Using Student-Developed, Inquiry-Based Experiments to Investigate the Contributions of Ca and Mg to Water Hardness

ERIC Educational Resources Information Center

Yang, Shui-Ping; Li, Chung-Chia

2009-01-01

This study provided a challenging opportunity for general chemistry students to mimic the scientific research process by solving a water-quality problem concerning individual calcium and magnesium concentrations. We found that general chemistry students were able to develop their own experiments to solve real-world, multivariable problems through…

Problem Solving and Engineering Design, Introducing Bachelor Students to Engineering Practice at K. U. Leuven

ERIC Educational Resources Information Center

Heylen, Christel; Smet, Marc; Buelens, Hermans; Sloten, Jos Vander

2007-01-01

A present-day engineer has a large scientific knowledge; he is a team-player, eloquent communicator and life-long learner. At the Katholieke Universiteit Leuven, the course "Problem Solving and Engineering Design" introduces engineering students from the first semester onwards into real engineering practice and teamwork. Working in small…

Study on Status, Problems and Countermeasures of Developing Popular Science Tourism of Geoparks in Yunnan, China

NASA Astrophysics Data System (ADS)

Qi, Wufu; Cheng, Xianfeng; Huang, Qianrui

2017-12-01

Tourism development of Yunnan geoparks keeps in the stage of “sightseeing tour” and the real “popular science tourism” keeps in the explorative stage, thus it has a series of problems, such as uncorrelation between tourist attractions and geology, uncorrelation between geologic observation spot and tourism, and insufficient scientificity of commentary, etc. By aiming at these problems, corresponding countermeasures and suggestion were proposed.

Conducting Educational Design Research

ERIC Educational Resources Information Center

McKenney, Susan; Reeves, Thomas

2012-01-01

Educational design research blends scientific investigation with systematic development and implementation of solutions to educational problems. Empirical investigation is conducted in real learning settings--not laboratories--to craft usable and effective solutions. At the same time, the research is carefully structured to produce theoretical…

Modeling Water Filtration

ERIC Educational Resources Information Center

Parks, Melissa

2014-01-01

Model-eliciting activities (MEAs) are not new to those in engineering or mathematics, but they were new to Melissa Parks. Model-eliciting activities are simulated real-world problems that integrate engineering, mathematical, and scientific thinking as students find solutions for specific scenarios. During this process, students generate solutions…

USA: Economics, Politics, Ideology, Number 7, July 1977.

DTIC Science & Technology

1977-08-01

viewpoint of one of its domestic political goals. Americans’ attention is artificially distracted from both the real socioeconomic problems and the real...34third basket" cannot be artificially singled out of the broad complex of questions considered in the final act. The questions of war and peace which...scientific advisory staff was stimulated even more by the successful launching of the first Soviet artificial earth satellite, which evoked mass-scale

"Egg-Streme" Egg Crashes

ERIC Educational Resources Information Center

Ward, Lauren; Lyden, Sarah; Fitzallen, Noleine

2016-01-01

Context based learning (CBL) is a powerful tool that utilises areas of student interest framed in meaningful contexts to foster development of new skills and understanding. For middle school students, engineering activities that relate to real-world problems provide suitable CBL contexts for acquiring conceptual scientific and mathematical…

Creating Science Websites

ERIC Educational Resources Information Center

Trimble, Leslie

2017-01-01

Building a website allows students to find and evaluate resources, pose and answer scientific questions, and connect class content to real-world problems and possible solutions. Writing explanations for a particular audience, instead of only the teacher, requires students to state concepts clearly, leading to increased comprehension. Finding the…

A real-time algorithm for the harmonic estimation and frequency tracking of dominant components in fusion plasma magnetic diagnostics

DOE Office of Scientific and Technical Information (OSTI.GOV)

Alves, D.; Coelho, R.; Collaboration: JET-EFDA Contributors

2013-08-15

The real-time tracking of instantaneous quantities such as frequency, amplitude, and phase of components immerse in noisy signals has been a common problem in many scientific and engineering fields such as power systems and delivery, telecommunications, and acoustics for the past decades. In magnetically confined fusion research, extracting this sort of information from magnetic signals can be of valuable assistance in, for instance, feedback control of detrimental magnetohydrodynamic modes and disruption avoidance mechanisms by monitoring instability growth or anticipating mode-locking events. This work is focused on nonlinear Kalman filter based methods for tackling this problem. Similar methods have already provenmore » their merits and have been successfully employed in this scientific domain in applications such as amplitude demodulation for the motional Stark effect diagnostic. In the course of this work, three approaches are described, compared, and discussed using magnetic signals from the Joint European Torus tokamak plasma discharges for benchmarking purposes.« less

Behavior analysis: the science of training.

PubMed

Farhoody, Parvene

2012-09-01

Behavior analysis is a data-driven science dedicated to understanding the mechanisms of behavior. Applied behavior analysis is a branch of this scientific field that systematically applies scientific principles to real-world problems in an effort to improve quality of life. The use of the behavioral technology provides a way to teach human and nonhuman animals more effectively and efficiently and offers those using this technology increased success in achieving behavioral goals. Copyright © 2012 Elsevier Inc. All rights reserved.

Genetics problem solving and worldview

NASA Astrophysics Data System (ADS)

Dale, Esther

The research goal was to determine whether worldview relates to traditional and real-world genetics problem solving. Traditionally, scientific literacy emphasized content knowledge alone because it was sufficient to solve traditional problems. The contemporary definition of scientific literacy is, "The knowledge and understanding of scientific concepts and processes required for personal decision-making, participation in civic and cultural affairs and economic productivity" (NRC, 1996). An expanded definition of scientific literacy is needed to solve socioscientific issues (SSI), complex social issues with conceptual, procedural, or technological associations with science. Teaching content knowledge alone assumes that students will find the scientific explanation of a phenomenon to be superior to a non-science explanation. Formal science and everyday ways of thinking about science are two different cultures (Palmer, 1999). Students address this rift with cognitive apartheid, the boxing away of science knowledge from other types of knowledge (Jedege & Aikenhead, 1999). By addressing worldview, cognitive apartheid may decrease and scientific literacy may increase. Introductory biology students at the University of Minnesota during fall semester 2005 completed a written questionnaire-including a genetics content-knowledge test, four genetic dilemmas, the Worldview Assessment Instrument (WAI) and some items about demographics and religiosity. Six students responded to the interview protocol. Based on statistical analysis and interview data, this study concluded the following: (1) Worldview, in the form of metaphysics, relates to solving traditional genetic dilemmas. (2) Worldview, in the form of agency, relates to solving traditional genetics problems. (3) Thus, worldview must be addressed in curriculum, instruction, and assessment.

Cost-efficient scheduling of FAST observations

NASA Astrophysics Data System (ADS)

Luo, Qi; Zhao, Laiping; Yu, Ce; Xiao, Jian; Sun, Jizhou; Zhu, Ming; Zhong, Yi

2018-03-01

A cost-efficient schedule for the Five-hundred-meter Aperture Spherical radio Telescope (FAST) requires to maximize the number of observable proposals and the overall scientific priority, and minimize the overall slew-cost generated by telescope shifting, while taking into account the constraints including the astronomical objects visibility, user-defined observable times, avoiding Radio Frequency Interference (RFI). In this contribution, first we solve the problem of maximizing the number of observable proposals and scientific priority by modeling it as a Minimum Cost Maximum Flow (MCMF) problem. The optimal schedule can be found by any MCMF solution algorithm. Then, for minimizing the slew-cost of the generated schedule, we devise a maximally-matchable edges detection-based method to reduce the problem size, and propose a backtracking algorithm to find the perfect matching with minimum slew-cost. Experiments on a real dataset from NASA/IPAC Extragalactic Database (NED) show that, the proposed scheduler can increase the usage of available times with high scientific priority and reduce the slew-cost significantly in a very short time.

Some Thoughts Regarding Practical Quantum Computing

NASA Astrophysics Data System (ADS)

Ghoshal, Debabrata; Gomez, Richard; Lanzagorta, Marco; Uhlmann, Jeffrey

2006-03-01

Quantum computing has become an important area of research in computer science because of its potential to provide more efficient algorithmic solutions to certain problems than are possible with classical computing. The ability of performing parallel operations over an exponentially large computational space has proved to be the main advantage of the quantum computing model. In this regard, we are particularly interested in the potential applications of quantum computers to enhance real software systems of interest to the defense, industrial, scientific and financial communities. However, while much has been written in popular and scientific literature about the benefits of the quantum computational model, several of the problems associated to the practical implementation of real-life complex software systems in quantum computers are often ignored. In this presentation we will argue that practical quantum computation is not as straightforward as commonly advertised, even if the technological problems associated to the manufacturing and engineering of large-scale quantum registers were solved overnight. We will discuss some of the frequently overlooked difficulties that plague quantum computing in the areas of memories, I/O, addressing schemes, compilers, oracles, approximate information copying, logical debugging, error correction and fault-tolerant computing protocols.

The Activity Summary Board

ERIC Educational Resources Information Center

Touitou, Israel; Barry, Stephen; Bielik, Tom; Schneider, Barbara; Krajcik, Joseph

2018-01-01

Project-based learning (PBL) is an instructional approach to science teaching that supports the "Next Generation Science Standards" (Krajcik 2015; NGSS Lead States 2013). In a PBL lesson, students design and solve real-world problems or explain scientific phenomena. Students using a PBL model learn and retain more than those not using…

Teaching Biology for a Sustainable Future

ERIC Educational Resources Information Center

Musante, Susan

2011-01-01

Students at Calvin College in Grand Rapids, Michigan, can now take an innovative biology course in which an integrated, interdisciplinary, problem-based approach is used--one that the scientific community itself is promoting. The first course in a four-semester sequence, Biology 123--The Living World: Concepts and Connections--explores real-world…

Moving Behavioral Science from Efficacy to Effectiveness

ERIC Educational Resources Information Center

Hallfors, Denise; Cho, Hyunsan

2007-01-01

The gap between scientific knowledge and real world practice continues to be a major conundrum for the behavioral sciences. This paper briefly reviews the development of behavioral research and describes problems that have arisen in meeting the goal of improving behavioral interventions through science. Based on published literature and personal…

Science Classroom Inquiry (SCI) Simulations: A Novel Method to Scaffold Science Learning

PubMed Central

Peffer, Melanie E.; Beckler, Matthew L.; Schunn, Christian; Renken, Maggie; Revak, Amanda

2015-01-01

Science education is progressively more focused on employing inquiry-based learning methods in the classroom and increasing scientific literacy among students. However, due to time and resource constraints, many classroom science activities and laboratory experiments focus on simple inquiry, with a step-by-step approach to reach predetermined outcomes. The science classroom inquiry (SCI) simulations were designed to give students real life, authentic science experiences within the confines of a typical classroom. The SCI simulations allow students to engage with a science problem in a meaningful, inquiry-based manner. Three discrete SCI simulations were created as website applications for use with middle school and high school students. For each simulation, students were tasked with solving a scientific problem through investigation and hypothesis testing. After completion of the simulation, 67% of students reported a change in how they perceived authentic science practices, specifically related to the complex and dynamic nature of scientific research and how scientists approach problems. Moreover, 80% of the students who did not report a change in how they viewed the practice of science indicated that the simulation confirmed or strengthened their prior understanding. Additionally, we found a statistically significant positive correlation between students’ self-reported changes in understanding of authentic science practices and the degree to which each simulation benefitted learning. Since SCI simulations were effective in promoting both student learning and student understanding of authentic science practices with both middle and high school students, we propose that SCI simulations are a valuable and versatile technology that can be used to educate and inspire a wide range of science students on the real-world complexities inherent in scientific study. PMID:25786245

Science classroom inquiry (SCI) simulations: a novel method to scaffold science learning.

PubMed

Peffer, Melanie E; Beckler, Matthew L; Schunn, Christian; Renken, Maggie; Revak, Amanda

2015-01-01

Science education is progressively more focused on employing inquiry-based learning methods in the classroom and increasing scientific literacy among students. However, due to time and resource constraints, many classroom science activities and laboratory experiments focus on simple inquiry, with a step-by-step approach to reach predetermined outcomes. The science classroom inquiry (SCI) simulations were designed to give students real life, authentic science experiences within the confines of a typical classroom. The SCI simulations allow students to engage with a science problem in a meaningful, inquiry-based manner. Three discrete SCI simulations were created as website applications for use with middle school and high school students. For each simulation, students were tasked with solving a scientific problem through investigation and hypothesis testing. After completion of the simulation, 67% of students reported a change in how they perceived authentic science practices, specifically related to the complex and dynamic nature of scientific research and how scientists approach problems. Moreover, 80% of the students who did not report a change in how they viewed the practice of science indicated that the simulation confirmed or strengthened their prior understanding. Additionally, we found a statistically significant positive correlation between students' self-reported changes in understanding of authentic science practices and the degree to which each simulation benefitted learning. Since SCI simulations were effective in promoting both student learning and student understanding of authentic science practices with both middle and high school students, we propose that SCI simulations are a valuable and versatile technology that can be used to educate and inspire a wide range of science students on the real-world complexities inherent in scientific study.

Scientific data reduction and analysis plan: PI services

NASA Technical Reports Server (NTRS)

Feldman, P. D.; Fastie, W. G.

1971-01-01

This plan comprises two parts. The first concerns the real-time data display to be provided by MSC during the mission. The prime goal is to assess the operation of the UVS and to identify any problem areas that could be corrected during the mission. It is desirable to identify any possible observations of unusual scientific interest in order to repeat these observations at a later point in the mission, or to modify the time line with respect to the operating modes of the UVS. The second part of the plan discusses the more extensive postflight analysis of the data in terms of the scientific objectives of this experiment.

Performance Analysis of a Hardware Implemented Complex Signal Kurtosis Radio-Frequency Interference Detector

NASA Technical Reports Server (NTRS)

Schoenwald, Adam J.; Bradley, Damon C.; Mohammed, Priscilla N.; Piepmeier, Jeffrey R.; Wong, Mark

2016-01-01

In the field of microwave radiometry, Radio Frequency Interference (RFI) consistently degrades the value of scientific results. Through the use of digital receivers and signal processing, the effects of RFI on scientific measurements can be reduced depending on certain circumstances. As technology allows us to implement wider band digital receivers for radiometry, the problem of RFI mitigation changes. Our work focuses on finding a detector that outperforms real kurtosis in wide band scenarios. The algorithm implemented is a complex signal kurtosis detector which was modeled and simulated. The performance of both complex and real signal kurtosis is evaluated for continuous wave, pulsed continuous wave, and wide band quadrature phase shift keying (QPSK) modulations. The use of complex signal kurtosis increased the detectability of interference.

The St. Catherine`s sea turtle conservation program: Modeling effective science education through conservation and research partnerships

DOE Office of Scientific and Technical Information (OSTI.GOV)

March, N.B.; Bishop, G.

1994-12-31

Georgia school teachers served eight to ten day internships as research colleagues on St. Catherine`s island, Georgia. Interns monitored daily nesting activity, evaluated possible nests, validated egg chambers, screened the nests, and monitored each nest daily and assessed hatching success by excavation upon emergence of hatchlings. The real-world, hands-on holistic field experience immersed school teachers in the problems of executing a natural history conservation project integrating scientific content and methodology, mathematical analysis, and computer documentation. Outcomes included increased scientific inquiry, reduced science anxiety, heightened self-confidence, and enhanced credibility with students and colleagues. This educational model is applicable to many areasmore » and problems.« less

Riding Alone on the Elevator: A Class Experiment in Interdisciplinary Education

ERIC Educational Resources Information Center

Frank, Anna M.; Froese, Rebecca; Hof, Barbara C.; Scheffold, Maike I. E.; Schreyer, Felix; Zeller, Mathias; Rödder, Simone

2017-01-01

The ability to conduct interdisciplinary research is crucial to address complex real-world problems that require the collaboration of different scientific fields, with global warming being a case in point. To produce integrated climate-related knowledge, climate researchers should be trained early on to work across boundaries and gain an…

Application of Andrew's Plots to Visualization of Multidimensional Data

ERIC Educational Resources Information Center

Grinshpun, Vadim

2016-01-01

Importance: The article raises a point of visual representation of big data, recently considered to be demanded for many scientific and real-life applications, and analyzes particulars for visualization of multi-dimensional data, giving examples of the visual analytics-related problems. Objectives: The purpose of this paper is to study application…

Virtual Quests As Learning Environments for K-12 Students.

ERIC Educational Resources Information Center

Spudic, Linda

Perhaps some of the most engaging, unique, Web-based activities are virtual quests that take student participants along on real expeditions, following a team in the field as they explore new territory or do research on authentic scientific problems. Virtual quests, such as the MayaQuest expedition produced by Classroom Connect, are excellent…

Enhancing Eighth Grade Student Presentations of Scientific Research with Technology.

ERIC Educational Resources Information Center

Shreiner, Berdella H.

This practicum was designed to improve the research and communication skills of eighth-grade students with the integration of technology, mathematics, and science when doing real-experience problem solving. Four units were developed that related the use of technology to skills that are also used in gathering, organizing, and manipulating research…

REVIEWS OF TOPICAL PROBLEMS: Global phase-stable radiointerferometric systems

NASA Astrophysics Data System (ADS)

Dravskikh, A. F.; Korol'kov, Dimitrii V.; Pariĭskiĭ, Yu N.; Stotskiĭ, A. A.; Finkel'steĭn, A. M.; Fridman, P. A.

1981-12-01

We discuss from a unitary standpoint the possibility of building a phase-stable interferometric system with very long baselines that operate around the clock with real-time data processing. The various problems involved in the realization of this idea are discussed: the methods of suppression of instrumental and tropospheric phase fluctuations, the methods for constructing two-dimensional images and determining the coordinates of radio sources with high angular resolution, and the problem of the optimal structure of the interferometric system. We review in detail the scientific problems from the various branches of natural science (astrophysics, cosmology, geophysics, geodynamics, astrometry, etc.) whose solution requires superhigh angular resolution.

From Trace Evidence to Bioinformatics: Putting Bryophytes into Molecular Biology Education

ERIC Educational Resources Information Center

Fuselier, Linda; Bougary, Azhar; Malott, Michelle

2011-01-01

Students benefit most from their science education when they participate fully in the process of science in the context of real-world problems. We describe a student-directed open-inquiry lab experience that has no predetermined outcomes and requires students to engage in all components of scientific inquiry from posing a question through…

Discrete Inverse and State Estimation Problems

NASA Astrophysics Data System (ADS)

Wunsch, Carl

2006-06-01

The problems of making inferences about the natural world from noisy observations and imperfect theories occur in almost all scientific disciplines. This book addresses these problems using examples taken from geophysical fluid dynamics. It focuses on discrete formulations, both static and time-varying, known variously as inverse, state estimation or data assimilation problems. Starting with fundamental algebraic and statistical ideas, the book guides the reader through a range of inference tools including the singular value decomposition, Gauss-Markov and minimum variance estimates, Kalman filters and related smoothers, and adjoint (Lagrange multiplier) methods. The final chapters discuss a variety of practical applications to geophysical flow problems. Discrete Inverse and State Estimation Problems is an ideal introduction to the topic for graduate students and researchers in oceanography, meteorology, climate dynamics, and geophysical fluid dynamics. It is also accessible to a wider scientific audience; the only prerequisite is an understanding of linear algebra. Provides a comprehensive introduction to discrete methods of inference from incomplete information Based upon 25 years of practical experience using real data and models Develops sequential and whole-domain analysis methods from simple least-squares Contains many examples and problems, and web-based support through MIT opencourseware

Case Method Teaching as Science and Art: A Metaphoric Approach and Curricular Application

ERIC Educational Resources Information Center

Greenhalgh, Anne M.

2007-01-01

The following article takes a metaphoric approach to case method teaching to shed light on one of our most important practices. The article hinges on the dual comparison of case method as science and as art. The dominant, scientific view of cases is that they are neutral descriptions of real-life business problems, subject to rigorous analysis.…

How to Teach High-School Students "How Science Really Works?"

NASA Astrophysics Data System (ADS)

Losiak, Anna; Students, High-School; Winiarska, Anna; Parys-Wasylkiewicz, Magdalena

2016-04-01

One of the largest problems in Poland (as well as in the large part of the developed world) is that people do not understand how science works. Based on what they learned at school, they think that science is an aggregation of facts that you need to learn by heart. Based on media coverage of the science topics, they think it is a collection of curiosities about the two-headed-snakes. Based on the way in which science is shown in movies and TV series, they envision science as a magic performed in a white coat with usage of colorful fluids and magic spells such as "transformative hermeneutics of quantum gravity". As a result, our societies include a large number of people who "do not believe" in evolution, think that vaccinations are causing autism and that anthropogenic global warming is a myth. This is not very surprising, given that most people never had a chance to perform a real scientific experiment. Most of people, if they are lucky, are able to see some science demonstrations in the classrooms. They are of course very useful, but it is quite clear for everyone that (if everything goes well) the demonstration can end up in one, pre-defined way. The "real" scientific experiment, as a part of the scientific process, is when the outcome is unknown until the end of the entire process. In order to teach high-school students "How Science Really Works" we have developed a project lasting one year (grant from Foundation for Polish Science 26/UD/SKILLS/2015): 1) At first students learned about scientific method, science history and performed a simple scientific experiment. 2) Later, students developed an experiment that was answering a real, unanswered scientific problem (the problem was given by the Leading Scientist). The aim of the project was to determine influence of albedo and emissivity of rock particles laying on a surface of a glacier on the rate of cryoconite holes formation. The results of this experiment can be used to better determine the rate of melting terrestrial glaciers and Martian North Polar Residual Cap. 3) Students were responsible for physically preparing scientific equipment (within a given budget). 4) Students prepared detailed procedures which were used during the experiment. The experiment was performed by the Austrian Space Forum analog astronauts during the Mars Analog Mission AMADEE-15 between 2nd and 14th of August 2015 at the Kaunertal Glacier in Austria. 5) During and after the mission students analyzed data collected during the experiment. 6) Students presented their findings during the regional science fair (Dolnoslaski Festiwal Nauki). Despite the fact the quality of the data produced during the experiment was not satisfactory, the project was a success in terms of explaining students "How Science Really Works" (e.g., how much depends on the properly designed and executed procedures).

Structural health monitoring of cylindrical bodies under impulsive hydrodynamic loading by distributed FBG strain measurements

NASA Astrophysics Data System (ADS)

Fanelli, Pierluigi; Biscarini, Chiara; Jannelli, Elio; Ubertini, Filippo; Ubertini, Stefano

2017-02-01

Various mechanical, ocean, aerospace and civil engineering problems involve solid bodies impacting the water surface and often result in complex coupled dynamics, characterized by impulsive loading conditions, high amplitude vibrations and large local deformations. Monitoring in such problems for purposes such as remaining fatigue life estimation and real time damage detection is a technical and scientific challenge of primary concern in this context. Open issues include the need for developing distributed sensing systems able to operate at very high acquisition frequencies, to be utilized to study rapidly varying strain fields, with high resolution and very low noise, while scientific challenges mostly relate to the definition of appropriate signal processing and modeling tools enabling the extraction of useful information from distributed sensing signals. Building on previous work by some of the authors, we propose an enhanced method for real time deformed shape reconstruction using distributed FBG strain measurements in curved bodies subjected to impulsive loading and we establish a new framework for applying this method for structural health monitoring purposes, as the main focus of the work. Experiments are carried out on a cylinder impacting the water at various speeds, proving improved performance in displacement reconstruction of the enhanced method compared to its previous version. A numerical study is then carried out considering the same physical problem with different delamination damages affecting the body. The potential for detecting, localizing and quantifying this damage using the reconstruction algorithm is thoroughly investigated. Overall, the results presented in the paper show the potential of distributed FBG strain measurements for real time structural health monitoring of curved bodies under impulsive hydrodynamic loading, defining damage sensitive features in terms of strain or displacement reconstruction errors at selected locations along the structure.

On the interaction of vortices and internal waves in the dead-water problem

NASA Astrophysics Data System (ADS)

Hester, Eric

2017-11-01

Dead water refers to a mysterious increase in resistance experienced by boats in density-stratified waters. The problem has been documented since ancient times, and studied scientifically for over a century. These investigations have revealed the role of internal waves in generating drag. However, analytical approaches neglect important vortex dynamics, which experiments fail to visualise. For the first time, we study the phenomenon using state-of-the-art numerical simulations. We reproduce the effect and show it is greatest in strongly nonlinear regimes poorly modelled by current theory. The most exciting development found a new trailing vortex coupled to the boat. This robust structure is consistent with sailors accounts, but has been missed in previous scientific studies. We expect these results to lead to actionable ways to mitigate dead water in the real world.

Teaching to Learn and Learning to Teach

NASA Astrophysics Data System (ADS)

Bao, Lei

2010-02-01

In STEM education, widely accepted teaching goals include not only the development of solid content knowledge but also the development of general scientific reasoning abilities that will enable students to successfully handle open-ended real-world tasks in future careers and design their own experiments to solve scientific, engineering, and social problems. Traditionally, it is often expected that consistent and rigorous content learning will help develop students' general reasoning abilities; however, our research has shown that the content-rich style of STEM education made little impact on the development of students' scientific reasoning abilities. Therefore, how to train teachers who can help students develop both solid content knowledge and adequate scientific reasoning skills has become an important question for educators and researchers. Research has also suggested that inquiry based science instruction can promote scientific reasoning abilities and that the scientific reasoning skills of instructors can also significantly affect their ability to use inquiry methods effectively in science courses. In this talk, I will compare the features of the teacher preparation programs in China and USA and discuss the possible strength and weakness of the education systems and programs in the two countries. Understanding the different education settings and the outcome can help researchers in both countries to learn from each other's success and to avoid known problems. Examples of current research that may foster such knowledge development among researchers from both countries will be discussed. )

Engineering and Scientific Applications: Using MatLab(Registered Trademark) for Data Processing and Visualization

NASA Technical Reports Server (NTRS)

Sen, Syamal K.; Shaykhian, Gholam Ali

2011-01-01

MatLab(TradeMark)(MATrix LABoratory) is a numerical computation and simulation tool that is used by thousands Scientists and Engineers in many countries. MatLab does purely numerical calculations, which can be used as a glorified calculator or interpreter programming language; its real strength is in matrix manipulations. Computer algebra functionalities are achieved within the MatLab environment using "symbolic" toolbox. This feature is similar to computer algebra programs, provided by Maple or Mathematica to calculate with mathematical equations using symbolic operations. MatLab in its interpreter programming language form (command interface) is similar with well known programming languages such as C/C++, support data structures and cell arrays to define classes in object oriented programming. As such, MatLab is equipped with most of the essential constructs of a higher programming language. MatLab is packaged with an editor and debugging functionality useful to perform analysis of large MatLab programs and find errors. We believe there are many ways to approach real-world problems; prescribed methods to ensure foregoing solutions are incorporated in design and analysis of data processing and visualization can benefit engineers and scientist in gaining wider insight in actual implementation of their perspective experiments. This presentation will focus on data processing and visualizations aspects of engineering and scientific applications. Specifically, it will discuss methods and techniques to perform intermediate-level data processing covering engineering and scientific problems. MatLab programming techniques including reading various data files formats to produce customized publication-quality graphics, importing engineering and/or scientific data, organizing data in tabular format, exporting data to be used by other software programs such as Microsoft Excel, data presentation and visualization will be discussed.

Visualization for Hyper-Heuristics. Front-End Graphical User Interface

DOE Office of Scientific and Technical Information (OSTI.GOV)

Kroenung, Lauren

Modern society is faced with ever more complex problems, many of which can be formulated as generate-and-test optimization problems. General-purpose optimization algorithms are not well suited for real-world scenarios where many instances of the same problem class need to be repeatedly and efficiently solved because they are not targeted to a particular scenario. Hyper-heuristics automate the design of algorithms to create a custom algorithm for a particular scenario. While such automated design has great advantages, it can often be difficult to understand exactly how a design was derived and why it should be trusted. This project aims to address thesemore » issues of usability by creating an easy-to-use graphical user interface (GUI) for hyper-heuristics to support practitioners, as well as scientific visualization of the produced automated designs. My contributions to this project are exhibited in the user-facing portion of the developed system and the detailed scientific visualizations created from back-end data.« less

The Future of Psychology: Connecting Mind to Brain

PubMed Central

Barrett, Lisa Feldman

2009-01-01

Psychological states such as thoughts and feelings are real. Brain states are real. The problem is that the two are not real in the same way, creating the mind–brain correspondence problem. In this article, I present a possible solution to this problem that involves two suggestions. First, complex psychological states such as emotion and cognition an be thought of as constructed events that can be causally reduced to a set of more basic, psychologically primitive ingredients that are more clearly respected by the brain. Second, complex psychological categories like emotion and cognition are the phenomena that require explanation in psychology, and, therefore, they cannot be abandoned by science. Describing the content and structure of these categories is a necessary and valuable scientific activity. Physical concepts are free creations of the human mind, and are not, however it may seem, uniquely determined by the external world.—Einstein & Infeld (1938, p. 33) The cardinal passions of our life, anger, love, fear, hate, hope, and the most comprehensive divisions of our intellectual activity, to remember, expect, think, know, dream (and he goes on to say, feel) are the only facts of a subjective order…—James (1890, p. 195) PMID:19844601

Who Is Doing the Engineering, the Student or the Teacher? The Development and Use of a Rubric to Categorize Level of Design for the Elementary Classroom

ERIC Educational Resources Information Center

Nadelson, Louis S.; Pfiester, Joshua; Callahan, Janet; Pyke, Patricia

2015-01-01

Science, technology, engineering, and mathematics (STEM) professional development for K-5 teachers often includes engineering design as a focus. Because engineering applications provide perspective to both teachers and their students in terms of how mathematic and scientific principles are employed to solve real-world problems (Baine, 2004; Roden,…

Mission Driven Science at Argonne

DOE Office of Scientific and Technical Information (OSTI.GOV)

Thackery, Michael; Wang, Michael; Young, Linda

2012-07-05

Mission driven science at Argonne means applying science and scientific knowledge to a physical and "real world" environment. Examples include testing a theoretical model through the use of formal science or solving a practical problem through the use of natural science. At the laboratory, our materials scientists are leading the way in producing energy solutions today that could help reduce and remove the energy crisis of tomorrow.

End-User Applications of Real-Time Earthquake Information in Europe

NASA Astrophysics Data System (ADS)

Cua, G. B.; Gasparini, P.; Giardini, D.; Zschau, J.; Filangieri, A. R.; Reakt Wp7 Team

2011-12-01

The primary objective of European FP7 project REAKT (Strategies and Tools for Real-Time Earthquake Risk Reduction) is to improve the efficiency of real-time earthquake risk mitigation methods and their capability of protecting structures, infrastructures, and populations. REAKT aims to address the issues of real-time earthquake hazard and response from end-to-end, with efforts directed along the full spectrum of methodology development in earthquake forecasting, earthquake early warning, and real-time vulnerability systems, through optimal decision-making, and engagement and cooperation of scientists and end users for the establishment of best practices for use of real-time information. Twelve strategic test cases/end users throughout Europe have been selected. This diverse group of applications/end users includes civil protection authorities, railway systems, hospitals, schools, industrial complexes, nuclear plants, lifeline systems, national seismic networks, and critical structures. The scale of target applications covers a wide range, from two school complexes in Naples, to individual critical structures, such as the Rion Antirion bridge in Patras, and the Fatih Sultan Mehmet bridge in Istanbul, to large complexes, such as the SINES industrial complex in Portugal and the Thessaloniki port area, to distributed lifeline and transportation networks and nuclear plants. Some end-users are interested in in-depth feasibility studies for use of real-time information and development of rapid response plans, while others intend to install real-time instrumentation and develop customized automated control systems. From the onset, REAKT scientists and end-users will work together on concept development and initial implementation efforts using the data products and decision-making methodologies developed with the goal of improving end-user risk mitigation. The aim of this scientific/end-user partnership is to ensure that scientific efforts are applicable to operational, real-world problems.

The Cornell Kitchen: Housing and Design Research in Postwar America.

PubMed

Penner, Barbara

2018-01-01

The Cornell Kitchen (1950-55) was produced at Cornell University by a multidisciplinary team with expertise in home economics, engineering, architecture, and psychology. It promised to deliver rational design, functional principles, aesthetic appeal, and emotional satisfaction in one prefabricated, easy-to-install package. This article sets out the kitchen's history from its design to its field-testing phase to its impact on postwar kitchens. It argues that the kitchen represents an important effort to approach housing in a more scientific way; scientific methods were deployed to understand both the physical and socio-psychological problems of dwelling. The project also sought to introduce a specific model for leveraging housing research into the real world, partnering with industry to mass produce scientific designs. Social scientific methods were hence used to create not only more livable but also more saleable products in an effort to appeal to manufacturers and consumers alike.

The scientific data acquisition system of the GAMMA-400 space project

NASA Astrophysics Data System (ADS)

Bobkov, S. G.; Serdin, O. V.; Gorbunov, M. S.; Arkhangelskiy, A. I.; Topchiev, N. P.

2016-02-01

The description of scientific data acquisition system (SDAS) designed by SRISA for the GAMMA-400 space project is presented. We consider the problem of different level electronics unification: the set of reliable fault-tolerant integrated circuits fabricated on Silicon-on-Insulator 0.25 mkm CMOS technology and the high-speed interfaces and reliable modules used in the space instruments. The characteristics of reliable fault-tolerant very large scale integration (VLSI) technology designed by SRISA for the developing of computation systems for space applications are considered. The scalable net structure of SDAS based on Serial RapidIO interface including real-time operating system BAGET is described too.

Astronomy in the classroom

NASA Astrophysics Data System (ADS)

Moiteiro, Bárbara; Rodrigues, Berta

2016-04-01

The motivation of young students to science is much higher when the theoretical teaching is accompanied by practice and these are engaged in activities that involve real problems of their society and requiring a scientific basis for its discussion. Several activities such as collaboration on current scientific experiments, direct contact with scientists, participation in science competitions, visits to Science Museums, artistic and craft activities, the use of simulators and virtual laboratories, increase the degree of student satisfaction and motivate them in their learning processes. This poster shows some of Astronomy activities with students of schools Agrupamento de Escolas José Belchior Viegas within the Physics and Chemistry classes.

Energy and scientific communication

NASA Astrophysics Data System (ADS)

De Sanctis, E.

2013-06-01

Energy communication is a paradigmatic case of scientific communication. It is particularly important today, when the world is confronted with a number of immediate, urgent problems. Science communication has become a real duty and a big challenge for scientists. It serves to create and foster a climate of reciprocal knowledge and trust between science and society, and to establish a good level of interest and enthusiasm for research. For an effective communication it is important to establish an open dialogue with the audience, and a close collaboration among scientists and science communicators. An international collaboration in energy communication is appropriate to better support international and interdisciplinary research and projects.

Improving imbalanced scientific text classification using sampling strategies and dictionaries.

PubMed

Borrajo, L; Romero, R; Iglesias, E L; Redondo Marey, C M

2011-09-15

Many real applications have the imbalanced class distribution problem, where one of the classes is represented by a very small number of cases compared to the other classes. One of the systems affected are those related to the recovery and classification of scientific documentation. Sampling strategies such as Oversampling and Subsampling are popular in tackling the problem of class imbalance. In this work, we study their effects on three types of classifiers (Knn, SVM and Naive-Bayes) when they are applied to search on the PubMed scientific database. Another purpose of this paper is to study the use of dictionaries in the classification of biomedical texts. Experiments are conducted with three different dictionaries (BioCreative, NLPBA, and an ad-hoc subset of the UniProt database named Protein) using the mentioned classifiers and sampling strategies. Best results were obtained with NLPBA and Protein dictionaries and the SVM classifier using the Subsampling balancing technique. These results were compared with those obtained by other authors using the TREC Genomics 2005 public corpus. Copyright 2011 The Author(s). Published by Journal of Integrative Bioinformatics.

Science, philosophy, and society: some recent books.

PubMed

Holtzman, E

1981-01-01

The essay discusses a number of issues developed in several recent books on philosophical and ethical problems in the natural sciences, both pure (especially biology) and applied (especially medicine). The scaffolding of the discussion can be outlined as follows: Science is most coherently portrayed as a set of activities through which societies deal with a distinctive, but continually evolving set of interwoven practical, empirical, and conceptual problems. Consequently, approaches which attempt to delineate universal features of "scientific methods" or to depict the sciences as providing an approximation to an "objective" view of reality are much less enlightening than are analyses rooted directly in concrete scientific history and in the actual interplay of science with other social configurations. However, scientists are granted some meaningful autonomy in exercising their "curiosity" and there is a real sense in which scientific ideas and activities do possess momentum of their own. In other words, as is also true for other spheres, such as the arts, it is important not to fall into mechanical viewpoints which treat the movement of science as simply a derivative of forces generated elsewhere.

A nurse staffing analysis at the largest hospital in the Gulf region

NASA Astrophysics Data System (ADS)

Louly, M.; Gharbi, A.; Azaiez, M. N.; Bouras, A.

2014-12-01

The paper considers a staffing problem at a local hospital. The managers consider they are understaffed and try to overwhelm the staffing deficit problem through overtime, rather than hiring additional nurses. However, the huge amount of allocated budget for overtime becomes a concern and needs some assessment, analysis and justification. The current hospital estimates suggests that the shortage at the hospital level corresponds to 300 full time equivalent (FTE) nurses, but the deficit is not basedon deep scientific approach. This paper deals with staffing model that provides the required scientific evidence on the deficit level. It also gives the accurate information on the overtime components. As a results, the suggested staffing model shows that some nursing units are unnecessarily overstaffed. Moreover, the current study reveals that the real deficit is of only 215 FTE resulting in a potential saving of 28%.

Impact of Including Authentic Inquiry Experiences in Methods Courses for Pre-Service Secondary Teachers

NASA Astrophysics Data System (ADS)

Slater, T. F.; Elfring, L.; Novodvorsky, I.; Talanquer, V.; Quintenz, J.

2007-12-01

Science education reform documents universally call for students to have authentic and meaningful experiences using real data in the context of their science education. The underlying philosophical position is that students analyzing data can have experiences that mimic actual research. In short, research experiences that reflect the scientific spirit of inquiry potentially can: prepare students to address real world complex problems; develop students' ability to use scientific methods; prepare students to critically evaluate the validity of data or evidence and of the consequent interpretations or conclusions; teach quantitative skills, technical methods, and scientific concepts; increase verbal, written, and graphical communication skills; and train students in the values and ethics of working with scientific data. However, it is unclear what the broader pre-service teacher preparation community is doing in preparing future teachers to promote, manage, and successful facilitate their own students in conducting authentic scientific inquiry. Surveys of undergraduates in secondary science education programs suggests that students have had almost no experiences themselves in conducting open scientific inquiry where they develop researchable questions, design strategies to pursue evidence, and communicate data-based conclusions. In response, the College of Science Teacher Preparation Program at the University of Arizona requires all students enrolled in its various science teaching methods courses to complete an open inquiry research project and defend their findings at a specially designed inquiry science mini-conference at the end of the term. End-of-term surveys show that students enjoy their research experience and believe that this experience enhances their ability to facilitate their own future students in conducting open inquiry.

EOS: A project to investigate the design and construction of real-time distributed Embedded Operating Systems

NASA Technical Reports Server (NTRS)

Campbell, R. H.; Essick, Ray B.; Johnston, Gary; Kenny, Kevin; Russo, Vince

1987-01-01

Project EOS is studying the problems of building adaptable real-time embedded operating systems for the scientific missions of NASA. Choices (A Class Hierarchical Open Interface for Custom Embedded Systems) is an operating system designed and built by Project EOS to address the following specific issues: the software architecture for adaptable embedded parallel operating systems, the achievement of high-performance and real-time operation, the simplification of interprocess communications, the isolation of operating system mechanisms from one another, and the separation of mechanisms from policy decisions. Choices is written in C++ and runs on a ten processor Encore Multimax. The system is intended for use in constructing specialized computer applications and research on advanced operating system features including fault tolerance and parallelism.

How scientific experiments are designed: Problem solving in a knowledge-rich, error-rich environment

NASA Astrophysics Data System (ADS)

Baker, Lisa M.

While theory formation and the relation between theory and data has been investigated in many studies of scientific reasoning, researchers have focused less attention on reasoning about experimental design, even though the experimental design process makes up a large part of real-world scientists' reasoning. The goal of this thesis was to provide a cognitive account of the scientific experimental design process by analyzing experimental design as problem-solving behavior (Newell & Simon, 1972). Three specific issues were addressed: the effect of potential error on experimental design strategies, the role of prior knowledge in experimental design, and the effect of characteristics of the space of alternate hypotheses on alternate hypothesis testing. A two-pronged in vivo/in vitro research methodology was employed, in which transcripts of real-world scientific laboratory meetings were analyzed as well as undergraduate science and non-science majors' design of biology experiments in the psychology laboratory. It was found that scientists use a specific strategy to deal with the possibility of error in experimental findings: they include "known" control conditions in their experimental designs both to determine whether error is occurring and to identify sources of error. The known controls strategy had not been reported in earlier studies with science-like tasks, in which participants' responses to error had consisted of replicating experiments and discounting results. With respect to prior knowledge: scientists and undergraduate students drew on several types of knowledge when designing experiments, including theoretical knowledge, domain-specific knowledge of experimental techniques, and domain-general knowledge of experimental design strategies. Finally, undergraduate science students generated and tested alternates to their favored hypotheses when the space of alternate hypotheses was constrained and searchable. This result may help explain findings of confirmation bias in earlier studies using science-like tasks, in which characteristics of the alternate hypothesis space may have made it unfeasible for participants to generate and test alternate hypotheses. In general, scientists and science undergraduates were found to engage in a systematic experimental design process that responded to salient features of the problem environment, including the constant potential for experimental error, availability of alternate hypotheses, and access to both theoretical knowledge and knowledge of experimental techniques.

Cloud-Hosted Real-time Data Services for the Geosciences (CHORDS)

NASA Astrophysics Data System (ADS)

Daniels, M. D.; Graves, S. J.; Vernon, F.; Kerkez, B.; Chandra, C. V.; Keiser, K.; Martin, C.

2014-12-01

Cloud-Hosted Real-time Data Services for the Geosciences (CHORDS) Access, utilization and management of real-time data continue to be challenging for decision makers, as well as researchers in several scientific fields. This presentation will highlight infrastructure aimed at addressing some of the gaps in handling real-time data, particularly in increasing accessibility of these data to the scientific community through cloud services. The Cloud-Hosted Real-time Data Services for the Geosciences (CHORDS) system addresses the ever-increasing importance of real-time scientific data, particularly in mission critical scenarios, where informed decisions must be made rapidly. Advances in the distribution of real-time data are leading many new transient phenomena in space-time to be observed, however real-time decision-making is infeasible in many cases that require streaming scientific data as these data are locked down and sent only to proprietary in-house tools or displays. This lack of accessibility to the broader scientific community prohibits algorithm development and workflows initiated by these data streams. As part of NSF's EarthCube initiative, CHORDS proposes to make real-time data available to the academic community via cloud services. The CHORDS infrastructure will enhance the role of real-time data within the geosciences, specifically expanding the potential of streaming data sources in enabling adaptive experimentation and real-time hypothesis testing. Adherence to community data and metadata standards will promote the integration of CHORDS real-time data with existing standards-compliant analysis, visualization and modeling tools.

A brief historical introduction to Euler's formula for polyhedra, topology, graph theory and networks

NASA Astrophysics Data System (ADS)

Debnath, Lokenath

2010-09-01

This article is essentially devoted to a brief historical introduction to Euler's formula for polyhedra, topology, theory of graphs and networks with many examples from the real-world. Celebrated Königsberg seven-bridge problem and some of the basic properties of graphs and networks for some understanding of the macroscopic behaviour of real physical systems are included. We also mention some important and modern applications of graph theory or network problems from transportation to telecommunications. Graphs or networks are effectively used as powerful tools in industrial, electrical and civil engineering, communication networks in the planning of business and industry. Graph theory and combinatorics can be used to understand the changes that occur in many large and complex scientific, technical and medical systems. With the advent of fast large computers and the ubiquitous Internet consisting of a very large network of computers, large-scale complex optimization problems can be modelled in terms of graphs or networks and then solved by algorithms available in graph theory. Many large and more complex combinatorial problems dealing with the possible arrangements of situations of various kinds, and computing the number and properties of such arrangements can be formulated in terms of networks. The Knight's tour problem, Hamilton's tour problem, problem of magic squares, the Euler Graeco-Latin squares problem and their modern developments in the twentieth century are also included.

On Teaching Energy: Preparing Students Better for their Role as Citizens

NASA Astrophysics Data System (ADS)

Myers, J. D.; Lyford, M. E.; Buss, A.

2009-12-01

Supplying energy to an expanding population with a rising standard of living and maintaining human and natural systems is an increasingly difficult task. Thus, energy is often listed as one of the grand challenges facing humankind. Energy‘s grand challenges are many, complex, multifaceted and of variable scale. It is not surprising then that their solutions must be multi-dimensional as well. Historically, energy solutions have focused on energy science (a multidisciplinary topic spanning biology, chemistry, Earth science, physics, and math), technology or economics. In the real world, focusing solely on these aspects of energy has rarely produced energy projects that are just and fair. Sustainable, equitable and effective energy projects are only created when additional perspectives are considered, e.g. environment, culture, social institutions, politics, etc. The natures of these other perspectives are determined largely by the social context of any particular energy issue. For example, petroleum production has had vastly different impacts in Norway than it does in Nigeria. Thus, solutions to energy issues are, in fact, multidimensional functions. Given this complexity, preparing students to deal with the energy issues they will face in the future requires an instructional approach that integrates a multidisciplinary science approach with technology and social context. Yet this alone will not ensure that students leave the classroom with the skills necessary to equitably, effectively and logically deal with energy issues. Rather, teaching energy also requires sound pedagogy. Effective pedagogy ensures student success in the classroom and facilitates transfer of classroom knowledge to real world situations. It includes, but also goes beyond, employing classroom strategies that promote deep and lasting learning. In this arena, it fosters the development of a skill set that enables students to transfer classroom knowledge to real world issues. It prepares students to handle the uncertainty and ambiguity of the real world while promoting critical thinking and problem solving. Fundamental literacies, a type of QR, prepare students to handle data, perform simple calculations and evaluate critically quantitative claims. They are crucial to working in the real world as well as the scientific realm. Understanding and using scientific content also requires mastering a series of technical literacies. Although they may vary between scientific disciplines, some technical literacies are shared by a number of sciences. Although most science courses assume students can transfer what they have learned to societal applications without further assistance, this is rare, even for the best students. Rather, this classroom-to-real world transfer skill set, i.e. citizenship literacies, must be explicitly taught and practiced. Mastering critical thinking, understanding social context and practicing informed engagement provides students the skills to use their scientific understanding to address energy problems in meaningful and effective ways while enabling them to communicate effectively their ideas to others and work co-operatively with stakeholders with different views.

Preparing to understand and use science in the real world: interdisciplinary study concentrations at the Technical University of Darmstadt.

PubMed

Liebert, Wolfgang J

2013-12-01

In order to raise awareness of the ambiguous nature of scientific-technological progress, and of the challenging problems it raises, problems which are not easily addressed by courses in a single discipline and cannot be projected onto disciplinary curricula, Technical University of Darmstadt has established three interdisciplinary study concentrations: "Technology and International Development", "Environmental Sciences", and "Sustainable Shaping of Technology and Science". These three programmes seek to overcome the limitations of strictly disciplinary research and teaching by developing an integrated, problem-oriented approach. For example, one course considers fundamental nuclear dilemmas and uses role-playing techniques to address a controversy in the area of nuclear security. At the same time, incorporating interdisciplinary teaching into a university that is organized around mono- or multi-disciplinary faculties also poses a number of challenges. Recognition in disciplinary curricula, and appropriate organizational support and funding are examples of those challenges. It is expected that science and engineering students, empowered by such interdisciplinary study programmes, will be better prepared to act responsibly with regard to scientific and technological challenges.

Concurrent systems and time synchronization

NASA Astrophysics Data System (ADS)

Burgin, Mark; Grathoff, Annette

2018-05-01

In the majority of scientific fields, system dynamics is described assuming existence of unique time for the whole system. However, it is established theoretically, for example, in relativity theory or in the system theory of time, and validated experimentally that there are different times and time scales in a variety of real systems - physical, chemical, biological, social, etc. In spite of this, there are no wide-ranging scientific approaches to exploration of such systems. Therefore, the goal of this paper is to study systems with this property. We call them concurrent systems because processes in them can go, events can happen and actions can be performed in different time scales. The problem of time synchronization is specifically explored.

Identifying problem and compulsive gamblers.

PubMed Central

van Es, R.

2000-01-01

OBJECTIVE: To present a meta-analysis of current research on the prevalence, identification, and treatment of problem and compulsive gamblers. QUALITY OF EVIDENCE: Problem and compulsive gambling was not a socio-scientific concern until the last two decades. Hence research on this topic is limited. The summary and analysis for this paper relied on computer searches of journal and news abstracts in addition to direct contact with organizations addressing the identification and treatment of compulsive gamblers. MAIN MESSAGE: An estimated 5% of those who gamble run into problems. About 1% of those who gamble are predicted to experience serious problems. Successful treatment of problem and compulsive gambling continues to be a challenge. Although cognitive therapy has been the favoured approach, a combination of several therapeutic approaches is advocated. CONCLUSIONS: Problem and compulsive gambling can present a real health threat. As with other addictions, treatment strategies continue to be a baffling social problem. Aware and informed physicians can have a pivotal role in the difficult process of identifying, acknowledging, and remediating problem and compulsive gambling. PMID:10907572

Laying the foundation to use Raspberry Pi 3 V2 camera module imagery for scientific and engineering purposes

NASA Astrophysics Data System (ADS)

Pagnutti, Mary; Ryan, Robert E.; Cazenavette, George; Gold, Maxwell; Harlan, Ryan; Leggett, Edward; Pagnutti, James

2017-01-01

A comprehensive radiometric characterization of raw-data format imagery acquired with the Raspberry Pi 3 and V2.1 camera module is presented. The Raspberry Pi is a high-performance single-board computer designed to educate and solve real-world problems. This small computer supports a camera module that uses a Sony IMX219 8 megapixel CMOS sensor. This paper shows that scientific and engineering-grade imagery can be produced with the Raspberry Pi 3 and its V2.1 camera module. Raw imagery is shown to be linear with exposure and gain (ISO), which is essential for scientific and engineering applications. Dark frame, noise, and exposure stability assessments along with flat fielding results, spectral response measurements, and absolute radiometric calibration results are described. This low-cost imaging sensor, when calibrated to produce scientific quality data, can be used in computer vision, biophotonics, remote sensing, astronomy, high dynamic range imaging, and security applications, to name a few.

Enhancing the Impact of Science Data: Toward Data Discovery and Reuse

DOE Office of Scientific and Technical Information (OSTI.GOV)

Chappell, Alan R.; Weaver, Jesse R.; Purohit, Sumit

The amount of data produced in support of scientific research continues to grow rapidly. Despite the accumulation and demand for scientific data, relatively little data are actually made available for the broader scientific community. We surmise that one root of this problem is the perceived difficulty of electronically publishing scientific data and associated metadata in a way that makes it discoverable. We propose exploiting Semantic Web technologies and best practices to make metadata both discoverable and easy to publish. We share experiences in curating metadata to illustrate the cumbersome nature of data reuse in the current research environment. We alsomore » make recommendations with a real-world example of how data publishers can provide their metadata by adding limited additional markup to HTML pages on the Web. With little additional effort from data publishers, the difficulty of data discovery, access, and sharing can be greatly reduced and the impact of research data greatly enhanced.« less

Hybrid 2-D and 3-D Immersive and Interactive User Interface for Scientific Data Visualization

DTIC Science & Technology

2017-08-01

visualization, 3-D interactive visualization, scientific visualization, virtual reality, real -time ray tracing 16. SECURITY CLASSIFICATION OF: 17...scientists to employ in the real world. Other than user-friendly software and hardware setup, scientists also need to be able to perform their usual...and scientific visualization communities mostly have different research priorities. For the VR community, the ability to support real -time user

Plan to Prevent and Respond to Sexual Assault of Military Men

DTIC Science & Technology

2016-10-01

2012) . Myths about male rape : A literature review. Psychology of Men & Masculinity, 13, 211-226. 2 Davies, M. (2002). Male sexual assault victims...may be due, in part, to pervasive myths about the implausibility of male rape and sexual assault. 5 Contrary to these beliefs, sexual assault is a... real problem for both men and women. Various scientific surveys of the military population indicate that while women are at higher risk for sexual

Ecological literacy and beyond: Problem-based learning for future professionals.

PubMed

Lewinsohn, Thomas M; Attayde, José Luiz; Fonseca, Carlos Roberto; Ganade, Gislene; Jorge, Leonardo Ré; Kollmann, Johannes; Overbeck, Gerhard E; Prado, Paulo Inácio; Pillar, Valério D; Popp, Daniela; da Rocha, Pedro L B; Silva, Wesley Rodrigues; Spiekermann, Annette; Weisser, Wolfgang W

2015-03-01

Ecological science contributes to solving a broad range of environmental problems. However, lack of ecological literacy in practice often limits application of this knowledge. In this paper, we highlight a critical but often overlooked demand on ecological literacy: to enable professionals of various careers to apply scientific knowledge when faced with environmental problems. Current university courses on ecology often fail to persuade students that ecological science provides important tools for environmental problem solving. We propose problem-based learning to improve the understanding of ecological science and its usefulness for real-world environmental issues that professionals in careers as diverse as engineering, public health, architecture, social sciences, or management will address. Courses should set clear learning objectives for cognitive skills they expect students to acquire. Thus, professionals in different fields will be enabled to improve environmental decision-making processes and to participate effectively in multidisciplinary work groups charged with tackling environmental issues.

Final Report for "Implimentation and Evaluation of Multigrid Linear Solvers into Extended Magnetohydrodynamic Codes for Petascale Computing"

DOE Office of Scientific and Technical Information (OSTI.GOV)

Srinath Vadlamani; Scott Kruger; Travis Austin

Extended magnetohydrodynamic (MHD) codes are used to model the large, slow-growing instabilities that are projected to limit the performance of International Thermonuclear Experimental Reactor (ITER). The multiscale nature of the extended MHD equations requires an implicit approach. The current linear solvers needed for the implicit algorithm scale poorly because the resultant matrices are so ill-conditioned. A new solver is needed, especially one that scales to the petascale. The most successful scalable parallel processor solvers to date are multigrid solvers. Applying multigrid techniques to a set of equations whose fundamental modes are dispersive waves is a promising solution to CEMM problems.more » For the Phase 1, we implemented multigrid preconditioners from the HYPRE project of the Center for Applied Scientific Computing at LLNL via PETSc of the DOE SciDAC TOPS for the real matrix systems of the extended MHD code NIMROD which is a one of the primary modeling codes of the OFES-funded Center for Extended Magnetohydrodynamic Modeling (CEMM) SciDAC. We implemented the multigrid solvers on the fusion test problem that allows for real matrix systems with success, and in the process learned about the details of NIMROD data structures and the difficulties of inverting NIMROD operators. The further success of this project will allow for efficient usage of future petascale computers at the National Leadership Facilities: Oak Ridge National Laboratory, Argonne National Laboratory, and National Energy Research Scientific Computing Center. The project will be a collaborative effort between computational plasma physicists and applied mathematicians at Tech-X Corporation, applied mathematicians Front Range Scientific Computations, Inc. (who are collaborators on the HYPRE project), and other computational plasma physicists involved with the CEMM project.« less

Approach of Decision Making Based on the Analytic Hierarchy Process for Urban Landscape Management

NASA Astrophysics Data System (ADS)

Srdjevic, Zorica; Lakicevic, Milena; Srdjevic, Bojan

2013-03-01

This paper proposes a two-stage group decision making approach to urban landscape management and planning supported by the analytic hierarchy process. The proposed approach combines an application of the consensus convergence model and the weighted geometric mean method. The application of the proposed approach is shown on a real urban landscape planning problem with a park-forest in Belgrade, Serbia. Decision makers were policy makers, i.e., representatives of several key national and municipal institutions, and experts coming from different scientific fields. As a result, the most suitable management plan from the set of plans is recognized. It includes both native vegetation renewal in degraded areas of park-forest and continued maintenance of its dominant tourism function. Decision makers included in this research consider the approach to be transparent and useful for addressing landscape management tasks. The central idea of this paper can be understood in a broader sense and easily applied to other decision making problems in various scientific fields.

Approach of decision making based on the analytic hierarchy process for urban landscape management.

PubMed

Srdjevic, Zorica; Lakicevic, Milena; Srdjevic, Bojan

2013-03-01

This paper proposes a two-stage group decision making approach to urban landscape management and planning supported by the analytic hierarchy process. The proposed approach combines an application of the consensus convergence model and the weighted geometric mean method. The application of the proposed approach is shown on a real urban landscape planning problem with a park-forest in Belgrade, Serbia. Decision makers were policy makers, i.e., representatives of several key national and municipal institutions, and experts coming from different scientific fields. As a result, the most suitable management plan from the set of plans is recognized. It includes both native vegetation renewal in degraded areas of park-forest and continued maintenance of its dominant tourism function. Decision makers included in this research consider the approach to be transparent and useful for addressing landscape management tasks. The central idea of this paper can be understood in a broader sense and easily applied to other decision making problems in various scientific fields.

Teaching Sustainability from a Scientific Standpoint at the Introductory Level

NASA Astrophysics Data System (ADS)

Campbell-Stone, E.; Myers, J. D.

2008-12-01

In recent decades, humankind has recognized that current levels of resource utilization are seriously impacting our planet's life support systems and threatening the ability of future generations to provide for themselves. The concept of sustainability has been promoted by a variety of national and international organizations as a method to devise ways to adjust humanity's habits and consumption to levels that can be maintained over the long term, i.e. sustained. Courses on sustainability are being offered at many universities and colleges, but most are taught outside of science departments; they are often designed around policy concerns or focus primarily on environmental impacts while neglecting the science of sustainability. Because the three foundations necessary to implement sustainability are sustainability governance, sustainability accounting, and sustainability science, it is imperative that science departments play an active role in preparing citizens and professionals for dealing with sustainability issues. The geosciences are one of the scientific disciplines that offer a logical foundation from which to teach sustainability science. Geoscientists can also offer a unique and relevant geologic perspective on sustainability issues. The authors have developed an introductory, interdisciplinary course entitled 'Global Sustainability: Managing Earth's Resources' that integrates scientific disciplines in the examination of real world sustainability issues. In-depth understanding of physical, Earth and biological science principles are necessary for students to identify the limits and constraints imposed on important issues facing modern society, e.g. water, energy, population growth, etc. This course exposes students to all the scientific principles that apply directly to sustainability. The subject allows the instructors to present open-ended, multifaceted and complex problems relevant to today's industrialized and globalized world, and it encourages students to think critically about global, national, and local issues. The course utilizes a lecture/lab format; lecture concentrates on the content of sustainability and lab offers students an opportunity to apply what they have learned to actual case studies (context). Students follow a variety of Earth resources from formation to extraction to processing to production to disposal/recycling. At each stage, students examine the relevant science, economics, policies, and environmental impact. Sustainability issues clearly demonstrate the relevance of scientific content and quantitative reasoning to real-world problems of energy, pollution, water, and climate change, and they also provide meaning and context to critical thinking and problem-solving. The integrated and interdisciplinary approach builds bridges between the natural and social sciences and benefits both STEM (Science, Technology, Engineering and Mathematics) and non-STEM students. Non-STEM students learn through practice and application how science, engineering and technology are fundamental to solving many of the problems societies face, and STEM students discover that those fields cannot operate independently from issues of culture, economics, and politics. By having STEM and non-STEM students work in groups on global sustainability problems, the course helps to lower the barriers between the disciplines and promotes comprehensive and multifaceted examination of societal issues at many levels.

A New Virtual and Remote Experimental Environment for Teaching and Learning Science

NASA Astrophysics Data System (ADS)

Lustigova, Zdena; Lustig, Frantisek

This paper describes how a scientifically exact and problem-solving-oriented remote and virtual science experimental environment might help to build a new strategy for science education. The main features are: the remote observations and control of real world phenomena, their processing and evaluation, verification of hypotheses combined with the development of critical thinking, supported by sophisticated relevant information search, classification and storing tools and collaborative environment, supporting argumentative writing and teamwork, public presentations and defense of achieved results, all either in real presence, in telepresence or in combination of both. Only then real understanding of generalized science laws and their consequences can be developed. This science learning and teaching environment (called ROL - Remote and Open Laboratory), has been developed and used by Charles University in Prague since 1996, offered to science students in both formal and informal learning, and also to science teachers within their professional development studies, since 2003.

Wavelet-Based Interpolation and Representation of Non-Uniformly Sampled Spacecraft Mission Data

NASA Technical Reports Server (NTRS)

Bose, Tamal

2000-01-01

A well-documented problem in the analysis of data collected by spacecraft instruments is the need for an accurate, efficient representation of the data set. The data may suffer from several problems, including additive noise, data dropouts, an irregularly-spaced sampling grid, and time-delayed sampling. These data irregularities render most traditional signal processing techniques unusable, and thus the data must be interpolated onto an even grid before scientific analysis techniques can be applied. In addition, the extremely large volume of data collected by scientific instrumentation presents many challenging problems in the area of compression, visualization, and analysis. Therefore, a representation of the data is needed which provides a structure which is conducive to these applications. Wavelet representations of data have already been shown to possess excellent characteristics for compression, data analysis, and imaging. The main goal of this project is to develop a new adaptive filtering algorithm for image restoration and compression. The algorithm should have low computational complexity and a fast convergence rate. This will make the algorithm suitable for real-time applications. The algorithm should be able to remove additive noise and reconstruct lost data samples from images.

Design-based science and the transfer of science knowledge and real-world problem-solving skills

NASA Astrophysics Data System (ADS)

Fortus, David Leon

Design-Based Science (DBS) helps students develop new scientific knowledge and problem-solving skills in the context of designing artifacts. This pedagogy was developed as a response to the potential problem of transfer of knowledge from academic settings to extra classroom environments. This dissertation describes DBS in detail and attempts to answer three questions: (1) Do DBS curricula support students' efforts to transfer newly constructed science knowledge and 'designerly' skills (Baynes, 1994) to the solution of new real-world design problems in an extra-classroom setting? (2) Do DBS curricula support students' efforts to construct new scientific knowledge? (3) Do DBS curricula support students' efforts to develop 'designerly' problem-solving skills? Ninety-two students attending a public high school serving a working class community participated in the consecutive enactments of three different DBS units over one school year. The analysis of pre- and posttests and of artifacts created by the students demonstrated that substantial knowledge was constructed during each of the enactments, with the tests leading to effect sizes of 2.1 on the first unit, 1.9 on the second, and 2.7 on the third. After each enactment the students solved a new design problem as a transfer task. The transfer tasks were unsequestered, unsupported by the teacher, lasted three days, were done in the school's library, required new learning, and were solved in groups of four. In order to generate an individual measure of transfer, the students responded to an individual post-transfer written test after each transfer task was completed, that assessed their understanding and recollection of the solution their group submitted. For all three units there was a stronger correlation between the individual transfer scores and posttests scores than with pretest scores, indicating that the knowledge and skills that were constructed during the enactments supported the solution of the transfer tasks. The correlations with the posttests increased from one enactment to the next, demonstrating that the students' transfer performance improved as they gained more experience in DBS classrooms. Potential threats to the study's internal validity that were identified and discussed were improved teacher proficiency, the nature of the transfer tasks, the difficulty of the science content covered by the units, the similarity between the units and the transfer tasks, and the similarity between the transfer tasks. This dissertation demonstrates that: (a) appropriate learning environments can foster transfer, (b) transfer performance can improve over time, and (c) that it may be necessary to rethink and redefine the procedures for identifying and assessing real-world transfer.

[Nonparametric method of estimating survival functions containing right-censored and interval-censored data].

PubMed

Xu, Yonghong; Gao, Xiaohuan; Wang, Zhengxi

2014-04-01

Missing data represent a general problem in many scientific fields, especially in medical survival analysis. Dealing with censored data, interpolation method is one of important methods. However, most of the interpolation methods replace the censored data with the exact data, which will distort the real distribution of the censored data and reduce the probability of the real data falling into the interpolation data. In order to solve this problem, we in this paper propose a nonparametric method of estimating the survival function of right-censored and interval-censored data and compare its performance to SC (self-consistent) algorithm. Comparing to the average interpolation and the nearest neighbor interpolation method, the proposed method in this paper replaces the right-censored data with the interval-censored data, and greatly improves the probability of the real data falling into imputation interval. Then it bases on the empirical distribution theory to estimate the survival function of right-censored and interval-censored data. The results of numerical examples and a real breast cancer data set demonstrated that the proposed method had higher accuracy and better robustness for the different proportion of the censored data. This paper provides a good method to compare the clinical treatments performance with estimation of the survival data of the patients. This pro vides some help to the medical survival data analysis.

The Role of Authentic Objects in Museums of the History of Science and Technology: Findings from a Visitor Study

ERIC Educational Resources Information Center

Hampp, Constanze; Schwan, Stephan

2015-01-01

One characteristic of science centers and science museums is that they communicate scientific findings by presenting real scientific objects. In particular, science museums focus on the historical context of scientific discoveries by displaying authentic objects, defined as original objects that once served a science-related, real-world purpose…

A Scientific Approach to the Investigation on Anomalous Atmospheric Light Phenomena

NASA Astrophysics Data System (ADS)

Teodorani, M.

2011-12-01

Anomalous atmospheric light phenomena tend to occur recurrently in several places of our planet. Statistical studies show that a phenomenon's real recurrence area can be identified only after pondering reported cases on the population number and on the diffusion of communication media. The main scientific results that have been obtained so far after explorative instrumented missions have been carried out are presented, including the empirical models that have been set up in order to describe the observed reality. Subsequently, a focused theorization is discussed in order to attack the physical problem concerning the structure and the dynamics of "light balls" and the enigma related to the central force that maintains them in spherical shape. Finally, several important issues are discussed regarding methodology, strategy, tactics and interdisciplinary approaches.

Bridging the Particle Physics and Big Data Worlds

NASA Astrophysics Data System (ADS)

Pivarski, James

2017-09-01

For decades, particle physicists have developed custom software because the scale and complexity of our problems were unique. In recent years, however, the ``big data'' industry has begun to tackle similar problems, and has developed some novel solutions. Incorporating scientific Python libraries, Spark, TensorFlow, and machine learning tools into the physics software stack can improve abstraction, reliability, and in some cases performance. Perhaps more importantly, it can free physicists to concentrate on domain-specific problems. Building bridges isn't always easy, however. Physics software and open-source software from industry differ in many incidental ways and a few fundamental ways. I will show work from the DIANA-HEP project to streamline data flow from ROOT to Numpy and Spark, to incorporate ideas of functional programming into histogram aggregation, and to develop real-time, query-style manipulations of particle data.

Expertise finding in bibliographic network: topic dominance learning approach.

PubMed

Neshati, Mahmood; Hashemi, Seyyed Hadi; Beigy, Hamid

2014-12-01

Expert finding problem in bibliographic networks has received increased interest in recent years. This problem concerns finding relevant researchers for a given topic. Motivated by the observation that rarely do all coauthors contribute to a paper equally, in this paper, we propose two discriminative methods for realizing leading authors contributing in a scientific publication. Specifically, we cast the problem of expert finding in a bibliographic network to find leading experts in a research group, which is easier to solve. We recognize three feature groups that can discriminate relevant experts from other authors of a document. Experimental results on a real dataset, and a synthetic one that is gathered from a Microsoft academic search engine, show that the proposed model significantly improves the performance of expert finding in terms of all common information retrieval evaluation metrics.

Towards a dynamical scheduler for ALMA: a science - software collaboration

NASA Astrophysics Data System (ADS)

Avarias, Jorge; Toledo, Ignacio; Espada, Daniel; Hibbard, John; Nyman, Lars-Ake; Hiriart, Rafael

2016-07-01

State-of-the art astronomical facilities are costly to build and operate, hence it is essential that these facilities must be operated as much efficiently as possible, trying to maximize the scientific output and at the same time minimizing overhead times. Over the latest decades the scheduling problem has drawn attention of research because new facilities have been demonstrated that is unfeasible to try to schedule observations manually, due the complexity to satisfy the astronomical and instrumental constraints and the number of scientific proposals to be reviewed and evaluated in near real-time. In addition, the dynamic nature of some constraints make this problem even more difficult. The Atacama Large Millimeter/submillimeter Array (ALMA) is a major collaboration effort between European (ESO), North American (NRAO) and East Asian countries (NAOJ), under operations on the Chilean Chajnantor plateau, at 5.000 meters of altitude. During normal operations at least two independent arrays are available, aiming to achieve different types of science. Since ALMA does not observe in the visible spectrum, observations are not limited to night time only, thus a 24/7 operation with little downtime as possible is expected when full operations state will have been reached. However, during preliminary operations (early-science) ALMA has been operated on tied schedules using around half of the whole day-time to conduct scientific observations. The purpose of this paper is to explain how the observation scheduling and its optimization is done within ALMA, giving details about the problem complexity, its similarities and differences with traditional scheduling problems found in the literature. The paper delves into the current recommendation system implementation and the difficulties found during the road to its deployment in production.

Scientist-Centered Workflow Abstractions via Generic Actors, Workflow Templates, and Context-Awareness for Groundwater Modeling and Analysis

DOE Office of Scientific and Technical Information (OSTI.GOV)

Chin, George; Sivaramakrishnan, Chandrika; Critchlow, Terence J.

2011-07-04

A drawback of existing scientific workflow systems is the lack of support to domain scientists in designing and executing their own scientific workflows. Many domain scientists avoid developing and using workflows because the basic objects of workflows are too low-level and high-level tools and mechanisms to aid in workflow construction and use are largely unavailable. In our research, we are prototyping higher-level abstractions and tools to better support scientists in their workflow activities. Specifically, we are developing generic actors that provide abstract interfaces to specific functionality, workflow templates that encapsulate workflow and data patterns that can be reused and adaptedmore » by scientists, and context-awareness mechanisms to gather contextual information from the workflow environment on behalf of the scientist. To evaluate these scientist-centered abstractions on real problems, we apply them to construct and execute scientific workflows in the specific domain area of groundwater modeling and analysis.« less

Redesigning Introductory Science Courses to Teach Sustainability: Introducing the L(SC)2 Paradigm

NASA Astrophysics Data System (ADS)

Myers, J. D.; Campbell-Stone, E.; Massey, G.

2008-12-01

Modern societies consume vast quantities of Earth resources at unsustainable levels; at the same time, resource extraction, processing, production, use and disposal have resulted in environmental damage severe enough to threaten the life-support systems of our planet. These threats are produced by multiple, integrative and cumulative environmental stresses, i.e. syndromes, which result from human physical, ecological and social interactions with the environment in specific geographic places. In recent decades, recognition of this growing threat has lead to the concept of sustainability. The science needed to provide the knowledge and know-how for a successful sustainability transition differs markedly from the science that built our modern world. Sustainability science must balanced basic and applied research, promote integrative research focused on specific problems and devise a means of merging fundamental, general scientific principles with understanding of specific places. At the same time, it must use a variety of knowledge areas, i.e. biological systems, Earth systems, technological systems and social systems, to devise solutions to the many complex and difficult problems humankind faces. Clearly, sustainability science is far removed from the discipline-based science taught in most U.S. colleges. Many introductory science courses focus on content, lack context and do not integrate scientific disciplines. To prepare the citizens who will confront future sustainability issues as well as the scientists needed to devise future sustainability strategies, educators and scientists must redesign the typical college science course. A new course paradigm, Literacies and Scientific Content in Social Context (L(SC)2), is ideally suited to teach sustainability science. It offers an alternative approach to liberal science education by redefining and expanding the concept of the interdisciplinary course and merging it with the integrated science course. In addition to promoting scientific literacy, L(SC)2 courses explicitly promote mastery of fundamental quantitative and qualitative skills critical to science and commonly a barrier to student success in science. Scientific content addresses the principles and disciplines necessary to tackle the multifaceted problems that must be solved in any sustainability transition and illustrates the limitations on what can be accomplished. Finally, social context adds the place-based component that is critical to sustainability science while revealing how science impacts students' everyday lives. Experience in addressing realistic, real-life problems fosters the habits of mind necessary to address these problems and instills a sense of social and political efficacy and responsibility. The L(SC)2 course paradigm employs a variety of educational tools (active problem-based learning, collaborative work, peer instruction, interdisciplinarity, and global context-based instruction) that improve lasting comprehension by creating a more effective learning environment. In this paradigm, STEM students learn that although there may be a technically or scientifically optimal solution to a problem, it must be responsive to a society's social, legal, cultural and religious parameters. Conversely, students in non-STEM fields learn that solutions to societal problems must be scientifically valid and technologically feasible. The interaction of STEM and non-STEM students in L(SC)2 courses builds bridges between the natural and social sciences that are critical for a successful sustainability transition and lacking in most traditional science courses.

Social and content aware One-Class recommendation of papers in scientific social networks.

PubMed

Wang, Gang; He, XiRan; Ishuga, Carolyne Isigi

2017-01-01

With the rapid development of information technology, scientific social networks (SSNs) have become the fastest and most convenient way for researchers to communicate with each other. Many published papers are shared via SSNs every day, resulting in the problem of information overload. How to appropriately recommend personalized and highly valuable papers for researchers is becoming more urgent. However, when recommending papers in SSNs, only a small amount of positive instances are available, leaving a vast amount of unlabelled data, in which negative instances and potential unseen positive instances are mixed together, which naturally belongs to One-Class Collaborative Filtering (OCCF) problem. Therefore, considering the extreme data imbalance and data sparsity of this OCCF problem, a hybrid approach of Social and Content aware One-class Recommendation of Papers in SSNs, termed SCORP, is proposed in this study. Unlike previous approaches recommended to address the OCCF problem, social information, which has been proved playing a significant role in performing recommendations in many domains, is applied in both the profiling of content-based filtering and the collaborative filtering to achieve superior recommendations. To verify the effectiveness of the proposed SCORP approach, a real-life dataset from CiteULike was employed. The experimental results demonstrate that the proposed approach is superior to all of the compared approaches, thus providing a more effective method for recommending papers in SSNs.

Social and content aware One-Class recommendation of papers in scientific social networks

PubMed Central

Wang, Gang; He, XiRan

2017-01-01

With the rapid development of information technology, scientific social networks (SSNs) have become the fastest and most convenient way for researchers to communicate with each other. Many published papers are shared via SSNs every day, resulting in the problem of information overload. How to appropriately recommend personalized and highly valuable papers for researchers is becoming more urgent. However, when recommending papers in SSNs, only a small amount of positive instances are available, leaving a vast amount of unlabelled data, in which negative instances and potential unseen positive instances are mixed together, which naturally belongs to One-Class Collaborative Filtering (OCCF) problem. Therefore, considering the extreme data imbalance and data sparsity of this OCCF problem, a hybrid approach of Social and Content aware One-class Recommendation of Papers in SSNs, termed SCORP, is proposed in this study. Unlike previous approaches recommended to address the OCCF problem, social information, which has been proved playing a significant role in performing recommendations in many domains, is applied in both the profiling of content-based filtering and the collaborative filtering to achieve superior recommendations. To verify the effectiveness of the proposed SCORP approach, a real-life dataset from CiteULike was employed. The experimental results demonstrate that the proposed approach is superior to all of the compared approaches, thus providing a more effective method for recommending papers in SSNs. PMID:28771495

Analysis of Photonic Networks for a Chip Multiprocessor Using Scientific Applications

DTIC Science & Technology

2009-05-01

Analysis of Photonic Networks for a Chip Multiprocessor Using Scientific Applications Gilbert Hendry†, Shoaib Kamil‡?, Aleksandr Biberman†, Johnnie...electronic networks -on-chip warrants investigating real application traces on functionally compa- rable photonic and electronic network designs. We... network can achieve 75× improvement in energy ef- ficiency for synthetic benchmarks and up to 37× improve- ment for real scientific applications

How the Contents of a Bachelor's Degree Final Project of Engineering Evolve towards Innovative Scientific Knowledge: Keys to Success

ERIC Educational Resources Information Center

Núñez, Cristina; Guinea, Ana; Callau, Sara; Bengoa, Christophe; Basco, Josep; Gavaldà, Jordi

2017-01-01

The Bachelor's Degree Final Project (BDFP) of our school aims to develop a real constructive project, enhance cooperative teamwork and increase productivity of students. We present a real case study, related with engineering and scientific innovation results obtained by BDFP, which has led to an innovative scientific study presented at the 7th…

Spatiotemporal Characterization of a Fibrin Clot Using Quantitative Phase Imaging

PubMed Central

Gannavarpu, Rajshekhar; Bhaduri, Basanta; Tangella, Krishnarao; Popescu, Gabriel

2014-01-01

Studying the dynamics of fibrin clot formation and its morphology is an important problem in biology and has significant impact for several scientific and clinical applications. We present a label-free technique based on quantitative phase imaging to address this problem. Using quantitative phase information, we characterized fibrin polymerization in real-time and present a mathematical model describing the transition from liquid to gel state. By exploiting the inherent optical sectioning capability of our instrument, we measured the three-dimensional structure of the fibrin clot. From this data, we evaluated the fractal nature of the fibrin network and extracted the fractal dimension. Our non-invasive and speckle-free approach analyzes the clotting process without the need for external contrast agents. PMID:25386701

Video Creation: A Tool for Engaging Students to Learn Science

NASA Astrophysics Data System (ADS)

Courtney, A. R.

2016-12-01

Students today process information very differently than those of previous generations. They are used to getting their news from 140-character tweets, being entertained by You-Tube videos, and Googling everything. Thus, traditional passive methods of content delivery do not work well for many of these millennials. All students, regardless of career goals, need to become scientifically literate to be able to function in a world where scientific issues are of increasing importance. Those who have had experience applying scientific reasoning to real-world problems in the classroom will be better equipped to make informed decisions in the future. The problem to be solved is how to present scientific content in a manner that fosters student learning in today's world. This presentation will describe how the appeal of technology and social communication via creation of documentary-style videos has been used to engage students to learn scientific concepts in a university non-science major course focused on energy and the environment. These video projects place control of the learning experience into the hands of the learner and provide an opportunity to develop critical thinking skills. Students discover how to locate scientifically reliable information by limiting searches to respected sources and synthesize the information through collaborative content creation to generate a "story". Video projects have a number of advantages over research paper writing. They allow students to develop collaboration skills and be creative in how they deliver the scientific content. Research projects are more effective when the audience is larger than just a teacher. Although our videos are used as peer-teaching tools in the classroom, they also are shown to a larger audience in a public forum to increase the challenge. Video will be the professional communication tool of the future. This presentation will cover the components of the video production process and instructional lessons learned over a seven-year period.

Collective Influence of Multiple Spreaders Evaluated by Tracing Real Information Flow in Large-Scale Social Networks.

PubMed

Teng, Xian; Pei, Sen; Morone, Flaviano; Makse, Hernán A

2016-10-26

Identifying the most influential spreaders that maximize information flow is a central question in network theory. Recently, a scalable method called "Collective Influence (CI)" has been put forward through collective influence maximization. In contrast to heuristic methods evaluating nodes' significance separately, CI method inspects the collective influence of multiple spreaders. Despite that CI applies to the influence maximization problem in percolation model, it is still important to examine its efficacy in realistic information spreading. Here, we examine real-world information flow in various social and scientific platforms including American Physical Society, Facebook, Twitter and LiveJournal. Since empirical data cannot be directly mapped to ideal multi-source spreading, we leverage the behavioral patterns of users extracted from data to construct "virtual" information spreading processes. Our results demonstrate that the set of spreaders selected by CI can induce larger scale of information propagation. Moreover, local measures as the number of connections or citations are not necessarily the deterministic factors of nodes' importance in realistic information spreading. This result has significance for rankings scientists in scientific networks like the APS, where the commonly used number of citations can be a poor indicator of the collective influence of authors in the community.

Exploring the complexity of inquiry learning in an open-ended problem space

NASA Astrophysics Data System (ADS)

Clarke, Jody

Data-gathering and problem identification are key components of scientific inquiry. However, few researchers have studied how students learn these skills because historically this required a time-consuming, complicated method of capturing the details of learners' data-gathering processes. Nor are classroom settings authentic contexts in which students could exhibit problem identification skills parallel to those involved in deconstructing complex real world situations. In this study of middle school students, because of my access to an innovative technology, I simulated a disease outbreak in a virtual community as a complicated, authentic problem. As students worked through the curriculum in the virtual world, their time-stamped actions were stored by the computer in event-logs. Using these records, I tracked in detail how the student scientists made sense of the complexity they faced and how they identified and investigated the problem using science-inquiry skills. To describe the degree to which students' data collection narrowed and focused on a specific disease over time, I developed a rubric and automated the coding of records in the event-logs. I measured the ongoing development of the students' "systematicity" in investigating the disease outbreak. I demonstrated that coding event-logs is an effective yet non-intrusive way of collecting and parsing detailed information about students' behaviors in real time in an authentic setting. My principal research question was "Do students who are more thoughtful about their inquiry prior to entry into the curriculum demonstrate increased systematicity in their inquiry behavior during the experience, by narrowing the focus of their data-gathering more rapidly than students who enter with lower levels of thoughtfulness about inquiry?" My sample consisted of 403 middle-school students from public schools in the US who volunteered to participate in the River City Project in spring 2008. Contrary to my hypothesis, I found that prior thoughtfulness of inquiry was not a predictor of the subsequent development of systematicity. However, all students did indeed become more systematic in their scientific behavior over time. On average, boys were generally more systematic than girls, but the rates at which systematicity increased with time was identical across the genders.

Real Science, Real Learning: Bridging the Gap Between Scientists, Educators and Students

NASA Astrophysics Data System (ADS)

Lewis, Y.

2006-05-01

Today as never before, America needs its citizens to be literate in science and technology. Not only must we only inspire a new generation of scientists and engineers and technologists, we must foster a society capable of meeting complex, 21st-century challenges. Unfortunately, the need for creative, flexible thinkers is growing at a time when our young students are lagging in science interest and performance. Over the past 17 years, the JASON Project has worked to link real science and scientists to the classroom. This link provide viable pipeline to creating the next generation scientists and researchers. Ultimately, JASON's mission is to improve the way science is taught by enabling students to learn directly from leading scientists. Through partnerships with agencies such as NOAA and NASA, JASON creates multimedia classroom products based on current scientific research. Broadcasts of science expeditions, hosted by leading researchers, are coupled with classroom materials that include interactive computer-based simulations, video- on-demand, inquiry-based experiments and activities, and print materials for students and teachers. A "gated" Web site hosts online resources and provides a secure platform to network with scientists and other classrooms in a nationwide community of learners. Each curriculum is organized around a specific theme for a comprehensive learning experience. It may be taught as a complete package, or individual components can be selected to teach specific, standards-based concepts. Such thematic units include: Disappearing Wetlands, Mysteries of Earth and Mars, and Monster Storms. All JASON curriculum units are grounded in "inquiry-based learning." The highly interactive curriculum will enable students to access current, real-world scientific research and employ the scientific method through reflection, investigation, identification of problems, sharing of data, and forming and testing hypotheses. JASON specializes in effectively applying technology in science education by designing animated interactive visualizations that promote student understanding of complex scientific concepts and systems (Rieber, 1990, 1996). JASON's experience in utilizing the power of simulation technology has been widely recognized for its effectiveness in exciting and engaging students in science learning by independent evaluations of JASON's multimedia science curriculum (Ba et al., 2001; Goldenberg et al., 2003). The data collected indicates that JASON's science products have had a positive impact on students' science learning, have positively influenced their perceptions of scientists and of becoming scientists, and have helped diverse students grasp a deeper understanding of complex scientific content, concepts and technologies.

The Relevance of Social Theory in the Practice of Environmental Management.

PubMed

Meissner, Richard

2016-10-01

In this paper I argue that the dominance of certain paradigms and theories on policies can have an influence on the value added by impact assessments. A link exists between paradigms and theories and policies and consequently the practices humans develop to tackle real world problems. I also argue that different types of thinking (contained in paradigms and theories) need to be integrated, at least at the scientific level, to enhance our understanding of social phenomena. This in turn can have a positive influence on policy processes that follow impact assessment recommendations. I am not arguing for the adoption of theoretical positions by practitioners, Instead, I contend that if impact assessments are informed by a variety of paradigms and theories, the policy practitioner might have a better understanding of the issue and the moral choices he or she needs to make. I will highlight the connection between theory and policies with practical examples from the social impact assessment of the De Hoop Dam, which was constructed on the Steelpoort River. I also argue for an integration of different theories to give a deeper understanding of real world problems.

A baroclinic quasigeostrophic open ocean model

NASA Technical Reports Server (NTRS)

Miller, R. N.; Robinson, A. R.; Haidvogel, D. B.

1983-01-01

A baroclinic quasigeostrophic open ocean model is presented, calibrated by a series of test problems, and demonstrated to be feasible and efficient for application to realistic mid-oceanic mesoscale eddy flow regimes. Two methods of treating the depth dependence of the flow, a finite difference method and a collocation method, are tested and intercompared. Sample Rossby wave calculations with and without advection are performed with constant stratification and two levels of nonlinearity, one weaker than and one typical of real ocean flows. Using exact analytical solutions for comparison, the accuracy and efficiency of the model is tabulated as a function of the computational parameters and stability limits set; typically, errors were controlled between 1 percent and 10 percent RMS after two wave periods. Further Rossby wave tests with realistic stratification and wave parameters chosen to mimic real ocean conditions were performed to determine computational parameters for use with real and simulated data. Finally, a prototype calculation with quasiturbulent simulated data was performed successfully, which demonstrates the practicality of the model for scientific use.

(abstract) TOPEX/Poseidon: Four Years of Synoptic Oceanography

NASA Technical Reports Server (NTRS)

Fu, Lee-Lueng

1996-01-01

Exceeding all expectations of measurement precision and accuracy, the US/France TOPEX/Poseidon satellite mission is now in its 5th year. Returning more than 98 percent of the altimetric data, the measured global geocentric height of the sea surface has provided unprecedented opportunities to address a host of scientific problems ranging from the dynamics of ocean circulation to the distribution of internal tidal energy. Scientific highlights of this longest-running altimetric satellite mission include improvements in our understanding of the dynamics and thermodynamics of the large-scale ocean variability, such as, the properties of planetary waves; the energetics of basin-wide gyres; the heat budget of the ocean; and the ocean's response to wind forcing. For the first time, oceanographers have quantitative descriptions of a dynamic variable of the physical state of the global oceans available in near-real-time.

IOPS advisor: Research in progress on knowledge-intensive methods for irregular operations airline scheduling

NASA Technical Reports Server (NTRS)

Borse, John E.; Owens, Christopher C.

1992-01-01

Our research focuses on the problem of recovering from perturbations in large-scale schedules, specifically on the ability of a human-machine partnership to dynamically modify an airline schedule in response to unanticipated disruptions. This task is characterized by massive interdependencies and a large space of possible actions. Our approach is to apply the following: qualitative, knowledge-intensive techniques relying on a memory of stereotypical failures and appropriate recoveries; and quantitative techniques drawn from the Operations Research community's work on scheduling. Our main scientific challenge is to represent schedules, failures, and repairs so as to make both sets of techniques applicable to the same data. This paper outlines ongoing research in which we are cooperating with United Airlines to develop our understanding of the scientific issues underlying the practicalities of dynamic, real-time schedule repair.

[Child abuse: a world problem].

PubMed

Santana-Tavira, R; Sánchez-Ahedo, R; Herrera-Basto, E

1998-01-01

Several problems are encountered in the study of child abuse: ignorance of its real proportions, deep cultural and historical roots, diversity of opinion as to its definition and classification and, finally, very diverse considerations on its repercussions and therapeutic management. The present study approaches child abuse from its historical precedents, its classifications, definitions and epidemiology. In addition, repercussions are reviewed, and treatment alternatives considered which are held as fundamental to confront this alarmingly increasing phenomenon. It is important to unify criteria as to the definition and classification of scientific information surrounding demographic data which, in the end, will situate the problem, the progress related to its causes, diagnosis, preventive measures and treatment. It is extremely important to prevent child abuse by all possible means, since this harm is reflected in the adult life of the child. Various classifications are considered, as well as characteristics of the abuser and of the abused.

Judging Thieves of Attention: Commentary on "Assessing Cognitive Distraction in the Automobile," by Strayer, Turrill, Cooper, Coleman, Medeiros-Ward, and Biondi (2015).

PubMed

Hancock, Peter A; Sawyer, Ben D

2015-12-01

The laudable effort by Strayer and his colleagues to derive a systematic method to assess forms of cognitive distraction in the automobile is beset by the problem of nonstationary in driver response capacity. At the level of the overall goal of driving, this problem conflates actual on-road behavior; characterized by underspecified task satisficing, with our own understandable, scientifically inspired aspiration for measuring deterministic performance optimization. Measures of response conceived under this latter imperative are, at best, only shadowy reflections of the actual phenomenological experience involved in real-world vehicle control. Whether we, as a research community, can resolve this issue remains uncertain. However, we believe we can mount a positive attack on what is arguably another equally important dimension of the collision problem. © 2015, Human Factors and Ergonomics Society.

Job Scheduling in a Heterogeneous Grid Environment

NASA Technical Reports Server (NTRS)

Shan, Hong-Zhang; Smith, Warren; Oliker, Leonid; Biswas, Rupak

2004-01-01

Computational grids have the potential for solving large-scale scientific problems using heterogeneous and geographically distributed resources. However, a number of major technical hurdles must be overcome before this potential can be realized. One problem that is critical to effective utilization of computational grids is the efficient scheduling of jobs. This work addresses this problem by describing and evaluating a grid scheduling architecture and three job migration algorithms. The architecture is scalable and does not assume control of local site resources. The job migration policies use the availability and performance of computer systems, the network bandwidth available between systems, and the volume of input and output data associated with each job. An extensive performance comparison is presented using real workloads from leading computational centers. The results, based on several key metrics, demonstrate that the performance of our distributed migration algorithms is significantly greater than that of a local scheduling framework and comparable to a non-scalable global scheduling approach.

Using the VEPP website in a Master of Education in Earth Sciences course (Invited)

NASA Astrophysics Data System (ADS)

Richardson, E.

2010-12-01

Secondary science teachers are better able to transmit the excitement of the process of science when they have access to real-time or near-real-time datasets. Large digital databases are ubiquitous in many subfields of the geosciences; the experience of working with such data is valuable as an authentic teaching and learning tool. In Penn State’s Master of Education in Earth Sciences program, course activities are carefully designed keeping in mind the twin goals of the program: teachers will participate in the process of science by interacting with genuine scientific data, and teachers will observe the process of science by reading and discussing scientific papers. A second objective is for teachers to be able to repurpose any activities and datasets for their own classrooms. Therefore, course activities must use openly available data in a format requiring little or no pre-processing. Here I present an example of such an activity involving near-real-time data made available by the Volcano Exploration Project at Pu’u O’o (VEPP). It is designed as a problem set housed in a week-long lesson concerning volcanic eruptions. Students read a paper in which recent volcanic activity at Kilauea’s east flank is described based on observations from several instruments. They use the figures and data presented in the paper to predict hypothetical instrument responses to certain volcanic activities, and calculate the rate of magma movement based on measured seismicity. Next, students must interact with the web-based VALVE software package available at the VEPP website which allows them to visualize several kinds of geophysical data sources collected at Pu’u O’o. Their assignment is to discover and describe a recent deflation-inflation caldera event recorded simultaneously by seismometers, GPS stations, and tiltmeters. The course in which this problem set is given has been taught twice since this activity was designed: spring and summer semesters 2010. Students were able to interact effectively with the VEPP website as well as the VALVE3 software. They reported in an informal poll that their experience working with this data enabled them to convey to their own students the importance of making scientific observations with a variety of instruments that work in concert to monitor a system of interest.

Bayesian-information-gap decision theory with an application to CO 2 sequestration

DOE PAGES

O'Malley, D.; Vesselinov, V. V.

2015-09-04

Decisions related to subsurface engineering problems such as groundwater management, fossil fuel production, and geologic carbon sequestration are frequently challenging because of an overabundance of uncertainties (related to conceptualizations, parameters, observations, etc.). Because of the importance of these problems to agriculture, energy, and the climate (respectively), good decisions that are scientifically defensible must be made despite the uncertainties. We describe a general approach to making decisions for challenging problems such as these in the presence of severe uncertainties that combines probabilistic and non-probabilistic methods. The approach uses Bayesian sampling to assess parametric uncertainty and Information-Gap Decision Theory (IGDT) to addressmore » model inadequacy. The combined approach also resolves an issue that frequently arises when applying Bayesian methods to real-world engineering problems related to the enumeration of possible outcomes. In the case of zero non-probabilistic uncertainty, the method reduces to a Bayesian method. Lastly, to illustrate the approach, we apply it to a site-selection decision for geologic CO 2 sequestration.« less

Technology Development, Implementation, and Assessment: K-16 Pre-Service, In-Service, and Distance Learning Initiatives

NASA Technical Reports Server (NTRS)

Petersen, Richard

1998-01-01

This summer 22 kindergarten through 8th grade teachers attended a 3-week Teacher Enhancement Institute (TEI) at NASA Langley Research Center. TEI is funded by NASA Education Division and is a collaborative effort between NASA Langley's Office of Education and Christopher Newport University. Selected teacher teams were drawn from Langley's 5-state precollege service region, which includes Kentucky, North Carolina, South Carolina, Virginia, and West Virginia. The goal of TEI was for teachers to learn aeronautics and the broad application of science and technology through a problem-based learning (PBL) strategy. PBL is an instructional method using a real world problem, also known as an ill-structured problem, as the context for an in-depth investigation. Most real life problems are ill-structured, as are all the really important social, political and scientific problems. The teachers were immediately immersed in an ill-structured problem to design a communication strategy for the White House Commission on Aviation Safety and Security to educate and disseminate aviation information to the general public. Specifically, the communication strategy was to focus on aeronautics principles, technology and design associated with US general aviation revitalization and aviation safety programs. The presented problem addressed NASA's strategic outcome to widely communicate the content, relevancy and excitement of its missions and discoveries to the general population. Further, the PBL scenario addressed the technological challenges being taken up by NASA to revolutionize air travel and the way in which aircraft are designed, built, and operated. It also addressed getting people and freight safely and efficiently to any location in the world at a reasonable cost. With a "real" need-to-know problem facing them, the teachers set out to gather information and to better understand the problem using inquiry-based and scientific methods. The learning in this aeronautics scenario was driven by the direction taken by participants. With the support of the TEI faculty, the teachers quickly identified NASA Langley researchers that served as consultants to help solve the problem. To achieve their goal, the teacher teams developed lesson plans for elementary and middle school students, wrote a newspaper, published a brochure to educate the general public, constructed games for children of all ages, and produced a video. As a second problem, the TEI participants will design their own aeronautic lesson plan and immerse their 1997-98 school year students in the problem. The problem is for the students "to create a traveling hands-on, minds-on aeronautics museum exhibit created for children by children." As a culminating activity, the Virginia Air and Space Center in Hampton, VA, will set up a special display of the exhibits in the Summer 1998. The TEI faculty will visit each TEI teacher's classroom during the academic school year to observe the implementation of the unit. In addition to the classroom observations, electronic follow-up sessions will be conducted during the school year to support the teachers' efforts in developing their PBL units to integrate technology in math and science instruction. These sessions eill be conducted using the Internet. Teachers will be connected through a chat-line to share ideas, ask questions, and generate solutions.

Enabling the Use of Authentic Scientific Data in the Classroom--Lessons Learned from the AccessData and Data Services Workshops

NASA Astrophysics Data System (ADS)

Lynds, S. E.; Buhr, S. M.; Ledley, T. S.

2007-12-01

Enabling the Use of Authentic Scientific Data in the Classroom--Lessons Learned from the AccessData and Data Services Workshops Since 2004, the annual AccessData and DLESE Data Services workshops have gathered scientists, data managers, technology specialists, teachers, and curriculum developers to work together creating classroom- ready scientific data modules. Teams of five (one participant from each of the five professions) develop topic- specific online educational units of the Earth Exploration Toolbook (serc.carleton.edu/eet/). Educators from middle schools through undergraduate colleges have been represented, as have scientific data professionals from many organizations across the United States. Extensive evaluation has been included in the design of each workshop. The evaluation results have been used each year to improve subsequent workshops. In addition to refining the format and process of the workshop itself, evaluation data collected reveal attendees' experiences using scientific data for educational purposes. Workshop attendees greatly value the opportunity to network with those of other professional roles in developing a real-world education project using scientific data. Educators appreciate the opportunity to work directly with scientists and technology specialists, while researchers and those in technical fields value the classroom expertise of the educators. Attendees' data use experiences are explored every year. Although bandwidth and connectivity were problems for data use in 2004, that has become much less common over time. The most common barriers to data use cited now are discoverability, data format problems, incomplete data sets, and poor documentation. Most attendees agree that the most useful types of online documentation and user support for scientific data are step-by-step instructions, examples, tutorials, and reference manuals. Satellite imagery and weather data were the most commonly used types of data, and these were often modified for use in the classroom. This presentation will discuss supports and barriers to the use of scientific data in the classroom, as well as the benefits and challenges of using collaborations between technical and educational professionals to develop resources for the classroom.

Exploring English Language Learners (ELL) Experiences with Scientific Language and Inquiry within a Real Life Context

ERIC Educational Resources Information Center

Algee, Lisa M.

2012-01-01

English Language Learners (ELL) are often at a distinct disadvantage from receiving authentic science learning opportunites. This study explored English Language Learners (ELL) learning experiences with scientific language and inquiry within a real life context. This research was theoretically informed by sociocultural theory and literature on…

Things Change, People Change, Libraries Go on: E-books or Not E-books?

NASA Astrophysics Data System (ADS)

Martines, F.

2015-04-01

The aim of this paper is to describe how e-books work and how they can be managed in a scientific or research library; specifically, to discuss the viability of e-lending. The results were a little bit surprising and even slightly confusing. Unquestionably, e-books have enormous potential, but much of this potential is untapped. Although there is widespread awareness of the advantages of e-books among users and librarians, problems and challenges are not as well known. After a discussion of the potential advantages, I will concentrate on some of the real drawbacks of e-books.

Human recognition in a video network

NASA Astrophysics Data System (ADS)

Bhanu, Bir

2009-10-01

Video networks is an emerging interdisciplinary field with significant and exciting scientific and technological challenges. It has great promise in solving many real-world problems and enabling a broad range of applications, including smart homes, video surveillance, environment and traffic monitoring, elderly care, intelligent environments, and entertainment in public and private spaces. This paper provides an overview of the design of a wireless video network as an experimental environment, camera selection, hand-off and control, anomaly detection. It addresses challenging questions for individual identification using gait and face at a distance and present new techniques and their comparison for robust identification.

Students' Attitudes to Information in the Press: Critical Reading of a Newspaper Article With Scientific Content

NASA Astrophysics Data System (ADS)

Oliveras, B.; Márquez, C.; Sanmartí, N.

2014-08-01

This research analyses what happens when a critical reading activity based on a press article dealing with an energy-related problem is implemented with two groups of students of 13-14 years old and 16-17 years old in the same school (a total of 117 students). Specifically, the research analyses the students' profiles from the standpoint of their attitudes to the information given in the news story and the use they make of it when writing an argumentative text. It also analyses the difficulties the students have when it comes to applying their knowledge about energy in a real-life context. Lastly, some strategies are suggested for helping students to critically analyse the scientific content of a newspaper article. Three reader profiles were identified (the credulous reader, the ideological reader and the critical reader). No significant differences were found in reading profiles in terms of age or scientific knowledge. The findings show that the activity helped to link science learning in school with facts relating to an actual context, particularly in the case of students with more science knowledge.

Interactive voxel graphics in virtual reality

NASA Astrophysics Data System (ADS)

Brody, Bill; Chappell, Glenn G.; Hartman, Chris

2002-06-01

Interactive voxel graphics in virtual reality poses significant research challenges in terms of interface, file I/O, and real-time algorithms. Voxel graphics is not so new, as it is the focus of a good deal of scientific visualization. Interactive voxel creation and manipulation is a more innovative concept. Scientists are understandably reluctant to manipulate data. They collect or model data. A scientific analogy to interactive graphics is the generation of initial conditions for some model. It is used as a method to test those models. We, however, are in the business of creating new data in the form of graphical imagery. In our endeavor, science is a tool and not an end. Nevertheless, there is a whole class of interactions and associated data generation scenarios that are natural to our way of working and that are also appropriate to scientific inquiry. Annotation by sketching or painting to point to and distinguish interesting and important information is very significant for science as well as art. Annotation in 3D is difficult without a good 3D interface. Interactive graphics in virtual reality is an appropriate approach to this problem.

The Race Idea in Reproductive Technologies: Beyond Epistemic Scientism and Technological Mastery.

PubMed

Russell, Camisha

2015-12-01

This paper explores the limitations of epistemic scientism for understanding the role the concept of race plays in assisted reproductive technology (ART) practices. Two major limitations centre around the desire to use scientific knowledge to bring about social improvement. In the first case, undue focus is placed on debunking the scientific reality of racial categories and characteristics. The alternative to this approach is to focus instead on the way the race idea functions in ART practices. Doing so reveals how the race idea (1) helps to define the reproductive "problems" different groups of women are experiencing and to dictate when and how they should be "helped"; (2) helps to resolve tensions about who should be considered the real parents of children produced by reproductive technologies; and (3) is used to limit ART use where that use threatens to denaturalize the very sociopolitical landscape the race idea has created. In the second case, scientific knowledge regarding reproduction is thought to call for technological control over that reproduction. This leads to an overemphasis on personal responsibility and a depoliticization of racialized social inequalities.

The Impact of Active and Context-Based Learning in Introductory Chemistry Courses: An Early Evaluation of the Modular Approach

NASA Astrophysics Data System (ADS)

Gutwill-Wise, Joshua P.

2001-05-01

This study evaluates new materials, "modules", for teaching introductory chemistry courses. The modules, under development by faculty from two NSF-funded consortia, employ real-world contexts and an interactive class format to foster conceptual understanding, scientific thinking, and improved attitudes toward science. The evaluation studies were conducted at two institutions, a small college and a large university. The experimental design at each school compared students in a course section taught with modules to those in a section that used a textbook and lecture format. At both schools, students in the modular section outperformed the control group on conceptual problems in chemistry and on scientific thinking problems. Modular section students at the large university also outperformed their peers on the first midterm exam in the subsequent organic chemistry course. Regarding attitudes, the modular section students were more positive about chemistry and the course than their peers in the control section at the small college. However, at the large school, the opposite attitudinal pattern was found. An analysis of informal focus group data provides insight into the negative attitudes in the modular section of the large course. Possible remedies for the issues raised are discussed.

On scientific utility inspired by collecting real-time reports of the aurora

NASA Astrophysics Data System (ADS)

MacDonald, E.; Kosar, B.; Heavner, M.; Case, N.; Michael, C. R.; Edwardson, A.; Patel, K.; Hall, M.

2016-12-01

Aurorasaurus is a new source of global, real-time data on the visibility of the aurora. Citizen science observations have been collected via a website, social media, and apps for over two years during active aurora times. In the data-starved field of space physics thousands of such reports are scientifically useful to test and extend coarse models predicting the extent of aurora. Accuracy improvements to the leading model based on case and statistical studies have been developed and these improvements implemented in better real time tools. Our project also uses Twitter data in novel ways, showing that it can robustly indicate geomagnetic activity in real-time, that locations can be extracted from tweets at significantly higher than usual rates, that the real-time veracity of reports can be verified, and that the efficacy of such a system can be tested. Through the project, enthusiasts and credentialed scientists have collaborated to investigate and make discoveries of rare auroral phenomena as well. We will discuss the scientific results in 5 papers to date, as well as aspects of these results that have similarities to other citizen science projects. We will discuss elements of the project particularly well suited for scientific inquiry as well as those aspects that have presented challenges.

New optical museum at Saint-Petersburg for education and training

NASA Astrophysics Data System (ADS)

Vasil'ev, V. N.; Stafeef, S. K.; Tomilin, M. G.

2009-06-01

Nowadays the educational problem of teaching optics and photonics is to attract the young generation to the wonderful and magic world of light, optical science, technology and systems. The main issue is to explain that in the course of last several hundred years optics has been representing the most clear world view for humanity. In fact, the optics itself is a multidisciplinary complex of independent scientific directions, and, moreover, it has always been a generator of new fields of knowledge. Besides, optics and photonics are the fields within which the most fundamental problems of today's reality are to be resolved. It is absolutely necessary to encourage our scholars in getting optics and photonics education as an alternative physical basis to gaining solely computer knowledge. The main obstacle is the poor connection between program of optical education and the real optical researches, disintegration of different branches of the optical science, the demographic situation, some problems with teaching mathematics and physics at schools, and the collision between traditional educational methods and the mentality of the new generation. In Russia the Saint-Petersburg State University of Information Technologies, Mechanics and Optics offers partial solution to these problems: the organization of a real place for interactive optical science in a form of a new museum of optics, intended for education and training, seems to be the most effective way. This was the main reason for establishing such a museum in Saint-Petersburg at the end of 2008.

Sustainable Development for Whom and How? Exploring the Gaps between Popular Discourses and Ground Reality Using the Mexican Jatropha Biodiesel Case.

PubMed

Banerjee, Aparajita; Halvorsen, Kathleen E; Eastmond-Spencer, Amarella; Sweitz, Sam R

2017-06-01

In the last decade, jatropha-based bioenergy projects have gotten significant attention as a solution to various social, economic, and environmental problems. Jatropha's popularity stemmed out from different discourses, some real and some perceived, in scientific and non-scientific literature. These discourses positioned jatropha as a crop helpful in producing biodiesel and protecting sustainability by reducing greenhouse gas emissions compared to fossil fuels and increasing local, rural development by creating jobs. Consequently, many countries established national policies that incentivized the establishment of jatropha as a bioenergy feedstock crop. In this paper, we explore the case of jatropha bioenergy development in Yucatan, Mexico and argue that the popular discourse around jatropha as a sustainability and rural development tool is flawed. Analyzing our results from 70 semi-structured interviews with community members belonging to a region where plantation-scale jatropha projects were introduced, we found that these projects did not have many significant social sustainability benefits. We conclude from our case that by just adding bioenergy projects cannot help achieve social sustainability in rural areas alone. In ensuring social sustainability of bioenergy projects, future policymaking processes should have a more comprehensive understanding of the rural socioeconomic problems where such projects are promoted and use bioenergy projects as one of the many solutions to local problems rather than creating such policies based just on popular discourses.

Sustainable Development for Whom and How? Exploring the Gaps between Popular Discourses and Ground Reality Using the Mexican Jatropha Biodiesel Case

NASA Astrophysics Data System (ADS)

Banerjee, Aparajita; Halvorsen, Kathleen E.; Eastmond-Spencer, Amarella; Sweitz, Sam R.

2017-06-01

In the last decade, jatropha-based bioenergy projects have gotten significant attention as a solution to various social, economic, and environmental problems. Jatropha's popularity stemmed out from different discourses, some real and some perceived, in scientific and non-scientific literature. These discourses positioned jatropha as a crop helpful in producing biodiesel and protecting sustainability by reducing greenhouse gas emissions compared to fossil fuels and increasing local, rural development by creating jobs. Consequently, many countries established national policies that incentivized the establishment of jatropha as a bioenergy feedstock crop. In this paper, we explore the case of jatropha bioenergy development in Yucatan, Mexico and argue that the popular discourse around jatropha as a sustainability and rural development tool is flawed. Analyzing our results from 70 semi-structured interviews with community members belonging to a region where plantation-scale jatropha projects were introduced, we found that these projects did not have many significant social sustainability benefits. We conclude from our case that by just adding bioenergy projects cannot help achieve social sustainability in rural areas alone. In ensuring social sustainability of bioenergy projects, future policymaking processes should have a more comprehensive understanding of the rural socioeconomic problems where such projects are promoted and use bioenergy projects as one of the many solutions to local problems rather than creating such policies based just on popular discourses.

Collective Influence of Multiple Spreaders Evaluated by Tracing Real Information Flow in Large-Scale Social Networks

NASA Astrophysics Data System (ADS)

Teng, Xian; Pei, Sen; Morone, Flaviano; Makse, Hernán A.

2016-10-01

Identifying the most influential spreaders that maximize information flow is a central question in network theory. Recently, a scalable method called “Collective Influence (CI)” has been put forward through collective influence maximization. In contrast to heuristic methods evaluating nodes’ significance separately, CI method inspects the collective influence of multiple spreaders. Despite that CI applies to the influence maximization problem in percolation model, it is still important to examine its efficacy in realistic information spreading. Here, we examine real-world information flow in various social and scientific platforms including American Physical Society, Facebook, Twitter and LiveJournal. Since empirical data cannot be directly mapped to ideal multi-source spreading, we leverage the behavioral patterns of users extracted from data to construct “virtual” information spreading processes. Our results demonstrate that the set of spreaders selected by CI can induce larger scale of information propagation. Moreover, local measures as the number of connections or citations are not necessarily the deterministic factors of nodes’ importance in realistic information spreading. This result has significance for rankings scientists in scientific networks like the APS, where the commonly used number of citations can be a poor indicator of the collective influence of authors in the community.

Teaching with research: a strategy for students of postgraduation in medicine.

PubMed

Rodrigues, Maria das Graças Villela; Gonçalves, Manuel Domingos da Cruz

2013-01-01

Promoting a scientific activity of research to students of a graduation program as a reflexive tool of teacher and formative practice of necessary activities to construction of a research in medical education. Graduation students of surgery at UFRJ did a research, randomly interviewing a population of medical teachers who acts at Medicine Universities of Rio de Janeiro. The study was structured in three steps: definition of the investigative content; realization of 150 interviews before field research and discussion about the results. The majority of interviewees (85%) assert to know the recent trends of education, but when they express their thoughts they leave doubts about the real knowledge of the subject. The expositive classes were used by 90% of the interviewees; only 10% of them utilized strategies of teaching to transmit the contents. Just 52% of the doctors said that they had already heard about the Resolution CNE/CES N° 4/2001. The teaching with research challenged the students as investigators preparing them to the research and construction of the necessary scientific attitudes in the graduation and assisting them in solving the investigated problem. The results highlighted that the found peaces of information in the research were not accurate to feature a real dimension of the update, showing that it is recommended new studies.

Collective Influence of Multiple Spreaders Evaluated by Tracing Real Information Flow in Large-Scale Social Networks

PubMed Central

Teng, Xian; Pei, Sen; Morone, Flaviano; Makse, Hernán A.

2016-01-01

Identifying the most influential spreaders that maximize information flow is a central question in network theory. Recently, a scalable method called “Collective Influence (CI)” has been put forward through collective influence maximization. In contrast to heuristic methods evaluating nodes’ significance separately, CI method inspects the collective influence of multiple spreaders. Despite that CI applies to the influence maximization problem in percolation model, it is still important to examine its efficacy in realistic information spreading. Here, we examine real-world information flow in various social and scientific platforms including American Physical Society, Facebook, Twitter and LiveJournal. Since empirical data cannot be directly mapped to ideal multi-source spreading, we leverage the behavioral patterns of users extracted from data to construct “virtual” information spreading processes. Our results demonstrate that the set of spreaders selected by CI can induce larger scale of information propagation. Moreover, local measures as the number of connections or citations are not necessarily the deterministic factors of nodes’ importance in realistic information spreading. This result has significance for rankings scientists in scientific networks like the APS, where the commonly used number of citations can be a poor indicator of the collective influence of authors in the community. PMID:27782207

Visualizing 3D data obtained from microscopy on the Internet.

PubMed

Pittet, J J; Henn, C; Engel, A; Heymann, J B

1999-01-01

The Internet is a powerful communication medium increasingly exploited by business and science alike, especially in structural biology and bioinformatics. The traditional presentation of static two-dimensional images of real-world objects on the limited medium of paper can now be shown interactively in three dimensions. Many facets of this new capability have already been developed, particularly in the form of VRML (virtual reality modeling language), but there is a need to extend this capability for visualizing scientific data. Here we introduce a real-time isosurfacing node for VRML, based on the marching cube approach, allowing interactive isosurfacing. A second node does three-dimensional (3D) texture-based volume-rendering for a variety of representations. The use of computers in the microscopic and structural biosciences is extensive, and many scientific file formats exist. To overcome the problem of accessing such data from VRML and other tools, we implemented extensions to SGI's IFL (image format library). IFL is a file format abstraction layer defining communication between a program and a data file. These technologies are developed in support of the BioImage project, aiming to establish a database prototype for multidimensional microscopic data with the ability to view the data within a 3D interactive environment. Copyright 1999 Academic Press.

Vital nodes identification in complex networks

NASA Astrophysics Data System (ADS)

Lü, Linyuan; Chen, Duanbing; Ren, Xiao-Long; Zhang, Qian-Ming; Zhang, Yi-Cheng; Zhou, Tao

2016-09-01

Real networks exhibit heterogeneous nature with nodes playing far different roles in structure and function. To identify vital nodes is thus very significant, allowing us to control the outbreak of epidemics, to conduct advertisements for e-commercial products, to predict popular scientific publications, and so on. The vital nodes identification attracts increasing attentions from both computer science and physical societies, with algorithms ranging from simply counting the immediate neighbors to complicated machine learning and message passing approaches. In this review, we clarify the concepts and metrics, classify the problems and methods, as well as review the important progresses and describe the state of the art. Furthermore, we provide extensive empirical analyses to compare well-known methods on disparate real networks, and highlight the future directions. In spite of the emphasis on physics-rooted approaches, the unification of the language and comparison with cross-domain methods would trigger interdisciplinary solutions in the near future.

What do we mean by accuracy in geomagnetic measurements?

USGS Publications Warehouse

Green, A.W.

1990-01-01

High accuracy is what distinguishes measurements made at the world's magnetic observatories from other types of geomagnetic measurements. High accuracy in determining the absolute values of the components of the Earth's magnetic field is essential to studying geomagnetic secular variation and processes at the core mantle boundary, as well as some magnetospheric processes. In some applications of geomagnetic data, precision (or resolution) of measurements may also be important. In addition to accuracy and resolution in the amplitude domain, it is necessary to consider these same quantities in the frequency and space domains. New developments in geomagnetic instruments and communications make real-time, high accuracy, global geomagnetic observatory data sets a real possibility. There is a growing realization in the scientific community of the unique relevance of geomagnetic observatory data to the principal contemporary problems in solid Earth and space physics. Together, these factors provide the promise of a 'renaissance' of the world's geomagnetic observatory system. ?? 1990.

A Real-Time PCR with Melting Curve Analysis for Molecular Typing of Vibrio parahaemolyticus.

PubMed

He, Peiyan; Wang, Henghui; Luo, Jianyong; Yan, Yong; Chen, Zhongwen

2018-05-23

Foodborne disease caused by Vibrio parahaemolyticus is a serious public health problem in many countries. Molecular typing has a great scientific significance and application value for epidemiological research of V. parahaemolyticus. In this study, a real-time PCR with melting curve analysis was established for molecular typing of V. parahaemolyticus. Eighteen large variably presented gene clusters (LVPCs) of V. parahaemolyticus which have different distributions in the genome of different strains were selected as targets. Primer pairs of 18 LVPCs were distributed into three tubes. To validate this newly developed assay, we tested 53 Vibrio parahaemolyticus strains, which were classified in 13 different types. Furthermore, cluster analysis using NTSYS PC 2.02 software could divide 53 V. parahaemolyticus strains into six clusters at a relative similarity coefficient of 0.85. This method is fast, simple, and conveniently for molecular typing of V. parahaemolyticus.

Media-Savvy Scientific Literacy: Developing Critical Evaluation Skills by Investigating Scientific Claims

ERIC Educational Resources Information Center

Brickman, Peggy; Gormally, Cara; Francom, Greg; Jardeleza, Sarah E.; Schutte, Virginia G. W.; Jordan, Carly; Kanizay, Lisa

2012-01-01

Students must learn content knowledge and develop scientific literacy skills to evaluate and use scientific information in real-world situations. Recognizing the accessibility of scientific information to the average citizen, we developed an instructional approach to help students learn how to judge the quality of claims. We describe a…

TRIENNIAL REPRODUCTION SYMPOSIUM: American Society of Animal Science L. E. Casida Award for Excellence in Graduate Education: Thoughts on mentoring graduate students in reproductive biology.

PubMed

Smith, M F

2016-07-01

Programs in animal science are particularly well suited for graduate education because students can receive comprehensive training in the laboratory as well as with the whole animal. Furthermore, graduate students in animal science have the opportunity to understand how their research relates to a real world problem. Graduate students need to take ownership of their education by identifying training goals, choosing a mentor who will help them achieve their goals, and becoming engaged in research as soon as possible. In my own graduate program, I emphasize concepts more than techniques and I believe that graduate course work should focus on the basic areas of science that underlie reproductive biology (e.g., endocrinology, biochemistry, physiology, immunology, and statistics). Based on the increase in technology available for scientific investigation and the diversity of expertise required to address important research problems, graduate students need to learn the importance of establishing productive collaborations and begin building a scientific network. Preparation for graduate school frequently begins early with a curiosity and passion for understanding how biology works. Undergraduate courses can facilitate scientific thinking by providing opportunities in lectures and laboratories for students to transition from passive learners to thinking of themselves as animal scientists. There is a profound difference between individuals who view themselves as practitioners of a discipline and those who are simply trying to complete a course requirement. Teachers of undergraduate courses should incorporate experiential learning exercises into their lectures and laboratories to provide undergraduate students the opportunity to function as animal scientists and to embrace their scientific education. Graduate training has been the most enjoyable aspect of my career and it has been a joy to witness the achievements of students following completion of their degree!

75 FR 4090 - Center for Scientific Review; Notice of Closed Meetings

Federal Register 2010, 2011, 2012, 2013, 2014

2010-01-26

... El Camino Real, San Diego, CA 92130. Contact Person: William A. Greenberg, PhD., Scientific Review... (Virtual Meeting). Contact Person: Fouad A. El-Zaatari, PhD., Scientific Review Officer, Center for... for Scientific Review Special Emphasis Panel, Small Business: Experimental Cancer Therapeutics. Date...

Problems Encountered during the Scientific Research Process in Graduate Education: The Institute of Educational Sciences

ERIC Educational Resources Information Center

Akyürek, Erkan; Afacan, Özlem

2018-01-01

This study was conducted to determine the problems faced by graduate students when conducting scientific research and to make suggestions for solving these problems. The research model was a case study. Semi-structured interviews were conducted with participants in the study with questions about the problems encountered during scientific research…

MARS Valley Networks Project: Martian Valley Network Analysis Run-off or Sapping? - A WebGIS approach

NASA Astrophysics Data System (ADS)

Luo, W.; Kitts, K. B.; Young, P.; Schwantes, F. W.; Hung, W.

2006-12-01

We report the progress made in a two-year NASA funded EPO project, which takes advantage of the latest WebGIS technology to bring real NASA data to high school classrooms. The only requirement for the WebGIS is an Internet connection and a standard web browser allowing the widest possible accessibility. The overall goal of the project is to enhance the students' interest in science and to directly engage them in the actual process of conducting scientific research with a real scientific research question and real scientific datasets. The students will be exposed to the full process of conducting real scientific investigation: collecting evidence, analyzing data, formulating alternative hypotheses, and communicating and debating with their peers about their findings. Such opportunities are rarely available in the middle through high school level. We have set up the WebGIS (http://marsproject.niu.edu) and have completed the student and teacher tutorials. The standard-based student modules are being finalized and tested by two Master teachers this semester. A training workshop for teachers will be held Spring 2007. Approximately twenty classrooms will be participating fully by the 2007-08 school year.

Ocean Wireless Networking and Real Time Data Management

NASA Astrophysics Data System (ADS)

Berger, J.; Orcutt, J. A.; Vernon, F. L.; Braun, H. W.; Rajasekar, A.

2001-12-01

Recent advances in technology have enabled the exploitation of satellite communications for high-speed (> 64 kbps) duplex communications with oceanographic ships at sea. Furthermore, decreasing costs for high-speed communications have made possible continuous connectivity to the global Internet for delivery of data ashore and communications with scientists and engineers on the ship. Through support from the Office of Naval Research, we have planned a series of tests using the R/V Revelle for real time data delivery of large quantities of underway data (e.g. continuous multibeam profiling) to shore for quality control, archiving, and real-time data availability. The Cecil H. and Ida M. Green Institute of Geophysics and Planetary Physics (IGPP) and the San Diego Supercomputer Center (SDSC) were funded by the NSF Information Technology Research (ITR) Program, the California Institute for Telecommunications and Information Technology [Cal-(IT)2] and the Scripps Institution of Oceanography for research entitled: "Exploring the Environment in Time: Wireless Networks & Real-Time Management." We will describe the technology to be used for the real-time seagoing experiment and the planned expansion of the project through support from the ITR grant. The short-term goal is to exercise the communications system aboard ship in various weather conditions and sea states while testing and developing the real-time data quality control and archiving methodology. The long-term goal is to enable continuous observations in the ocean, specifically supporting the goals of the DEOS (Dynamics of Earth and Ocean Systems) observatory program supported through a NSF Major Research Equipment (MRE) program - a permanent presence in the oceans. The impact on scientific work aboard ships, however, is likely to be fundamental. It will be possible to go to sea in the future with limited engineering capability for scientific operations by allowing shore-based quality control of data collected and videoconferencing for problem resolution. Costs for shipboard measurements will be reduced significantly while, at the same time, the quality of data collected will increase and ex-post-facto data archiving will no longer be necessary.

Application of Recent Advances in Forward Modeling of Emissions from Boreal and Temperate Wildfires to Real-time Forecasting of Aerosol and Trace Gas Concentrations

NASA Astrophysics Data System (ADS)

Hyer, E. J.; Reid, J. S.; Kasischke, E. S.; Allen, D. J.

2005-12-01

The magnitude of trace gas and aerosol emissions from wildfires is a scientific problem with important implications for atmospheric composition, and is also integral to understanding carbon cycling in terrestrial ecosystems. Recent ecological research on modeling wildfire emissions has integrated theoretical advances derived from ecological fieldwork with improved spatial and temporal databases to produce "post facto" estimates of emissions with high spatial and temporal resolution. These advances have been shown to improve agreement with atmospheric observations at coarse scales, but can in principle be applied to applications, such as forecasting, at finer scales. However, several of the approaches employed in these forward models are incompatible with the requirements of real-time forecasting, requiring modification of data inputs and calculation methods. Because of the differences in data inputs used for real-time and "post-facto" emissions modeling, the key uncertainties in the forward problem are not necessarily the same for these two applications. However, adaptation of these advances in forward modeling to forecasting applications has the potential to improve air quality forecasts, and also to provide a large body of experimental data which can be used to constrain crucial uncertainties in current conceptual models of wildfire emissions. This talk describes a forward modeling method developed at the University of Maryland and its application to the Fire Locating and Modeling of Burning Emissions (FLAMBE) system at the Naval Research Laboratory. Methods for applying the outputs of the NRL aerosol forecasting system to the inverse problem of constraining emissions will also be discussed. The system described can use the feedback supplied by atmospheric observations to improve the emissions source description in the forecasting model, and can also be used for hypothesis testing regarding fire behavior and data inputs.

Optimized positioning of autonomous surgical lamps

NASA Astrophysics Data System (ADS)

Teuber, Jörn; Weller, Rene; Kikinis, Ron; Oldhafer, Karl-Jürgen; Lipp, Michael J.; Zachmann, Gabriel

2017-03-01

We consider the problem of finding automatically optimal positions of surgical lamps throughout the whole surgical procedure, where we assume that future lamps could be robotized. We propose a two-tiered optimization technique for the real-time autonomous positioning of those robotized surgical lamps. Typically, finding optimal positions for surgical lamps is a multi-dimensional problem with several, in part conflicting, objectives, such as optimal lighting conditions at every point in time while minimizing the movement of the lamps in order to avoid distractions of the surgeon. Consequently, we use multi-objective optimization (MOO) to find optimal positions in real-time during the entire surgery. Due to the conflicting objectives, there is usually not a single optimal solution for such kinds of problems, but a set of solutions that realizes a Pareto-front. When our algorithm selects a solution from this set it additionally has to consider the individual preferences of the surgeon. This is a highly non-trivial task because the relationship between the solution and the parameters is not obvious. We have developed a novel meta-optimization that considers exactly this challenge. It delivers an easy to understand set of presets for the parameters and allows a balance between the lamp movement and lamp obstruction. This metaoptimization can be pre-computed for different kinds of operations and it then used by our online optimization for the selection of the appropriate Pareto solution. Both optimization approaches use data obtained by a depth camera that captures the surgical site but also the environment around the operating table. We have evaluated our algorithms with data recorded during a real open abdominal surgery. It is available for use for scientific purposes. The results show that our meta-optimization produces viable parameter sets for different parts of an intervention even when trained on a small portion of it.

Tsunami Science for Society

NASA Astrophysics Data System (ADS)

Bernard, E. N.

2014-12-01

As the decade of mega-tsunamis has unfolded with new data, the science of tsunami has advanced at an unprecedented pace. Our responsibility to society should guide the use of these new scientific discoveries to better prepare society for the next tsunami. This presentation will focus on the impacts of the 2004 and 2011 tsunamis and new societal expectations accompanying enhanced funding for tsunami research. A list of scientific products, including tsunami hazard maps, tsunami energy scale, real-time tsunami flooding estimates, and real-time current velocities in harbors will be presented to illustrate society's need for relevant, easy to understand tsunami information. Appropriate use of these tsunami scientific products will be presented to demonstrate greater tsunami resilience for tsunami threatened coastlines. Finally, a scientific infrastructure is proposed to ensure that these products are both scientifically sound and represent today's best practices to protect the scientific integrity of the products as well as the safety of coastal residents.

Problem based learning - A brief review

NASA Astrophysics Data System (ADS)

Nunes, Sandra; Oliveira, Teresa A.; Oliveira, Amílcar

2017-07-01

Teaching is a complex mission that requires not only the theoretical knowledge transmission, but furthermore requires to provide the students the necessary skills for solving real problems in their respective professional activities where complex issues and problems must be frequently faced. Over more than twenty years we have been experiencing an increase in scholar failure in the scientific area of mathematics, which means that Teaching Mathematics and related areas can be even a more complex and hard task. Scholar failure is a complex phenomenon that depends on various factors as social factors, scholar factors or biophysical factors. After numerous attempts made in order to reduce scholar failure our goal in this paper is to understand the role of "Problem Based Learning" and how this methodology can contribute to the solution of both: increasing mathematical courses success and increasing skills in the near future professionals in Portugal. Before designing a proposal for applying this technique in our institutions, we decided to conduct a survey to provide us with the necessary information about and the respective advantages and disadvantages of this methodology, so this is the brief review aim.

Implementing interactive decision support: A case for combining cyberinfrastructure, data fusion, and social process to mobilize scientific knowledge in sustainability problems

NASA Astrophysics Data System (ADS)

Pierce, S. A.

2014-12-01

Geosciences are becoming increasingly data intensive, particularly in relation to sustainability problems, which are multi-dimensional, weakly structured and characterized by high levels of uncertainty. In the case of complex resource management problems, the challenge is to extract meaningful information from data and make sense of it. Simultaneously, scientific knowledge alone is insufficient to change practice. Creating tools, and group decision support processes for end users to interact with data are key challenges to transforming science-based information into actionable knowledge. The ENCOMPASS project began as a multi-year case study in the Atacama Desert of Chile to design and implement a knowledge transfer model for energy-water-mining conflicts in the region. ENCOMPASS combines the use of cyberinfrastructure (CI), automated data collection, interactive interfaces for dynamic decision support, and participatory modelling to support social learning. A pilot version of the ENCOMPASS CI uses open source systems and serves as a structure to integrate and store multiple forms of data and knowledge, such as DEM, meteorological, water quality, geomicrobiological, energy demand, and groundwater models. In the case study, informatics and data fusion needs related to scientific uncertainty around deep groundwater flowpaths and energy-water connections. Users may upload data from field sites with handheld devices or desktops. Once uploaded, data assets are accessible for a variety of uses. To address multi-attributed decision problems in the Atacama region a standalone application with touch-enabled interfaces was created to improve real-time interactions with datasets by groups. The tool was used to merge datasets from the ENCOMPASS CI to support exploration among alternatives and build shared understanding among stakeholders. To date, the project has increased technical capacity among stakeholders, resulted in the creation of both for-profit and non-profit entities, enabled cross-sector collaboration with mining-indigenous stakeholders, and produced an interactive application for group decision support. ENCOMPASS leverages advances in computational tools to deliver data and models for group decision support applied to sustainability science problems.

"Fast" Is Not "Real-Time": Designing Effective Real-Time AI Systems

NASA Astrophysics Data System (ADS)

O'Reilly, Cindy A.; Cromarty, Andrew S.

1985-04-01

Realistic practical problem domains (such as robotics, process control, and certain kinds of signal processing) stand to benefit greatly from the application of artificial intelligence techniques. These problem domains are of special interest because they are typified by complex dynamic environments in which the ability to select and initiate a proper response to environmental events in real time is a strict prerequisite to effective environmental interaction. Artificial intelligence systems developed to date have been sheltered from this real-time requirement, however, largely by virtue of their use of simplified problem domains or problem representations. The plethora of colloquial and (in general) mutually inconsistent interpretations of the term "real-time" employed by workers in each of these domains further exacerbates the difficul-ties in effectively applying state-of-the-art problem solving tech-niques to time-critical problems. Indeed, the intellectual waters are by now sufficiently muddied that the pursuit of a rigorous treatment of intelligent real-time performance mandates the redevelopment of proper problem perspective on what "real-time" means, starting from first principles. We present a simple but nonetheless formal definition of real-time performance. We then undertake an analysis of both conventional techniques and AI technology with respect to their ability to meet substantive real-time performance criteria. This analysis provides a basis for specification of problem-independent design requirements for systems that would claim real-time performance. Finally, we discuss the application of these design principles to a pragmatic problem in real-time signal understanding.

NASA/ESA CV-990 Spacelab Simulation (ASSESS 2)

NASA Technical Reports Server (NTRS)

1977-01-01

Cost effective techniques for addressing management and operational activities on Spacelab were identified and analyzed during a ten day NASA-ESA cooperative mission with payload and flight responsibilities handled by the organization assigned for early Spacelabs. Topics discussed include: (1) management concepts and interface relationships; (2) experiment selection; (3) hardware development; (4) payload integration and checkout; (5) selection and training of mission specialists and payload specialists; (6) mission control center/payload operations control center interactions with ground and flight problems; (7) real time interaction during flight between principal investigators and the mission specialist/payload specialist flight crew; and (8) retrieval of scientific data and its analysis.

Beyond the Renderer: Software Architecture for Parallel Graphics and Visualization

NASA Technical Reports Server (NTRS)

Crockett, Thomas W.

1996-01-01

As numerous implementations have demonstrated, software-based parallel rendering is an effective way to obtain the needed computational power for a variety of challenging applications in computer graphics and scientific visualization. To fully realize their potential, however, parallel renderers need to be integrated into a complete environment for generating, manipulating, and delivering visual data. We examine the structure and components of such an environment, including the programming and user interfaces, rendering engines, and image delivery systems. We consider some of the constraints imposed by real-world applications and discuss the problems and issues involved in bringing parallel rendering out of the lab and into production.

Introduction to Color Imaging Science

NASA Astrophysics Data System (ADS)

Lee, Hsien-Che

2005-04-01

Color imaging technology has become almost ubiquitous in modern life in the form of monitors, liquid crystal screens, color printers, scanners, and digital cameras. This book is a comprehensive guide to the scientific and engineering principles of color imaging. It covers the physics of light and color, how the eye and physical devices capture color images, how color is measured and calibrated, and how images are processed. It stresses physical principles and includes a wealth of real-world examples. The book will be of value to scientists and engineers in the color imaging industry and, with homework problems, can also be used as a text for graduate courses on color imaging.

MatLab Programming for Engineers Having No Formal Programming Knowledge

NASA Technical Reports Server (NTRS)

Shaykhian, Linda H.; Shaykhian, Gholam Ali

2007-01-01

MatLab is one of the most widely used very high level programming languages for Scientific and engineering computations. It is very user-friendly and needs practically no formal programming knowledge. Presented here are MatLab programming aspects and not just the MatLab commands for scientists and engineers who do not have formal programming training and also have no significant time to spare for learning programming to solve their real world problems. Specifically provided are programs for visualization. Also, stated are the current limitations of the MatLab, which possibly can be taken care of by Mathworks Inc. in a future version to make MatLab more versatile.

The Model-Based View of Scientific Theories and the Structuring of School Science Programmes

ERIC Educational Resources Information Center

Develaki, Maria

2007-01-01

Model theory in contemporary philosophy of science interprets scientific theories as sets of models, and contributes significantly to the understanding of the relation between theories, models, and the real world. The clarification of this relation is fundamental for the understanding of the nature of scientific methods and scientific knowledge…

Real-Time Operation of the International Space Station

NASA Astrophysics Data System (ADS)

Suffredini, M. T.

2002-01-01

The International Space Station is on orbit and real-time operations are well underway. Along with the assembly challenges of building and operating the International Space Station , scientific activities are also underway. Flight control teams in three countries are working together as a team to plan, coordinate and command the systems on the International Space Station.Preparations are being made to add the additional International Partner elements including their operations teams and facilities. By October 2002, six Expedition crews will have lived on the International Space Station. Management of real-time operations has been key to these achievements. This includes the activities of ground teams in control centers around the world as well as the crew on orbit. Real-time planning is constantly challenged with balancing the requirements and setting the priorities for the assembly, maintenance, science and crew health functions on the International Space Station. It requires integrating the Shuttle, Soyuz and Progress requirements with the Station. It is also necessary to be able to respond in case of on-orbit anomalies and to set plans and commands in place to ensure the continues safe operation of the Station. Bringing together the International Partner operations teams has been challenging and intensely rewarding. Utilization of the assets of each partner has resulted in efficient solutions to problems. This paper will describe the management of the major real-time operations processes, significant achievements, and future challenges.

Computer Based Collaborative Problem Solving for Introductory Courses in Physics

NASA Astrophysics Data System (ADS)

Ilie, Carolina; Lee, Kevin

2010-03-01

We discuss collaborative problem solving computer-based recitation style. The course is designed by Lee [1], and the idea was proposed before by Christian, Belloni and Titus [2,3]. The students find the problems on a web-page containing simulations (physlets) and they write the solutions on an accompanying worksheet after discussing it with a classmate. Physlets have the advantage of being much more like real-world problems than textbook problems. We also compare two protocols for web-based instruction using simulations in an introductory physics class [1]. The inquiry protocol allowed students to control input parameters while the worked example protocol did not. We will discuss which of the two methods is more efficient in relation to Scientific Discovery Learning and Cognitive Load Theory. 1. Lee, Kevin M., Nicoll, Gayle and Brooks, Dave W. (2004). ``A Comparison of Inquiry and Worked Example Web-Based Instruction Using Physlets'', Journal of Science Education and Technology 13, No. 1: 81-88. 2. Christian, W., and Belloni, M. (2001). Physlets: Teaching Physics With Interactive Curricular Material, Prentice Hall, Englewood Cliffs, NJ. 3. Christian,W., and Titus,A. (1998). ``Developing web-based curricula using Java Physlets.'' Computers in Physics 12: 227--232.

Virtual Visualisation Laboratory for Science and Mathematics Content (Vlab-SMC) with Special Reference to Teaching and Learning of Chemistry

NASA Astrophysics Data System (ADS)

Badioze Zaman, Halimah; Bakar, Norashiken; Ahmad, Azlina; Sulaiman, Riza; Arshad, Haslina; Mohd. Yatim, Nor Faezah

Research on the teaching of science and mathematics in schools and universities have shown that available teaching models are not effective in instilling the understanding of scientific and mathematics concepts, and the right scientific and mathematics skills required for learners to become good future scientists (mathematicians included). The extensive development of new technologies has a marked influence on education, by facilitating the design of new learning and teaching materials, that can improve the attitude of learners towards Science and Mathematics and the plausibility of advanced interactive, personalised learning process. The usefulness of the computer in Science and Mathematics education; as an interactive communication medium that permits access to all types of information (texts, images, different types of data such as sound, graphics and perhaps haptics like smell and touch); as an instrument for problem solving through simulations of scientific and mathematics phenomenon and experiments; as well as measuring and monitoring scientific laboratory experiments. This paper will highlight on the design and development of the virtual Visualisation Laboratory for Science & Mathematics Content (VLab-SMC) based on the Cognitivist- Constructivist-Contextual development life cycle model as well as the Instructional Design (ID) model, in order to achieve its objectives in teaching and learning. However, this paper with only highlight one of the virtual labs within VLab-SMC that is, the Virtual Lab for teaching Chemistry (VLab- Chem). The development life cycle involves the educational media to be used, measurement of content, and the authoring and programming involved; whilst the ID model involves the application of the cognitivist, constructivist and contextual theories in the modeling of the modules of VLab-SMC generally and Vlab-Chem specifically, using concepts such as 'learning by doing', contextual learning, experimental simulations 3D and real-time animations to create a virtual laboratory based on a real laboratory. Initial preliminary study shows positive indicators of VLab-Chem for the teaching and learning of Chemistry on the topic of 'Salts and Acids'.

E-Labs - Learning with Authentic Data

DOE Office of Scientific and Technical Information (OSTI.GOV)

Bardeen, Marjorie G.; Wayne, Mitchell

the success teachers have had providing an opportunity for students to: • Organize and conduct authentic research. • Experience the environment of scientific collaborations. • Possibly make real contributions to a burgeoning scientific field. We've created projects that are problem-based, student driven and technology dependent. Students reach beyond classroom walls to explore data with other students and experts and share results, publishing original work to a worldwide audience. Students can discover and extend the research of other students, modeling the processes of modern, large-scale research projects. From start to finish e-Labs are student-led, teacher-guided projects. Students need only a Webmore » browser to access computing techniques employed by professional researchers. A Project Map with milestones allows students to set the research plan rather than follow a step-by-step process common in other online projects. Most importantly, e-Labs build the learning experience around the students' own questions and let them use the very tools that scientists use. Students contribute to and access shared data, most derived from professional research databases. They use common analysis tools, store their work and use metadata to discover, replicate and confirm the research of others. This is where real scientific collaboration begins. Using online tools, students correspond with other research groups, post comments and questions, prepare summary reports, and in general participate in the part of scientific research that is often left out of classroom experiments. Teaching tools such as student and teacher logbooks, pre- and post-tests and an assessment rubric aligned with learner outcomes help teachers guide student work. Constraints on interface designs and administrative tools such as registration databases give teachers the "one-stop-shopping" they seek for multiple e-Labs. Teaching and administrative tools also allow us to track usage and assess the impact on student learning.« less

Problem Based Learning and the scientific process

NASA Astrophysics Data System (ADS)

Schuchardt, Daniel Shaner

This research project was developed to inspire students to constructively use problem based learning and the scientific process to learn middle school science content. The student population in this study consisted of male and female seventh grade students. Students were presented with authentic problems that are connected to physical and chemical properties of matter. The intent of the study was to have students use the scientific process of looking at existing knowledge, generating learning issues or questions about the problems, and then developing a course of action to research and design experiments to model resolutions to the authentic problems. It was expected that students would improve their ability to actively engage with others in a problem solving process to achieve a deeper understanding of Michigan's 7th Grade Level Content Expectations, the Next Generation Science Standards, and a scientific process. Problem based learning was statistically effective in students' learning of the scientific process. Students statistically showed improvement on pre to posttest scores. The teaching method of Problem Based Learning was effective for seventh grade science students at Dowagiac Middle School.

The Dogma of "The" Scientific Method.

ERIC Educational Resources Information Center

Wivagg, Dan; Allchin, Douglas

2002-01-01

Points out major problems with the scientific method as a model for learning about methodology in science and suggests teaching about the scientists' toolbox to remedy problems with the conventional scientific method. (KHR)

Application of Metamorphic Testing to Supervised Classifiers

PubMed Central

Xie, Xiaoyuan; Ho, Joshua; Kaiser, Gail; Xu, Baowen; Chen, Tsong Yueh

2010-01-01

Many applications in the field of scientific computing - such as computational biology, computational linguistics, and others - depend on Machine Learning algorithms to provide important core functionality to support solutions in the particular problem domains. However, it is difficult to test such applications because often there is no “test oracle” to indicate what the correct output should be for arbitrary input. To help address the quality of such software, in this paper we present a technique for testing the implementations of supervised machine learning classification algorithms on which such scientific computing software depends. Our technique is based on an approach called “metamorphic testing”, which has been shown to be effective in such cases. More importantly, we demonstrate that our technique not only serves the purpose of verification, but also can be applied in validation. In addition to presenting our technique, we describe a case study we performed on a real-world machine learning application framework, and discuss how programmers implementing machine learning algorithms can avoid the common pitfalls discovered in our study. We also discuss how our findings can be of use to other areas outside scientific computing, as well. PMID:21243103

Optimization of Error-Bounded Lossy Compression for Hard-to-Compress HPC Data

DOE Office of Scientific and Technical Information (OSTI.GOV)

Di, Sheng; Cappello, Franck

Since today’s scientific applications are producing vast amounts of data, compressing them before storage/transmission is critical. Results of existing compressors show two types of HPC data sets: highly compressible and hard to compress. In this work, we carefully design and optimize the error-bounded lossy compression for hard-tocompress scientific data. We propose an optimized algorithm that can adaptively partition the HPC data into best-fit consecutive segments each having mutually close data values, such that the compression condition can be optimized. Another significant contribution is the optimization of shifting offset such that the XOR-leading-zero length between two consecutive unpredictable data points canmore » be maximized. We finally devise an adaptive method to select the best-fit compressor at runtime for maximizing the compression factor. We evaluate our solution using 13 benchmarks based on real-world scientific problems, and we compare it with 9 other state-of-the-art compressors. Experiments show that our compressor can always guarantee the compression errors within the user-specified error bounds. Most importantly, our optimization can improve the compression factor effectively, by up to 49% for hard-tocompress data sets with similar compression/decompression time cost.« less

Changing from computing grid to knowledge grid in life-science grid.

PubMed

Talukdar, Veera; Konar, Amit; Datta, Ayan; Choudhury, Anamika Roy

2009-09-01

Grid computing has a great potential to become a standard cyber infrastructure for life sciences that often require high-performance computing and large data handling, which exceeds the computing capacity of a single institution. Grid computer applies the resources of many computers in a network to a single problem at the same time. It is useful to scientific problems that require a great number of computer processing cycles or access to a large amount of data.As biologists,we are constantly discovering millions of genes and genome features, which are assembled in a library and distributed on computers around the world.This means that new, innovative methods must be developed that exploit the re-sources available for extensive calculations - for example grid computing.This survey reviews the latest grid technologies from the viewpoints of computing grid, data grid and knowledge grid. Computing grid technologies have been matured enough to solve high-throughput real-world life scientific problems. Data grid technologies are strong candidates for realizing a "resourceome" for bioinformatics. Knowledge grids should be designed not only from sharing explicit knowledge on computers but also from community formulation for sharing tacit knowledge among a community. By extending the concept of grid from computing grid to knowledge grid, it is possible to make use of a grid as not only sharable computing resources, but also as time and place in which people work together, create knowledge, and share knowledge and experiences in a community.

The History of the Planar Elastica: Insights into Mechanics and Scientific Method

NASA Astrophysics Data System (ADS)

Goss, Victor Geoffrey Alan

2009-08-01

Euler’s formula for the buckling of an elastic column is widely used in engineering design. However, only a handful of engineers will be familiar with Euler’s classic paper De Curvis Elasticis in which the formula is derived. In addition to the Euler Buckling Formula, De Curvis Elasticis classifies all the bent configurations of elastic rod—a landmark in the development of a rational theory of continuum mechanics. As a historical case study, Euler’s work on elastic rods offers an insight into some important concepts which underlie mechanics. It sheds light on the search for unifying principles of mechanics and the role of analysis. The connection between results obtained from theory and those obtained from experiments on rods, highlights two different approaches to scientific discovery, which can be traced back to Bacon, Descartes and Galileo. The bent rod also has an analogy in dynamics, with a pendulum, which highlights the crucial distinctions between initial value and boundary value problems and between linear and nonlinear differential equations. In addition to benefiting from the overview which a historical study provides, the particular problem of the elastica offers students of science and engineering a clear elucidation of the connection between mathematics and real-world engineering, issues which still have relevance today.

Theoretical and experimental fundamentals of designing promising technological equipment to improve efficiency and environmental safety of highly viscous oil recovery from deep oil reservoirs

NASA Astrophysics Data System (ADS)

Moiseyev, V. A.; Nazarov, V. P.; Zhuravlev, V. Y.; Zhuykov, D. A.; Kubrikov, M. V.; Klokotov, Y. N.

2016-12-01

The development of new technological equipment for the implementation of highly effective methods of recovering highly viscous oil from deep reservoirs is an important scientific and technical challenge. Thermal recovery methods are promising approaches to solving the problem. It is necessary to carry out theoretical and experimental research aimed at developing oil-well tubing (OWT) with composite heatinsulating coatings on the basis of basalt and glass fibers. We used the method of finite element analysis in Nastran software, which implements complex scientific and engineering calculations, including the calculation of the stress-strain state of mechanical systems, the solution of problems of heat transfer, the study of nonlinear static, the dynamic transient analysis of frequency characteristics, etc. As a result, we obtained a mathematical model of thermal conductivity which describes the steady-state temperature and changes in the fibrous highly porous material with the heat loss by Stefan-Boltzmann's radiation. It has been performed for the first time using the method of computer modeling in Nastran software environments. The results give grounds for further implementation of the real design of the OWT when implementing thermal methods for increasing the rates of oil production and mitigating environmental impacts.

Incorporating inquiry and the process of science into introductory astronomy labs at the George Washington University

NASA Astrophysics Data System (ADS)

Cobb, Bethany E.

2018-01-01

Since 2013, the Physics Department at GWU has used student-centered active learning in the introductory astronomy course “Introduction to the Cosmos.” Class time is spent in groups on questions, math problems, and hands-on activities, with multiple instructors circulating to answer questions and engage with the students. The students have responded positively to this active-learning. Unfortunately, in transitioning to active-learning there was no time to rewrite the labs. Very quickly, the contrast between the dynamic classroom and the traditional labs became apparent. The labs were almost uniformly “cookie-cutter” in that the procedure and analysis were specified step-by-step and there was just one right answer. Students rightly criticized the labs for lacking a clear purpose and including busy-work. Furthermore, this class fulfills the GWU scientific reasoning general education requirement and thus includes learning objectives related to understanding the scientific method, testing hypotheses with data, and considering uncertainty – but the traditional labs did not require these skills. I set out to rejuvenate the lab sequence by writing new inquiry labs based on both topic-specific and scientific reasoning learning objectives. While inquiry labs can be challenging for the students, as they require active thinking and creativity, these labs engage the students more thoroughly in the scientific process. In these new labs, whenever possible, I include real astronomical data and ask the students to use digital tools (SDSS SkyServer, SOHO archive) as if they are real astronomers. To allow students to easily plot, manipulate and analyze data, I built “smart” Excel files using formulas, dropdown menus and macros. The labs are now much more authentic and thought-provoking. Whenever possible, students independently develop questions, hypotheses, and procedures and the scientific method is “scaffolded” over the semester by providing more guidance in the early labs and more independence later on. Finally, in every lab, students must identify and reflect on sources of error. These labs are more challenging for the instructors to run and to grade, but they are much more satisfying when it comes to student learning.

Science policy in the Arab world

NASA Astrophysics Data System (ADS)

Khasawnih, Sami A.

1986-03-01

The paper gives an overview of recent trends in the development of policies and technology in the Arab world. It describes the problems that Arab policy-makers must address in order to set the Arab world on the road to scientific and technological self-reliance, with special emphasis on the shortcomings of the Arab education system and the problem of the brain drain. It also discusses the development of Arab policies on science and technology in the context of the need to democratize Arab society as a prerequisite to real advancement. And finally it surveys the efforts that Arab policy-makers have made in recent years to formulate coherent inter-Arab policies on science and technology. Arab national policy on science and technology for development must be formulated in accordance with the concepts of international co-operation and take full advantage of the vehicles for co-operation that exist today.

Evaluating the Effectiveness of the 2003-2004 NASA SCIence Files(trademark) Program

NASA Technical Reports Server (NTRS)

Caton, Randall H.; Ricles, Shannon S.; Pinelli, Thomas E.; Legg, Amy C.; Lambert, Matthew A.

2005-01-01

The NASA SCI Files is an Emmy award-winning series of instructional programs for grades 3-5. Produced by the NASA Center for Distance Learning, programs in the series are research-, inquiry-, standards-, teacher- and technology-based. Each NASA SCI Files program (1) integrates mathematics, science, and technology; (2) uses Problem-Based Learning (PBL) to enhance and enrich the teaching and learning of science; (3) emphasizes science as inquiry and the scientific method; (4) motivates students to become critical thinkers and active problem solvers; and (5) uses NASA research, facilities, and personnel to raise student awareness of careers and to exhibit the "real-world" application of mathematics, science, and technology. In April 2004, 1,500 randomly selected registered users of the NASA SCI Files were invited to complete a survey containing a series of questions. A total of 263 surveys were received. This report contains the quantitative and qualitative results of that survey.

Underworld results as a triple (shopping list, posterior, priors)

NASA Astrophysics Data System (ADS)

Quenette, S. M.; Moresi, L. N.; Abramson, D.

2013-12-01

When studying long-term lithosphere deformation and other such large-scale, spatially distinct and behaviour rich problems, there is a natural trade-off between the meaning of a model, the observations used to validate the model and the ability to compute over this space. For example, many models of varying lithologies, rheological properties and underlying physics may reasonably match (or not match) observables. To compound this problem, each realisation is computationally intensive, requiring high resolution, algorithm tuning and code tuning to contemporary computer hardware. It is often intractable to use sampling based assimilation methods, but with better optimisation, the window of tractability becomes wider. The ultimate goal is to find a sweet-spot where a formal assimilation method is used, and where a model affines to observations. Its natural to think of this as an inverse problem, in which the underlying physics may be fixed and the rheological properties and possibly the lithologies themselves are unknown. What happens when we push this approach and treat some portion of the underlying physics as an unknown? At its extreme this is an intractable problem. However, there is an analogy here with how we develop software for these scientific problems. What happens when we treat the changing part of a largely complete code as an unknown, where the changes are working towards this sweet-spot? When posed as a Bayesian inverse problem the result is a triple - the model changes, the real priors and the real posterior. Not only does this give meaning to the process by which a code changes, it forms a mathematical bridge from an inverse problem to compiler optimisations given such changes. As a stepping stone example we show a regional scale heat flow model with constraining observations, and the inverse process including increasingly complexity in the software. The implementation uses Underworld-GT (Underworld plus research extras to import geology and export geothermic measures, etc). Underworld uses StGermain an early (partial) implementation of the theories described here.

Recostructing the Physics Teaching Didactic based on Marzano’s Learning Dimension on Training the Scientific Literacies

NASA Astrophysics Data System (ADS)

Karim, S.; Prima, E. C.; Utari, S.; Saepuzaman, D.; Nugaha, M. G.

2017-02-01

Scientific literacy is currently considered as an important aspect supporting an useful citizenship ability for civilians inhabiting highly developed countries as well as developing countries. Consequently, certain countries recommended this scientific literacy to be applied at a national curricula. The PISA study showed the Indonesian scientific literacy level of 1, which means as just simple science phenomenon that could be exactly descibed by a student. This condition indicates that common science teachings do not optimally facillitate students to guide the scientific literacy. By proposing this research, the science didactic reconstruction will be offered in order to gain the students’ scientific literacy evaluated from the qualitative analysis of the action research and the students’ respons during learning science. The qualitative evaluation was developed based on the Marzano’s learning dimension about the scientific literacy. This research, involving 29 students as participants, analyzed the improved physics teaching didactic as described in the following sentences. The teaching reconstruction concerned a high attention to the development of the structural knowledge. The knowledge was acquired from a real phenomenon followed by giving the instructed questions as the second learning dimension. The third dimension of learning reconstruction aimed to provide the knowledge repetition on an appropriate science context. At the fourth dimension, the reconstruction should be improved in order to find the best treatment for the students. Hopefully, they can control the physical parameter and evaluate the result of their investigation related to the given science problems. It can be concluded that most of the students were interested in learning science. However, the productive learning didn’t accompany students to the Marzano’s second, third, and fourth learning dimensions.

1854-2014: 160 years of far-field tsunami detection and warning

NASA Astrophysics Data System (ADS)

Okal, Emile

2014-05-01

The first scientific study of a tsunami as generated by a distant earthquake can be traced to Bache [1856] who correctly identified waves from the 1854 Nankai earthquake on California tidal gauges. We will review developments in the study of the relationship between earthquake source and far field tsunami, with their logical application to distant warning. Among the principal milestones, we discuss Hochstetter's [1869] work on the 1868 Arica tsunami, Jaggar's real-time, but ignored, warning of the 1923 Kamchatka tsunami in Hawaii, his much greater success with the 1933 Showa Sanriku event, the catastrophic 1946 Aleutian event, which led to the implementation of PTWC, the 1960 events in Hilo, and the 1964 Alaska tsunami, which led to the development of the A[now N]TWC. From the scientific standpoint, we will review the evolution of our attempts to measure the seismic source (in practice its seismic moment), always faster, and at always lower frequencies, culminating in the W-phase inversion, heralded by Kanamori and co-workers in the wake of the Sumatra disaster. Specific problems arise from events violating scaling laws, such as the so-called "tsunami earthquakes", and we will review methodologies to recognize them in real time, such as energy-to-moment ratios. Finally, we will discuss briefly modern technologies aimed at directly detecting the tsunami independently of the seismic source.

Students' Reasoning Processes in Making Decisions about an Authentic, Local Socio-Scientific Issue: Bat Conservation

ERIC Educational Resources Information Center

Lee, Yeung Chung; Grace, Marcus

2010-01-01

Education for scientific literacy entails the development of scientific knowledge and the ability to apply this knowledge and value judgments to decisions about real-life issues. This paper reports an attempt to involve secondary level biology students in making decisions about an authentic socio-scientific issue--that of bat conservation--through…

From Planetary Imaging to Enzyme Screening

NASA Technical Reports Server (NTRS)

2006-01-01

Based in San Diego, KAIROS Scientific develops molecular biology methods, instrumentation, and computer algorithms to create solutions to challenging problems in the medical and chemical industries. company s pioneering efforts in digital imaging spectroscopy (DIS) enable researchers to obtain spectral and/or time-dependent information for each pixel or group of pixels in a two-dimensional scene. In addition to having Yang s NASA experience at its foundation, KAIROS Scientific was established with the support of many government grants and contracts. Its first was a NASA Small Business Innovation Research (SBIR) grant, from Ames Research Center, to develop HIRIM, a high-resolution imaging microscope embodying both novel hardware and software that can be used to simultaneously acquire hundreds of individual absorbance spectra from microscopic features. Using HIRIM s graphical user interface, MicroDIS, scientists and engineers are presented with a revolutionary new tool which enables them to point to a feature in an image and recall its associated spectrum in real time.

Non-linear mixed effects modeling - from methodology and software development to driving implementation in drug development science.

PubMed

Pillai, Goonaseelan Colin; Mentré, France; Steimer, Jean-Louis

2005-04-01

Few scientific contributions have made significant impact unless there was a champion who had the vision to see the potential for its use in seemingly disparate areas-and who then drove active implementation. In this paper, we present a historical summary of the development of non-linear mixed effects (NLME) modeling up to the more recent extensions of this statistical methodology. The paper places strong emphasis on the pivotal role played by Lewis B. Sheiner (1940-2004), who used this statistical methodology to elucidate solutions to real problems identified in clinical practice and in medical research and on how he drove implementation of the proposed solutions. A succinct overview of the evolution of the NLME modeling methodology is presented as well as ideas on how its expansion helped to provide guidance for a more scientific view of (model-based) drug development that reduces empiricism in favor of critical quantitative thinking and decision making.

The European Project Semester at ISEP: the challenge of educating global engineers

NASA Astrophysics Data System (ADS)

Malheiro, Benedita; Silva, Manuel; Ribeiro, Maria Cristina; Guedes, Pedro; Ferreira, Paulo

2015-05-01

Current engineering education challenges require approaches that promote scientific, technical, design and complementary skills while fostering autonomy, innovation and responsibility. The European Project Semester (EPS) at Instituto Superior de Engenharia do Porto (ISEP) (EPS@ISEP) is a one semester project-based learning programme (30 European Credit Transfer Units (ECTU)) for engineering students from diverse scientific backgrounds and nationalities that intends to address these goals. The students, organised in multidisciplinary and multicultural teams, are challenged to solve real multidisciplinary problems during one semester. The EPS package, although on project development (20 ECTU), includes a series of complementary seminars aimed at fostering soft, project-related and engineering transversal skills (10 ECTU). Hence, the students enrolled in this programme improve their transversal skills and learn, together and with the team of supervisors, subjects distinct from their core training. This paper presents the structure, implementation and results of the EPS@ISEP that was created in 2011 to apply the best engineering practices and promote internationalisation and engineering education innovation at ISEP.

Mathematical and Scientific Foundations for an Integrative Engineering Curriculum.

ERIC Educational Resources Information Center

Carr, Robin; And Others

1995-01-01

Describes the Mathematical and Scientific Foundations of Engineering curriculum which emphasizes the mathematical and scientific concepts common to all engineering fields. Scientists and engineers together devised topics and experiments that emphasize the relevance of theory to real-world applications. Presents material efficiently while building…

The impact of a student-teacher-scientist partnership (STSP) on students' and teachers' content knowledge and attitudes toward science

NASA Astrophysics Data System (ADS)

Houseal, Ana K.

Engaging elementary students in science through inquiry-based methodologies is at the center of science education reform efforts (AAAS, 1989, NRC 1996, 2000). Through scientific problem solving, students can learn that science is more than just learning facts and concepts (NRC, 2000) The process of scientific inquiry, as a way of approaching scientific problem solving, can be taught to students through experiential, authentic (or real-world) science experiences. Student-teacher-scientist partnerships (STSPs) are one vehicle used to connect students to these science experiences with practicing research scientists. However, the literature on STSPs demonstrates they are fraught with challenges and very little is known of their effects on teachers' and students' content knowledge growth or changes in their attitudes about science and scientists. This study addressed these two areas by researching a particular STSP. The STSP, called Students, Teachers, and Rangers and Research Scientists (STaRRS), designed to be incorporated into the existing long-standing education program Expedition: Yellowstone! (E:Y!) was the focus of this study. For teachers, a pre-test, intervention, post-test research design addressing content knowledge gains, attitude changes, and pedagogical changes was used. A quasi-experimental pre- post-test design using treatment and comparison groups of students addressed content knowledge gains and attitude changes. Findings provided evidence of significant positive shifts in teachers' attitudes regarding science and scientists, and trends of shifting pedagogical choices made by teachers. Students showed significant content knowledge gains and an increased positive attitude regarding their perceptions of scientists.

Problem-based learning: effects on student’s scientific reasoning skills in science

NASA Astrophysics Data System (ADS)

Wulandari, F. E.; Shofiyah, N.

2018-04-01

This research aimed to develop instructional package of problem-based learning to enhance student’s scientific reasoning from concrete to formal reasoning skills level. The instructional package was developed using the Dick and Carey Model. Subject of this study was instructional package of problem-based learning which was consisting of lesson plan, handout, student’s worksheet, and scientific reasoning test. The instructional package was tried out on 4th semester science education students of Universitas Muhammadiyah Sidoarjo by using the one-group pre-test post-test design. The data of scientific reasoning skills was collected by making use of the test. The findings showed that the developed instructional package reflecting problem-based learning was feasible to be implemented in classroom. Furthermore, through applying the problem-based learning, students could dominate formal scientific reasoning skills in terms of functionality and proportional reasoning, control variables, and theoretical reasoning.

Decreasing the supply of and demand for guns: Oakland's Youth Advocacy Project.

PubMed

Calhoun, Deane

2014-02-01

This paper is a case study of how Youth ALIVE!, a nonprofit public health organization, blended direct service and policy goals to reduce youth gun violence at a time when guns became the number one killer of children in California. Youth ALIVE! trained young people living in California communities with the highest rates of gun violence to become peer educators and leaders to reduce both the supply of, and demand for, guns. The youth presented health and criminal justice data in the context of their own experiences living in communities endangered by gun violence to help build public policy solutions, contributing to the subsequent drop in gun homicides. Youth ALIVE's vibrant grassroots model provides a real-life tableau of research and direct services working together to yield realistic policy solutions to a lethal public health problem. The youths' successes demonstrate how nonprofit direct service organizations are uniquely positioned to advocate for policy and regulatory changes that can be beneficial to both program participants and society. Direct service organizations' daily exposure to real-life client needs provides valuable insights for developing viable policies-plus highly motivated advocates. When backed by scientific findings on the causes of the problem, this synergy of youth participant engagement in civil society can promote good policy and build healthy communities.

A novel combined SLAM based on RBPF-SLAM and EIF-SLAM for mobile system sensing in a large scale environment.

PubMed

He, Bo; Zhang, Shujing; Yan, Tianhong; Zhang, Tao; Liang, Yan; Zhang, Hongjin

2011-01-01

Mobile autonomous systems are very important for marine scientific investigation and military applications. Many algorithms have been studied to deal with the computational efficiency problem required for large scale simultaneous localization and mapping (SLAM) and its related accuracy and consistency. Among these methods, submap-based SLAM is a more effective one. By combining the strength of two popular mapping algorithms, the Rao-Blackwellised particle filter (RBPF) and extended information filter (EIF), this paper presents a combined SLAM-an efficient submap-based solution to the SLAM problem in a large scale environment. RBPF-SLAM is used to produce local maps, which are periodically fused into an EIF-SLAM algorithm. RBPF-SLAM can avoid linearization of the robot model during operating and provide a robust data association, while EIF-SLAM can improve the whole computational speed, and avoid the tendency of RBPF-SLAM to be over-confident. In order to further improve the computational speed in a real time environment, a binary-tree-based decision-making strategy is introduced. Simulation experiments show that the proposed combined SLAM algorithm significantly outperforms currently existing algorithms in terms of accuracy and consistency, as well as the computing efficiency. Finally, the combined SLAM algorithm is experimentally validated in a real environment by using the Victoria Park dataset.

Ergonomics action research I: shifting from hypothesis testing to experiential learning.

PubMed

Neumann, W P; Dixon, S M; Ekman, M

2012-01-01

This paper presents the case for the need for 'Action Research' (AR) approaches to gain understanding of how ergonomics considerations can best be integrated into the design of new work systems. The AR researchers work collaboratively with other stakeholders to solve a real-world problem: gaining insight into the problem and factors influencing solution building from an embedded position in the development process. This experience is interpreted in terms of available theory and can support further theory development. This non-experimental approach can help provide practical new approaches for integrating ergonomics considerations into real work system design processes. The AR approach suffers from a lack of acceptance by conventionally trained scientists. This paper aims to help overcome this weakness by developing the underlying theory and rationale for using AR approaches in ergonomics research. We propose further development of hybrid approaches which incorporate other evaluation techniques to extend the knowledge gains from AR projects. Researchers should engage directly with organisations in ergonomics projects so that they can better understand the challenges and needs of practitioners who are trying to apply available scientific knowledge in their own unique context. Such 'Action Research' could help develop theory and approaches useful to improve mobilisation and application of ergonomics knowledge in organisations.

Geobrowser Enhanced Access of Real-Time Antarctic Data

NASA Astrophysics Data System (ADS)

Breen, P.; Judge, D.; Cunningham, N.; Kirsch, P. J.

2007-12-01

A proof of principle project was initiated in the Fall of 2006 to develop a system enabling remote field station and ship borne data, collected in near real-time to be discovered, visualised and acquired through a web accessible framework. The two principal enabling drivers for this system were the recent improvements in communications with remote field stations and ships and the advent of low cost, easily accessible geobrowser technology providing the ability to visualise multiple, sometimes physically disparate datasets within a common interface. Strongly spatial in nature the oceanographic datasets suggested the incorporation of geobrowser (Google Earth) technology into this framework. A number of scientific benefits were identified by the project, these include the overall enhancing of the value of many of the datasets through their real-time contribution to forecasting models, satellite ground truthing and calibration of autonomous instrumentation. Improved efficacy of fieldwork led to rapid discovery of problems and the ability to deal with them promptly. The ability to correct or improve experiment parameters and increase capability of routine collection of high-quality data. In the past it may have been over a year before data arrived back at HQ potentially unusable, definitely unrepeatable and significantly reducing or delaying scientific output. The geobrowser interface provides the platform from which the spatial data is discovered, for example ship tracks and aspects of the physical oceanography such as sea surface temperature can be directly visualized. Importantly, ancillary and auxiliary information and metadata can be linked to the cruise data in a straightforward and accessible manner; scientists in Cambridge using a geobrowser were able to access and visualize cruise data from the Southern ocean 20 minutes after collection.

Scientific Notation Watercolor

ERIC Educational Resources Information Center

Linford, Kyle; Oltman, Kathleen; Daisey, Peggy

2016-01-01

(Purpose) The purpose of this paper is to describe visual literacy, an adapted version of Visual Thinking Strategy (VTS), and an art-integrated middle school mathematics lesson about scientific notation. The intent of this lesson was to provide students with a real life use of scientific notation and exponents, and to motivate them to apply their…

Hands-on and Online: Scientific Explorations through Distance Learning

ERIC Educational Resources Information Center

Mawn, Mary V.; Carrico, Pauline; Charuk, Ken; Stote, Kim S.; Lawrence, Betty

2011-01-01

Laboratory experiments are often considered the defining characteristic of science courses. Such activities provide students with real-world contexts for applying scientific concepts, while also allowing them to develop scientific ways of thinking and promoting an interest in science. In recent years, an increasing number of campuses have moved…

Feedback control for manipulating magnetization in spin-exchange optical pumping system

NASA Astrophysics Data System (ADS)

Zhang, Ke; Li, Jun; Jiang, Min; Zhao, Nan; Peng, XinHua

2018-08-01

Control of magnetization plays an important role in the scientific and technological field of manipulating spin systems. In this work, we study the problem of manipulating nuclear magnetization in the spin-exchange optical pumping system, including accelerating the recovery of nuclear polarization and fixing it on a specific desired state. A real-time feedback control strategy is exploited here. We have also done some numerical simulations, with the results clearly demonstrating the effectiveness of our method, that the nuclear magnetization is able to be driven towards the equilibrium state at a much faster speed and also can be stabilized to a target state. We expect that our feedback control method can find applications in gyro experiments.

[Climatic change and skin: diagnostic and therapeutic challenges].

PubMed

Llamas-Velasco, M; García-Díez, A

2010-06-01

Scientifics are warning us about a global warming tendency and diminished rainfalls. Quantity, causes and human activity influence remain controversial. Warming could increase prevalence of some cutaneous pathology. Sensible skin and skin xerosis would be more prevalent if relative humidity decreases. Alterations of skin barrier;s function would increase seriousness and prevalence of atopic dermatitis. Furthermore, the higher UVB proportion reaching Earth's surface, in conjunction with increased sunbathing population habits, will increase cutaneous cancer and photoaging rates without a correct photoprotection. Also, habitats of some infectious diseases; vectors are changing. The facing of these problems will be a real challenge for the dermatologist, who will have a very important role on prevention, diagnoses and early treatment of them.

"You Can't Go on the Other Side of the Fence": Preservice Teachers and Real-World Problems

ERIC Educational Resources Information Center

Simic-Muller, Ksenija; Fernandes, Anthony; Felton-Koestler, Mathew D.

2016-01-01

Our study investigates preservice teachers' perceptions of real-world problems; their beliefs about teaching real-world contexts, especially ones sociopolitical in nature; and their ability to pose meaningful real-world problems. In this paper we present cases of three preservice teachers who participated in interviews that probed their thinking…

Authentic Research in the Classroom: NITARP Teachers Connect Astronomy with NGSS.

NASA Astrophysics Data System (ADS)

Pruett, Lee; Gibbs, John; Palmer, Robert; Young, Diedre; Gorjian, Varoujan

2016-01-01

The NASA/IPAC Teacher Archive Research Program (NITARP) uses authentic astronomical research to bring the Next Generation Science Standards (NGSS) into the classroom. The creation of the NGSS was a collaborative effort between teams composed of teachers, scientists and other professionals from twenty-six states. These standards provide a framework for the change in how science is taught at all levels from kindergarten to twelfth grade in participating states. Scientific concepts are grouped into broad categories (physical, biological and earth sciences), and call for an interdisciplinary approach to content, along with the integration of engineering practices into the curriculum. This approach to the teaching of science has led educators to place more emphasis on authentic learning and problem-solving in their curricula. Project-based learning is a strategy that can effectively allow students to learn core scientific concepts within the context of a focused and complex scientific problem.The NASA/IPAC Teacher Archive Research Program (NITARP) pairs teams of teachers and students with NASA astronomers. These teams are immersed in an astronomy research project over the course of the year, and are responsible for writing a project proposal, doing original research and presenting that research at a professional conference. The students who are involved in the NITARP research are provided with a rich hands-on experience that both exposes them to a deep understanding of an astronomical problem (and the core physics and math behind it), as well as the process of doing real science. The NITARP program offers a unique opportunity to bring project-based learning into K-12 science classrooms. We will highlight the ways in which this program has been implemented in classrooms across the country, as well as the connections to the NGSS.This research was made possible through the NASA/IPAC Teacher Archive Research Program (NITARP) and was funded by NASA Astrophysics Data Program.

Using Cloud-Hosted Real-time Data Services for the Geosciences (CHORDS) in a range of geoscience applications

NASA Astrophysics Data System (ADS)

Daniels, M. D.; Kerkez, B.; Chandrasekar, V.; Graves, S. J.; Stamps, D. S.; Dye, M. J.; Keiser, K.; Martin, C. L.; Gooch, S. R.

2016-12-01

Cloud-Hosted Real-time Data Services for the Geosciences, or CHORDS, addresses the ever-increasing importance of real-time scientific data, particularly in mission critical scenarios, where informed decisions must be made rapidly. Part of the broader EarthCube initiative, CHORDS seeks to investigate the role of real-time data in the geosciences. Many of the phenomenon occurring within the geosciences, ranging from hurricanes and severe weather, to earthquakes, volcanoes and floods, can benefit from better handling of real-time data. The National Science Foundation funds many small teams of researchers residing at Universities whose currently inaccessible measurements could contribute to a better understanding of these phenomenon in order to ultimately improve forecasts and predictions. This lack of easy accessibility prohibits advanced algorithm and workflow development that could be initiated or enhanced by these data streams. Often the development of tools for the broad dissemination of their valuable real-time data is a large IT overhead from a pure scientific perspective, and could benefit from an easy to use, scalable, cloud-based solution to facilitate access. CHORDS proposes to make a very diverse suite of real-time data available to the broader geosciences community in order to allow innovative new science in these areas to thrive. We highlight the recently developed CHORDS portal tools and processing systems aimed at addressing some of the gaps in handling real-time data, particularly in the provisioning of data from the "long-tail" scientific community through a simple interface deployed in the cloud. Examples shown include hydrology, atmosphere and solid earth sensors. Broad use of the CHORDS framework will expand the role of real-time data within the geosciences, and enhance the potential of streaming data sources to enable adaptive experimentation and real-time hypothesis testing. CHORDS enables real-time data to be discovered and accessed using existing standards for straightforward integration into analysis, visualization and modeling tools.

Remote Sensing Training for Middle School through the Center of Excellence in Remote Sensing Education

NASA Astrophysics Data System (ADS)

Hayden, L. B.; Johnson, D.; Baltrop, J.

2012-12-01

Remote sensing has steadily become an integral part of multiple disciplines, research, and education. Remote sensing can be defined as the process of acquiring information about an object or area of interest without physical contact. As remote sensing becomes a necessity in solving real world problems and scientific questions an important question to consider is why remote sensing training is significant to education and is it relevant to training students in this discipline. What has been discovered is the interest in Science, Technology, Engineering and Mathematics (STEM) fields, specifically remote sensing, has declined in our youth. The Center of Excellence in Remote Sensing Education and Research (CERSER) continuously strives to provide education and research opportunities on ice sheet, coastal, ocean, and marine science. One of those continued outreach efforts are Center for Remote Sensing of Ice Sheets (CReSIS) Middle School Program. Sponsored by the National Science Foundation CReSIS Middle School Program offers hands on experience for middle school students. CERSER and NSF offer students the opportunity to study and learn about remote sensing and its vital role in today's society as it relate to climate change and real world problems. The CReSIS Middle School Program is an annual two-week effort that offers middle school students experience with remote sensing and its applications. Specifically, participants received training with Global Positioning Systems (GPS) where the students learned the tools, mechanisms, and applications of a Garmin 60 GPS. As a part of the program the students were required to complete a fieldwork assignment where several longitude and latitude points were given throughout campus. The students had to then enter the longitude and latitude points into the Garmin 60 GPS, navigate their way to each location while also accurately reading the GPS to make sure travel was in the right direction. Upon completion of GPS training the students were able to understand the function of a GPS, how to analyze and comprehend longitude and latitude points, and the importance of GPS devices in real world applications. This paper describes in detail the methodology for organizing a learning environment where participants were able to compile, organize and analyze data, collaborate in a team environment, utilize the scientific method to draw conclusions based on the research they obtained. Various resources and training activities were developed to cultivate student participants' skill set. Students were presented with a problem where they had to develop a hypothesis or scientific question. After clearly defining the problem, it was necessary for the middle school participants to determine the data needed to complete an analysis and ascertain where that data can be found or generated. The training and events held for the CReSIS Middle School Program were proven successful for both these inquiring middle school students at Elizabeth City Middle School, River Road Middle School and the STEM representatives from Elizabeth City State University.Too often, students who live in rural communities or face economic disadvantages often miss out on getting access to important technology. Developing an interest in the STEM fields by a few students' would be considered a total success for the city, community, country, and world.

A tool for modeling concurrent real-time computation

NASA Technical Reports Server (NTRS)

Sharma, D. D.; Huang, Shie-Rei; Bhatt, Rahul; Sridharan, N. S.

1990-01-01

Real-time computation is a significant area of research in general, and in AI in particular. The complexity of practical real-time problems demands use of knowledge-based problem solving techniques while satisfying real-time performance constraints. Since the demands of a complex real-time problem cannot be predicted (owing to the dynamic nature of the environment) powerful dynamic resource control techniques are needed to monitor and control the performance. A real-time computation model for a real-time tool, an implementation of the QP-Net simulator on a Symbolics machine, and an implementation on a Butterfly multiprocessor machine are briefly described.

Run-time parallelization and scheduling of loops

NASA Technical Reports Server (NTRS)

Saltz, Joel H.; Mirchandaney, Ravi; Baxter, Doug

1988-01-01

The class of problems that can be effectively compiled by parallelizing compilers is discussed. This is accomplished with the doconsider construct which would allow these compilers to parallelize many problems in which substantial loop-level parallelism is available but cannot be detected by standard compile-time analysis. We describe and experimentally analyze mechanisms used to parallelize the work required for these types of loops. In each of these methods, a new loop structure is produced by modifying the loop to be parallelized. We also present the rules by which these loop transformations may be automated in order that they be included in language compilers. The main application area of the research involves problems in scientific computations and engineering. The workload used in our experiment includes a mixture of real problems as well as synthetically generated inputs. From our extensive tests on the Encore Multimax/320, we have reached the conclusion that for the types of workloads we have investigated, self-execution almost always performs better than pre-scheduling. Further, the improvement in performance that accrues as a result of global topological sorting of indices as opposed to the less expensive local sorting, is not very significant in the case of self-execution.

Algebraic criteria for positive realness relative to the unit circle.

NASA Technical Reports Server (NTRS)

Siljak, D. D.

1973-01-01

A definition is presented of the circle positive realness of real rational functions relative to the unit circle in the complex variable plane. The problem of testing this kind of positive reality is reduced to the algebraic problem of determining the distribution of zeros of a real polynomial with respect to and on the unit circle. Such reformulation of the problem avoids the search for explicit information about imaginary poles of rational functions. The stated algebraic problem is solved by applying the polynomial criteria of Marden (1966) and Jury (1964), and a completely recursive algorithm for circle positive realness is obtained.

Ethics Workshop Sheds Light on Gray Areas

NASA Astrophysics Data System (ADS)

Townsend, Randy; Williams, Billy

2014-02-01

AGU's Scientific Integrity and Professional Ethics Workshop at the 2013 Fall Meeting, held on 9 December, highlighted the courageous conversations necessary to navigate through questions of scientific integrity and professional ethics. Participants debated real-world scenarios surrounding authorship, data management, plagiarism, and conflicts of interest. These discussions emphasized the importance of preserving scientific integrity and the responsibility of each member to uphold the standards of scientific conduct.

An Ethnomethodological Perspective on How Middle School Students Addressed a Water Quality Problem

ERIC Educational Resources Information Center

Belland, Brian R.; Gu, Jiangyue; Kim, Nam Ju; Turner, David J.

2016-01-01

Science educators increasingly call for students to address authentic scientific problems in science class. One form of authentic science problem--socioscientific issue--requires that students engage in complex reasoning by considering both scientific and social implications of problems. Computer-based scaffolding can support this process by…

[Ethics in clinical practice and in health care].

PubMed

Pintor, S; Mennuni, G; Fontana, M; Nocchi, S; Giarrusso, P; Serio, A; Fraioli, A

2015-01-01

The clinical ethics is the identification, analysis and solution of moral problems that can arise during the care of a patient. Given that when dealing with ethical issues in health care some risks will be encountered (talking about ethics in general, or as a problem overlapped with others in this area, or by delegation to legislative determinations) in the text certain important aspects of the topic are examined. First of all ethics as human quality of the relationship between people for the common good, especially in health services where there are serious problems like the life and the health. It is also necessary a "humanizing relationship" between those who work in these services in order to achieve quality and efficiency in this business. It is important a proper training of health professionals, especially doctors, so that they can identify the real needs and means of intervention. It is also important that scientific research must respect fundamental ethical assumptions. In conclusion, ethics in health care is not a simple matter of "cookbook" rules, but involves the responsibility and consciousness of individual operators.

Real and Virtual Heritage - The Plate Archive of Sonneberg Observatory - Digitisation, Preservation and Scientific Programme

NASA Astrophysics Data System (ADS)

Kroll, Peter

The real heritage of Sonneberg Observatory consists of several buildings with seven domes, a number of telescopes for photographic and photoelectric measurements, a plate archive - which is the second-largest in the world - and a scientific library. While the instruments are today mainly used for public observing tours and to a limited degree for continuing sky patrol, the plate archive is systematically scanned in order to make the whole information stored in the emulsion of the plates accessible to the astronomical community and to allow the scientific study of all stars ever recorded. First pilot studies give a taste of what output can be expected from the digitized plate archive.

Research and Teaching: Undergraduate Students' Scientifically Informed Decision Making about Socio-Hydrological Issues

ERIC Educational Resources Information Center

Sabel, Jaime L.; Vo, Tina; Alred, Ashley; Dauer, Jenny M.; Forbes, Cory T.

2017-01-01

Although knowledge of disciplinary concepts and epistemic understanding of science are foundations of scientific literacy, students must learn to apply their knowledge to real-world situations. To engage effectively with contemporary water-related challenges with scientific and social dimensions, students need to understand the properties of water…

Measuring the Level of Complexity of Scientific Inquiries: The LCSI Index

ERIC Educational Resources Information Center

Eilam, Efrat

2015-01-01

The study developed and applied an index for measuring the level of complexity of full authentic scientific inquiry. Complexity is a fundamental attribute of real life scientific research. The level of complexity is an overall reflection of complex cognitive and metacognitive processes which are required for navigating the authentic inquiry…

Model Based Reasoning by Introductory Students When Analyzing Earth Systems and Societal Challenges

NASA Astrophysics Data System (ADS)

Holder, L. N.; Herbert, B. E.

2014-12-01

Understanding how students use their conceptual models to reason about societal challenges involving societal issues such as natural hazard risk assessment, environmental policy and management, and energy resources can improve instructional activity design that directly impacts student motivation and literacy. To address this question, we created four laboratory exercises for an introductory physical geology course at Texas A&M University that engages students in authentic scientific practices by using real world problems and issues that affect societies based on the theory of situated cognition. Our case-study design allows us to investigate the various ways that students utilize model based reasoning to identify and propose solutions to societally relevant issues. In each of the four interventions, approximately 60 students in three sections of introductory physical geology were expected to represent and evaluate scientific data, make evidence-based claims about the data trends, use those claims to express conceptual models, and use their models to analyze societal challenges. Throughout each step of the laboratory exercise students were asked to justify their claims, models, and data representations using evidence and through the use of argumentation with peers. Cognitive apprenticeship was the foundation for instruction used to scaffold students so that in the first exercise they are given a partially completed model and in the last exercise students are asked to generate a conceptual model on their own. Student artifacts, including representation of earth systems, representation of scientific data, verbal and written explanations of models and scientific arguments, and written solutions to specific societal issues or environmental problems surrounding earth systems, were analyzed through the use of a rubric that modeled authentic expertise and students were sorted into three categories. Written artifacts were examined to identify student argumentation and justifications of solutions through the use of evidence and reasoning. Higher scoring students justified their solutions through evidence-based claims, while lower scoring students typically justified their solutions using anecdotal evidence, emotional ideologies, and naive and incomplete conceptions of earth systems.

Retractions in the scientific literature: is the incidence of research fraud increasing?

PubMed

Steen, R Grant

2011-04-01

Scientific papers are retracted for many reasons including fraud (data fabrication or falsification) or error (plagiarism, scientific mistake, ethical problems). Growing attention to fraud in the lay press suggests that the incidence of fraud is increasing. The reasons for retracting 742 English language research papers retracted from the PubMed database between 2000 and 2010 were evaluated. Reasons for retraction were initially dichotomised as fraud or error and then analysed to determine specific reasons for retraction. Error was more common than fraud (73.5% of papers were retracted for error (or an undisclosed reason) vs 26.6% retracted for fraud). Eight reasons for retraction were identified; the most common reason was scientific mistake in 234 papers (31.5%), but 134 papers (18.1%) were retracted for ambiguous reasons. Fabrication (including data plagiarism) was more common than text plagiarism. Total papers retracted per year have increased sharply over the decade (r=0.96; p<0.001), as have retractions specifically for fraud (r=0.89; p<0.001). Journals now reach farther back in time to retract, both for fraud (r=0.87; p<0.001) and for scientific mistakes (r=0.95; p<0.001). Journals often fail to alert the naïve reader; 31.8% of retracted papers were not noted as retracted in any way. Levels of misconduct appear to be higher than in the past. This may reflect either a real increase in the incidence of fraud or a greater effort on the part of journals to police the literature. However, research bias is rarely cited as a reason for retraction.

INSA Scientific Activities in the Space Astronomy Area

NASA Astrophysics Data System (ADS)

Pérez Martínez, Ricardo; Sánchez Portal, Miguel

Support to astronomy operations is an important and long-lived activity within INSA. Probably the best known (and traditional) INSA activities are those related with real-time spacecraft operations: ground station maintenance and operation (ground station engineers and operators); spacecraft and payload real-time operation (spacecraft and instruments controllers); computing infrastructure maintenance (operators, analysts), and general site services. In this paper, we’ll show a different perspective, probably not so well-known, presenting some INSA recent activities at the European Space Astronomy Centre (ESAC) and NASA Madrid Deep Space Communication Complex (MDSCC) directly related to scientific operations. Basic lines of activity involved include: operations support for science operations; system and software support for real time systems; technical administration and IT support; R&D activities, radioastronomy (at MDSCC and ESAC), and scientific research projects. This paper is structured as follows: first, INSA activities in two ESA cornerstone astrophysics missions, XMM-Newton and Herschel, will be outlined. Then, our activities related to scientific infrastructure services, represented by the Virtual Observatory (VO) framework and the Science Archives development facilities, are briefly shown. Radio astronomy activities will be described afterwards, and, finally, a few research topics in which INSA scientists are involved will also be described.

Steady-State ALPS for Real-Valued Problems

NASA Technical Reports Server (NTRS)

Hornby, Gregory S.

2009-01-01

The two objectives of this paper are to describe a steady-state version of the Age-Layered Population Structure (ALPS) Evolutionary Algorithm (EA) and to compare it against other GAs on real-valued problems. Motivation for this work comes from our previous success in demonstrating that a generational version of ALPS greatly improves search performance on a Genetic Programming problem. In making steady-state ALPS some modifications were made to the method for calculating age and the method for moving individuals up layers. To demonstrate that ALPS works well on real-valued problems we compare it against CMA-ES and Differential Evolution (DE) on five challenging, real-valued functions and on one real-world problem. While CMA-ES and DE outperform ALPS on the two unimodal test functions, ALPS is much better on the three multimodal test problems and on the real-world problem. Further examination shows that, unlike the other GAs, ALPS maintains a genotypically diverse population throughout the entire search process. These findings strongly suggest that the ALPS paradigm is better able to avoid premature convergence then the other GAs.

Contaminant plume configuration and movement: an experimental model

NASA Astrophysics Data System (ADS)

Alencoao, A.; Reis, A.; Pereira, M. G.; Liberato, M. L. R.; Caramelo, L.; Amraoui, M.; Amorim, V.

2009-04-01

The relevance of Science and Technology in our daily routines makes it compulsory to educate citizens who have both scientific literacy and scientific knowledge. These will allow them to be intervening citizens in a constantly changing society. Thus, physical and natural sciences are included in school curricula, both in primary and secondary education, with the fundamental aim of developing in the students the skills, attitudes and knowledge needed for the understanding of the planet Earth and its real problems. On the other hand, teaching in Geosciences is more and more based on practical methodologies which use didactic material, sustaining teachers' pedagogical practices and facilitating students' learning tasks suggested on the syllabus defined for each school level. Themes related to exploring the different components of the Hydrological Cycle and themes related to natural environment protection and preservation, namely water resources and soil contamination by industrial and urban sewage are examples of subject matters included on the Portuguese syllabus. These topics motivated the conception and construction of experimental models for the study of the propagation of pollutants on a porous medium. The experimental models allow inducing a horizontal flux of water though different kinds of permeable substances (e.g. sand, silt), with contamination spots on its surface. These experimental activities facilitate the student to understand the flow path of contaminating substances on the saturated zone and to observe the contaminant plume configuration and movement. The activities are explored in a teaching and learning process perspective where the student builds its own knowledge through real question- problem based learning which relate Science, Technology and Society. These activities have been developed in the framework of project ‘Water in the Environment' (CV/PVI/0854) of the POCTI Program (Programa Operacional "Ciência, Tecnologia, Inovação") financed by the Portuguese Fundation for Science and Tecnology and FEDER Program.

Use of Common-Sense Knowledge, Language and Reality in Mathematical Word Problem Solving

ERIC Educational Resources Information Center

Sepeng, Percy

2014-01-01

The study reported in this article sought to explore and observe how grade 9 learners solve real-wor(l)d problems (a) without real context and (b) without real meaning. Learners' abilities to make sense of the decontextualised word problems set in the real world were investigated with regard to learners' use of common sense in relation to problem…

Earth System Science Education Modules

NASA Astrophysics Data System (ADS)

Hall, C.; Kaufman, C.; Humphreys, R. R.; Colgan, M. W.

2009-12-01

The College of Charleston is developing several new geoscience-based education modules for integration into the Earth System Science Education Alliance (ESSEA). These three new modules provide opportunities for science and pre-service education students to participate in inquiry-based, data-driven experiences. The three new modules will be discussed in this session. Coastal Crisis is a module that analyzes rapidly changing coastlines and uses technology - remotely sensed data and geographic information systems (GIS) to delineate, understand and monitor changes in coastal environments. The beaches near Charleston, SC are undergoing erosion and therefore are used as examples of rapidly changing coastlines. Students will use real data from NASA, NOAA and other federal agencies in the classroom to study coastal change. Through this case study, learners will acquire remotely sensed images and GIS data sets from online sources, utilize those data sets within Google Earth or other visualization programs, and understand what the data is telling them. Analyzing the data will allow learners to contemplate and make predictions on the impact associated with changing environmental conditions, within the context of a coastal setting. To Drill or Not To Drill is a multidisciplinary problem based module to increase students’ knowledge of problems associated with nonrenewable resource extraction. The controversial topic of drilling in the Arctic National Wildlife Refuge (ANWR) examines whether the economic benefit of the oil extracted from ANWR is worth the social cost of the environmental damage that such extraction may inflict. By attempting to answer this question, learners must balance the interests of preservation with the economic need for oil. The learners are exposed to the difficulties associated with a real world problem that requires trade-off between environmental trust and economic well-being. The Citizen Science module challenges students to translate scientific information into words that are understandable and useful for policy makers and other stakeholders. The inability of scientists to effectively communicate with the public has been highlighted as a major reason for the anti-science attitude of a large segment of the public. This module, unlike other ESSEA modules, addresses this problem by first, investigating a global change environmental problem using Earth System Science methodologies, then developing several solutions to that problem, and finally writing a position paper for the policy makers to use. These three hands-on, real-world modules that engage students in authentic research share similar goals: 1) to use global change data sets to examine controversial environmental problems; 2) to use an earth system science approach to understand the complexity of global problems; and 3) to help students understand the political complexity of environmental problems where there is a clash between economic and ecological problems. The curriculum will meet National Standards in science, geography, math, etc.

[About History of Scientific Clinical Schools in Russia: Certain Disputable Issues of Methodology of Studying Problem].

PubMed

Borodulin, V I; Gliantsev, S P

2017-07-01

The article considers particular key methodological aspects of problem of scientific clinical school in national medicine. These aspects have to do with notion of school, its profile, issues of pedagogues, teachings and followers, subsidiary schools and issue of ethical component of scientific school. The article is a polemic one hence one will find no definite answers to specified questions. The reader is proposed to ponder over answers independently adducing examples of pro and contra. The conclusion is made about necessity of studying scientific schools in other areas of medicine and further elaboration of problem.

A Cost Assessment of the Dayton Public Schools Vehicle Routing Problem

DTIC Science & Technology

2009-03-01

known problems: the Traveling Salesman Problem (TSP) and the Bin Packing Problem ( BPP ) (Ralphs, 2003). The VRP has a plethora of real world...well known problems: the Traveling Salesman Problem (TSP) and the Bin Packing Problem ( BPP ) (Ralphs, 2003). The VRP has a plethora of real world

Examining the Relationship of Scientific Reasoning with Physics Problem Solving

ERIC Educational Resources Information Center

Fabby, Carol; Koenig, Kathleen

2015-01-01

Recent research suggests students with more formal reasoning patterns are more proficient learners. However, little research has been done to establish a relationship between scientific reasoning and problem solving abilities by novices. In this exploratory study, we compared scientific reasoning abilities of students enrolled in a college level…

Exploring Local Approaches to Communicating Global Climate Change Information

NASA Astrophysics Data System (ADS)

Stevermer, A. J.

2002-12-01

Expected future climate changes are often presented as a global problem, requiring a global solution. Although this statement is accurate, communicating climate change science and prospective solutions must begin at local levels, each with its own subset of complexities to be addressed. Scientific evaluation of local changes can be complicated by large variability occurring over small spatial scales; this variability hinders efforts both to analyze past local changes and to project future ones. The situation is further encumbered by challenges associated with scientific literacy in the U.S., as well as by pressing economic difficulties. For people facing real-life financial and other uncertainties, a projected ``1.4 to 5.8 degrees Celsius'' rise in global temperature is likely to remain only an abstract concept. Despite this lack of concreteness, recent surveys have found that most U.S. residents believe current global warming science, and an even greater number view the prospect of increased warming as at least a ``somewhat serious'' problem. People will often be able to speak of long-term climate changes in their area, whether observed changes in the amount of snow cover in winter, or in the duration of extreme heat periods in summer. This work will explore the benefits and difficulties of communicating climate change from a local, rather than global, perspective, and seek out possible strategies for making less abstract, more concrete, and most importantly, more understandable information available to the public.

Information-educational environment with adaptive control of learning process

NASA Astrophysics Data System (ADS)

Modjaev, A. D.; Leonova, N. M.

2017-01-01

Recent years, a new scientific branch connected with the activities in social sphere management developing intensively and it is called "Social Cybernetics". In the framework of this scientific branch, theory and methods of management of social sphere are formed. Considerable attention is paid to the management, directly in real time. However, the decision of such management tasks is largely constrained by the lack of or insufficiently deep study of the relevant sections of the theory and methods of management. The article discusses the use of cybernetic principles in solving problems of control in social systems. Applying to educational activities a model of composite interrelated objects representing the behaviour of students at various stages of educational process is introduced. Statistical processing of experimental data obtained during the actual learning process is being done. If you increase the number of features used, additionally taking into account the degree and nature of variability of levels of current progress of students during various types of studies, new properties of students' grouping are discovered. L-clusters were identified, reflecting the behaviour of learners with similar characteristics during lectures. It was established that the characteristics of the clusters contain information about the dynamics of learners' behaviour, allowing them to be used in additional lessons. The ways of solving the problem of adaptive control based on the identified dynamic characteristics of the learners are planned.

A Class of High-Resolution Explicit and Implicit Shock-Capturing Methods

NASA Technical Reports Server (NTRS)

Yee, H. C.

1994-01-01

The development of shock-capturing finite difference methods for hyperbolic conservation laws has been a rapidly growing area for the last decade. Many of the fundamental concepts, state-of-the-art developments and applications to fluid dynamics problems can only be found in meeting proceedings, scientific journals and internal reports. This paper attempts to give a unified and generalized formulation of a class of high-resolution, explicit and implicit shock capturing methods, and to illustrate their versatility in various steady and unsteady complex shock waves, perfect gases, equilibrium real gases and nonequilibrium flow computations. These numerical methods are formulated for the purpose of ease and efficient implementation into a practical computer code. The various constructions of high-resolution shock-capturing methods fall nicely into the present framework and a computer code can be implemented with the various methods as separate modules. Included is a systematic overview of the basic design principle of the various related numerical methods. Special emphasis will be on the construction of the basic nonlinear, spatially second and third-order schemes for nonlinear scalar hyperbolic conservation laws and the methods of extending these nonlinear scalar schemes to nonlinear systems via the approximate Riemann solvers and flux-vector splitting approaches. Generalization of these methods to efficiently include real gases and large systems of nonequilibrium flows will be discussed. Some perbolic conservation laws to problems containing stiff source terms and terms and shock waves are also included. The performance of some of these schemes is illustrated by numerical examples for one-, two- and three-dimensional gas-dynamics problems. The use of the Lax-Friedrichs numerical flux to obtain high-resolution shock-capturing schemes is generalized. This method can be extended to nonlinear systems of equations without the use of Riemann solvers or flux-vector splitting approaches and thus provides a large savings for multidimensional, equilibrium real gases and nonequilibrium flow computations.

The dual-use problem, scientific isolationism and the division of moral labour.

PubMed

Douglas, Thomas

2014-01-01

The dual-use problem is an ethical quandary sometimes faced by scientists and others in a position to influence the creation or dissemination of scientific knowledge. It arises when (i) an agent is considering whether to pursue some project likely to result in the creation or dissemination of scientific knowledge, (ii) that knowledge could be used in both morally desirable and morally undesirable ways, and (iii) the risk of undesirable use is sufficiently high that it is not clear that the agent may permissibly pursue the project or policy. Agents said to be faced with dual-use problems have frequently responded by appealing to a view that I call scientific isolationism. This is, roughly, the view that scientific decisions may be made without morally appraising the likely uses of the scientific knowledge whose production or dissemination is at stake. I consider whether scientific isolationism can be justified in a form that would indeed provide a way out of dual-use problems. I first argue for a presumption against a strong form of isolationism, and then examine four arguments that might be thought to override this presumption. The most promising of these arguments appeals to the idea of a division of moral labour, but I argue that even this argument can sustain at most a highly attenuated form of scientific isolationism and that this variant of isolationism has little practical import for discussions of the dual-use problem.

Learning from Dealing with Real World Problems

ERIC Educational Resources Information Center

Akcay, Hakan

2017-01-01

The purpose of this article is to provide an example of using real world issues as tools for science teaching and learning. Using real world issues provides students with experiences in learning in problem-based environments and encourages them to apply their content knowledge to solving current and local problems.

Science Spots AR: A Platform for Science Learning Games with Augmented Reality

ERIC Educational Resources Information Center

Laine, Teemu H.; Nygren, Eeva; Dirin, Amir; Suk, Hae-Jung

2016-01-01

Lack of motivation and of real-world relevance have been identified as reasons for low interest in science among children. Game-based learning and storytelling are prominent methods for generating intrinsic motivation in learning. Real-world relevance requires connecting abstract scientific concepts with the real world. This can be done by…

Real Science, Real Classrooms

ERIC Educational Resources Information Center

Parker, Becky

2017-01-01

The Institute for Research in Schools (IRIS) was set up to give science students the opportunity to work on cutting-edge research projects. Teachers and students can access data and equipment that enable them to tackle real-life issues. As a result, not only do students gain in confidence and experience in their scientific work, they are also able…

The effect of Think Pair Share (TPS) using scientific approach on students’ self-confidence and mathematical problem-solving

NASA Astrophysics Data System (ADS)

Rifa’i, A.; Lestari, H. P.

2018-03-01

This study was designed to know the effects of Think Pair Share using Scientific Approach on students' self-confidence and mathematical problem-solving. Quasi-experimental with pre-test post-test non-equivalent group method was used as a basis for design this study. Self-confidence questionnaire and problem-solving test have been used for measurement of the two variables. Two classes of the first grade in religious senior high school (MAN) in Indonesia were randomly selected for this study. Teaching sequence and series from mathematics book at control group in the traditional way and at experiment group has been in TPS using scientific approach learning method. For data analysis regarding students’ problem-solving skill and self-confidence, One-Sample t-Test, Independent Sample t-Test, and Multivariate of Variance (MANOVA) were used. The results showed that (1) TPS using a scientific approach and traditional learning had positive effects (2) TPS using scientific approach learning in comparative with traditional learning had a more significant effect on students’ self-confidence and problem-solving skill.

Enhancing insight in scientific problem solving by highlighting the functional features of prototypes: an fMRI study.

PubMed

Hao, Xin; Cui, Shuai; Li, Wenfu; Yang, Wenjing; Qiu, Jiang; Zhang, Qinglin

2013-10-09

Insight can be the first step toward creating a groundbreaking product. As evident in anecdotes and major inventions in history, heuristic events (heuristic prototypes) prompted inventors to acquire insight when solving problems. Bionic imitation in scientific innovation is an example of this kind of problem solving. In particular, heuristic prototypes (e.g., the lotus effect; the very high water repellence exhibited by lotus leaves) help solve insight problems (e.g., non-stick surfaces). We speculated that the biological functional feature of prototypes is a critical factor in inducing insightful scientific problem solving. In this functional magnetic resonance imaging (fMRI) study, we selected scientific innovation problems and utilized "learning prototypes-solving problems" two-phase paradigm to test the supposition. We also explored its neural mechanisms. Functional MRI data showed that the activation of the middle temporal gyrus (MTG, BA 37) and the middle occipital gyrus (MOG, BA 19) were associated with the highlighted functional feature condition. fMRI data also indicated that the MTG (BA 37) could be responsible for the semantic processing of functional features and for the formation of novel associations based on related functions. In addition, the MOG (BA 19) could be involved in the visual imagery of formation and application of function association between the heuristic prototype and problem. Our findings suggest that both semantic processing and visual imagery could be crucial components underlying scientific problem solving. © 2013 Elsevier B.V. All rights reserved.

Online Social Networking and Addiction—A Review of the Psychological Literature

PubMed Central

Kuss, Daria J.; Griffiths, Mark D.

2011-01-01

Social Networking Sites (SNSs) are virtual communities where users can create individual public profiles, interact with real-life friends, and meet other people based on shared interests. They are seen as a ‘global consumer phenomenon’ with an exponential rise in usage within the last few years. Anecdotal case study evidence suggests that ‘addiction’ to social networks on the Internet may be a potential mental health problem for some users. However, the contemporary scientific literature addressing the addictive qualities of social networks on the Internet is scarce. Therefore, this literature review is intended to provide empirical and conceptual insight into the emerging phenomenon of addiction to SNSs by: (1) outlining SNS usage patterns, (2) examining motivations for SNS usage, (3) examining personalities of SNS users, (4) examining negative consequences of SNS usage, (5) exploring potential SNS addiction, and (6) exploring SNS addiction specificity and comorbidity. The findings indicate that SNSs are predominantly used for social purposes, mostly related to the maintenance of established offline networks. Moreover, extraverts appear to use social networking sites for social enhancement, whereas introverts use it for social compensation, each of which appears to be related to greater usage, as does low conscientiousness and high narcissism. Negative correlates of SNS usage include the decrease in real life social community participation and academic achievement, as well as relationship problems, each of which may be indicative of potential addiction. PMID:22016701

Making research relevant? Ecological methods and the ecosystem services framework

NASA Astrophysics Data System (ADS)

Root-Bernstein, Meredith; Jaksic, Fabián. M.

2017-07-01

We examine some unexpected epistemological conflicts that arise at the interfaces between ecological science, the ecosystem services framework, policy, and industry. We use an example from our own research to motivate and illustrate our main arguments, while also reviewing standard approaches to ecological science using the ecosystem services framework. While we agree that the ecosystem services framework has benefits in its industrial applications because it may force economic decision makers to consider a broader range of costs and benefits than they would do otherwise, we find that many alignments of ecology with the ecosystem services framework are asking questions that are irrelevant to real-world applications, and generating data that does not serve real-world applications. We attempt to clarify why these problems arise and how to avoid them. We urge fellow ecologists to reflect on the kind of research that can lead to both scientific advances and applied relevance to society. In our view, traditional empirical approaches at landscape scales or with place-based emphases are necessary to provide applied knowledge for problem solving, which is needed once decision makers identify risks to ecosystem services. We conclude that the ecosystem services framework is a good policy tool when applied to decision-making contexts, but not a good theory either of social valuation or ecological interactions, and should not be treated as one.

Online social networking and addiction--a review of the psychological literature.

PubMed

Kuss, Daria J; Griffiths, Mark D

2011-09-01

Social Networking Sites (SNSs) are virtual communities where users can create individual public profiles, interact with real-life friends, and meet other people based on shared interests. They are seen as a 'global consumer phenomenon' with an exponential rise in usage within the last few years. Anecdotal case study evidence suggests that 'addiction' to social networks on the Internet may be a potential mental health problem for some users. However, the contemporary scientific literature addressing the addictive qualities of social networks on the Internet is scarce. Therefore, this literature review is intended to provide empirical and conceptual insight into the emerging phenomenon of addiction to SNSs by: (1) outlining SNS usage patterns, (2) examining motivations for SNS usage, (3) examining personalities of SNS users, (4) examining negative consequences of SNS usage, (5) exploring potential SNS addiction, and (6) exploring SNS addiction specificity and comorbidity. The findings indicate that SNSs are predominantly used for social purposes, mostly related to the maintenance of established offline networks. Moreover, extraverts appear to use social networking sites for social enhancement, whereas introverts use it for social compensation, each of which appears to be related to greater usage, as does low conscientiousness and high narcissism. Negative correlates of SNS usage include the decrease in real life social community participation and academic achievement, as well as relationship problems, each of which may be indicative of potential addiction.

Communicating Scientific Findings to Lawyers, Policy-Makers, and the Public (Invited)

NASA Astrophysics Data System (ADS)

Thompson, W.; Velsko, S. P.

2013-12-01

This presentation will summarize the authors' collaborative research on inferential errors, bias and communication difficulties that have arisen in the area of WMD forensics. This research involves analysis of problems that have arisen in past national security investigations, interviews with scientists from various disciplines whose work has been used in WMD investigations, interviews with policy-makers, and psychological studies of lay understanding of forensic evidence. Implications of this research for scientists involved in nuclear explosion monitoring will be discussed. Among the issues covered will be: - Potential incompatibilities between the questions policy makers pose and the answers that experts can provide. - Common misunderstandings of scientific and statistical data. - Advantages and disadvantages of various methods for describing and characterizing the strength of scientific findings. - Problems that can arise from excessive hedging or, alternatively, insufficient qualification of scientific conclusions. - Problems that can arise from melding scientific and non-scientific evidence in forensic assessments.

DOE Office of Scientific and Technical Information (OSTI.GOV)

Bailey, David H.

The NAS Parallel Benchmarks (NPB) are a suite of parallel computer performance benchmarks. They were originally developed at the NASA Ames Research Center in 1991 to assess high-end parallel supercomputers. Although they are no longer used as widely as they once were for comparing high-end system performance, they continue to be studied and analyzed a great deal in the high-performance computing community. The acronym 'NAS' originally stood for the Numerical Aeronautical Simulation Program at NASA Ames. The name of this organization was subsequently changed to the Numerical Aerospace Simulation Program, and more recently to the NASA Advanced Supercomputing Center, althoughmore » the acronym remains 'NAS.' The developers of the original NPB suite were David H. Bailey, Eric Barszcz, John Barton, David Browning, Russell Carter, LeoDagum, Rod Fatoohi, Samuel Fineberg, Paul Frederickson, Thomas Lasinski, Rob Schreiber, Horst Simon, V. Venkatakrishnan and Sisira Weeratunga. The original NAS Parallel Benchmarks consisted of eight individual benchmark problems, each of which focused on some aspect of scientific computing. The principal focus was in computational aerophysics, although most of these benchmarks have much broader relevance, since in a much larger sense they are typical of many real-world scientific computing applications. The NPB suite grew out of the need for a more rational procedure to select new supercomputers for acquisition by NASA. The emergence of commercially available highly parallel computer systems in the late 1980s offered an attractive alternative to parallel vector supercomputers that had been the mainstay of high-end scientific computing. However, the introduction of highly parallel systems was accompanied by a regrettable level of hype, not only on the part of the commercial vendors but even, in some cases, by scientists using the systems. As a result, it was difficult to discern whether the new systems offered any fundamental performance advantage over vector supercomputers, and, if so, which of the parallel offerings would be most useful in real-world scientific computation. In part to draw attention to some of the performance reporting abuses prevalent at the time, the present author wrote a humorous essay 'Twelve Ways to Fool the Masses,' which described in a light-hearted way a number of the questionable ways in which both vendor marketing people and scientists were inflating and distorting their performance results. All of this underscored the need for an objective and scientifically defensible measure to compare performance on these systems.« less

Learning through Real-World Problem Solving: The Power of Integrative Teaching.

ERIC Educational Resources Information Center

Nagel, Nancy G.

This book is based on the idea that curriculum development projects focused on integrated or interdisciplinary teaching within the context of real-world problem solving creates dynamics and meaningful learning experiences for students. The real-world, problem-solving units presented in this book were created by four intern teachers, their mentor…

Job Superscheduler Architecture and Performance in Computational Grid Environments

NASA Technical Reports Server (NTRS)

Shan, Hongzhang; Oliker, Leonid; Biswas, Rupak

2003-01-01

Computational grids hold great promise in utilizing geographically separated heterogeneous resources to solve large-scale complex scientific problems. However, a number of major technical hurdles, including distributed resource management and effective job scheduling, stand in the way of realizing these gains. In this paper, we propose a novel grid superscheduler architecture and three distributed job migration algorithms. We also model the critical interaction between the superscheduler and autonomous local schedulers. Extensive performance comparisons with ideal, central, and local schemes using real workloads from leading computational centers are conducted in a simulation environment. Additionally, synthetic workloads are used to perform a detailed sensitivity analysis of our superscheduler. Several key metrics demonstrate that substantial performance gains can be achieved via smart superscheduling in distributed computational grids.

Assessing the effect of adding interactive modeling to the geoscience curriculum

NASA Astrophysics Data System (ADS)

Castillo, A.; Marshall, J.; Cardenas, M.

2013-12-01

Technology and computer models enhance the learning experience when appropriately utilized. Moreover, learning is significantly improved when effective visualization is combined with models of processes allowing for inquiry-based problem solving. Still, hands-on experiences in real scenarios result in better contextualization of related problems compared to virtual laboratories. Therefore, the role of scientific visualization, technology, and computer modeling is to enhance, not displace, the learning experience by supplementing real-world problem solving and experiences, although in some circumstances, they can adequately serve to take the place of reality. The key to improving scientific education is to embrace an inquiry-based approach that favorably uses technology. This study will attempt to evaluate the effect of adding interactive modeling to the geological sciences curriculum. An assessment tool, designed to assess student understanding of physical hydrology, was used to evaluate a curriculum intervention based on student learning with a data- and modeling-driven approach using COMSOL Multiphysics software. This intervention was implemented in an upper division and graduate physical hydrology course in fall 2012. Students enrolled in the course in fall 2011 served as the control group. Interactive modeling was added to the curriculum in fall 2012 to replace the analogous mathematical modeling done by hand in fall 2011. Pre- and post-test results were used to assess and report its effectiveness. Student interviews were also used to probe student reactions to both the experimental and control curricula. The pre- and post-tests asked students to describe the significant processes in the hydrological cycle and describe the laws governing these processes. Their ability to apply their knowledge in a real-world problem was also assessed. Since the pre- and post-test data failed to meet the assumption of normality, a non-parametric Kruskal-Wallis test was run to determine if there were differences in pre- and post-test scores among the 2011 and 2012 groups. Results reveal significant differences in pretest and posttest scores among the 2011 and 2012 groups. Interview data revealed that students experience both affordances and barriers to using geoscience learning tools. Important affordances included COMSOL's modeling capabilities, the visualizations it offers, as well as the opportunity to use the software in the course. Barriers included lack of COMSOL experience, difficulty with COMSOL instructions, and lack of instruction with the software. Results from this study revealed that a well-designed pre- and post-assessment can be used to infer whether a given instructional intervention has caused a change in understanding in a given group of students, but the results are not necessarily generalizable. However, the student interviews, which were used to probe student reactions to both the experimental and control curricula, revealed that students experience both affordances and barriers to geoscience learning tools. This result has limitations including the number of participants, all from one institution, but the assessment tool was useful to assess the effect of adding interactive modeling to the geoscience curriculum. Supported by NSF CAREER grant (EAR-0955750).

Multi-Objective Approach for Energy-Aware Workflow Scheduling in Cloud Computing Environments

PubMed Central

Kadima, Hubert; Granado, Bertrand

2013-01-01

We address the problem of scheduling workflow applications on heterogeneous computing systems like cloud computing infrastructures. In general, the cloud workflow scheduling is a complex optimization problem which requires considering different criteria so as to meet a large number of QoS (Quality of Service) requirements. Traditional research in workflow scheduling mainly focuses on the optimization constrained by time or cost without paying attention to energy consumption. The main contribution of this study is to propose a new approach for multi-objective workflow scheduling in clouds, and present the hybrid PSO algorithm to optimize the scheduling performance. Our method is based on the Dynamic Voltage and Frequency Scaling (DVFS) technique to minimize energy consumption. This technique allows processors to operate in different voltage supply levels by sacrificing clock frequencies. This multiple voltage involves a compromise between the quality of schedules and energy. Simulation results on synthetic and real-world scientific applications highlight the robust performance of the proposed approach. PMID:24319361

Multi-objective approach for energy-aware workflow scheduling in cloud computing environments.

PubMed

Yassa, Sonia; Chelouah, Rachid; Kadima, Hubert; Granado, Bertrand

2013-01-01

We address the problem of scheduling workflow applications on heterogeneous computing systems like cloud computing infrastructures. In general, the cloud workflow scheduling is a complex optimization problem which requires considering different criteria so as to meet a large number of QoS (Quality of Service) requirements. Traditional research in workflow scheduling mainly focuses on the optimization constrained by time or cost without paying attention to energy consumption. The main contribution of this study is to propose a new approach for multi-objective workflow scheduling in clouds, and present the hybrid PSO algorithm to optimize the scheduling performance. Our method is based on the Dynamic Voltage and Frequency Scaling (DVFS) technique to minimize energy consumption. This technique allows processors to operate in different voltage supply levels by sacrificing clock frequencies. This multiple voltage involves a compromise between the quality of schedules and energy. Simulation results on synthetic and real-world scientific applications highlight the robust performance of the proposed approach.

Robotics Programming Competition Spheres, Russian Part

NASA Astrophysics Data System (ADS)

Sadovski, Andrei; Kukushkina, Natalia; Biryukova, Natalia

2016-07-01

Spheres" such name was done to Russian part of the Zero Robotics project which is a student competition devoted to programming of SPHERES (SPHERES - Synchronized Position Hold Engage and Reorient Experimental Satellites are the experimental robotics devices which are capable of rotation and translation in all directions, http://ssl.mit.edu/spheres/), which perform different operations on the board of International Space Station. Competition takes place online on http://zerorobotics.mit.edu. The main goal is to develop a program for SPHERES to solve an annual challenge. The end of the tournament is the real competition in microgravity on the board of ISS with a live broadcast. The Russian part of the tournament has only two years history but the problems, organization and specific are useful for the other educational projects especially for the international ones. We introduce the history of the competition, its scientific and educational goals in Russia and describe the participation of Russian teams in 2014 and 2015 tournaments. Also we discuss the organizational problems.

Making connections: Where STEM learning and Earth science data services meet

NASA Astrophysics Data System (ADS)

Bugbee, K.; Ramachandran, R.; Maskey, M.; Gatlin, P. N.; Weigel, A. M.

2016-12-01

STEM learning is most effective when students are encouraged to see the connections between science, technology and real world problems. Helping to make these connections has become an increasingly important aspect of Earth science data research. The Global Hydrology Resource Center (GHRC), one of NASA's 12 EOSDIS data centers, has developed a new type of documentation called the micro article to facilitate making connections between data and Earth science research problems. Micro articles are short academic texts that enable a reader to quickly understand a scientific phenomena, a case study, or an instrument used to collect data. While originally designed to increase data discovery and usability, micro articles also serve as a reliable starting point for project-based learning, an educational approach in STEM education, for high school and higher education environments. This presentation will highlight micro articles at the Global Hydrology Resource Center data center and will demonstrate the potential applications of micro articles in project-based learning.

Computer-Aided Software Engineering - An approach to real-time software development

NASA Technical Reports Server (NTRS)

Walker, Carrie K.; Turkovich, John J.

1989-01-01

A new software engineering discipline is Computer-Aided Software Engineering (CASE), a technology aimed at automating the software development process. This paper explores the development of CASE technology, particularly in the area of real-time/scientific/engineering software, and a history of CASE is given. The proposed software development environment for the Advanced Launch System (ALS CASE) is described as an example of an advanced software development system for real-time/scientific/engineering (RT/SE) software. The Automated Programming Subsystem of ALS CASE automatically generates executable code and corresponding documentation from a suitably formatted specification of the software requirements. Software requirements are interactively specified in the form of engineering block diagrams. Several demonstrations of the Automated Programming Subsystem are discussed.

Spatially explicit decision support for selecting translocation areas for Mojave desert tortoises

USGS Publications Warehouse

Heaton, Jill S.; Nussear, Kenneth E.; Esque, Todd C.; Inman, Richard D.; Davenport, Frank; Leuteritz, Thomas E.; Medica, Philip A.; Strout, Nathan W.; Burgess, Paul A.; Benvenuti, Lisa

2008-01-01

Spatially explicit decision support systems are assuming an increasing role in natural resource and conservation management. In order for these systems to be successful, however, they must address real-world management problems with input from both the scientific and management communities. The National Training Center at Fort Irwin, California, has expanded its training area, encroaching U.S. Fish and Wildlife Service critical habitat set aside for the Mojave desert tortoise (Gopherus agassizii), a federally threatened species. Of all the mitigation measures proposed to offset expansion, the most challenging to implement was the selection of areas most feasible for tortoise translocation. We developed an objective, open, scientifically defensible spatially explicit decision support system to evaluate translocation potential within the Western Mojave Recovery Unit for tortoise populations under imminent threat from military expansion. Using up to a total of 10 biological, anthropogenic, and/or logistical criteria, seven alternative translocation scenarios were developed. The final translocation model was a consensus model between the seven scenarios. Within the final model, six potential translocation areas were identified.

A simple model of hysteresis behavior using spreadsheet analysis

NASA Astrophysics Data System (ADS)

Ehrmann, A.; Blachowicz, T.

2015-01-01

Hysteresis loops occur in many scientific and technical problems, especially as field dependent magnetization of ferromagnetic materials, but also as stress-strain-curves of materials measured by tensile tests including thermal effects, liquid-solid phase transitions, in cell biology or economics. While several mathematical models exist which aim to calculate hysteresis energies and other parameters, here we offer a simple model for a general hysteretic system, showing different hysteresis loops depending on the defined parameters. The calculation which is based on basic spreadsheet analysis plus an easy macro code can be used by students to understand how these systems work and how the parameters influence the reactions of the system on an external field. Importantly, in the step-by-step mode, each change of the system state, compared to the last step, becomes visible. The simple program can be developed further by several changes and additions, enabling the building of a tool which is capable of answering real physical questions in the broad field of magnetism as well as in other scientific areas, in which similar hysteresis loops occur.

The puzzle of homeopathy.

PubMed

Reilly, D

2001-01-01

Homeopathy is a branch of Western medicine that has mostly been rejected by Western orthodoxy for the last 200 years because of conceptual and scientific clashes. Homeopathy uses microdoses of potential toxins to provoke defense and self-regulatory responses, rather than the more orthodox approach of blocking body reactions. This approach hints at its clinical scope: it can help, at times resolve, conditions that are intrinsically reversible rather than mechanical problems, deficiencies, or irreversible breakdowns in body functions where it is only palliative. In recent years, there has been a renaissance of interest. Public demand has soared, and with it professional interest. Approximately 20% of Scotland's general practitioners have completed basic training. This is partly occasioned by public interest in complementary medicine and a sympathy with the more mind-body approach of homeopathy, and partly by recent scientific evidence. Some homeopathic dilutions are so extreme they are dismissed by critics as only placebo. Yet trials and meta-analyses of controlled trials are pointing toward real effects, mechanism of action unknown. Clinical outcome studies suggest useful clinical impact and excellent safety. There seems to be a potential to enhance patient care by integrating the two systems.

Highly parallel computation

NASA Technical Reports Server (NTRS)

Denning, Peter J.; Tichy, Walter F.

1990-01-01

Highly parallel computing architectures are the only means to achieve the computation rates demanded by advanced scientific problems. A decade of research has demonstrated the feasibility of such machines and current research focuses on which architectures designated as multiple instruction multiple datastream (MIMD) and single instruction multiple datastream (SIMD) have produced the best results to date; neither shows a decisive advantage for most near-homogeneous scientific problems. For scientific problems with many dissimilar parts, more speculative architectures such as neural networks or data flow may be needed.

Working for a not-for-Profit Research and Development Organization in the Earth Sciences

NASA Astrophysics Data System (ADS)

McKague, h L

2001-12-01

The Southwest Research Institute (SwRI) is an independent not-for-profit applied engineering and physical sciences research and development organization. This means that SwRI owes no allegiance to organizations other than its clients. As a not-for-profit organization, SwRI reinvests its net income into the organization to improve, strengthen, and expand facilities and to support internal research and development projects. Located in San Antonio, Texas, on 1200 acres, SwRI employs nearly 2800 staff and occupies nearly 2,000,000 square feet of office space. Its business is about equally divided between commercial and government clients, most of whom have specific scientific and technical problems that need to be solved in a timely, cost-effective manner. Governmental clients include local, state, and federal agencies and foreign governments. Commercial clients include local, national, and international businesses. Earth science disciplines at SwRI include geology, geophysics, hydrology, geochemistry, rock mechanics, mining engineering, and natural hazard assessment. Our overall approach is to systematically examine client problems and develop solutions that may include field work, laboratory work, numerical modeling, or some combination of these approaches. This method of problem solving places a strong emphasis on interdisciplinary teamwork. The work environment at SwRI strikes a balance among the freedom to attack technically important problems, consistent support to professional development, and a strong commitment to meeting client's deadlines and goals. Real problems with real consequences are routinely solved on a tight schedule. The diversity of clients gives exposure to an extraordinarily wide range of problems. Successful employees have sound technical backgrounds, are flexible in accommodating varying clients needs, bring creativity and energy to problem solving and applications of technologies, can work on multiple tasks in parallel, and can communicate clearly with clients and other team members. Professional development is supported through encouragement of continuing education, as well as publication and presentation of professional work. An overview of the earth science staff and work at SwRI can be found at http://www.swri.edu/4org/d20/d20home.htm

Toward Theory-Based Instruction in Scientific Problem Solving.

ERIC Educational Resources Information Center

Heller, Joan I.; And Others

Several empirical and theoretical analyses related to scientific problem-solving are reviewed, including: detailed studies of individuals at different levels of expertise, and computer models simulating some aspects of human information processing during problem solving. Analysis of these studies has revealed many facets about the nature of the…

Exploring Challenges and Opportunities of Coproduction: USDA Climate Hub Efforts to Integrate Coproduction with Applied Research and Decision Support Tool Development in the Northwest

NASA Astrophysics Data System (ADS)

Roesch-McNally, G.; Prendeville, H. R.

2017-12-01

A lack of coproduction, the joint production of new technologies or knowledge among technical experts and other groups, is arguably one of the reasons why much scientific information and resulting decision support systems are not very usable. Increasingly, public agencies and academic institutions are emphasizing the importance of coproduction of scientific knowledge and decision support systems in order to facilitate greater engagement between the scientific community and key stakeholder groups. Coproduction has been embraced as a way for the scientific community to develop actionable scientific information that will assist end users in solving real-world problems. Increasing the level of engagement and stakeholder buy-in to the scientific process is increasingly necessary, particularly in the context of growing politicization of science and the scientific process. Coproduction can be an effective way to build trust and can build-on and integrate local and traditional knowledge. Employing coproduction strategies may enable the development of more relevant and useful information and decision support tools that address stakeholder challenges at relevant scales. The USDA Northwest Climate Hub has increasingly sought ways to integrate coproduction in the development of both applied research projects and the development of decision support systems. Integrating coproduction, however, within existing institutions is not always simple, given that coproduction is often more focused on process than products and products are, for better or worse, often the primary focus of applied research and tool development projects. The USDA Northwest Climate Hub sought to integrate coproduction into our FY2017 call for proposal process. As a result we have a set of proposals and fledgling projects that fall along the engagement continuum (see Figure 1- attached). We will share the challenges and opportunities that emerged from this purposeful integration of coproduction into the work that we prioritized for funding. This effort highlights strategies for how federal agencies might consider how and whether to codify coproduction tenets into their collaborations and agenda setting.

"Why bother so incredibly much?": student perspectives on PISA science assignments

NASA Astrophysics Data System (ADS)

Serder, Margareta; Jakobsson, Anders

2015-09-01

Large-scale assessment, such as the Programme for International Assessment (PISA), plays an increasingly important role in current educational practice and politics. However, many scholars have questioned the validity and reliability of the tests and the extent to which they actually constitute trustworthy representations of students' knowledge. In the light of such critical voices the present article adopts a sociocultural perspective of human knowledge and action in order to explore the encounters between students and the science test assignments with which their knowledge is tested. Of particular interest in this study are the described "real-life situations" presented as the relevant background in which scientific literacy is assessed in PISA. According to the sociocultural theoretical onset the methodology used to approach the students' meaning making of the image of science as portrayed in the test were collaborative situations in which students work in small groups with units of PISA assignments, enabling a study of student-assignment encounters in action. The data we worked with consists of video-recordings from 71 Swedish 15-year-old students working with three released units from the PISA science test. According to our analysis, the "real-life situations" described in the test emerge as problematic in the students' meaning-making. This is demonstrated for instance by the students' positioning themselves as being different from and opposed to the fictional pictured students who appear in the backstories of the test. This article provides examples of how the scientific and academic language used by the fictional students in the assignments mediates distance and resistance among the students. The fictional students' use of strict scientific language and methods in day-to-day life situations leads them to be perceived as "little scientists" and as elite stereotypes of the scientific culture. We conclude that, by using assignments of this type, measurements of students' knowledge in science run the risk of becoming a measurement of cultural consistency regarding how well students will overcome the hurdles of scientific cultures. We mean that all though understanding the scientific culture is an important goal for science education, there is a problem that the assessment organizations communicate the results as representations of students' knowledge in science. This study adheres to research that advises caution in not over-interpreting the PISA results and stresses that understanding students' "knowledge" about science is much more complex than what is communicated by the international assessment organizations.

Transforming "Ecosystem" from a Scientific Concept into a Teachable Topic: Philosophy and History of Ecology Informs Science Textbook Analysis

ERIC Educational Resources Information Center

Schizas, Dimitrios; Papatheodorou, Efimia; Stamou, George

2018-01-01

This study conducts a textbook analysis in the frame of the following working hypothesis: The transformation of scientific knowledge into school knowledge is expected to reproduce the problems encountered with the scientific knowledge itself or generate additional problems, which may both induce misconceptions in textbook users. Specifically, we…

A Real-Life Case Study of Audit Interactions--Resolving Messy, Complex Problems

ERIC Educational Resources Information Center

Beattie, Vivien; Fearnley, Stella; Hines, Tony

2012-01-01

Real-life accounting and auditing problems are often complex and messy, requiring the synthesis of technical knowledge in addition to the application of generic skills. To help students acquire the necessary skills to deal with these problems effectively, educators have called for the use of case-based methods. Cases based on real situations (such…

In the Footsteps of Roger Revelle: A STEM Partnership Between Scripps Institution of Oceanography, Office of Naval Research and Middle School Science Students Bringing Next Generation Science Standards into the Classroom through Ocean Science

NASA Astrophysics Data System (ADS)

Brice, D.; Appelgate, B., Jr.; Mauricio, P.

2014-12-01

Now in its tenth year, "In the Footsteps of Roger Revelle" (IFRR) is a middle school science education program that draws student interest, scientific content and coherence with Next Generation Science Standards from real-time research at sea in fields of physical science. As a successful collaboration involving Scripps Institution of Oceanography (SIO),Office of Naval Research (ONR), and San Marcos Middle School (SMMS), IFRR brings physical oceanography and related sciences to students at the San Marcos Middle School in real-time from research vessels at sea using SIO's HiSeasNet satellite communication system. With a generous grant from ONR, students are able to tour the SIO Ships and spend a day at sea doing real oceanographic data collection and labs. Through real-time and near-realtime broadcasts and webcasts, students are able to share data with scientists and gain an appreciation for the value of Biogeochemical research in the field as it relates to their classroom studies. Interaction with scientists and researchers as well as crew members gives students insights into not only possible career paths, but the vital importance of cutting edge oceanographic research on our society. With their science teacher on the ship as an education outreach specialist or ashore guiding students in their interactions with selected scientists at sea, students observe shipboard research being carried out live via videoconference, Skype, daily e-mails, interviews, digital whiteboard sessions, and web interaction. Students then research, design, develop, deploy, and field-test their own data-collecting physical oceanography instruments in their classroom. The online interactive curriculum models the Next Generation Science Standards encouraging active inquiry and critical thinking with intellectually stimulating problem- solving, enabling students to gain critical insight and skill while investigating some of the most provocative questions of our time, and seeing scientists as role-models. IFRR has provided students in the San Diego area with a unique opportunity for learning about oceanographic research, which could inspire students to become oceanographers or at least scientifically literate citizens, a benefit for our society at large.

Zombie science: a sinister consequence of evaluating scientific theories purely on the basis of enlightened self-interest.

PubMed

Charlton, Bruce G

2008-09-01

Although the classical ideal is that scientific theories are evaluated by a careful teasing-out of their internal logic and external implications, and checking whether these deductions and predictions are in-line-with old and new observations; the fact that so many vague, dumb or incoherent scientific theories are apparently believed by so many scientists for so many years is suggestive that this ideal does not necessarily reflect real world practice. In the real world it looks more like most scientists are quite willing to pursue wrong ideas for so long as they are rewarded with a better chance of achieving more grants, publications and status. The classic account has it that bogus theories should readily be demolished by sceptical (or jealous) competitor scientists. However, in practice even the most conclusive 'hatchet jobs' may fail to kill, or even weaken, phoney hypotheses when they are backed-up with sufficient economic muscle in the form of lavish and sustained funding. And when a branch of science based on phoney theories serves a useful but non-scientific purpose, it may be kept-going indefinitely by continuous transfusions of cash from those whose interests it serves. If this happens, real science expires and a 'zombie science' evolves. Zombie science is science that is dead but will not lie down. It keeps twitching and lumbering around so that (from a distance, and with your eyes half-closed) zombie science looks much like the real thing. But in fact the zombie has no life of its own; it is animated and moved only by the incessant pumping of funds. If zombie science is not scientifically-useable--what is its function? In a nutshell, zombie science is supported because it is useful propaganda to be deployed in arenas such as political rhetoric, public administration, management, public relations, marketing and the mass media generally. It persuades, it constructs taboos, it buttresses some kind of rhetorical attempt to shape mass opinion. Indeed, zombie science often comes across in the mass media as being more plausible than real science; and it is precisely the superficial face-plausibility which is the sole and sufficient purpose of zombie science.

Real-time data acquisition of commercial microwave link networks for hydrometeorological applications

NASA Astrophysics Data System (ADS)

Chwala, Christian; Keis, Felix; Kunstmann, Harald

2016-03-01

The usage of data from commercial microwave link (CML) networks for scientific purposes is becoming increasingly popular, in particular for rain rate estimation. However, data acquisition and availability is still a crucial problem and limits research possibilities. To overcome this issue, we have developed an open-source data acquisition system based on the Simple Network Management Protocol (SNMP). It is able to record transmitted and received signal levels of a large number of CMLs simultaneously with a temporal resolution of up to 1 s. We operate this system at Ericsson Germany, acquiring data from 450 CMLs with minutely real-time transfer to our database. Our data acquisition system is not limited to a particular CML hardware model or manufacturer, though. We demonstrate this by running the same system for CMLs of a different manufacturer, operated by an alpine ski resort in Germany. There, the data acquisition is running simultaneously for four CMLs with a temporal resolution of 1 s. We present an overview of our system, describe the details of the necessary SNMP requests and show results from its operational application.

Real time data acquisition of commercial microwave link networks for hydrometeorological applications

NASA Astrophysics Data System (ADS)

Chwala, C.; Keis, F.; Kunstmann, H.

2015-11-01

The usage of data from commercial microwave link (CML) networks for scientific purposes is becoming increasingly popular, in particular for rain rate estimation. However, data acquisition and availability is still a crucial problem and limits research possibilities. To overcome this issue, we have developed an open source data acquisition system based on the Simple Network Management Protocol (SNMP). It is able to record transmitted- and received signal levels of a large number of CMLs simultaneously with a temporal resolution of up to one second. We operate this system at Ericsson Germany, acquiring data from 450 CMLs with minutely real time transfer to our data base. Our data acquisition system is not limited to a particular CML hardware model or manufacturer, though. We demonstrate this by running the same system for CMLs of a different manufacturer, operated by an alpine skiing resort in Germany. There, the data acquisition is running simultaneously for four CMLs with a temporal resolution of one second. We present an overview of our system, describe the details of the necessary SNMP requests and show results from its operational application.

Optimizing real time fMRI neurofeedback for therapeutic discovery and development

PubMed Central

Stoeckel, L.E.; Garrison, K.A.; Ghosh, S.; Wighton, P.; Hanlon, C.A.; Gilman, J.M.; Greer, S.; Turk-Browne, N.B.; deBettencourt, M.T.; Scheinost, D.; Craddock, C.; Thompson, T.; Calderon, V.; Bauer, C.C.; George, M.; Breiter, H.C.; Whitfield-Gabrieli, S.; Gabrieli, J.D.; LaConte, S.M.; Hirshberg, L.; Brewer, J.A.; Hampson, M.; Van Der Kouwe, A.; Mackey, S.; Evins, A.E.

2014-01-01

While reducing the burden of brain disorders remains a top priority of organizations like the World Health Organization and National Institutes of Health, the development of novel, safe and effective treatments for brain disorders has been slow. In this paper, we describe the state of the science for an emerging technology, real time functional magnetic resonance imaging (rtfMRI) neurofeedback, in clinical neurotherapeutics. We review the scientific potential of rtfMRI and outline research strategies to optimize the development and application of rtfMRI neurofeedback as a next generation therapeutic tool. We propose that rtfMRI can be used to address a broad range of clinical problems by improving our understanding of brain–behavior relationships in order to develop more specific and effective interventions for individuals with brain disorders. We focus on the use of rtfMRI neurofeedback as a clinical neurotherapeutic tool to drive plasticity in brain function, cognition, and behavior. Our overall goal is for rtfMRI to advance personalized assessment and intervention approaches to enhance resilience and reduce morbidity by correcting maladaptive patterns of brain function in those with brain disorders. PMID:25161891

Ozone Bioindicator Gardens: an Educational Tool to Raise Awareness about Environmental Pollution and its Effects on Living Systems

NASA Astrophysics Data System (ADS)

Lapina, K.; Lombardozzi, D.

2014-12-01

High concentrations of ground-level ozone cause health problems in humans and a number of negative effects on plants, from reduced yield for major agricultural crops to reduced amounts of carbon stored in trees. The Denver Metro/Colorado Front Range is exceeding the National Ambient Air Quality Standard for ozone on a regular basis in summer and the efforts to reduce the ozone levels are hampered by the presence of diverse pollution sources and complex meteorology in the region. To raise public awareness of air quality in the Colorado Front Range and to educate all age groups about ground-level ozone, two ozone bioindicator gardens were planted in Boulder in Spring 2014. The gardens contain ozone-sensitive plants that develop a characteristic ozone injury when exposed to high levels of ozone. The ozone gardens are providing the general public with a real-life demonstration of the negative effects of ozone pollution through observable plant damage. Additionally, the gardens are useful in teaching students how to collect and analyze real-world scientific data.

Subduction indices in Calabro-Sicilian arc : Training for Experimental Skills Testing and collaborative work for students in scientific terminal class in high school.

NASA Astrophysics Data System (ADS)

Gendron, Faustine; Bollori, Lucas; Villeneuve, Felix

2017-04-01

In France, at the end of the last year in high school, students of the scientific terminal class have written exams in all subjects they are studying, and in "Life and Earth's Sciences", they also have an Experimental Skills Testing in order to rate them in scientific approach. This one-hour evaluation is made of four steps: - During the first evaluation, students have to show that they are able to propose a scientific strategy connected to a scientific problem. - During the second evaluation, they have to experiment. - During the third evaluation, they have to introduce their results. - During the last evaluation, they have to deduce and conclude. The final testing take place at the end of May, but during all the school year, teachers have to train their students, and it's impossible to make them work on real subjects. Therefore, it's necessary to produce new subjects every year. Linked to a fall school in Sicily last October, my colleagues and I have decided to create a new Experimental Skills Test to use new examples and illustrate subduction in the Mediterranean Sea with Aeolian Islands. We would like to make our pupils understand what the Aeolian volcanism is due to, by using information, equipment and software, etc. we have in our classrooms in our high school. Since we have found several ways for our students to prove that the Aeolian Islands are linked to a subduction zone, we have decided, following our research, to divide the new experimental skills testing in three different tests, in order to make students train on most of the equipment and then to share their results to produce a collaborative final work.

Integrated Meteorological Observation Network in Castile-León (Spain)

NASA Astrophysics Data System (ADS)

Merino, A.; Guerrero-Higueras, A. M.; Ortiz de Galisteo, J. P.; López, L.; García-Ortega, E.; Nafría, D. A.; Sánchez, J. L.

2012-04-01

In the region of Castile-Leon, in the northwest of Spain, the study of weather risks is extremely complex because of the topography, the large land area of the region and the variety of climatic features involved. Therefore, as far as the calibration and validation of the necessary tools for the identification and nowcasting of these risks are concerned, one of the most important difficulties is the lack of observed data. The same problem arises, for example, in the analysis of particularly relevant case studies. It was hence deemed necessary to create an INTEGRATED METEOROLOGICAL OBSERVATION NETWORK FOR CASTILE-LEON. The aim of this network is to integrate within one single platform all the ground truth data available. These data enable us to detect a number of weather risks in real time. The various data sources should include the networks from the weather stations run by different public institutions - national and regional ones (AEMET, Junta de Castilla y León, Universities, etc.) -, as well as the stations run by voluntary observers. The platform will contain real or cuasi-real time data from the ground weather stations, but it will also have applications to enable voluntary observers to indicate the presence or absence of certain meteors (snow, hail) or even provide detailed information about them (hailstone size, graupel, etc.). The data managed by this network have a high scientific potential, as they may be used for a number of different purposes: calibration and validation of remote sensing tools, assimilation of observation data from numerical models, study of extreme weather events, etc. An additional aim of the network is the drawing of maps of weather risks in real time. These maps are of great importance for the people involved in risk management in each region, as well as for the general public. Finally, one of the first applications developed has been the creation of observation maps in real time. These applications have been constructed using NCL (NCAR Command Language), because it is a robust tool especially designed for the treatment and visualization of scientific data. Acknowledgements The authors would like to thank the Regional Government of Castile-León for its financial support through the project LE220A11-2.

SCIENTIFIC MANPOWER UTILIZATION, HEARINGS ON S. 430, AND S. 467, JANUARY 24-27, MARCH 29-30, 1967.

ERIC Educational Resources Information Center

Congress of the U.S., Washington, DC. Senate Committee on Labor and Public Welfare.

THE PURPOSE OF BILL S. 430, "SCIENTIFIC MANPOWER UTILIZATION ACT OF 1967," IS TO FACILITATE AND ENCOURAGE THE UTILIZATION OF THE SCIENTIFIC, ENGINEERING, AND TECHNICAL RESOURCES OF THE NATION IN MEETING URGENT NATIONAL AND LOCAL PROBLEMS BY PROMOTING THE APPLICATION OF SYSTEMS ANALYSIS AND SYSTEMS ENGINEERING TO PROBLEMS IN THE AREAS OF EDUCATION,…

The Role of the Goldstone Apple Valley Radio Telescope Project in Promoting Scientific Efficacy among Middle and High School Students.

ERIC Educational Resources Information Center

Ibe, Mary; Deutscher, Rebecca

This study investigated the effects on student scientific efficacy after participation in the Goldstone Apple Valley Radio Telescope (GAVRT) project. In the GAVRT program, students use computers to record extremely faint radio waves collected by the telescope and analyze real data. Scientific efficacy is a type of self-knowledge a person uses to…

The Motivation of Problem-Based Teaching and Learning in Translation

ERIC Educational Resources Information Center

Yingxue, Zheng

2013-01-01

Problem-Based Learning (PBL) has been one of the popular pedagogical strategies these years. PBL is about students connecting disciplinary knowledge to real-world problems--the motivation to solve a problem. To recognize general elements and typological differences of language in translation is the motivation to solve real problems such as…

Boosting medical diagnostics by pooling independent judgments

PubMed Central

Kurvers, Ralf H. J. M.; Herzog, Stefan M.; Hertwig, Ralph; Krause, Jens; Carney, Patricia A.; Bogart, Andy; Argenziano, Giuseppe; Zalaudek, Iris; Wolf, Max

2016-01-01

Collective intelligence refers to the ability of groups to outperform individual decision makers when solving complex cognitive problems. Despite its potential to revolutionize decision making in a wide range of domains, including medical, economic, and political decision making, at present, little is known about the conditions underlying collective intelligence in real-world contexts. We here focus on two key areas of medical diagnostics, breast and skin cancer detection. Using a simulation study that draws on large real-world datasets, involving more than 140 doctors making more than 20,000 diagnoses, we investigate when combining the independent judgments of multiple doctors outperforms the best doctor in a group. We find that similarity in diagnostic accuracy is a key condition for collective intelligence: Aggregating the independent judgments of doctors outperforms the best doctor in a group whenever the diagnostic accuracy of doctors is relatively similar, but not when doctors’ diagnostic accuracy differs too much. This intriguingly simple result is highly robust and holds across different group sizes, performance levels of the best doctor, and collective intelligence rules. The enabling role of similarity, in turn, is explained by its systematic effects on the number of correct and incorrect decisions of the best doctor that are overruled by the collective. By identifying a key factor underlying collective intelligence in two important real-world contexts, our findings pave the way for innovative and more effective approaches to complex real-world decision making, and to the scientific analyses of those approaches. PMID:27432950

Students as Virtual Scientists: An Exploration of Students' and Teachers' Perceived Realness of a Remote Electron Microscopy Investigation

ERIC Educational Resources Information Center

Childers, Gina; Jones, M. Gail

2015-01-01

Remote access technologies enable students to investigate science by utilizing scientific tools and communicating in real-time with scientists and researchers with only a computer and an Internet connection. Very little is known about student perceptions of how real remote investigations are and how immersed the students are in the experience.…

Real-effectiveness medicine--pursuing the best effectiveness in the ordinary care of patients.

PubMed

Malmivaara, Antti

2013-03-01

Clinical know-how and skills as well as up-to-date scientific evidence are cornerstones for providing effective treatment for patients. However, in order to improve the effectiveness of treatment in ordinary practice, also appropriate documentation of care at the health care units and benchmarking based on this documentation are needed. This article presents the new concept of real-effectiveness medicine (REM) which pursues the best effectiveness of patient care in the real-world setting. In order to reach the goal, four layers of information are utilized: 1) good medical know-how and skills combined with the patient view, 2) up-to-date scientific evidence, 3) continuous documentation of performance in ordinary settings, and 4) benchmarking between providers. The new framework is suggested for clinicians, organizations, policy-makers, and researchers.

Annual ADP planning document

NASA Technical Reports Server (NTRS)

Mogilevsky, M.

1973-01-01

The Category A computer systems at KSC (Al and A2) which perform scientific and business/administrative operations are described. This data division is responsible for scientific requirements supporting Saturn, Atlas/Centaur, Titan/Centaur, Titan III, and Delta vehicles, and includes realtime functions, Apollo-Soyuz Test Project (ASTP), and the Space Shuttle. The work is performed chiefly on the GEL-635 (Al) system located in the Central Instrumentation Facility (CIF). The Al system can perform computations and process data in three modes: (1) real-time critical mode; (2) real-time batch mode; and (3) batch mode. The Division's IBM-360/50 (A2) system, also at the CIF, performs business/administrative data processing such as personnel, procurement, reliability, financial management and payroll, real-time inventory management, GSE accounting, preventive maintenance, and integrated launch vehicle modification status.

An ambiguity of information content and error in an ill-posed satellite inversion

NASA Astrophysics Data System (ADS)

Koner, Prabhat

According to Rodgers (2000, stochastic approach), the averaging kernel (AK) is the representational matrix to understand the information content in a scholastic inversion. On the other hand, in deterministic approach this is referred to as model resolution matrix (MRM, Menke 1989). The analysis of AK/MRM can only give some understanding of how much regularization is imposed on the inverse problem. The trace of the AK/MRM matrix, which is the so-called degree of freedom from signal (DFS; stochastic) or degree of freedom in retrieval (DFR; deterministic). There are no physical/mathematical explanations in the literature: why the trace of the matrix is a valid form to calculate this quantity? We will present an ambiguity between information and error using a real life problem of SST retrieval from GOES13. The stochastic information content calculation is based on the linear assumption. The validity of such mathematics in satellite inversion will be questioned because it is based on the nonlinear radiative transfer and ill-conditioned inverse problems. References: Menke, W., 1989: Geophysical data analysis: discrete inverse theory. San Diego academic press. Rodgers, C.D., 2000: Inverse methods for atmospheric soundings: theory and practice. Singapore :World Scientific.

Large-scale optimization-based non-negative computational framework for diffusion equations: Parallel implementation and performance studies

DOE Office of Scientific and Technical Information (OSTI.GOV)

Chang, Justin; Karra, Satish; Nakshatrala, Kalyana B.

It is well-known that the standard Galerkin formulation, which is often the formulation of choice under the finite element method for solving self-adjoint diffusion equations, does not meet maximum principles and the non-negative constraint for anisotropic diffusion equations. Recently, optimization-based methodologies that satisfy maximum principles and the non-negative constraint for steady-state and transient diffusion-type equations have been proposed. To date, these methodologies have been tested only on small-scale academic problems. The purpose of this paper is to systematically study the performance of the non-negative methodology in the context of high performance computing (HPC). PETSc and TAO libraries are, respectively, usedmore » for the parallel environment and optimization solvers. For large-scale problems, it is important for computational scientists to understand the computational performance of current algorithms available in these scientific libraries. The numerical experiments are conducted on the state-of-the-art HPC systems, and a single-core performance model is used to better characterize the efficiency of the solvers. Furthermore, our studies indicate that the proposed non-negative computational framework for diffusion-type equations exhibits excellent strong scaling for real-world large-scale problems.« less

Large-scale optimization-based non-negative computational framework for diffusion equations: Parallel implementation and performance studies

DOE PAGES

Chang, Justin; Karra, Satish; Nakshatrala, Kalyana B.

2016-07-26

It is well-known that the standard Galerkin formulation, which is often the formulation of choice under the finite element method for solving self-adjoint diffusion equations, does not meet maximum principles and the non-negative constraint for anisotropic diffusion equations. Recently, optimization-based methodologies that satisfy maximum principles and the non-negative constraint for steady-state and transient diffusion-type equations have been proposed. To date, these methodologies have been tested only on small-scale academic problems. The purpose of this paper is to systematically study the performance of the non-negative methodology in the context of high performance computing (HPC). PETSc and TAO libraries are, respectively, usedmore » for the parallel environment and optimization solvers. For large-scale problems, it is important for computational scientists to understand the computational performance of current algorithms available in these scientific libraries. The numerical experiments are conducted on the state-of-the-art HPC systems, and a single-core performance model is used to better characterize the efficiency of the solvers. Furthermore, our studies indicate that the proposed non-negative computational framework for diffusion-type equations exhibits excellent strong scaling for real-world large-scale problems.« less

Harnessing the Power of Digital Data for Science and Society

DTIC Science & Technology

2009-01-01

development and that the research process is responsive to the real-world needs of the implementation sector. Relationship to the Scientific Collections IWG...The Scientific Collections Interagency Working Group focuses on collections of physical objects relevant to science (e.g., biological specimens

Diversity of social ties in scientific collaboration networks

NASA Astrophysics Data System (ADS)

Shi, Quan; Xu, Bo; Xu, Xiaomin; Xiao, Yanghua; Wang, Wei; Wang, Hengshan

2011-11-01

Diversity is one of the important perspectives to characterize behaviors of individuals in social networks. It is intuitively believed that diversity of social ties accounts for competition advantage and idea innovation. However, quantitative evidences in a real large social network can be rarely found in the previous research. Thanks to the availability of scientific publication records on WWW; now we can construct a large scientific collaboration network, which provides us a chance to gain insight into the diversity of relationships in a real social network through statistical analysis. In this article, we dedicate our efforts to perform empirical analysis on a scientific collaboration network extracted from DBLP, an online bibliographic database in computer science, in a systematical way, finding the following: distributions of diversity indices tend to decay in an exponential or Gaussian way; diversity indices are not trivially correlated to existing vertex importance measures; authors of diverse social ties tend to connect to each other and these authors are generally more competitive than others.

[Academician Li Lianda talking about doctors doing scientific research].

PubMed

He, Ping; Li, Yi-kui

2015-09-01

At present, Chinese medical field faces with an important problem of how to correctly handle the relationship between medical and scientific research. Academician Li Lianda advocates doctors doing scientific research under the premise of putting the medical work first. He points out that there are many problems in the process of doctors doing scientific research at present such as paying more attention to scientific research than medical care, excessively promoting building scientific research hospital, only paying attention to training scientific talents, research direction be flashy without substance, the medical evaluation system should be improved and so on. Medical, scientific research and teaching are inseparable because improving medical standards depends on scientific research and personnel training. But not all doctors need to take into account of medical treatment, scientific research and teaching in the same degree while not all hospitals need to turn into three-in-one hospital, scientific research hospital or teaching hospital. It must be treated differently according to the actual situation.

Perceived Problem Solving Skills: As a Predictor of Prospective Teachers' Scientific Epistemological Beliefs

ERIC Educational Resources Information Center

Temel, Senar

2016-01-01

This study aims to determine the level of perceived problem solving skills of prospective teachers and the relations between these skills and their scientific epistemological beliefs. The study was conducted in the fall semester of 2015-2016 academic year. Prospective teachers were applied Problem Solving Inventory which was developed by Heppner…

Near Real-time Scientific Data Analysis and Visualization with the ArcGIS Platform

NASA Astrophysics Data System (ADS)

Shrestha, S. R.; Viswambharan, V.; Doshi, A.

2017-12-01

Scientific multidimensional data are generated from a variety of sources and platforms. These datasets are mostly produced by earth observation and/or modeling systems. Agencies like NASA, NOAA, USGS, and ESA produce large volumes of near real-time observation, forecast, and historical data that drives fundamental research and its applications in larger aspects of humanity from basic decision making to disaster response. A common big data challenge for organizations working with multidimensional scientific data and imagery collections is the time and resources required to manage and process such large volumes and varieties of data. The challenge of adopting data driven real-time visualization and analysis, as well as the need to share these large datasets, workflows, and information products to wider and more diverse communities, brings an opportunity to use the ArcGIS platform to handle such demand. In recent years, a significant effort has put in expanding the capabilities of ArcGIS to support multidimensional scientific data across the platform. New capabilities in ArcGIS to support scientific data management, processing, and analysis as well as creating information products from large volumes of data using the image server technology are becoming widely used in earth science and across other domains. We will discuss and share the challenges associated with big data by the geospatial science community and how we have addressed these challenges in the ArcGIS platform. We will share few use cases, such as NOAA High Resolution Refresh Radar (HRRR) data, that demonstrate how we access large collections of near real-time data (that are stored on-premise or on the cloud), disseminate them dynamically, process and analyze them on-the-fly, and serve them to a variety of geospatial applications. We will also share how on-the-fly processing using raster functions capabilities, can be extended to create persisted data and information products using raster analytics capabilities that exploit distributed computing in an enterprise environment.

The Feature of Scientific Explanation in the Teaching of Chemistry in the Environment of New Information of School Students' Developmental Education

ERIC Educational Resources Information Center

Gilmanshina, Suriya I.; Gilmanshin, Iskander R.; Sagitova, Rimma N.; Galeeva, Asiya I.

2016-01-01

The aim of this article is to disclose features of scientific explanation in teaching of chemistry in the environment of new information of school students' developmental education. The leading approach to the study of this problem is the information and environmental approach that comprehensively address the problem of scientific explanation in…

Authorized Course of Instruction for the Quinmester Program. Science: Scientific Approach to Solving Problems; Who's Who; and What in the World's Going On.

ERIC Educational Resources Information Center

Dade County Public Schools, Miami, FL.

Performance objectives are stated for each of the three secondary school units included in this package prepared for the Dade County Florida Quinmester Program. The units all concern some aspect of instruction in scientific method. "The Scientific Approach to Solving Problems" introduces students to the use of experimental testing of…

El problema de la barrera linguistica en el desarrollo cientifico y tecnologico (The Problem of the Language Barrier in Scientific and Technological Development).

ERIC Educational Resources Information Center

Zierer, Ernesto

This monograph discusses the problem of the language barrier in scientific and technological development in terms of several parameters describing the flow of scientific information from one language to another. The numerical values of the language barrier parameters of the model are calculated in the field of information on second language…

Success matters: Recasting the relationship among geophysical, biological, and behavioral scientists to support decision making on major environmental challenges

NASA Astrophysics Data System (ADS)

Knopman, Debra S.

2006-03-01

Coping with global change, providing clean water for growing populations, and disposing of nuclear waste are some of the most difficult public policy challenges of our time. Unknowns in the physical sciences are one source of the difficulty. Real difficulties in meeting these challenges also arise in the behavioral sciences. A potentially rich vein of transdisciplinary research is to integrate the psychology of decision making, known as "judgment and decision making," or JDM, with the development of technical information and decision support tools for complex, long-term environmental problems. Practitioners of JDM conduct research on how individuals and groups respond to uncertainty and ambiguity, hedge against risks, anchor decisions to the status quo, compare relative risks and rewards of alternative strategies, and cope with other classes of decisions. Practitioners use a variety of stimuli, chance devices, hypothetical and real choices involving small stakes, scenarios, and questionnaires to measure (directly and indirectly) preferences under varying conditions. These kinds of experiments can help guide choices about the level of complexity required for different types of decision-making processes, the value of new data collection efforts, and the ways in which uncertainty in model outcomes can be cast to minimize decision-making paralysis. They can also provide a scientific basis for interacting with decision makers throughout the model development process, designing better ways of eliciting and combining opinions and of communicating information relevant to public policy issues with the goal of improving the value of the scientific contribution to the social decision.

Lessons Learned to Date in Developing the Virtual Space Physics Observatory

NASA Astrophysics Data System (ADS)

Cornwell, C.; Roberts, D. A.; King, J.; Smith, A.

2005-12-01

We now have an operational Virtual Space Physics Observatory that provides users the ability to search for and retrieve data from hundreds of space and solar physics data products based on specific terms or a Google-like interface. Lessons learned in building VSPO include: (a) A very close and highly interactive collaboration between scientists and information technologists in the definition and development of services is essential. (b) Constructing a Data Model acceptable to a broad community is very important but very difficult. Variations in usage are inevitable and must be dealt with through translations; this is especially true for the description of variables within data products. (c) Higher-order queries (searches based on events, positions, comparisons of measurements, etc.) are possible, and have been implemented in various systems; currently we see these as being separate from the basic data finding and retrieval services. (d) Building a Virtual Observatory is often more a matter of the tedious details of product descriptions than an exercise in implementing fancy middleware. Paying a knowledgeable third party to build registries can be more efficient than working directly with providers, and automated tools can help but do not solve all the problems. (e) The success of the VO effort in space and solar physics, as elsewhere, will depend on whether the scientific communities involved use and critique the services so that they will come to meet a real need for the integration of resources to solve new scientific problems of perceived importance.

Enhancing undergraduate students' chemistry understanding through project-based learning in an IT environment

NASA Astrophysics Data System (ADS)

Barak, Miri; Dori, Yehudit Judy

2005-01-01

Project-based learning (PBL), which is increasingly supported by information technologies (IT), contributes to fostering student-directed scientific inquiry of problems in a real-world setting. This study investigated the integration of PBL in an IT environment into three undergraduate chemistry courses, each including both experimental and control students. Students in the experimental group volunteered to carry out an individual IT-based project, whereas the control students solved only traditional problems. The project included constructing computerized molecular models, seeking information on scientific phenomena, and inquiring about chemistry theories. The effect of the PBL was examined both quantitatively and qualitatively. The quantitative analysis was based on a pretest, a posttest, and a final examination, which served for comparing the learning gains of the two research groups. For the qualitative analysis, we looked into the experimental students' performance, as reflected by the projects they had submitted. In addition, think alou interviews and observations helped us gain insight into the students' conceptual understanding of molecular structures. Students who participated in the IT-enhanced PBL performed significantly better than their control classmates not only on their posttest but also on their course final examination. Analyzing the qualitative findings, we concluded that the construction of computerized models and Web-based inquiry activities helped promote students' ability of mentally traversing the four levels of chemistry understanding: symbolic, macroscopic, microscopic, and process. More generally, our results indicated that incorporating IT-rich PBL into freshmen courses can enhance students' understanding of chemical concepts, theories, and molecular structures.

Evaluating the Efficacy of the Cloud for Cluster Computation

NASA Technical Reports Server (NTRS)

Knight, David; Shams, Khawaja; Chang, George; Soderstrom, Tom

2012-01-01

Computing requirements vary by industry, and it follows that NASA and other research organizations have computing demands that fall outside the mainstream. While cloud computing made rapid inroads for tasks such as powering web applications, performance issues on highly distributed tasks hindered early adoption for scientific computation. One venture to address this problem is Nebula, NASA's homegrown cloud project tasked with delivering science-quality cloud computing resources. However, another industry development is Amazon's high-performance computing (HPC) instances on Elastic Cloud Compute (EC2) that promises improved performance for cluster computation. This paper presents results from a series of benchmarks run on Amazon EC2 and discusses the efficacy of current commercial cloud technology for running scientific applications across a cluster. In particular, a 240-core cluster of cloud instances achieved 2 TFLOPS on High-Performance Linpack (HPL) at 70% of theoretical computational performance. The cluster's local network also demonstrated sub-100 ?s inter-process latency with sustained inter-node throughput in excess of 8 Gbps. Beyond HPL, a real-world Hadoop image processing task from NASA's Lunar Mapping and Modeling Project (LMMP) was run on a 29 instance cluster to process lunar and Martian surface images with sizes on the order of tens of gigapixels. These results demonstrate that while not a rival of dedicated supercomputing clusters, commercial cloud technology is now a feasible option for moderately demanding scientific workloads.

[Discussion on solutions to ethical issues of clinical researches in a real world].

PubMed

Wang, Si-Cheng; Liu, Bao-Yan; Xiong, Ning-Ning; Xie, Qi; Zhang, Run-Shun; Zhou, Xue-Zhong; Qiao, Jie

2013-04-01

The paradigm of a real world study has become the frontiers of clinical researches, especially in the field of Chinese medicine, all over the world in recent years. In this paper, ethical issues which probably exist in real-world studies are raised and reviewed. Moreover, some preliminary solutions to these issues such as protecting subjects during the process of real-world studies and performing ethical review are raised based on recent years' practices to enhance the scientificity and ethical level of real-world studies.

Encouraging Balanced Scientific Research through Formal Debate

ERIC Educational Resources Information Center

Yurgelun, Nancy

2007-01-01

The new Connecticut science standards include a "Science, Technology, and Society" (STS) standard for each grade level. This standard encourages students to explore how scientific knowledge affects the quality of their lives. By relating science concepts to real-world decision making, STS investigations give students a framework through…

"Everybody knows psychology is not a real science": Public perceptions of psychology and how we can improve our relationship with policymakers, the scientific community, and the general public.

PubMed

Ferguson, Christopher J

2015-09-01

In a recent seminal article, Lilienfeld (2012) argued that psychological science is experiencing a public perception problem that has been caused by both public misconceptions about psychology, as well as the psychological science community's failure to distinguish itself from pop psychology and questionable therapeutic practices. Lilienfeld's analysis is an important and cogent synopsis of external problems that have limited psychological science's penetration into public knowledge. The current article expands upon this by examining internal problems, or problems within psychological science that have potentially limited its impact with policymakers, other scientists, and the public. These problems range from the replication crisis and defensive reactions to it, overuse of politicized policy statements by professional advocacy groups such as the American Psychological Association (APA), and continued overreliance on mechanistic models of human behavior. It is concluded that considerable problems arise from psychological science's tendency to overcommunicate mechanistic concepts based on weak and often unreplicated (or unreplicable) data that do not resonate with the everyday experiences of the general public or the rigor of other scholarly fields. It is argued that a way forward can be seen by, on one hand, improving the rigor and transparency of psychological science, and making theoretical innovations that better acknowledge the complexities of the human experience. (PsycINFO Database Record (PsycINFO Database Record (c) 2015 APA, all rights reserved).

The Real Wealth Purchased in a Fish Dinner

EPA Science Inventory

There is a growing realization within the scientific community and in the public at large that the environment makes real contributions to wealth that are not adequately valued by markets. In addition, almost everyone recognizes when they are getting a “good deal” on ...

The Real Wealth Purchased in a Fish Dinner.

EPA Science Inventory

There is a growing realization within the scientific community and in the public at large that the environment makes real contributions to wealth that are not adequately valued by markets. In addition, almost everyone recognizes when they are getting a “good deal” on ...

A Quantum Leap : Innovation in the Evolving Digital Library

DOE Office of Scientific and Technical Information (OSTI.GOV)

Luce, R. E.

2002-01-01

It is an honor to give the Lazerow lecture tonight and to discuss digital library developments from the perspective of working at a national laboratory. Tonight I would like to consider what lies ahead given the evolution in scientific research, how that impacts the development of digital libraries, and finally, look at some of the challenges ahead of us. I'm particularly interested in giving this talk tonight because it provides an opportunity to talk to those of you who are students. You represent the next generation of professionals who will to confront some of the challenges I will outline tonight,more » as well as those of you who are the mentors and teachers of the next generation. The two roles are pivotal in terms of the challenges on the horizon. Most of you are familiar with the information literacy challenges we face as a nation. As the library director of a national laboratory's science library, I am also acutely aware that we also have a real problem with the lack of scientific literacy within the general population in this country and it has a corresponding impact on decision-making in a technological society. Those of us engaged in supporting scientific research, or just generally interested, should be concerned about this fact because science and technology are at the foundation of our success as a nation in the 20th Century. For our nation to continue to be successful in the 21st Century, we will need to improve on the state of scientific literacy.« less

Women Working in Engineering and Science

NASA Technical Reports Server (NTRS)

Luna, Bernadette; Kliss, Mark (Technical Monitor)

1998-01-01

The presentation will focus on topics of interest to young women pursuing an engineering or scientific career, such as intrinsic personality traits of most engineers, average salaries for the various types of engineers, appropriate preparation classes at the high school and undergraduate levels, gaining experience through internships, summer jobs and graduate school, skills necessary but not always included in engineering curricula (i.e., multimedia, computer skills, communication skills), the work environment, balancing family and career, and sexual harassment. Specific examples from the speaker's own experience in NASA's Space Life Sciences Program will be used to illustrate the above topics. In particular, projects from Extravehicular Activity and Protective Systems research and Regenerative Life Support research will be used as examples of real world problem-solving to enable human exploration of the solar system.

Personal Health—Personalized Science: A new driver for science education?

NASA Astrophysics Data System (ADS)

Roth, Wolff-Michael

2014-06-01

Since the 1950s, originating with and driven by the Sputnik shock, there have been tremendous efforts to improve science education. Over the past two decades, the initial focus on science content has been abandoned, at least among many science education researchers, in favor of socio-scientific issues. Yet even this social turn does not appear to make much difference, as scores of students continue to be turned off in/by school science. In this contribution, based on a first-person (phenomenological) investigation, I suggest why and under which condition health and environment may constitute suitable contexts for (also) teaching science. I conclude that more than content and approach (science) educators need to reconsider the very structure of schooling, which may be the real problem in making learning an authentic endeavor.

Simulating and mapping spatial complexity using multi-scale techniques

USGS Publications Warehouse

De Cola, L.

1994-01-01

A central problem in spatial analysis is the mapping of data for complex spatial fields using relatively simple data structures, such as those of a conventional GIS. This complexity can be measured using such indices as multi-scale variance, which reflects spatial autocorrelation, and multi-fractal dimension, which characterizes the values of fields. These indices are computed for three spatial processes: Gaussian noise, a simple mathematical function, and data for a random walk. Fractal analysis is then used to produce a vegetation map of the central region of California based on a satellite image. This analysis suggests that real world data lie on a continuum between the simple and the random, and that a major GIS challenge is the scientific representation and understanding of rapidly changing multi-scale fields. -Author

Spectromicroscopy and coherent diffraction imaging: focus on energy materials applications.

PubMed

Hitchcock, Adam P; Toney, Michael F

2014-09-01

Current and future capabilities of X-ray spectromicroscopy are discussed based on coherence-limited imaging methods which will benefit from the dramatic increase in brightness expected from a diffraction-limited storage ring (DLSR). The methods discussed include advanced coherent diffraction techniques and nanoprobe-based real-space imaging using Fresnel zone plates or other diffractive optics whose performance is affected by the degree of coherence. The capabilities of current systems, improvements which can be expected, and some of the important scientific themes which will be impacted are described, with focus on energy materials applications. Potential performance improvements of these techniques based on anticipated DLSR performance are estimated. Several examples of energy sciences research problems which are out of reach of current instrumentation, but which might be solved with the enhanced DLSR performance, are discussed.

Making the State of the Art the Classroom Benchmark: A Climate Change Curriculum Based on Synthesis Science

NASA Astrophysics Data System (ADS)

Nicholas, K. A.

2014-12-01

A hallmark of science in the Anthropocene is the increasing use of synthesis efforts to distill ever-growing data into the best available scientific knowledge. Thousands of scientists contribute substantial amounts of time towards these efforts, with the aim of producing authoritative work as a basis for informing both further research priorities and policy decisions. Organizations such as the IPCC are increasing their efforts to disseminate their scientific findings to broader audiences, for example, using text and video summaries targeted for policymakers. However, the results of such synthesis efforts have rarely been disseminated further back in the pipeline, in the classrooms where scientific literacy is shaped. Here, I will describe an emerging initiative to develop a program to translate state-of-the-art scientific synthesis findings into a modular, flexible climate change curriculum. This initiative is envisioned to compliment rather than compete with existing curriculum development efforts. Examples from innovation labs in healthcare delivery and other fields will be used to demonstrate a model for how a small, interdisciplinary team of early-career experts can use their content and pedagogical knowledge to transform synthesis results into ready-to-use teaching materials. The benefits of such a curriculum include improved student learning through constructive alignment of thoughtfully designed teaching and learning activities and assessment activities to promote intended learning outcomes, as well as the real-world illustration of the method of scientific inquiry applied to socially relevant problems. The curriculum can also improve teaching experiences through increased efficiency in course preparation, and in sharing best practices with participating colleagues. Initial scoping will examine the needs of university teachers of climate change courses as the constituents of this curriculum, and possible support models to mainstream such efforts. Ultimately, using scientific syntheses as the basis for university curricula would help close the gap between research and classroom learning, promote increased scientific understanding, and help ensure that the resources devoted to scientific synthesis efforts are translated to broader benefits for society.

Science teacher candidates' perceptions about roles and nature of scientific models

NASA Astrophysics Data System (ADS)

Yenilmez Turkoglu, Ayse; Oztekin, Ceren

2016-05-01

Background: Scientific models have important roles in science and science education. For scientists, they provide a means for generating new knowledge or function as an accessible summary of scientific studies. In science education, on the other hand, they are accessible representations of abstract concepts, and are also organizational frameworks to teach and learn inaccessible facts. As being indispensable parts of learning and doing science, use of scientific models in science classes should be reinforced. At this point, uncovering pre-service science teachers' (PSTs) understandings of scientific models are of great importance since they will design and conduct teaching situations for their students. Purpose: The study aimed to provide an answer to the research question: What understandings do PSTs possess about scientific models? Sample: The sample of the study consisted of 14 PSTs enrolled in an Elementary Science Education program in a public university in Ankara, Turkey. Design and methods: Data were collected by using an open-item instrument and semi-structured interviews, and were analyzed by using qualitative data analysis methods. Results: Findings showed that PSTs held fragmented views of models by having informed views in some aspects while having naïve views on others. That is, although they displayed a constructivist orientation by acknowledging the presence of multiple models for the same phenomenon depending on scientists' perspectives or creativity involved in the production of scientific knowledge, PSTs also expressed logical positivist views by believing that models should be close to the real phenomena that they represent. Findings further revealed that PSTs generally conceptualized models' materialistic uses, yet they did not think much about their theoretical and conceptual uses. It was observed that roles like reifying and visualizing were overestimated and models were dominantly characterized as three-dimensional representations. Conclusions: It is clear that PSTs, having difficulties in grasping the concept of models, would possibly have problems in planning their lessons effectively and would not develop accurate concepts in their students. These findings apparently support the need for appropriate pedagogic training of PSTs to scientifically reflect on and professionally make use of models in science classes.

Science blogging: RealClimate.org and the Global Warming debate

NASA Astrophysics Data System (ADS)

Schmidt, G. A.

2006-12-01

The media and public policy debate suffer from an extreme form of Attention Deficit Disorder. Compared to the daily news cycle, the progress of scientific debate within the peer-reviewed literature is extremely slow. This puts serious scientists who work in relatively politicised fields (global warming, evolution, stem cell research and the like) at a huge disadvantage when it comes to having their voices heard above the noise. Since Dec 2004, RealClimate.org has been operating as a group blog (a web-based journal) run by climate scientists for interested members of the public and the media. The aim has been to provide the context for climate-related news stories that is often missing in the mainstream media and to explain the basics of our field to the often confused, but curious, members of the public. In particular, it has provided rapid reaction to mis-uses and abuses of scientific results by policy advocates across the spectrum. Reactions to the blog have been overwhelmingly (but not uniformly) positive from both professionals in the media, the scientific community and the public. It has been described as the 'go-to site' for climate science in the New York Times, and received a Scientific American Science and Technology Web award in 2005. I will discuss what impacts RealClimate may have had and the pluses and minuses of trying to reach the public through this kind of outlet.

Exploration on the reform of the science and engineering experiment teaching based on the combination with teaching and scientific research

NASA Astrophysics Data System (ADS)

Song, Peng

2017-08-01

The existing problems of the experiment education in colleges and universities are analyzed. Take the science and engineering specialty as example, the idea of the combination with teaching and scientific research is discussed. The key problems are how the scientific research and scientific research achievements are used effectively in the experiment education, how to effectively use scientific research laboratories and scientific researchers. Then, a specialty experiment education system is established which is good for the teaching in accordance of all students' aptitude. The research in this paper can give the construction of the experiment teaching methods and the experiment system reform for the science and engineering specialties in colleges and universities.

The Impossibility of "Real-Life" Word Problems (According to Bakhtin, Lacan, Zizek and Baudrillard)

ERIC Educational Resources Information Center

Gerofsky, Susan

2010-01-01

In recent years a great deal of work on mathematical word problems has focused on efforts to bring more of "real life" into the problems themselves and students' uptake of these problems. Following on from earlier studies of the word problem as a pedagogical and literary genre, the author argues that we cannot unproblematically assume an ability…

Ambiguous Science and the Visual Representation of the Real

ERIC Educational Resources Information Center

Newbold, Curtis Robert

2012-01-01

The emergence of visual media as prominent and even expected forms of communication in nearly all disciplines, including those scientific, has raised new questions about how the art and science of communication epistemologically affect the interpretation of scientific phenomena. In this dissertation I explore how the influence of aesthetics in…

Jupiter Quest: A Path to Scientific Discovery.

ERIC Educational Resources Information Center

Bollman, Kelly A.; Rodgers, Mark H.; Mauller, Robert L.

2001-01-01

To experience the world of professional science, students must have access to the scientific community and be allowed to become real scientists. A partnership involving the National Aeronautics and Space Administration, the Jet Propulsion Laboratory, and the Lewis Center for Educational Research has produced Jupiter Quest, an engaging curriculum…

Perception in the Invisible World of Physics.

ERIC Educational Resources Information Center

Novemsky, Lisa; Gautreau, Ronald

Physics learning involves a change in the habitual perception of the everyday world. In order to describe the real world scientifically, an individual must develop perception and cognition capable of reconstructing the world from raw sensory data and incorporating acquired knowledge of the scientific community. The introductory physics student…

Bringing Scientific Inquiry Alive Using Real Grass Shrimp Research

ERIC Educational Resources Information Center

Aultman, Terry; Curran, Mary Carla; Partridge, Michael

2010-01-01

This lesson was developed for middle school students using actual research on grass shrimp ("Palaemonetes pugio") to illustrate the process of a scientific investigation. The research was conducted at Savannah State University and funded by the National Oceanic and Atmospheric Administration (NOAA) Office of Education through the Living Marine…

S'COOL Science

ERIC Educational Resources Information Center

Bryson, Linda

2004-01-01

This article describes one fifth grade's participation in in NASA's S'COOL (Students' Cloud Observations On-Line) Project, making cloud observations, reporting them online, exploring weather concepts, and gleaning some of the things involved in authentic scientific research. S?COOL is part of a real scientific study of the effect of clouds on…

Research Thinking Development by Teaching Archaeoastronomy

NASA Astrophysics Data System (ADS)

Muglova, P. V.; Stoev, A. D.

2006-08-01

A model of research thinking development by teaching archaeoastronomy in specialized three-year extra-curriculum Astronomy programme and creation of favourable socio-educational surroundings is suggested. It is shown as a didactic system of conditions, influences and possibilities of answering specific hierarchic complex of personal needs in the 14 - 18 year age interval. Transformation of these needs in worldly values secures an active position of the students in the educational process and determines their personality development. It is also shown that the Archaeoastronomy School, as an educational environment, executes specific work of students' teaching, upbringing and progress as well as their inclusion in the real process of scientific research. Thus, they have the possibility of generating scientific ideas and obtaining results in the science archaeoastronomy. In consequence of this, their activity acquires social significance. Usages of this model of scientific school in the extra-curriculum Astronomy education reproduces norms and traditions of the real scientific research and directly relay subject content, cultural norms and values of archaeoastronomy in the educative process. Students' participation in archaeoastronomical expeditions, their competent work during the research of concrete archaeoastronomical objects create an investigation style of thinking and steady habits of scientific activity.

A Physical Validation Program for the GPM Mission

NASA Technical Reports Server (NTRS)

Smith, Eric A.

2003-01-01

The GPM mission is currently planned for start in the late 2007 - early 2008 time frame. Its main scientific goal is to help answer pressing scientific problems arising within the context of global and regional water cycling. These problems cut across a hierarchy of scales and include climate-water cycle interactions, techniques for improving weather and climate predictions, and better methods for combining observed precipitation with hydrometeorological prediction models for applications to hazardous flood-producing storms, seasonal flood draught conditions, and fresh water resource assessments. The GPM mission will expand the scope of precipitation measurement through the use of a constellation of some 9 satellites, one of which will be an advanced TRMM-like core satellite carrying a dual-frequency Ku-Ka band precipitation radar and an advanced, multifrequency passive microwave radiometer with vertical-horizontal polarization discrimination. The other constellation members will include new dedicated satellites and co-existing operational/research satellites carrying similar (but not identical) passive microwave radiometers. The goal of the constellation is to achieve approximately 3-hour sampling at any spot on the globe -- continuously. The constellation's orbit architecture will consist of a mix of sun-synchronous and non-sun-synchronous satellites with the core satellite providing measurements of cloud-precipitation microphysical processes plus calibration-quality rainrate retrievals to be used with the other retrieval information to ensure bias-free constellation coverage. A major requirement before the retrieved rainfall information generated by the GPM mission can be used effectively by prognostic models to improve weather forecasts, hydrometeorological forecasts, and climate model reanalysis simulations is a capability to quantify the error characteristics of the retrievals. A solution for this problem has been upheld in past precipitation missions because of the lack of suitable error modeling systems incorporated into the validation programs and data distribution systems. An overview of how NASA intends to overcome this problem for the GPM mission using a physically-based error modeling approach within a multi-faceted validation program is described. The solution is to first identify specific user requirements and then determine the most stringent of these requirements that embodies all essential error characterization information needed by the entire user community. In the context of NASA s scientific agenda for the GPM mission, the most stringent user requirement is found within the data assimilation community. The fundamental theory of data assimilation vis-a-vis ingesting satellite precipitation information into the pre-forecast initializations is based on quantifying the conditional bias and precision errors of individual rain retrievals, and the space-time structure of the precision error (i.e., the spatial-temporal error covariance). By generating the hardware and software capability to produce this information in a near real-time fashion, and to couple the derived quantitative error properties to the actual retrieved rainrates, all key validation users can be satisfied. The talk will describe the essential components of the hardware and software systems needed to generate such near real-time error properties, as well as the various paradigm shifts needed within the validation community to produce a validation program relevant to the precipitation user community.

Citizen Science as a REAL Environment for Authentic Scientific Inquiry

ERIC Educational Resources Information Center

Meyer, Nathan J.; Scott, Siri; Strauss, Andrea Lorek; Nippolt, Pamela L.; Oberhauser, Karen S.; Blair, Robert B.

2014-01-01

Citizen science projects can serve as constructivist learning environments for programming focused on science, technology, engineering, and math (STEM) for youth. Attributes of "rich environments for active learning" (REALs) provide a framework for design of Extension STEM learning environments. Guiding principles and design strategies…

Introducing the MCHF/OVRP/SDMP: Multicapacitated/Heterogeneous Fleet/Open Vehicle Routing Problems with Split Deliveries and Multiproducts

PubMed Central

Yilmaz Eroglu, Duygu; Caglar Gencosman, Burcu; Cavdur, Fatih; Ozmutlu, H. Cenk

2014-01-01

In this paper, we analyze a real-world OVRP problem for a production company. Considering real-world constrains, we classify our problem as multicapacitated/heterogeneous fleet/open vehicle routing problem with split deliveries and multiproduct (MCHF/OVRP/SDMP) which is a novel classification of an OVRP. We have developed a mixed integer programming (MIP) model for the problem and generated test problems in different size (10–90 customers) considering real-world parameters. Although MIP is able to find optimal solutions of small size (10 customers) problems, when the number of customers increases, the problem gets harder to solve, and thus MIP could not find optimal solutions for problems that contain more than 10 customers. Moreover, MIP fails to find any feasible solution of large-scale problems (50–90 customers) within time limits (7200 seconds). Therefore, we have developed a genetic algorithm (GA) based solution approach for large-scale problems. The experimental results show that the GA based approach reaches successful solutions with 9.66% gap in 392.8 s on average instead of 7200 s for the problems that contain 10–50 customers. For large-scale problems (50–90 customers), GA reaches feasible solutions of problems within time limits. In conclusion, for the real-world applications, GA is preferable rather than MIP to reach feasible solutions in short time periods. PMID:25045735

Testing Scientific Software: A Systematic Literature Review.

PubMed

Kanewala, Upulee; Bieman, James M

2014-10-01

Scientific software plays an important role in critical decision making, for example making weather predictions based on climate models, and computation of evidence for research publications. Recently, scientists have had to retract publications due to errors caused by software faults. Systematic testing can identify such faults in code. This study aims to identify specific challenges, proposed solutions, and unsolved problems faced when testing scientific software. We conducted a systematic literature survey to identify and analyze relevant literature. We identified 62 studies that provided relevant information about testing scientific software. We found that challenges faced when testing scientific software fall into two main categories: (1) testing challenges that occur due to characteristics of scientific software such as oracle problems and (2) testing challenges that occur due to cultural differences between scientists and the software engineering community such as viewing the code and the model that it implements as inseparable entities. In addition, we identified methods to potentially overcome these challenges and their limitations. Finally we describe unsolved challenges and how software engineering researchers and practitioners can help to overcome them. Scientific software presents special challenges for testing. Specifically, cultural differences between scientist developers and software engineers, along with the characteristics of the scientific software make testing more difficult. Existing techniques such as code clone detection can help to improve the testing process. Software engineers should consider special challenges posed by scientific software such as oracle problems when developing testing techniques.

Issues Involved in Developing Ada Real-Time Systems

DTIC Science & Technology

1989-02-15

expensive modifications to the compiler or Ada runtime system to fit a particular application. Whether we can solve the problems of programming real - time systems in...lock in solutions to problems that are not yet well understood in standards as rigorous as the Ada language. Moreover, real - time systems typically have

Computing through Scientific Abstractions in SysBioPS

DOE Office of Scientific and Technical Information (OSTI.GOV)

Chin, George; Stephan, Eric G.; Gracio, Deborah K.

2004-10-13

Today, biologists and bioinformaticists have a tremendous amount of computational power at their disposal. With the availability of supercomputers, burgeoning scientific databases and digital libraries such as GenBank and PubMed, and pervasive computational environments such as the Grid, biologists have access to a wealth of computational capabilities and scientific data at hand. Yet, the rapid development of computational technologies has far exceeded the typical biologist’s ability to effectively apply the technology in their research. Computational sciences research and development efforts such as the Biology Workbench, BioSPICE (Biological Simulation Program for Intra-Cellular Evaluation), and BioCoRE (Biological Collaborative Research Environment) are importantmore » in connecting biologists and their scientific problems to computational infrastructures. On the Computational Cell Environment and Heuristic Entity-Relationship Building Environment projects at the Pacific Northwest National Laboratory, we are jointly developing a new breed of scientific problem solving environment called SysBioPSE that will allow biologists to access and apply computational resources in the scientific research context. In contrast to other computational science environments, SysBioPSE operates as an abstraction layer above a computational infrastructure. The goal of SysBioPSE is to allow biologists to apply computational resources in the context of the scientific problems they are addressing and the scientific perspectives from which they conduct their research. More specifically, SysBioPSE allows biologists to capture and represent scientific concepts and theories and experimental processes, and to link these views to scientific applications, data repositories, and computer systems.« less

Student-Driven Engagement: An Interdisciplinary-Team Research-Learning Renewable Energy Laboratory Experience for Undergraduates

NASA Astrophysics Data System (ADS)

Tuominen, Mark

How does engagement and deep learning happen? Every science department seeks to cultivate an excellent level of scientific skills and knowledge in its undergraduate students. Yet, this is not sufficient to thrive as a professional. Engaging directly in real-world challenges can foster a professional attitude: a high level of self-efficacy, a genuine sense of relevance, and proactivity. This talk will describe pedagogical developments of a junior-year renewable energy laboratory course at the University of Massachusetts Amherst that is part of a four-year Integrated Concentration in Science (iCons) program. Over the four years, the interdisciplinary iCons students-from 24 various majors-work through case studies, selection and analysis of real-world problems, inception and development of potential solutions, integrative communication, experimental practice, and capstone research. The team dynamic is a central aspect of the experience, yielding significant educational and developmental benefits. The third-year energy course uses adopts a culture of a small vibrant R and D company (I3E - ``Energy, Powered By Intelligence''), in which every person in the course has a vital responsibility and creative resourcefulness must be employed in the project work. The course emphasizes the practice of using reflection and redesign, as a means of generating better solutions and embedding the practice of learning in a real-world context. This work is supported in part by NSF Grant DUE-1140805.

Finite Adaptation and Multistep Moves in the Metropolis-Hastings Algorithm for Variable Selection in Genome-Wide Association Analysis

PubMed Central

Peltola, Tomi; Marttinen, Pekka; Vehtari, Aki

2012-01-01

High-dimensional datasets with large amounts of redundant information are nowadays available for hypothesis-free exploration of scientific questions. A particular case is genome-wide association analysis, where variations in the genome are searched for effects on disease or other traits. Bayesian variable selection has been demonstrated as a possible analysis approach, which can account for the multifactorial nature of the genetic effects in a linear regression model. Yet, the computation presents a challenge and application to large-scale data is not routine. Here, we study aspects of the computation using the Metropolis-Hastings algorithm for the variable selection: finite adaptation of the proposal distributions, multistep moves for changing the inclusion state of multiple variables in a single proposal and multistep move size adaptation. We also experiment with a delayed rejection step for the multistep moves. Results on simulated and real data show increase in the sampling efficiency. We also demonstrate that with application specific proposals, the approach can overcome a specific mixing problem in real data with 3822 individuals and 1,051,811 single nucleotide polymorphisms and uncover a variant pair with synergistic effect on the studied trait. Moreover, we illustrate multimodality in the real dataset related to a restrictive prior distribution on the genetic effect sizes and advocate a more flexible alternative. PMID:23166669

The Workshop Program on Authentic Assessment for Science Teachers

NASA Astrophysics Data System (ADS)

Rustaman, N. Y.; Rusdiana, D.; Efendi, R.; Liliawati, W.

2017-02-01

A study on implementing authentic assessment program through workshop was conducted to investigate the improvement of the competence of science teachers in designing performance assessment in real life situation at school level context. A number of junior high school science teachers and students as participants were involved in this study. Data was collected through questionnaire, observation sheets, and pre-and post-test during 4 day workshop. This workshop had facilitated them direct experience with seventh grade junior high school students during try out. Science teachers worked in group of four and communicated each other by think-pair share in cooperative learning approach. Research findings show that generally the science teachers’ involvement and their competence in authentic assessment improved. Their knowledge about the nature of assessment in relation to the nature of science and its instruction was improved, but still have problem in integrating their design performance assessment to be implemented in their lesson plan. The 7th grade students enjoyed participating in the science activities, and performed well the scientific processes planned by group of science teachers. The response of science teachers towards the workshop was positive. They could design the task and rubrics for science activities, and revised them after the implementation towards the students. By participating in this workshop they have direct experience in designing and trying out their ability within their professional community in real situation towards their real students in junior high school.

Nanomedicine: Problem Solving to Treat Cancer

ERIC Educational Resources Information Center

Hemling, Melissa A.; Sammel, Lauren M.; Zenner, Greta; Payne, Amy C.; Crone, Wendy C.

2006-01-01

Many traditional classroom science and technology activities often ask students to complete prepackaged labs that ensure that everyone arrives at the same "scientifically accurate" solution or theory, which ignores the important problem-solving and creative aspects of scientific research and technological design. Students rarely have the…

The Real Wealth Purchased in a New England Fish Dinner

EPA Science Inventory

There is a growing realization within the scientific community and the public at large that the environment makes a real contribution to wealth that is not adequately valued by markets. In addition, almost everyone recognizes the feeling if they are getting a “good deal&rdq...

Pure science and the problem of progress.

PubMed

Douglas, Heather

2014-06-01

How should we understand scientific progress? Kuhn famously discussed science as its own internally driven venture, structured by paradigms. He also famously had a problem describing progress in science, as problem-solving ability failed to provide a clear rubric across paradigm change--paradigm changes tossed out problems as well as solving them. I argue here that much of Kuhn's inability to articulate a clear view of scientific progress stems from his focus on pure science and a neglect of applied science. I trace the history of the distinction between pure and applied science, showing how the distinction came about, the rhetorical uses to which the distinction has been put, and how pure science came to be both more valued by scientists and philosophers. I argue that the distinction between pure and applied science does not stand up to philosophical scrutiny, and that once we relinquish it, we can provide Kuhn with a clear sense of scientific progress. It is not one, though, that will ultimately prove acceptable. For that, societal evaluations of scientific work are needed.

The way adults with orientation to mathematics teaching cope with the solution of everyday real-world problems

NASA Astrophysics Data System (ADS)

Gazit, Avikam; Patkin, Dorit

2012-03-01

The article aims to check the way adults, some who are practicing mathematics teachers at elementary school, some who are academicians making a career change to mathematics teachers at junior high school and the rest who are pre-service mathematics teachers at elementary school, cope with the solution of everyday real-world problems of buying and selling. The findings show that even adults with mathematical background tend to make mistakes in solving everyday real-world problems. Only about 70% of the adults who have an orientation to mathematics solved the sample problem correctly. The lowest percentage of success was demonstrated by the academicians making a career change to junior high school mathematics teachers whereas the highest percentage of success was manifested by pre-service elementary school mathematics teachers. Moreover, the findings illustrate that life experience of the practicing mathematics teachers and, mainly, of the academicians making a career change, who were older than the pre-service teachers, did not facilitate the solution of such a real-world problem. Perhaps the reason resides in the process of mathematics teaching at school, which does not put an emphasis on the solution of everyday real-world problems.

Alternative Energy and Propulsion Power for Today’s US Military

DTIC Science & Technology

2009-05-05

the Problem ........................................................................................4 Real Illustrations of the Problem ...taken to reduce its grip on fossil fuels. Further Defining the Problem In 2006 testimony before the US Congress, a DoD representative stated that...necessities of our military.12 Real Illustrations of the Problem Warfighting commanders in the field are requesting alternatives to petroleum based energy. In

New insights from DEM's into form, process and causality in Distributive Fluvial Systems

NASA Astrophysics Data System (ADS)

Scuderi, Louis; Weissmann, Gary; Hartley, Adrian; Kindilien, Peter

2014-05-01

Recent developments in platforms and sensors, as well as advances in our ability to access these rich data sources in near real time presents geoscientists with both opportunities and problems. We currently record raster and point cloud data about the physical world at unprecedented rates with extremely high spatial and spectral resolution. Yet the ability to extract scientifically useful knowledge from such immense data sets has lagged considerably. The interrelated fields of database creation, data mining and modern geostatistics all focus on such interdisciplinary data analysis problems. In recent years these fields have made great advances in analyzing the complex real-world data such as that captured in Digital Elevation Models (DEM's) and satellite imagery and by LIDAR and other geospatially referenced data sets. However, even considering the vast increase in the use of these data sets in the past decade these methods have enjoyed only a relatively modest penetration into the geosciences when compared to data analysis in other scientific disciplines. In part, a great deal of the current research weakness is due to the lack of a unifying conceptual approach and the failure to appreciate the value of highly structured and synthesized compilations of data, organized in user-friendly formats. We report on the application of these new technologies and database approaches to global scale parameterization of Distributive Fluvial Systems (DFS) within continental sedimentary basins and illustrate the value of well-constructed databases and tool-rich analysis environments for understanding form, process and causality in these systems. We analyzed the characteristics of aggradational fluvial systems in more than 700 modern continental sedimentary basins and the links between DFS within these systems and their contributing drainage basins. Our studies show that in sedimentary basins, distributive fluvial and alluvial systems dominate the depositional environment. Consequently, we have found that studies of modern tributary drainage systems in degradational settings are likely insufficient for understanding the geomorphology expressed within these basins and ultimately for understanding the basin-scale architecture of dominantly distributive fluvial deposits preserved in the rock record.

Problem based learning: the effect of real time data on the website to student independence

NASA Astrophysics Data System (ADS)

Setyowidodo, I.; Pramesti, Y. S.; Handayani, A. D.

2018-05-01

Learning science developed as an integrative science rather than disciplinary education, the reality of the nation character development has not been able to form a more creative and independent Indonesian man. Problem Based Learning based on real time data in the website is a learning method focuses on developing high-level thinking skills in problem-oriented situations by integrating technology in learning. The essence of this study is the presentation of authentic problems in the real time data situation in the website. The purpose of this research is to develop student independence through Problem Based Learning based on real time data in website. The type of this research is development research with implementation using purposive sampling technique. Based on the study there is an increase in student self-reliance, where the students in very high category is 47% and in the high category is 53%. This learning method can be said to be effective in improving students learning independence in problem-oriented situations.

The JINR Tier1 Site Simulation for Research and Development Purposes

NASA Astrophysics Data System (ADS)

Korenkov, V.; Nechaevskiy, A.; Ososkov, G.; Pryahina, D.; Trofimov, V.; Uzhinskiy, A.; Voytishin, N.

2016-02-01

Distributed complex computing systems for data storage and processing are in common use in the majority of modern scientific centers. The design of such systems is usually based on recommendations obtained via a preliminary simulated model used and executed only once. However big experiments last for years and decades, and the development of their computing system is going on, not only quantitatively but also qualitatively. Even with the substantial efforts invested in the design phase to understand the systems configuration, it would be hard enough to develop a system without additional research of its future evolution. The developers and operators face the problem of the system behaviour predicting after the planned modifications. A system for grid and cloud services simulation is developed at LIT (JINR, Dubna). This simulation system is focused on improving the effciency of the grid/cloud structures development by using the work quality indicators of some real system. The development of such kind of software is very important for making a new grid/cloud infrastructure for such big scientific experiments like the JINR Tier1 site for WLCG. The simulation of some processes of the Tier1 site is considered as an example of our application approach.

Predicting species distributions for conservation decisions

PubMed Central

Guisan, Antoine; Tingley, Reid; Baumgartner, John B; Naujokaitis-Lewis, Ilona; Sutcliffe, Patricia R; Tulloch, Ayesha I T; Regan, Tracey J; Brotons, Lluis; McDonald-Madden, Eve; Mantyka-Pringle, Chrystal; Martin, Tara G; Rhodes, Jonathan R; Maggini, Ramona; Setterfield, Samantha A; Elith, Jane; Schwartz, Mark W; Wintle, Brendan A; Broennimann, Olivier; Austin, Mike; Ferrier, Simon; Kearney, Michael R; Possingham, Hugh P; Buckley, Yvonne M

2013-01-01

Species distribution models (SDMs) are increasingly proposed to support conservation decision making. However, evidence of SDMs supporting solutions for on-ground conservation problems is still scarce in the scientific literature. Here, we show that successful examples exist but are still largely hidden in the grey literature, and thus less accessible for analysis and learning. Furthermore, the decision framework within which SDMs are used is rarely made explicit. Using case studies from biological invasions, identification of critical habitats, reserve selection and translocation of endangered species, we propose that SDMs may be tailored to suit a range of decision-making contexts when used within a structured and transparent decision-making process. To construct appropriate SDMs to more effectively guide conservation actions, modellers need to better understand the decision process, and decision makers need to provide feedback to modellers regarding the actual use of SDMs to support conservation decisions. This could be facilitated by individuals or institutions playing the role of ‘translators’ between modellers and decision makers. We encourage species distribution modellers to get involved in real decision-making processes that will benefit from their technical input; this strategy has the potential to better bridge theory and practice, and contribute to improve both scientific knowledge and conservation outcomes. PMID:24134332

Information from imagery: ISPRS scientific vision and research agenda

NASA Astrophysics Data System (ADS)

Chen, Jun; Dowman, Ian; Li, Songnian; Li, Zhilin; Madden, Marguerite; Mills, Jon; Paparoditis, Nicolas; Rottensteiner, Franz; Sester, Monika; Toth, Charles; Trinder, John; Heipke, Christian

2016-05-01

With the increased availability of very high-resolution satellite imagery, terrain based imaging and participatory sensing, inexpensive platforms, and advanced information and communication technologies, the application of imagery is now ubiquitous, playing an important role in many aspects of life and work today. As a leading organisation in this field, the International Society for Photogrammetry and Remote Sensing (ISPRS) has been devoted to effectively and efficiently obtaining and utilising information from imagery since its foundation in the year 1910. This paper examines the significant challenges currently facing ISPRS and its communities, such as providing high-quality information, enabling advanced geospatial computing, and supporting collaborative problem solving. The state-of-the-art in ISPRS related research and development is reviewed and the trends and topics for future work are identified. By providing an overarching scientific vision and research agenda, we hope to call on and mobilise all ISPRS scientists, practitioners and other stakeholders to continue improving our understanding and capacity on information from imagery and to deliver advanced geospatial knowledge that enables humankind to better deal with the challenges ahead, posed for example by global change, ubiquitous sensing, and a demand for real-time information generation.

Using an evidence-based approach for system selection at a large academic medical center: lessons learned in selecting an ambulatory EMR at Mount Sinai Hospital.

PubMed

Kannry, Joseph; Mukani, Sonia; Myers, Kristin

2006-01-01

The experience of Mount Sinai Hospital is representative of the challenges and problems facing large academic medical centers in selecting an ambulatory EMR. The facility successfully revived a stalled process in a challenging financial climate, using a framework of science and rigorous investigation. The process incorporated several innovations: 1) There was a thorough review of medical informatics literature to develop a mission statement, determine practical objectives and guide the demonstration process; 2) The process involved rigorous investigation of vendor statements, industry statements and other institution's views of vendors; 3) The initiative focused on user-centric selection, and the survey instrument was scientifically and specifically designed to assess user feedback; 4) There was scientific analysis of validated findings and survey results at all steering meetings; 5) The process included an assessment of vendors' ability to support research by identifying funded and published research; 6) Selection involved meticulous total cost of ownership analysis to assess and compare real costs of implementing a vendor solution; and finally, 7) There were iterative meetings with stakeholders, executives and users to understand needs, address concerns and communicate the vision.

Mental maps and travel behaviour: meanings and models

NASA Astrophysics Data System (ADS)

Hannes, Els; Kusumastuti, Diana; Espinosa, Maikel León; Janssens, Davy; Vanhoof, Koen; Wets, Geert

2012-04-01

In this paper, the " mental map" concept is positioned with regard to individual travel behaviour to start with. Based on Ogden and Richards' triangle of meaning (The meaning of meaning: a study of the influence of language upon thought and of the science of symbolism. International library of psychology, philosophy and scientific method. Routledge and Kegan Paul, London, 1966) distinct thoughts, referents and symbols originating from different scientific disciplines are identified and explained in order to clear up the notion's fuzziness. Next, the use of this concept in two major areas of research relevant to travel demand modelling is indicated and discussed in detail: spatial cognition and decision-making. The relevance of these constructs to understand and model individual travel behaviour is explained and current research efforts to implement these concepts in travel demand models are addressed. Furthermore, these mental map notions are specified in two types of computational models, i.e. a Bayesian Inference Network (BIN) and a Fuzzy Cognitive Map (FCM). Both models are explained, and a numerical and a real-life example are provided. Both approaches yield a detailed quantitative representation of the mental map of decision-making problems in travel behaviour.

Young Engineers and Scientists: a Mentorship Program

NASA Astrophysics Data System (ADS)

Boice, Daniel C.; Wuest, Martin; Marilyn, Koch B.

The Young Engineers and Scientists (YES) Program is a community partnership between Southwest Research Institute (SwRI) and local high schools in San Antonio Texas (USA). It provides talented high school juniors and seniors a bridge between classroom instruction and real-world research experiences in physical sciences and engineering. YES consists of two parts: 1) an intensive three-week summer workshop held at SwRI where students experience the research environment first-hand; develop skills and acquire tools for solving scientific problems attend mini-courses and seminars on electronics computers and the Internet careers science ethics and other topics; and select individual research projects to be completed during the academic year; and 2) a collegial mentorship where students complete individual research projects under the guidance of their mentors during the academic year and earn honors credit. At the end of the school year students publicly present and display their work acknowledging their accomplishments and spreading career awareness to other students and teachers. YES has been highly successful during the past 10 years. All YES graduates have entered college several have worked for SwRI and three scientific publications have resulted. Student evaluations indicate the effectiveness of YES on their academic preparation and choice of college majors.

Hazardous and Toxic Waste (HTW) Contracting Problems: A Study of the Contracting Problems Related to Surety Bonding in the HTW Cleanup Program

DTIC Science & Technology

1990-07-01

Fair value of solely owned real estate* $ b. All mortgages or other encumbrances on the real estate included in Line a c. Real estate equity (subtract...Line b from Line a) d. Fair value of all solely owned property other than real estate* e. Total of the amounts on Lines c and d f. All other

"Getting Our Story Straight: Taking the scientific process out of science communication"

NASA Astrophysics Data System (ADS)

Hirschland, M.

2011-12-01

Conveying the implications and applications of our science is becoming more, not less difficult. With media and policy debates around scientific issues fraught with gridlock, misinformation and confusion, we must recognize that the scientific process itself often contributes more noise than clarity. For science to occupy more of a privileged and influential place in the public and policy discourse, this must change. From the perspective of a communications professional, this presentation offers solutions. Efforts to remedy this have disproportionately focused on training scientists to be "better" communicators. While this is necessary, it is far from sufficient in building the type of public trust and authority that really moves the credibility needle and our impact. By itself, a train the scientist approach actually complicates the issue by unleashing hoards of trained "science communicators", trumpeting disconnected, qualified, and sometimes contradictory messages. The result, from the public's perspective, is a focus on the sausage making elements of science, rather than the sausages - or the real consensus messages resulting from our work. What is required is much better coordination in terms of framing and amplifying clear messages and findings around areas where real consensus exists, and a similar focus on deemphasizing those that occupy the opinion tails. Other sectors including government, corporates and medical sciences understand and practice this to better effect in building public consensus. The correctives to this are threefold: -Recognize that the scientific process, while excellent for doing science, is an awful way to communicate clearly. Publicly airing out the debates that are part and parcel of a healthy scientific discourse is a sure recipe for confusion. -Create and bolster better coordination mechanisms for consensus message building and delivery. Professional associations can and must play a more central convening and shaping role when it comes to key message shaping, timing and delivery. -Better leverage the tools, lessons and expertise of the communications profession. Often, communication is thought of as something everyone either can or should do. Other institutions regularly engage highly skilled experts to help build and shape messages for intended results. Better leveraging this group and their body of knowledge will pay great dividends. All of these correctives are predicated on agreement that as a community we a) have a problem, b) can be disciplined and committed to promoting consensus views (as are those that seek to call into question our work), and c) are willing to examine our own incentive structures that push elements of scientific debate into the open that are better left behind closed doors. As long as scientists continue delivering multiple, and often competing messages, we should not be incredulous that non-scientists continue to doubt even those consensus views that have been hard won and remain squarely built on fact.

Energy Consumption Management of Virtual Cloud Computing Platform

NASA Astrophysics Data System (ADS)

Li, Lin

2017-11-01

For energy consumption management research on virtual cloud computing platforms, energy consumption management of virtual computers and cloud computing platform should be understood deeper. Only in this way can problems faced by energy consumption management be solved. In solving problems, the key to solutions points to data centers with high energy consumption, so people are in great need to use a new scientific technique. Virtualization technology and cloud computing have become powerful tools in people’s real life, work and production because they have strong strength and many advantages. Virtualization technology and cloud computing now is in a rapid developing trend. It has very high resource utilization rate. In this way, the presence of virtualization and cloud computing technologies is very necessary in the constantly developing information age. This paper has summarized, explained and further analyzed energy consumption management questions of the virtual cloud computing platform. It eventually gives people a clearer understanding of energy consumption management of virtual cloud computing platform and brings more help to various aspects of people’s live, work and son on.

Impact of an inquiry unit on grade 4 students' science learning

NASA Astrophysics Data System (ADS)

Di Mauro, María Florencia; Furman, Melina

2016-09-01

This paper concerns the identification of teaching strategies that enhance the development of 4th grade students' experimental design skills at a public primary school in Argentina. Students' performance in the design of relevant experiments was evaluated before and after an eight-week intervention compared to a control group, as well as the persistence of this learning after eight months. The study involved a quasi-experimental longitudinal study with pre-test/post-test/delayed post-test measures, complemented with semi-structured interviews with randomly selected students. Our findings showed improvement in the experimental design skills as well as its sustainability among students working with the inquiry-based sequence. After the intervention, students were able to establish valid comparisons, propose pertinent designs and identify variables that should remain constant. Contrarily, students in the control group showed no improvement and continued to solve the posed problems based on prior beliefs. In summary, this paper shows evidence that implementing inquiry-based units involving problems set in cross-domain everyday situations that combine independent student work with teacher guidance significantly improves the development of scientific skills in real classroom contexts.

On Chaotic and Hyperchaotic Complex Nonlinear Dynamical Systems

NASA Astrophysics Data System (ADS)

Mahmoud, Gamal M.

Dynamical systems described by real and complex variables are currently one of the most popular areas of scientific research. These systems play an important role in several fields of physics, engineering, and computer sciences, for example, laser systems, control (or chaos suppression), secure communications, and information science. Dynamical basic properties, chaos (hyperchaos) synchronization, chaos control, and generating hyperchaotic behavior of these systems are briefly summarized. The main advantage of introducing complex variables is the reduction of phase space dimensions by a half. They are also used to describe and simulate the physics of detuned laser and thermal convection of liquid flows, where the electric field and the atomic polarization amplitudes are both complex. Clearly, if the variables of the system are complex the equations involve twice as many variables and control parameters, thus making it that much harder for a hostile agent to intercept and decipher the coded message. Chaotic and hyperchaotic complex systems are stated as examples. Finally there are many open problems in the study of chaotic and hyperchaotic complex nonlinear dynamical systems, which need further investigations. Some of these open problems are given.

Urogenital tuberculosis: definition and classification.

PubMed

Kulchavenya, Ekaterina

2014-10-01

To improve the approach to the diagnosis and management of urogenital tuberculosis (UGTB), we need clear and unique classification. UGTB remains an important problem, especially in developing countries, but it is often an overlooked disease. As with any other infection, UGTB should be cured by antibacterial therapy, but because of late diagnosis it may often require surgery. Scientific literature dedicated to this problem was critically analyzed and juxtaposed with the author's own more than 30 years' experience in tuberculosis urology. The conception, terms and definition were consolidated into one system; classification stage by stage as well as complications are presented. Classification of any disease includes dispersion on forms and stages and exact definitions for each stage. Clinical features and symptoms significantly vary between different forms and stages of UGTB. A simple diagnostic algorithm was constructed. UGTB is multivariant disease and a standard unified approach to it is impossible. Clear definition as well as unique classification are necessary for real estimation of epidemiology and the optimization of therapy. The term 'UGTB' has insufficient information in order to estimate therapy, surgery and prognosis, or to evaluate the epidemiology.

[Dr Stockmann and Dr Snow--two heroes of public health].

PubMed

Nylenna, Magne

2003-12-23

Dr Thomas Stockmann, the main character of An enemy of the people by Henrik Ibsen (1828-1906), has been described as a hero of public health. In spite of his idealism and high principles, he was, however, not able to do anything about the contaminated water supply of the baths in the town where he lived. Important differences may be noticed if we compare the fictional Dr Stockmann with Dr John Snow (1813-58), a real hero of public health famous for his handling of a cholera epidemic in London in 1854. While Dr Snow carried out extensive investigations of the relation between water supply and illness and still was humble when presenting his findings, the fictional Dr Stockmann took only one sample of water for examination and was bombastic in his conclusion. And while Dr Snow had a simple suggestion for solving the problem, Dr Stockmann seemed more eager to dramatize the situation. Scientific documentation and a practical attitude to problem solving continue to be important in order to achieve results in the field of public health.

Patently Obvious: The Place for Patents in Information Literacy in the Sciences

ERIC Educational Resources Information Center

MacMillan, Don

2005-01-01

Patents are an underutilized source of scientific information, particularly in the life and health sciences. Patents and patent applications usually contain the first disclosure of new technologies and processes and serve to link theory with practice, providing "real world" examples of the application of scientific research. Increasingly,…

Meaningful Science: Teachers Doing Inquiry + Teaching Science.

ERIC Educational Resources Information Center

Kielborn, Terrie L., Ed.; Gilmer, Penny J., Ed.

This publication relates the experiences of seven K-8 teachers who participated in a science education doctoral cohort group during which each of the teachers engaged in a different real-world scientific research project. The idea was to immerse teachers in scientific research so that they could experience inquiry in science first-hand and become…

The Potential for Scientific Collaboration in Virtual Ecosystems

ERIC Educational Resources Information Center

Magerko, Brian

2010-01-01

This article explores the potential benefits of creating "virtual ecosystems" from real-world data. These ecosystems are intended to be realistic virtual representations of environments that may be costly or difficult to access in person. They can be constructed as 3D worlds rendered from stereo video data, augmented with scientific data, and then…

Making Meaning of Scientific Practices: Exploring the Pathways and Variations of Classrooms Engaging in Science Practices

ERIC Educational Resources Information Center

Ko, Mon-Lin Monica

2013-01-01

A focus of reforms in standards, learning environments, teacher preparation programs and professional development is to support teachers' and students' engagement with scientific practices such as argumentation, modeling and generating explanations for real-world phenomena (NRC, 2011). Engaging in these practices in authentic ways…

Cognitive Affordances of the Cyberinfrastructure for Science and Math Learning

ERIC Educational Resources Information Center

Martinez, Michael E.; Peters Burton, Erin E.

2011-01-01

The "cyberinfrastucture" is a broad informational network that entails connections to real-time data sensors as well as tools that permit visualization and other forms of analysis, and that facilitates access to vast scientific databases. This multifaceted network, already a major boon to scientific discovery, now shows exceptional promise in…

Making Real Virtual Labs

ERIC Educational Resources Information Center

Keller, Harry E.; Keller, Edward E.

2005-01-01

Francis Bacon began defining scientific methodology in the early 17th century, and secondary school science classes began to implement science labs in the mid-19th century. By the early 20th century, leading educators were suggesting that science labs be used to develop scientific thinking habits in young students, and at the beginning of the 21st…

Media Violence and the American Public: Scientific Facts versus Media Misinformation.

ERIC Educational Resources Information Center

Bushman, Brad J.; Anderson, Craig A.

2001-01-01

Discusses how news coverage on the connections between media violence and aggression have left the public confused, examining whether media violence mirrors real world violence and how news reports about media violence and aggression have changed over time. Highlights the entertainment industry and scientific community, discussing why they often…

Undergraduates' Ability to Recognize Correlational and Causal Language before and after Explicit Instruction

ERIC Educational Resources Information Center

Mueller, Jon F.; Coon, Heather M.

2013-01-01

The ability to distinguish between correlational and causal claims is core knowledge for scientific literacy. News reports of scientific research prominently feature these claims. Thus, this knowledge has significant real-world application, and distinguishing among claims is critical to making sense of the reported research. We constructed an…

Realism, Instrumentalism, and Scientific Symbiosis: Psychological Theory as a Search for Truth and the Discovery of Solutions

ERIC Educational Resources Information Center

Cacioppo, John T.; Semin, Gun R.; Berntson, Gary G.

2004-01-01

Scientific realism holds that scientific theories are approximations of universal truths about reality, whereas scientific instrumentalism posits that scientific theories are intellectual structures that provide adequate predictions of what is observed and useful frameworks for answering questions and solving problems in a given domain. These…

Exploring scientific creativity of eleventh-grade students in Taiwan

NASA Astrophysics Data System (ADS)

Liang, Jia-Chi

2002-04-01

Although most researchers focus on scientists' creativity, students' scientific creativity should be considered, especially for high school and college students. It is generally assumed that most professional creators in science emerge from amateur creators. Therefore, the purpose of this study is to investigate the relationship between students' scientific creativity and selected variables including creativity, problem finding, formulating hypotheses, science achievement, the nature of science, and attitudes toward science for finding significant predictors of eleventh grade students' scientific creativity. A total of 130 male eleventh-grade students in three biology classes participated in this study. The main instruments included the Test of Divergent Thinking (TDT) for creativity measurement, the Creativity Rating Scale (CRS) and the Creative Activities and Accomplishments Check Lists (CAACL ) for measurement of scientific creativity, the Nature of Scientific Knowledge Scale (NSKS) for measurement of the nature of science, and the Science Attitude Inventory II (SAI II) for measurement of attitudes toward science. In addition, two instruments on measuring students' abilities of problem finding and abilities of formulating hypotheses were developed by the researcher in this study. Data analysis involved descriptive statistics, Pearson product-moment correlations, and stepwise multiple regressions. The major findings suggested the following: (1) students' scientific creativity significantly correlated with some of selected variables such as attitudes toward science, problem finding, formulating hypotheses, the nature of science, resistance to closure, originality, and elaboration; (2) four significant predictors including attitudes toward science, problem finding, resistance to closure, and originality accounted for 48% of the variance of students' scientific creativity; (3) there were big differences between students with a higher and a lower degree of scientific creativity on the variables of family support, career images, and readings about science; and (4) many students were confused about the creative and moral levels on NSKS and the concept of "almighty of science" and purposes of science on SAI II. The results of this study may provide a more holistic and integrative interpretation of students' scientific creativity and propose better ways of evaluating students' scientific creativity. In addition, the research results may encourage teachers to view scientific creativity as an ability that can be enhanced through various means in classroom science teaching.

Adding intelligence to scientific data management

NASA Technical Reports Server (NTRS)

Campbell, William J.; Short, Nicholas M., Jr.; Treinish, Lloyd A.

1989-01-01

NASA plans to solve some of the problems of handling large-scale scientific data bases by turning to artificial intelligence (AI) are discussed. The growth of the information glut and the ways that AI can help alleviate the resulting problems are reviewed. The employment of the Intelligent User Interface prototype, where the user will generate his own natural language query with the assistance of the system, is examined. Spatial data management, scientific data visualization, and data fusion are discussed.

The Delaware Bay Estuary as a Classroom: A Research Experience for Future Elementary Grade-Level Teachers

NASA Astrophysics Data System (ADS)

Madsen, J.; Fifield, S.; Allen, D.; Shipman, H.; Ford, D.; Dagher, Z.; Brickhouse, N.

2004-05-01

With supplemental funding from the National Science Foundation (NSF), students from the University of Delaware's Science Semester course took part in a two-day research cruise in the Delaware Bay Estuary. The Science Semester, an NSF-funded project, is an integrated 15-credit sequence that encompasses the entire course work for the spring semester for approximately 60 sophomore-level elementary education majors. The semester includes the earth, life, and physical science content courses and the education science methods course integrated into one curriculum. In this curriculum, problem-based learning and other inquiry-based approaches are applied to foster integrated understandings of science and pedagogy that future elementary teachers need to effectively use inquiry-based approaches in their classrooms. The research cruise was conducted as part of one of the four major investigations during the course. The investigation focused on Delaware's state marine animal, Limulus polyphemus. It is one of the four remaining species of horseshoe crabs; the largest spawning population of Limulus is found in Delaware Bay. Within the problem- and inquiry-based learning approaches of the Science Semester course, the students became aware that very little data exists on the benthic habitat of Limulus polyphemus. In order to learn more about this habitat, a cohort of seven students from the course was recruited as part of the scientific party to take part in the research cruise to collect data on the floor of Delaware Bay. The data included: multibeam bathymetry/backscatter data, grab samples of bay bottom sediments, and CTD profiles. Prior to the cruise, all students in the course took part in laboratory exercises to learn about topographic maps and navigation charts using the Delaware Bay area as the region of study. While "at-sea", the cruise participants sent the ship's latitude and longitude positions as a function of time. The positions were used by the on-land students to investigate motion and data representation (e.g., distance vs. time, velocity vs. time plots). After the at-sea experience, and using the data collected, all of the students plotted the sampling locations on their navigation charts and examined and quantitatively described the bottom sediments collected with the grab samples. The CTD data were used to investigate solutions, salinity, and conductivity. The ability to participate in, and use the data collected from, the two-day cruise provided an excellent opportunity for these future elementary teachers to experience real-time scientific research. The students onboard the ship were able to observe, and more importantly, engage in the collection of data from an oceanographic research vessel. All of the students in the course through hands-on laboratory exercises were able to see the link between data collection and analysis and its subsequent interpretation within the scope of a real scientific problem, namely the study of the benthic habitat of an important marine animal.

Real-time remote scientific model validation

NASA Technical Reports Server (NTRS)

Frainier, Richard; Groleau, Nicolas

1994-01-01

This paper describes flight results from the use of a CLIPS-based validation facility to compare analyzed data from a space life sciences (SLS) experiment to an investigator's preflight model. The comparison, performed in real-time, either confirms or refutes the model and its predictions. This result then becomes the basis for continuing or modifying the investigator's experiment protocol. Typically, neither the astronaut crew in Spacelab nor the ground-based investigator team are able to react to their experiment data in real time. This facility, part of a larger science advisor system called Principal Investigator in a Box, was flown on the space shuttle in October, 1993. The software system aided the conduct of a human vestibular physiology experiment and was able to outperform humans in the tasks of data integrity assurance, data analysis, and scientific model validation. Of twelve preflight hypotheses associated with investigator's model, seven were confirmed and five were rejected or compromised.

Self-consistent adjoint analysis for topology optimization of electromagnetic waves

NASA Astrophysics Data System (ADS)

Deng, Yongbo; Korvink, Jan G.

2018-05-01

In topology optimization of electromagnetic waves, the Gâteaux differentiability of the conjugate operator to the complex field variable results in the complexity of the adjoint sensitivity, which evolves the original real-valued design variable to be complex during the iterative solution procedure. Therefore, the self-inconsistency of the adjoint sensitivity is presented. To enforce the self-consistency, the real part operator has been used to extract the real part of the sensitivity to keep the real-value property of the design variable. However, this enforced self-consistency can cause the problem that the derived structural topology has unreasonable dependence on the phase of the incident wave. To solve this problem, this article focuses on the self-consistent adjoint analysis of the topology optimization problems for electromagnetic waves. This self-consistent adjoint analysis is implemented by splitting the complex variables of the wave equations into the corresponding real parts and imaginary parts, sequentially substituting the split complex variables into the wave equations with deriving the coupled equations equivalent to the original wave equations, where the infinite free space is truncated by the perfectly matched layers. Then, the topology optimization problems of electromagnetic waves are transformed into the forms defined on real functional spaces instead of complex functional spaces; the adjoint analysis of the topology optimization problems is implemented on real functional spaces with removing the variational of the conjugate operator; the self-consistent adjoint sensitivity is derived, and the phase-dependence problem is avoided for the derived structural topology. Several numerical examples are implemented to demonstrate the robustness of the derived self-consistent adjoint analysis.

What Will Classroom Teachers Do With Shared Research Results?

NASA Astrophysics Data System (ADS)

Passow, M. J.; Weissel, J. K.; Cormier, M.; Newman, K. R.

2005-12-01

Scientists are passionate about the research problems they investigate, and wish to share their discoveries as widely as possible. Similarly, classroom teachers who are passionate about their subject can better foster student learning. One way to enhance such passions involves bringing teachers and scientists together to discuss cutting-edge discoveries and develop curricular materials based on the respective strengths of educators and investigators. Our presentation describes one example of this approach based on research about gas blowout structures offshore Virginia and North Carolina. Methane venting processes along continental margins may have important climatic, geotechnical, hazard, and resource implications. In 2000, shipboard surveys documented that large structures offshore VA-NC resulted from massive gas expulsion. Gas appears to be trapped in shelf edge deltas and stresses resulting from downslope creep is favoring its release. Scientists undertook a new expedition in 2004 to determine if there is present-day discharge of methane-rich fluids through the floors or walls of the blowouts or whether these seepage sites are relict features, and to gain insight into the origin of the vented methane. In July 2005, 12 teachers from New York and New Jersey met with the co-PIs (Weissel and Cormier), graduate student (Newman), and educational specialist (Passow) over a 2-day workshop to learn about how scientific problems are identified, how a research cruise is organized, what was learned through the measurements and analysis, and what might be possible significant impacts from such understandings. Based on what they learned, participants began development of classroom activities, Internet-based investigations, and constructed-response assessment items utilizing data and concepts from the project and other sources. The resulting curriculum units are designed for use in middle and high school chemistry, physics, earth science, and technology courses. Curricular units include "Using Real-Life Problems to Learn Scientific Principles," "Mapping the Unseen Floors," "Landslide or Not," and a board game based on conducting a scientific research cruise. Materials are available through www.earth2class.org. Over the following academic year, participants will continue to develop instructional materials, field-test them, and provide peer training through in-district and regional professional development opportunities. The scientists and educational specialist will provide support to ensure scientific accuracy and pedagogical soundness. The project will utilize DLESE as an additional effective dissemination and evaluation mechanism. In these ways, the scientists and core of educators may be able to share these discoveries with hundreds of teachers and thousands of students.

Risk as a social phenomenon.

PubMed

Jamison, Wesley V

2003-01-01

What do nuclear power, smoking, and eating beef have in common? The answer is multifaceted. They all share aspects of mass production and consumption, and therefore consumer confidence comes into play in evaluating each of the products' merits. They all produce some level of anxiety--be it in response to adverse media coverage, or the successes of adversarial interest groups in publicizing those products' weaknesses--among consumers who wonder what if any level of the product should be consumed. Finally, nuclear power, smoking, and eating beef all share risk; that is, the perceived and real detriments of producing and consuming those products. Whether or not the associated risks--from increased cancer to increased heart disease--are real is beside the point. When talking about risk, scientific education must deal with the perception of risk as much as its reality. Risk is a socially defined phenomenon, and as such, the successful scientists/communicator must understand the social evaluations of it. While many scientists take a rational view of risk evaluation and consumers often make rational decisions about technological and scientific risk based upon the costs and benefits of that technology, this approach is problematic for three reasons. First, the nature of modern risks has changed in that risk is complex, incomprehensible and uncontrollable to the average person. Second, the rational approach assumes that all costs and benefits of a technology, both real and potential, both current and future, can be known and therefore rationally evaluated. This is not the case. Third, evidence from Europe indicates that trust in information sources about risk has fallen, and thus classic scientific education campaigns that rely upon increasing public knowledge and acceptance of technological and scientific risk are problematic. Because of these factors we argue that effective scientific response must begin to understand the social components of risk if campaigns to shape public perception are to have any success. The report concludes that public perceptions concerning risk are driven more by social and moral debates than by scientific or economic debates (340 words).

Using the High-Level Based Program Interface to Facilitate the Large Scale Scientific Computing

PubMed Central

Shang, Yizi; Shang, Ling; Gao, Chuanchang; Lu, Guiming; Ye, Yuntao; Jia, Dongdong

2014-01-01

This paper is to make further research on facilitating the large-scale scientific computing on the grid and the desktop grid platform. The related issues include the programming method, the overhead of the high-level program interface based middleware, and the data anticipate migration. The block based Gauss Jordan algorithm as a real example of large-scale scientific computing is used to evaluate those issues presented above. The results show that the high-level based program interface makes the complex scientific applications on large-scale scientific platform easier, though a little overhead is unavoidable. Also, the data anticipation migration mechanism can improve the efficiency of the platform which needs to process big data based scientific applications. PMID:24574931

Designing Epistemologically Correct Science Narratives

ERIC Educational Resources Information Center

Sachin, Datt; Poovaiah, Ravi

2012-01-01

In recent years use of narratives for teaching science at secondary school level has gained impetus. This paper deals with the problem of designing narratives for teaching scientific concept. The central issue of the problem of designing narratives for carrying scientific information is that science belongs to the domain of objective observation…

Problems of Simultaneous Interpreting of Scientific Discussion.

ERIC Educational Resources Information Center

Chachibaia, Nelly

This article focuses on the problems of simultaneous translation (SI) of scientific discussion at the Conference on Training Translators and Interpreters in the New Millennium, the development of which greatly depends on extralinguistic, external conference conditions. Text linguistics considers text not only as a grammatical unit larger than a…

The Role of Problem-Based Learning in Developing Creative Expertise

ERIC Educational Resources Information Center

Gallagher, Shelagh A.

2015-01-01

Contemporary real-world problems require creative solutions, necessitating the preparation of a new generation of creative experts capable of finding original solutions to ill-structured problems. Although much school-based training in creativity focuses on discrete skills, real-world creativity results from a multidimensional interaction between…

Contemporary HIV/AIDS research: Insights from knowledge management theory.

PubMed

Callaghan, Chris William

2017-12-01

Knowledge management as a field is concerned with the management of knowledge, including the management of knowledge in research processes. Knowledge management theory has the potential to support research into problems such as HIV, antibiotic resistance and others, particularly in terms of aspects of scientific research related to the contribution of social science. To date, however, these challenges remain with us, and theoretical contributions that can complement natural science efforts to eradicate these problems are needed. This paper seeks to offer a theoretical contribution grounded in Kuhn's paradigm theory of innovation, and in the argument by Lakatos that scientific research can be fundamentally non-innovative, which suggests that social science aspects of knowledge creation may hold the key to more effective biomedical innovation. Given the consequences of ongoing and emerging global crises, and the failure of knowledge systems of scientific research to solve such problems outright, this paper provides a review of theory and literature arguing for a new paradigm in scientific research, based on the development of global systems to maximise research collaborations. A global systems approach effectively includes social science theory development as an important complement to the natural sciences research process. Arguably, information technology and social media technology have developed to the point at which solutions to knowledge aggregation challenges can enable solutions to knowledge problems on a scale hitherto unimaginable. Expert and non-expert crowdsourced inputs can enable problem-solving through exponentially increasing problem-solving inputs, using the 'crowd,' thereby increasing collaborations dramatically. It is argued that these developments herald a new era of participatory research, or a democratisation of research, which offers new hope for solving global social problems. This paper seeks to contribute to this end, and to the recognition of the important role of social theory in the scientific research process.

A study of the performance of patients with frontal lobe lesions in a financial planning task.

PubMed

Goel, V; Grafman, J; Tajik, J; Gana, S; Danto, D

1997-10-01

It has long been argued that patients with lesions in the prefrontal cortex have difficulties in decision making and problem solving in real-world, ill-structured situations, particularly problem types involving planning and look-ahead components. Recently, several researchers have questioned our ability to capture and characterize these deficits adequately using just the standard neuropsychological test batteries, and have called for tests that reflect real-world task requirements more accurately. We present data from 10 patients with focal lesions to the prefrontal cortex and 10 normal control subjects engaged in a real-world financial planning task. We also introduce a theoretical framework and methodology developed in the cognitive science literature for quantifying and analysing the complex data generated by problem-solving tasks. Our findings indicate that patient performance is impoverished at a global level but not at the local level. Patients have difficulty in organizing and structuring their problem space. Once they begin problem solving, they have difficulty in allocating adequate effort to each problem-solving phase. Patients also have difficulty dealing with the fact that there are no right or wrong answers nor official termination points in real-world planning problems. They also find it problematic to generate their own feedback. They invariably terminate the session before the details are fleshed out and all the goals satisfied. Finally, patients do not take full advantage of the fact that constraints on real-world problems are negotiable. However, it is not necessary to postulate a 'planning' deficit. It is possible to understand the patients' difficulties in real world planning tasks in terms of the following four accepted deficits: inadequate access to 'structured event complexes', difficulty in generalizing from particulars, failure to shift between 'mental sets', and poor judgment regarding adequacy and completeness of a plan.

Critical (of) Issues in Real-Time Systems.

DTIC Science & Technology

1988-05-03

IACCESON 11 T IT LE (Include Security Classification) Cr it ic, (of) issues in real .- time systems A Position Paper 12 PERPSONAL AU THOR(S) Fr ed B...are obsolete %0%’ 4.’.C %" Critical (of) issues in real - time systems ’ • "A Position Paper Acc, son For NTIS R& DTrC TAB May 3, 1988 Uyjannotuce~d...m . 2C:. r Ithaca, New York 14853 Dist 1 -.1 g- It is time to place the development of real - time systems on a firm scientific basis. Unlike other

Research Prototype: Automated Analysis of Scientific and Engineering Semantics

NASA Technical Reports Server (NTRS)

Stewart, Mark E. M.; Follen, Greg (Technical Monitor)

2001-01-01

Physical and mathematical formulae and concepts are fundamental elements of scientific and engineering software. These classical equations and methods are time tested, universally accepted, and relatively unambiguous. The existence of this classical ontology suggests an ideal problem for automated comprehension. This problem is further motivated by the pervasive use of scientific code and high code development costs. To investigate code comprehension in this classical knowledge domain, a research prototype has been developed. The prototype incorporates scientific domain knowledge to recognize code properties (including units, physical, and mathematical quantity). Also, the procedure implements programming language semantics to propagate these properties through the code. This prototype's ability to elucidate code and detect errors will be demonstrated with state of the art scientific codes.

Hypothesis testing of scientific Monte Carlo calculations.

PubMed

Wallerberger, Markus; Gull, Emanuel

2017-11-01

The steadily increasing size of scientific Monte Carlo simulations and the desire for robust, correct, and reproducible results necessitates rigorous testing procedures for scientific simulations in order to detect numerical problems and programming bugs. However, the testing paradigms developed for deterministic algorithms have proven to be ill suited for stochastic algorithms. In this paper we demonstrate explicitly how the technique of statistical hypothesis testing, which is in wide use in other fields of science, can be used to devise automatic and reliable tests for Monte Carlo methods, and we show that these tests are able to detect some of the common problems encountered in stochastic scientific simulations. We argue that hypothesis testing should become part of the standard testing toolkit for scientific simulations.

Hypothesis testing of scientific Monte Carlo calculations

NASA Astrophysics Data System (ADS)

Wallerberger, Markus; Gull, Emanuel

2017-11-01

The steadily increasing size of scientific Monte Carlo simulations and the desire for robust, correct, and reproducible results necessitates rigorous testing procedures for scientific simulations in order to detect numerical problems and programming bugs. However, the testing paradigms developed for deterministic algorithms have proven to be ill suited for stochastic algorithms. In this paper we demonstrate explicitly how the technique of statistical hypothesis testing, which is in wide use in other fields of science, can be used to devise automatic and reliable tests for Monte Carlo methods, and we show that these tests are able to detect some of the common problems encountered in stochastic scientific simulations. We argue that hypothesis testing should become part of the standard testing toolkit for scientific simulations.

Testing Scientific Software: A Systematic Literature Review

PubMed Central

Kanewala, Upulee; Bieman, James M.

2014-01-01

Context Scientific software plays an important role in critical decision making, for example making weather predictions based on climate models, and computation of evidence for research publications. Recently, scientists have had to retract publications due to errors caused by software faults. Systematic testing can identify such faults in code. Objective This study aims to identify specific challenges, proposed solutions, and unsolved problems faced when testing scientific software. Method We conducted a systematic literature survey to identify and analyze relevant literature. We identified 62 studies that provided relevant information about testing scientific software. Results We found that challenges faced when testing scientific software fall into two main categories: (1) testing challenges that occur due to characteristics of scientific software such as oracle problems and (2) testing challenges that occur due to cultural differences between scientists and the software engineering community such as viewing the code and the model that it implements as inseparable entities. In addition, we identified methods to potentially overcome these challenges and their limitations. Finally we describe unsolved challenges and how software engineering researchers and practitioners can help to overcome them. Conclusions Scientific software presents special challenges for testing. Specifically, cultural differences between scientist developers and software engineers, along with the characteristics of the scientific software make testing more difficult. Existing techniques such as code clone detection can help to improve the testing process. Software engineers should consider special challenges posed by scientific software such as oracle problems when developing testing techniques. PMID:25125798

Using string alignment in a query-by-humming system for real world applications

NASA Astrophysics Data System (ADS)

Sailer, Christian

2005-09-01

Though query by humming (i.e., retrieving music or information about music by singing a characteristic melody) has been a popular research topic during the past decade, few approaches have reached a level of usefulness beyond mere scientific interest. One of the main problems is the inherent contradiction between error tolerance and dicriminative power in conventional melody matching algorithms that rely on a melody contour approach to handle intonation or transcription errors. Adopting the string matching/alignment techniques from bioinformatics to melody sequences allows to directly assess the similarity between two melodies. This method takes an MPEG-7 compliant melody sequence (i.e., a list of note intervals and length ratios) as query and evaluates the steps necessary to transform it into the reference sequence. By introducing a musically founded cost-of-replace function and an adequate post processing, this method yields a measure for melodic similarity. Thus it is possible to construct a query by humming system that can properly discriminate between thousands of melodies and still be sufficiently error tolerant to be used by untrained singers. The robustness has been verified in extensive tests and real world applications.

Methods and decision making on a Mars rover for identification of fossils

NASA Technical Reports Server (NTRS)

Eberlein, Susan; Yates, Gigi

1989-01-01

A system for automated fusion and interpretation of image data from multiple sensors, including multispectral data from an imaging spectrometer is being developed. Classical artificial intelligence techniques and artificial neural networks are employed to make real time decision based on current input and known scientific goals. Emphasis is placed on identifying minerals which could indicate past life activity or an environment supportive of life. Multispectral data can be used for geological analysis because different minerals have characteristic spectral reflectance in the visible and near infrared range. Classification of each spectrum into a broad class, based on overall spectral shape and locations of absorption bands is possible in real time using artificial neural networks. The goal of the system is twofold: multisensor and multispectral data must be interpreted in real time so that potentially interesting sites can be flagged and investigated in more detail while the rover is near those sites; and the sensed data must be reduced to the most compact form possible without loss of crucial information. Autonomous decision making will allow a rover to achieve maximum scientific benefit from a mission. Both a classical rule based approach and a decision neural network for making real time choices are being considered. Neural nets may work well for adaptive decision making. A neural net can be trained to work in two steps. First, the actual input state is mapped to the closest of a number of memorized states. After weighing the importance of various input parameters, the net produces an output decision based on the matched memory state. Real time, autonomous image data analysis and decision making capabilities are required for achieving maximum scientific benefit from a rover mission. The system under development will enhance the chances of identifying fossils or environments capable of supporting life on Mars

Real-time detection, quantification, warning, and control of epileptic seizures: the foundations for a scientific epileptology.

PubMed

Osorio, I; Frei, M G

2009-11-01

Substantive advances in clinical epileptology may be realized through the judicious use of real-time automated seizure detection, quantification, warning, and delivery of therapy in subjects with pharmacoresistant seizures. Materialization of these objectives is likely to elevate epileptology to the level of a mature clinical science.

Conducting Guided Inquiry in Science Classes Using Authentic, Archived, Web-Based Data

ERIC Educational Resources Information Center

Ucar, Sedat; Trundle, Kathy Cabe

2011-01-01

Students are often unable to collect the real-time data necessary for conducting inquiry in science classrooms. Web-based, real-time data could, therefore, offer a promising tool for conducting scientific inquiries within classroom environments. This study used a quasi-experimental research design to investigate the effects of inquiry-based…

Engaging Middle School Students with Technology: Using Real-Time Data to Test Predictions in Aquatic Ecosystems

ERIC Educational Resources Information Center

Adams, Lisa G.

2011-01-01

Take advantage of teen internet savvy and redirect students' online travels toward exploration of our environment through streaming real-time data (RTD). Studies have shown that using RTD adds relevancy to students' learning experiences and engages them in scientific investigations. (Contains 14 online resources and 5 figures.)

Headlines: Planet Earth: Improving Climate Literacy with Short Format News Videos

NASA Astrophysics Data System (ADS)

Tenenbaum, L. F.; Kulikov, A.; Jackson, R.

2012-12-01

One of the challenges of communicating climate science is the sense that climate change is remote and unconnected to daily life--something that's happening to someone else or in the future. To help face this challenge, NASA's Global Climate Change website http://climate.nasa.gov has launched a new video series, "Headlines: Planet Earth," which focuses on current climate news events. This rapid-response video series uses 3D video visualization technology combined with real-time satellite data and images, to throw a spotlight on real-world events.. The "Headlines: Planet Earth" news video products will be deployed frequently, ensuring timeliness. NASA's Global Climate Change Website makes extensive use of interactive media, immersive visualizations, ground-based and remote images, narrated and time-lapse videos, time-series animations, and real-time scientific data, plus maps and user-friendly graphics that make the scientific content both accessible and engaging to the public. The site has also won two consecutive Webby Awards for Best Science Website. Connecting climate science to current real-world events will contribute to improving climate literacy by making climate science relevant to everyday life.

Sentinel Node Detection in Head and Neck Malignancies: Innovations in Radioguided Surgery

PubMed Central

Vermeeren, L.; Klop, W. M. C.; van den Brekel, M. W. M.; Balm, A. J. M.; Nieweg, O. E.; Valdés Olmos, R. A.

2009-01-01

Sentinel node mapping is becoming a routine procedure for staging of various malignancies, because it can determine lymph node status more precisely. Due to anatomical problems, localizing sentinel nodes in the head and neck region on the basis of conventional images can be difficult. New diagnostic tools can provide better visualization of sentinel nodes. In an attempt to keep up with possible scientific progress, this article reviews new and innovative tools for sentinel node localization in this specific area. The overview comprises a short introduction of the sentinel node procedure as well as indications in the head and neck region. Then the results of SPECT/CT for sentinel node detection are described. Finally, a portable gamma camera to enable intraoperative real-time imaging with improved sentinel node detection is described. PMID:20016804

Big data challenges for large radio arrays

NASA Astrophysics Data System (ADS)

Jones, D. L.; Wagstaff, K.; Thompson, D. R.; D'Addario, L.; Navarro, R.; Mattmann, C.; Majid, W.; Lazio, J.; Preston, J.; Rebbapragada, U.

2012-03-01

Future large radio astronomy arrays, particularly the Square Kilometre Array (SKA), will be able to generate data at rates far higher than can be analyzed or stored affordably with current practices. This is, by definition, a "big data" problem, and requires an end-to-end solution if future radio arrays are to reach their full scientific potential. Similar data processing, transport, storage, and management challenges face next-generation facilities in many other fields. The Jet Propulsion Laboratory is developing technologies to address big data issues, with an emphasis in three areas: 1) Lower-power digital processing architectures to make highvolume data generation operationally affordable, 2) Date-adaptive machine learning algorithms for real-time analysis (or "data triage") of large data volumes, and 3) Scalable data archive systems that allow efficient data mining and remote user code to run locally where the data are stored.

Discovering Network Structure Beyond Communities

NASA Astrophysics Data System (ADS)

Nishikawa, Takashi; Motter, Adilson E.

2011-11-01

To understand the formation, evolution, and function of complex systems, it is crucial to understand the internal organization of their interaction networks. Partly due to the impossibility of visualizing large complex networks, resolving network structure remains a challenging problem. Here we overcome this difficulty by combining the visual pattern recognition ability of humans with the high processing speed of computers to develop an exploratory method for discovering groups of nodes characterized by common network properties, including but not limited to communities of densely connected nodes. Without any prior information about the nature of the groups, the method simultaneously identifies the number of groups, the group assignment, and the properties that define these groups. The results of applying our method to real networks suggest the possibility that most group structures lurk undiscovered in the fast-growing inventory of social, biological, and technological networks of scientific interest.

Network-based recommendation algorithms: A review

NASA Astrophysics Data System (ADS)

Yu, Fei; Zeng, An; Gillard, Sébastien; Medo, Matúš

2016-06-01

Recommender systems are a vital tool that helps us to overcome the information overload problem. They are being used by most e-commerce web sites and attract the interest of a broad scientific community. A recommender system uses data on users' past preferences to choose new items that might be appreciated by a given individual user. While many approaches to recommendation exist, the approach based on a network representation of the input data has gained considerable attention in the past. We review here a broad range of network-based recommendation algorithms and for the first time compare their performance on three distinct real datasets. We present recommendation topics that go beyond the mere question of which algorithm to use-such as the possible influence of recommendation on the evolution of systems that use it-and finally discuss open research directions and challenges.

Scientific ballooning. Proceedings. PSB Meeting of the COSPAR Panel on Technical Problems Related to Scientific Ballooning which was held during the Thirtieth COSPAR Scientific Assembly, Hamburg (Germany), 11 - 21 Jul 1994.

NASA Astrophysics Data System (ADS)

Riedler, W.; Torkar, K.

1996-05-01

This issue is grouped into sections on materials, design, performance and analysis of balloons, reviews of major national and international balloon programmes, novel instrumentation and systems for scientific ballooning, and selected recent scientific observations.

Non-traditional approaches to teaching GPS online

NASA Astrophysics Data System (ADS)

Matias, A.; Wolf, D. F., II

2009-12-01

Students are increasingly turning to the web for quality education that fits into their lives. Nonetheless, online learning brings challenges as well as a fresh opportunity for exploring pedagogical practices not present on traditional higher education programs, particularly in the sciences. A team of two dozen Empire State College-State University of New York instructional designers, faculty, and other staff are working on making science relevant to non-majors who may initially have anxiety about general education science courses. One of these courses, GPS and the New Geography, focuses on how Global Positioning System (GPS) technology provides a base for inquiry and scientific discovery from a range of environmental issues with local, regional, and global scope. GPS and the New Geography is an introductory level course developed under a grant supported by the Charitable Leadership Foundation. Taking advantage of the proliferation of tools currently available for online learning management systems, we explore current trends in Web 2.0 applications to aggregate and leverage data to create a nontraditional, interactive learning environment. Using our best practices to promote on-line discussion and interaction, these tools help engage students and foster deep learning. During the 15-week term students learn through case studies, problem-based exercises, and the use of scientific data; thus, expanding their spatial literacy and gain experience using real spatial technology tools to enhance their understanding of real-world issues. In particular, we present how the use of Mapblogs an in-house developed blogging platform that uses GIS interplaying with GPS units, interactive data presentations, intuitive visual working environments, harnessing RSS feeds, and other nontraditional Web 2.0 technology has successfully promoted active learning in the virtual learning environment.

In the Footsteps of Roger Revelle: Seagoing Oceanography for Middle School Science

NASA Astrophysics Data System (ADS)

Brice, D.; Foley, S.; Knox, R. A.; Mauricio, P.

2007-12-01

Now in its fourth year, "In the Footsteps of Roger Revelle" (IFRR) is a middle school science education program that draws student interest, scientific content and coherence with National Science Standards from real-time research at sea in fields of physical science. As a successful collaboration involving Scripps Institution of Oceanography (SIO), Woods Hole Oceanographic Institution (WHOI), National Oceanic and Atmospheric Administration (NOAA), Office of Naval Research (ONR), National Science Foundation (NSF), San Diego County Office of Education (SDCOE), and San Marcos Middle School (SMMS), IFRR brings physical oceanography and related sciences to students at the San Marcos Middle School in real-time from research vessels at sea using SIO's HiSeasNet satellite communication system. With their science teacher on the ship as an education outreach specialist or ashore guiding students in their interactions with selected scientists at sea, students observe shipboard research being carried out live via videoconference, daily e-mails, interviews, digital whiteboard sessions, and web interaction. Students then research, design, develop, deploy, and field-test their own data-collecting physical oceanography instruments in their classroom. The online interactive curriculum encourages active inquiry with intellectually stimulating problem-solving, enabling students to gain critical insight and skill while investigating some of the most provocative questions of our time, and seeing scientists as role- models. Recent science test scores with IFRR students have shown significant increases in classes where this curriculum has been implemented as compared to other classes where the traditional curriculum has been used. IFRR has provided students in the San Diego area with a unique opportunity for learning about oceanographic research, which could inspire students to become oceanographers or at least scientifically literate citizens - a benefit for a country that depends increasingly on technically proficient personnel, and a benefit for society at large.

SkyDiscovery: Humans and Machines Working Together

NASA Astrophysics Data System (ADS)

Donalek, Ciro; Fang, K.; Drake, A. J.; Djorgovski, S. G.; Graham, M. J.; Mahabal, A.; Williams, R.

2011-01-01

Synoptic sky surveys are now discovering tens to hundreds of transient events every clear night, and that data rate is expected to increase dramatically as we move towards the LSST. A key problem is classification of transients, which determines their scientific interest and possible follow-up. Some of the relevant information is contextual, and easily recognizable by humans looking at images, but it is very hard to encode in the data pipelines. Crowdsourcing (aka Citizen Science) provides one possible way to gather such information. SkyDiscovery.org is a website that allows experts and citizen science enthusiasts to work together and share information in a collaborative scientific discovery environment. Currently there are two projects running on the website. In the Event Classification project users help finding candidate transients through a series of questions related to the images shown. Event classification depends very much form the contextual information and humans are remarkably effective at recognizing noise in incomplete heterogeneous data and figuring out which contextual information is important. In the SNHunt project users are requested to look for new objects appearing on images of galaxies taken by the Catalina Real-time Transient Survey, in order to find all the supernovae occurring in nearby bright galaxies. Images are served alongside with other tools that can help the discovery. A multi level approach allows the complexity of the interface to be tailored to the expertise level of the user. An entry level user can just review images and validate events as being real, while a more advanced user would be able to interact with the data associated to an event. The data gathered will not be only analyzed and used directly for some specific science project, but also to train well-defined algorithms to be used in automating such data analysis in the future.

Real-Time Science on Social Media: The Example of Twitter in the Minutes, Hours, Days after the 2015 M7.8 Nepal Earthquake

NASA Astrophysics Data System (ADS)

Lomax, A.; Bossu, R.; Mazet-Roux, G.

2015-12-01

Scientific information on disasters such as earthquakes typically comes firstly from official organizations, news reports and interviews with experts, and later from scientific presentations and peer-reviewed articles. With the advent of the Internet and social media, this information is available in real-time from automated systems and within a dynamic, collaborative interaction between scientific experts, responders and the public. After the 2015 M7.8 Nepal earthquake, Twitter Tweets from earth scientists* included information, analysis, commentary and discussion on earthquake parameters (location, size, mechanism, rupture extent, high-frequency radiation, …), earthquake effects (distribution of felt shaking and damage, triggered seismicity, landslides, …), earthquake rumors (e.g. the imminence of a larger event) and other earthquake information and observations (aftershock forecasts, statistics and maps, source and regional tectonics, seismograms, GPS, InSAR, photos/videos, …).In the future (while taking into account security, false or erroneous information and identity verification), collaborative, real-time science on social media after a disaster will give earlier and better scientific understanding and dissemination of public information, and enable improved emergency response and disaster management.* A sample of scientific Tweets after the 2015 Nepal earthquake: In the first minutes: "mb5.9 Mwp7.4 earthquake Nepal 2015.04.25-06:11:25UTC", "Major earthquake shakes Nepal 8 min ago", "Epicenter between Pokhara and Kathmandu", "Major earthquake shakes Nepal 18 min ago. Effects derived from witnesses' reports". In the first hour: "shallow thrust faulting to North under Himalayas", "a very large and shallow event ... Mw7.6-7.7", "aftershocks extend east and south of Kathmandu, so likely ruptured beneath city", "Valley-blocking landslides must be a very real worry". In the first day: "M7.8 earthquake in Nepal 2hr ago: destructive in Kathmandu Valley and widely felt in India", "USGS pager v.3 contains initial fatality & economic loss estimates", "analysis of seismic waves … shows fault rupture lasted 80 sec, shaking longer", "aftershocks suggests rupture zone, directivity and shaking intensity".

[Prevention and protection of workers' reproductive health].

PubMed

Sivochalova, O V; Fesenko, M A; Golovaneva, G V; Morozova, T V; Fedorova, E V; Irmiakova, A R; Gromova, E Iu; Stepanian, I V; Vuĭtsik, P A

2013-01-01

The article mentiones issues of preserving and strengthening the reproductive health of women workers, dealed by researchers of the laboratory, established in 1974. It describes the developed concept of the reproductive health problems and scientific research areas, developed documents, including legislative fields, formulates main prospects of the laboratory to meet the requirements of the present moment. Noted the role of the Problem Commission "Scientific basis for the reproductive health of workers", in the work of the Scientific Council on medical and environmental issues of workers' health.

Differences in Behavior and Brain Activity during Hypothetical and Real Choices.

PubMed

Camerer, Colin; Mobbs, Dean

2017-01-01

Real behaviors are binding consequential commitments to a course of action, such as harming another person, buying an Apple watch, or fleeing from danger. Cognitive scientists are generally interested in the psychological and neural processes that cause such real behavior. However, for practical reasons, many scientific studies measure behavior using only hypothetical or imagined stimuli. Generalizing from such studies to real behavior implicitly assumes that the processes underlying the two types of behavior are similar. We review evidence of similarity and differences in hypothetical and real mental processes. In many cases, hypothetical choice tasks give an incomplete picture of brain circuitry that is active during real choice. Copyright © 2016. Published by Elsevier Ltd.

Performance of the Wavelet Decomposition on Massively Parallel Architectures

NASA Technical Reports Server (NTRS)

El-Ghazawi, Tarek A.; LeMoigne, Jacqueline; Zukor, Dorothy (Technical Monitor)

2001-01-01

Traditionally, Fourier Transforms have been utilized for performing signal analysis and representation. But although it is straightforward to reconstruct a signal from its Fourier transform, no local description of the signal is included in its Fourier representation. To alleviate this problem, Windowed Fourier transforms and then wavelet transforms have been introduced, and it has been proven that wavelets give a better localization than traditional Fourier transforms, as well as a better division of the time- or space-frequency plane than Windowed Fourier transforms. Because of these properties and after the development of several fast algorithms for computing the wavelet representation of any signal, in particular the Multi-Resolution Analysis (MRA) developed by Mallat, wavelet transforms have increasingly been applied to signal analysis problems, especially real-life problems, in which speed is critical. In this paper we present and compare efficient wavelet decomposition algorithms on different parallel architectures. We report and analyze experimental measurements, using NASA remotely sensed images. Results show that our algorithms achieve significant performance gains on current high performance parallel systems, and meet scientific applications and multimedia requirements. The extensive performance measurements collected over a number of high-performance computer systems have revealed important architectural characteristics of these systems, in relation to the processing demands of the wavelet decomposition of digital images.

QUADRO: A SUPERVISED DIMENSION REDUCTION METHOD VIA RAYLEIGH QUOTIENT OPTIMIZATION.

PubMed

Fan, Jianqing; Ke, Zheng Tracy; Liu, Han; Xia, Lucy

We propose a novel Rayleigh quotient based sparse quadratic dimension reduction method-named QUADRO (Quadratic Dimension Reduction via Rayleigh Optimization)-for analyzing high-dimensional data. Unlike in the linear setting where Rayleigh quotient optimization coincides with classification, these two problems are very different under nonlinear settings. In this paper, we clarify this difference and show that Rayleigh quotient optimization may be of independent scientific interests. One major challenge of Rayleigh quotient optimization is that the variance of quadratic statistics involves all fourth cross-moments of predictors, which are infeasible to compute for high-dimensional applications and may accumulate too many stochastic errors. This issue is resolved by considering a family of elliptical models. Moreover, for heavy-tail distributions, robust estimates of mean vectors and covariance matrices are employed to guarantee uniform convergence in estimating non-polynomially many parameters, even though only the fourth moments are assumed. Methodologically, QUADRO is based on elliptical models which allow us to formulate the Rayleigh quotient maximization as a convex optimization problem. Computationally, we propose an efficient linearized augmented Lagrangian method to solve the constrained optimization problem. Theoretically, we provide explicit rates of convergence in terms of Rayleigh quotient under both Gaussian and general elliptical models. Thorough numerical results on both synthetic and real datasets are also provided to back up our theoretical results.

The Normals to a Parabola and the Real Roots of a Cubic

ERIC Educational Resources Information Center

Bains, Majinder S.; Thoo, J. B.

2007-01-01

The geometric problem of finding the number of normals to the parabola y = x[squared] through a given point is equivalent to the algebraic problem of finding the number of distinct real roots of a cubic equation. Apollonius solved the former problem, and Cardano gave a solution to the latter. The two problems are bridged by Neil's (semi-cubical)…

The Visual Geophysical Exploration Environment: A Multi-dimensional Scientific Visualization

NASA Astrophysics Data System (ADS)

Pandya, R. E.; Domenico, B.; Murray, D.; Marlino, M. R.

2003-12-01

The Visual Geophysical Exploration Environment (VGEE) is an online learning environment designed to help undergraduate students understand fundamental Earth system science concepts. The guiding principle of the VGEE is the importance of hands-on interaction with scientific visualization and data. The VGEE consists of four elements: 1) an online, inquiry-based curriculum for guiding student exploration; 2) a suite of El Nino-related data sets adapted for student use; 3) a learner-centered interface to a scientific visualization tool; and 4) a set of concept models (interactive tools that help students understand fundamental scientific concepts). There are two key innovations featured in this interactive poster session. One is the integration of concept models and the visualization tool. Concept models are simple, interactive, Java-based illustrations of fundamental physical principles. We developed eight concept models and integrated them into the visualization tool to enable students to probe data. The ability to probe data using a concept model addresses the common problem of transfer: the difficulty students have in applying theoretical knowledge to everyday phenomenon. The other innovation is a visualization environment and data that are discoverable in digital libraries, and installed, configured, and used for investigations over the web. By collaborating with the Integrated Data Viewer developers, we were able to embed a web-launchable visualization tool and access to distributed data sets into the online curricula. The Thematic Real-time Environmental Data Distributed Services (THREDDS) project is working to provide catalogs of datasets that can be used in new VGEE curricula under development. By cataloging this curricula in the Digital Library for Earth System Education (DLESE), learners and educators can discover the data and visualization tool within a framework that guides their use.

Naukaoklimacie.pl: Between Science Blog and Mythbuster.

NASA Astrophysics Data System (ADS)

Malinowski, S. P.; Popkiewicz, M.; Kardaś, A.; Bielewicz, A.

2015-12-01

"Naukaoklimacie" is a Polish fellow of a well known portal SkepticalScience.com. The name is a quibble. This cluster of two Polish words can be translated into English as "Climate Science" or "Science about Climate". Naukaoklimacie.pl and the associate Facebook page is an ongoing, over two years old project, aimed at providing Polish-speaking community fundamentals of climate science. Itgives insight into the recent climate science achievements, rebutts climate misinformation and busts climate myths. During two years of activity we published over 250 texts, our Facebook page has over 4k fans and results in 4-12 thousands post reach week-to-week, the mainpage articles are quoted in press and used as reading texts for students. Unlike in many countries, in Poland there is a real problem in finding a trustworthy information on climate change and science behind it. Neither universities, nor governmental agencies present climate science to Polish society. Naukaoklimacie.pl fills this gap in an unique way. Editorial group of the portal consists of two atmospheric scientists, a physicist and the professional journalist and is supported by a scientific council, consisting of 14 active scientists specializing in various aspects of climate, atmosphere, biodiversity, atmospheric chemistry e.t.c.. All the texts published in the webpage are consulted with scientists - specialists in the subject of the text, usually from the scientific council, sometimes by the external specialists. All the texts provide links to the original scientific publications. Naukaoklimacie.pl is not only an internet activity. We meet people on Festivals of Science, Science Open Days. We exist also in the mainstream media the editors and the scientific councils were interviewed by press and TV.

Hydrological Modeling Reproducibility Through Data Management and Adaptors for Model Interoperability

NASA Astrophysics Data System (ADS)

Turner, M. A.

2015-12-01

Because of a lack of centralized planning and no widely-adopted standards among hydrological modeling research groups, research communities, and the data management teams meant to support research, there is chaos when it comes to data formats, spatio-temporal resolutions, ontologies, and data availability. All this makes true scientific reproducibility and collaborative integrated modeling impossible without some glue to piece it all together. Our Virtual Watershed Integrated Modeling System provides the tools and modeling framework hydrologists need to accelerate and fortify new scientific investigations by tracking provenance and providing adaptors for integrated, collaborative hydrologic modeling and data management. Under global warming trends where water resources are under increasing stress, reproducible hydrological modeling will be increasingly important to improve transparency and understanding of the scientific facts revealed through modeling. The Virtual Watershed Data Engine is capable of ingesting a wide variety of heterogeneous model inputs, outputs, model configurations, and metadata. We will demonstrate one example, starting from real-time raw weather station data packaged with station metadata. Our integrated modeling system will then create gridded input data via geostatistical methods along with error and uncertainty estimates. These gridded data are then used as input to hydrological models, all of which are available as web services wherever feasible. Models may be integrated in a data-centric way where the outputs too are tracked and used as inputs to "downstream" models. This work is part of an ongoing collaborative Tri-state (New Mexico, Nevada, Idaho) NSF EPSCoR Project, WC-WAVE, comprised of researchers from multiple universities in each of the three states. The tools produced and presented here have been developed collaboratively alongside watershed scientists to address specific modeling problems with an eye on the bigger picture of scientific reproducibility and transparency, and data publication and reuse.

Development of geometry materials based on scientific approach for junior high school students

NASA Astrophysics Data System (ADS)

Nurafni; Siswanto, R. D.; Azhar, E.

2018-01-01

A scientific approach is a learning process designed so that learners can actively construct concepts, encourage learners to find out from various sources through observation, and not just be told. Therefore, learning by scientific approach offers a solution, because the goals, principles, and stages of the scientific approach allow for a good understanding of the students. Because of the absence of teaching materials “polyhedron geometry based on scientific approach” which is widely published in Indonesia, then we need to develop the teaching materials. The results obtained in this study are the tasks presented on teaching materials with a scientific approach both in defining the cube and the beam, identify and solve problems related to the properties and elements of cubes and beams, making cube and beam nets, solving problems related to cube and beam nets, solving problems related to cube and beam surface area. Beginning with the difficulties students face. Then, based on the results of interviews with teachers and analysis of student difficulties on each indicator, researchers revise the teaching materials as needed. Teaching materials that have not found any more student difficulties then the teaching materials are considered valid and ready for use by teachers and students.

Game-Based Learning in Science Education: A Review of Relevant Research

NASA Astrophysics Data System (ADS)

Li, Ming-Chaun; Tsai, Chin-Chung

2013-12-01

The purpose of this study is to review empirical research articles regarding game-based science learning (GBSL) published from 2000 to 2011. Thirty-one articles were identified through the Web of Science and SCOPUS databases. A qualitative content analysis technique was adopted to analyze the research purposes and designs, game design and implementation, theoretical backgrounds and learning foci of these reviewed studies. The theories and models employed by these studies were classified into four theoretical foundations including cognitivism, constructivism, the socio-cultural perspective, and enactivism. The results indicate that cognitivism and constructivism were the major theoretical foundations employed by the GBSL researchers and that the socio-cultural perspective and enactivism are two emerging theoretical paradigms that have started to draw attention from GBSL researchers in recent years. The analysis of the learning foci showed that most of the digital games were utilized to promote scientific knowledge/concept learning, while less than one-third were implemented to facilitate the students' problem-solving skills. Only a few studies explored the GBSL outcomes from the aspects of scientific processes, affect, engagement, and socio-contextual learning. Suggestions are made to extend the current GBSL research to address the affective and socio-contextual aspects of science learning. The roles of digital games as tutor, tool, and tutee for science education are discussed, while the potentials of digital games to bridge science learning between real and virtual worlds, to promote collaborative problem-solving, to provide affective learning environments, and to facilitate science learning for younger students are also addressed.

Research Experiences for Undergraduates in Estuarine and Atmospheric Processes

NASA Astrophysics Data System (ADS)

Aller, J. Y.

2009-12-01

Our program in the School of Marine and Atmospheric Sciences at Stony Brook University is unique in emphasizing the interdisciplinary study of coastal ocean and atmospheric processes. We attract a large number of both male and female undergraduate applicants representing diverse ethnic groups from across the country. Many are multi-discipline majors merging geology, biology, chemistry, or physics with engineering, and/or mathematics and welcome the opportunity to combine their academic training to examine environmental problems. Our goal is a program reflective of today’s world and environmental challenges, one that provides a ‘hands-on’ research experience which illustrates the usefulness of scientific research for understanding real-world problems or phenomena, and one in which students are challenged to apply their academic backgrounds to develop intuition about natural systems and processes. Projects this past summer focused on assessing climate change and its effects on coastal environments and processes. Projects addressed the implications of a changing global climate over the next 50 years on hydrologic cycles and coastal environments like barrier islands and beaches, on seasonal weather conditions and extreme events, on aerosols and the Earth’s radiative balance, and on aquatic habitats and biota. Collaborative field and laboratory or computer-based projects involving two or three REU students, graduate students, and several mentors, enable undergraduate students appreciate the importance of teamwork in addressing specific scientific questions or gaining maximum insight into a particular phenomenon or process. We believe that our approach allows students to understand what their role will be as scientists in the next phase of our earth’s evolution.

Climate Change and Everyday Life: Repertoires children use to negotiate a socio-scientific issue

NASA Astrophysics Data System (ADS)

Byrne, Jenny; Ideland, Malin; Malmberg, Claes; Grace, Marcus

2014-06-01

There are only a few studies about how primary school students engage in socio-scientific discussions. This study aims to add to this field of research by focusing on how 9-10-year-olds in Sweden and England handle climate change as a complex environmental socio-scientific issue (SSI), within the context of their own lives and in relation to society at large. It focuses on how different interpretative repertoires were used by the students in discussions to legitimise or question their everyday lifestyles. They discussed four possible options that a government might consider to help reduce carbon dioxide production. Six main repertoires were identified: Everyday life, Self-Interest, Environment, Science and Technology, Society and Justice. The Everyday life repertoire was used when students related their discussion to their everyday lifestyles. Science and technology-related solutions were offered to maintain or improve things, but these were sometimes rather unrealistic. Arguments related to environment and health frequently appeared to have a superior status compared to the others. Findings also highlighted how conflicts between the students were actually productive by bringing in several perspectives to negotiate the solutions. These primary school students were, therefore, able to discuss and negotiate a complex real-world SSI. Students positioned themselves as active contributors to society, using their life experiences and limited knowledge to understand the problems that affected their everyday lives. Honing these skills within a school science community of practice could facilitate primary students' engagement with SSIs and empower them as citizens.

Policy and data-intensive scientific discovery in the beginning of the 21st century.

PubMed

Ozdemir, Vural; Smith, Charles; Bongiovanni, Kathleen; Cullen, David; Knoppers, Bartha M; Lowe, Andrew; Peters, Mette; Robbins, Robert; Stewart, Elizabeth; Yee, Gene; Yu, Yi-Kuo; Kolker, Eugene

2011-04-01

Recent developments in our ability to capture, curate, and analyze data, the field of data-intensive science (DIS), have indeed made these interesting and challenging times for scientific practice as well as policy making in real time. We are confronted with immense datasets that challenge our ability to pool, transfer, analyze, or interpret scientific observations. We have more data available than ever before, yet more questions to be answered as well, and no clear path to answer them. We are excited by the potential for science-based solutions to humankind's problems, yet stymied by the limitations of our current cyberinfrastructure and existing public policies. Importantly, DIS signals a transformation of the hypothesis-driven tradition of science ("first hypothesize, then experiment") to one that is typified by "first experiment, then hypothesize" mode of discovery. Another hallmark of DIS is that it amasses data that are public goods (i.e., creates a "commons") that can further be creatively mined for various applications in different sectors. As such, this calls for a science policy vision that is long term. We herein reflect on how best to approach to policy making at this critical inflection point when DIS applications are being diversified in agriculture, ecology, marine biology, and environmental research internationally. This article outlines the key policy issues and gaps that emerged from the multidisciplinary discussions at the NSF-funded DIS workshop held at the Seattle Children's Research Institute in Seattle, on September 19-20, 2010. © Mary Ann Liebert, Inc.

ASSESSMENT OF MAST IN EUROPEAN PATIENT-CENTERED TELEMEDICINE PILOTS.

PubMed

Ekeland, Anne Granstrøm; Grøttland, Astrid

2015-01-01

Model for ASsessment of Telemedicine Applications (MAST) is a health technology assessment (HTA) inspired framework for assessing the effectiveness and contribution to quality of telemedicine applications based on rigorous, scientific data. This study reports from a study of how it was used and perceived in twenty-one pilots of the European project RENEWING HEALTH (RH). The objectives of RH were to implement large-scale, real-life test beds for the validation and subsequent evaluation of innovative patient-centered telemedicine services. The study is a contribution to the appraisal of HTA methods. A questionnaire was administered for project leaders of the pilots. It included questions about use and usefulness of MAST for (i) preceding considerations, (ii) evaluation of outcomes within seven domains, and (iii) considerations of transferability. Free text spaces allowed for proposals of improvement. The responses covered all pilots. A quantitative summary of use and a qualitative analysis of usefulness were performed. MAST was used and considered useful for pilot evaluations. Challenges included problems to scientifically determine alternative service options and outcome within the seven domains. Proposals for improvement included process studies and adding domains of technological usability, responsible innovation, health literacy, behavior change, caregiver perspectives and motivational issues of professionals. MAST was used according to its structure. Its usefulness in patient centered pilots can be improved by adding new stakeholder groups. Interdependencies between scientific rigor, resources and timeliness should be addressed. Operational options for improvements include process studies, literature reviews and sequential mini-HTAs for identification of areas for more elaborate investigations.

Scientific Basis vs. Contextualized Teaching and Learning: The Effect on the Achievement of Postsecondary Students

ERIC Educational Resources Information Center

Curry, Kevin W., Jr.; Wilson, Elizabeth; Flowers, Jim L.; Farin, Charlotte E.

2012-01-01

The purpose of the study was to compare two teaching methodologies for an integrated agricultural biotechnology course at the postsecondary level. The two teaching methods tested were the explanation of the scientific basis for content (comparison treatment) versus the application of content to a real-world agricultural context (experimental…

Sailing toward Understanding Surface Currents: A Science and Geography Integration Activity for Upper-Elementary Students

ERIC Educational Resources Information Center

Eidietis, Laura; Rutherford, Sandra

2009-01-01

In the activities presented in this article, students mimic real scientists while constructing predictions and scientific explanations about surface currents. The activities are inspired by and couched within true scientific inquiries regarding the ocean and the North American Great Lakes. Students engage in a classroom inquiry and use map-reading…

Errors in Science and Their Treatment in Teaching Science

ERIC Educational Resources Information Center

Kipnis, Nahum

2011-01-01

This paper analyses the real origin and nature of scientific errors against claims of science critics, by examining a number of examples from the history of electricity and optics. This analysis leads to a conclusion that errors are a natural and unavoidable part of scientific process. If made available to students, through their science teachers,…

"To Learn about Science": Real Life Scientific Literacy across Multicultural Communities

ERIC Educational Resources Information Center

Briseño-Garzón, Adriana; Perry, Kristen H.; Purcell-Gates, Victoria

2014-01-01

Much of the current research on scientific literacy focuses on particular text genres read by students within the classroom context. We offer a cross-case analysis of literacy as social practice in multicultural communities around the world, through which we reveal that individuals with no formal education, as well as people with varied levels of…

Designing for Real-World Scientific Inquiry in Virtual Environments

ERIC Educational Resources Information Center

Ketelhut, Diane Jass; Nelson, Brian C.

2010-01-01

Background: Most policy doctrines promote the use of scientific inquiry in the K-12 classroom, but good inquiry is hard to implement, particularly for schools with fiscal and safety constraints and for teachers struggling with understanding how to do so. Purpose: In this paper, we present the design of a multi-user virtual environment (MUVE)…

An STS Approach to Organizing a Secondary Science Methods Course: Preliminary Findings.

ERIC Educational Resources Information Center

Dass, Pradeep M.

The current agenda in science education calls for science instruction that enhances student understanding of the nature of scientific enterprise, enables students to critically analyze scientific information as well as apply it in real-life situations, and sets them on a path of lifelong learning in science. In order to prepare teachers who can…

From Aristotle to Today: Making the History and Nature of Science Relevant

ERIC Educational Resources Information Center

Sterling, Donna R.

2009-01-01

Students connect to science in multiple ways. For some students, learning how real people have developed and defended their scientific ideas makes science relevant and interesting. Tracking the changes in scientific thought over time can be fascinating for students as they see how scientists based their growing understanding on empirical data that…

Survey of K-12 Science Teachers' Educational Product Needs from Planetary Scientists

ERIC Educational Resources Information Center

Slater, Stephanie J.; Slater, Timothy F.; Olsen, Julia K.

2009-01-01

Most education reform documents of the last two decades call for students to have authentic science inquiry experiences that mimic scientific research using real scientific data. In order for professional planetary scientists to provide the most useful data and professional development for K-12 teachers in support of science education reform, an…

Scientific Symbiosis Represents the Mutual Benefit of Iteratively Adopting the Perspective of Realism and Instrumentalism

ERIC Educational Resources Information Center

Cacioppo, John T.; Berntson, Gary G.; Semin, Gu R.

2005-01-01

This article presents comments on "Psychology Needs Realism not Instrumentalism" by B. Haig, "Ontological and Epistemic Claims of Realism and Instrumentalism" by Lau and "The Scientific Denial of the Real and the Dialectic of Scientism and Humanism" by Ramey and Chrysikou which were all comments on the original article "Realism, Instrumentalism,…

The Scientific Denial of the Real and the Dialectic of Scientism and Humanism

ERIC Educational Resources Information Center

Ramey, Christopher H.; Chrysikou, Evangelia G.

2005-01-01

This article presents comments on "Realism, Instrumentalism, and Scientific Symbiosis: Psychological Theory as a Search for Truth and the Discovery of Solutions" by John T. Cacioppo, Gun R. Semin and Gary G. Berntson. The appeal for the unification of psychology is in fashion and Cacioppo et al.'s term "symbiosis" connotes a cooperative and…

Transient Turbine Engine Modeling with Hardware-in-the-Loop Power Extraction (PREPRINT)

DTIC Science & Technology

2008-07-01

Furthermore, it must be compatible with a real - time operating system that is capable of running the simulation. For some models, especially those that use...problem of interfacing the engine/control model to a real - time operating system and associated lab hardware becomes a problem of interfacing these...model in real-time. This requires the use of a real - time operating system and a compatible I/O (input/output) board. Figure 1 illustrates the HIL

Fundamental Problems of Lunar Research, Technical Solutions, and Priority Lunar Regions for Research

NASA Astrophysics Data System (ADS)

Ivanov, M. A.; Basilevsky, A. T.; Bricheva, S. S.; Guseva, E. N.; Demidov, N. E.; Zakharova, M.; Krasil'nikov, S. S.

2017-11-01

In this article, we discuss four fundamental scientific problems of lunar research: (1) lunar chronology, (2) the internal structure of the Moon, (3) the lunar polar regions, and (4) lunar volcanism. After formulating the scientific problems and their components, we proceed to outlining a list of technical solutions and priority lunar regions for research. Solving the listed problems requires investigations on the lunar surface using lunar rovers, which can deliver a set of analytical equipment to places where geological conditions are known from a detailed analysis of orbital information. The most critical research methods, which can answer some of the key questions, are analysis of local geological conditions from panoramic photographs, determination of the chemical, isotopic, and mineral composition of the soil, and deep seismic sounding. A preliminary list is given of lunar regions with high scientific priority.

[Scientific training and professional practice in Vicente Cervantes Mendo's Spain.].

PubMed

Villegas, José Pastor

2010-01-01

Vicente Cervantes Mendo (Ledrada, Salamanca, 1758 - México, 1829) was a famous Spanish Mexican scientists; he is today heritage of Spain and Mexico. As a continuation of two recent articles on his life at Spain, the present study deals with his scientific formation at madrid, as pharmacist and as botanist, as well as on his professional activity. Two documents of Casimiro Gómez Ortega, principal professor of the Real Jardín Botánico de Madrid, dated in 1786 and related with the "Real Expedición Botánica a Nueva España (1787-1803)," have served to establish conclusions which clarify the subjects studied and correct mistakes.

Nonfiction Literature that Highlights Inquiry: How "Real" People Solve "Real" Problems

ERIC Educational Resources Information Center

Zarnowski, Myra; Turkel, Susan

2011-01-01

In this article, the authors explain how nonfiction literature can demonstrate the nature of problem solving within disciplines such as math, science, and social studies. This literature illustrates what it means to puzzle over problems, to apply disciplinary thinking, and to develop creative solutions. The authors look closely at three examples…

Influence of Family Processes, Motivation, and Beliefs about Intelligence on Creative Problem Solving of Scientifically Talented Individuals

ERIC Educational Resources Information Center

Cho, Seokhee; Lin, Chia-Yi

2011-01-01

Predictive relationships among perceived family processes, intrinsic and extrinsic motivation, incremental beliefs about intelligence, confidence in intelligence, and creative problem-solving practices in mathematics and science were examined. Participants were 733 scientifically talented Korean students in fourth through twelfth grades as well as…

Stochastic Analysis and Control of Transonic Helicopter Aerodynamics and Supersonic Projectiles

DTIC Science & Technology

2009-02-02

Analysis, Edited by A. N. Sengupta and P. Sundar, World Scientific Publishers, 2008. 2. Jingling Guan and S. S. Sritharan, “A Problem of...Edited by A. N. Sengupta and P. Sundar, World Scientific Publishers, 2008. 2. Jingling Guan and S. S. Sritharan, “A Problem of Hyperbolic-Elliptic

In the eye of the cyclops: The classic case of cospeciation and why paradigms are important

USDA-ARS?s Scientific Manuscript database

Scientific disagreements due to empirical problems - not enough data, not enough of the critical type of data, problems in analyzing the data - are generally short-lived and resolved in the next cycle of data production. Those disagreements are thus transitory. Persistent scientific conflicts do n...

Students' Research-Informed Socio-Scientific Activism: Re/Visions for a Sustainable Future

ERIC Educational Resources Information Center

Bencze, Larry; Sperling, Erin; Carter, Lyn

2012-01-01

In many educational contexts throughout the world, increasing focus has been placed on "socio-scientific issues"; that is, disagreements about potential personal, social and/or environmental problems associated with fields of science and technology. Some suggest (as do we) that many of these potential problems, such as those associated with…

Promoting Scientific Literacy Using a Sociocritical and Problem-Oriented Approach to Chemistry Teaching: Concept, Examples, Experiences

ERIC Educational Resources Information Center

Marks, Ralf; Eilks, Ingo

2009-01-01

This paper revisits the discussion about the objectives of scientific literacy-oriented chemistry teaching, its connection to the German concept of "Allgemeinbildung", and the debate of "science through education" vs. "education through science". About 10 years ago the sociocritical and problem-oriented approach to…

Dealing with scientific integrity issues: the Spanish experience.

PubMed

Puigdomènech, Pere

2014-02-01

Integrity has been an important matter of concern for the scientific community as it affects the basis of its activities. Most countries having a significant scientific activity have dealt with this problem by different means, including drafting specific legal or soft law regulations and the appointment of stable or ad hoc committees that take care of these questions. This has also been the case in Spain. After the period of transition between dictatorship to a democratic regime, and, particularly, after the entrance in the European Union, scientific activity has increased in the country. As it could be expected, problems of misconduct have appeared and different institutions have been dealing with these matters. One of the best examples is that of Consejo Superior de Investigaciones Cientificas (CSIC), the largest institution devoted to scientific research belonging to the Spanish Government. The experience of the CSIC’s Ethics Committee in dealing with conflicts related to scientific practices is discussed here.

Cloud-Hosted Real-time Data Services for the Geosciences (CHORDS)

NASA Astrophysics Data System (ADS)

Daniels, M. D.; Graves, S. J.; Kerkez, B.; Chandrasekar, V.; Vernon, F.; Martin, C. L.; Maskey, M.; Keiser, K.; Dye, M. J.

2015-12-01

The Cloud-Hosted Real-time Data Services for the Geosciences (CHORDS) project, funded as part of NSF's EarthCube initiative, addresses the ever-increasing importance of real-time scientific data, particularly in mission critical scenarios, where informed decisions must be made rapidly. Advances in the distribution of real-time data are leading many new transient phenomena in space-time to be observed, however, real-time decision-making is infeasible in many cases as these streaming data are either completely inaccessible or only available to proprietary in-house tools or displays. This lack of accessibility prohibits advanced algorithm and workflow development that could be initiated or enhanced by these data streams. Small research teams do not have resources to develop tools for the broad dissemination of their valuable real-time data and could benefit from an easy to use, scalable, cloud-based solution to facilitate access. CHORDS proposes to make a very diverse suite of real-time data available to the broader geosciences community in order to allow innovative new science in these areas to thrive. This presentation will highlight recently developed CHORDS portal tools and processing systems aimed at addressing some of the gaps in handling real-time data, particularly in the provisioning of data from the "long-tail" scientific community through a simple interface deployed in the cloud. The CHORDS system will connect these real-time streams via standard services from the Open Geospatial Consortium (OGC) and does so in a way that is simple and transparent to the data provider. Broad use of the CHORDS framework will expand the role of real-time data within the geosciences, and enhance the potential of streaming data sources to enable adaptive experimentation and real-time hypothesis testing. Adherence to community data and metadata standards will promote the integration of CHORDS real-time data with existing standards-compliant analysis, visualization and modeling tools.

Expanding our perspectives on research in musculoskeletal science and practice.

PubMed

Kerry, Roger

2017-12-01

The quantity and quality of scientific research within physiotherapy has unquestionably grown and matured over the last few decades, especially since the "formal" onset of evidence-based physiotherapy in the 1990s. The urgent need to evaluate our practice for effectiveness and efficiency has been responded to with thought and respect to both scientific integrity and shop-floor clinical needs. However, after thirty years or more of a professionally-governed and strategic approach to research activity, it is now timely to reflect, review, and consider the next chapter in the relationship between scientific research and clinical practice. This masterclass aims to develop a research vision for the future of physiotherapy. It is proposed that a crisis is evident within evidence-based physiotherapy, particular so given the assumed complexity and context-sensitivity of our clinical practice. This crisis period has highlighted fundamental limitations within the way research and practice are currently related. These limitations are presented and framed within the problematisation of empirical and philosophical concerns. As research becomes increasingly aligned to traditional scientific principles, examination of the real world context in which its outcomes are intended expose critical challenges for both research and clinical practice. A reconceptualisation of fundamental elements of scientific research may allow more meaningful relationships between research and clinical practice. A proposed research vision encourages scientific activity to embrace real-world complexity in a way that it is presently unable to. An enhanced person-centered, scientifically-informed world of effective musculoskeletal practice is envisaged. Copyright © 2017 Elsevier Ltd. All rights reserved.

Thou shalt not take sides: Cognition, Logic and the need for changing how we believe

NASA Astrophysics Data System (ADS)

Martins, Andre

2016-03-01

We believe in many different ways. One very common one is by supporting ideas we like. We label them correct and we act to dismiss doubts about them. We take sides about ideas and theories as if that was the right thing to do. And yet, from a rational point of view, this type of support and belief is not justifiable. The best we can hope when describing the real world, as far as we know today, is to have probabilistic knowledge. In practice, estimating a real probability can be too hard to achieve but that just means we have more uncertainty, not less. There are ideas we defend that define, in our minds, our own identity. And recent experiments have been showing that we stop being able to analyze competently those propositions we hold so dearly. In this paper, I gather the evidence we have about taking sides and present the obvious but unseen conclusion that these facts combined mean that we should actually never believe in anything about the real world, except in a probabilistic way. We must actually never take sides since taking sides compromise our abilities to seek for the most correct description of the world. That means we need to start reformulating the way we debate ideas, from our teaching to our political debates. Here, I will show the logical and experimental basis of this conclusion. I will also show, by presenting new models for the evolution of opinions, that our desire to have something to believe is probably behind the emergence of extremism in debates. And we will see how this problem can even have an impact in the reliability of whole scientific fields. The crisis around p-values is discussed and much better understood under the light of this paper results. Finally, I will debate possible consequences and ideas on how to deal with this problem.

The Effects of Duration of Exposure to the REAPS Model in Developing Students' General Creativity and Creative Problem Solving in Science

ERIC Educational Resources Information Center

Alhusaini, Abdulnasser Alashaal F.

2016-01-01

The Real Engagement in Active Problem Solving (REAPS) model was developed in 2004 by C. June Maker and colleagues as an intervention for gifted students to develop creative problem solving ability through the use of real-world problems. The primary purpose of this study was to examine the effects of the REAPS model on developing students' general…

Cross-cultural perspectives of scientific misconduct.

PubMed

Momen, Hooman; Gollogly, Laragh

2007-09-01

The increasing globalization of scientific research lends urgency to the need for international agreement on the concepts of scientific misconduct. Universal spiritual and moral principles on which ethical standards are generally based indicate that it is possible to reach international agreement on the ethical principles underlying good scientific practice. Concordance on an operational definition of scientific misconduct that would allow independent observers to agree which behaviour constitutes misconduct is more problematic. Defining scientific misconduct to be universally recognized and universally sanctioned means addressing the broader question of ensuring that research is not only well-designed - and addresses a real need for better evidence - but that it is ethically conducted in different cultures. An instrument is needed to ensure that uneven ethical standards do not create unnecessary obstacles to research, particularly in developing countries.

Teaching Young People to Be Curious, to Observe the Environment, to Think Critically

NASA Astrophysics Data System (ADS)

Ferraris, M.; Scheurle, C.; Claustre, H.

2016-02-01

The Observatoire Océanologique de Villefranche-sur-Mer (OOV) is one of thirty partners participating to the outreach project MEDITES (Méditerranée Diffusion des Techniques et des Sciences). The aim of this innovating project is to bring scientific culture to secondary school students socially or territorially distant from this type of culture, by means of different learning paths conceived and carried out by researchers in collaboration with professionals in the scientific mediation. In particular the OOV staff works in tandem with animators of the association Les Petits Débrouillardsto introduce students to oceanography. Each of the ten sessions of our learning paths includes a scientific part, based on research topics of the OOV, and a hands-on part, consisting of games, experiments or dynamic debates to better understand the scientific topics. Mixing these two approaches is helpful to maintain concentration, to have fun and consequently reduce the gap with science, a real challenge in the case of students with social problems. The ultimate goal of this method is not only to teach oceanography, but rather to teach to observe what surrounds us, to be curious, to ask questions, to think critically, to experiment and test in order to find the answers to these questions by yourself. In particular one session of our learning paths is carried out also in collaboration with the astronomers and the géophysicists of the Observatoire de la Côte d'Azur(OCA), in order to make the students aware of some common points between oceanography, astronomy and geosciences : the observation of the environment with instruments more or less sophisticated, and to the scientific approach. The most interesting aspect of this project is to monitore these classes throughout the year. During this time we have seen them mature in their way of thinking and that we could arouse the curiosity of these young students to make them more resourceful.

Acting to gain information: Real-time reasoning meets real-time perception

NASA Technical Reports Server (NTRS)

Rosenschein, Stan

1994-01-01

Recent advances in intelligent reactive systems suggest new approaches to the problem of deriving task-relevant information from perceptual systems in real time. The author will describe work in progress aimed at coupling intelligent control mechanisms to real-time perception systems, with special emphasis on frame rate visual measurement systems. A model for integrated reasoning and perception will be discussed, and recent progress in applying these ideas to problems of sensor utilization for efficient recognition and tracking will be described.

Scientific Revolutions to the nth power: n = 0, 1, 2, 3.

NASA Astrophysics Data System (ADS)

Beichler, James

2008-04-01

Thomas Kuhn's description and characterization of scientific revolutions set the standard for interpreting and understanding these events, but his characterization introduced an anomaly. Newtonian science was at the pinnacle of its success immediately prior to the Second Scientific Revolution. From an evolutionary point-of-view, there were no crises to be solved just problems within the Newtonian paradigm, whereas the specific crises that initiated the revolution are evident from everyone's point-of-view after the revolution. This paradox is well recognized, but it seems not to be a problem and is just ignored as if it were not important or significant. Yet this discrepancy strikes at the very heart of physics and the overall progress of science. Historical conditions currently parallel the period immediately prior to the Second Scientific Revolution indicating that a new scientific revolution is approaching. When a comparison of the two periods is made, new characteristics of scientific revolutions are identified, the paradox is solved and evidence of a Zeroth Scientific Revolution emerges from the historical record.

From Theory to Practice: A Path through Imperfection--Lessons from Evaluation of Policy Oriented Environmental Health Research in Belgium

ERIC Educational Resources Information Center

Keune, Hans; Morrens, Bert; Loots, Ilse; Springael, Johan

2011-01-01

Background: Dealing with complex issues per definition bears the burden of imperfection. Whatever comforting theoretical concepts may promise, real life complexity will take its messy toll once travelling from conceptual ambition to real life practice. We specifically reflect on the social scientific contribution to these inter- and…

Scientific & Intelligence Exascale Visualization Analysis System

DOE Office of Scientific and Technical Information (OSTI.GOV)

Money, James H.

SIEVAS provides an immersive visualization framework for connecting multiple systems in real time for data science. SIEVAS provides the ability to connect multiple COTS and GOTS products in a seamless fashion for data fusion, data analysis, and viewing. It provides this capability by using a combination of micro services, real time messaging, and web service compliant back-end system.

Exploration of Secondary Students' Creativity by Integrating Web-Based Technology into an Innovative Science Curriculum

ERIC Educational Resources Information Center

Jang, Syh-Jong

2009-01-01

The purpose of the study was to investigate how web-based technology could be utilized and integrated with real-life scientific materials to stimulate the creativity of secondary school students. One certified science teacher and 31 seventh graders participated in this study. Several real-life experience science sessions integrated with online…

Avengers Assemble! Using pop-culture icons to communicate science

PubMed Central

2014-01-01

Engaging communication of complex scientific concepts with the general public requires more than simplification. Compelling, relevant, and timely points of linkage between scientific concepts and the experiences and interests of the general public are needed. Pop-culture icons such as superheroes can represent excellent opportunities for exploring scientific concepts in a mental “landscape” that is comfortable and familiar. Using an established icon as a familiar frame of reference, complex scientific concepts can then be discussed in a more accessible manner. In this framework, scientists and the general public use the cultural icon to occupy a commonly known performance characteristic. For example, Batman represents a globally recognized icon who represents the ultimate response to exercise and training. The physiology that underlies Batman's abilities can then be discussed and explored using real scientific examples that highlight truths and fallacies contained in the presentation of pop-culture icons. Critically, it is not important whether the popular representation of the icon shows correct science because the real science can be revealed in discussing the character through this lens. Scientists and educators can then use these icons as foils for exploring complex ideas in a context that is less threatening and more comfortable for the target audience. A “middle-ground hypothesis” for science communication is proposed in which pop-culture icons are used to exploring scientific concepts in a bridging mental landscape that is comfortable and familiar. This approach is encouraged for communication with all nonscientists regardless of age. PMID:25039082

Avengers Assemble! Using pop-culture icons to communicate science.

PubMed

Zehr, E Paul

2014-06-01

Engaging communication of complex scientific concepts with the general public requires more than simplification. Compelling, relevant, and timely points of linkage between scientific concepts and the experiences and interests of the general public are needed. Pop-culture icons such as superheroes can represent excellent opportunities for exploring scientific concepts in a mental “landscape” that is comfortable and familiar. Using an established icon as a familiar frame of reference, complex scientific concepts can then be discussed in a more accessible manner. In this framework, scientists and the general public use the cultural icon to occupy a commonly known performance characteristic. For example, Batman represents a globally recognized icon who represents the ultimate response to exercise and training. The physiology that underlies Batman’s abilities can then be discussed and explored using real scientific examples that highlight truths and fallacies contained in the presentation of pop-culture icons. Critically, it is not important whether the popular representation of the icon shows correct science because the real science can be revealed in discussing the character through this lens. Scientists and educators can then use these icons as foils for exploring complex ideas in a context that is less threatening and more comfortable for the target audience. A “middle-ground hypothesis” for science communication is proposed in which popculture icons are used to exploring scientific concepts in a bridging mental landscape that is comfortable and familiar. This approach is encouraged for communication with all nonscientists regardless of age.

Language Problems in Applied Linguistics: Limiting the Scope

ERIC Educational Resources Information Center

Kadarisman, A. Effendi

2014-01-01

This article critically discusses the paradigmatic shift in applied linguistics, resulting in a claim that countless real-world language problems fall within its scope, but in reality they weaken the discipline and make it lack a focus. Then it takes a closer look at the nature of these language problems, and picks out, for analysis, real examples…

Proportional Reasoning: An Essential Component of Scientific Understanding

ERIC Educational Resources Information Center

Hilton, Annette; Hilton, Geoff

2016-01-01

In many scientific contexts, students need to be able to use mathematical knowledge in order to engage in scientific reasoning and problem-solving, and their understanding of scientific concepts relies heavily on their ability to understand and use mathematics in often new or unfamiliar contexts. Not only do science students need high levels of…

Adventures in supercomputing: Scientific exploration in an era of change

DOE Office of Scientific and Technical Information (OSTI.GOV)

Gentry, E.; Helland, B.; Summers, B.

1997-11-01

Students deserve the opportunity to explore the world of science surrounding them. Therefore it is important that scientific exploration and investigation be a part of each student`s educational career. The Department of Energy`s Adventures in Superconducting (AiS) takes students beyond mere scientific literacy to a rich embodiment of scientific exploration. AiS provides today`s science and math students with a greater opportunity to investigate science problems, propose solutions, explore different methods of solving the problem, organize their work into a technical paper, and present their results. Students learn at different rates in different ways. Science classes with students having varying learningmore » styles and levels of achievement have always been a challenge for teachers. The AiS {open_quotes}hands-on, minds-on{close_quotes} project-based method of teaching science meets the challenge of this diversity heads on! AiS uses the development of student chosen projects as the means of achieving a lifelong enthusiasm for scientific proficiency. One goal of AiS is to emulate the research that takes place in the everyday environment of scientists. Students work in teams and often collaborate with students nationwide. With the help of mentors from the academic and scientific community, students pose a problem in science, investigate possible solutions, design a mathematical and computational model for the problem, exercise the model to achieve results, and evaluate the implications of the results. The students then have the opportunity to present the project to their peers, teachers, and scientists. Using this inquiry-based technique, students learn more than science skills, they learn to reason and think -- going well beyond the National Science Education Standard. The teacher becomes a resource person actively working together with the students in their quest for scientific knowledge.« less

The Use of Photo Elicitation Interviews in Summer Science Programs to Determine Children's Perceptions of Being a Scientist

ERIC Educational Resources Information Center

Scott, Catherine Marie

2014-01-01

Reform-based science education emphasizes the need for engagement in authentic science, that is, work that resembles real-life scientific practices. However, few studies address the notion of authenticity from the participants' perspectives. As such, this study addresses the following: What events do young participants view as scientific? To what…

Scientific Participation at the Poles: K-12 Teachers in Polar Science for Careers and Classrooms

NASA Astrophysics Data System (ADS)

Crowley, S.; Warburton, J.

2012-12-01

PolarTREC (Teachers and Researchers Exploring and Collaborating) is a National Science Foundation (NSF) funded program in which K-12 teachers participate in hands-on field research experiences in the polar regions. PolarTREC highlights the importance of involving teachers in scientific research in regards to their careers as educators and their ability to engage students in the direct experience of science. To date, PolarTREC has placed over 90 teachers with research teams in the Arctic and Antarctic. Published results of our program evaluation quantify the effect of the field experience on the teachers' use of the real scientific process in the classroom, the improvement in science content taught in classrooms, and the use of non-fiction texts (real data and science papers) as primary learning tools for students. Teachers and students both report an increase of STEM literacy in the classroom content, confidence in science education, as well as a markedly broadened outlook of science as essential to their future. Research conducted with science teams affirms that they are achieving broader impacts when PolarTREC teachers are involved in their expeditions. Additionally, they reported that these teachers making vital contributions to the success of the scientific project.

Developing Physics E-Scaffolding Teaching Media to Increase the Eleventh-Grade Students' Problem Solving Ability and Scientific Attitude

ERIC Educational Resources Information Center

Saputri, Affa Ardhi; Wilujeng, Insih

2017-01-01

This research aims at revealing (1) the suitability of physics e-scaffolding teaching media with mathematical and image/diagrammatic representation, as well as (2) the effectiveness of the e-scaffolding teaching media with mathematical and image/diagrammatic representation to improve students' problem solving ability and scientific attitude. It is…

[Attempt at scientific theoretical classification of behavior therapy].

PubMed

Reinecker, H

1976-01-01

Following the discussion about the position of behavior therapy there are mentioned some problems of behaviorism, the connection between behavior therapy and learning theory and problems of etiology and treatment. The usefulness of known criteria (formal as well as non-formal) should be demonstrated. There are discussed three different positions of behavior therapy within the scientific disciplines.

Scientific Paradigms and Falsification: Kuhn, Popper, and Problems in Education Research

ERIC Educational Resources Information Center

Hyslop-Margison, Emery James

2010-01-01

By examining the respective contributions of Karl Popper and Thomas Kuhn to the philosophy of science, the author highlights some prevailing problems in this article with the methods of so-called scientific research in education. The author enumerates a number of reasons why such research, in spite of its limited tangible return, continues to gain…

A Test of the Circumvention-of-Limits Hypothesis in Scientific Problem Solving: The Case of Geological Bedrock Mapping

ERIC Educational Resources Information Center

Hambrick, David Z.; Libarkin, Julie C.; Petcovic, Heather L.; Baker, Kathleen M.; Elkins, Joe; Callahan, Caitlin N.; Turner, Sheldon P.; Rench, Tara A.; LaDue, Nicole D.

2012-01-01

Sources of individual differences in scientific problem solving were investigated. Participants representing a wide range of experience in geology completed tests of visuospatial ability and geological knowledge, and performed a geological bedrock mapping task, in which they attempted to infer the geological structure of an area in the Tobacco…

Exploring Relationships among Belief in Genetic Determinism, Genetics Knowledge, and Social Factors

ERIC Educational Resources Information Center

Gericke, Niklas; Carver, Rebecca; Castéra, Jérémy; Evangelista, Neima Alice Menezes; Marre, Claire Coiffard; El-Hani, Charbel N.

2017-01-01

Genetic determinism can be described as the attribution of the formation of traits to genes, where genes are ascribed more causal power than what scientific consensus suggests. Belief in genetic determinism is an educational problem because it contradicts scientific knowledge, and is a societal problem because it has the potential to foster…

Automated real-time software development

NASA Technical Reports Server (NTRS)

Jones, Denise R.; Walker, Carrie K.; Turkovich, John J.

1993-01-01

A Computer-Aided Software Engineering (CASE) system has been developed at the Charles Stark Draper Laboratory (CSDL) under the direction of the NASA Langley Research Center. The CSDL CASE tool provides an automated method of generating source code and hard copy documentation from functional application engineering specifications. The goal is to significantly reduce the cost of developing and maintaining real-time scientific and engineering software while increasing system reliability. This paper describes CSDL CASE and discusses demonstrations that used the tool to automatically generate real-time application code.

Real-Time Parameter Estimation Using Output Error

NASA Technical Reports Server (NTRS)

Grauer, Jared A.

2014-01-01

Output-error parameter estimation, normally a post- ight batch technique, was applied to real-time dynamic modeling problems. Variations on the traditional algorithm were investigated with the goal of making the method suitable for operation in real time. Im- plementation recommendations are given that are dependent on the modeling problem of interest. Application to ight test data showed that accurate parameter estimates and un- certainties for the short-period dynamics model were available every 2 s using time domain data, or every 3 s using frequency domain data. The data compatibility problem was also solved in real time, providing corrected sensor measurements every 4 s. If uncertainty corrections for colored residuals are omitted, this rate can be increased to every 0.5 s.

Scientist-teacher collaboration: Integration of real data from a coastal wetland into a high school life science ecology-based research project

NASA Astrophysics Data System (ADS)

Hagan, Wendy L.

Project G.R.O.W. is an ecology-based research project developed for high school biology students. The curriculum was designed based on how students learn and awareness of the nature of science and scientific practices so that students would design and carry out scientific investigations using real data from a local coastal wetland. This was a scientist-teacher collaboration between a CSULB biologist and high school biology teacher. Prior to implementing the three-week research project, students had multiple opportunities to practice building requisite skills via 55 lessons focusing on the nature of science, scientific practices, technology, Common Core State Standards of reading, writing, listening and speaking, and Next Generation Science Standards. Project G.R.O.W. culminated with student generated research papers and oral presentations. Outcomes reveal students struggle with constructing explanations and the use of Excel to create meaningful graphs. They showed gains in data organization, analysis, teamwork and aspects of the nature of science.

Aggregation Pheromone System: A Real-parameter Optimization Algorithm using Aggregation Pheromones as the Base Metaphor

NASA Astrophysics Data System (ADS)

Tsutsui, Shigeyosi

This paper proposes an aggregation pheromone system (APS) for solving real-parameter optimization problems using the collective behavior of individuals which communicate using aggregation pheromones. APS was tested on several test functions used in evolutionary computation. The results showed APS could solve real-parameter optimization problems fairly well. The sensitivity analysis of control parameters of APS is also studied.

Harnessing Systems Engineering Methodology in Using Earth Science Research Data for Real Applications

NASA Technical Reports Server (NTRS)

Habib, Shahid; Policelli, Fritz S.; Zanoni, Vicki M.

2004-01-01

For the last three decades, Earth science remote sensing technologies have been providing an enormous amount of useful data and information serving to broaden our understanding of the home planet as a system. NASA's Earth science program has deployed about 18 complex satellites and is in the process of defining and launching multiple observing systems in this decade. At the same time, the European Community and many other countries such as Russia, France, India, Japan, and China have also significantly contributed to Earth science research. To date, the majority of such efforts have concentrated on expanding our scientific understanding of the multiple nonlinear and chaotic processes of Earth's behavior. In recent years, legislators and stakeholders have put serious pressure on the science community to devote more attention to making use of scientific results for societal benefit. For instance, there are a number of areas such as energy forecasting, aviation safety, agricultural efficiency, disaster management, air quality and public health that can directly take advantage of Earth science results to analyze and predict large scale problems and conditions. This is becoming even more important now that we live in a global economy interconnected via the internet and transportation systems; regional environmental conditions can have far reaching impact across continental boundaries. These factors dictate requirements for global data that can help us assess and control the devastating problems of famine, water resources, wildfires, human health and more. To do this requires a serious, organized, and systematic approach that transfers fundamental research products to the applied sciences domain. This paper presents a systems engineering and management process that can effectively make such transfer of data to the user community. Examples are presented on how the above decision making framework can help in solving critical problems such as the spread of vector borne diseases, forecasts of harmful algal blooms as well as forest fires and wildfires, and the intercontinental transport of dust storms and pollution.

A Computational Framework for Quantifying and Optimizing the Performance of Observational Networks in 4D-Var Data Assimilation

NASA Astrophysics Data System (ADS)

Cioaca, Alexandru

A deep scientific understanding of complex physical systems, such as the atmosphere, can be achieved neither by direct measurements nor by numerical simulations alone. Data assimila- tion is a rigorous procedure to fuse information from a priori knowledge of the system state, the physical laws governing the evolution of the system, and real measurements, all with associated error statistics. Data assimilation produces best (a posteriori) estimates of model states and parameter values, and results in considerably improved computer simulations. The acquisition and use of observations in data assimilation raises several important scientific questions related to optimal sensor network design, quantification of data impact, pruning redundant data, and identifying the most beneficial additional observations. These questions originate in operational data assimilation practice, and have started to attract considerable interest in the recent past. This dissertation advances the state of knowledge in four dimensional variational (4D-Var) data assimilation by developing, implementing, and validating a novel computational framework for estimating observation impact and for optimizing sensor networks. The framework builds on the powerful methodologies of second-order adjoint modeling and the 4D-Var sensitivity equations. Efficient computational approaches for quantifying the observation impact include matrix free linear algebra algorithms and low-rank approximations of the sensitivities to observations. The sensor network configuration problem is formulated as a meta-optimization problem. Best values for parameters such as sensor location are obtained by optimizing a performance criterion, subject to the constraint posed by the 4D-Var optimization. Tractable computational solutions to this "optimization-constrained" optimization problem are provided. The results of this work can be directly applied to the deployment of intelligent sensors and adaptive observations, as well as to reducing the operating costs of measuring networks, while preserving their ability to capture the essential features of the system under consideration.

Reusable Client-Side JavaScript Modules for Immersive Web-Based Real-Time Collaborative Neuroimage Visualization.

PubMed

Bernal-Rusiel, Jorge L; Rannou, Nicolas; Gollub, Randy L; Pieper, Steve; Murphy, Shawn; Robertson, Richard; Grant, Patricia E; Pienaar, Rudolph

2017-01-01

In this paper we present a web-based software solution to the problem of implementing real-time collaborative neuroimage visualization. In both clinical and research settings, simple and powerful access to imaging technologies across multiple devices is becoming increasingly useful. Prior technical solutions have used a server-side rendering and push-to-client model wherein only the server has the full image dataset. We propose a rich client solution in which each client has all the data and uses the Google Drive Realtime API for state synchronization. We have developed a small set of reusable client-side object-oriented JavaScript modules that make use of the XTK toolkit, a popular open-source JavaScript library also developed by our team, for the in-browser rendering and visualization of brain image volumes. Efficient realtime communication among the remote instances is achieved by using just a small JSON object, comprising a representation of the XTK image renderers' state, as the Google Drive Realtime collaborative data model. The developed open-source JavaScript modules have already been instantiated in a web-app called MedView , a distributed collaborative neuroimage visualization application that is delivered to the users over the web without requiring the installation of any extra software or browser plugin. This responsive application allows multiple physically distant physicians or researchers to cooperate in real time to reach a diagnosis or scientific conclusion. It also serves as a proof of concept for the capabilities of the presented technological solution.

An Operationally Based Vision Assessment Simulator for Domes

NASA Technical Reports Server (NTRS)

Archdeacon, John; Gaska, James; Timoner, Samson

2012-01-01

The Operational Based Vision Assessment (OBVA) simulator was designed and built by NASA and the United States Air Force (USAF) to provide the Air Force School of Aerospace Medicine (USAFSAM) with a scientific testing laboratory to study human vision and testing standards in an operationally relevant environment. This paper describes the general design objectives and implementation characteristics of the simulator visual system being created to meet these requirements. A key design objective for the OBVA research simulator is to develop a real-time computer image generator (IG) and display subsystem that can display and update at 120 frame s per second (design target), or at a minimum, 60 frames per second, with minimal transport delay using commercial off-the-shelf (COTS) technology. There are three key parts of the OBVA simulator that are described in this paper: i) the real-time computer image generator, ii) the various COTS technology used to construct the simulator, and iii) the spherical dome display and real-time distortion correction subsystem. We describe the various issues, possible COTS solutions, and remaining problem areas identified by NASA and the USAF while designing and building the simulator for future vision research. We also describe the critically important relationship of the physical display components including distortion correction for the dome consistent with an objective of minimizing latency in the system. The performance of the automatic calibration system used in the dome is also described. Various recommendations for possible future implementations shall also be discussed.

Oak Regeneration: A Knowledge Synthesis

Treesearch

H. Michael Rauscher; David L. Loftis; Charles E. McGee; Christopher V. Worth

1997-01-01

This scientific literature is represented by a hypertext software. To view this literature you must download and install the hypertext software.Abstract: The scientific literature concerning oak regeneration problems is lengthy, complex, paradoxical, and often perplexing. Despite a large scientific literature and numerous conference...

Integration of educational and scientific-technological areas during the process of education of aerospace engineers

NASA Astrophysics Data System (ADS)

Mayorova, Vera

2011-09-01

National priorities, defined by modern state of high-tech industries, demand adequate problem solving of training professionals possessing required modern qualifications. Modern tendencies of the development of aerospace technologies, harsh competition in the market of space services and expansion of international cooperation for implementation of space projects, demand sharp increase of the scientific/technical level and competitiveness of the developed projects. Especially important is to be able to solve technological problems, which in turn define the cost and quality attributes of the designed item, as well as the ability to utilize the most modern design principles. Training of highly efficient, creative professionals who are capable of generating and implementing new ideas is a very important factor driving not only the development of national economy and industry, but also enriching the human capital of the country. Moscow State Technical University named after N.E. Bauman developed and successfully implemented the project-oriented technology of professional training for aerospace industry. It assumes a multitude of forms, methodologies and organizational events, which allow preparing the specialists - on the basis of integration of scientific/technological and educational environment - who are adapted to the conditions of the intellectual market. The Youth Space Center of the University is the base where graduate and post-graduate students attend unique lectures as a part of the facultative course "Applied Cosmonautics", participate in annual International Youth Science School "Space Development: Theory and Practice" and develop innovative technical projects aimed at creation of real-life space hardware. Microsatellite technologies are being developed in Bauman University through various projects, which are implemented in a coordinated manner by way of accomplishing the following steps: development of small-size satellites by universities, using them as test-beds for quick and affordable trial-and-test of new technologies and design solutions in aerospace followed by implementation of selected efficiencies in the industry; development and improvement of ground control infrastructure based in the university, which includes the Mission Control Center and the Earth Remote Sensing Center; development of cooperative partnerships with international partners in the field of microsatellite technologies with the goal of sharing experience, uniting efforts in preparing and running scientific and educational experiments and creating next-generation spacecraft by multi-national student groups. Such approaches allow creating seamless environment that unites educational, scientific and innovative processes. This allows students to develop high professionalism, modern engineering thinking and stable engineering skills at an early stage of education at the university.

Data Quality Control of the French Permanent Broadband Network in the RESIF Framework.

NASA Astrophysics Data System (ADS)

Grunberg, M.; Lambotte, S.; Engels, F.

2014-12-01

In the framework of the RESIF (Réseau Sismologique et géodésique Français) project, a new information system is setting up, allowing the improvement of the management and the distribution of high quality data from the different elements of RESIF. Within this information system, EOST (in Strasbourg) is in charge of collecting real-time permanent broadband seismic waveform, and performing Quality Control on these data. The real-time and validated data set are pushed to the French National Distribution Center (Isterre/Grenoble) to make them publicly available. Furthermore EOST hosts the BCSF-ReNaSS, in charge of the French metropolitan seismic bulletin. This allows to benefit from some high-end quality control based on the national and world-wide seismicity. Here we present the real-time seismic data flow from the stations of the French National Broad Band Network to EOST, and then, the data Quality Control procedures that were recently installed, including some new developments.The data Quality Control consists in applying a variety of processes to check the consistency of the whole system from the stations to the data center. This allows us to verify that instruments and data transmission are operating correctly. Moreover, time quality is critical for most of the scientific data applications. To face this challenge and check the consistency of polarities and amplitudes, we deployed several high-end processes including a noise correlation procedure to check for timing accuracy (intrumental time errors result in a time-shift of the whole cross-correlation, clearly distinct from those due to change in medium physical properties), and a systematic comparison of synthetic and real data for teleseismic earthquakes of magnitude larger than 6.5 to detect timing errors as well as polarity and amplitude problems.

Do Children Do What They Say? Responses to Hypothetical and Real-Life Social Problems in Children with Mild Intellectual Disabilities and Behaviour Problems

ERIC Educational Resources Information Center

van Nieuwenhuijzen, M.; Bijman, E. R.; Lamberix, I. C. W.; Wijnroks, L.; de Castro, B. Orobio; Vermeer, A.; Matthys, W.

2005-01-01

Abstract: Background Most research on children's social problem-solving skills is based on responses to hypothetical vignettes. Just how these responses relate to actual behaviour in real-life social situations is, however, unclear, particularly for children with mild intellectual disabilities (MID). Method: In the present study, the spontaneous…

Virtual reality at work

NASA Technical Reports Server (NTRS)

Brooks, Frederick P., Jr.

1991-01-01

The utility of virtual reality computer graphics in telepresence applications is not hard to grasp and promises to be great. When the virtual world is entirely synthetic, as opposed to real but remote, the utility is harder to establish. Vehicle simulators for aircraft, vessels, and motor vehicles are proving their worth every day. Entertainment applications such as Disney World's StarTours are technologically elegant, good fun, and economically viable. Nevertheless, some of us have no real desire to spend our lifework serving the entertainment craze of our sick culture; we want to see this exciting technology put to work in medicine and science. The topics covered include the following: testing a force display for scientific visualization -- molecular docking; and testing a head-mounted display for scientific and medical visualization.

Utilizing national and international registries to enhance pre-market medical device regulatory evaluation.

PubMed

Yue, Lilly Q; Campbell, Gregory; Lu, Nelson; Xu, Yunling; Zuckerman, Bram

2016-01-01

Regulatory decisions are made based on the assessment of risk and benefit of medical devices at the time of pre-market approval and subsequently, when post-market risk-benefit balance needs reevaluation. Such assessments depend on scientific evidence obtained from pre-market studies, post-approval studies, post-market surveillance studies, patient perspective information, as well as other real world data such as national and international registries. Such registries provide real world evidence and are playing a more and more important role in enhancing the safety and effectiveness evaluation of medical devices. While these registries provide large quantities of data reflecting real world practice and can potentially reduce the cost of clinical trials, challenges arise concerning (1) data quality adequate for regulatory decision-making, (2) bias introduced at every stage and aspect of study, (3) scientific validity of study designs, and (4) reliability and interpretability of study results. This article will discuss related statistical and regulatory challenges and opportunities with examples encountered in medical device regulatory reviews.

Is Rorty’s Neopragmatism the “Real” Foundation of Medical Ethics: a Search for Foundational Principles

PubMed Central

Branch, William T

2006-01-01

Principlism, the predominate approach to bioethics, has no foundational principles. This absence of foundations reflects the general intellectual climate of postmodern relativism. Even America’s foremost public philosopher, Richard Rorty, whose pragmatism might suggest a philosophy of commonsense, seems to be swimming in the postmodern swamp. Alternatively, principlism’s architects, Beauchamp and Childress, suggest a constantly evolving reflective equilibrium with some basis in common morality as a workable framework for twenty-first century bioethics. The flaw in their approach is failure to conform to real doctors’ and patients’ experiences. Real doctors adopt a scientific paradigm that assumes an objective reality. Patients experience real suffering and seek effective cures, treatments, palliation and solace. The foundation of medical ethics should be that doctors altruistically respond to their patients’ suffering using scientifically acceptable modalities. Compassion, caring, and respect for human dignity are needed as guides in addition to justice, beneficence, nonmaleficence and respect for autonomy. PMID:18528478

An open source workflow for 3D printouts of scientific data volumes

NASA Astrophysics Data System (ADS)

Loewe, P.; Klump, J. F.; Wickert, J.; Ludwig, M.; Frigeri, A.

2013-12-01

As the amount of scientific data continues to grow, researchers need new tools to help them visualize complex data. Immersive data-visualisations are helpful, yet fail to provide tactile feedback and sensory feedback on spatial orientation, as provided from tangible objects. The gap in sensory feedback from virtual objects leads to the development of tangible representations of geospatial information to solve real world problems. Examples are animated globes [1], interactive environments like tangible GIS [2], and on demand 3D prints. The production of a tangible representation of a scientific data set is one step in a line of scientific thinking, leading from the physical world into scientific reasoning and back: The process starts with a physical observation, or from a data stream generated by an environmental sensor. This data stream is turned into a geo-referenced data set. This data is turned into a volume representation which is converted into command sequences for the printing device, leading to the creation of a 3D printout. As a last, but crucial step, this new object has to be documented and linked to the associated metadata, and curated in long term repositories to preserve its scientific meaning and context. The workflow to produce tangible 3D data-prints from science data at the German Research Centre for Geosciences (GFZ) was implemented as a software based on the Free and Open Source Geoinformatics tools GRASS GIS and Paraview. The workflow was successfully validated in various application scenarios at GFZ using a RapMan printer to create 3D specimens of elevation models, geological underground models, ice penetrating radar soundings for planetology, and space time stacks for Tsunami model quality assessment. While these first pilot applications have demonstrated the feasibility of the overall approach [3], current research focuses on the provision of the workflow as Software as a Service (SAAS), thematic generalisation of information content and long term curation. [1] http://www.arcscience.com/systemDetails/omniTechnology.html [2] http://video.esri.com/watch/53/landscape-design-with-tangible-gis [3] Löwe et al. (2013), Geophysical Research Abstracts, Vol. 15, EGU2013-1544-1.

New project to support scientific collaboration electronically

NASA Astrophysics Data System (ADS)

Clauer, C. R.; Rasmussen, C. E.; Niciejewski, R. J.; Killeen, T. L.; Kelly, J. D.; Zambre, Y.; Rosenberg, T. J.; Stauning, P.; Friis-Christensen, E.; Mende, S. B.; Weymouth, T. E.; Prakash, A.; McDaniel, S. E.; Olson, G. M.; Finholt, T. A.; Atkins, D. E.

A new multidisciplinary effort is linking research in the upper atmospheric and space, computer, and behavioral sciences to develop a prototype electronic environment for conducting team science worldwide. A real-world electronic collaboration testbed has been established to support scientific work centered around the experimental operations being conducted with instruments from the Sondrestrom Upper Atmospheric Research Facility in Kangerlussuaq, Greenland. Such group computing environments will become an important component of the National Information Infrastructure initiative, which is envisioned as the high-performance communications infrastructure to support national scientific research.

Report of the DOD-University Forum Working Group on Engineering and Science Education.

DTIC Science & Technology

1983-07-01

high priority to strengthening our national base of scientific and technical personnel. That included im- mediate emphasis on training people in the...4 - DOD Requirements for Civilian Engineering and Scientific Personnel .. 5 - DOD Requirements for Military Engineering and Scientific ...15 - The Problem is Quality ................ o................. ...... 15 - The Quality of Engineering and Scientific Personnel in

Contemporary HIV/AIDS research: Insights from knowledge management theory

PubMed Central

Callaghan, Chris William

2017-01-01

Abstract Knowledge management as a field is concerned with the management of knowledge, including the management of knowledge in research processes. Knowledge management theory has the potential to support research into problems such as HIV, antibiotic resistance and others, particularly in terms of aspects of scientific research related to the contribution of social science. To date, however, these challenges remain with us, and theoretical contributions that can complement natural science efforts to eradicate these problems are needed. This paper seeks to offer a theoretical contribution grounded in Kuhn’s paradigm theory of innovation, and in the argument by Lakatos that scientific research can be fundamentally non-innovative, which suggests that social science aspects of knowledge creation may hold the key to more effective biomedical innovation. Given the consequences of ongoing and emerging global crises, and the failure of knowledge systems of scientific research to solve such problems outright, this paper provides a review of theory and literature arguing for a new paradigm in scientific research, based on the development of global systems to maximise research collaborations. A global systems approach effectively includes social science theory development as an important complement to the natural sciences research process. Arguably, information technology and social media technology have developed to the point at which solutions to knowledge aggregation challenges can enable solutions to knowledge problems on a scale hitherto unimaginable. Expert and non-expert crowdsourced inputs can enable problem-solving through exponentially increasing problem-solving inputs, using the ‘crowd,’ thereby increasing collaborations dramatically. It is argued that these developments herald a new era of participatory research, or a democratisation of research, which offers new hope for solving global social problems. This paper seeks to contribute to this end, and to the recognition of the important role of social theory in the scientific research process. PMID:28922967

Reaching New Heights in Middle School Science: Straw Tower Competition Builds Student Interest

ERIC Educational Resources Information Center

Pliskow, Tia

2008-01-01

Science educators face the challenge of piquing students' interest in subjects whose concepts are often entirely foreign to them. The author wanted to give her students a hands-on, "real world" experience rooted in scientific concepts. What evolved was an engineering design competition. The point of the project was two-fold: to work on real-world…

System Collects And Displays Demultiplexed Data

NASA Technical Reports Server (NTRS)

Reschke, Millard F.; Fariss, Julie L.; Kulecz, Walter B.; Paloski, William H.

1992-01-01

Electronic system collects, manipulates, and displays in real time results of manipulation of streams of data transmitted from remote scientific instrumentation. Interface circuit shifts data-and-clock signal from differential logic levels of multiplexer to single-ended logic levels of computer. System accommodates nonstandard data-transmission protocol. Software useful in applications where Macintosh computers used in real-time display and recording of data.

Sectional methods for aggregation problems: application to volcanic eruptions

NASA Astrophysics Data System (ADS)

Rossi, E.

2016-12-01

Particle aggregation is a general problem that is common to several scientific disciplines such as planetary formation, food industry and aerosol sciences. So far the ordinary approach to this class of problems relies on the solution of the Smoluchowski Coagulation Equations (SCE), a set of Ordinary Differential Equations (ODEs) derived from the Population Balance Equations (PBE), which basically describe the change in time of an initial grain-size distribution due to the interaction of "single" particles. The frequency of particles collisions and their sticking efficiencies depend on the specific problem under analysis, but the mathematical framework and the possible solutions to the ODEs seem to be somehow discipline-independent and very general. In this work we will focus on the problem of volcanic ash aggregation, since it represents an extreme case of complexity that can be relevant also to other disciplines. In fact volcanic ash aggregates observed during the fallouts are characterized by relevant porosities and they do not fit with simplified descriptions based on monomer-like structures or fractal geometries. In this work we propose a bidimensional approach to the PBEs which uses additive (mass) and non-additive (volume) internal descriptors in order to better characterize the evolution of volcanic ash aggregation. In particular we used sectional methods (fixed-pivot) to discretize the internal parameters space. This algorithm has been applied to a one dimensional volcanic plume model in order to investigate how the Total Grain Size Distribution (TGSD) changes throughout the erupted column in real scenarios (i.e. Eyjafjallajokull 2010, Sakurajima 2013 and Mt. Saint Helens 1980).

The Priority Inversion Problem and Real-Time Symbolic Model Checking

DTIC Science & Technology

1993-04-23

real time systems unpredictable in subtle ways. This makes it more difficult to implement and debug such systems. Our work discusses this problem and presents one possible solution. The solution is formalized and verified using temporal logic model checking techniques. In order to perform the verification, the BDD-based symbolic model checking algorithm given in previous works was extended to handle real-time properties using the bounded until operator. We believe that this algorithm, which is based on discrete time, is able to handle many real-time properties

A toolbox and record for scientific models

NASA Technical Reports Server (NTRS)

Ellman, Thomas

1994-01-01

Computational science presents a host of challenges for the field of knowledge-based software design. Scientific computation models are difficult to construct. Models constructed by one scientist are easily misapplied by other scientists to problems for which they are not well-suited. Finally, models constructed by one scientist are difficult for others to modify or extend to handle new types of problems. Construction of scientific models actually involves much more than the mechanics of building a single computational model. In the course of developing a model, a scientist will often test a candidate model against experimental data or against a priori expectations. Test results often lead to revisions of the model and a consequent need for additional testing. During a single model development session, a scientist typically examines a whole series of alternative models, each using different simplifying assumptions or modeling techniques. A useful scientific software design tool must support these aspects of the model development process as well. In particular, it should propose and carry out tests of candidate models. It should analyze test results and identify models and parts of models that must be changed. It should determine what types of changes can potentially cure a given negative test result. It should organize candidate models, test data, and test results into a coherent record of the development process. Finally, it should exploit the development record for two purposes: (1) automatically determining the applicability of a scientific model to a given problem; (2) supporting revision of a scientific model to handle a new type of problem. Existing knowledge-based software design tools must be extended in order to provide these facilities.

Aerodynamic Shape Optimization Using A Real-Number-Encoded Genetic Algorithm

NASA Technical Reports Server (NTRS)

Holst, Terry L.; Pulliam, Thomas H.

2001-01-01

A new method for aerodynamic shape optimization using a genetic algorithm with real number encoding is presented. The algorithm is used to optimize three different problems, a simple hill climbing problem, a quasi-one-dimensional nozzle problem using an Euler equation solver and a three-dimensional transonic wing problem using a nonlinear potential solver. Results indicate that the genetic algorithm is easy to implement and extremely reliable, being relatively insensitive to design space noise.

Model-based Clustering of High-Dimensional Data in Astrophysics

NASA Astrophysics Data System (ADS)

Bouveyron, C.

2016-05-01

The nature of data in Astrophysics has changed, as in other scientific fields, in the past decades due to the increase of the measurement capabilities. As a consequence, data are nowadays frequently of high dimensionality and available in mass or stream. Model-based techniques for clustering are popular tools which are renowned for their probabilistic foundations and their flexibility. However, classical model-based techniques show a disappointing behavior in high-dimensional spaces which is mainly due to their dramatical over-parametrization. The recent developments in model-based classification overcome these drawbacks and allow to efficiently classify high-dimensional data, even in the "small n / large p" situation. This work presents a comprehensive review of these recent approaches, including regularization-based techniques, parsimonious modeling, subspace classification methods and classification methods based on variable selection. The use of these model-based methods is also illustrated on real-world classification problems in Astrophysics using R packages.

Structure and inference in annotated networks

PubMed Central

Newman, M. E. J.; Clauset, Aaron

2016-01-01

For many networks of scientific interest we know both the connections of the network and information about the network nodes, such as the age or gender of individuals in a social network. Here we demonstrate how this ‘metadata' can be used to improve our understanding of network structure. We focus in particular on the problem of community detection in networks and develop a mathematically principled approach that combines a network and its metadata to detect communities more accurately than can be done with either alone. Crucially, the method does not assume that the metadata are correlated with the communities we are trying to find. Instead, the method learns whether a correlation exists and correctly uses or ignores the metadata depending on whether they contain useful information. We demonstrate our method on synthetic networks with known structure and on real-world networks, large and small, drawn from social, biological and technological domains. PMID:27306566

Structure and inference in annotated networks

NASA Astrophysics Data System (ADS)

Newman, M. E. J.; Clauset, Aaron

2016-06-01

For many networks of scientific interest we know both the connections of the network and information about the network nodes, such as the age or gender of individuals in a social network. Here we demonstrate how this `metadata' can be used to improve our understanding of network structure. We focus in particular on the problem of community detection in networks and develop a mathematically principled approach that combines a network and its metadata to detect communities more accurately than can be done with either alone. Crucially, the method does not assume that the metadata are correlated with the communities we are trying to find. Instead, the method learns whether a correlation exists and correctly uses or ignores the metadata depending on whether they contain useful information. We demonstrate our method on synthetic networks with known structure and on real-world networks, large and small, drawn from social, biological and technological domains.

Balancing theory and practicality: engaging non-ethicists in ethical decision making related to radiological protection.

PubMed

Martinez, Nicole; Wueste, Daniel

2016-12-01

This paper discusses an approach for engaging radiation protection professionals in the ethical aspects of decision-making, with discussion on how this approach fits in with the existing system of radiological protection. It explores finding common ground between ethical and scientific theory, how to present relevant moral theory in accessible language, and provides a practical framework for dealing with real-world problems. Although establishing the ethical theory behind the system of radiological protection is an important ongoing endeavour within the community, it is equally important to communicate this information in a way that is useful to non-ethicists. Discussion of both ethical theory and a useful strategy for applying the theory makes ethics more accessible to those working in the field by providing them with the knowledge and confidence to apply ethical principles in decisions and practice.

Sensitivity of boundary-layer stability to base-state distortions at high Mach numbers

NASA Astrophysics Data System (ADS)

Park, Junho; Zaki, Tamer

2017-11-01

The stability diagram of high-speed boundary layers has been established by evaluating the linear instability modes of the similarity profile, over wide ranges of Reynolds and Mach numbers. In real flows, however, the base state can deviate from the similarity profile. Both the base velocity and temperature can be distorted, for example due to roughness and thermal wall treatments. We review the stability problem of high-speed boundary layer, and derive a new formulation of the sensitivity to base-state distortion using forward and adjoint parabolized stability equations. The new formulation provides qualitative and quantitative interpretations on change in growth rate due to modifications of mean-flow and mean-temperature in heated high-speed boundary layers, and establishes the foundation for future control strategies. This work has been funded by the Air Force Office of Scientific Research (AFOSR) Grant: FA9550-16-1-0103.

Trends in life science grid: from computing grid to knowledge grid.

PubMed

Konagaya, Akihiko

2006-12-18

Grid computing has great potential to become a standard cyberinfrastructure for life sciences which often require high-performance computing and large data handling which exceeds the computing capacity of a single institution. This survey reviews the latest grid technologies from the viewpoints of computing grid, data grid and knowledge grid. Computing grid technologies have been matured enough to solve high-throughput real-world life scientific problems. Data grid technologies are strong candidates for realizing "resourceome" for bioinformatics. Knowledge grids should be designed not only from sharing explicit knowledge on computers but also from community formulation for sharing tacit knowledge among a community. Extending the concept of grid from computing grid to knowledge grid, it is possible to make use of a grid as not only sharable computing resources, but also as time and place in which people work together, create knowledge, and share knowledge and experiences in a community.

Artificial immune system via Euclidean Distance Minimization for anomaly detection in bearings

NASA Astrophysics Data System (ADS)

Montechiesi, L.; Cocconcelli, M.; Rubini, R.

2016-08-01

In recent years new diagnostics methodologies have emerged, with particular interest into machinery operating in non-stationary conditions. In fact continuous speed changes and variable loads make non-trivial the spectrum analysis. A variable speed means a variable characteristic fault frequency related to the damage that is no more recognizable in the spectrum. To overcome this problem the scientific community proposed different approaches listed in two main categories: model-based approaches and expert systems. In this context the paper aims to present a simple expert system derived from the mechanisms of the immune system called Euclidean Distance Minimization, and its application in a real case of bearing faults recognition. The proposed method is a simplification of the original process, adapted by the class of Artificial Immune Systems, which proved to be useful and promising in different application fields. Comparative results are provided, with a complete explanation of the algorithm and its functioning aspects.

Publication bias and the canonization of false facts.

PubMed

Nissen, Silas Boye; Magidson, Tali; Gross, Kevin; Bergstrom, Carl T

2016-12-20

Science is facing a "replication crisis" in which many experimental findings cannot be replicated and are likely to be false. Does this imply that many scientific facts are false as well? To find out, we explore the process by which a claim becomes fact. We model the community's confidence in a claim as a Markov process with successive published results shifting the degree of belief. Publication bias in favor of positive findings influences the distribution of published results. We find that unless a sufficient fraction of negative results are published, false claims frequently can become canonized as fact. Data-dredging, p-hacking, and similar behaviors exacerbate the problem. Should negative results become easier to publish as a claim approaches acceptance as a fact, however, true and false claims would be more readily distinguished. To the degree that the model reflects the real world, there may be serious concerns about the validity of purported facts in some disciplines.

Trends in life science grid: from computing grid to knowledge grid

PubMed Central

Konagaya, Akihiko

2006-01-01

Background Grid computing has great potential to become a standard cyberinfrastructure for life sciences which often require high-performance computing and large data handling which exceeds the computing capacity of a single institution. Results This survey reviews the latest grid technologies from the viewpoints of computing grid, data grid and knowledge grid. Computing grid technologies have been matured enough to solve high-throughput real-world life scientific problems. Data grid technologies are strong candidates for realizing "resourceome" for bioinformatics. Knowledge grids should be designed not only from sharing explicit knowledge on computers but also from community formulation for sharing tacit knowledge among a community. Conclusion Extending the concept of grid from computing grid to knowledge grid, it is possible to make use of a grid as not only sharable computing resources, but also as time and place in which people work together, create knowledge, and share knowledge and experiences in a community. PMID:17254294

A Scientist's Guide to Achieving Broader Impacts through K-12 STEM Collaboration.

PubMed

Komoroske, Lisa M; Hameed, Sarah O; Szoboszlai, Amber I; Newsom, Amanda J; Williams, Susan L

2015-03-01

The National Science Foundation and other funding agencies are increasingly requiring broader impacts in grant applications to encourage US scientists to contribute to science education and society. Concurrently, national science education standards are using more inquiry-based learning (IBL) to increase students' capacity for abstract, conceptual thinking applicable to real-world problems. Scientists are particularly well suited to engage in broader impacts via science inquiry outreach, because scientific research is inherently an inquiry-based process. We provide a practical guide to help scientists overcome obstacles that inhibit their engagement in K-12 IBL outreach and to attain the accrued benefits. Strategies to overcome these challenges include scaling outreach projects to the time available, building collaborations in which scientists' research overlaps with curriculum, employing backward planning to target specific learning objectives, encouraging scientists to share their passion, as well as their expertise with students, and transforming institutional incentives to support scientists engaging in educational outreach.

Small and Robotic Telescopes in the Era of Massive Time-Domain Surveys

NASA Astrophysics Data System (ADS)

Bode, M. F.; Vestrand, W. T.

2012-04-01

We have entered an era in time-domain astronomy in which the detected rate of explosive transients and important ephemeral states in persistent objects threatens to overwhelm the world's supply of traditional follow-up telescopes. As new, comprehensive time-domain surveys become operational and wide-field multi-messenger observatories come on-line, that problem will become more acute. The goal of this workshop was to foster discussion about how autonomous robotic telescopes and small-aperture conventional telescopes can be employed in the most effective ways to help deal with the coming deluge of scientifically interesting follow-up opportunities. Discussion topics included the role of event brokers, automated event triage, the establishment of cooperative global telescope networks, and real-time coordination of observations at geographically diverse sites. It therefore included brief overviews of the current diverse landscape of telescopes and their interactions, and also considered planned and potential new facilities and operating models.

MatLab Script and Functional Programming

NASA Technical Reports Server (NTRS)

Shaykhian, Gholam Ali

2007-01-01

MatLab Script and Functional Programming: MatLab is one of the most widely used very high level programming languages for scientific and engineering computations. It is very user-friendly and needs practically no formal programming knowledge. Presented here are MatLab programming aspects and not just the MatLab commands for scientists and engineers who do not have formal programming training and also have no significant time to spare for learning programming to solve their real world problems. Specifically provided are programs for visualization. The MatLab seminar covers the functional and script programming aspect of MatLab language. Specific expectations are: a) Recognize MatLab commands, script and function. b) Create, and run a MatLab function. c) Read, recognize, and describe MatLab syntax. d) Recognize decisions, loops and matrix operators. e) Evaluate scope among multiple files, and multiple functions within a file. f) Declare, define and use scalar variables, vectors and matrices.

Spectral analysis of stellar light curves by means of neural networks

NASA Astrophysics Data System (ADS)

Tagliaferri, R.; Ciaramella, A.; Milano, L.; Barone, F.; Longo, G.

1999-06-01

Periodicity analysis of unevenly collected data is a relevant issue in several scientific fields. In astrophysics, for example, we have to find the fundamental period of light or radial velocity curves which are unevenly sampled observations of stars. Classical spectral analysis methods are unsatisfactory to solve the problem. In this paper we present a neural network based estimator system which performs well the frequency extraction in unevenly sampled signals. It uses an unsupervised Hebbian nonlinear neural algorithm to extract, from the interpolated signal, the principal components which, in turn, are used by the MUSIC frequency estimator algorithm to extract the frequencies. The neural network is tolerant to noise and works well also with few points in the sequence. We benchmark the system on synthetic and real signals with the Periodogram and with the Cramer-Rao lower bound. This work was been partially supported by IIASS, by MURST 40\\% and by the Italian Space Agency.

Boy-lovers and their influence on boys: distorted research and anecdotal observations.

PubMed

Brongersma, E

1990-01-01

A wide experience with boy-lovers has convinced the author that one can often learn more about them from reading some excellent novels than from so-called scientific studies. All too often research is unreliable because (1) it assumes pedosexual activity is a positive indicator of pedophilia; (2) no distinction is drawn between pseudo-pedophiles and real pedophiles; (3) no difference is recognized between boys and girls as partners; and (4) it is highly distorted by bias. Representative samples for research cannot be drawn from members of boy-love organizations. The incidence of violence is very low in pedophile contacts with boys. The influence can be strong in lasting relationships; it can be either wholesome or unwholesome. Within a relationship, sex is usually only a secondary element, although it can be important in sexual instruction and education. The impact of the law, the hostility of parents and the problem of the partners' inequality are discussed.

Computing Intrinsic Images.

DTIC Science & Technology

1986-08-01

most of the algorithms fail when applied to real images. (2) Usually the constraints from the geometry and the physics of the problem are not enough...large subset of real images), and so most of the algorithms fail when applied to real images. (2) Usually the constraints from the geometry and the...constraints from the geometry and the physics of the problem are not enough to guarantee uniqueness of the computed parameters. In this case, strong

Social and Ethical Dimension of the Natural Sciences, Complex Problems of the Age, Interdisciplinarity, and the Contribution of Education

ERIC Educational Resources Information Center

Develaki, Maria

2008-01-01

In view of the complex problems of this age, the question of the socio-ethical dimension of science acquires particular importance. We approach this matter from a philosophical and sociological standpoint, looking at such focal concerns as the motivation, purposes and methods of scientific activity, the ambivalence of scientific research and the…

JPRS Report, Science & Technology, USSR: Computers

DTIC Science & Technology

1987-07-15

Algebras and Multilevel Program Planning (G. Ye.. Tseytlin; PROGRAMMIROVANIYE, No 3, May-Jun 86) 36 Linguistic Facilities for Programming...scientific production associations which, jointly with the USSR Academy of Sciences, will solve basic and applied problems in the informatics industry...especially the establishment of complex , interdisciplinary problems and directions), the change in the style of the scientific thought of the epoch, and

Are Fourth and Fifth Grade Children Better Scientists through Metacognitive Learning?

ERIC Educational Resources Information Center

Dejonckheere, Peter; Van de Keere, Kristof; Tallir, Isabel

2011-01-01

Introduction: A way to find out how scientific thinking in children develops is to focus on the processes that are involved. As such, scientific thinking can be seen as a particular form of problem solving in which the problem solver selects a strategy from the space of possible experiments that can reveal the cause of an event. Notwithstanding…

A Science-Technology-Society Paradigm and Cross River State Secondary School Students' Scientific Literacy: Problem Solving and Decision Making

ERIC Educational Resources Information Center

Umoren, Grace

2007-01-01

The aim of this study was to investigate the effect of Science-Technology-Society (STS) curriculum on students' scientific literacy, problem solving and decision making. Four hundred and eighty (480) Senior Secondary two science and non-science students were randomly selected from intact classes in six secondary schools in Calabar Municipality of…

Problems of Scientific Research Activity in Institutions of Higher Learning

ERIC Educational Resources Information Center

Solodnikov, V. V.

2008-01-01

Under current conditions, the role played by scientific knowledge in all spheres of public life is rising substantially, and more and more attention is being paid to problems of the development and modernization of the Academy of Sciences. Not long ago, for example, there was wide response to the findings of a special study by S. Belanovskii on…

Incorporating Inquiry into Upper-Level Homework Assignments: The Mini-Journal

NASA Astrophysics Data System (ADS)

Whittington, A. G.; Speck, A. K.; Witzig, S. B.; Abell, S. K.

2009-12-01

The U.S. National Science Education Standards provide guidelines for teaching science through inquiry, where students actively develop their understanding of science by combining scientific knowledge with reasoning and thinking skills. Inquiry activities include reading scientific literature, generating hypotheses, designing and carrying out investigations, interpreting data, and formulating conclusions. Inquiry-based instruction emphasizes questions, evidence, and explanation, the essential features of inquiry. As part of an NSF-funded project, “CUES: Connecting Undergraduates to the Enterprise of Science,” new inquiry-based homework materials were developed for two upper-level classes at the University of Missouri: Geochemistry (required for Geology majors), and Solar System Science (open to seniors and graduate students, co-taught and cross-listed between Geology and Physics & Astronomy). We engage students in inquiry-based learning by presenting homework exercises as “mini-journal” articles that follow the format of a scientific journal article, including a title, authors, abstract, introduction, methods, results, discussion and citations to peer-reviewed literature. The mini-journal provides a scaffold and serves as a springboard for students to develop and carry out their own follow-up investigation. They then present their findings in the form of their own mini-journal. Mini-journals replace traditional homework problem sets with a format that more directly reflects and encourages scientific practice. Students are engaged in inquiry-based homework which encompass doing, thinking, and communicating, while the minijournal allows the instructor to contain lines of inquiry within the limits posed by available resources. In the examples we present, research is conducted via spreadsheet modeling, where the students develop their own spreadsheets. The key differences between the old and new formats include (i) the active participation of the students in defining the problem that they will pursue, (ii) the open-ended nature of the inquiry, such that students need to recognize when they have enough information to answer their question, (iii) presentation of results in graphical and tabular formats, and (iv) a written discussion of their findings. We present both the rationale for and concept of using mini-journal homeworks, and provide specific examples we are currently employing in classes. In addition, we explore the challenges (real and perceived) and successes associated with implementing such a technique, and examine student feedback comparing mini-journal and traditional homework formats from the same classes.

Real science at the petascale.

PubMed

Saksena, Radhika S; Boghosian, Bruce; Fazendeiro, Luis; Kenway, Owain A; Manos, Steven; Mazzeo, Marco D; Sadiq, S Kashif; Suter, James L; Wright, David; Coveney, Peter V

2009-06-28

We describe computational science research that uses petascale resources to achieve scientific results at unprecedented scales and resolution. The applications span a wide range of domains, from investigation of fundamental problems in turbulence through computational materials science research to biomedical applications at the forefront of HIV/AIDS research and cerebrovascular haemodynamics. This work was mainly performed on the US TeraGrid 'petascale' resource, Ranger, at Texas Advanced Computing Center, in the first half of 2008 when it was the largest computing system in the world available for open scientific research. We have sought to use this petascale supercomputer optimally across application domains and scales, exploiting the excellent parallel scaling performance found on up to at least 32 768 cores for certain of our codes in the so-called 'capability computing' category as well as high-throughput intermediate-scale jobs for ensemble simulations in the 32-512 core range. Furthermore, this activity provides evidence that conventional parallel programming with MPI should be successful at the petascale in the short to medium term. We also report on the parallel performance of some of our codes on up to 65 636 cores on the IBM Blue Gene/P system at the Argonne Leadership Computing Facility, which has recently been named the fastest supercomputer in the world for open science.

Cell lines authentication and mycoplasma detection as minimun quality control of cell lines in biobanking.

PubMed

Corral-Vázquez, C; Aguilar-Quesada, R; Catalina, P; Lucena-Aguilar, G; Ligero, G; Miranda, B; Carrillo-Ávila, J A

2017-06-01

Establishment of continuous cell lines from human normal and tumor tissues is an extended and useful methodology for molecular characterization of cancer pathophysiology and drug development in research laboratories. The exchange of these cell lines between different labs is a common practice that can compromise assays reliability due to contamination with microorganism such as mycoplasma or cells from different flasks that compromise experiment reproducibility and reliability. Great proportions of cell lines are contaminated with mycoplasma and/or are replaced by cells derived for a different origin during processing or distribution process. The scientific community has underestimated this problem and thousand of research experiment has been done with cell lines that are incorrectly identified and wrong scientific conclusions have been published. Regular contamination and authentication tests are necessary in order to avoid negative consequences of widespread misidentified and contaminated cell lines. Cell banks generate, store and distribute cell lines for research, being mandatory a consistent and continuous quality program. Methods implementation for guaranteeing both, the absence of mycoplasma and authentication in the supplied cell lines, has been performed in the Andalusian Health System Biobank. Specifically, precise results were obtained using real time PCR detection for mycoplasma and 10 STRs identification by capillary electrophoresis for cell line authentication. Advantages and disadvantages of these protocols are discussed.

HPC on Competitive Cloud Resources

NASA Astrophysics Data System (ADS)

Bientinesi, Paolo; Iakymchuk, Roman; Napper, Jeff

Computing as a utility has reached the mainstream. Scientists can now easily rent time on large commercial clusters that can be expanded and reduced on-demand in real-time. However, current commercial cloud computing performance falls short of systems specifically designed for scientific applications. Scientific computing needs are quite different from those of the web applications that have been the focus of cloud computing vendors. In this chapter we demonstrate through empirical evaluation the computational efficiency of high-performance numerical applications in a commercial cloud environment when resources are shared under high contention. Using the Linpack benchmark as a case study, we show that cache utilization becomes highly unpredictable and similarly affects computation time. For some problems, not only is it more efficient to underutilize resources, but the solution can be reached sooner in realtime (wall-time). We also show that the smallest, cheapest (64-bit) instance on the studied environment is the best for price to performance ration. In light of the high-contention we witness, we believe that alternative definitions of efficiency for commercial cloud environments should be introduced where strong performance guarantees do not exist. Concepts like average, expected performance and execution time, expected cost to completion, and variance measures--traditionally ignored in the high-performance computing context--now should complement or even substitute the standard definitions of efficiency.

Wyrm: A Brain-Computer Interface Toolbox in Python.

PubMed

Venthur, Bastian; Dähne, Sven; Höhne, Johannes; Heller, Hendrik; Blankertz, Benjamin

2015-10-01

In the last years Python has gained more and more traction in the scientific community. Projects like NumPy, SciPy, and Matplotlib have created a strong foundation for scientific computing in Python and machine learning packages like scikit-learn or packages for data analysis like Pandas are building on top of it. In this paper we present Wyrm ( https://github.com/bbci/wyrm ), an open source BCI toolbox in Python. Wyrm is applicable to a broad range of neuroscientific problems. It can be used as a toolbox for analysis and visualization of neurophysiological data and in real-time settings, like an online BCI application. In order to prevent software defects, Wyrm makes extensive use of unit testing. We will explain the key aspects of Wyrm's software architecture and design decisions for its data structure, and demonstrate and validate the use of our toolbox by presenting our approach to the classification tasks of two different data sets from the BCI Competition III. Furthermore, we will give a brief analysis of the data sets using our toolbox, and demonstrate how we implemented an online experiment using Wyrm. With Wyrm we add the final piece to our ongoing effort to provide a complete, free and open source BCI system in Python.

Communicating Climate Change Science: Conundrum Or Creative Challenge?

NASA Astrophysics Data System (ADS)

Casey, A. G.; Webster, K.; Unger, H. M.

2004-12-01

"Climate change" may seem like a mild or politically motivated name for what most lay people know as "global warming." But the term is correct for what is happening to our planet, and it is an issue that scientific research organizations must address. Regardless of whether public outreach is part of an organization's mission, getting data to the scientific community usually is. Scientists are being asked the questions "Is global warming real? Is it just a scare tactic by environmentalists? What does it have to do with me?" So all research organizations must step up to help answer these questions. As National Geographic has done so well in its September 2004 issue "Global Warning," science outreach must not be afraid to deliver clear information and let the reader decide. Readers from any educational background can be made aware of the fact that many climate indicators are changing, even things in their own regions. One of the challenges is the sheer amount of information available. A creative way to address this problem is to present material that relates to peoples' local regions. Another challenge is that providing this alarming information can scare people. One way to deal with this issue is to present ways that people can participate in slowing the human impact on our planet.

The Young Engineers and Scientists (YES) mentorship program

NASA Astrophysics Data System (ADS)

Boice, D. C.; Clarac, T.

The Young Engineers and Scientists (YES) Program is a community partnership between Southwest Research Institute (SwRI), and local high schools in San Antonio, Texas (USA). It provides talented high school juniors and seniors a bridge between classroom instruction and real-world, research experiences in physical sciences (including space science and astronomy) and engineering. YES consists of two parts: 1) an intensive three-week summer workshop held at SwRI where students experience the research environment first-hand; develop skills and acquire tools for solving scientific problems, attend mini-courses and seminars on electronics, computers and the Internet, careers, science ethics, and other topics; and select individual research projects to be completed during the academic year; and 2) a collegial mentorship where students complete individual research projects under the guidance of their mentors during the academic year and earn honors credit. At the end of the school year, students publicly present and display their work, acknowledging their accomplishments and spreading career awareness to other students and teachers. YES has been highly successful during the past 11 years. All YES graduates have entered college, several have worked for SwRI, and three scientific publications have resulted. Student evaluations indicate the effectiveness of YES on their academic preparation and choice of college majors.

The Young Engineers and Scientists Mentorship Program

NASA Astrophysics Data System (ADS)

Boice, D. C.; Lin, C.; Clarac, T.

2004-12-01

The Young Engineers and Scientists (YES) Program is a community partnership between Southwest Research Institute (SwRI), and local high schools in San Antonio, Texas (USA). It provides talented high school juniors and seniors a bridge between classroom instruction and real-world, research experiences in physical sciences (including space science and astronomy) and engineering. YES consists of two parts: 1) an intensive three-week summer workshop held at SwRI where students experience the research environment first-hand; develop skills and acquire tools for solving scientific problems, attend mini-courses and seminars on electronics, computers and the Internet, careers, science ethics, and other topics; and select individual research projects to be completed during the academic year; and 2) a collegial mentorship where students complete individual research projects under the guidance of their mentors during the academic year and earn honors credit. At the end of the school year, students publicly present and display their work, acknowledging their accomplishments and spreading career awareness to other students and teachers. YES has been highly successful during the past 12 years. All YES graduates have entered college, several have worked for SwRI, and three scientific publications have resulted. Student evaluations indicate the effectiveness of YES on their academic preparation and choice of college majors. We acknowledge funding from local charitable foundations and the NASA E/PO program.

Public Outreach at RAL: Engaging the Next Generation of Scientists and Engineers

NASA Astrophysics Data System (ADS)

Corbett, G.; Ryall, G.; Palmer, S.; Collier, I. P.; Adams, J.; Appleyard, R.

2015-12-01

The Rutherford Appleton Laboratory (RAL) is part of the UK's Science and Technology Facilities Council (STFC). As part of the Royal Charter that established the STFC, the organisation is required to generate public awareness and encourage public engagement and dialogue in relation to the science undertaken. The staff at RAL firmly support this activity as it is important to encourage the next generation of students to consider studying Science, Technology, Engineering, and Mathematics (STEM) subjects, providing the UK with a highly skilled work-force in the future. To this end, the STFC undertakes a variety of outreach activities. This paper will describe the outreach activities undertaken by RAL, particularly focussing on those of the Scientific Computing Department (SCD). These activities include: an Arduino based activity day for 12-14 year-olds to celebrate Ada Lovelace day; running a centre as part of the Young Rewired State - encouraging 11-18 year-olds to create web applications with open data; sponsoring a team in the Engineering Education Scheme - supporting a small team of 16-17 year-olds to solve a real world engineering problem; as well as the more traditional tours of facilities. These activities could serve as an example for other sites involved in scientific computing around the globe.

Making Quantitative Genetics Relevant: Effectiveness of a Laboratory Investigation that Links Scientific Research, Commercial Applications, and Legal Issues

ERIC Educational Resources Information Center

Rutledge, Michael L.; Mathis, Philip M.; Seipelt, Rebecca L.

2005-01-01

As students apply their knowledge of scientific concepts and of science as a method of inquiry, learning becomes relevant. This laboratory exercise is designed to foster students' understanding of the genetics of quantitative traits and of the nature of science as a method of inquiry by engaging them in a real-world business scenario. During the…

The Case of the Ivory-Billed Woodpecker: The Scientific Process and How It Relates to Everyday Life

ERIC Educational Resources Information Center

Stanger-Hall, Kathrin; Merriam, Jennifer; Greuling, Ruth Ann

2007-01-01

In this case study, based on the reported rediscovery of the Ivory-billed Woodpecker in April 2005, students examine a real-world example of the scientific process and explore the practical implications of their conclusions. The case tells the story of Brad Murky, a student and research assistant who must decide whether the available evidence is…

Exploring English Language Learners (ELL) experiences with scientific language and inquiry within a real life context

NASA Astrophysics Data System (ADS)

Algee, Lisa M.

English Language Learners (ELL) are often at a distinct disadvantage from receiving authentic science learning opportunites. This study explored English Language Learners (ELL) learning experiences with scientific language and inquiry within a real life context. This research was theoretically informed by sociocultural theory and literature on student learning and science teaching for ELL. A qualitative, case study was used to explore students' learning experiences. Data from multiple sources was collected: student interviews, science letters, an assessment in another context, field-notes, student presentations, inquiry assessment, instructional group conversations, parent interviews, parent letters, parent homework, teacher-researcher evaluation, teacher-researcher reflective journal, and student ratings of learning activities. These data sources informed the following research questions: (1) Does participation in an out-of-school contextualized inquiry science project increase ELL use of scientific language? (2) Does participation in an out-of-school contextualized inquiry science project increase ELL understanding of scientific inquiry and their motivation to learn? (3) What are parents' funds of knowledge about the local ecology and does this inform students' experiences in the science project? All data sources concerning students were analyzed for similar patterns and trends and triangulation was sought through the use of these data sources. The remaining data sources concerning the teacher-researcher were used to inform and assess whether the pedagogical and research practices were in alignment with the proposed theoretical framework. Data sources concerning parental participation accessed funds of knowledge, which informed the curriculum in order to create continuity and connections between home and school. To ensure accuracy in the researchers' interpretations of student and parent responses during interviews, member checking was employed. The findings suggest that participation in an out-of-school contextualized inquiry science project increased ELL use of scientific language and understanding of scientific inquiry and motivation to learn. In addition, parent' funds of knowledge informed students' experiences in the science project. These findings suggest that the learning and teaching practices and the real life experiential learning contexts served as an effective means for increasing students' understandings and motivation to learn.

Revisiting the mitogenetic effect of ultra-weak photon emission

PubMed Central

Volodyaev, Ilya; Beloussov, Lev V.

2015-01-01

This paper reviews the 90 years long controversial history of the so-called “mitogenetic radiation,” the first case of non-chemical distant interactions, reported by Gurwitsch (1923). It was soon described as ultraweak UV, emitted by a number of biological systems, and stimulating mitosis in “competent” (in this sense) cells. In the following 20 years this phenomenon attracted enormous interest of the scientific community, and gave rise to more than 700 publications around the world. Yet, this wave of research vanished after several ostensibly disproving works in late 1930-s, and was not resumed later, regardless of quite serious grounds for that. The authors discuss separately two aspects of the problem: (1) do living organisms emit ultraweak radiation in the UV range (irrespective of whether it has any biological role), and (2) are there any real effects of this ultraweak photon emission (UPE) upon cell division and/or other biological functions? Analysis of the available data permits to conclude, that UV fraction of UPE should be regarded real, while its biological effects are difficult to reproduce. This causes a paradox. A number of presently known qualities of UPE were initially discovered (predicted?) by the “early workers” on the basis of biological effects. Yet the qualities they discovered were proved later (the UV component of UPE, the sources of UPE among biological systems, etc…), while the biological effect they used for UPE “detection” remains questionable. Importance of this area for basic biology and medicine, and potential usefulness of UPE as a non-invasive research method, invite scientists to attack this problem again, applying powerful research facilities of modern science. Yet, because of complexity and uncertainty of the problem, further progress in this area demands comprehensive examination of both positive and negative works, with particular attention to their methodical details. PMID:26441668

The QuarkNet Collaboration: How "Doing Science" is Changing Science Education

NASA Astrophysics Data System (ADS)

Whelan, K.

2004-12-01

QuarkNet is a national initiative to involve high-school teachers and their students in real scientific research. Students and teachers assist in seeking to resolve some of the mysteries about the structure of matter and the fundamental forces of nature It is supported by the Department and Energy and the National Science Foundation. This long-term project, beginning its sixth year of implementation, has provided a successful framework that might be adapted to similar endeavors. It is an international collaboration of universities, high schools and research centers including CERN in Switzerland, and Fermilab, LBNL, and SLAC in the United States. The goals of this program include the involvement of students and teachers in authentic scientific research projects. By actually "doing science", they gain first hand knowledge of the research procedure and the inquiry method of learning. Teachers increase their content knowledge and enhance their teaching skills by solving scientific research problems through the inquiry method of learning. Students involved in this program learn fundamental physics and research-based skills through the analysis of real data. Particle physicists also benefit by being exposed to some of the current issues in science education. Through an understanding of National Science Education Standards, physicist-mentors are made aware of the needs of local science education and gain a better grasp of age appropriate content. The QuarkNet program was developed while consulting with research physicists throughout the United States. There are three main program areas that have been established-teacher research experiences, teacher development programs, and an online resource that makes available numerous inquiry-based activities. Select teachers are given eight-week appointments allowing them to gain first hand experience as a part of a scientific research team. Those teachers become lead teachers during the following summer and, along with physicist mentors, work with other teachers on a short research scenario or activity over a period of several weeks. The scenarios can then be adapted for classroom use at virtually any level. The QuarkNet website provides a wide variety of resources for teacher and student use including- samples of experimental data for use in inquiry based activities, venues for communication and collaboration between students, teachers and physicists, student publication areas where ideas can be exchanged, and numerous other resources, activities, and simulations. Currently, the QuarkNet program involves over 50 research institutions and hundreds of teachers. This year, we have also added a student research component at several of the centers. This component will be expanded in the coming years so that many more students will have the opportunity to become an active part and contributing member of a scientific research team.

The practice of problem-based investigative teaching reform in semiconductor physics course

NASA Astrophysics Data System (ADS)

Chen, Aiping; Wu, Gaojian; Gu, Dawei; Jiang, Hongying; Wang, Lei

2017-08-01

Semiconductor physics is an important basic course for the students of the majors of applied physics, optoelectronics, and microelectronics. The authors have been carrying out investigative-teaching reform in semiconductor physics teaching. Firstly, the teaching content was re-structured based on scientific problems. Secondly, the students were placed in groups to discuss different scientific problems and to present a few short science-reports. Thirdly, micro-lesson videos were produced for the students to study and analyze before or after class. With comparative analysis, we find out that the semiconductor-physics curriculum content was greatly enriched. In addition, the students' learning motivation and scientific thinking ability increased, and their innovation ability was improved. Overall, the teaching quality of the semiconductor physics course could be significantly improved.

Real Time Revisited

NASA Astrophysics Data System (ADS)

Allen, Phillip G.

1985-12-01

The call for abolishing photo reconnaissance in favor of real time is once more being heard. Ten years ago the same cries were being heard with the introduction of the Charge Coupled Device (CCD). The real time system problems that existed then and stopped real time proliferation have not been solved. The lack of an organized program by either DoD or industry has hampered any efforts to solve the problems, and as such, very little has happened in real time in the last ten years. Real time is not a replacement for photo, just as photo is not a replacement for infra-red or radar. Operational real time sensors can be designed only after their role has been defined and improvements made to the weak links in the system. Plodding ahead on a real time reconnaissance suite without benefit of evaluation of utility will allow this same paper to be used ten years from now.

Connecting real-time data to algorithms and databases: EarthCube's Cloud-Hosted Real-time Data Services for the Geosciences (CHORDS)

NASA Astrophysics Data System (ADS)

Daniels, M. D.; Graves, S. J.; Kerkez, B.; Chandrasekar, V.; Vernon, F.; Martin, C. L.; Maskey, M.; Keiser, K.; Dye, M. J.

2015-12-01

The Cloud-Hosted Real-time Data Services for the Geosciences (CHORDS) project was funded under the National Science Foundation's EarthCube initiative. CHORDS addresses the ever-increasing importance of real-time scientific data in the geosciences, particularly in mission critical scenarios, where informed decisions must be made rapidly. Access to constant streams of real-time data also allow many new transient phenomena in space-time to be observed, however, much of these streaming data are either completely inaccessible or only available to proprietary in-house tools or displays. Small research teams do not have the resources to develop tools for the broad dissemination of their unique real-time data and require an easy to use, scalable, cloud-based solution to facilitate this access. CHORDS will make these diverse streams of real-time data available to the broader geosciences community. This talk will highlight a recently developed CHORDS portal tools and processing systems which address some of the gaps in handling real-time data, particularly in the provisioning of data from the "long-tail" scientific community through a simple interface that is deployed in the cloud, is scalable and is able to be customized by research teams. A running portal, with operational data feeds from across the nation, will be presented. The processing within the CHORDS system will expose these real-time streams via standard services from the Open Geospatial Consortium (OGC) in a way that is simple and transparent to the data provider, while maximizing the usage of these investments. The ingestion of high velocity, high volume and diverse data has allowed the project to explore a NoSQL database implementation. Broad use of the CHORDS framework by geoscientists will help to facilitate adaptive experimentation, model assimilation and real-time hypothesis testing.

Shifting Paradigms of Research in Medical Education.

ERIC Educational Resources Information Center

Irby, David M.; Edwards, Janine C. Ed.

1990-01-01

Medical educators debate which models of scientific research should be applied to problems in academic medicine. The reigning model was derived from the first scientific revolution of Newtonian physics. The emerging model is grounded in the second scientific revolution of Einstein's quantum physics. (Author/MSE)

Mental models as indicators of scientific thinking

NASA Astrophysics Data System (ADS)

Derosa, Donald Anthony

One goal of science education reform is student attainment of scientific literacy. Therefore, it is imperative for science educators to identify its salient elements. A dimension of scientific literacy that warrants careful consideration is scientific thinking and effective ways to foster scientific thinking among students. This study examined the use of mental models as evidence of scientific thinking in the context of two instructional approaches, transmissional and constructivist. Types of mental models, frequency of explanative information, and scores on problem solving transfer questions were measured and compared among subjects in each instructional context. Methods. Subjects consisted of sophomore biology students enrolled in general biology courses at three public high schools. The Group Assessment of Logical Thinking instrument was used to identify two equivalent groups with an N of 65. Each group was taught the molecular basis of sickle cell anemia and the principles of hemoglobin gel electrophoresis using one of the two instructional approaches at their schools during five instructional periods over the course of one week. Laboratory equipment and materials were provided by Boston University School of Medicine's MobileLab program. Following the instructional periods, each subject was asked to think aloud while responding to four problem solving transfer questions. Each response was audiotaped and videotaped. The interviews were transcribed and coded to identify types of mental models and explanative information. Subjects' answers to the problem solving transfer questions were scored using a rubric. Results. Students taught in a constructivist context tended to use more complete mental models than students taught in a transmissional context. Fifty-two percent of constructivist subjects and forty-four percent of transmissional subjects demonstrated evidence of relevant mental models. Overall fifty-two percent of the subjects expressed naive mental models with respect to content. There was no significant difference in the frequency of explanative information expressed by either group. Both groups scored poorly on the problem solving transfer problems. The average score for the constructivist group was 30% and the average score for the transmissional group was 34%. A significant correlation was found between the frequency of explanative information and scores on the problem-solving transfer questions, r = 0.766. Conclusion. The subjects exhibited difficulty in formulating and applying mental models to effectively answer problem solving transfer questions regardless of the context in which the subjects were taught. The results call into question the extent to which students have been taught to use mental models and more generally, the extent to which their prior academic experience has encouraged them to develop an awareness of scientific thinking skills. Implications of the study suggest further consideration of mental modeling in science education reform and the deliberate integration of an awareness of scientific thinking skills in the development of science curricula.

An Investigation of Problem Solving Approaches, Strategies, and Models Used by the 7th and 8th Grade Students When Solving Real-World Problems

ERIC Educational Resources Information Center

Bayazit, Ibrahim

2013-01-01

This study scrutinises approaches and thinking processes displayed by the elementary school students when solving real-world problems. It employed a qualitative inquiry to produce rich and realistic data about the case at hand. The research sample included 116 students. The data were obtained from written exam and semistructured interviews, and…

The maximum work principle regarded as a consequence of an optimization problem based on mechanical virtual power principle and application of constructal theory

NASA Astrophysics Data System (ADS)

Gavrus, Adinel

2017-10-01

This scientific paper proposes to prove that the maximum work principle used by theory of continuum media plasticity can be regarded as a consequence of an optimization problem based on constructal theory (prof. Adrian BEJAN). It is known that the thermodynamics define the conservation of energy and the irreversibility of natural systems evolution. From mechanical point of view the first one permits to define the momentum balance equation, respectively the virtual power principle while the second one explains the tendency of all currents to flow from high to low values. According to the constructal law all finite-size system searches to evolve in such configurations that flow more and more easily over time distributing the imperfections in order to maximize entropy and to minimize the losses or dissipations. During a material forming process the application of constructal theory principles leads to the conclusion that under external loads the material flow is that which all dissipated mechanical power (deformation and friction) become minimal. On a mechanical point of view it is then possible to formulate the real state of all mechanical variables (stress, strain, strain rate) as those that minimize the total dissipated power. So between all other virtual non-equilibrium states, the real state minimizes the total dissipated power. It can be then obtained a variational minimization problem and this paper proof in a mathematical sense that starting from this formulation can be finding in a more general form the maximum work principle together with an equivalent form for the friction term. An application in the case of a plane compression of a plastic material shows the feasibility of the proposed minimization problem formulation to find analytical solution for both cases: one without friction influence and a second which take into account Tresca friction law. To valid the proposed formulation, a comparison with a classical analytical analysis based on slices, upper/lower bound methods and numerical Finite Element simulation is also presented.

1993 Gordon Bell Prize Winners

NASA Technical Reports Server (NTRS)

Karp, Alan H.; Simon, Horst; Heller, Don; Cooper, D. M. (Technical Monitor)

1994-01-01

The Gordon Bell Prize recognizes significant achievements in the application of supercomputers to scientific and engineering problems. In 1993, finalists were named for work in three categories: (1) Performance, which recognizes those who solved a real problem in the quickest elapsed time. (2) Price/performance, which encourages the development of cost-effective supercomputing. (3) Compiler-generated speedup, which measures how well compiler writers are facilitating the programming of parallel processors. The winners were announced November 17 at the Supercomputing 93 conference in Portland, Oregon. Gordon Bell, an independent consultant in Los Altos, California, is sponsoring $2,000 in prizes each year for 10 years to promote practical parallel processing research. This is the sixth year of the prize, which Computer administers. Something unprecedented in Gordon Bell Prize competition occurred this year: A computer manufacturer was singled out for recognition. Nine entries reporting results obtained on the Cray C90 were received, seven of the submissions orchestrated by Cray Research. Although none of these entries showed sufficiently high performance to win outright, the judges were impressed by the breadth of applications that ran well on this machine, all nine running at more than a third of the peak performance of the machine.

Probabilistic numerics and uncertainty in computations

PubMed Central

Hennig, Philipp; Osborne, Michael A.; Girolami, Mark

2015-01-01

We deliver a call to arms for probabilistic numerical methods: algorithms for numerical tasks, including linear algebra, integration, optimization and solving differential equations, that return uncertainties in their calculations. Such uncertainties, arising from the loss of precision induced by numerical calculation with limited time or hardware, are important for much contemporary science and industry. Within applications such as climate science and astrophysics, the need to make decisions on the basis of computations with large and complex data have led to a renewed focus on the management of numerical uncertainty. We describe how several seminal classic numerical methods can be interpreted naturally as probabilistic inference. We then show that the probabilistic view suggests new algorithms that can flexibly be adapted to suit application specifics, while delivering improved empirical performance. We provide concrete illustrations of the benefits of probabilistic numeric algorithms on real scientific problems from astrometry and astronomical imaging, while highlighting open problems with these new algorithms. Finally, we describe how probabilistic numerical methods provide a coherent framework for identifying the uncertainty in calculations performed with a combination of numerical algorithms (e.g. both numerical optimizers and differential equation solvers), potentially allowing the diagnosis (and control) of error sources in computations. PMID:26346321

Probabilistic numerics and uncertainty in computations.

PubMed

Hennig, Philipp; Osborne, Michael A; Girolami, Mark

2015-07-08

We deliver a call to arms for probabilistic numerical methods : algorithms for numerical tasks, including linear algebra, integration, optimization and solving differential equations, that return uncertainties in their calculations. Such uncertainties, arising from the loss of precision induced by numerical calculation with limited time or hardware, are important for much contemporary science and industry. Within applications such as climate science and astrophysics, the need to make decisions on the basis of computations with large and complex data have led to a renewed focus on the management of numerical uncertainty. We describe how several seminal classic numerical methods can be interpreted naturally as probabilistic inference. We then show that the probabilistic view suggests new algorithms that can flexibly be adapted to suit application specifics, while delivering improved empirical performance. We provide concrete illustrations of the benefits of probabilistic numeric algorithms on real scientific problems from astrometry and astronomical imaging, while highlighting open problems with these new algorithms. Finally, we describe how probabilistic numerical methods provide a coherent framework for identifying the uncertainty in calculations performed with a combination of numerical algorithms (e.g. both numerical optimizers and differential equation solvers), potentially allowing the diagnosis (and control) of error sources in computations.

Satellite altimetric measurements of the ocean. Report of the TOPEX Science Working Group

NASA Technical Reports Server (NTRS)

Stewart, R.

1981-01-01

The scientific usefulness of satellite measurements of ocean topography for the study of ocean circulation was investigated. The following topics were studied: (1) scientific problems which use altimetric measurements of ocean topography; (2) the extent in which in situ measurements are complementary or required; (3) accuracy, precision, and spatial and temporal resolutions which are required of the topographic measurements; (4) errors associated with measurement techniques; and (5) influences of these errors on scientific problems. An operational system for measuring ocean topography, was defined and the cost of conducting such a topographic experiment, was estimated.

[Cooperation between professional association and scientific society].

PubMed

Schroeder, A; Hakenberg, O W

2013-08-01

Developments in health economics, urological sciences and social as well as demographic conditions pose numerous problems for the field of urology. In order to solve these problems a close cooperation between the professional association and the scientific society are needed which at first sight seem to have very different interests. The increasing complexity and interdependency in all areas of the healthcare system make a simple separation of interests between the scientific society and the professional association impossible. The Professional Association of German Urologists and the German Society of Urology have acknowledged this situation for many years and have intensified their close collaboration.

Endangered Mangroves in Segara Anakan, Indonesia: Effective and Failed Problem-Solving Policy Advice.

PubMed

Dharmawan, Budi; Böcher, Michael; Krott, Max

2017-09-01

The success of scientific knowledge transfer depends on if the decision maker can transform the scientific advice into a policy that can be accepted by all involved actors. We use a science-policy interactions model called research-integration-utilization to observe the process of scientific knowledge transfer in the case of endangered mangroves in Segara Anakan, Indonesia. Scientific knowledge is produced within the scientific system (research), science-based solutions to problems are practically utilized by political actors (utilization), and important links between research and utilization must be made (integration). We looked for empirical evidence to test hypotheses about the research-integration-utilization model based on document analysis and expert interviews. Our study finds that the failures in knowledge transfer are caused by the inappropriate use of scientific findings. The district government is expected by presidential decree to only used scientifically sound recommendations as a prerequisite for designing the regulation. However, the district government prefers to implement their own solutions because they believe that they understand the solutions better than the researcher. In the process of integration, the researcher cannot be involved, since the selection of scientific recommendations here fully depends on the interests of the district government as the powerful ally.

Endangered Mangroves in Segara Anakan, Indonesia: Effective and Failed Problem-Solving Policy Advice

NASA Astrophysics Data System (ADS)

Dharmawan, Budi; Böcher, Michael; Krott, Max

2017-09-01

The success of scientific knowledge transfer depends on if the decision maker can transform the scientific advice into a policy that can be accepted by all involved actors. We use a science-policy interactions model called research-integration-utilization to observe the process of scientific knowledge transfer in the case of endangered mangroves in Segara Anakan, Indonesia. Scientific knowledge is produced within the scientific system (research), science-based solutions to problems are practically utilized by political actors (utilization), and important links between research and utilization must be made (integration). We looked for empirical evidence to test hypotheses about the research-integration-utilization model based on document analysis and expert interviews. Our study finds that the failures in knowledge transfer are caused by the inappropriate use of scientific findings. The district government is expected by presidential decree to only used scientifically sound recommendations as a prerequisite for designing the regulation. However, the district government prefers to implement their own solutions because they believe that they understand the solutions better than the researcher. In the process of integration, the researcher cannot be involved, since the selection of scientific recommendations here fully depends on the interests of the district government as the powerful ally.

The use of multiple tools for teaching medical biochemistry.

PubMed

Sé, Alexandre B; Passos, Renato M; Ono, André H; Hermes-Lima, Marcelo

2008-03-01

In this work, we describe the use of several strategies employing the philosophies of active learning and problem-based learning (PBL) that may be used to improve the teaching of metabolic biochemistry to medical and nutritional undergraduate students. The main activities are as follows: 1) a seminar/poster system in a mini-congress format (using topics of applied biochemistry); 2) a true/false applied biochemistry exam (written by peer tutors); 3) a 9-h exam on metabolism (based in real publications); 4) the Advanced Biochemistry course (directed to peer tutors, where students learn how to read and criticize real medical papers); 5) experiments about nutrition and metabolism, using students as volunteers, and about free radicals (real science for students); 6) the BioBio blog (taking advantage of the "web age," this enhances out of class exchanges of information between the professor, students, and peer tutors); 7) student lectures on public health issues and metabolic disorders directed to the community and lay people; and 8) the BioBio quiz show. The main objective of these activities is to provide students with a more practical and interesting approach to biochemistry, such as the application of theoretical knowledge to real situations (diseases, experiments, media information, and scientific discoveries). In addition, we emphasize the importance of peer tutor activities for optimized learning of both students and peer tutors, the importance of a closer interaction between students and teaching staff, and the necessity to initiate students precociously in two broad fields of medical activity: "real" basic science and contact with the public (also helping students--future doctors and nutritionists--to be able to communicate with lay people). Most activities were evaluated by the students through written questionnaires and informal conversations, along various semesters, indicating good acceptance and approval of these methods. Good student scores in the biochemistry exams and seminars indicated that these activities are also working as valid educational tools.

[Scientific reductionism and social control of mind. Part II].

PubMed

Viniegra Velázquez, Leonardo

In the second part of this essay, the progressive subordination of scientific endeavor and knowledge of business and profit is pointed out. For instance, the way facts are prioritized over concepts and ideas in scientific knowledge can translate into technological innovation, central to enterprise competitiveness and key to social mechanisms of control (military, cybernetic, ideological). Overcoming the scientific reductionism approach indicates recognizing the need to define progress in another way, one that infuses scientific knowledge with real liberating and inquisitive power. Power is essential in the search for a more collaborative, inclusive and pluralistic society where respect for human dignity and care for the ecosystem that we live in are prioritized. Copyright © 2014 Hospital Infantil de México Federico Gómez. Publicado por Masson Doyma México S.A. All rights reserved.

A masterclass to teach public health professionals to conduct practice-based research to promote evidence-based practice: a case study from The Netherlands.

PubMed

Jansen, Maria W J; Hoeijmakers, Marjan

2013-01-01

Public health professionals have a pivotal position in efforts to obtain more practice-based evidence about what people need and what works in real circumstances. Close collaboration with researchers should enable public health professionals to design and conduct research in practical settings to address today's complex public health problems and increase the external validity of results. This requires expanding the research competencies of public health professionals. We developed and implemented a masterclass for public health professionals, modeled on an existing scientific training course for general practitioners and rehabilitation physicians. The masterclass was evaluated using a multiple method design, involving quantitative and qualitative methods. Evaluation took place during, at the end of, and 9 months after the masterclass. Twenty-one candidates (mean age, 41 y) started the program, 66% of whom completed it. Teaching materials, lectures, organization, and facilities were favorably evaluated. At the end of the masterclass, participants were able to design and implement a research proposal in their daily work setting, write a draft article, and critically appraise scientific research for practice and policy purposes. Participants had become more confident about their research competence. Management support from their employer proved crucial. Results obtained with the different methods were consistent. The masterclass appeared to be an effective instrument to increase the practice-based research skills of public health professionals, provided the research is implemented in a supportive organization with management backing and supervision by senior university researchers. We recommend using masterclasses to contribute to the improvement of practice-based evidence for projects addressing current and future public health problems.

Are the Competencies of Science Teachers and the Scientific Literacy of Society Essential for Success of Physics Students?

NASA Astrophysics Data System (ADS)

Turlo, Jozefina

2010-02-01

It is well known that students' interest in physics and technical subjects decreased dramatically in the USA and Europe during the recent years. Why did this happen?? Does the problem lie in wider socio-cultural changes, and the ways in which young people in developed countries now live and wish to shape their lives? Or is it due to failings within science education itself? To answer these questions the Nuffield Foundation (UK) took a decision to examine the actual state of art in science education in Europe and as the result a special Committee in January 2008 published a Report to the Nuffield Foundation on: ``Science Education in Europe: Critical Reflections.'' The main messages of this report are: There are shortcomings in curriculum, pedagogy, assessment and especially in science teacher competencies, but the deeper problem is one of the fundamental purpose. School science education, has never provided a satisfactory education for the majority. Now the evidence is that it is failing in its original purpose, to provide a route into science for future scientists. In such a context, to do nothing is not an option! Thus, there will be some recommendations and conclusions elaborated by the experienced European team of science educators (19) under supervision of Prof. Osborne and Dr. Dillon described, discussed and commented. But as far as the enhancement of ``scientific literacy'' of students and society is concerned, I believe that teachers, in the first place, are the real ``driving force'' of educational change in schools and in the society. Though education of teachers in Europe is very diversified, some patterns can be observed, some trends and examples of good practice identified, and on these I am going to reflect. )

Why won't they listen: Negotiating the technological and social context for science teaching

NASA Astrophysics Data System (ADS)

Liuzzo, Anna M.

The purpose of this study was to gather information to identify the obstacles and the impact an implementation of technology had in a middle school science classroom. This study explored a teaching environment where the teacher planned on using a variety of technology tools including laptops, probeware, hardware and software to promote scientific study. This study took place in two phases consisting of three consecutive years. In phase one the teacher reported great success. In phase two a shift in the school implementation created a significant impact on the learning taking place. This study identified the obstacles faced by a teacher providing an environment that combined her pedagogy with technology implementation. This teacher's pedagogy included research-based practices such a authentic problem-based learning, scientific inquiry, conceptual understanding of problem solving, connections to real-life situations and the use of metacognition in her practice. This study looked to determined if this implementation had an effect on student engagement and achievement; how the nature of technical and professional development impacted the implementation; and the barriers that were faced in creating a student-centered, technology rich approach to science. This qualitative study was conducted meeting the criteria of a case study of one teacher. The participant teacher's accounts of events through interviews were the primary source of data. In addition, multiple sources of information were also gathered. These included the teacher's reflective journal, student interviews, student focus groups, student artifacts, classroom observations, field notes, e-mail correspondences and students' test scores. This study proposes to contribute to the growing research evidence of implementation in the classroom and to identify specific obstacles that hinder success. The current state of education is calling for reform.

A Series of MATLAB Learning Modules to Enhance Numerical Competency in Applied Marine Sciences

NASA Astrophysics Data System (ADS)

Fischer, A. M.; Lucieer, V.; Burke, C.

2016-12-01

Enhanced numerical competency to navigate the massive data landscapes are critical skills students need to effectively explore, analyse and visualize complex patterns in high-dimensional data for addressing the complexity of many of the world's problems. This is especially the case for interdisciplinary, undergraduate applied marine science programs, where students are required to demonstrate competency in methods and ideas across multiple disciplines. In response to this challenge, we have developed a series of repository-based data exploration, analysis and visualization modules in MATLAB for integration across various attending and online classes within the University of Tasmania. The primary focus of these modules is to teach students to collect, aggregate and interpret data from large on-line marine scientific data repositories to, 1) gain technical skills in discovering, accessing, managing and visualising large, numerous data sources, 2) interpret, analyse and design approaches to visualise these data, and 3) to address, through numerical approaches, complex, real-world problems, that the traditional scientific methods cannot address. All modules, implemented through a MATLAB live script, include a short recorded lecture to introduce the topic, a handout that gives an overview of the activities, an instructor's manual with a detailed methodology and discussion points, a student assessment (quiz and level-specific challenge task), and a survey. The marine science themes addressed through these modules include biodiversity, habitat mapping, algal blooms and sea surface temperature change and utilize a series of marine science and oceanographic data portals. Through these modules students, with minimal experience in MATLAB or numerical methods are introduced to array indexing, concatenation, sorting, and reshaping, principal component analysis, spectral analysis and unsupervised classification within the context of oceanographic processes, marine geology and marine community ecology.

QR-STEM: Energy and Environment as a Context for Improving QR and STEM Understandings of 6-12 Grade Teachers II. The Quantitative Reasoning

NASA Astrophysics Data System (ADS)

Mayes, R.; Lyford, M. E.; Myers, J. D.

2009-12-01

The Quantitative Reasoning in STEM (QR STEM) project is a state level Mathematics and Science Partnership Project (MSP) with a focus on the mathematics and statistics that underlies the understanding of complex global scientific issues. This session is a companion session to the QR STEM: The Science presentation. The focus of this session is the quantitative reasoning aspects of the project. As students move from understandings that range from local to global in perspective on issues of energy and environment, there is a significant increase in the need for mathematical and statistical conceptual understanding. These understandings must be accessible to the students within the scientific context, requiring the special understandings that are endemic within quantitative reasoning. The QR STEM project brings together interdisciplinary teams of higher education faculty and middle/high school teachers to explore complex problems in energy and environment. The disciplines include life sciences, physics, chemistry, earth science, statistics, and mathematics. These interdisciplinary teams develop open ended performance tasks to implement in the classroom, based on scientific concepts that underpin energy and environment. Quantitative reasoning is broken down into three components: Quantitative Literacy, Quantitative Interpretation, and Quantitative Modeling. Quantitative Literacy is composed of arithmetic concepts such as proportional reasoning, numeracy, and descriptive statistics. Quantitative Interpretation includes algebraic and geometric concepts that underlie the ability to interpret a model of natural phenomena which is provided for the student. This model may be a table, graph, or equation from which the student is to make predictions or identify trends, or from which they would use statistics to explore correlations or patterns in data. Quantitative modeling is the ability to develop the model from data, including the ability to test hypothesis using statistical procedures. We use the term model very broadly, so it includes visual models such as box models, as well as best fit equation models and hypothesis testing. One of the powerful outcomes of the project is the conversation which takes place between science teachers and mathematics teachers. First they realize that though they are teaching concepts that cross their disciplines, the barrier of scientific language within their subjects restricts students from applying the concepts across subjects. Second the mathematics teachers discover the context of science as a means of providing real world situations that engage students in the utility of mathematics as a tool for solving problems. Third the science teachers discover the barrier to understanding science that is presented by poor quantitative reasoning ability. Finally the students are engaged in exploring energy and environment in a manner which exposes the importance of seeing a problem from multiple interdisciplinary perspectives. The outcome is a democratic citizen capable of making informed decisions, and perhaps a future scientist.

Misreading Science in the Twentieth Century.

ERIC Educational Resources Information Center

Budd, John M.

2001-01-01

Considers textual aspects of scientific communication and problems for reception presented by the complex dynamics of communicating scientific work. Discusses scientific work based on fraud or misconduct and disputes about the nature of science, and applies reception theory and reader-response criticism to understand variations in readings of the…

Scientific Culture and School Culture: Epistemic and Procedural Components.

ERIC Educational Resources Information Center

Jimenez-Aleixandre, Maria Pilar; Diaz de Bustamante, Joaquin; Duschl, Richard A.

This paper discusses the elaboration and application of "scientific culture" categories to the analysis of students' discourse while solving problems in inquiry contexts. Scientific culture means the particular domain culture of science, the culture of science practitioners. The categories proposed include both epistemic operations and…

Teaching problem solving using non-routine tasks

NASA Astrophysics Data System (ADS)

Chong, Maureen Siew Fang; Shahrill, Masitah; Putri, Ratu Ilma Indra; Zulkardi

2018-04-01

Non-routine problems are related to real-life context and require some realistic considerations and real-world knowledge in order to resolve them. This study examines several activity tasks incorporated with non-routine problems through the use of an emerging mathematics framework, at two junior colleges in Brunei Darussalam. The three sampled teachers in this study assisted in selecting the topics and the lesson plan designs. They also recommended the development of the four activity tasks: incorporating the use of technology; simulation of a reality television show; designing real-life sized car park spaces for the school; and a classroom activity to design a real-life sized dustpan. Data collected from all four of the activity tasks were analyzed based on the students' group work. The findings revealed that the most effective activity task in teaching problem solving was to design a real-life sized car park. This was because the use of real data gave students the opportunity to explore, gather information and give or receive feedback on the effect of their reasons and proposed solutions. The second most effective activity task was incorporating the use of technology as it enhanced the students' understanding of the concepts learnt in the classroom. This was followed by the classroom activity that used real data as it allowed students to work and assess the results mathematically. The simulation of a television show was found to be the least effective since it was viewed as not sufficiently challenging to the students.

Collaborative Problem-Solving Environments; Proceedings for the Workshop CPSEs for Scientific Research, San Diego, California, June 20 to July 1, 1999

DOE Office of Scientific and Technical Information (OSTI.GOV)

Chin, George

1999-01-11

A workshop on collaborative problem-solving environments (CPSEs) was held June 29 through July 1, 1999, in San Diego, California. The workshop was sponsored by the U.S. Department of Energy and the High Performance Network Applications Team of the Large Scale Networking Working Group. The workshop brought together researchers and developers from industry, academia, and government to identify, define, and discuss future directions in collaboration and problem-solving technologies in support of scientific research.