, Manabu; Wardell, Nigel; Webb, Peter
The Antarctic Offshore Stratigraphy project (ANTOSTRAT; 1989–2002) was an extremely successful collaboration in international marine geological science that also lifted the perceived “veil of secrecy” from studies of potential exploitation of Antarctic marine mineral resources. The project laid the groundwork for circum-Antarctic seismic, drilling, and rock coring programs designed to decipher Antarctica’s tectonic, stratigraphic, and climate histories. In 2002, ANTOSTRAT evolved into the equally successful and currently active Antarctic Climate Evolution research program. The need for, and evolution of, ANTOSTRAT was based on two simple tenets within SCAR and the Antarctic Treaty: international science collaboration and open access to data. The ANTOSTRAT project may be a helpful analog for other regions of strong international science and geopolitical interests, such as the Arctic. This is the ANTOSTRAT story.
The BES user facilities provide open access to specialized instrumentation and expertise that enable scientific users from universities, national laboratories, and industry to carry out experiments and develop theories that could not be done at their home institutions. These forefront research facilities require resource commitments well beyond the scope of any non-government institution and open up otherwise inaccessible facets of Nature to scientific inquiry. For approved, peer-reviewed projects, instrument time is available without charge to researchers who intend to publish their results in the open literature. These large-scale user facilities have made significant contributions to various scientific fields, including chemistry, physics, geology, materials science, environmental science, biology, and biomedical science. Over 16,000 scientists and engineers.pdf file (27KB) conduct experiments at BES user facilities annually. Thousands of other researchers collaborate with these users and analyze the data measured at the facilities to publish new scientific findings in peer-reviewed journals.
Giesen, Julia A.; Givens, Carrie E.
Michigan faces many challenges related to water resources, including flooding, drought, water-quality degradation and impairment, varying water availability, watershed-management issues, stormwater management, aquatic-ecosystem impairment, and invasive species. Michigan’s water resources include approximately 36,000 miles of streams, over 11,000 inland lakes, 3,000 miles of shoreline along the Great Lakes (MDEQ, 2016), and groundwater aquifers throughout the State.The U.S. Geological Survey (USGS) works in cooperation with local, State, and other Federal agencies, as well as tribes and universities, to provide scientific information used to manage the water resources of Michigan. To effectively assess water resources, the USGS uses standardized methods to operate streamgages, water-quality stations, and groundwater stations. The USGS also monitors water quality in lakes and reservoirs, makes periodic measurements along rivers and streams, and maintains all monitoring data in a national, quality-assured, hydrologic database.The USGS in Michigan investigates the occurrence, distribution, quantity, movement, and chemical and biological quality of surface water and groundwater statewide. Water-resource monitoring and scientific investigations are conducted statewide by USGS hydrologists, hydrologic technicians, biologists, and microbiologists who have expertise in data collection as well as various scientific specialties. A support staff consisting of computer-operations and administrative personnel provides the USGS the functionality to move science forward. Funding for USGS activities in Michigan comes from local and State agencies, other Federal agencies, direct Federal appropriations, and through the USGS Cooperative Matching Funds, which allows the USGS to partially match funding provided by local and State partners.This fact sheet provides an overview of the USGS current (2016) capabilities to monitor and study Michigan’s vast water resources. More
Falkner, Katrina; Vivian, Rebecca
To support teachers to implement Computer Science curricula into classrooms from the very first year of school, teachers, schools and organisations seek quality curriculum resources to support implementation and teacher professional development. Until now, many Computer Science resources and outreach initiatives have targeted K-12 school-age children, with the intention to engage children and increase interest, rather than to formally teach concepts and skills. What is the educational quality of existing Computer Science resources and to what extent are they suitable for classroom learning and teaching? In this paper, an assessment framework is presented to evaluate the quality of online Computer Science resources. Further, a semi-systematic review of available online Computer Science resources was conducted to evaluate resources available for classroom learning and teaching and to identify gaps in resource availability, using the Australian curriculum as a case study analysis. The findings reveal a predominance of quality resources, however, a number of critical gaps were identified. This paper provides recommendations and guidance for the development of new and supplementary resources and future research.
From the first hand-held cameras on the Gemini space missions to present day satellite instruments, Earth observations have enhanced the management of natural resources including water, land, and air. Applications include the development of new methodology (for example, developing and testing algorithms or demonstrating how data can be used) and the direct use of data in decisionmaking and policy implementation. Using well-defined bibliographic search indices to systematically survey a broad social science literature, this project enables identification of a host of well-documented, practical and direct applications of Earth science data in resource management. This literature has not previously been well surveyed, aggregated, or analyzed for the heritage of lessons learned in practical application of Earth science data. In the absence of such a survey, the usefulness of Earth science data is underestimated and the factors that make people want to use -- and able to use -- the data are poorly understood. The project extends and updates previous analysis of social science applications of Landsat data to show their contemporary, direct use in new policy, business, and management activities and decisionmaking. The previous surveys (for example, Blumberg and Jacobson 1997; National Research Council 1998) find that the earliest attempts to use data are almost exclusively testing of methodology rather than direct use in resource management. Examples of methodology prototyping include Green et al. (1997) who demonstrate use of remote sensing to detect and monitor changes in land cover and use, Cowen et al. (1995) who demonstrate design and integration of GIS for environmental applications, Hutchinson (1991) who shows uses of data for famine early warning, and Brondizio et al. (1996) who show the link of thematic mapper data with botanical data. Blumberg and Jacobson (in Acevedo et al. 1996) show use of data in a study of urban development in the San Francisco Bay and the
Full Text Available List Contact us RGP gmap Statistics of DNA Markers Data detail Data name Statistics of DNA Markers DOI 10.18...908/lsdba.nbdc00318-01-001 Description of data contents Statistics of DNA markers that were used to create t...iption Download License Update History of This Database Site Policy | Contact Us Statistics of DNA Markers - RGP gmap | LSDB Archive ...
Arnold, J. R.; Clark, M. P.; Wood, A.; Gutmann, E. D.; Nijssen, B.; Brekke, L. D.
Since 2010, the US Army Corps of Engineers (USACE) Climate Preparedness and Resilience Program has supported development of a coordinated system of products and tools to improve use of climate information in water-resource planning and management. The key products include: 1) a new understanding of the limitations of methods used to quantify impacts of climate change on water resources; 2) development and evaluation of national-domain climate downscaling and hydrologic simulation capabilities to provide information from climate model output relevant to the multiple scales of water resources decision-making with a spatially consistent assessment of the impacts of climate change on hydrologic conditions; and 3) development and evaluation of advanced streamflow forecasting methods. This will support USACE Districts and their stakeholders and partners with new data, new and newly evaluated model output, and specific tools in a framework to help with routine applications for managing water resources throughout the U.S., and to enhance considerations of climate preparedness and resilience in that work. This presentation will summarize the collaborative development of some of those products; describe current and planned future USACE capabilities for incorporating advanced climate information at multiple scales of analysis and decision; discuss uses of climate information in water-resources planning and management; and outline key unanswered science questions being addressed to increase utility and use of information in short- and longer-term planning. Specifically, we will describe the current suite and planned trajectory of new products, moving from capability development through to testing in limited pilot domains, on to product applications throughout the U.S., and, ultimately, into actual implementation at the level of USACE Districts to address climate change issues. Two key foci of this talk will be: 1) where climatological and hydrologic science is currently
... Testing Treatment & Outcomes Health Professionals Statistics More Resources Candidiasis Candida infections of the mouth, throat, and esophagus Vaginal candidiasis Invasive candidiasis Definition Symptoms Risk & Prevention Sources Diagnosis ...
Race, M. S.; Lafayette Library; Learning Center Foundation (Lllcf)
In these times of budget cuts, tight school schedules, and limited opportunities for student field trips and teacher professional development, it is especially difficult to expose elementary and middle school students to the latest STEM information-particularly in the space sciences. Using our library as a facilitator and catalyst, we built a volunteer-based, multi-faceted, curriculum-linked program for students and teachers in local middle schools (Grade 8) and showcased new astronomical and planetary science information using mainly NASA resources and volunteer effort. The project began with the idea of bringing free NASA photo exhibits (FETTU) to the Lafayette and Antioch Libraries for public display. Subsequently, the effort expanded by adding layers of activities that brought space and science information to teachers, students and the pubic at 5 libraries and schools in the 2 cities, one of which serves a diverse, underserved community. Overall, the effort (supported by a pilot grant from the Bechtel Foundation) included school and library based teacher workshops with resource materials; travelling space museum visits with hands-on activities (Chabot-to-Go); separate powerpoint presentations for students and adults at the library; and concurrent ancillary space-related themes for young children's programs at the library. This pilot project, based largely on the use of free government resources and online materials, demonstrated that volunteer-based, standards-linked STEM efforts can enhance curriculum at the middle school, with libraries serving a special role. Using this model, we subsequently also obtained a small NASA-Space Grant award to bring star parties and hand-on science activities to three libraries this Fall, linking with numerous Grade 5 teachers and students in two additional underserved areas of our county. It's not necessary to reinvent the wheel, you just collect the pieces and build on what you already have.
Roberts, Patrice Helen
This research was designed to determine the relationships among students' achievement scores on grade-level science content, on science content that was three years above-grade level, on attitudes toward instructional approaches, and learning-styles perceptual preferences when instructional approaches were multisensory versus traditional. The dependent variables for this investigation were scores on achievement posttests and scores on the attitude survey. The independent variables were the instructional strategy and students' perceptual preferences. The sample consisted of 74 educationally oriented seventh-grade students. The Learning Styles Inventory (LSI) (Dunn, Dunn, & Price, 1990) was administered to determine perceptual preferences. The control group was taught seventh-grade and tenth-grade science units using a traditional approach and the experimental group was instructed on the same units using multisensory instructional resources. The Semantic Differential Scale (SDS) (Pizzo, 1981) was administered to reveal attitudinal differences. The traditional unit included oral reading from the textbook, completing outlines, labeling diagrams, and correcting the outlines and diagrams as a class. The multisensory unit included five instructional stations established in different sections of the classroom to allow students to learn by: (a) manipulating Flip Chutes, (b) using Electroboards, (c) assembling Task Cards, (d) playing a kinesthetic Floor Game, and (e) reading an individual Programmed Learning Sequence. Audio tapes and scripts were provided at each location. Students circulated in groups of four from station to station. The data subjected to statistical analyses supported the use of a multisensory, rather than a traditional approach, for teaching science content that is above-grade level. T-tests revealed a positive and significant impact on achievement scores (p < 0.0007). No significance was detected on grade-level achievement nor on the perceptual
National Science Resources Center Project for Improving Science Teaching in Elementary Schools. Appendix A. School Systems With Exemplary Elementary Science Programs. Appendix B. Elementary Science Network
Glass, Lawrence, Deer Park High School Glass, Millard, K-12 Science Supervisor Bloomfield Municipal School District Glassman, Neil, Gleason, Steve...Superientendent Vaughn Municipal Schools Knop, Ronald N., Teacher Grissom Junior High School Knox, Amie, Director of Master Teacher Program W. Wilson...Science Supervisor Pequannock Township Public Schools Mercado , Roberto, Science Coordinator Colegio Radians, Inc. Merchant, Edwin, K-12 Science
Letchford, Julie; Corradi, Hazel; Day, Trevor
An important aim of undergraduate science education is to develop student skills in reading and evaluating research papers. We have designed, developed, and implemented an on-line interactive resource entitled "Evaluating Scientific Research literature" (ESRL) aimed at students from the first 2 years of the undergraduate program. In this article, we describe the resource, then use student data collected from questionnaire surveys to evaluate the resource within 2 years of its launch. Our results add to those reported previously and indicate that ESRL can enable students to start evaluating research articles when used during their undergraduate program. We conclude maximal learning is likely to occur when the resource can be embedded in the curriculum such that students have a clearly articulated context for the resource's activities, can see their relevance in relation to assessed assignments and can be encouraged to think deeply about the activities in conversation with one another and/or with staff. © 2017 by The International Union of Biochemistry and Molecular Biology, 45(6):483-490, 2017. © 2017 The International Union of Biochemistry and Molecular Biology.
Clark, E.; Hooper, R. P.; Lilienfeld, L.
Connecting a diverse audience to science can be challenging. Scientists generally publish their findings in ways that are not easily accessible to audiences outside of the science community and translating findings for wider consumption requires a mindful balance of generalization and accuracy. In response to these communication challenges, the Consortium of Universities for the Advancement of Hydrologic Science, Inc. (CUAHSI) developed the Let's Talk About Water (LTAW) program as a formula for hosting successful events for Earth Science education. The program uses film as a bridge to open a discussion between scientists and the audience. In this setting, films are powerful educational tools because they use storytelling to engage audiences emotionally, which creates relatable, teachable moments. Originally designed to bring awareness to water issues, the formula can easily be applied to increase literacy on climate change and other critical Earth Science issues facing society. This presentation will discuss the LTAW event formula and the resources that CUAHSI has available to support event organizers in the development of their own LTAW events.
Neave, Henry R
For three decades, Henry Neave's Statistics Tables has been the gold standard for all students taking an introductory statistical methods course as part of their wider degree in a host of disciplines including mathematics, economics, business and management, geography and psychology. The period has seen a large increase in the level of mathematics and statistics required to achieve these qualifications and Statistics Tables has helped several generations of students meet their goals.All the features of the first edition are retained including the full range of best-known standard statistical t
Shaffer, Kimberly; Kula, Stephanie P.; Shaffer, Kimberly; Kula, Stephanie P.
Ohio’s water resources support a complex web of human activities and nature—clean and abundant water is needed for drinking, recreation, farming, and industry, as well as for fish and wildlife needs. Although rainfall in normal years can support these activities and needs, occasional floods and droughts can disrupt streamflow, groundwater, water availability, water quality, recreation, and aquatic habitats. Ohio is bordered by the Ohio River and Lake Erie; it has over 44,000 miles of streams and more than 60,000 lakes and ponds (State of Ohio, 1994). Nearly all of the rural population obtains drinking water from groundwater sources. The U.S. Geological Survey (USGS) works in cooperation with local, State, and other Federal agencies, as well as universities, to furnish decisionmakers, policy makers, USGS scientists, and the general public with reliable scientific information and tools to assist them in management, stewardship, and use of Ohio’s natural resources. The diversity of scientific expertise among USGS personnel enables them to carry out large- and small-scale multidisciplinary studies. The USGS is unique among government organizations because it has neither regulatory nor developmental authority—its sole product is impartial, credible, relevant, and timely scientific information, equally accessible and available to everyone. The USGS Ohio Water Science Center provides reliable hydrologic and water-related ecological information to aid in the understanding of the use and management of the Nation’s water resources, in general, and Ohio’s water resources, in particular. This fact sheet provides an overview of current (2016) or recently completed USGS studies and data activities pertaining to water resources in Ohio. More information regarding projects of the USGS Ohio Water Science Center is available at http://oh.water.usgs.gov/.
Klos, P. Z.; Holtsnider, L.
Climate Odyssey (climateodyssey.org) is a year-long sailing expedition and continuing collaboration aimed at using overlaps in science and visual art to communicate coastal climate change impacts and solutions. We, visual artist Lucy Holtsnider and climate scientist Zion Klos, are using our complimentary skills in art, science and communication to engage audiences both intuitively and cognitively regarding the urgency of climate change through story and visualization. Over the 2015 - 2016 academic year, we embarked on the sailing portion of Climate Odyssey, beginning in Lake Michigan, continuing along the Eastern Seaboard, and concluding in the tropics. Along the way we photographed climate change impacts and adaptation strategies, interviewed stakeholders, scientists, and artists. We are now sharing our photographs and documented encounters through a tangible artist's book, interactive digital map, blog, and series of K16 lesson plans. Each of our images added to the artist's book and digital map are linked to relevant blog entries and other external scientific resources, making the map both a piece of art and an engaging education tool for sharing the science of climate change impacts and solutions. After completing the sailing component of the project, we have now finalized our multi-media resources and are working to share these with the public via libraries, galleries, and K16 classrooms in coastal communities. At AGU, we will share with our peers the completed version of the series of K16 lesson plans that provide educators an easy-to-use way to introduce and utilize the material in the artist's book, digital map, and online blog. Through this, we hope to both discuss climate-focused education and engagement strategies, as well as showcase this example of art-science outreach with the broader science education and communication community that is focused on climate literacy in the U.S. and beyond.
Olds, S. E.; Weingroff, M.
The DLESE Teaching Box project is both a professional development opportunity and an educational resource development project providing a pedagogic context that support teachers' use of data in the classroom. As a professional development opportunity, it is designed to augment teachers' science content knowledge, enhance their use of inquiry teaching strategies, and increase their confidence and facility with using digital libraries and online learning resources. Teams of educators, scientists, and instructional designers work together during a three part Teaching Box Development Workshop series to create Teaching Boxes on Earth system science topics. The resulting Teaching Boxes use Earth system science conceptual frameworks as their core and contain inquiry-based lessons which model scientific inquiry and process by focusing on the gathering and analysis of evidence. These lines of evidence employ an Earth systems approach to show how processes across multiple spheres, for example, how the biosphere, atmosphere, and geosphere interact in a complex Earth process. Each Teaching Box has interconnected lessons that provide 3-6 weeks of instruction, incorporate National and California science standards, and offer guidance on teaching pathways through the materials. They contain up-to-date digital materials including archived and real-time data sets, simulations, images, lesson plans, and other resources available through DLESE, NSDL, and the participating scientific institutions. Background information provided within the Box supports teacher learning and guides them to facilitate student access to the tools and techniques of authentic, modern science. In developing Teaching Boxes, DLESE adds value to existing educational resources by helping teachers more effectively interpret their use in a variety of standards-based classroom settings. In the past twelve months we have had over 100 requests for Teaching Box products from teachers and curriculum developers from
Bouska, Kristin L.; Lindner, Garth; Paukert, Craig P.; Jacobson, Robert B.
Floodplains pose challenges to managers of conservation lands because of constantly changing interactions with their rivers. Although scientific knowledge and understanding of the dynamics and drivers of river-floodplain systems can provide guidance to floodplain managers, the scientific process often occurs in isolation from management. Further, communication barriers between scientists and managers can be obstacles to appropriate application of scientific knowledge. With the coproduction of science in mind, our objectives were the following: (1) to document management priorities of floodplain conservation lands, and (2) identify science needs required to better manage the identified management priorities under nonstationary conditions, i.e., climate change, through stakeholder queries and interactions. We conducted an online survey with 80 resource managers of floodplain conservation lands along the Upper and Middle Mississippi River and Lower Missouri River, USA, to evaluate management priority, management intensity, and available scientific information for management objectives and conservation targets. Management objectives with the least information available relative to priority included controlling invasive species, maintaining respectful relationships with neighbors, and managing native, nongame species. Conservation targets with the least information available to manage relative to management priority included pollinators, marsh birds, reptiles, and shore birds. A follow-up workshop and survey focused on clarifying science needs to achieve management objectives under nonstationary conditions. Managers agreed that metrics of inundation, including depth and extent of inundation, and frequency, duration, and timing of inundation would be the most useful metrics for management of floodplain conservation lands with multiple objectives. This assessment provides guidance for developing relevant and accessible science products to inform management of highly
Wade, P.; Courtney, A.
Students enrolled in an undergraduate non-science majors’ Energy Perspectives course created 10-15 minute video documentaries on topics related to Energy Resources and the Environment. Video project topics included wave, biodiesel, clean coal, hydro, solar and “off-the-grid” energy technologies. No student had any prior experience with creating video projects. Students had Liberal Arts academic backgrounds that included Anthropology, Theater Arts, International Studies, English and Early Childhood Education. Students were required to: 1) select a topic, 2) conduct research, 3) write a narrative, 4) construct a project storyboard, 5) shoot or acquire video and photos (from legal sources), 6) record the narrative, and 7) construct the video documentary. This study describes the instructional approach of using student created video documentaries as projects in an undergraduate non-science majors’ science course. Two knowledge survey instruments were used for assessment purposes. Each instrument was administered Pre-, Mid- and Post course. One survey focused on the skills necessary to research and produce video documentaries. Results showed students acquired enhanced technology skills especially with regard to research techniques, writing skills and video editing. The second survey assessed students’ content knowledge acquired from each documentary. Results indicated students’ increased their content knowledge of energy resource topics. Students reported very favorable evaluations concerning their experience with creating “Ken Burns” video project documentaries.
Simo, A.; Nyobe, J.B.
Full text: Cameroon as a Member of the International Atomic Energy Agency (IAEA) has made full use of the Agency's Technical Co-operation Programme in his effort to promote peaceful applications of nuclear science and technology at national level. This paper presents the progress made in the development of reliable human resources. Results obtained have been achieved through national and regional technical co-operation projects. Over the past twenty years, the development of human resources in nuclear science and technology has focused on the training of national scientists and engineers in various fields such as crop and animal production, human and animal nutrition, human health applications, medical physics, non-destructive testing in industry, groundwater management, maintenance of medical and scientific equipment, radiation protection and radioactive waste management. Efforts made also involve the development of graduate teaching in nuclear sciences at the national universities. However, the lack of adequate training facilities remains a major concern. The development of new training/learning methods is being considered at national level through network linking of national training centres with existing international training institutions, and the use of Information Communication Technologies (ICT) which offer great flexibility with regard to the number of trainees and the actual needs. (author)
Simo, A.; Nyobe, J.B.
Cameroon as a Member of the International Atomic Energy Agency (IAEA) has made full use of the Agency's Technical Co-operation Programme in his effort to promote peaceful applications of nuclear science and technology at national level. This paper presents the progress made in the development of reliable human resources. Results obtained have been achieved through national and regional technical co-operation projects. Over the past twenty years, the development of human resources in nuclear science and technology has focussed on the training of national scientists and engineers in various fields such as crop and animal production, human and animal nutrition, human health applications, medical physics, non destructive testing in industry, groundwater management, maintenance of medical and scientific equipment, radiation protection and radioactive waste management. Efforts made also involve the development of graduate teaching in nuclear sciences at the national universities. However, the lack of adequate training facilities remains a major concern. The development of new training/learning methods is being considered at national level through network linking of national training centres with existing international training institutions, and the use of Information Communication Technologies (ICT) which offer great flexibility with regard to the number of trainees and the actual needs. (author)
Sandurska, Elżbieta; Szulc, Aleksandra
Sandurska Elżbieta, Szulc Aleksandra. A method of statistical analysis in the field of sports science when assumptions of parametric tests are not violated. Journal of Education Health and Sport. 2016;6(13):275-287. eISSN 2391-8306. DOI http://dx.doi.org/10.5281/zenodo.293762 http://ojs.ukw.edu.pl/index.php/johs/article/view/4278 The journal has had 7 points in Ministry of Science and Higher Education parametric evaluation. Part B item 754 (09.12.2016). 754 Journal...
А. П. Гетьман
Full Text Available Problem setting. Social and environmental issues of waste management facing society relatively recently, but showed a tendency to expand and deepen, which in turn caused the necessity of formation of effective policy in this area. Recent research and publications analysis. Some aspects of the present stage of the formation of environmental law and its relationship to nature and resources law, structural and systemic connections was studied by various researchers in the context of environmental policy and legislation analysis, regulation of wildlife relationships, expanding the scope of regulation of resource. In particular, they can mark out V. Andreytsev, A. Getman, M. Krasnova, N. Malisheva and others. However, comprehensive studies of this policy is currently not available. Paper objective. The purpose of the article is a theoretical analysis of the current state of environmental law, the formation of the next stage of development of natural resource relationships, their expansion and transformation into a resource (ecologic and resource in order to adequately respond to the differentiation and complexity of structural and systemic linkages. Paper main body. The development and dynamics of the environmental, natural resources legislation is largely driven by global and European processes and requires constant updating in order to overcome gaps, timely and adequate response to contemporary challenges, changes in value paradigms and so forth. One of these problems is the development of traditional branches of law and directions research that, in turn, raises the question of substantive content, structural and systemic links of these areas of law. Any delay in the establishment of the theoretical and methodological and scientific and legal framework for a new legal phenomena in the framework of ecological and legal science creates the preconditions for the expansion of research not only to them but also in relation to the already well
The Department of Energy's Office of Science (Science) and its facility contractors are aggressive users of information technology (IT) to support fundamental research in areas such as energy, environmental remediation and computational sciences. Of its $4 billion Fiscal Year 2008 budget, Science spent about $287 million to manage its IT program. This included cyber security activities, acquisition of hardware and software, and support service costs used to maintain the operating environments necessary to support the missions of the program. Prior Office of Inspector General reports have identified various issues with Science's management of its IT programs and resources. For instance, our report on Facility Contractor Acquisition and Management of Information Technology Hardware (DOE/IG-0768, June 2007) noted that the Science sites reviewed spent more than necessary when acquiring IT hardware. In another example, our review of The Department's Efforts to Implement Common Information Technology Services at Headquarters (DOE/IG-0763, March 2007) disclosed that Science's reluctance to adopt the Department of Energy Common Operating Environment (DOE-COE) at Headquarters contributed to the Department's inability to fully realize potential cost savings through consolidation and economies of scale. In light of the magnitude of the Office of Science IT program and previously identified program weaknesses, we initiated this audit to determine whether Science adequately managed its IT resources. Science had taken a number of actions to improve its cyber security posture and align its program to Federal requirements. Yet, our review disclosed that it had not taken some basic steps to enhance security and reduce costs. In particular, we found that: (1) For their non-scientific computing environments, all seven of the field sites reviewed (two Federal, five contractor) had implemented security configurations that were less stringent than those included
Bourdarios, Claire; The ATLAS collaboration
The ATLAS collaboration has recently setup a number of citizen science projects which have a strong IT component and could not have been envisaged without the growth of general public computing resources and network connectivity: event simulation through volunteer computing, algorithms improvement via Machine Learning challenges, event display analysis on citizen science platforms, use of open data, etc. Most of the interactions with volunteers are handled through message boards, but specific outreach material was also developed, giving an enhanced visibility to the ATLAS software and computing techniques, challenges and community. In this talk the Atlas Computing Agora (ACA) web platform will be presented as well as some of the specific material developed for some of the projects.
Blados, W.R.; Cotter, G.A.; Hermann, T.
International alliances in space efforts have resulted in a more rapid diffusion of space technology. This, in turn, increases pressure on organizations to push forward with technological developments and to take steps to maximize their inclusion into the research and development (R&D) process and the overall advancement and enhancement of space technology. To cope with this vast and rapidly growing amount of data and information that is vital to the success of the innovation, the Information Management Committee (IMC) of the Research Technology Agency (RTA) developed the science, technology and research network (STARNET). The purpose of this network is to facilitate access to worldwide information elements in terms of science, technology and overall research. It provides a virtual library with special emphasis on international security; a "one stop" information resource for policy makers, program managers, scientists, engineers, researchers and others. ?? 2007 IEEE.
Full Text Available Reducing diffuse pollution is a perpetuating problem for environmental regulators. This paper will consider novel ways to regulate its impacts on the aquatic environment, with particular reference to rural landuse. It will look at the relationship between science, policy and law, and the contributions of integrated water resources management and governance at regional, national and river basin scales. Regulatory frameworks for water in the European Union will be explored, along with their implementation nationally in Scotland and at catchment scale in the Tweed river basin. It will conclude that regulation has a role to play, but that it is necessary to take a visionary holistic and integrated approach, nesting regulation within a governance framework that involves all stakeholders and takes full account of developing science and socio-economic drivers to meet environmental objectives.
Full Text Available Managing water resources, air quality, forests, rangelands and agricultural systems in the context of climate change requires a new level of integrated knowledge. In order to articulate a role for university-based research teams as providers of climate services, this paper analyzes environmental change concerns and expectations about climate models among natural resources decision-makers in the Northwest US. Data were collected during a series of workshops organized by researchers from BioEarth, a regional earth systems modeling initiative. Eighty-three stakeholders from industry, government agencies and non-governmental organizations engaged with a team of academic researchers developing integrated biophysical and economic climate modeling tools. Analysis of transcripts of workshop discussions, surveys, and questionnaires reveals diverse attitudes among stakeholders about: 1 preferred modes of engaging in climate science research, 2 specific concerns and questions about climate change impacts, and 3 the most relevant and usable scope and scale of climate change impacts projections. Diverse concerns and information needs among natural resource decision-makers highlight the need for research teams to define clear and precise goals for stakeholder engagement. Utilizing the skills of research team members who have communication and extension expertise is pivotally important. We suggest impactful opportunities for research teams and natural resource decision-makers to interface and learn from one another. Effective approaches include structuring group discussions to identify gaps in existing climate change impacts information, explicitly considering changing policies, technologies and management practices, and exploring possible unintended consequences of decisions.
Díaz Membrives, Montserrat; Icart Isern, M Teresa; López Matheu, M Carmen
Analyze some of the characteristics of the publications focused on commercial cinema as a learning tool for university students engaged in health sciences degrees. The review was based on the search of information in three electronic databases: MEDLINE, CINAHL and ERIC. 54 papers were selected and analyzed. Cinema is a commonly used resource; however there is still a lack of studies demonstrating its usefulness and validity. This review is limited on its analysis by the fact that a large number of experiences are described as having a loose design. Copyright © 2015 Elsevier Ltd. All rights reserved.
Rodgers, D. J.; Fox, N. J.; Kusterer, M. B.; Turner, F. S.; Woleslagle, A. B.
Scheduled to launch in July 2018, the Parker Solar Probe (PSP) will orbit the Sun for seven years, making a total of twenty-four extended encounters inside a solar radial distance of 0.25 AU. During most orbits, there are extended periods of time where PSP-Sun-Earth geometry dramatically reduces PSP-Earth communications via the Deep Space Network (DSN); there is the possibility that multiple orbits will have little to no high-rate downlink available. Science and housekeeping data taken during an encounter may reside on the spacecraft solid state recorder (SSR) for multiple orbits, potentially running the risk of overflowing the SSR in the absence of mitigation. The Science Planning Analysis and Data Estimation Resource (SPADER) has been developed to provide the science and operations teams the ability to plan operations accounting for multiple orbits in order to mitigate the effects caused by the lack of high-rate downlink. Capabilities and visualizations of SPADER are presented; further complications associated with file downlink priority and high-speed data transfers between instrument SSRs and the spacecraft SSR are discussed, as well as the long-term consequences of variations in DSN downlink parameters on the science data downlink.
Loya Villalpando, Alvaro; Daal, Miguel; Phipps, Arran; Speller, Danielle; Sadoulet, Bernard; Winheld, Rachel; Cryogenic Dark Matter Search Collaboration
Topics in Current Science Research (TCSR) is a five-week summer course offered at the University of California, Berkeley through a collaboration between the Level Playing Field Institute's Summer Math and Science Honors Academy (SMASH) Program and the Cryogenic Dark Matter Search (CDMS) group at UC Berkeley. SMASH is an academic enrichment program geared towards under-resourced, high school students of color. The goals of the course are to expand the students' conception of STEM, to teach the students that science is a method of inquiry and not just a collection of facts that are taught in school, and to expose the scholars to critical thinking within a scientific setting. The course's curriculum engages the scholars in hands-on scientific research, project proposal writing, and presentation of their scientific work to their peers as well as to a panel of UC Berkeley scientists. In this talk, we describe the course and the impact it has had on previous scholars, we discuss how the course's pedagogy has evolved over the past 10 years to enhance students' perception and understanding of science, and we present previous participants' reflections and feedback about the course and its success in providing high school students a genuine research experience at the university level.
Full Text Available The data sharing system for resource and environment science databases of the Chinese Academy of Science (CAS is of an open three-tiered architecture, which integrates the geographical databases of about 9 institutes of CAS by the mechanism of distributive unstructured data management, metadata integration, catalogue services, and security control. The data tiers consist of several distributive data servers that are located in each CAS institute and support such unstructured data formats as vector files, remote sensing images or other raster files, documents, multi-media files, tables, and other format files. For the spatial data files, format transformation service is provided. The middle tier involves a centralized metadata server, which stores metadata records of data on all data servers. The primary function of this tier is catalog service, supporting the creation, search, browsing, updating, and deletion of catalogs. The client tier involves an integrated client that provides the end-users interfaces to search, browse, and download data or create a catalog and upload data.
Flood, David; Douglas, Kate; Goldberg, Vera; Martinez, Boris; Garcia, Pablo; Arbour, MaryCatherine; Rohloff, Peter
Quality improvement (QI) is a key strategy for improving diabetes care in low- and middle-income countries (LMICs). This study reports on a diabetes QI project in rural Guatemala whose primary aim was to improve glycemic control of a panel of adult diabetes patients. Formative research suggested multiple areas for programmatic improvement in ambulatory diabetes care. This project utilized the Model for Improvement and Agile Global Health, our organization's complementary healthcare implementation framework. A bundle of improvement activities were implemented at the home, clinic and institutional level. Control charts of mean hemoglobin A1C (HbA1C) and proportion of patients meeting target HbA1C showed improvement as special cause variation was identified 3 months after the intervention began. Control charts for secondary process measures offered insights into the value of different components of the intervention. Intensity of home-based diabetes education emerged as an important driver of panel glycemic control. Diabetes QI work is feasible in resource-limited settings in LMICs and can improve glycemic control. Statistical process control charts are a promising methodology for use with panels or registries of diabetes patients. © The Author 2017. Published by Oxford University Press in association with the International Society for Quality in Health Care. All rights reserved. For permissions, please e-mail: firstname.lastname@example.org
Zeilik, M.; Mathieu, R. D.; National InstituteScience Education; College Level-One Team
Even the most dedicated college faculty often discover that their students fail to learn what was taught in their courses and that much of what students do learn is quickly forgotten after the final exam. To help college faculty improve student learning in college Science, Mathematics, Engineering and Technology (SMET), the College Level - One Team of the National Institute for Science Education has created the "FLAG" a Field-tested Learning Assessment Guide for SMET faculty. Developed with funding from the National Science Foundation, the FLAG presents in guidebook format a diverse and robust collection of field-tested classroom assessment techniques (CATs), with supporting information on how to apply them in the classroom. Faculty can download the tools and techniques from the website, which also provides a goals clarifier, an assessment primer, a searchable database, and links to additional resources. The CATs and tools have been reviewed by an expert editorial board and the NISE team. These assessment strategies can help faculty improve the learning environments in their SMET courses especially the crucial introductory courses that most strongly shape students' college learning experiences. In addition, the FLAG includes the web-based Student Assessment of Learning Gains. The SALG offers a convenient way to evaluate the impact of your courses on students. It is based on findings that students' estimates of what they gained are more reliable and informative than their observations of what they liked about the course or teacher. It offers accurate feedback on how well the different aspects of teaching helped the students to learn. Students complete the SALG online after a generic template has been modified to fit the learning objectives and activities of your course. The results are presented to the teacher as summary statistics automatically. The FLAG can be found at the NISE "Innovations in SMET Education" website at www.wcer.wisc.edu/nise/cl1
Lay, Yoon Fah; Chandrasegaran, A. L.
Studies have shown that resources are crucial for improving schooling, perhaps even more so in developing countries than in economically developed countries, where adequate school structures and material resources may be taken for granted. Recent research reviews suggest that computer use continues to grow in mathematics and science instruction,…
Owolabi, Sola; Idowu, Oluwafemi A.; Okocha, Foluke; Ogundare, Atinuke Omotayo
The study evaluated utilization of electronic information resources by undergraduates in the Faculties of Education and the Social Sciences in University of Ibadan. The study adopted a descriptive survey design with a study population of 1872 undergraduates in the Faculties of Education and the Social Sciences in University of Ibadan, from which a…
Wegner, Molly F.
As students begin middle school, they are expected to possess and apply a wide array of nonfiction reading strategies if they are to comprehend new concepts from nonfiction texts. Although strategies and resource guides for fiction reading are available, an effective nonfiction reading comprehension resource guide tailored to middle school science teachers is lacking. The conceptual framework guiding this study is based on schema theory that supports the use of prior knowledge as a foundation for learning. The purpose of this project study was to address this local problem by providing middle school science teachers with a user-friendly resource for nonfiction reading comprehension strategies in a science context. The research question examined nonfiction reading comprehension strategies that could supplement middle school science teachers' instructional practices to increase student comprehension in science, as reflected on the results of state standardized tests. This project study consulted science and language arts teachers using a Delphi questionnaire technique to achieve a consensus through multiple iterations of questionnaires. Science teachers identified 7 areas of concern as students read nonfiction texts, and language arts teachers suggested effective reading comprehension strategies to address these areas. Based on the consensus of reading comprehension strategies and review of literature, a resource guide for middle school science teachers was created. By improving reading comprehension in content areas, teachers may not only increase student learning, but also underscore the importance of literacy relating to life-long learning through future occupations, academic endeavors, and society as well.
Suitable for graduate students and researchers in applied probability and statistics, as well as for scientists in biology, computer science, pharmaceutical science and medicine, this title brings together a collection of chapters illustrating the depth and diversity of theory, methods and applications in the area of scan statistics.
McCray, Wilmon Wil L., Jr.
The research was prompted by a need to conduct a study that assesses process improvement, quality management and analytical techniques taught to students in U.S. colleges and universities undergraduate and graduate systems engineering and the computing science discipline (e.g., software engineering, computer science, and information technology) degree programs during their academic training that can be applied to quantitatively manage processes for performance. Everyone involved in executing repeatable processes in the software and systems development lifecycle processes needs to become familiar with the concepts of quantitative management, statistical thinking, process improvement methods and how they relate to process-performance. Organizations are starting to embrace the de facto Software Engineering Institute (SEI) Capability Maturity Model Integration (CMMI RTM) Models as process improvement frameworks to improve business processes performance. High maturity process areas in the CMMI model imply the use of analytical, statistical, quantitative management techniques, and process performance modeling to identify and eliminate sources of variation, continually improve process-performance; reduce cost and predict future outcomes. The research study identifies and provides a detail discussion of the gap analysis findings of process improvement and quantitative analysis techniques taught in U.S. universities systems engineering and computing science degree programs, gaps that exist in the literature, and a comparison analysis which identifies the gaps that exist between the SEI's "healthy ingredients " of a process performance model and courses taught in U.S. universities degree program. The research also heightens awareness that academicians have conducted little research on applicable statistics and quantitative techniques that can be used to demonstrate high maturity as implied in the CMMI models. The research also includes a Monte Carlo simulation optimization
Haber, J.; Luby, M.; Wittenberg, K.
For three years, Columbia Earthscape, www.earthscape.org, has served as a test bed for the development and evaluation of Web-based geoscience education. Last fall (EOS Trans. AGU, 82(47), Fall Meet. Suppl., Abstract ED11A-11, 2001), we described how librarian, scientist, instructor, and student feedback led to sweeping changes in interface and acquisitions. Further assessment has looked at the value of a central online resource for Earth-system science education in light of patterns of study. Columbia Earthscape aimed to create an authoritative resource that reflects the interconnectedness of the Internet, of the disciplines of Earth-systems science, and of research, education, and public policy. Evaluation thus has three parts. The editors and editorial advisory board have evaluated projects for the site for accuracy and relevance to the project?s original context of Earth issues and topical mini-courses. Second, our research sought patterns of student use and library acquisition of Internet sources. Last, we asked if and how students benefit from Columbia Earthscape. We found, first, that while libraries are understandably reluctant to add online resources to strained budgets, almost all students work online; they vary almost solely in personal Web use. Second, Web use does not discourage use of print. Third, researchers often search Columbia Earthscape, but students, especially in schools, prefer browsing by topic of interest. Fourth, if they did not have this resource, most would surf, but many feel lost on the Web, and few say they can judge the quality of materials they used. Fifth, students found Columbia Earthscape helpful, relevant, and current, but most often for its research and policy materials. Many commented on issue-related collections original to Columbia Earthscape. While indeed we intended our Classroom Models and Sample Syllabi primarily as aids to instructor course design, we conclude, first, that students stick anyway to assigned materials and
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Full Text Available Introduction: Application of statistical software typically does not require extensive statistical knowledge, allowing to easily perform even complex analyses. Consequently, test selection criteria and important assumptions may be easily overlooked or given insufficient consideration. In such cases, the results may likely lead to wrong conclusions. Aim: To discuss issues related to assumption violations in the case of Student's t-test and one-way ANOVA, two parametric tests frequently used in the field of sports science, and to recommend solutions. Description of the state of knowledge: Student's t-test and ANOVA are parametric tests, and therefore some of the assumptions that need to be satisfied include normal distribution of the data and homogeneity of variances in groups. If the assumptions are violated, the original design of the test is impaired, and the test may then be compromised giving spurious results. A simple method to normalize the data and to stabilize the variance is to use transformations. If such approach fails, a good alternative to consider is a nonparametric test, such as Mann-Whitney, the Kruskal-Wallis or Wilcoxon signed-rank tests. Summary: Thorough verification of the parametric tests assumptions allows for correct selection of statistical tools, which is the basis of well-grounded statistical analysis. With a few simple rules, testing patterns in the data characteristic for the study of sports science comes down to a straightforward procedure.
Beaver, Melanie S.
This study examined the resources and instructional strategies effective middle school science teachers use to improve content area reading skills. Reading instruction in the middle school years should follow the natural cognitive progression that occurs in the adolescent brain from learning to read to reading to learn. Scientific reading is a different type of reading than most middle school students are accustomed to. It is important to understand that students will continue to be expected to read non-fiction critically for success in the 21st century. Effective teachers know this, and they perceive themselves as teachers of reading regardless of the content area in which their expertise lies. This qualitative research study was conducted at a rural middle school with three science teachers who employ before, during, and after literacy strategies when reading the textbook content with their students. The methodologies used in this study were interviews, observations, and document collection. The results of this study revealed the students' reading difficulties perceived by the teacher participants, the literacy strategies used by the teacher participants, the instructional resources the teacher participants used to improve comprehension, and the need for professional development in content area literacy.
In recent decades there has been a notable expansion of statistical data produced by the public and private sectors for administrative, research, policy and evaluation programs. This is due to advances in relatively inexpensive and efficient data collection and management of computer-readable statistical data. Corresponding changes have not occurred in the management of data collection, preservation, description and dissemination. As a result, the process by which data become accessible to so...
Ramachandran, Rahul; Maskey, Manil; Bugbee, Kaylin
Dark information resources are digital resources that organizations collect, process, and store for regular business or operational activities but fail to realize their potential for other purposes. The challenge for any organization is to recognize, identify and effectively exploit these dark information stores. Metadata catalogs at different data centers store dark information resources consisting of structured information, free form descriptions of data and browse images. These information resources are never fully exploited beyond a few fields used for search and discovery. For example, the NASA Earth science catalog holds greater than 6000 data collections, 127 million records for individual files and 67 million browse images. We believe that the information contained in the metadata catalogs and the browse images can be utilized beyond their original design intent to provide new data discovery and exploration pathways to support science and education communities. In this paper we present two research applications using information stored in the metadata catalog in a completely novel way. The first application is designing a data curation service. The objective of the data curation service is to augment the existing data search capabilities. Given a specific atmospheric phenomenon, the data curation service returns the user a ranked list of relevant data sets. Different fields in the metadata records including textual descriptions are mined. A specialized relevancy ranking algorithm has been developed that uses a "bag of words" to define phenomena along with an ensemble of known approaches such as the Jaccard Coefficient, Cosine Similarity and Zone ranking to rank the data sets. This approach is also extended to map from the data set level to data file variable level. The second application is focused on providing a service where a user can search and discover browse images containing specific phenomena from the vast catalog. This service will aid researchers
Lee, Sang Eun
This dissertation examines gender differences in career advancement outcomes among academic science, technology, engineering and mathematics (STEM) scientists. In particular, this research examines effects of gender, PhD advisors and postdoctoral supervisors mentoring resources and gender homophily in the mentoring dyads on the career advancement outcomes at early career stages. Female academic scientists have disadvantages in the career progress in the academic STEM. They tend to fall behind throughout their career paths and to leave the field compared to their male colleagues. Researchers have found that gender differences in the career advancement are shaped by gender-biased evaluations derived from gender stereotypes. Other studies demonstrate the positive impacts of mentoring and gender homophily in the mentoring dyads. To add greater insights to the current findings of female academic scientists' career disadvantages, this dissertation investigates comprehensive effects of gender, mentoring, and gender homophily in the mentoring dyads on female scientists' career advancement outcomes in academic science. Based on the Status Characteristics Theory, the concept of mentoring, Social Capital Theory, and Ingroup Bias Theory, causal path models are developed to test direct and indirect effects of gender, mentoring resources, and gender homophily on STEM faculty's career advancement. The research models were tested using structural equation modeling (SEM) with data collected from a national survey, funded by the National Science Foundation, completed in 2011 by tenured and tenure-track academic STEM faculty from higher education institutions in the United States. Findings suggest that there is no gender difference in career advancement controlling for mentoring resources and gender homophily in the mentoring dyads and other factors including research productivity and domestic caregiving responsibilities. Findings also show that the positive relationship between
Gillette, Shana Cecile
In communications, a new approach to the study of online interaction has been suggested by social network analysts. Garton, Haythornthwaite, and Wellman (1997) have outlined the importance of using network analysis to study how media are interconnected with other social aspects of a media user's world. As applied here, this approach to communication when combined with recent network studies from the fields of education and rural development, provides a method for looking at the role of Internet-facilitated ties in the development of resource networks in the learning communities of young women from seven rural schools across the state of Washington. Twenty-six young women (ages 14-16) from diverse cultural and ethnic backgrounds (approximately half of the participants are Hispanic or Native American, the other half are White) participated in the research. Participants were selected because they shared a common educational orientation through Rural Girls in Science, a NSF-funded program at the Northwest Center for Research on Women at the University of Washington. As part of the school-based component of the Rural Girls in Science program, all 26 participants designed and conducted year-long, community-based research projects in science. Each school in the program was provided an Internet workstation for communication and research. Through the Internet, students could conceivably maintain distant ties with mentors and research scientists whom they met at summer camp as well as seek additional information resources. Toward the conclusion of the long-term research projects, each student participant was interviewed using a participatory form of network analysis that included a combined qualitative and quantitative approach. Given the small number of participants and schools in the sample, the results from the analysis can not be generalized to a larger population. However the study of the structure and composition of networks among individuals and school groups provided
Mario Marcos Lopes
Full Text Available The teaching of Science and Biology at school is recent, and has been practiced according to the different educational proposals, that have been developed along the last decades. The LDB (Lei nº 9.394, December, 20, 1996 proposes a pedagogical project that goes beyond the blackboard, chalk and teacher's talk in order to better prepare the students for the challenges of the labor market. Thus, this paper aims at contributing to the discussion on the teaching practice and teaching resources that can help the teaching and learning process, especially in the disciplines of Science and Biology. Based on a qualitative approach, this research aims at contributing to the construction of new knowledge that can be generated from a careful and critical look at the documentary sources. Finally, the great challenge of the educator is to make the teaching of Science and Biology pleasurable and exciting, being able to develop in students the scientific knowledge and the taste for these school subjects.
Buchanan, Taylor L.; Lohse, Keith R.
We surveyed researchers in the health and exercise sciences to explore different areas and magnitudes of bias in researchers' decision making. Participants were presented with scenarios (testing a central hypothesis with p = 0.06 or p = 0.04) in a random order and surveyed about what they would do in each scenario. Participants showed significant…
Geary, E. E.; Barstow, D.
Enhancing access to high quality science education resources for teachers, students, and the general public is a high priority for the earth and space science education communities. However, to significantly increase access to these resources and promote their effective use will require a coordinated effort between content developers, publishers, professional developers, policy makers, and users in both formal and informal education settings. Federal agencies, academic institutions, professional societies, informal science centers, the Digital Library for Earth System Education, and other National SMETE Digital Library Projects are anticipated to play key roles in this effort. As a first step to developing a coordinated, national strategy for developing and delivering high quality earth and space science education resources to students, teachers, and the general public, 65 science educators, scientists, teachers, administrators, policy makers, and business leaders met this June in Snowmass, Colorado to create "Earth and Space Science Education 2010: A Blueprint for Change". The Blueprint is a strategy document that will be used to guide Earth and space science education reform efforts in grades K-12 during the next decade. The Blueprint contains specific goals, recommendations, and strategies for coordinating action in the areas of: Teacher Preparation and Professional Development, Curriculum and Materials, Equity and Diversity, Assessment and Evaluation, Public Policy and Systemic Reform, Public and Informal Education, Partnerships and Collaborations, and Technology. If you develop, disseminate, or use exemplary earth and space science education resources, we invite you to review the Blueprint for Change, share it with your colleagues and local science educators, and join as we work to revolutionize earth and space science education in grades K-12.
Full Text Available Resource management decisions often are based on a combination of scientific and political factors. The interaction of science and politics is not always apparent, which makes the decision-making process appear arbitrary at times. In this paper, we present a case study involving Lake Okeechobee, a key environmental resource in South Florida, USA, to illustrate the role that science played in a high-profile, highly contentious natural resource management decision. At issue was whether or not to lower the water level of Lake Okeechobee. Although scientists believed that a managed recession (drawdown of water level would benefit the lake ecosystem, risks were present because of possible future water shortages and potential environmental impacts to downstream ecosystems receiving large volumes of nutrient-rich fresh water. Stakeholders were polarized: the agriculture and utility industries favored higher water levels in the lake; recreation users and businesses in the estuaries wanted no or minimal discharge from the lake, regardless of water level; and recreation users and businesses around the lake wanted lower water levels to improve the fishery. Jurisdictional authority in the region allowed the Governing Board of the South Florida Water Management District to take emergency action, if so warranted. Based on information presented by staff scientists, an aggressive plan to release water was approved in April 2000 and releases began immediately. From a hydrological perspective, the managed recession was a success. Lake levels were lowered within the targeted time frame. In addition, water quality conditions improved throughout the lake following the releases, and submerged plants displayed a dramatic recovery. The short-term nature of the releases had no lasting negative impacts on downstream ecosystems. Severe drought conditions developed in the region during and following the recession, however. Severe water use restrictions were implemented for
Robinson, Patrick; Genskow, Ken; Shaw, Bret; Shepard, Robin
The need for cross-disciplinary scientific inquiries that facilitate improved natural resource management outcomes through increased understanding of both the biophysical and human dimensions of management issues has been widely recognized. Despite this broad recognition, a number of obstacles and barriers still sometimes challenge the successful implementation of cross-disciplinary approaches. Improving understanding of these challenges and barriers will help address them and thereby foster appropriate and effective utilization of cross-disciplinary approaches to solve natural resource management challenges. This research uses a case study analysis of the United States National Estuarine Research Reserve System to improve understanding of the critical factors that influence practitioners' decisions related to incorporating social science into their natural resource management work. The case study research is analyzed and evaluated within a Theory of Planned Behavior framework to (1) determine and describe the factors that predict practitioners' intent to incorporate social science into their natural resource related activities and (2) recommend potential strategies for encouraging and enabling cross-disciplinary approaches to natural resource management. The results indicate that National Estuarine Research Reserve practitioners' decisions related to incorporating social science are primarily influenced by (1) confidence in their own capability to incorporate social science into their work and (2) beliefs about whether the outcomes of incorporating social science into their work would be valuable or beneficial.
This dissertation presents a series of case studies in linguistics, psychology, and statistics. These case studies take up a variety of theories, concepts, and debates, and in each case attempt to shed new light on these topics by consistently focusing on foundational issues.
In many fields of inquiry, especially those concerned with living beings, "exact" observations are not possible and it is necessary to investigate the effect of several factors at the same time. This has led to the design of experiments on a statistical basis, in which several factors may be varied
Parker, Loran Carleton; Gleichsner, Alyssa M.; Adedokun, Omolola A.; Forney, James
Transformation of research in all biological fields necessitates the design, analysis and, interpretation of large data sets. Preparing students with the requisite skills in experimental design, statistical analysis, and interpretation, and mathematical reasoning will require both curricular reform and faculty who are willing and able to integrate…
Data are abundant, quantitative information about the state of society and the wider world is around us more than ever. Paradoxically, recent trends in the public discourse point towards a post-factual world that seems content to ignore or misrepresent empirical evidence. As statistics educators we are challenged to promote understanding of…
Sep 10, 2016 ... neutron star astrophysics: Through the case studies presented here, we hope to convey the challenges involved in devising or adopting statistical methods in the light of the .... The specific tests we applied to a recent version of a glitch dataset ... model the pulse energy data, a robust multivariate method to ...
Kirkby, K. C.; Phipps, M.; Hamilton, P.
Remarkably few undergraduate programs take full advantage of the rich resources provided by science museums, aquariums and other informal science education institutions. This is not surprising considering the logistical hurdles of class trips, but an even more fundamental barrier is that these institutions’ exhibit text seldom explicitly convey their information at a level suitable for undergraduate curriculum. Traditionally, this left the burden of interpretation on individual instructors, who rarely have the time to undertake it. To overcome these hurdles, the University of Minnesota has partnered with the Science Museum of Minnesota and Underwater Adventures Aquarium to test the efficacy of self-guided student explorations in revealing the rich data encoded in museum and aquarium exhibits. An initial module at the Science Museum of Minnesota focused on interpreting animal designs, specifically exploring how differences in dinosaur skeletal features reflected variations in the animals’ lifestyles. Students learn to interpret diet and lifestyle not only from characteristics of the skull and teeth, but also from variations in vertebrae and rib design or the relative proportion of limb elements. A follow-up module, based on exhibits at Underwater Adventures Aquarium focuses on interpreting energy flow through ecosystems from the behavior of living organisms. Students explore the information on lifestyle and diet that is encoded in a sturgeon’s ceaseless glide or a muskellunge’s poised stillness. These modules proved to be immensely popular with students. In classes with up to 500 students, half to two-thirds of the students volunteered to complete the modules, despite the additional expense and distances of up to 13 miles between the University and partner institutions. More importantly, quantitative assessment with pre-instruction and post-instruction surveys demonstrate that these ungraded, self-guided explorations match or exceed the efficacy of
Wang, Tusheng; Yang, Yuanyuan; Zhang, Kai; Wang, Mingqing; Zhao, Jun; Xu, Lisa; Zhang, Jianguo
In order to enable multiple disciplines of medical researchers, clinical physicians and biomedical engineers working together in a secured, efficient, and transparent cooperative environment, we had designed an e-Science platform for biomedical imaging research and application cross multiple academic institutions and hospitals in Shanghai and presented this work in SPIE Medical Imaging conference held in San Diego in 2012. In past the two-years, we implemented a biomedical image chain including communication, storage, cooperation and computing based on this e-Science platform. In this presentation, we presented the operating status of this system in supporting biomedical imaging research, analyzed and discussed results of this system in supporting multi-disciplines collaboration cross-multiple institutions.
Champely, Stéphane; Fargier, Patrick; Camy, Jean
Abstracts of European College of Sports Science conferences (1995-2014) are studied. The number of abstracts has been increasing regularly (+90 per year). This rise is in recent years largely due to extra-European countries. The magnitude and accumulation of the different topics of discussion are examined. An operational criterion determines four stages of evolution of a topic: social network, cluster, specialty, and discipline. The scientific production can, therefore, be classified as disciplinary or non-disciplinary. The disciplinary part is more important but has been less dynamic recently. The cognitive content of sport science is then explored through a multidimensional scaling of the topics based on the keywords used in the abstracts. Three areas are visible: social sciences and humanities, sports medicine and physiology, and biomechanics and neurophysiology. According to the field theory of Bourdieu ( 1975 ), three scientific habitus are distinguished. The logic of academic disciplinary excellence is the consequence of the autonomy of this scientific field, its closure, peer-review process, and barriers to entry. The distribution of scientific capital and professional capital is unequal across the three areas. Basically, conservation strategies of academic disciplinary excellence are predicted in biomechanics and neurophysiology, subversion strategies of interdisciplinarity based on professional concerns can appear in the sports medicine and physiology area, and critical strategies of interdisciplinarity based on social utility in social sciences and humanities. Moreover, additional tensions within these areas are depicted. Lastly methods based on co-citations of disciplines and boundary objects are proposed to find tangible patterns of multidisciplinarity confirming these strategies.
Pesant, Stéphane; Not, Fabrice; Picheral, Marc; Kandels-Lewis, Stefanie; Le Bescot, Noan; Gorsky, Gabriel; Iudicone, Daniele; Karsenti, Eric; Speich, Sabrina; Troublé, Romain; Dimier, Céline; Searson, Sarah
The Tara Oceans expedition (2009-2013) sampled contrasting ecosystems of the world oceans, collecting environmental data and plankton, from viruses to metazoans, for later analysis using modern sequencing and state-of-the-art imaging technologies. It surveyed 210 ecosystems in 20 biogeographic provinces, collecting over 35,000 samples of seawater and plankton. The interpretation of such an extensive collection of samples in their ecological context requires means to explore, assess and access raw and validated data sets. To address this challenge, the Tara Oceans Consortium offers open science resources, including the use of open access archives for nucleotides (ENA) and for environmental, biogeochemical, taxonomic and morphological data (PANGAEA), and the development of on line discovery tools and collaborative annotation tools for sequences and images. Here, we present an overview of Tara Oceans Data, and we provide detailed registries (data sets) of all campaigns (from port-to-port), stations and sampling events.
Stevenson, Alma R.
This qualitative, sociolinguistic research study examines how bilingual Latino/a students use their linguistic resources in the classroom and laboratory during science instruction. This study was conducted in a school in the southwestern United States serving an economically depressed, predominantly Latino population. The object of study was a fifth grade science class entirely comprised of language minority students transitioning out of bilingual education. Therefore, English was the means of instruction in science, supported by informal peer-to-peer Spanish-language communication. This study is grounded in a social constructivist paradigm. From this standpoint, learning science is a social process where social, cultural, and linguistic factors are all considered crucial to the process of acquiring scientific knowledge. The study was descriptive in nature, examining specific linguistic behaviors with the purpose of identifying and analyzing the linguistic functions of students' utterances while participating in science learning. The results suggest that students purposefully adapt their use of linguistic resources in order to facilitate their participation in science leaning. What is underscored in this study is the importance of explicitly acknowledging, supporting, and incorporating bilingual students' linguistic resources both in Spanish and English into the science classroom in order to optimize students' participation and facilitate their understanding.
The deep-sea is a large source of marine genetic resources (MGR), which have many potential uses and are a growing area of research. Much of the deep-sea lies in areas beyond national jurisdiction (ABNJ), including 65% of the global ocean. MGR in ABNJ occupy a significant gap in the international legal framework. Access and benefit sharing of MGR is a key issue in the development of a new international legally-binding instrument under the United Nations Convention on the Law of the Sea (UNCLOS) for the conservation and sustainable use of marine biological diversity in ABNJ. This paper examines how this is relevant to deep-sea scientific research and identifies emerging challenges and opportunities. There is no internationally agreed definition of MGR, however, deep-sea genetic resources could incorporate any biological material including genes, proteins and natural products. Deep-sea scientific research is the key actor accessing MGR in ABNJ and sharing benefits such as data, samples and knowledge. UNCLOS provides the international legal framework for marine scientific research, international science cooperation, capacity building and marine technology transfer. Enhanced implementation could support access and benefit sharing of MGR in ABNJ. Deep-sea scientific researchers could play an important role in informing practical new governance solutions for access and benefit sharing of MGR that promote scientific research in ABNJ and support deep-sea stewardship. Advancing knowledge of deep-sea biodiversity in ABNJ, enhancing open-access to data and samples, standardisation and international marine science cooperation are significant potential opportunity areas.
Patil, Prasad; Peng, Roger D; Leek, Jeffrey T
A recent study of the replicability of key psychological findings is a major contribution toward understanding the human side of the scientific process. Despite the careful and nuanced analysis reported, the simple narrative disseminated by the mass, social, and scientific media was that in only 36% of the studies were the original results replicated. In the current study, however, we showed that 77% of the replication effect sizes reported were within a 95% prediction interval calculated using the original effect size. Our analysis suggests two critical issues in understanding replication of psychological studies. First, researchers' intuitive expectations for what a replication should show do not always match with statistical estimates of replication. Second, when the results of original studies are very imprecise, they create wide prediction intervals-and a broad range of replication effects that are consistent with the original estimates. This may lead to effects that replicate successfully, in that replication results are consistent with statistical expectations, but do not provide much information about the size (or existence) of the true effect. In this light, the results of the Reproducibility Project: Psychology can be viewed as statistically consistent with what one might expect when performing a large-scale replication experiment. © The Author(s) 2016.
Huang Jing; Meng Xu
Nuclear science and technology information has played a very important role in the development of Chinese nuclear industry. In information explosion and information technology swift development's today, how to use information technology method to management and shared the nuclear information of nuclear research institutes, nuclear power plants and other nuclear-related units, become an important subject of nuclear information work. TRS information resource management platform provide a doable solution to manage and share the nuclear science and technology information. Nuclear Power Institute of China has built a nuclear science and technology information resources management system based on the TRS platform, through some steps just like system design, re-development and resource building. This management system has served for the research, testing, production and operation. (authors)
Full Text Available Measuring science has become an ‘industry’. When, how and why did science come to be measured in the first place? How did a “cultural” activity – science – long reputed to be not amenable to statistics, come to be measured? The statistics owes its existence to the context of the time: 1 measuring the contribution of great men, among them scientists, to civilization, and improving the social conditions of scientists; then 2 science policy and the efficiency of investments in research. Before the 1920s, it was scientists themselves who conducted measurements on science. The statistics collected concerned men of science, or scientists, their demography and geography, their productivity and performance, and were used to promote what was called the advancement of science. In the 1940s and after, the kind of statistics collected changed completely. It was no longer scientists who collected them, but governments and their statistical bureaus. The most cherished statistics was thereafter money devoted to research and development (R&D.
Ugbor, U.; Cilliers, A.; Kurwitz, R. C.
Full text: In order to address the effectiveness of national networks in Member States, and to implement regional and national strategies, it is important to understand the necessary conditions that ensure successful creation and sharing of knowledge, including, effective policy and programme incentives, promoting collaboration, innovation and networking. Furthermore, Member States with aspirations to develop their nuclear programmes (power and non-power applications in agriculture, industry and health sector), need to develop their own capabilities if they are to fully benefit from the social and economic opportunities from nuclear science and technology. Ultimately nuclear innovation programmes that take into account the role of universities, education and industry would lead to a robust nuclear programme that maximizes social and economic benefit. This paper a presents an initiative for capturing best practices in the areas of university collaboration and innovation, which are driven by learning, research and entrepreneurship. The initiative covers Knowledge (creation), Innovation and Collaboration for Science and Technology Adoption, Resourcing and Transfer (KIC-START). (author
Frändberg, Birgitta; Lincoln, Per; Wallin, Anita
Explanations involving submicro levels of representation are central to science education, but known to be difficult for students in secondary school. This study examines students' written explanations of physical and chemical phenomena regarding matter and changes in matter, in a large-scale test. This is done in order to understand linguistic challenges in constructing submicro level explanations involving the particle model of matter. Drawing from systemic functional linguistics, the lexicogrammatics used in explanations for realising experiential meaning in student explanations were analysed. We used answers to two partly constructed response items from the Swedish part of Trends in International Mathematics and Science Studies 2007, grade 8, to sort out explanations referring to the particle model of matter. These answers (86 from 954) were analysed regarding choices of vocabulary and grammar to distinguish between macro and submicro level of representation. The results show that students use a wide variety of lexicogrammatical resources to realise what happens on both macro and submicro level of representation, with greater diversity of verbs on the submicro level of explanation. The results suggest an uncertainty about the distinction between macro and submicro level of explanation.
Fassouliotis, Dimitris; Kourkoumelis, Christine; Vourakis, Stylianos
The Inspiring Science Education outreach project has been running for more than two years, creating a large number of inquiry based educational resources for high-school teachers and students. Its goal is the promotion of science education in schools though new methods built on the inquiry based education techniques, involving large consortia of European partners and implementation of large-scale pilots in schools. Recent hands-on activities, developing and testing the above mentioned innovative applications are reviewed. In general, there is a lack for educational scenaria and laboratory courses earmarked for more advanced, namely university, students. At the University of Athens for the last four years, the HYPATIA on-line event analysis tool has been used as a lab course for fourth year undergraduate physics students, majoring in HEP. Up to now, the course was limited to visual inspection of a few tens of ATLAS events. Recently the course was enriched with additional analysis exercises, which involve large samples of events. The students through a user friendly interface can analyse the samples and optimize the cut selection in order to search for new physics. The implementation of this analysis is described
Grey literature Web resources in the field of accelerator science and its allied subjects are collected for the scientists and engineers of RRCAT (Raja Ramanna Centre for Advanced Technology). For definition purposes the different types of grey literature are described. The Web resources collected and compiled in this article (with an overview and link for each) specifically focus on technical reports, preprints or e-prints, which meet the main information needs of RRCAT users.
Carter, Jackie; Noble, Susan; Russell, Andrew; Swanson, Eric
Increasing volumes of statistical data are being made available on the open web, including from the World Bank. This "data deluge" provides both opportunities and challenges. Good use of these data requires statistical literacy. This paper presents results from a project that set out to better understand how socioeconomic secondary data…
Full Text Available With the increasing of labor salaries, the RMB exchange rate, resource product prices and requirements of environmental protection, inexpensive labor and land are no longer the decisive factor of regional competitiveness. From this perspective, China needs to shift from the extensive development mode to the sustainable development mode. Science and technology resources rational allocation is one of the key issues in sustainable development. Based on the counties (districts data of Zhejiang Province in China, this paper portrays the spatial variation of regional sustainable development level of this area. This paper finds that counties tend to cluster in groups with the same sustainable development level, and this agglomeration trend has been enforced during the past several years. It then testifies to the relationship between the allocation of science and technology resources and local sustainable development, identifies science and technology human resources, financial resources and environmental resource are positively related to local sustainable development, except government financial support. The economic level has a negative relationship with regional sustainable development. This is because the development of the Zhejiang economy grown at the expense of the environment and ecosystem. Some advice is given according to the empirical analysis result.
This publication provides recent basic statistics on the resources devoted to R&D in OECD countries. The statistical series are presented for the last seven years for which data are available and cover expenditure by source of funds and type of costs; personnel by occupation and/or level of qualification; both at the national level by performance sector, for enterprises by industry, and for higher education by field of science. The publication also provides information on the output of science and technology (S&T) activities relating to the technology balance of payments.
Schademan, Alfred R.
The study examines the resources related to science that African American young men learn and develop by playing a card game called Spades, a common cultural practice in African American communities that dates back to the Civil War Era. The qualitative study examines what the Spades players at a local high school consider when making decisions…
Stevenson, Alma R.
This qualitative, sociolinguistic research study examines how bilingual Latino/a students use their linguistic resources in the classroom and laboratory during science instruction. This study was conducted in a school in the southwestern United States serving an economically depressed, predominantly Latino population. The object of study was a…
Shibayama, Sotaro; Walsh, John P.; Baba, Yasunori
This study uses a sample of Japanese university scientists in life and materials sciences to examine how academic entrepreneurship has affected the norms and behaviors of academic scientists regarding sharing scientific resources. Results indicate that high levels of academic entrepreneurship in a scientific field are associated with less reliance…
Kaya, Deniz; Bozdag, Hüseyin Cihan
The main objective of this study is to determine the predictive power of mathematics self-efficacy resources and perception of science self-efficacy on academic achievement. The study, adopting a relational screening model, was conducted with a total of 698 students in sixth, seventh and eighth grade level of a state secondary school. Mathematics…
Bock, Y.; Webb, F. H.; Kedar, S.; Pierce, M.; Scharber, M.; Argus, D. F.; Aydin, G.; Chang, R.; Dong, D.; Fang, P.; Granat, R. A.; Jamason, P.; Newport, B. J.; Owen, S. E.; Parker, J. W.; Prawirodirdjo, L.; Vernon, F.; Wadsworth, G.
We are in the process of merging the capabilities of three NASA-funded projects under the umbrella of the NASA Access Project, "Modeling and On-the-fly Solutions for Solid Earth Sciences (MOSES)" to facilitate data mining and modeling of rapidly expanding multi-disciplinary geoscience data sets. (1) The SCIGN- REASoN project is focused on the combination, validation, archive, and delivery of high-level data products and data mining capabilities from space geodetic measurements, in particular from over 600 CGPS stations in Western North America; (2) The QuakeSim project is developing linked Web service environments for supporting high performance models of crustal deformation from a variety of geophysical sensors, including GPS and seismic instruments; (3) The SENH-Applications GPS/Seismic integration project has developed a prototype real-time GPS/seismic displacement meter for seismic hazard mitigation and monitoring of critical infrastructure. The focus of the MOSES project is to enable direct interaction between modelers and data/data-product providers using Web services, within a unified portal architecture. Modeling applications include, for example, time series analysis of continuous and real-time data (e.g., RDAHMM and st_filter programs) and fault dislocation modeling (e.g., Simplex program). Community resources include access to extensive infrastructure and distributed data archive holdings, an on-line map server/client linked to a GIS database, a "GPS Explorer" data portal that is extensible to heterogeneous data sets, and "Geophysical Resource Web Services." We present the current capabilities of the unified data and analysis portal, and provide a few examples of combinations of independent geophysical measurements.
Drumond Vieira, Rodrigo; da Rocha Bernardo, José Roberto; Evagorou, Maria; Florentino de Melo, Viviane
In this article, we focus on the contributions that a simulated jury-based activity might have for pre-service teachers, especially for their active participation and learning in teacher education. We observed a teacher educator using a series of simulated juries as teaching resources to help pre-service teachers develop their pedagogical knowledge and their argumentation abilities in a physics teacher methods course. For the purposes of this article, we have selected one simulated jury-based activity, comprising two opposed groups of pre-service teachers that presented aspects that hinder the teachers' development of professional knowledge (against group) and aspects that allow this development (favor group). After the groups' presentations, a group of judges was formed to evaluate the discussion. We applied a multi-level method for discourse analysis and the results showed that (1) the simulated jury afforded the pre-service teachers to position themselves as active knowledge producers; (2) the teacher acted as 'animator' of the pre-service teachers' actions, showing responsiveness to the emergence of circumstantial teaching and learning opportunities and (3) the simulated jury culminated in the judges' identification of the pattern 'concrete/obstacles-ideological/possibilities' in the groups' responses, which was elaborated by the teacher for the whole class. Implications from this study include using simulated juries for teaching and learning and for the development of the pre-service teachers' argumentative abilities. The potential of simulated juries to improve teaching and learning needs to be further explored in order to inform the uses and reflections of this resource in science education.
Riandry, M. A.; Ismet, I.; Akhsan, H.
This study aims to produce a valid and practical statistical physics course handout on distribution function materials based on STEM. Rowntree development model is used to produce this handout. The model consists of three stages: planning, development and evaluation stages. In this study, the evaluation stage used Tessmer formative evaluation. It consists of 5 stages: self-evaluation, expert review, one-to-one evaluation, small group evaluation and field test stages. However, the handout is limited to be tested on validity and practicality aspects, so the field test stage is not implemented. The data collection technique used walkthroughs and questionnaires. Subjects of this study are students of 6th and 8th semester of academic year 2016/2017 Physics Education Study Program of Sriwijaya University. The average result of expert review is 87.31% (very valid category). One-to-one evaluation obtained the average result is 89.42%. The result of small group evaluation is 85.92%. From one-to-one and small group evaluation stages, averagestudent response to this handout is 87,67% (very practical category). Based on the results of the study, it can be concluded that the handout is valid and practical.
Gazihan, A.; Salihoglu, B.; Akoglu, E.; Oguz, T.
This study provides a scientific base for Ecosystem Based Fisheries Management (EBFM) decisions for Turkey's exclusive economic zones in the Black Sea, the Marmara Sea, the Aegean Sea and the Mediterranean Sea. For this aim, an interdisciplinary holistic approach is employed to explore the linkages and feedbacks between changing national societal and economic needs, managerial decisions, environmental pressures and the health of regional marine ecosystems through derived socioeconomic and ecological indicators from statistical and field data as well as Ecopath with Ecosim (EwE) model results. Results quantified the level of human induced pressures driven by increasing societal and economic demands due to human population increase, national economic crises and corresponded governmental subsidies. Cumulative effects of these pressures together with changing climatic conditions deteriorated the marine resources and, as a consequence, limited the socio-economic services provided by ecosystems (e.g. nation-wide decreases in weight (-47%) and value (-37%) of landings, economic profitability (-61%) and per capita fish consumption (-29%) over the last decade). Even though the pressures increased correspondingly in all the marine regions, their consequences in the regional marine ecosystems realized differently. Observed trends in socioeconomic and ecologic indicators and past and future model scenario simulations done by Ecopath with Ecosim (EwE) model provided region-specific optimum EBFM options. Research results were synthesized specific to each responsible stakeholder groups and communicated by means of regional stakeholder meetings, project web-side, social and national media and scientific platforms. Present study is expected to increase the stakeholders' awareness for sustainable, responsible resource co-management and will be integrated into decision-making processes and serve as a model case study. This is a contribution funded by TUBITAK (113Y040 DEKOYON Project).
Kinzler, R. J.; Short, J.; Contino, J.; Cooke-Nieves, N.; Howes, E.; Kravitz, D.; Randle, D.; Trowbridge, C.
Leveraging the Rose Center for Earth and Space and active research departments in Earth and Planetary Science, Astrophysics, and Paleontology, the Education Department at the American Museum of Natural History (AMNH) offers an MAT program to prepare new Earth Science teachers (~100 new teachers by 2018) as well as a range of professional development (PD) opportunities for over 3,000 K-12 teachers annually, providing opportunities to learn with scientists; inquiry-based experiences; and standards-aligned resources. The AMNH produces innovative geoscience and other STEM resources supporting teacher and student science investigations with data visualizations and analysis tools, teaching case materials and other resources that provide rich nonfiction reading and writing opportunities for use in Earth and space science curricula that are integrated in the MAT and PD programs. Museum resources and the MAT and PD programs are aligned to support the recently released Next Generation Science Standards (NGSS) and the Common Core State Standards. The NGSS is a set of science and engineering practices, crosscutting concepts and disciplinary core ideas to help cultivate teachers' and K-12 students' scientific habits of mind, develop their knowledge and abilities to engage in scientific investigations, and teach them how to reason in context; goals that closely align with those of the AMNH's teacher preparation and professional development programs. A Framework for K-12 Science Education: Practices, Crosscutting Concepts, and Core Ideas (NRC, 2012) is a required text for the MAT program, and this text as well as the NGSS Performance Expectations guide the PD programs as well. Researchers working with Museum scientists and educators find it is not enough for programs for pre- and in-service teachers to provide access to resources. Research suggests that these programs need to engage pre- and in-service teachers in using and reflecting on these types of resources, as well as take
In 1996, Glen Canyon Dam Adaptive Management (GCDAMP) program was established to provide input on Glen Canyon Dam operations and their affect on the Colorado Ecosystem in Grand Canyon. The GCDAMP is a bold experiment in federal resource management that features a governing partnership with all relevant stakeholders sitting at the same table. It is a complicated, difficult process where stakeholder-derived management actions must balance resource protection with water and power delivery compacts, the Endangered Species Act, the National Historical Preservation Act, the Grand Canyon Protection Act, National Park Service Policy, and other stakeholder concerns. The program consists of four entities: the Adaptive Management Workgroup (AMWG), the Technical Workgroup (TWG), the Grand Canyon Monitoring and Research Center (GCMRC), and independent review panels. The AMWG and TWG are federal advisory committees that consists of federal and state resource managers, Native American tribes, power, environmental and recreation interests. The AMWG is develops, evaluates and recommends alternative dam operations to the Secretary. The TWG translates AMWG policy and goals into management objectives and information needs, provides questions that serve as the basis for long-term monitoring and research activities, interprets research results from the GCMRC, and prepares reports as required for the AMWG. The GCMRC is an independent science center that is responsible for all GCDAMP monitoring and research activities. The GCMRC utilizes proposal requests with external peer review and an in-house staff that directs and synthesizes monitoring and research results. The GCMRC meets regularly with the TWG and AMWG and provides scientific information on the consequences of GCDAMP actions. Independent review panels consist of external peer review panels that provide reviews of scientific activities and the program in general, technical advice to the GCMRC, TWG and AMWG, and play a critical
O'Kane, J. Philip
An honest declaration of the error in a mass, momentum or energy balance, ɛ, simply raises the question of its acceptability: "At what value of ɛ is the attempted balance to be rejected?" Answering this question requires a reference quantity against which to compare ɛ. This quantity must be a mathematical function of all the data used in making the balance. To deliver this function, a theory grounded in a workable definition of acceptability is essential. A distinction must be drawn between a retrospective balance and a prospective budget in relation to any natural space-filling body. Balances look to the past; budgets look to the future. The theory is built on the application of classical sampling theory to the measurement and closure of a prospective budget. It satisfies R.A. Fisher's "vital requirement that the actual and physical conduct of experiments should govern the statistical procedure of their interpretation". It provides a test, which rejects, or fails to reject, the hypothesis that the closing error on the budget, when realised, was due to sampling error only. By increasing the number of measurements, the discrimination of the test can be improved, controlling both the precision and accuracy of the budget and its components. The cost-effective design of such measurement campaigns is discussed briefly. This analysis may also show when campaigns to close a budget on a particular space-filling body are not worth the effort for either scientific or economic reasons. Other approaches, such as those based on stochastic processes, lack this finality, because they fail to distinguish between different types of error in the mismatch between a set of realisations of the process and the measured data.
Denny, Ellen G.; Gerst, Katharine L.; Miller-Rushing, Abraham J.; Tierney, Geraldine L.; Crimmins, Theresa M.; Enquist, Carolyn A.F.; Guertin, Patricia; Rosemartin, Alyssa H.; Schwartz, Mark D.; Thomas, Kathryn A.; Weltzin, Jake F.
Phenology offers critical insights into the responses of species to climate change; shifts in species’ phenologies can result in disruptions to the ecosystem processes and services upon which human livelihood depends. To better detect such shifts, scientists need long-term phenological records covering many taxa and across a broad geographic distribution. To date, phenological observation efforts across the USA have been geographically limited and have used different methods, making comparisons across sites and species difficult. To facilitate coordinated cross-site, cross-species, and geographically extensive phenological monitoring across the nation, the USA National Phenology Network has developed in situ monitoring protocols standardized across taxonomic groups and ecosystem types for terrestrial, freshwater, and marine plant and animal taxa. The protocols include elements that allow enhanced detection and description of phenological responses, including assessment of phenological “status”, or the ability to track presence–absence of a particular phenophase, as well as standards for documenting the degree to which phenological activity is expressed in terms of intensity or abundance. Data collected by this method can be integrated with historical phenology data sets, enabling the development of databases for spatial and temporal assessment of changes in status and trends of disparate organisms. To build a common, spatially, and temporally extensive multi-taxa phenological data set available for a variety of research and science applications, we encourage scientists, resources managers, and others conducting ecological monitoring or research to consider utilization of these standardized protocols for tracking the seasonal activity of plants and animals.
Grunow, Annie M.; Elliot, David H.; Codispoti, Julie E.
The United States Polar Rock Repository (USPRR) is a U. S. national facility designed for the permanent curatorial preservation of rock samples, along with associated materials such as field notes, annotated air photos and maps, raw analytic data, paleomagnetic cores, ground rock and mineral residues, thin sections, and microfossil mounts, microslides and residues from Polar areas. This facility was established by the Office of Polar Programs at the U. S. National Science Foundation (NSF) to minimize redundant sample collecting, and also because the extreme cold and hazardous field conditions make fieldwork costly and difficult. The repository provides, along with an on-line database of sample information, an essential resource for proposal preparation, pilot studies and other sample based research that should make fieldwork more efficient and effective. This latter aspect should reduce the environmental impact of conducting research in sensitive Polar Regions. The USPRR also provides samples for educational outreach. Rock samples may be borrowed for research or educational purposes as well as for museum exhibits.
The first week in September 1987 was an extraordinary one for arms control verification. As part of the co-operative Test Ban Verification Project of the Natural Resources Defense Council (NRDC) and the Soviet Academy of Sciences, fourteen American scientists from the Scripps Institution of Oceanography (at the University of California- San Diego), University of Nevada-Reno and the University of Colorado went to the region of the Soviet's principal nuclear test site near Semipalatinsk. Together with their Soviet counterparts from the Institute of Physics of the Earth (IPE) in Moscow, they fired off three large chemical explosions. The purpose of these explosions was to demonstrate the sensitivity of the three seismic stations surrounding the test site, to study the efficiency with which high-frequency seismic waves propagate in the region, and to study differences between chemical explosions, nuclear explosions and earthquakes in order more firmly to establish procedures for verification of a nuclear test ban. This paper presents a review of the results of these experiments, an update on the status of the joint project, and a review of the significance of high frequency seismic data to test ban verification
Full Text Available Background: There is a worldwide shortage of qualified laboratory personnel to provide adequate testing for the detection and monitoring of diseases. In an effort to increase laboratory capacity in developing countries, new skills have been introduced into laboratory services. Curriculum revision with a focus on good laboratory practice is an important aspect of supplying entry-level graduates with the competencies needed to meet the current needs. Objectives: Gaps in application and problem-solving competencies of newly graduated laboratory personnel were discovered in Ethiopia, Tanzania and Kenya. New medical laboratory teaching content was developed in Ethiopia, Tanzania and Kenya using national instructors, tutors, and experts and consulting medical laboratory educators from the United States of America (USA. Method: Workshops were held in Ethiopia to create standardised biomedical laboratory science (BMLS lessons based on recently-revised course objectives with an emphasis on application of skills. In Tanzania, course-module teaching guides with objectives were developed based on established competency outcomes and tasks. In Kenya, example interactive presentations and lesson plans were developed by the USA medical laboratory educators prior to the workshop to serve as resources and templates for the development of lessons within the country itself. Results: The new teaching materials were implemented and faculty, students and other stakeholders reported successful outcomes. Conclusions: These approaches to updating curricula may be helpful as biomedical laboratory schools in other countries address gaps in the competencies of entry-level graduates.
Alonzo, Alicia C.; Ke, Li
A new vision of science learning described in the "Next Generation Science Standards"--particularly the science and engineering practices and their integration with content--pose significant challenges for large-scale assessment. This article explores what might be learned from advances in large-scale science assessment and…
de Jong, Maarten; Chen, Wei; Notestine, Randy; Persson, Kristin; Ceder, Gerbrand; Jain, Anubhav; Asta, Mark; Gamst, Anthony
Materials scientists increasingly employ machine or statistical learning (SL) techniques to accelerate materials discovery and design. Such pursuits benefit from pooling training data across, and thus being able to generalize predictions over, k-nary compounds of diverse chemistries and structures. This work presents a SL framework that addresses challenges in materials science applications, where datasets are diverse but of modest size, and extreme values are often of interest. Our advances include the application of power or Hölder means to construct descriptors that generalize over chemistry and crystal structure, and the incorporation of multivariate local regression within a gradient boosting framework. The approach is demonstrated by developing SL models to predict bulk and shear moduli (K and G, respectively) for polycrystalline inorganic compounds, using 1,940 compounds from a growing database of calculated elastic moduli for metals, semiconductors and insulators. The usefulness of the models is illustrated by screening for superhard materials.
Niebur, S. M.; Singer, K.; Gardner-Vandy, K.
Fifty-one interviews with women in planetary science are now available as an e-mentoring and teaching resource on WomeninPlanetaryScience.com. Each scientist was nominated and interviewed by a fellow member of the planetary science community, and each gladly shared her advice for advancement in the field. Women in Planetary Science was founded in 2008 to connect communities of current and prospective scientists, to promote proposal and award opportunities, and to stimulate discussion in the planetary science community at large. Regular articles, or posts, by nearly a dozen collaborators highlight a range of current issues for women in this field. These articles are promoted by collaborators on Twitter, Facebook, and Google+ and shared again by the collaborators' contacts, reaching a significantly wider audience. The group's latest project, on Pinterest, is a crowd-sourced photo gallery of more than 350 inspiring women in planetary science; each photo links to the scientist's CV. The interviews, the essays, and the photo gallery are available online as resources for prospective scientists, planetary scientists, parents, and educators.
Full Text Available The participation of the general public in the research design, data collection and interpretation process together with scientists is often referred to as citizen science. While citizen science itself has existed since the start of scientific practice, developments in sensing technology, data processing and visualisation, and communication of ideas and results, are creating a wide range of new opportunities for public participation in scientific research. This paper reviews the state of citizen science in a hydrological context and explores the potential of citizen science to complement more traditional ways of scientific data collection and knowledge generation for hydrological sciences and water resources management. Although hydrological data collection often involves advanced technology, the advent of robust, cheap and low-maintenance sensing equipment provides unprecedented opportunities for data collection in a citizen science context. These data have a significant potential to create new hydrological knowledge, especially in relation to the characterisation of process heterogeneity, remote regions, and human impacts on the water cycle. However, the nature and quality of data collected in citizen science experiments is potentially very different from those of traditional monitoring networks. This poses challenges in terms of their processing, interpretation, and use, especially with regard to assimilation of traditional knowledge, the quantification of uncertainties, and their role in decision support. It also requires care in designing citizen science projects such that the generated data complement optimally other available knowledge. Lastly, we reflect on the challenges and opportunities in the integration of hydrologically-oriented citizen science in water resources management, the role of scientific knowledge in the decision-making process, and the potential contestation to established community institutions posed by co-generation of
Kogan, M.; Laursen, S. L.
Retention of geoscientists throughout the professional pipeline is especially challenging in the case of groups that are already underrepresented in science, including racial minorities and women. The Earth Science Women’s Network (ESWN) is a professional network of early-career female geoscientists that provides its members with a variety of career resources, through both informal, online and in-person networking and formal career development workshops. The group’s members are of diverse nationalities and racial/ethnic backgrounds, of various age cohorts and career stages, but primarily graduate students, postdocs, and early-career researchers. With funding from an NSF ADVANCE grant to ESWN, we have conducted a detailed survey of ESWN members as part of an evaluation-with-research study that aims to determine the career needs of young geoscientists. The survey data provide information about members’ personal and professional situations, their professional development needs, and obstacles they face as young women scientists. ESWN members indicated a variety of areas of professional growth that would advance their scientific careers, but at all career stages, members chose expanding their professional networks as among their top career needs. Professional networking has established benefits for retention of people from groups underrepresented in science, including women: it introduces young scientists to career best practices and advancement opportunities, provides access to role models, and creates a sense of community. ESWN members strongly indicate that their professional networks benefited from their involvement with the Network. The community aspect of network-building is especially important for people from underrepresented groups, as they often feel alone due to the lack of role models. The intimate character of the ESWN discussion list greatly contributes to its members’ sense of community. Moreover, personal concerns and professional success are
Students in the Environmental Studies major at the University of Southern California fulfill their curriculum requirements by taking a broad range of courses in the social and natural sciences. Climate change is often taught in 1-2 lectures in these courses with limited examination of this complex topic. Several upper division elective courses focus on the science, policy, and social impacts of climate change. In an upper division course focused on the scientific tools used to determine paleoclimate and predict future climate, I have developed a project where students download, manipulate, and analyze data from the National Climatic Data Center. Students are required to download 100 or more years of daily temperature records and use the statistical program R to analyze that data, calculating daily, monthly, and yearly temperature averages along with changes in the number of extreme hot or cold days (≥90˚F and ≤30˚F, respectively). In parallel, they examine population growth, city expansion, and changes in transportation looking for correlations between the social data and trends observed in the temperature data. Students examine trends over time to determine correlations to urban heat island effect. This project exposes students to "real" data, giving them the tools necessary to critically analyze scientific studies without being experts in the field. Utilizing the existing, public, online databases provides almost unlimited, free data. Open source statistical programs provide a cost-free platform for examining the data although some in-class time is required to help students navigate initial data importation and analysis. Results presented will highlight data compiled over three years of course projects.
Hartnett, Jessica L.
The present article describes four free or inexpensive Internet-based activities that can be used to supplement statistics/research methods/general psychology classes. Each activity and subsequent homework assessment is described, as well as homework performance outcome and student opinion data for each activity. (Contains 1 table.)
Research frequently uses the quantitative approach to explore undergraduate students' anxiety regarding statistics. However, few studies of adults' statistics anxiety use the qualitative method, or a sole focus on graduate students. Moreover, even fewer studies focus on a comparison of adults' anxiety levels before and after an introductory…
Nick, Todd G
Statistics is defined by the Medical Subject Headings (MeSH) thesaurus as the science and art of collecting, summarizing, and analyzing data that are subject to random variation. The two broad categories of summarizing and analyzing data are referred to as descriptive and inferential statistics. This chapter considers the science and art of summarizing data where descriptive statistics and graphics are used to display data. In this chapter, we discuss the fundamentals of descriptive statistics, including describing qualitative and quantitative variables. For describing quantitative variables, measures of location and spread, for example the standard deviation, are presented along with graphical presentations. We also discuss distributions of statistics, for example the variance, as well as the use of transformations. The concepts in this chapter are useful for uncovering patterns within the data and for effectively presenting the results of a project.
... Summary Coverdell Program 2012-2015 State Summaries Data & Statistics Fact Sheets Heart Disease and Stroke Fact Sheets ... Roadmap for State Planning Other Data Resources Other Statistic Resources Grantee Information Cross-Program Information Online Tools ...
González-Weil, C.; Merino-Rubilar, C.; Ahumada, G.; Arenas, A.; Salinas, V.; Bravo, P.
The present work arises from the need to reform Science Education, particularly through the contextualization of teaching. It is proposed to achieve this through the use of local territory as a resource for the design of teaching-learning-sequences (TLS). To do this, an interdisciplinary group of researchers and teachers from a Secondary School created a Professional Circle for Reflection on Teaching, which constructed an emerging conceptualization of Territory, analyzed the possibil...
The fish and shellfish provided by ecosystems that abound in the waters of Puget Sound have sustained the Suquamish Tribe for millennia. However, years of development, pollution and over-harvest have reduced some fish and shellfish populations to just a fraction of their former abundance. Now, ocean acidification (OA) and climate change pose additional threats to these essential natural resources. Ocean acidification can't be stopped; however, many of the other human-caused stressors to ocean health can. If human behaviors that harm ocean health can be modified to reduce impacts, fish populations and ecosystems could become more resilient to the changing ocean conditions. School is arguably the best place to convey the ideas and awareness needed for people to adopt new behaviors. Students are open to new ideas and they influence their peers and parents. In addition, they are captive audiences in classrooms for many years.The Suquamish Tribe is helping to foster new generations of ocean stewards by creating an online searchable database (OACurriculumCollection.org). This site is designed to facilitate finding, reviewing and sharing free educational materials on OA. At the same time, the Next Generation Science Standards (NGSS) were released providing a great opportunity to get new materials into classrooms. OA provides highly appropriate context to teach many of the ideas in the new standards making it attractive to teachers looking for interesting and relevant materials. In this presentation, we will demonstrate how teachers can use the site as a place to find and share materials on OA. We will also present a framework developed by teachers for understanding OA, its impacts, and the many ways students can help ease the impacts on ocean ecosystems. We will provide examples of how OA can be used as context and content for the NGSS and finally, we will discuss the failures and successes on our journey to get relevant materials into the classroom.
Regmi, S.; Bhusal, J.; Gurung, P.; Ochoa-Tocachi, B. F.; Buytaert, W.
Abstract The Mustang region of the Himalayas has unique geographical and climatic features. This region is characterized by a cold-arid climate with total annual precipitation of less than 300mm. Agriculture and livestock grazing lands are the major ecosystem services, which support directly the livelihoods of local populations yet, are strongly determined by low water availability. As a result, optimizing water resources management is paramount to support local development, but this is severely complicated by the lack of information about water availability. This problem is further aggravated by increasing pressure on the social, physical and climatic environments. In order to support the management of scarce water in irrigation and domestic uses, stream flow and precipitation monitoring networks were established using a participatory approach under the principle of citizen science. Data collection, and the following interpretation and application of the co-generated knowledge relies on local users, whereas the establishment of the system, knowledge co-generation, and development of application tools particularly is part of a collaboration of members of the general public with professional scientists. We show how the resulting data enable local users to quantify the water balance in the area and reduce the uncertainty associated to data-scarcity, which leads to the generation of useable information about water availability for irrigation, livestock grazing, and domestic demand. We contrast the current scenario of water use, under different conditions of natural variability and environmental change, with an optimized water management strategy generated and agreed with local users. This approach contributes to an optimal use of water, to an improvement in ecosystem services supporting to livelihood development and economic progress of local populations. Key words: ecosystem services, climate change, water balance, knowledge generation, irrigation
von Oertzen, Timo; Ghisletta, Paolo; Lindenberger, Ulman
Variability across and within individuals is a fundamental property of adult age changes in behavior [20, 21, 24]. Some people seem young for their age, others seem old; shining examples of older individuals who maintained high levels of intellectual functioning well into very old age, such as Johann Wolfgang von Goethe or Sophocles, stand in contrast to individuals whose cognitive resources are depleted by the time they reach later adulthood. A similar contrast exists between different intellectual abilities. For example, if one looks at the speed needed to identify and discriminate between different percepts, one is likely to find monotonic decline after late adolescence and early adulthood.
Increased biofuel production has heightened awareness of the strong linkages between crop water use and depletion of water resources. Irrigated agriculture consumed 90% of global fresh water resources during the past century. Addressing crop water use and depletion of groundwater resources requires ...
Schiller, Ellen; Melin, Jacque; Bair, Mary
With the release of the "Next Generation Science Standards," many schools are reexamining the science materials they are using. Textbook companies and kit developers are eager to meet the demand for "NGSS"-aligned teaching materials. Teacher may have been asked to serve on a science curriculum committee, or to evaluate current…
Mahan, C.G.; Vanderhorst, J.P.; Young, J.A.
We conducted a natural resource assessment at two national parks, New River Gorge National River and Shenandoah National Park, to help meet the goals of the Natural Resource Challenge-a program to help strengthen natural resource management at national parks. We met this challenge by synthesizing and interpreting natural resource information for planning purposes and we identified information gaps and natural significance of resources. We identified a variety of natural resources at both parks as being globally and/or nationally significant, including large expanses of unfragmented, mixed-mesophytic forests that qualify for wilderness protection, rare plant communities, diverse assemblages of neotropical migratory birds and salamanders, and outstanding aquatic recreational resources. In addition, these parks function, in part, as ecological reserves for plants in and wildlife. With these significant natural resources in mind, we also developed a suite of natural resource management recommendations in light of increasing threats from within and outside park boundaries. We hope that our approach can provide a blueprint for natural resource conservation at publically owned lands.
Stummann, Cathy Brown
This PhD study explores the long-recognized challenge of integrating social science knowledge into NRM public involvement practice theoretically and empirically. Theoretically, the study draws on research from adult learning, continuing rofessional education and professional knowledge development...... to better understand how social science knowledge can benefit NRM public involvement practice. Empirically, the study explores the potential of NRM continuing professional education as a means for introducing social science knowledge to public NRM professionals. The study finds social science knowledge can...... be of value to NRM public involvement prospectively and retrospectively; and that continuing professional education can be an effective means to introducing social science knowledge to public NRM professionals. In the design of NRM continuing professional education focused on social science knowledge...
During the twentieth century statistical methods have transformed research in the experimental and social sciences. Qualitative evidence has largely been replaced by quantitative results and the tools of statistical inference have helped foster a new ideal of objectivity in scientific knowledge. The paper will investigate this transformation by considering the genesis of analysis of variance and experimental design, statistical methods nowadays taught in every elementary course of statistics for the experimental and social sciences. These methods were developed by the mathematician and geneticist R. A. Fisher during the 1920s, while he was working at Rothamsted Experimental Station, where agricultural research was in turn reshaped by Fisher's methods. Analysis of variance and experimental design required new practices and instruments in field and laboratory research, and imposed a redistribution of expertise among statisticians, experimental scientists and the farm staff. On the other hand the use of statistical methods in agricultural science called for a systematization of information management and made computing an activity integral to the experimental research done at Rothamsted, permanently integrating the statisticians' tools and expertise into the station research programme. Fisher's statistical methods did not remain confined within agricultural research and by the end of the 1950s they had come to stay in psychology, sociology, education, chemistry, medicine, engineering, economics, quality control, just to mention a few of the disciplines which adopted them.
Valkokari , Katri; Amitrano , Cristina ,; Bifulco , Francesco; Valjakka , Tiina
Part 13: Design Science and Business Models - Design Science Research; International audience; Through a design science approach, the paper explores how actors in a network create and sustain competitive advantage independently and through participation in a system of actors (i.e., a collaborative network) who are not hierarchically managed but, rather, act toward their own goals within the innovation ecosystem. In accordance with design studies, the relevance of research and its quality are ...
Stumann, Cathy Brown; Gamborg, Christian
on the impact of these changes for NRM professionals resulted in many studies calling for NRM professionals to learn a host of new social science-related skills and knowledge. Twenty years later, research continues to show that NRM professionals are struggling to develop these ‘new’ skills and calls...... for integrating the social sciences in NRM education and practice endure. This paper discusses the challenge of integrating social science skills and knowledge into NRM public involvement practice and continuing professional education. The paper argues for a reconsideration of how social science theories relate...... to professionals’ practical theories and concludes with some implications and proposals for NRM continuing professional education....
Lu, Fletcher; Lemonde, Manon
The objective of this study was to assess if online teaching delivery produces comparable student test performance as the traditional face-to-face approach irrespective of academic aptitude. This study involves a quasi-experimental comparison of student performance in an undergraduate health science statistics course partitioned in two ways. The first partition involves one group of students taught with a traditional face-to-face classroom approach and the other through a completely online instructional approach. The second partition of the subjects categorized the academic aptitude of the students into groups of higher and lower academically performing based on their assignment grades during the course. Controls that were placed on the study to reduce the possibility of confounding variables were: the same instructor taught both groups covering the same subject information, using the same assessment methods and delivered over the same period of time. The results of this study indicate that online teaching delivery is as effective as a traditional face-to-face approach in terms of producing comparable student test performance but only if the student is academically higher performing. For academically lower performing students, the online delivery method produced significantly poorer student test results compared to those lower performing students taught in a traditional face-to-face environment.
Knudsen, Anders Dahl; Bennike, Tue; Kjeldal, Henrik; Birkelund, Svend; Otzen, Daniel Erik; Stensballe, Allan
We describe Condenser, a freely available, comprehensive open-source tool for merging multidimensional quantitative proteomics data from the Matrix Science Mascot Distiller Quantitation Toolbox into a common format ready for subsequent bioinformatic analysis. A number of different relative quantitation technologies, such as metabolic (15)N and amino acid stable isotope incorporation, label-free and chemical-label quantitation are supported. The program features multiple options for curative filtering of the quantified peptides, allowing the user to choose data quality thresholds appropriate for the current dataset, and ensure the quality of the calculated relative protein abundances. Condenser also features optional global normalization, peptide outlier removal, multiple testing and calculation of t-test statistics for highlighting and evaluating proteins with significantly altered relative protein abundances. Condenser provides an attractive addition to the gold-standard quantitative workflow of Mascot Distiller, allowing easy handling of larger multi-dimensional experiments. Source code, binaries, test data set and documentation are available at http://condenser.googlecode.com/. Copyright © 2014 Elsevier B.V. All rights reserved.
Pujana, I.; Stern, R. J.; Ledbetter, C. E.
With NSF-CCLI funding, we have developed, taught, and evaluated a new lower-division science course for non-majors, entitled "Geography, Resources, and Environment of Hispanic America" (GRELA). This is an adaptation of a similar course, "Geology and Development of Modern Africa" developed by Barbara Tewksbury (Hamilton College), to attract African American students to science by highlighting cultural ties with their ancestral lands. We think that a similar approach focusing on Latin America may attract Hispanic undergraduates, at the same time that it increases awareness among non-Hispanic students about challenges facing our neighbors to the south. GRELA is an interdisciplinary exploration of how the physical and biological environment of Mexico, Central America, and South America have influenced the people who live there. The course consists of 20 lectures and requires the student to present a report partnering with correspondents in Latin American universities. GRELA begins with an overview of Latin American physical and cultural geography and geologic evolution followed by a series of modules that relate the natural resources and environment of Latin America to the history, economy, and culture of the region. This is followed by an exploration of pre-Columbian cultures. The use of metals by pre-Columbian, colonial, and modern cultures is presented next. We then discuss hydrocarbon resources, geothermal energy, and natural hazards of volcanoes and earthquakes. The last half of the course focuses on Earth System Science themes, including El Nino, glaciers, the Amazon river and rainforest, and coral reefs. The final presentation concerns population growth and water resources along the US-Mexico border. Grades are based on two midterms, one final, and a project which requires that groups of students communicate with scientists in Latin America to explore some aspect of geography, natural resources, or the environment of a Latin American region of common interest
Saleh, Ahlam A; Ratajeski, Melissa A; Bertolet, Marnie
To identify estimates of time taken to search grey literature in support of health sciences systematic reviews and to identify searcher or systematic review characteristics that may impact resource selection or time spent searching. A survey was electronically distributed to searchers embarking on a new systematic review. Characteristics of the searcher and systematic review were collected along with time spent searching and what resources were searched. Time and resources were tabulated and resources were categorized as grey or non-grey. Data was analyzed using Kruskal-Wallis tests. Out of 81 original respondents, 21% followed through with completion of the surveys in their entirety. The median time spent searching all resources was 471 minutes, and of those a median of 85 minutes were spent searching grey literature. The median number of resources used in a systematic review search was four and the median number of grey literature sources searched was two. The amount of time spent searching was influenced by whether the systematic review was grant funded. Additionally, the number of resources searched was impacted by institution type and whether systematic review training was received. This study characterized the amount of time for conducting systematic review searches including searching the grey literature, in addition to the number and types of resources used. This may aid searchers in planning their time, along with providing benchmark information for future studies. This paper contributes by quantifying current grey literature search patterns and associating them with searcher and review characteristics. Further discussion and research into the search approach for grey literature in support of systematic reviews is encouraged.
34 William A. Link, Patuxent Wildlife Research Center "Increasing reliability of multiversion fault-tolerant software design by modulation," Junryo 3... Multiversion lault-Tolerant Software Design by Modularization Junryo Miyashita Department of Computer Science California state University at san Bernardino Fault...They shall beE refered to as " multiversion fault-tolerant software design". Onel problem of developing multi-versions of a program is the high cost
Vanvyve, E.; Magontier, P.; Vandenberghe, F. C.; Delle Monache, L.; Dickinson, K.
Wind energy is amongst the fastest growing sources of renewable energy in the U.S. and could supply up to 20 % of the U.S power production by 2030. An accurate and reliable wind resource assessment for prospective wind farm sites is a challenging task, yet is crucial for evaluating the long-term profitability and feasibility of a potential development. We have developed an accurate and computationally efficient wind resource assessment technique for prospective wind farm sites, which incorporates innovative statistical techniques and the new NASA Earth science dataset MERRA. This technique produces a wind resource estimate that is more accurate than that obtained by the wind energy industry's standard technique, while providing a reliable quantification of its uncertainty. The focus now is on evaluating the socio-economic value of this new technique upon using the industry's standard technique. Would it yield lower financing costs? Could it result in lower electricity prices? Are there further down-the-line positive consequences, e.g. job creation, time saved, greenhouse gas decrease? Ultimately, we expect our results will inform efforts to refine and disseminate the new technique to support the development of the U.S. renewable energy infrastructure. In order to address the above questions, we are carrying out a cost-benefit analysis based on the net present worth of the technique. We will describe this approach, including the cash-flow process of wind farm financing, how the wind resource assessment factors in, and will present current results for various hypothetical candidate wind farm sites.
Mathews, Thomas G.
The working paper describes how a social scientist might go about locating resources for any particular study. Researchers are directed to non-Caribbean based material in European Archives as well as collections in the United States. Caribbean resources are analyzed by county. The countries include Cuba, Dominican Republic, Puerto Rico,…
Full Text Available water are inextricably linked via the hydrological cycle, it is also logical for water resource managers to seek to manage all forms of water as a single resource within the management unit. These two technical principles form the foundation...
Salemi, Michael K.; Leak, Sarah
Background information for teachers on inflation and self-contained learning activities to help students view inflation from both economic and political perspectives are provided. The introduction contains economics and political science frameworks for analyzing policy issues. How to integrate economics and political science is also discussed.…
Miller, Ryder W.
The purpose of this article is to show how traditional science fiction, an empowering literature of social criticism, can be used by environmental educators to reach the traditional goals of environmental education. The sub-genres of science fiction are discussed along with ways in which they can be used to reach certain goals of environmental…
Zhang, Danhui; Orrill, Chandra; Campbell, Todd
The purpose of this study was to investigate whether mixture Rasch models followed by qualitative item-by-item analysis of selected Programme for International Student Assessment (PISA) mathematics and science items offered insight into knowledge students invoke in mathematics and science separately and combined. The researchers administered an…
Matiatos, Ioannis; Alexopoulos, Apostolos; Godelitsas, Athanasios
The present study involves an integration of the hydrogeological, hydrochemical and isotopic (both stable and radiogenic) data of the groundwater samples taken from aquifers occurring in the region of northeastern Peloponnesus. Special emphasis has been given to health-related ions and isotopes in relation to the WHO and USEPA guidelines, to highlight the concentrations of compounds (e.g., As and Ba) exceeding the drinking water thresholds. Multivariate statistical analyses, i.e. two principal component analyses (PCA) and one discriminant analysis (DA), combined with conventional hydrochemical methodologies, were applied, with the aim to interpret the spatial variations in the groundwater quality and to identify the main hydrogeochemical factors and human activities responsible for the high ion concentrations and isotopic content in the groundwater analysed. The first PCA resulted in a three component model, which explained approximately 82% of the total variance of the data sets and enabled the identification of the hydrogeological processes responsible for the isotopic content i.e., δ(18)Ο, tritium and (222)Rn. The second PCA, involving the trace element presence in the water samples, revealed a four component model, which explained approximately 89% of the total variance of the data sets, giving more insight into the geochemical and anthropogenic controls on the groundwater composition (e.g., water-rock interaction, hydrothermal activity and agricultural activities). Using discriminant analysis, a four parameter (δ(18)O, (Ca+Mg)/(HCO3+SO4), EC and Cl) discriminant function concerning the (222)Rn content was derived, which favoured a classification of the samples according to the concentration of (222)Rn as (222)Rn-safe (11 Bq·L(-1)). The selection of radon builds on the fact that this radiogenic isotope has been generally related to increased health risk when consumed. Copyright © 2014 Elsevier B.V. All rights reserved.
Home; Journals; Resonance – Journal of Science Education; Volume 1; Issue 5. Sampling, Probability Models and Statistical Reasoning Statistical Inference. Mohan Delampady V R Padmawar. General Article Volume 1 Issue 5 May 1996 pp 49-58 ...
Glynn, P. D.; Shapiro, C. D.; Liu, S. B.
The need for broader understanding and involvement in science coupled with social technology advances enabling crowdsourcing and citizen science have created greater opportunities for public participation in the gathering, interpretation, and use of geospatial information. The U.S. Geological Survey (USGS) is developing guidance for USGS scientists, partners, and interested members of the public on when and how public participation can most effectively be used in the conduct of scientific activities. Public participation can provide important perspectives and knowledge that cannot be obtained through traditional scientific methods alone. Citizen engagement can also provide increased efficiencies to USGS science and additional benefits to society including enhanced understanding, appreciation, and interest in geospatial information and its use in decision making.The USGS guidance addresses several fundamental issues by:1. Developing an operational definition of citizen or participatory science.2. Identifying the circumstances under which citizen science is appropriate for use and when its use is not recommended. 3. Describing structured processes for effective use of citizen science. 4. Defining the successful application of citizen science and identifying useful success metrics.The guidance is coordinated by the USGS Science and Decisions Center and developed by a multidisciplinary team of USGS scientists and managers. External perspectives will also be incorporated, as appropriate to align with other efforts such as the White House Office of Science and Technology Policy (OSTP) Citizen Science and Crowdsourcing Toolkit for the Federal government. The guidance will include the development of an economic framework to assess the benefits and costs of geospatial information developed through participatory processes. This economic framework considers tradeoffs between obtaining additional perspectives through enhanced participation with costs associated from obtaining
Selmer, Sarah J.; Rye, James A.; Malone, Elizabeth; Fernandez, Danielle; Trebino, Kathryn
Statistical literacy is essential to scientific literacy, and the quest for such is best initiated in the elementary grades. The "Next Generation Science Standards and the Common Core State Standards for Mathematics" set forth practices (e.g., asking questions, using tools strategically to analyze and interpret data) and content (e.g.,…
Levesque, Karen; Wun, Jolene; Green, Caitlin
The definition of CTE (career/technical education) used by the National Center for Education Statistics (NCES) includes, at the high school level, family and consumer sciences education, general labor market preparation, and occupational education (Bradby and Hoachlander 1999; Bradby and Hudson 2007). Most researchers focus on occupational…
Full Text Available Abstract This study statistically investigates the characteristics of the intended curriculum for Japanese primary science, focusing on the learning content. The study used the TIMSS 2011 Grade 4 Curriculum Questionnaire data as a major source for the learning content prescribed at the national level. Confirmatory factor analysis was used to determine the extent to which a topic area was covered, as compared to the average among the 59 TIMSS 2011 participating countries. The study revealed that the topic areas of “Human Health” and “Changes in Environments,” both in the life science domain, showed statistically less coverage in the Japanese primary science curriculum when compared to the international average. Furthermore, in discussion, the study relates the characteristics found in the intended curriculum to those in the attained curriculum, examining the percent correct statistics for relevant items from the science assessment. Based on these findings, the study proposes two recommendations for revision of the Japanese primary science curriculum.
The purpose of this Guidebook to Excellence is to assist educators, parents, and students across the country in attaining the National Education Goals, particularly Goal 4: By the year 2000, US students will be first in the world in science and mathematics achievement. The Guidebook will help make the education community aware of the Federal Government`s extensive commitment to mathematics and science education. Sixteen Federal agencies collaborated with the Eisenhower National Clearinghouse to produce this publication. Although the Guidebook contains valuable information for anyone involved in mathematics and science education, its focus is on the elementary and secondary levels.
This scale-up study investigated the impact of a teacher technology tool (Curriculum Customization Service, CCS), curriculum, and online resources on earth science teachers' attitudes, beliefs, and practices and on students' achievement and engagement with science learning. Participants included 73 teachers and over 2,000 ninth-grade students within five public school districts in the western U.S. To assess the impact on teachers, changes between pre- and postsurveys were examined. Results suggest that the CCS tool appeared to significantly increase both teachers' awareness of other earth science teachers' practices and teachers' frequency of using interactive resources in their lesson planning and classroom teaching. A standard multiple regression model was developed. In addition to "District," "Training condition" (whether or not teachers received CCS training) appeared to predict teachers' attitudes, beliefs, and practices. Teachers who received CCS training tended to have lower postsurvey scores than their peers who had no CCS training. Overall, usage of the CCS tool tended to be low, and there were differences among school districts. To assess the impact on students, changes were examined between pre- and postsurveys of (1) knowledge assessment and (2) students' engagement with science learning. Students showed pre- to postsurvey improvements in knowledge assessment, with small to medium effect sizes. A nesting effect (students clustered within teachers) in the Earth's Dynamic Geosphere (EDG) knowledge assessment was identified and addressed by fitting a two-level hierarchical linear model (HLM). In addition, significant school district differences existed for student post-knowledge assessment scores. On the student engagement questionnaire, students tended to be neutral or to slightly disagree that science learning was important in terms of using science in daily life, stimulating their thinking, discovering science concepts, and satisfying their own
Liou, Pey-Yan; Hung, Yi-Chen
We conducted a methodological review of articles using the Programme for International Student Assessment (PISA) or Trends in International Mathematics and Science Study (TIMSS) data published by the SSCI-indexed science education journals, such as the "International Journal of Science and Mathematics Education," the "International…
consumption patterns, diets and resource use of its population that will only increase 1...Indonesia, Vietnam, Thailand and Malaysia - have started to put, if not ramped up existing, green policies in place. 9 In India, the government’s
David, Michael C; Eley, Diann S; Schafer, Jennifer; Davies, Leo
The primary aim of this study was to assess the predictive validity of cumulative grade point average (GPA) for performance in the International Foundations of Medicine (IFOM) Clinical Science Examination (CSE). A secondary aim was to develop a strategy for identifying students at risk of performing poorly in the IFOM CSE as determined by the National Board of Medical Examiners' International Standard of Competence. Final year medical students from an Australian university medical school took the IFOM CSE as a formative assessment. Measures included overall IFOM CSE score as the dependent variable, cumulative GPA as the predictor, and the factors age, gender, year of enrollment, international or domestic status of student, and language spoken at home as covariates. Multivariable linear regression was used to measure predictor and covariate effects. Optimal thresholds of risk assessment were based on receiver-operating characteristic (ROC) curves. Cumulative GPA (nonstandardized regression coefficient [B]: 81.83; 95% confidence interval [CI]: 68.13 to 95.53) and international status (B: -37.40; 95% CI: -57.85 to -16.96) from 427 students were found to be statistically associated with increased IFOM CSE performance. Cumulative GPAs of 5.30 (area under ROC [AROC]: 0.77; 95% CI: 0.72 to 0.82) and 4.90 (AROC: 0.72; 95% CI: 0.66 to 0.78) were identified as being thresholds of significant risk for domestic and international students, respectively. Using cumulative GPA as a predictor of IFOM CSE performance and accommodating for differences in international status, it is possible to identify students who are at risk of failing to satisfy the National Board of Medical Examiners' International Standard of Competence.
Gray, Steven; Shwom, Rachael; Jordan, Rebecca
Building trust between resource users and natural resource institutions is essential when creating conservation policies that rely on stakeholders to be effective. Trust can enable the public and agencies to engage in cooperative behaviors toward shared goals and address shared problems. Despite the increasing attention that trust has received recently in the environmental management literature, the influence that individual cognitive and behavioral factors may play in influencing levels of trust in resource management institutions, and their associated scientific assessments, remains unclear. This paper uses the case of fisheries management in the northeast to explore the relationships between an individual's knowledge of the resource, perceptions of resource health, and participatory experience on levels of trust. Using survey data collected from 244 avid recreational anglers in the Northeast U.S., we test these relationships using structural equation modeling. Results indicate that participation in fisheries management is associated with increased trust across all aspects of fisheries management. In addition, higher ratings of resource health by anglers are associated with higher levels of trust of state and regional institutions, but not federal institutions or scientific methods.
Ramachandran, R.; Movva, S.; Li, X.; Cherukuri, P.; Graves, S.
The goal for search engines is to return results that are both accurate and complete. The search engines should find only what you really want and find everything you really want. Search engines (even meta search engines) lack semantics. The basis for search is simply based on string matching between the user's query term and the resource database and the semantics associated with the search string is not captured. For example, if an atmospheric scientist is searching for "pressure" related web resources, most search engines return inaccurate results such as web resources related to blood pressure. In this presentation Noesis, which is a meta-search engine and a resource aggregator that uses domain ontologies to provide scoped search capabilities will be described. Noesis uses domain ontologies to help the user scope the search query to ensure that the search results are both accurate and complete. The domain ontologies guide the user to refine their search query and thereby reduce the user's burden of experimenting with different search strings. Semantics are captured by refining the query terms to cover synonyms, specializations, generalizations and related concepts. Noesis also serves as a resource aggregator. It categorizes the search results from different online resources such as education materials, publications, datasets, web search engines that might be of interest to the user.
They also highlight a number of methods used and adapted in the very diverse ..... Knowledge of and experience in social science research among natural resource ...... Gangtok: Bureau of Economics and Statistics, Department of Planning, ...
Full Text Available List Contact us RGP estmap2001 Statistics information of rice EST mapping results Data detail Data name Statistics...of This Database Site Policy | Contact Us Statistics information of rice EST mapping results - RGP estmap2001 | LSDB Archive ...
Foster, S. Q.; Randall, D.; Denning, S.; Jones, B.; Russell, R.; Gardiner, L.; Hatheway, B.; Johnson, R. M.; Drossman, H.; Pandya, R.; Swartz, D.; Lanting, J.; Pitot, L.
The need for improving the representation of cloud processes in climate models has been one of the most important limitations of the reliability of climate-change simulations. The new National Science Foundation- funded Center for Multi-scale Modeling of Atmospheric Processes (CMMAP) at Colorado State University (CSU) is a major research program addressing this problem over the next five years through a revolutionary new approach to representing cloud processes on their native scales, including the cloud-scale interactions among the many physical and chemical processes that are active in cloud systems. At the end of its first year, CMMAP has established effective partnerships between scientists, students, and teachers to meet its goals to: (1) provide first-rate graduate education in atmospheric science; (2) recruit diverse undergraduates into graduate education and careers in climate science; and (3) develop, evaluate, and disseminate educational resources designed to inform K-12 students, teachers, and the general public about the nature of the climate system, global climate change, and career opportunities in climate science. This presentation will describe the partners, our challenges and successes, and measures of achievement involved in the integrated suite of programs launched in the first year. They include: (1) a new high school Colorado Climate Conference drawing prestigious climate scientists to speak to students, (2) a summer Weather and Climate Workshop at CSU and the National Center for Atmospheric Research introducing K-12 teachers to Earth system science and a rich toolkit of teaching materials, (3) a program from CSU's Little Shop of Physics reaching 50 schools and 20,000 K-12 students through the new "It's Up In the Air" program, (4) expanded content, imagery, and interactives on clouds, weather, climate, and modeling for students, teachers, and the public on The Windows to the Universe web site at University Corporation for Atmospheric Research
Rogers, M. A.; Schranz, S.
The Front Range of the Rocky Mountains in Colorado is a region particularly susceptable to both wildfire and flash flooding. As the population of Colorado continues to boom, it is critical to enhance the familiarity of resources that are available to the general public to understand, predict, and react to these dangers. At the Cooperative Institute for Research in the Atmosphere (CIRA), a NOAA Cooperative Institute in partnership with Colorado State University, several research products related fire and precipitation processes have been evaluated and developed for public use. As part of a pilot program under development at CIRA, extensive use of CIRA public-facing products are now being used as part of teacher professional development programs available to educators on an ad-hoc basis along the Front Range. These PD programs address state standards in weather prediction, hazard mitigation, and natural disaster awareness, and are designed to incorporate NOAA resources into the classroom, including use of satellite imagery products such as the Satellite Loop Interactive Data Explorer in Real-Time (SLIDER) package, fire weather products developed at the Earth Systems Research Laboratory, and others. Resilience-focused efforts are drawn from fire weather training resources developed for and used by NWS IMET teams, and state suggestions for fire and flood mitigation efforts, tying in these concepts to the basic science made observable using NOAA products. Teachers become proficient in using products as teaching elements in the classroom, with the end goal of improving both awareness and resiliency while improving the awareness of NOAA products. Citizen science programs also incorporate these elements in ad-hoc presentations to museum groups and through partnerships with citizen science networks along the Front Range. Subject-matter expert presentations to community members of local organizations such as the Soaring Eagle Ecology Center and the Anythink Library Network
The nuclear power and nuclear waste situation in the Usa, is first reviewed. In order to enhance information concerning these topics among pupils and teachers, a resource curriculum, 'Science, society, and America's Nuclear Waste', was developed by teachers for teachers; it consists of four units: nuclear waste, ionizing radiation, the nuclear waste policy act, and the waste management system. It has been well received by teachers. Within nine months after its national introduction, 350000 teacher and student curriculum documents were requested by teachers from all 50 states. Requests have been also received from 250 foreign colleges and universities
Bowen, Zachary H.; Melcher, Cynthia P.; Wilson, Juliette T.
The Ecosystem Dynamics Branch of the Fort Collins Science Center offers an interdisciplinary team of talented and creative scientists with expertise in biology, botany, ecology, geology, biogeochemistry, physical sciences, geographic information systems, and remote-sensing, for tackling complex questions about natural resources. As demand for natural resources increases, the issues facing natural resource managers, planners, policy makers, industry, and private landowners are increasing in spatial and temporal scope, often involving entire regions, multiple jurisdictions, and long timeframes. Needs for addressing these issues include (1) a better understanding of biotic and abiotic ecosystem components and their complex interactions; (2) the ability to easily monitor, assess, and visualize the spatially complex movements of animals, plants, water, and elements across highly variable landscapes; and (3) the techniques for accurately predicting both immediate and long-term responses of system components to natural and human-caused change. The overall objectives of our research are to provide the knowledge, tools, and techniques needed by the U.S. Department of the Interior, state agencies, and other stakeholders in their endeavors to meet the demand for natural resources while conserving biodiversity and ecosystem services. Ecosystem Dynamics scientists use field and laboratory research, data assimilation, and ecological modeling to understand ecosystem patterns, trends, and mechanistic processes. This information is used to predict the outcomes of changes imposed on species, habitats, landscapes, and climate across spatiotemporal scales. The products we develop include conceptual models to illustrate system structure and processes; regional baseline and integrated assessments; predictive spatial and mathematical models; literature syntheses; and frameworks or protocols for improved ecosystem monitoring, adaptive management, and program evaluation. The descriptions
Primary school pupils in Van Rhyn School in Namibia are taught Natural Sciences from grade 4 at the age of 9. The curriculum is mainly theory/classroom based and natural science is taught through theory and various practical activities. However occasionally teachers have opportunities to supplement the pupils' learning experience through outdoor activities such as excursions to museums, municipal works and science fairs. Apart from enhancing the learning experience and improving understanding, such activities make the Natural science subject more interesting subject to learners. Water, a scarce/limited resource in Namibia, is one of the topics we cover in Natural sciences. Sustainable management of water is one of the top priorities of the government, which through various initiatives including the National Development Plan supports innovative ideas and technologies to reclaim water from sewage, recycling of industry and mining water and use semi-purified water for public recreational places. Most of the water used in Windhoek is reclaimed by City of Windhoek. To better illustrate this to the pupils, a school trip with 40 pupils of seventh grade was taken to the City of Windhoek's Gammams Water Care works. The aim of the trip was to show how the sewage purification process works and how the water is reclaimed from sewage. A guided tour of the water works was given by the resident scientists and the pupils were provided with the worksheet to complete after the tour around the Centre. They were encouraged to ask questions in all stages of water purification process and write down short notes. Most learners completed their worksheet during the tour session as they are getting information from the tour guide. The rest had to retrieve information and do further research as they got back to class so they could complete their worksheets. After the tour to Gammams, learners were asked to share what they had learned with the lower grades, 5 and 6, in a classroom
Burley, Thomas E.
Effective decision making is closely related to the quality and completeness of available data and information. Data management helps to ensure data quality in any discipline and supports decision making. Managing data as a long-term scientific asset helps to ensure that data will be usable beyond the original intended application. Emerging issues in water-resources management and climate variability require the ability to analyze change in the conditions of natural resources over time. The availability of quality, well-managed, and documented data from the past and present helps support this requirement.
Tiemo, Pereware Aghwotu; Ateboh, Benedict Alaowei
This study investigated users' satisfaction with library information resources and services at the College of Health Sciences (CHS) library Niger Delta University, Nigeria. The objective was to determine the level of users satisfaction with library information resources and services. 2 (two) research questions were formulated to guide the study.…
Marín Arraiza, Paloma; Plank, Margret; Löwe, Peter
Scientific audiovisual media such as videos of research, interactive displays or computer animations has become an important part of scientific communication and education. Dynamic phenomena can be described better by audiovisual media than by words and pictures. For this reason, scientific videos help us to understand and discuss environmental phenomena more efficiently. Moreover, the creation of scientific videos is easier than ever, thanks to mobile devices and open source editing software. Video-clips, webinars or even the interactive part of a PICO are formats of scientific audiovisual media used in the Geosciences. This type of media translates the location-referenced Science Communication such as environmental interpretation into computed-based Science Communication. A new way of Science Communication is video abstracting. A video abstract is a three- to five-minute video statement that provides background information about a research paper. It also gives authors the opportunity to present their research activities to a wider audience. Since this kind of media have become an important part of scientific communication there is a need for reliable infrastructures which are capable of managing the digital assets researchers generate. Using the reference of the usecase of video abstracts this paper gives an overview over the activities by the German National Library of Science and Technology (TIB) regarding publishing and linking audiovisual media in a scientifically sound way. The German National Library of Science and Technology (TIB) in cooperation with the Hasso Plattner Institute (HPI) developed a web-based portal (av.tib.eu) that optimises access to scientific videos in the fields of science and technology. Videos from the realms of science and technology can easily be uploaded onto the TIB|AV Portal. Within a short period of time the videos are assigned a digital object identifier (DOI). This enables them to be referenced, cited, and linked (e.g. to the
The study aims is to describe how the inclusion and exclusion of materials and calculative devices construct the boundaries and distinctions between statistical facts and artifacts in economics. My methodological approach is inspired by John Graunt's (1667) Political arithmetic and more recent work...... within constructivism and the field of Science and Technology Studies (STS). The result of this approach is here termed reversible statistics, reconstructing the findings of a statistical study within economics in three different ways. It is argued that all three accounts are quite normal, albeit...... in different ways. The presence and absence of diverse materials, both natural and political, is what distinguishes them from each other. Arguments are presented for a more symmetric relation between the scientific statistical text and the reader. I will argue that a more symmetric relation can be achieved...
Biomass Maps Biomass Maps These maps illustrate the biomass resource in the United States by county . Biomass feedstock data are analyzed both statistically and graphically using a geographic information Data Science Team. Solid Biomass Resources Map of Total Biomass Resources in the United States Solid
Full Text Available Michael C David,1 Diann S Eley,2 Jennifer Schafer,2 Leo Davies,3 1School of Public Health, 2School of Medicine, The University of Queensland, Herston, QLD, 3Sydney Medical School, The University of Sydney, NSW, Australia Purpose: The primary aim of this study was to assess the predictive validity of cumulative grade point average (GPA for performance in the International Foundations of Medicine (IFOM Clinical Science Examination (CSE. A secondary aim was to develop a strategy for identifying students at risk of performing poorly in the IFOM CSE as determined by the National Board of Medical Examiners’ International Standard of Competence. Methods: Final year medical students from an Australian university medical school took the IFOM CSE as a formative assessment. Measures included overall IFOM CSE score as the dependent variable, cumulative GPA as the predictor, and the factors age, gender, year of enrollment, international or domestic status of student, and language spoken at home as covariates. Multivariable linear regression was used to measure predictor and covariate effects. Optimal thresholds of risk assessment were based on receiver-operating characteristic (ROC curves. Results: Cumulative GPA (nonstandardized regression coefficient [B]: 81.83; 95% confidence interval [CI]: 68.13 to 95.53 and international status (B: –37.40; 95% CI: –57.85 to –16.96 from 427 students were found to be statistically associated with increased IFOM CSE performance. Cumulative GPAs of 5.30 (area under ROC [AROC]: 0.77; 95% CI: 0.72 to 0.82 and 4.90 (AROC: 0.72; 95% CI: 0.66 to 0.78 were identified as being thresholds of significant risk for domestic and international students, respectively. Conclusion: Using cumulative GPA as a predictor of IFOM CSE performance and accommodating for differences in international status, it is possible to identify students who are at risk of failing to satisfy the National Board of Medical Examiners’ International
Ramachandran, Rahul; Maskey, Manil; Li, Xiang; Bugbee, Kaylin
This paper presents two research applications exploiting unused metadata resources in novel ways to aid data discovery and exploration capabilities. The results based on the experiments are encouraging and each application has the potential to serve as a useful standalone component or service in a data system. There were also some interesting lessons learned while designing the two applications and these are presented next.
Richardson, Linda B., Comp.; And Others
This collection includes four handouts: (1) "Selection Critria Considerations for Computer-Based Resources" (Linda B. Richardson); (2) "Software Collection Policies in Academic Libraries" (a 24-item bibliography, Jane W. Johnson); (3) "Circulation and Security of Software" (a 19-item bibliography, Sara Elizabeth Williams); and (4) "Bibliography of…
So, Wing-mui Winnie; Ching, Ngai-ying Fiona
With the rapid expansion of broadband Internet connection and availability of high performance yet low priced computers, many countries around the world are advocating the adoption of e-learning, the use of computer technology to improve learning and teaching. The trend of e-learning has urged many teachers to incorporate online resources in their…
Stummann, C. B.; Gamborg, C.
Over 25 years ago, the "wicked problems" concept was introduced into forestry to describe the increasingly complex work situations faced by many natural resource management (NRM) professionals and at the same time the demand and frequency of public involvement in NRM issues also grew. Research on the impact of these changes for NRM…
Pamela J. Jakes; John F. Dwyer; Deborah S. Carr
With ever tightening resources to address an increased number of diverse and complex issues, it has become common for scientists and managers to be called upon to demonstrate the value of their programs. In the spring of 1995, social scientists at the USDA Forest Service North Central Forest Experiment Station we so called upon. This paper discusses an effort to...
L. Benda; D. Miller; K. Andras; P. Bigelow; G. Reeves; D. Michael
In this paper, we show how application of principles of river ecology can guide use of a comprehensive terrain database within geographic information system (GIS) to facilitate watershed analysis relevant to natural resource management. We present a unique arrangement of a terrain database, GIS, and principles of riverine ecology for the purpose of advancing watershed...
Antony S. Cheng; Linda E. Kruger; Steven E. Daniels
This article lays out six propositions centering on a relationship between peopleplace connections and strategic behavior in natural resource politics. The first two propositions suggest a strong and direct connection between self-identity, place, and how individuals perceive and value the environment. The third, fourth, and fifth propositions tie together social group...
Anchorage School District, AK.
This resource book introduces sixth-grade children to the physical and chemical properties of gases. The unit begins with an investigation of acids and bases. Students then generate carbon dioxide, oxygen, and hydrogen, and investigate the properties of each. The unit culminates with an activity involving an unknown gas. Students conduct tests to…
Crowther, Gregory J.
Potential benefits of incorporating music into science and math curricula include enhanced recall of information, counteraction of perceptions that the material is dull or impenetrable, and opportunities for active student engagement and creativity. To help instructors and others find songs suited to their needs, I created the "Math And Science…
Popescu, George V; Noutsos, Christos; Popescu, Sorina C
In modern plant biology, progress is increasingly defined by the scientists' ability to gather and analyze data sets of high volume and complexity, otherwise known as "big data". Arguably, the largest increase in the volume of plant data sets over the last decade is a consequence of the application of the next-generation sequencing and mass-spectrometry technologies to the study of experimental model and crop plants. The increase in quantity and complexity of biological data brings challenges, mostly associated with data acquisition, processing, and sharing within the scientific community. Nonetheless, big data in plant science create unique opportunities in advancing our understanding of complex biological processes at a level of accuracy without precedence, and establish a base for the plant systems biology. In this chapter, we summarize the major drivers of big data in plant science and big data initiatives in life sciences with a focus on the scope and impact of iPlant, a representative cyberinfrastructure platform for plant science.
Babaii, Esmat; Atai, Mahmood Reza; Saidi, Mavadat
With the increasingly growing technological advances and their consequences for societies, the public has the right to be engaged in the outcomes of science. On the one hand, the public are interested in acquiring information about the results of scientists' experiments. On the other hand, the scientists are willing to share their feelings about…
This article focuses on the potential of free tools, particularly inquiry tools for influencing participation in twenty-first-century learning in science, as well as influencing the development of communities around tools. Two examples are presented: one on the development of an open source tool for structured inquiry learning that can bridge the…
Alan E. Watson; H. Ken Cordell; Robert Manning; Steven Martin
The historic Wilderness Act celebrated its 50th anniversary in 2014, and wilderness social science shared a similar legacy. As paradoxical as it might seem, humans are an important part of wilderness, helping to define the very concept and representing an important component of wilderness use and management. Much of the past five decades of wilderness-related...
In reaction to misuses and misinterpretations of p-values and confidence intervals, a social science journal editor banned p-values from its pages. This study aimed to show that education could address misuse and abuse. This study examines inference-related learning outcomes for social science students in an introductory course supplemented with…
The US Environmental Protection Agency (EPA) is revising its strategy to obtain the information needed to answer questions pertinent to water-quality management efficiently and rigorously at national scales. One tool of this revised strategy is use of statistically based surveys ...
van Ommen, Gert-Jan B; Törnwall, Outi; Bréchot, Christian; Dagher, Georges; Galli, Joakim; Hveem, Kristian; Landegren, Ulf; Luchinat, Claudio; Metspalu, Andres; Nilsson, Cecilia; Solesvik, Ove V; Perola, Markus; Litton, Jan-Eric; Zatloukal, Kurt
Biological resources (cells, tissues, bodily fluids or biomolecules) are considered essential raw material for the advancement of health-related biotechnology, for research and development in life sciences, and for ultimately improving human health. Stored in local biobanks, access to the human biological samples and related medical data for transnational research is often limited, in particular for the international life science industry. The recently established pan-European Biobanking and BioMolecular resources Research Infrastructure-European Research Infrastructure Consortium (BBMRI-ERIC) aims to improve accessibility and interoperability between academic and industrial parties to benefit personalized medicine, disease prevention to promote development of new diagnostics, devices and medicines. BBMRI-ERIC is developing the concept of Expert Centre as public-private partnerships in the precompetitive, not-for-profit field to provide a new structure to perform research projects that would face difficulties under currently established models of academic-industry collaboration. By definition, Expert Centres are key intermediaries between public and private sectors performing the analysis of biological samples under internationally standardized conditions. This paper presents the rationale behind the Expert Centres and illustrates the novel concept with model examples.
Ginossar, Tamar; Heckman, Carolyn J; Cragun, Deborah; Quintiliani, Lisa M; Proctor, Enola K; Chambers, David A; Skolarus, Ted; Brownson, Ross C
Physicians are charged with implementing evidence-based medicine, yet few are trained in the science of Dissemination and Implementation (D&I). In view of the potential of evidence-based training in D&I to help close the gap between research and practice, the goal of this review is to examine the importance of D&I training in medical education, describe challenges to implementing such training, and provide strategies and resources for building D&I capacity. We conducted (1) a systematic review to identify US-based D&I training efforts and (2) a critical review of additional literature to inform our evaluation of the challenges and opportunities of integrating D&I training in medical education. Out of 269 unique articles reviewed, 11 described US-based D&I training. Although vibrant and diverse training opportunities exist, their capacity is limited, and they are not designed to meet physicians' needs. Synthesis of relevant literature using a critical review approach identified challenges inherent to changing medical education, as well as challenges related to D&I science. Finally, selected strategies and resources are available for facilitating incorporation of D&I training into medical education and overcoming existing challenges. Integrating D&I training in the medical education curriculum, and particularly in residency and fellowship training, holds promise for bridging the chasm between scientific discoveries and improved patient care and outcomes. However, unique challenges should be addressed, including the need for greater evidence.
Nelson, Janice S.
The Earth Resources Observation and Science (EROS) Center is a U.S. Geological Survey (USGS) facility focused on providing science and imagery to better understand our Earth. The work of the Center is shaped by the earth sciences, the missions of our stakeholders, and implemented through strong program and project management, and application of state-of-the-art information technologies. Fundamentally, EROS contributes to the understanding of a changing Earth through 'research to operations' activities that include developing, implementing, and operating remote-sensing-based terrestrial monitoring capabilities needed to address interdisciplinary science and applications objectives at all levels-both nationally and internationally. The Center's programs and projects continually strive to meet, and where possible exceed, the changing needs of the USGS, the Department of the Interior, our Nation, and international constituents. The Center's multidisciplinary staff uses their unique expertise in remote sensing science and technologies to conduct basic and applied research, data acquisition, systems engineering, information access and management, and archive preservation to address the Nation's most critical needs. Of particular note is the role of EROS as the primary provider of Landsat data, the longest comprehensive global land Earth observation record ever collected. This report is intended to provide an overview of the scientific and engineering achievements and illustrate the range and scope of the activities and accomplishments at EROS throughout fiscal year (FY) 2010. Additional information concerning the scientific, engineering, and operational achievements can be obtained from the scientific papers and other documents published by EROS staff or by visiting our web site at http://eros.usgs.gov. We welcome comments and follow-up questions on any aspect of this Annual Report and invite any of our customers or partners to contact us at their convenience. To
National Science Resources Center Project to Improve Science Teaching in Elementary Schools with Special Emphasis on Department of Defense Dependents Schools and Other Schools Serving Children of Military Personnel
2555. NCTM to Publish Resource Directory ANNOUNCEMENTS The National Council of Teachers of Mathematics ’ ( NCTM ) Committee for a Coin- Coalition Launches...science and mathematics education: • DOD Apprenticeship Programs * DOD Teacher Internship Programs * DOD Partnership Programs * DOD Dependents Schools...elementary school teachers . The units also link science with other curriculum areas, including mathematics , language arts, social studies, and art. In
Hassad, Rossi A.
There is widespread emphasis on reform in the teaching of introductory statistics at the college level. Underpinning this reform is a consensus among educators and practitioners that traditional curricular materials and pedagogical strategies have not been effective in promoting statistical literacy, a competency that is becoming increasingly…
To assess research methods and analysis of statistical techniques employed by educational researchers, this study surveyed unpublished doctoral dissertation from 2003 to 2007. Frequently used research methods consisted of experimental research; a survey; a correlational study; and a case study. Descriptive statistics, t-test, ANOVA, factor…
Donnelly, Suzanne M.
This study features a comparative descriptive analysis of the physics content and representations surrounding the first law of thermodynamics as presented in four widely used introductory college physics textbooks representing each of four physics textbook categories (calculus-based, algebra/trigonometry-based, conceptual, and technical/applied). Introducing and employing a newly developed theoretical framework, multimodal generative learning theory (MGLT), an analysis of the multimodal characteristics of textbook and multimedia representations of physics principles was conducted. The modal affordances of textbook representations were identified, characterized, and compared across the four physics textbook categories in the context of their support of problem-solving. Keywords: college science, science textbooks, multimodal learning theory, thermodynamics, representations
On November 15, 2008, the CNA launched a new Nuclear Science Technology High School Curriculum Website. Located at www.cna.ca the site was developed over a decade, first with funding from AECL and finally by the CNA, as a tool to explain concepts and issues related to energy and in particular nuclear energy targeting the public, teachers and students in grades 9-12. It draws upon the expertise of leading nuclear scientists and science educators. Full lesson plans for the teacher, videos for discussion, animations, games, electronic publications, laboratory exercises and quick question and answer sheets will give the student greater knowledge, skills and attitudes necessary to solve problems and to critically examine issues in making decisions. Eight modules focus on key areas: Canada's Nuclear History, Atomic Theory, What is Radiation?, Biological Effects of Radiation, World Energy Sources, Nuclear Technology at Work, Safety (includes Waste Disposal) in the Nuclear Industry and Careers. (author)
Zuzovsky, Ruth; Levinger-Dressler, Miri; Yakir, Ruth; Wubbles, Theo; Eijkelhof, Harrie
In 1994 an educational program aimed at changing prevailing attitudes to favor peace and coexistence in the region was launched in the Israeli educational system. The program focused on the crucial conflict over water resources between Israel and its neighboring Arab countries – an issue at the heart of the Israeli-Arab conflict. The rationale of the educational program was based on cognitive approaches to attitudinal change and conflict termination, assumption being that pr...
Murfin, Brian; Go, Vanessa
The purpose of this study was to evaluate The Student Genome Project, an experiment in web-based genetics education. Over a two-year period, a team from New York University worked with a biology teacher and 33 high school students (N=33), and a middle school science teacher and a class of students (N=21) to develop a World Wide Web site intended…
For a period of ten weeks I got the opportunity to assist in doing research for the OCO-2 project in the Science Data Operations System Team. This research involved writing a prototype interface that would work as a model for the system implemented for the project's operations. This would only be the case if when the system is tested it worked properly and up to the team's standards. This paper gives the details of the research done and its results.
Osinski, G. R.; Gilbert, A.; Brown, P.
The Centre for Planetary Science and Exploration (CPSX - http://cpsx.uwo.ca) at The University of Western Ontario has initiated a comprehensive outreach and education program focusing on planetary science and exploration. The goal is to use planetary science to raise general interest in science. Currently, the activities being preformed by the centre can be divided into three broad categories: (1) educational/curriculum based activities, (2) outreach/community based activities, and (3) training. The first is where the push for an increase in interest for science is really critical and is the focus here. In partnership with the Thames Valley District School Board and by using inquiry-based teaching methods, students study various topics under the guidance of a CPSX graduate students and faculty. The educational activities that have taken place are all based on the Ontario curriculum and have been developed with the support of the local school board and teachers. An annual teacher workshop provides a hands-on opportunity for the teachers to interact with CPSX members. The first activity to be developed was on meteorite impact craters. The CPSX web page also contains the lesson plans and activity work sheets for this Cratering Activity, as well as additional activities. As the Cratering Activity is available online, teachers can perform the experiment independently or request the support from a CPSX outreach member. The activity is designed with the following structure: (1) The teacher gives a background presentation (provided by CPSX) which describes crater processes throughout our solar system (specifically comparing Earth to other planets), the consequences of impacts on Earth, the origins of impactors (small bodies) in our solar system, and the mechanical process of an impact. (2) The teacher demonstrates an impact event. Students are to make observations in their lab handout, and sketch what they see. (3) Students (either individually or as a group, based on
Micheli, L.; Flint, L. E.; Veloz, S.; Heller, N. E.
To create a framework for adapting to climate change, decision makers operating at the urban-wildland interface need to define climate vulnerabilities in the context of site-specific opportunities and constraints relative to water supply, land use suitability, wildfire risks, ecosystem services and quality of life. Pepperwood's TBC3.org is crafting customized climate vulnerability assessments with selected water and natural resource agencies of California's Sonoma, Marin, Napa and Mendocino counties under the auspices of Climate Ready North Bay, a public-private partnership funded by the California Coastal Conservancy. Working directly with managers from the very start of the process to define resource-specific information needs, we are developing high-resolution, spatially-explicit data products to help local governments and agency staff implement informed and effective climate adaptation strategies. Key preliminary findings for the region using the USGS' Basin Characterization Model (at a 270 m spatial resolution) include a unidirectional trend, independent of greater or lesser precipitation, towards increasing climatic water deficits across model scenarios. Therefore a key message is that managers will be facing an increasingly arid environment. Companion models translate the impacts of shifting climate and hydrology on vegetation composition and fire risks. The combination of drought stress on water supplies and native vegetation with an approximate doubling of fire risks may demand new approaches to watershed planning. Working with agencies we are exploring how to build capacity for protection and enhancement of key watershed functions with a focus on groundwater recharge, facilitating greater drought tolerance in forest and rangeland systems, and considering more aggressive approaches to management of fuel loads. Lessons learned about effective engagement include the need for extended in-depth dialog, translation of key climate adaptation questions into
Rose, K.; Rowan, C.; Rager, D.; Dehlin, M.; Baker, D. V.; McIntyre, D.
Multi-organizational research teams working jointly on projects often encounter problems with discovery, access to relevant existing resources, and data sharing due to large file sizes, inappropriate file formats, or other inefficient options that make collaboration difficult. The Energy Data eXchange (EDX) from Department of Energy's (DOE) National Energy Technology Laboratory (NETL) is an evolving online research environment designed to overcome these challenges in support of DOE's fossil energy goals while offering improved access to data driven products of fossil energy R&D such as datasets, tools, and web applications. In 2011, development of NETL's Energy Data eXchange (EDX) was initiated and offers i) a means for better preserving of NETL's research and development products for future access and re-use, ii) efficient, discoverable access to authoritative, relevant, external resources, and iii) an improved approach and tools to support secure, private collaboration and coordination between multi-organizational teams to meet DOE mission and goals. EDX presently supports fossil energy and SubTER Crosscut research activities, with an ever-growing user base. EDX is built on a heavily customized instance of the open source platform, Comprehensive Knowledge Archive Network (CKAN). EDX connects users to externally relevant data and tools through connecting to external data repositories built on different platforms and other CKAN platforms (e.g. Data.gov). EDX does not download and repost data or tools that already have an online presence. This leads to redundancy and even error. If a relevant resource already has an online instance, is hosted by another online entity, EDX will point users to that external host either using web services, inventorying URLs and other methods. EDX offers users the ability to leverage private-secure capabilities custom built into the system. The team is presently working on version 3 of EDX which will incorporate big data analytical
Naimiy, Hamid M. K. Al
The Sharjah Center for Astronomy and Space Sciences (SCASS) was launched this year 2015 at the University of Sharjah in the UAE. The center will serve to enrich research in the fields of astronomy and space sciences, promote these fields at all educational levels, and encourage community involvement in these sciences. SCASS consists of:The Planetarium: Contains a semi-circle display screen (18 meters in diameter) installed at an angle of 10° which displays high-definition images using an advanced digital display system consisting of seven (7) high-performance light-display channels. The Planetarium Theatre offers a 200-seat capacity with seats placed at highly calculated angles. The Planetarium also contains an enormous star display (Star Ball - 10 million stars) located in the heart of the celestial dome theatre.The Sharjah Astronomy Observatory: A small optical observatory consisting of a reflector telescope 45 centimeters in diameter to observe the galaxies, stars and planets. Connected to it is a refractor telescope of 20 centimeters in diameter to observe the sun and moon with highly developed astronomical devices, including a digital camera (CCD) and a high-resolution Echelle Spectrograph with auto-giving and remote calibration ports.Astronomy, space and physics educational displays for various age groups include:An advanced space display that allows for viewing the universe during four (4) different time periods as seen by:1) The naked eye; 2) Galileo; 3) Spectrographic technology; and 4) The space technology of today.A space technology display that includes space discoveries since the launching of the first satellite in 1940s until now.The Design Concept for the Center (450,000 sq. meters) was originated by HH Sheikh Sultan bin Mohammed Al Qasimi, Ruler of Sharjah, and depicts the dome as representing the sun in the middle of the center surrounded by planetary bodies in orbit to form the solar system as seen in the sky.
Shaffer, Kimberly; Kula, Stephanie P.
Ohio’s water resources support a complex web of human activities and nature—clean and abundant water is needed for drinking, recreation, farming, and industry, as well as for fish and wildlife needs. Although rainfall in normal years can support these activities and needs, occasional floods and droughts can disrupt streamflow, groundwater, water availability, water quality, recreation, and aquatic habitats. Ohio is bordered by the Ohio River and Lake Erie; it has over 44,000 miles of streams and more than 60,000 lakes and ponds. Nearly all the rural population obtain drinking water from groundwater sources.
Annual reports of U.S. cancer statistics including new cases, deaths, trends, survival, prevalence, lifetime risk, and progress toward Healthy People targets, plus statistical summaries for a number of common cancer types.
Mitchell, Sherese A.
This researcher investigated the long- and short-term retention of information using traditional instruction versus previously tested tactual resources versus innovative tactual resources on the achievement and attitudes of second-grade students in science. The processing of new and difficult knowledge has challenged many young children who tend to be kinesthetic or tactual learners. In compliance with the National Science Education Standards, students should be actively engaged in their own learning. Therefore, to boost student achievement in science, the use of tactual materials was implemented. The sample included 67 second-grade students drawn from three heterogeneously grouped classes in a low socio-economic neighborhood. It consisted of 30 females and 37 males of which 97 percent were African American, 2 percent were Hispanic, and 1 percent Other. Students were unaware of their diagnosed learning-style preference(s) during the instruction and assessment phases of the study. Therefore, students' knowledge of their learning-style preferences could not have had any impact on their achievement or attitudes. A counterbalanced research design was employed. During the first session, Group 1 was taught with previously tested tactual resources (Electroboards, Flip Chutes, Fact Wheels, and Fact Fans), and Group 3 was taught traditionally. During the second session of instruction, Group 1 received instruction with innovative tactual resources, Group 2 received traditional instruction, Group 3 received instruction with previously tested tactual resources. During the final session of instruction, Group 1 received traditional instruction, Group 2 received instruction with previously tested tactual resources, and Group 3 received instruction with innovative tactual resources. The results indicated that the use of tactual materials, regardless of whether they were previously tested or innovative, produced higher achievement gains and more positive attitudes than traditional
Bolman, J. R.
We are living in a definite time of change. Distinct changes are being experienced in our most sacred and natural environments. This is especially true on Native lands. Native people have lived for millennia in distinct and unique ways. The knowledge of balancing the needs of people with the needs of our natural environments is paramount in all tribal societies. This inherent knowledge has become the foundation on which to build a "blended" contemporary understanding of western science. The Dakota's and Northern California have recognized the critical need in understanding successful tribal strategies to engage educational systems (K-12 and higher education), to bring to prominence the professional development opportunities forged through working with tribal peoples and ensure the growth of Native people in STEM (Science, Technology, Engineering and Mathematics) professions. The presentation will highlight: 1) current philosophies on building a STEM Native workforce; 2) successful educational programs/activities in PreK-Ph.D. systems; 3) current Native professionals, their research and tribal applicability; and 4) forwarding thinking for creating sustainable environmental and social infrastructures for all people. South Dakota School of Mines and Technology (SDSM&T) and Humboldt State University (HSU) have been recognized nationally for their partnerships with Native communities. SDSM&T has set record numbers for graduating Native students in science and engineering. SDSM&T had 27 graduates in five years (2000-2005) and hosted more than 1000+ Native students for programs and activities. Humboldt State University is the only university in the CSU system with a program focusing specifically on Natives in natural resources, science and engineering as well as a Native American Studies degree. Both universities have designed programs to meet current needs and address challenging issues in Earth, Wind, Fire and Water. The programs are funded through NASA, NSF, NIH and
Information Statistics in Schools Educate your students about the value and everyday use of statistics. The Statistics in Schools program provides resources for teaching and learning with real life data. Explore the site for standards-aligned, classroom-ready activities. Statistics in Schools Math Activities History