Impact of initiatives to implement science inquiry: a comparative study of the Turkish, Israeli, Swedish and Czech science education systems

NASA Astrophysics Data System (ADS)

Heinz, Jana; Enghag, Margareta; Stuchlikova, Iva; Cakmakci, Gultekin; Peleg, Ran; Baram-Tsabari, Ayelet

2017-09-01

This empirical study investigates factors that influence the implementation of science inquiry in the education systems of Turkey, Israel, Sweden and the Czech Republic. Data was collected by means of recordings of science experts' discussions as part of an EU-funded project called Science-Teacher Education Advanced Methods (2009-2012). Results of the qualitative analysis reveal that the following general indicators provide insight into the extent of implementation of inquiry-based science education (IBSE): (1) curriculum (2) assessment (3) policy and (4) teacher professionalization systems. In a second step comparative analyses of the four countries' education systems were conducted with regard to these indicators. To compare these factors we refer to both the framework of neo-institutional theories that explore the emergence of isomorphic educational models and to results from comparative studies emphasizing the influence of the countries' individual structure and cultural practices on modifying global pressure to convergence. Results show that in each of the countries these indicators influence the implementation of science inquiry to varying degrees. Moreover, as a result of the comparative analyses further country specific factors important for implementing science inquiry were found: (5) the need to improve existing teaching methods, (6) predominant teaching patterns, (7) infrastructure that enables changes in education and (8) education system's general goals that correlate with reforms.

Forensic Science in Support of Wildlife Conservation Efforts - Genetic Approaches (Global Trends).

PubMed

Linacre, A

2011-01-01

Wildlife forensic science is a relatively recent development to meet the increasing need of the criminal justice system where there are investigations in alleged transgressions of either international or national legislation. This application of science draws on conservation genetics and forensic geneticists from mainstream forensic science. This review is a broad overview of the history of forensic wildlife science and some of the recent developments in forensic wildlife genetics with the application of DNA developments to nonhuman samples encountered in a forensic science investigation. The review will move from methods to look at the entire genome, when there is no previous knowledge of the species studied, through methods of species identification, using DNA to determine a possible geographic origin, through to assigning samples to a particular individual or a close genetic relative of this individual. The transfer of research methods into the criminal justice system for the investigation of wildlife crimes has been largely successful as is illustrated in the review. The review concludes with comments on the need for standardization and regulation in wildlife forensic science. Copyright © 2011 Central Police University.

Student Science Teachers' Ideas of the Digestive System

ERIC Educational Resources Information Center

Cardak, Osman

2015-01-01

The aim of this research is to reveal the levels of understanding of student science teachers regarding the digestive system. In this research, 116 student science teachers were tested by applying the drawing method. Upon the analysis of the drawings they made, it was found that some of them had misconceptions such as "the organs of the…

Large Scale GW Calculations on the Cori System

NASA Astrophysics Data System (ADS)

Deslippe, Jack; Del Ben, Mauro; da Jornada, Felipe; Canning, Andrew; Louie, Steven

The NERSC Cori system, powered by 9000+ Intel Xeon-Phi processors, represents one of the largest HPC systems for open-science in the United States and the world. We discuss the optimization of the GW methodology for this system, including both node level and system-scale optimizations. We highlight multiple large scale (thousands of atoms) case studies and discuss both absolute application performance and comparison to calculations on more traditional HPC architectures. We find that the GW method is particularly well suited for many-core architectures due to the ability to exploit a large amount of parallelism across many layers of the system. This work was supported by the U.S. Department of Energy, Office of Science, Basic Energy Sciences, Materials Sciences and Engineering Division, as part of the Computational Materials Sciences Program.

From science fair to project-based science: A study of the implementation of an innovation through an existing activity system

NASA Astrophysics Data System (ADS)

Walker, Lisa Jean

The implementation process is critical to the success of educational innovations. Project-based science is an innovation designed to support students' science learning. Science fair is a pervasive school practice in which students exhibit science projects. Little is known about how science fair may affect the implementation of reform efforts in science education. This study explores the relationship of science fair and project-based science in the classrooms of three science teachers. Two theories are used to understand science fair as an instructional practice. Cultural historical activity theory supports an analysis of the origins and development of science fair. The idea of communities of practice supports a focus on why and how educational practitioners participate in science fair and what meanings the activity holds for them. The study identifies five historically-based design themes that have shaped science fair: general science, project method, scientific method, extra-curricular activity, and laboratory science. The themes provide a new framework for describing teachers' classroom practices for science fair activities and support analysis of the ways their practices incorporate aspects of project-based science. Three case studies in Chicago present ethnographic descriptions of science fair practices within the context of school communities. One focuses on the scientific method as a linear process for doing science, another on knowledge generation through laboratory experiments, and the third on student ability to engage in open-ended inquiry. One teacher reinvents a project-based science curriculum to strengthen students' laboratory-based science fair projects, while another reinvents science fair to teach science as inquiry. In each case, science fair is part of the school's efforts to improve science instruction. The cases suggest that reform efforts help to perpetuate science fair practice. To support systemic improvements in science education, this study recommends that science fair be recognized as a classroom instructional activity---rather than an extra-curricular event---and part of the system of science education in this country. If science fair is to reflect new ideas in science education, direct intervention in the practice is necessary. This study---including both the history and examples of current practice---provides valuable insights for reconsidering science fair's design.

Dissemination, Implementation, and Improvement Science Research in Population Health: Opportunities for Public Health and CTSAs

PubMed Central

Gase, Lauren N.; Inkelas, Moira

2015-01-01

Abstract Importance The complex, dynamic nature of health systems requires dissemination, implementation, and improvement (DII) sciences to effectively translate emerging knowledge into practice. Although they hold great promise for informing multisector policies and system‐level changes, these methods are often not strategically used by public health. Objectives and Methods More than 120 stakeholders from Southern California, including the community, federal and local government, university, and health services were convened to identify key priorities and opportunities for public health departments and Clinical and Translational Science Awards programs (CTSAs) to advance DII sciences in population health. Main Outcomes Participants identified challenges (mismatch of practice realities with narrowly focused research questions; lack of iterative learning) and solutions (using methods that fit the dynamic nature of the real world; aligning theories of change across sectors) for applying DII science research to public health problems. Pragmatic steps that public health and CTSAs can take to facilitate DII science research include: employing appropriate study designs; training scientists and practicing professionals in these methods; securing resources to advance this work; and supporting team science to solve complex‐systems issues. Conclusions Public health and CTSAs represent a unique model of practice for advancing DII research in population health. The partnership can inform policy and program development in local communities. PMID:26243323

Remote Operations of the Deep Space Network Radio Science Subsystem

NASA Astrophysics Data System (ADS)

Caetta, J.; Asmar, S.; Abbate, S.; Connally, M.; Goltz, G.

1998-04-01

The capability for scientists to remotely control systems located at the Deep Space Network facilities only recently has been incorporated in the design and implementation of new equipment. However, time lines for the implementation, distribution, and operational readiness of such systems can extend much farther into the future than the users can wait. The Radio Science Systems Group was faced with just that circumstance; new hardware was not scheduled to become operational for several years, but the increasing number of experiments and configurations for Cassini, Galileo, Mars missions, and other flight projects made that time frame impractical because of the associated increasing risk of not acquiring critical data. Therefore, a method of interfacing with the current radio science subsystem has been developed and used with a high degree of success, although with occasional problems due to this capability not having been originally designed into the system. This article discusses both the method and the problems involved in integrating this new (remote) method of control with a legacy system.

Complex network problems in physics, computer science and biology

NASA Astrophysics Data System (ADS)

Cojocaru, Radu Ionut

There is a close relation between physics and mathematics and the exchange of ideas between these two sciences are well established. However until few years ago there was no such a close relation between physics and computer science. Even more, only recently biologists started to use methods and tools from statistical physics in order to study the behavior of complex system. In this thesis we concentrate on applying and analyzing several methods borrowed from computer science to biology and also we use methods from statistical physics in solving hard problems from computer science. In recent years physicists have been interested in studying the behavior of complex networks. Physics is an experimental science in which theoretical predictions are compared to experiments. In this definition, the term prediction plays a very important role: although the system is complex, it is still possible to get predictions for its behavior, but these predictions are of a probabilistic nature. Spin glasses, lattice gases or the Potts model are a few examples of complex systems in physics. Spin glasses and many frustrated antiferromagnets map exactly to computer science problems in the NP-hard class defined in Chapter 1. In Chapter 1 we discuss a common result from artificial intelligence (AI) which shows that there are some problems which are NP-complete, with the implication that these problems are difficult to solve. We introduce a few well known hard problems from computer science (Satisfiability, Coloring, Vertex Cover together with Maximum Independent Set and Number Partitioning) and then discuss their mapping to problems from physics. In Chapter 2 we provide a short review of combinatorial optimization algorithms and their applications to ground state problems in disordered systems. We discuss the cavity method initially developed for studying the Sherrington-Kirkpatrick model of spin glasses. We extend this model to the study of a specific case of spin glass on the Bethe lattice at zero temperature and then we apply this formalism to the K-SAT problem defined in Chapter 1. The phase transition which physicists study often corresponds to a change in the computational complexity of the corresponding computer science problem. Chapter 3 presents phase transitions which are specific to the problems discussed in Chapter 1 and also known results for the K-SAT problem. We discuss the replica method and experimental evidences of replica symmetry breaking. The physics approach to hard problems is based on replica methods which are difficult to understand. In Chapter 4 we develop novel methods for studying hard problems using methods similar to the message passing techniques that were discussed in Chapter 2. Although we concentrated on the symmetric case, cavity methods show promise for generalizing our methods to the un-symmetric case. As has been highlighted by John Hopfield, several key features of biological systems are not shared by physical systems. Although living entities follow the laws of physics and chemistry, the fact that organisms adapt and reproduce introduces an essential ingredient that is missing in the physical sciences. In order to extract information from networks many algorithm have been developed. In Chapter 5 we apply polynomial algorithms like minimum spanning tree in order to study and construct gene regulatory networks from experimental data. As future work we propose the use of algorithms like min-cut/max-flow and Dijkstra for understanding key properties of these networks.

An Ecology of Science Education.

ERIC Educational Resources Information Center

Aubusson, Peter

2002-01-01

Reports on a 15-month study of attempted innovation in school science. The teachers in an Australian secondary school were attempting to introduce a constructivist approach to their teaching of science. Uses a method of analysis in which the school science system is mapped against an ecosystem. (Author/MM)

Evaluation of a Metric Booklet as a Supplement to Teaching the Metric System to Undergraduate Non-Science Majors.

ERIC Educational Resources Information Center

Exum, Kenith Gene

Examined is the effectiveness of a method of teaching the metric system using the booklet, Metric Supplement to Mathematics, in combination with a physical science textbook. The participants in the study were randomly selected undergraduates in a non-science oriented program of study. Instruments used included the Metric Supplement to Mathematics…

Influence of the Simulation Method on 7th Grade Students' Achievements in Science and Technology Lessons

ERIC Educational Resources Information Center

Teke, Huseyin; Dogan, Bekir; Duran, Ahmet

2015-01-01

This study aimed to make a comparative analysis of seventh-grade (the second level of the primary education) students' achievement in "Systems of The Human Body" unit in Science and Technology lesson which was taught using both the simulation method and the traditional method along with the influence of these methods on students'…

Biological mechanisms beyond network analysis via mathematical modeling. Comment on "Network science of biological systems at different scales: A review" by Marko Gosak et al.

NASA Astrophysics Data System (ADS)

Pedersen, Morten Gram

2018-03-01

Methods from network theory are increasingly used in research spanning from engineering and computer science to psychology and the social sciences. In this issue, Gosak et al. [1] provide a thorough review of network science applications to biological systems ranging from the subcellular world via neuroscience to ecosystems, with special attention to the insulin-secreting beta-cells in pancreatic islets.

Dagik Earth: An affordable three-dimensional presentation of global geoscience data in classrooms and science museums

NASA Astrophysics Data System (ADS)

Saito, A.; Takahashi, M.; Tsugawa, T.; Nishi, N.; Odagi, Y.; Yoshida, D.

2009-12-01

Three-dimensional display of the Earth is a most effective way to impress audiences how the Earth looks and make them understand the Earth is one system. There are several projects to display global data on 3D globes, such as Science on a Sphere by NOAA and Geo Cosmos by Miraikan, Japan. They have made great successes to provide audiences opportunities to learn the geoscience outputs through feeling that they are standing in front of the "real" Earth. However, those systems are too large, complicated, and expensive to be used in classrooms and local science museums. We developed an easy method to display global geoscience data in three dimensions without any complex and expensive systems. The method uses a normal PC projector, a PC and a hemispheric screen. To display the geoscience data, virtual globe software, such as Google Earth and NASA World Wind, are used. The virtual globe software makes geometry conversion. That is, the fringe areas are shrunken as it is looked from the space. Thus, when the image made by the virtual globe is projected on the hemispheric screen, it is reversely converted to its original shape on the Earth. This method does not require any specific software, projectors and polarizing glasses to make 3D presentation of the Earth. Only a hemispheric screen that can be purchased with $50 for 60cm diameter is necessary. Dagik Earth is the project that develops and demonstrates the educational programs of geoscience in classrooms and science museums using this 3D Earth presentation method. We have developed a few programs on aurora and weather system, and demonstrated them in under-graduate level classes and science museums, such as National Museum of Nature and Science,Tokyo, Shizuoka Science Center and Kyoto University Museum, since 2007. Package of hardware, geoscience data plot, and textbook have been developed to be used as short-term rental to schools and science museums. Portability, low cost and easiness of development new contents are advantages of Dagik Earth comparing to the other similar 3D systems.

Earth Science Informatics - Overview

NASA Technical Reports Server (NTRS)

Ramapriyan, H. K.

2015-01-01

Over the last 10-15 years, significant advances have been made in information management, there are an increasing number of individuals entering the field of information management as it applies to Geoscience and Remote Sensing data, and the field of informatics has come to its own. Informatics is the science and technology of applying computers and computational methods to the systematic analysis, management, interchange, and representation of science data, information, and knowledge. Informatics also includes the use of computers and computational methods to support decision making and applications. Earth Science Informatics (ESI, a.k.a. geoinformatics) is the application of informatics in the Earth science domain. ESI is a rapidly developing discipline integrating computer science, information science, and Earth science. Major national and international research and infrastructure projects in ESI have been carried out or are on-going. Notable among these are: the Global Earth Observation System of Systems (GEOSS), the European Commissions INSPIRE, the U.S. NSDI and Geospatial One-Stop, the NASA EOSDIS, and the NSF DataONE, EarthCube and Cyberinfrastructure for Geoinformatics. More than 18 departments and agencies in the U.S. federal government have been active in Earth science informatics. All major space agencies in the world, have been involved in ESI research and application activities. In the United States, the Federation of Earth Science Information Partners (ESIP), whose membership includes nearly 150 organizations (government, academic and commercial) dedicated to managing, delivering and applying Earth science data, has been working on many ESI topics since 1998. The Committee on Earth Observation Satellites (CEOS)s Working Group on Information Systems and Services (WGISS) has been actively coordinating the ESI activities among the space agencies. Remote Sensing; Earth Science Informatics, Data Systems; Data Services; Metadata

Computational Methods for Predictive Simulation of Stochastic Turbulence Systems

DTIC Science & Technology

2015-11-05

Science and Engineering, Venice , Italy, May 18-20, 2015, pp. 1261-1272. [21] Yong Li and P.D. Williams Analysis of the RAW Filter in Composite-Tendency...leapfrog scheme, Proceedings of the VI Conference on Computational Methods for Coupled Problems in Science and Engineering, Venice , Italy, May 18-20

Science knowledge and cognitive strategy use among culturally and linguistically diverse students

NASA Astrophysics Data System (ADS)

Lee, Okhee; Fradd, Sandra H.; Sutman, Frank X.

Science performance is determined, to a large extent, by what students already know about science (i.e., science knowledge) and what techniques or methods students use in performing science tasks (i.e., cognitive strategies). This study describes and compares science knowledge, science vocabulary, and cognitive strategy use among four diverse groups of elementary students: (a) monolingual English Caucasian, (b) African-American, (c) bilingual Spanish, and (d) bilingual Haitian Creole. To facilitate science performance in culturally and linguistically congruent settings, the study included student dyads and teachers of the same language, culture, and gender. Science performance was observed using three science tasks: weather phenomena, simple machines, and buoyancy. Data analysis involved a range of qualitative methods focusing on major themes and patterns, and quantitative methods using coding systems to summarize frequencies and total scores. The findings reveal distinct patterns of science knowledge, science vocabulary, and cognitive strategy use among the four language and culture groups. The findings also indicate relationships among science knowledge, science vocabulary, and cognitive strategy use. These findings raise important issues about science instruction for culturally and linguistically diverse groups of students.Received: 3 January 1995;

Proceedings of the 2013 International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering - M and C 2013

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

NONE

2013-07-01

The Mathematics and Computation Division of the American Nuclear (ANS) and the Idaho Section of the ANS hosted the 2013 International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering (M and C 2013). This proceedings contains over 250 full papers with topics ranging from reactor physics; radiation transport; materials science; nuclear fuels; core performance and optimization; reactor systems and safety; fluid dynamics; medical applications; analytical and numerical methods; algorithms for advanced architectures; and validation verification, and uncertainty quantification.

Nondestructive Inspection System for Special Nuclear Material Using Inertial Electrostatic Confinement Fusion Neutrons and Laser Compton Scattering Gamma-Rays

NASA Astrophysics Data System (ADS)

Ohgaki, H.; Daito, I.; Zen, H.; Kii, T.; Masuda, K.; Misawa, T.; Hajima, R.; Hayakawa, T.; Shizuma, T.; Kando, M.; Fujimoto, S.

2017-07-01

A Neutron/Gamma-ray combined inspection system for hidden special nuclear materials (SNMs) in cargo containers has been developed under a program of Japan Science and Technology Agency in Japan. This inspection system consists of an active neutron-detection system for fast screening and a laser Compton backscattering gamma-ray source in coupling with nuclear resonance fluorescence (NRF) method for precise inspection. The inertial electrostatic confinement fusion device has been adopted as a neutron source and two neutron-detection methods, delayed neutron noise analysis method and high-energy neutron-detection method, have been developed to realize the fast screening system. The prototype system has been constructed and tested in the Reactor Research Institute, Kyoto University. For the generation of the laser Compton backscattering gamma-ray beam, a race track microtron accelerator has been used to reduce the size of the system. For the NRF measurement, an array of LaBr3(Ce) scintillation detectors has been adopted to realize a low-cost detection system. The prototype of the gamma-ray system has been demonstrated in the Kansai Photon Science Institute, National Institutes for Quantum and Radiological Science and Technology. By using numerical simulations based on the data taken from these prototype systems and the inspection-flow, the system designed by this program can detect 1 kg of highly enriched 235U (HEU) hidden in an empty 20-ft container within several minutes.

CASE STUDY RESEARCH: THE VIEW FROM COMPLEXITY SCIENCE

PubMed Central

Anderson, Ruth; Crabtree, Benjamin F.; Steele, David J.; McDaniel, Reuben R.

2005-01-01

Many wonder why there has been so little change in care quality, despite substantial quality improvement efforts. Questioning why current approaches are not making true changes draws attention to the organization as a source of answers. We bring together the case study method and complexity science to suggest new ways to study health care organizations. The case study provides a method for studying systems. Complexity theory suggests that keys to understanding the system are contained in patterns of relationships and interactions among the system’s agents. We propose some of the “objects” of study that are implicated by complexity theory and discuss how studying these using case methods may provide useful maps of the system. We offer complexity theory, partnered with case study method, as a place to begin the daunting task of studying a system as an integrated whole. PMID:15802542

A Coding System for Qualitative Studies of the Information-Seeking Process in Computer Science Research

ERIC Educational Resources Information Center

Moral, Cristian; de Antonio, Angelica; Ferre, Xavier; Lara, Graciela

2015-01-01

Introduction: In this article we propose a qualitative analysis tool--a coding system--that can support the formalisation of the information-seeking process in a specific field: research in computer science. Method: In order to elaborate the coding system, we have conducted a set of qualitative studies, more specifically a focus group and some…

Teaching beyond the walls: A mixed method study of prospective elementary teacher's belief systems about science instruction

NASA Astrophysics Data System (ADS)

Asim, Sumreen

This mixed method study investigated K-6 teacher candidates' beliefs about informal science instruction prior to and after their experiences in a 15-week science methods course and in comparison to a non-intervention group. The study is predicated by the literature that supports the extent to which teachers' beliefs influence their instructional practices. The intervention integrated the six strands of learning science in informal science education (NRC, 2009) and exposed candidates to out-of-school-time environments (NRC, 2010). Participants included 17 candidates in the intervention and 75 in the comparison group. All were undergraduate K-6 teacher candidates at one university enrolled in different sections of a required science methods course. All the participants completed the Beliefs about Science Teaching (BAT) survey. Reflective journals, drawings, interviews, and microteaching protocols were collected from participants in the intervention. There was no statistically significant difference in pre or post BAT scores of the two groups; However, there was a statistically significant interaction effect for the intervention group over time. Analysis of the qualitative data revealed that the intervention candidates displayed awareness of each of the six strands of learning science in informal environments and commitment to out-of-school-time learning of science. This study supports current reform efforts favoring integration of informal science instructional strategies in science methods courses of elementary teacher education programs.

A High Efficiency System for Science Instrument Commanding for the Mars Global Surveyor Mission

NASA Technical Reports Server (NTRS)

Jr., R. N. Brooks

1995-01-01

The Mars Global Surveyor (MGS) mission will return to Mars to re- cover most of the science lost when the ill fated Mars Observer space- craft suffered a catastrophic anomaly in its propulsion system and did not go into orbit. Described in detail are the methods employed by the MGS Sequence Team to accelerate science command processing by using standard command generation process and standard UNIX control scripts.

Implementation science for the prevention and treatment of HIV/AIDS.

PubMed

Schackman, Bruce R

2010-12-01

Implementation science is the scientific study of methods to promote the integration of research findings and evidence-based interventions into health care policy and practice and hence to improve the quality and effectiveness of health services and care. Implementation science is distinguished from monitoring and evaluation by its emphasis on the use of the scientific method. The origins of implementation science include operations research, industrial engineering, and management science. Today, implementation science encompasses a broader range of methods and skills including decision science and operations research, health systems research, health outcomes research, health and behavioral economics, epidemiology, statistics, organization and management science, finance, policy analysis, anthropology, sociology, and ethics. Examples of implementation science research are presented for HIV prevention (prevention of mother-to-child transmission of HIV, male circumcision) and HIV and drug use (syringe distribution, treating drug users with antiretroviral therapy and opioid substitution therapy). For implementation science to become an established field in HIV/AIDS research, there needs to be better coordination between funders of research and funders of program delivery and greater consensus on scientific research approaches and standards of evidence.

Visual analytics as a translational cognitive science.

PubMed

Fisher, Brian; Green, Tera Marie; Arias-Hernández, Richard

2011-07-01

Visual analytics is a new interdisciplinary field of study that calls for a more structured scientific approach to understanding the effects of interaction with complex graphical displays on human cognitive processes. Its primary goal is to support the design and evaluation of graphical information systems that better support cognitive processes in areas as diverse as scientific research and emergency management. The methodologies that make up this new field are as yet ill defined. This paper proposes a pathway for development of visual analytics as a translational cognitive science that bridges fundamental research in human/computer cognitive systems and design and evaluation of information systems in situ. Achieving this goal will require the development of enhanced field methods for conceptual decomposition of human/computer cognitive systems that maps onto laboratory studies, and improved methods for conducting laboratory investigations that might better map onto real-world cognitive processes in technology-rich environments. Copyright © 2011 Cognitive Science Society, Inc.

Electro-optic and holographic measurement techniques for the atmospheric sciences. [considering spacecraft simulation applications

NASA Technical Reports Server (NTRS)

Moore, W. W., Jr.; Lemons, J. F.; Kurtz, R. L.; Liu, H.-K.

1977-01-01

A comprehensive examination is made of recent advanced research directions in the applications of electro-optical and holographic instrumentations and methods to atmospheric sciences problems. In addition, an overview is given of the in-house research program for environmental and atmospheric measurements with emphasis on particulates systems. Special treatment is made of the instrument methods and applications work in the areas of laser scattering spectrometers and pulsed holography sizing systems. Selected engineering tests data on space simulation chamber programs are discussed.

Cognitive Science and Military Training.

ERIC Educational Resources Information Center

Halff, Henry M.; And Others

1986-01-01

Four new military training systems offer the opportunity for the application of cognitive science. They are the following: (1) a family of memorization games; (2) a simulator with a graphic, schematic student interface; (3) a system for solving problems of relative motion; and (4) a method of building cognitive skills for air-intercept control.…

Elementary Teachers' Selection and Use of Visual Models

ERIC Educational Resources Information Center

Lee, Tammy D.; Jones, M. Gail

2018-01-01

As science grows in complexity, science teachers face an increasing challenge of helping students interpret models that represent complex science systems. Little is known about how teachers select and use models when planning lessons. This mixed methods study investigated the pedagogical approaches and visual models used by elementary in-service…

Loosening the shackles of scientific disciplines with network science. Reply to comments on "Network science of biological systems at different scales: A review"

NASA Astrophysics Data System (ADS)

Gosak, Marko; Markovič, Rene; Dolenšek, Jurij; Rupnik, Marjan Slak; Marhl, Marko; Stožer, Andraž; Perc, Matjaž

2018-03-01

We would like to thank all the experts for their insightful and very interesting comments that have been submitted in response to our review "Network science of biological systems at different scales" [1]. We are delighted with the number of comments that have been written, and even more so with the positive opinions that these comments communicate to the wider audience [2-9]. Although methods of network science have long proven their value in relevantly addressing various challenges in the biological sciences, such interdisciplinary research often still struggles for funding and recognition at many academic levels.

The creation of science projects in the physics teachers preparation

NASA Astrophysics Data System (ADS)

Horváthová, Daniela; Rakovská, Mária; Zelenický, Ľubomír

2017-01-01

Terms - project, projecting and the method of projecting - are nowadays frequently used in different relations. Those terms, especially as methods (of a cognitive process), are also transferred to the educational process. Before a new educational method comes to practice, the teacher should be familiar with it and preferably when it is done so during his university studies. An optional subject called Physics in a system of science subjects has been included into physics curricula for students of the fourth year of their studies at the Faculty of Science of Constantine the Philosopher University in Nitra. Its task is to make students aware of ways how to coordinate knowledge and instructions presented in these subjects through analysis of curricula and textbooks. As a part of their seminars students are asked to create integrated tasks and experiments which can be assessed from the point of view of either physics or chemistry or biology and which can motivate pupils and form their complex view on various phenomena in the nature. Therefore the article discusses theoretical and also practical questions related to experience that originates from placing the mentioned method and the subject Physics in a system of science subjects into the preparation of a natural sciences teacher in our workplace.

Making Earth Science Relevant in the K-8 Classroom. The Development of an Instructional Soils Module for Pre-Service Elementary Teachers Using the Next Generation Science Standards

NASA Astrophysics Data System (ADS)

Baldwin, K. A.; Hauge, R.; Dechaine, J. M.; Varrella, G.; Egger, A. E.

2013-12-01

The development and adoption of the Next Generation Science Standards (NGSS) raises a challenge in teacher preparation: few current teacher preparation programs prepare students to teach science the way it is presented in the NGSS, which emphasize systems thinking, interdisciplinary science, and deep engagement in the scientific process. In addition, the NGSS include more geoscience concepts and methods than previous standards, yet this is a topic area in which most college students are traditionally underprepared. Although nationwide, programmatic reform is needed, there are a few targets where relatively small, course-level changes can have a large effect. One of these targets is the 'science methods' course for pre-service elementary teachers, a requirement in virtually all teacher preparation programs. Since many elementary schools, both locally and across the country, have adopted a kit based science curriculum, examining kits is often a part of a science methods course. Unfortunately, solely relying on a kit based curriculum may leave gaps in science content curriculum as one prepares teachers to meet the NGSS. Moreover, kits developed at the national level often fall short in connecting geoscientific content to the locally relevant societal issues that engage students. This highlights the need to train pre-service elementary teachers to supplement kit curriculum with inquiry based geoscience investigations that consider relevant societal issues, promote systems thinking and incorporate connections between earth, life, and physical systems. We are developing a module that teaches geoscience concepts in the context of locally relevant societal issues while modeling effective pedagogy for pre-service elementary teachers. Specifically, we focus on soils, an interdisciplinary topic relevant to multiple geoscience-related societal grand challenges (e.g., water, food) that is difficult to engage students in. Module development is funded through InTeGrate, NSF's STEP Center in the geosciences. The module goals are: 1) Pre-service teachers will apply classification methods, testing procedures and interdisciplinary systems thinking to analyze and evaluate a relevant societal issue in the context of soils, 2) Pre-service teachers will design, develop, and facilitate a standards-based K-8 soils unit, incorporating a relevant broader societal issue that applies authentic geoscientific data, and incorporates geoscientific habits of mind. In addition, pre-service teachers will look toward the NGSS and align activities with content standards, systems thinking, and science and engineering practices. This poster will provide an overview of module development to date as well as a summary of pre-semester survey results indicating pre-service elementary teachers' ideas (beliefs, attitudes, preconceptions, and content knowledge) about teaching soils, and making science relevant in a K-8 classroom.

The Characteristics of Earth System Thinking of Science Gifted Students in relation to Climate Changes

NASA Astrophysics Data System (ADS)

Chung, Duk Ho; Cho, Kyu Seong; Hong, Deok Pyo; Park, Kyeong Jin

2016-04-01

This study aimed to investigate the perception of earth system thinking of science gifted students in future problem solving (FPS) in relation to climate changes. In order to this study, the research problem associated with climate changes was developed through a literature review. The thirty seven science gifted students participated in lessons. The ideas in problem solving process of science gifted students were analyzed using the semantic network analysis method. The results are as follows. In the problem solving processes, science gifted students are ''changes of the sunlight by water layer'', ''changes of the Earth''s temperature'', ''changes of the air pressure'', '' change of the wind and weather''were represented in order. On other hand, regard to earth system thinking for climate changes, while science gifted students were used sub components related to atmospheres frequently, they were used sub components related to biosphere, geosphere, and hydrosphere a little. But, the analytical results of the structural relationship between the sub components related to earth system, they were recognised that biosphere, geosphere, and hydrosphere used very important in network structures. In conclusion, science gifted students were understood well that components of the earth system are influencing each other. Keywords : Science gifted students, Future problem solving, Climate change, Earth system thinking

Practices implemented by a Texas charter school system to overcome science teacher shortage

NASA Astrophysics Data System (ADS)

Yasar, Bilgehan M.

The purpose of this study was to examine practices used by a charter school system to hire and retain science teachers. The research design for this study was a qualitative case study. This single instrumental case study explored the issue within a bounded system. Purposeful sampling strategy was used to identify the participants who were interviewed individually. Findings of the case study supported that using online resources, advertising in the newspaper, attending job fairs, using alternative certification programs, attracting alumni, contacting the college of educations and hiring internationally helped the charter school system with hiring science teachers. Improving teacher salary scale, implementing teacher mentorship programs, reimbursing teachers for certification and master's programs, providing professional development and supporting teachers helped to retain science teachers. Therefore, this study contributes to determining strategies and techniques, selecting methods and programs, training administrators, and monitoring for successful hiring and retaining science teacher implementation.

Using tailored methodical approaches to achieve optimal science outcomes

NASA Astrophysics Data System (ADS)

Wingate, Lory M.

2016-08-01

The science community is actively engaged in research, development, and construction of instrumentation projects that they anticipate will lead to new science discoveries. There appears to be very strong link between the quality of the activities used to complete these projects, and having a fully functioning science instrument that will facilitate these investigations.[2] The combination of using internationally recognized standards within the disciplines of project management (PM) and systems engineering (SE) has been demonstrated to lead to achievement of positive net effects and optimal project outcomes. Conversely, unstructured, poorly managed projects will lead to unpredictable, suboptimal project outcomes ultimately affecting the quality of the science that can be done with the new instruments. The proposed application of these two specific methodical approaches, implemented as a tailorable suite of processes, are presented in this paper. Project management (PM) is accepted worldwide as an effective methodology used to control project cost, schedule, and scope. Systems engineering (SE) is an accepted method that is used to ensure that the outcomes of a project match the intent of the stakeholders, or if they diverge, that the changes are understood, captured, and controlled. An appropriate application, or tailoring, of these disciplines can be the foundation upon which success in projects that support science can be optimized.

A multi-level systems perspective for the science of team science.

PubMed

Börner, Katy; Contractor, Noshir; Falk-Krzesinski, Holly J; Fiore, Stephen M; Hall, Kara L; Keyton, Joann; Spring, Bonnie; Stokols, Daniel; Trochim, William; Uzzi, Brian

2010-09-15

This Commentary describes recent research progress and professional developments in the study of scientific teamwork, an area of inquiry termed the "science of team science" (SciTS, pronounced "sahyts"). It proposes a systems perspective that incorporates a mixed-methods approach to SciTS that is commensurate with the conceptual, methodological, and translational complexities addressed within the SciTS field. The theoretically grounded and practically useful framework is intended to integrate existing and future lines of SciTS research to facilitate the field's evolution as it addresses key challenges spanning macro, meso, and micro levels of analysis.

Selected papers in the applied computer sciences 1992

USGS Publications Warehouse

Wiltshire, Denise A.

1992-01-01

This compilation of short papers reports on technical advances in the applied computer sciences. The papers describe computer applications in support of earth science investigations and research. This is the third volume in the series "Selected Papers in the Applied Computer Sciences." Listed below are the topics addressed in the compilation:Integration of geographic information systems and expert systems for resource management,Visualization of topography using digital image processing,Development of a ground-water data base for the southeastern Uited States using a geographic information system,Integration and aggregation of stream-drainage data using a geographic information system,Procedures used in production of digital geologic coverage using compact disc read-only memory (CD-ROM) technology, andAutomated methods for producing a technical publication on estimated water use in the United States.

Assessment of Environmental Sciences R&D and Its Potential Impact on the Design, Manufacture, and Performance of Defense Systems.

DTIC Science & Technology

1996-04-22

to the development of new ARPA program efforts in Environmental Science , and to assess the potential for integration of environmental concerns in the...government in the area of environmental science ; (b) investigation of key methods being attempted by industrial concerns to incorporate environmental

Earth Science Informatics - Overview

NASA Technical Reports Server (NTRS)

Ramapriyan, H. K.

2017-01-01

Over the last 10-15 years, significant advances have been made in information management, there are an increasing number of individuals entering the field of information management as it applies to Geoscience and Remote Sensing data, and the field of informatics has come to its own. Informatics is the science and technology of applying computers and computational methods to the systematic analysis, management, interchange, and representation of science data, information, and knowledge. Informatics also includes the use of computers and computational methods to support decision making and applications. Earth Science Informatics (ESI, a.k.a. geoinformatics) is the application of informatics in the Earth science domain. ESI is a rapidly developing discipline integrating computer science, information science, and Earth science. Major national and international research and infrastructure projects in ESI have been carried out or are on-going. Notable among these are: the Global Earth Observation System of Systems (GEOSS), the European Commissions INSPIRE, the U.S. NSDI and Geospatial One-Stop, the NASA EOSDIS, and the NSF DataONE, EarthCube and Cyberinfrastructure for Geoinformatics. More than 18 departments and agencies in the U.S. federal government have been active in Earth science informatics. All major space agencies in the world, have been involved in ESI research and application activities. In the United States, the Federation of Earth Science Information Partners (ESIP), whose membership includes over 180 organizations (government, academic and commercial) dedicated to managing, delivering and applying Earth science data, has been working on many ESI topics since 1998. The Committee on Earth Observation Satellites (CEOS)s Working Group on Information Systems and Services (WGISS) has been actively coordinating the ESI activities among the space agencies.

Earth Science Informatics - Overview

NASA Technical Reports Server (NTRS)

Ramapriyan, H. K.

2017-01-01

Over the last 10-15 years, significant advances have been made in information management, there are an increasing number of individuals entering the field of information management as it applies to Geoscience and Remote Sensing data, and the field of informatics has come to its own. Informatics is the science and technology of applying computers and computational methods to the systematic analysis, management, interchange, and representation of science data, information, and knowledge. Informatics also includes the use of computers and computational methods to support decision making and applications. Earth Science Informatics (ESI, a.k.a. geoinformatics) is the application of informatics in the Earth science domain. ESI is a rapidly developing discipline integrating computer science, information science, and Earth science. Major national and international research and infrastructure projects in ESI have been carried out or are on-going. Notable among these are: the Global Earth Observation System of Systems (GEOSS), the European Commissions INSPIRE, the U.S. NSDI and Geospatial One-Stop, the NASA EOSDIS, and the NSF DataONE, EarthCube and Cyberinfrastructure for Geoinformatics. More than 18 departments and agencies in the U.S. federal government have been active in Earth science informatics. All major space agencies in the world, have been involved in ESI research and application activities. In the United States, the Federation of Earth Science Information Partners (ESIP), whose membership includes over 180 organizations (government, academic and commercial) dedicated to managing, delivering and applying Earth science data, has been working on many ESI topics since 1998. The Committee on Earth Observation Satellites (CEOS)s Working Group on Information Systems and Services (WGISS) has been actively coordinating the ESI activities among the space agencies.The talk will present an overview of current efforts in ESI, the role members of IEEE GRSS play, and discuss recent developments in data preservation and provenance.

Aural mapping of STEM concepts using literature mining

NASA Astrophysics Data System (ADS)

Bharadwaj, Venkatesh

Recent technological applications have made the life of people too much dependent on Science, Technology, Engineering, and Mathematics (STEM) and its applications. Understanding basic level science is a must in order to use and contribute to this technological revolution. Science education in middle and high school levels however depends heavily on visual representations such as models, diagrams, figures, animations and presentations etc. This leaves visually impaired students with very few options to learn science and secure a career in STEM related areas. Recent experiments have shown that small aural clues called Audemes are helpful in understanding and memorization of science concepts among visually impaired students. Audemes are non-verbal sound translations of a science concept. In order to facilitate science concepts as Audemes, for visually impaired students, this thesis presents an automatic system for audeme generation from STEM textbooks. This thesis describes the systematic application of multiple Natural Language Processing tools and techniques, such as dependency parser, POS tagger, Information Retrieval algorithm, Semantic mapping of aural words, machine learning etc., to transform the science concept into a combination of atomic-sounds, thus forming an audeme. We present a rule based classification method for all STEM related concepts. This work also presents a novel way of mapping and extracting most related sounds for the words being used in textbook. Additionally, machine learning methods are used in the system to guarantee the customization of output according to a user's perception. The system being presented is robust, scalable, fully automatic and dynamically adaptable for audeme generation.

Radio Science Measurements with Suppressed Carrier

NASA Technical Reports Server (NTRS)

Asmar, Sami; Divsalar, Dariush; Oudrhiri, Kamal

2013-01-01

Radio Science started when it became apparent with early Solar missions that occultations by planetary atmospheres would affect the quality of radio communications. Since then the atmospheric properties and other aspects of planetary science, solar science, and fundamental physics were studied by scientists. Radio Science data was always extracted from a received pure residual carrier (without data modulation). For some missions, it is very desirable to obtain Radio Science data from a suppressed carrier modulation. In this paper we propose a method to extract Radio Science data when a coded suppressed carrier modulation is used in deep space communications. Type of modulation can be BPSK, QPSK, OQPSK, MPSK or even GMSK. However we concentrate mostly on BPSK modulation. The proposed method for suppressed carrier simply tries to wipe out data that acts as an interference for Radio Science measurements. In order to measure the estimation errors in amplitude and phase of the Radio Science data we use Cramer-Rao bound (CRB). The CRB for the suppressed carrier modulation with non-ideal data wiping is then compared with residual carrier modulation under the same noise condition. The method of derivation of CRB for non-ideal data wiping is an innovative method that presented here. Some numerical results are provided for coded system.

Citizen science provides a reliable and scalable tool to track disease-carrying mosquitoes.

PubMed

Palmer, John R B; Oltra, Aitana; Collantes, Francisco; Delgado, Juan Antonio; Lucientes, Javier; Delacour, Sarah; Bengoa, Mikel; Eritja, Roger; Bartumeus, Frederic

2017-10-24

Recent outbreaks of Zika, chikungunya and dengue highlight the importance of better understanding the spread of disease-carrying mosquitoes across multiple spatio-temporal scales. Traditional surveillance tools are limited by jurisdictional boundaries and cost constraints. Here we show how a scalable citizen science system can solve this problem by combining citizen scientists' observations with expert validation and correcting for sampling effort. Our system provides accurate early warning information about the Asian tiger mosquito (Aedes albopictus) invasion in Spain, well beyond that available from traditional methods, and vital for public health services. It also provides estimates of tiger mosquito risk comparable to those from traditional methods but more directly related to the human-mosquito encounters that are relevant for epidemiological modelling and scalable enough to cover the entire country. These results illustrate how powerful public participation in science can be and suggest citizen science is positioned to revolutionize mosquito-borne disease surveillance worldwide.

MS PHD'S Professional Development Program: A Scientific Renaissance in Cyberspace

NASA Astrophysics Data System (ADS)

Powell, J. M.; Williamson, V. A.; Griess, C. A.; Pyrtle, A. J.

2004-12-01

This study is a component of a four-year investigation of MS PHD'S Professional Development Program's virtual community through the lenses of underrepresented minority students in Earth system science and engineering fields. In this presentation, the development, assessment and projected utilization of the ongoing study will be discussed. The overall goal of this study is to examine the effectiveness of virtual team building methods and understand how the development of a communal cyberinfrastructure acts as an integral part of the emergence of a Scientific Renaissance. The exemplar, Minorities Striving and Pursuing Higher Degrees of Success in Earth System Science (MS PHD'S), provides professional development experiences to facilitate the advancement of students of color achieving outstanding Earth system careers. Undergraduate and graduate students are supported through access to scientific conferences, mentorship and virtual community building. Framed by critical theory, this ethnographic exploration uses a mixed methods research design to record, observe, and analyze both the processes and products of the website, listserv and synchronous web-based dialogue. First, key findings of the formative evaluation and annual reports of the successfully implemented 2003 MS PHD'S Pilot Project are presented. These findings inform future evaluations of the use of technological resources and illustrate how this public space provides peer support and enriched research opportunities. Quantitative methods such as statistical analysis, academic and professional tracking and evaluative tools for scientific content and competency are complimented by qualitative methods that include observations, heuristic case studies and focus group interviews. The findings of this ongoing investigation will provide insight on how national organizations, higher education practitioners, community-based support systems and underrepresented minorities in the sciences promote diversity by developing successful cyberspace programs and networks. Through the examination of the transformation, expansion and democratization of the Earth system science community, new knowledge will be obtained on how a cyber-community fuses science, diversity and technology to form dialectics between creating and analyzing a Scientific Renaissance.

Summary of research in applied mathematics, numerical analysis, and computer sciences

NASA Technical Reports Server (NTRS)

1986-01-01

The major categories of current ICASE research programs addressed include: numerical methods, with particular emphasis on the development and analysis of basic numerical algorithms; control and parameter identification problems, with emphasis on effective numerical methods; computational problems in engineering and physical sciences, particularly fluid dynamics, acoustics, and structural analysis; and computer systems and software, especially vector and parallel computers.

METHODS FOR MONITORING THE EFFECTS OF ENVIRONMENTAL TOXINS ON THE VISUAL SYSTEM.

EPA Science Inventory

A high percentage of neurotoxic compounds adversely effect the visual system. Our goal is to apply the tools of vision science to problems of toxicological import, exposure-related alterations in visual physiology, psychophysical function, and ocular development. Methods can ...

User Metrics in NASA Earth Science Data Systems

NASA Technical Reports Server (NTRS)

Lynnes, Chris

2018-01-01

This presentation the collection and use of user metrics in NASA's Earth Science data systems. A variety of collection methods is discussed, with particular emphasis given to the American Customer Satisfaction Index (ASCI). User sentiment on potential use of cloud computing is presented, with generally positive responses. The presentation also discusses various forms of automatically collected metrics, including an example of the relative usage of different functions within the Giovanni analysis system.

From Log Files to Assessment Metrics: Measuring Students' Science Inquiry Skills Using Educational Data Mining

ERIC Educational Resources Information Center

Gobert, Janice D.; Sao Pedro, Michael; Raziuddin, Juelaila; Baker, Ryan S.

2013-01-01

We present a method for assessing science inquiry performance, specifically for the inquiry skill of designing and conducting experiments, using educational data mining on students' log data from online microworlds in the Inq-ITS system (Inquiry Intelligent Tutoring System; www.inq-its.org). In our approach, we use a 2-step process: First we use…

Reconciling statistical and systems science approaches to public health.

PubMed

Ip, Edward H; Rahmandad, Hazhir; Shoham, David A; Hammond, Ross; Huang, Terry T-K; Wang, Youfa; Mabry, Patricia L

2013-10-01

Although systems science has emerged as a set of innovative approaches to study complex phenomena, many topically focused researchers including clinicians and scientists working in public health are somewhat befuddled by this methodology that at times appears to be radically different from analytic methods, such as statistical modeling, to which the researchers are accustomed. There also appears to be conflicts between complex systems approaches and traditional statistical methodologies, both in terms of their underlying strategies and the languages they use. We argue that the conflicts are resolvable, and the sooner the better for the field. In this article, we show how statistical and systems science approaches can be reconciled, and how together they can advance solutions to complex problems. We do this by comparing the methods within a theoretical framework based on the work of population biologist Richard Levins. We present different types of models as representing different tradeoffs among the four desiderata of generality, realism, fit, and precision.

Reconciling Statistical and Systems Science Approaches to Public Health

PubMed Central

Ip, Edward H.; Rahmandad, Hazhir; Shoham, David A.; Hammond, Ross; Huang, Terry T.-K.; Wang, Youfa; Mabry, Patricia L.

2016-01-01

Although systems science has emerged as a set of innovative approaches to study complex phenomena, many topically focused researchers including clinicians and scientists working in public health are somewhat befuddled by this methodology that at times appears to be radically different from analytic methods, such as statistical modeling, to which the researchers are accustomed. There also appears to be conflicts between complex systems approaches and traditional statistical methodologies, both in terms of their underlying strategies and the languages they use. We argue that the conflicts are resolvable, and the sooner the better for the field. In this article, we show how statistical and systems science approaches can be reconciled, and how together they can advance solutions to complex problems. We do this by comparing the methods within a theoretical framework based on the work of population biologist Richard Levins. We present different types of models as representing different tradeoffs among the four desiderata of generality, realism, fit, and precision. PMID:24084395

Can there be a physics of financial markets? Methodological reflections on econophysics

NASA Astrophysics Data System (ADS)

Huber, Tobias A.; Sornette, Didier

2016-12-01

We address the question whether there can be a physical science of financial markets. In particular, we examine the argument that, given the reflexivity of financial markets (i.e., the feedback mechanism between expectations and prices), there is a fundamental difference between social and physical systems, which demands a new scientific method. By providing a selective history of the mutual cross-fertilization between physics and economics, we reflect on the methodological differences of how models and theories get constructed in these fields. We argue that the novel conception of financial markets as complex adaptive systems is one of the most important contributions of econophysics and show that this field of research provides the methods, concepts, and tools to scientifically account for reflexivity. We conclude by arguing that a new science of economic and financial systems should not only be physics-based, but needs to integrate findings from other scientific fields, so that a truly multi-disciplinary complex systems science of financial markets can be built.

The Value of Metrics for Science Data Center Management

NASA Astrophysics Data System (ADS)

Moses, J.; Behnke, J.; Watts, T. H.; Lu, Y.

2005-12-01

The Earth Observing System Data and Information System (EOSDIS) has been collecting and analyzing records of science data archive, processing and product distribution for more than 10 years. The types of information collected and the analysis performed has matured and progressed to become an integral and necessary part of the system management and planning functions. Science data center managers are realizing the importance that metrics can play in influencing and validating their business model. New efforts focus on better understanding of users and their methods. Examples include tracking user web site interactions and conducting user surveys such as the government authorized American Customer Satisfaction Index survey. This paper discusses the metrics methodology, processes and applications that are growing in EOSDIS, the driving requirements and compelling events, and the future envisioned for metrics as an integral part of earth science data systems.

Beyond the Flipped Classroom: A Highly Interactive Cloud-Classroom (HIC) Embedded into Basic Materials Science Courses

NASA Astrophysics Data System (ADS)

Liou, Wei-Kai; Bhagat, Kaushal Kumar; Chang, Chun-Yen

2016-06-01

The present study compares the highly interactive cloud-classroom (HIC) system with traditional methods of teaching materials science that utilize crystal structure picture or real crystal structure model, in order to examine its learning effectiveness across three dimensions: knowledge, comprehension and application. The aim of this study was to evaluate the (HIC) system, which incorporates augmented reality, virtual reality and cloud-classroom to teach basic materials science courses. The study followed a pretest-posttest quasi-experimental research design. A total of 92 students (aged 19-20 years), in a second-year undergraduate program, participated in this 18-week-long experiment. The students were divided into an experimental group and a control group. The experimental group (36 males and 10 females) was instructed utilizing the HIC system, while the control group (34 males and 12 females) was led through traditional teaching methods. Pretest, posttest, and delayed posttest scores were evaluated by multivariate analysis of covariance. The results indicated that participants in the experimental group who used the HIC system outperformed the control group, in the both posttest and delayed posttest, across three learning dimensions. Based on these results, the HIC system is recommended to be incorporated in formal materials science learning settings.

Smarter Earth Science Data System

NASA Technical Reports Server (NTRS)

Huang, Thomas

2013-01-01

The explosive growth in Earth observational data in the recent decade demands a better method of interoperability across heterogeneous systems. The Earth science data system community has mastered the art in storing large volume of observational data, but it is still unclear how this traditional method scale over time as we are entering the age of Big Data. Indexed search solutions such as Apache Solr (Smiley and Pugh, 2011) provides fast, scalable search via keyword or phases without any reasoning or inference. The modern search solutions such as Googles Knowledge Graph (Singhal, 2012) and Microsoft Bing, all utilize semantic reasoning to improve its accuracy in searches. The Earth science user community is demanding for an intelligent solution to help them finding the right data for their researches. The Ontological System for Context Artifacts and Resources (OSCAR) (Huang et al., 2012), was created in response to the DARPA Adaptive Vehicle Make (AVM) programs need for an intelligent context models management system to empower its terrain simulation subsystem. The core component of OSCAR is the Environmental Context Ontology (ECO) is built using the Semantic Web for Earth and Environmental Terminology (SWEET) (Raskin and Pan, 2005). This paper presents the current data archival methodology within a NASA Earth science data centers and discuss using semantic web to improve the way we capture and serve data to our users.

The impact of science methods courses on preservice elementary teachers' science teaching self-efficacy beliefs: Case studies from Turkey and the United States

NASA Astrophysics Data System (ADS)

Bursal, Murat

Four case studies in two American and two Turkish science methods classrooms were conducted to investigate the changes in preservice elementary teachers' personal science teaching efficacy (PSTE) beliefs during their course periods. The findings indicated that while Turkish preservice elementary teachers (TR sample) started the science methods course semester with higher PSTE than their American peers (US sample), due to a significant increase in the US sample's and an insignificant decline in the TR sample's PSTE scores, both groups completed the science methods course with similar PSTE levels. Consistent with Bandura's social cognitive theory, describing four major sources of self-efficacy, the inclusion of mastery experiences (inquiry activities and elementary school micro-teaching experiences) and vicarious experiences (observation of course instructor and supervisor elementary teacher) into the science methods course, providing positive social persuasion (positive appraisal from the instructor and classmates), and improving physiological states (reduced science anxiety and positive attitudes toward becoming elementary school teachers), were found to contribute to the significant enhancement of the US sample's PSTE beliefs. For the TR sample, although some of the above sources were present, the lack of student teaching experiences and inservice teacher observations, as well as the TR samples' negative attitudes toward becoming elementary school teachers and a lack of positive classroom support were found to make Turkish preservice teachers rely mostly on their mastery in science concepts, and therefore resulted in not benefiting from their science methods course, in terms of enhancing their PSTE beliefs. Calls for reforms in the Turkish education system that will include more mastery experiences in the science methods courses and provide more flexibility for students to choose their high school majors and college programs, and switch between them are made. In addition to the mastery experiences contributing to the PSTE beliefs, this study reported that preservice elementary teachers' unawareness of their science misconceptions also results in enhancing their self-efficacy, which is troublesome. Revisions in science content courses to employ inquiry activities, designed for addressing and correcting students' misconceptions, are recommended to overcome teacher candidates' lack of science competency and negative attitudes toward science.

Archiving and access systems for remote sensing: Chapter 6

USGS Publications Warehouse

Faundeen, John L.; Percivall, George; Baros, Shirley; Baumann, Peter; Becker, Peter H.; Behnke, J.; Benedict, Karl; Colaiacomo, Lucio; Di, Liping; Doescher, Chris; Dominguez, J.; Edberg, Roger; Ferguson, Mark; Foreman, Stephen; Giaretta, David; Hutchison, Vivian; Ip, Alex; James, N.L.; Khalsa, Siri Jodha S.; Lazorchak, B.; Lewis, Adam; Li, Fuqin; Lymburner, Leo; Lynnes, C.S.; Martens, Matt; Melrose, Rachel; Morris, Steve; Mueller, Norman; Navale, Vivek; Navulur, Kumar; Newman, D.J.; Oliver, Simon; Purss, Matthew; Ramapriyan, H.K.; Rew, Russ; Rosen, Michael; Savickas, John; Sixsmith, Joshua; Sohre, Tom; Thau, David; Uhlir, Paul; Wang, Lan-Wei; Young, Jeff

2016-01-01

Focuses on major developments inaugurated by the Committee on Earth Observation Satellites, the Group on Earth Observations System of Systems, and the International Council for Science World Data System at the global level; initiatives at national levels to create data centers (e.g. the National Aeronautics and Space Administration (NASA) Distributed Active Archive Centers and other international space agency counterparts), and non-government systems (e.g. Center for International Earth Science Information Network). Other major elements focus on emerging tool sets, requirements for metadata, data storage and refresh methods, the rise of cloud computing, and questions about what and how much data should be saved. The sub-sections of the chapter address topics relevant to the science, engineering and standards used for state-of-the-art operational and experimental systems.

Challenges in Computational Social Modeling and Simulation for National Security Decision Making

DTIC Science & Technology

2011-06-01

This study is grounded within a system-activity theory , a logico-philosophical model of interdisciplinary research [13, 14], the concepts of social...often a difficult challenge. Ironically, social science research methods , such as ethnography , may be tremendously helpful in designing these...social sciences. Moreover, CSS projects draw on knowledge and methods from other fields of study , including graph theory , information visualization

The Effect of Teaching Methods and Learning Style on Learning Program Design in Web-Based Education Systems

ERIC Educational Resources Information Center

Hung, Yen-Chu

2012-01-01

The instructional value of web-based education systems has been an important area of research in information systems education. This study investigates the effect of various teaching methods on program design learning for students with specific learning styles in web-based education systems. The study takes first-year Computer Science and…

Introduction to the scientific application system of DAMPE (On behalf of DAMPE collaboration)

NASA Astrophysics Data System (ADS)

Zang, Jingjing

2016-07-01

The Dark Matter Particle Explorer (DAMPE) is a high energy particle physics experiment satellite, launched on 17 Dec 2015. The science data processing and payload operation maintenance for DAMPE will be provided by the DAMPE Scientific Application System (SAS) at the Purple Mountain Observatory (PMO) of Chinese Academy of Sciences. SAS is consisted of three subsystems - scientific operation subsystem, science data and user management subsystem and science data processing subsystem. In cooperation with the Ground Support System (Beijing), the scientific operation subsystem is responsible for proposing observation plans, monitoring the health of satellite, generating payload control commands and participating in all activities related to payload operation. Several databases developed by the science data and user management subsystem of DAMPE methodically manage all collected and reconstructed science data, down linked housekeeping data, payload configuration and calibration data. Under the leadership of DAMPE Scientific Committee, this subsystem is also responsible for publication of high level science data and supporting all science activities of the DAMPE collaboration. The science data processing subsystem of DAMPE has already developed a series of physics analysis software to reconstruct basic information about detected cosmic ray particle. This subsystem also maintains the high performance computing system of SAS to processing all down linked science data and automatically monitors the qualities of all produced data. In this talk, we will describe all functionalities of whole DAMPE SAS system and show you main performances of data processing ability.

Current Approaches in Implementing Citizen Science in the Classroom

PubMed Central

Shah, Harsh R.; Martinez, Luis R.

2016-01-01

Citizen science involves a partnership between inexperienced volunteers and trained scientists engaging in research. In addition to its obvious benefit of accelerating data collection, citizen science has an unexplored role in the classroom, from K–12 schools to higher education. With recent studies showing a weakening in scientific competency of American students, incorporating citizen science initiatives in the curriculum provides a means to address deficiencies in a fragmented educational system. The integration of traditional and innovative pedagogical methods to reform our educational system is therefore imperative in order to provide practical experiences in scientific inquiry, critical thinking, and problem solving for school-age individuals. Citizen science can be used to emphasize the recognition and use of systematic approaches to solve problems affecting the community. PMID:27047583

Current Approaches in Implementing Citizen Science in the Classroom.

PubMed

Shah, Harsh R; Martinez, Luis R

2016-03-01

Citizen science involves a partnership between inexperienced volunteers and trained scientists engaging in research. In addition to its obvious benefit of accelerating data collection, citizen science has an unexplored role in the classroom, from K-12 schools to higher education. With recent studies showing a weakening in scientific competency of American students, incorporating citizen science initiatives in the curriculum provides a means to address deficiencies in a fragmented educational system. The integration of traditional and innovative pedagogical methods to reform our educational system is therefore imperative in order to provide practical experiences in scientific inquiry, critical thinking, and problem solving for school-age individuals. Citizen science can be used to emphasize the recognition and use of systematic approaches to solve problems affecting the community.

Cybernetic Basis and System Practice of Remote Sensing and Spatial Information Science

NASA Astrophysics Data System (ADS)

Tan, X.; Jing, X.; Chen, R.; Ming, Z.; He, L.; Sun, Y.; Sun, X.; Yan, L.

2017-09-01

Cybernetics provides a new set of ideas and methods for the study of modern science, and it has been fully applied in many areas. However, few people have introduced cybernetics into the field of remote sensing. The paper is based on the imaging process of remote sensing system, introducing cybernetics into the field of remote sensing, establishing a space-time closed-loop control theory for the actual operation of remote sensing. The paper made the process of spatial information coherently, and improved the comprehensive efficiency of the space information from acquisition, procession, transformation to application. We not only describes the application of cybernetics in remote sensing platform control, sensor control, data processing control, but also in whole system of remote sensing imaging process control. We achieve the information of output back to the input to control the efficient operation of the entire system. This breakthrough combination of cybernetics science and remote sensing science will improve remote sensing science to a higher level.

Re-Examining the Way We Teach: The Earth System Science Education Alliance Online Courses

NASA Astrophysics Data System (ADS)

Botti, J. A.; Myers, R. J.

2003-12-01

Science education reform has skyrocketed over the last decade thanks in large part to the technology of the Internet, opening up dynamic new online communities of learners. It has allowed educators worldwide to share thoughts about Earth system science and reexamine the way science is taught. The Earth System Science Education Alliance (ESSEA) is one positive offshoot of this reform effort. This developing partnership among universities, colleges, and science education organizations is led by the Institute for Global Environmental Strategies and the Center for Educational TechnologiesTM at Wheeling Jesuit University. ESSEA's mission is to improve Earth system science education. ESSEA has developed three Earth system science courses for K-12 teachers. These online courses guide teachers into collaborative, student-centered science education experiences. Not only do these courses support teachers' professional development, they also help teachers implement Earth systems science content and age-appropriate pedagogical methods into their classrooms. The ESSEA semester-long courses are open to elementary, middle school, and high school educators. After three weeks of introductory content, teachers develop content and pedagogical and technological knowledge in four three-week learning cycles. The elementary school course focuses on basic Earth system interactions between land, life, air, and water. The middle school course stresses the effects of real-world events-volcanic eruptions, hurricanes, rainforest destruction-on Earth's lithosphere, atmosphere, biosphere, and hydrosphere, using "jigsaw" to study the interactions between events, spheres, and positive and negative feedback loops. The high school course uses problem-based learning to examine critical areas of global change, such as coral reef degradation, ozone depletion, and climate change. This ESSEA presentation provides examples of learning environments from each of the three courses.

Affordability Tradeoffs Under Uncertainty Using Epoch-Era Analysis

DTIC Science & Technology

2013-09-30

Procedia Computer Science , Retrieved from: http://www.elsevier.com Bobinis, J., Haimowitz, J., Tuttle, P., & Garrison, C. (2012, October). Affordability...commercial products. Dr. Rhodes received her PhD in Systems Science from the T.J. Watson School of Engineering at Binghamton University. She serves on...components, evaluate feedback, and be adaptive to evolving system behaviors . As affordability is a concept evaluated over time, such a method can

Preparing a New Generation of Citizens and Scientists to Face Earth's Future

ERIC Educational Resources Information Center

Bralower, Timothy J.; Feiss, P. Geoffrey; Manduca, Cathryn A.

2008-01-01

As the research interests and the focus of traditional earth scientists are transformed, so too must education in earth system science at colleges and universities across the country change. The required change involves not only the methods used to teach this new science, but also the essential place of the earth sciences in the panoply of…

Seeking science information online: Data mining Google to better understand the roles of the media and the education system.

PubMed

Segev, Elad; Baram-Tsabari, Ayelet

2012-10-01

Which extrinsic cues motivate people to search for science-related information? For many science-related search queries, media attention and time during the academic year are highly correlated with changes in information seeking behavior (expressed by changes in the proportion of Google science-related searches). The data mining analysis presented here shows that changes in the volume of searches for general and well-established science terms are strongly linked to the education system. By contrast, ad-hoc events and current concerns were better aligned with media coverage. The interest and ability to independently seek science knowledge in response to current events or concerns is one of the fundamental goals of the science literacy movement. This method provides a mirror of extrapolated behavior and as such can assist researchers in assessing the role of the media in shaping science interests, and inform the ways in which lifelong interests in science are manifested in real world situations.

Bounding the Set of Classical Correlations of a Many-Body System

NASA Astrophysics Data System (ADS)

Fadel, Matteo; Tura, Jordi

2017-12-01

We present a method to certify the presence of Bell correlations in experimentally observed statistics, and to obtain new Bell inequalities. Our approach is based on relaxing the conditions defining the set of correlations obeying a local hidden variable model, yielding a convergent hierarchy of semidefinite programs (SDP's). Because the size of these SDP's is independent of the number of parties involved, this technique allows us to characterize correlations in many-body systems. As an example, we illustrate our method with the experimental data presented in Science 352, 441 (2016), 10.1126/science.aad8665.

Social Ecology of Asthma: Engaging Stakeholders in Integrating Health Behavior Theories and Practice-Based Evidence through Systems Mapping

ERIC Educational Resources Information Center

Gillen, Emily M.; Hassmiller Lich, Kristen; Yeatts, Karin B.; Hernandez, Michelle L.; Smith, Timothy W.; Lewis, Megan A.

2014-01-01

This article describes a process for integrating health behavior and social science theories with practice-based insights using participatory systems thinking and diagramming methods largely inspired by system dynamics methods. This integration can help close the gap between research and practice in health education and health behavior by offering…

Advanced Computing for Science.

ERIC Educational Resources Information Center

Hut, Piet; Sussman, Gerald Jay

1987-01-01

Discusses some of the contributions that high-speed computing is making to the study of science. Emphasizes the use of computers in exploring complicated systems without the simplification required in traditional methods of observation and experimentation. Provides examples of computer assisted investigations in astronomy and physics. (TW)

An Overview of the Computational Physics and Methods Group at Los Alamos National Laboratory

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

Baker, Randal Scott

CCS Division was formed to strengthen the visibility and impact of computer science and computational physics research on strategic directions for the Laboratory. Both computer science and computational science are now central to scientific discovery and innovation. They have become indispensable tools for all other scientific missions at the Laboratory. CCS Division forms a bridge between external partners and Laboratory programs, bringing new ideas and technologies to bear on today’s important problems and attracting high-quality technical staff members to the Laboratory. The Computational Physics and Methods Group CCS-2 conducts methods research and develops scientific software aimed at the latest andmore » emerging HPC systems.« less

Hilbert's axiomatic method and Carnap's general axiomatics.

PubMed

Stöltzner, Michael

2015-10-01

This paper compares the axiomatic method of David Hilbert and his school with Rudolf Carnap's general axiomatics that was developed in the late 1920s, and that influenced his understanding of logic of science throughout the 1930s, when his logical pluralism developed. The distinct perspectives become visible most clearly in how Richard Baldus, along the lines of Hilbert, and Carnap and Friedrich Bachmann analyzed the axiom system of Hilbert's Foundations of Geometry—the paradigmatic example for the axiomatization of science. Whereas Hilbert's axiomatic method started from a local analysis of individual axiom systems in which the foundations of mathematics as a whole entered only when establishing the system's consistency, Carnap and his Vienna Circle colleague Hans Hahn instead advocated a global analysis of axiom systems in general. A primary goal was to evade, or formalize ex post, mathematicians' 'material' talk about axiom systems for such talk was held to be error-prone and susceptible to metaphysics. Copyright © 2015 Elsevier Ltd. All rights reserved.

Quantitative Methods in Psychology: Inevitable and Useless

PubMed Central

Toomela, Aaro

2010-01-01

Science begins with the question, what do I want to know? Science becomes science, however, only when this question is justified and the appropriate methodology is chosen for answering the research question. Research question should precede the other questions; methods should be chosen according to the research question and not vice versa. Modern quantitative psychology has accepted method as primary; research questions are adjusted to the methods. For understanding thinking in modern quantitative psychology, two epistemologies should be distinguished: structural-systemic that is based on Aristotelian thinking, and associative-quantitative that is based on Cartesian–Humean thinking. The first aims at understanding the structure that underlies the studied processes; the second looks for identification of cause–effect relationships between the events with no possible access to the understanding of the structures that underlie the processes. Quantitative methodology in particular as well as mathematical psychology in general, is useless for answering questions about structures and processes that underlie observed behaviors. Nevertheless, quantitative science is almost inevitable in a situation where the systemic-structural basis of behavior is not well understood; all sorts of applied decisions can be made on the basis of quantitative studies. In order to proceed, psychology should study structures; methodologically, constructive experiments should be added to observations and analytic experiments. PMID:21833199

Quantitative methods in psychology: inevitable and useless.

PubMed

Toomela, Aaro

2010-01-01

Science begins with the question, what do I want to know? Science becomes science, however, only when this question is justified and the appropriate methodology is chosen for answering the research question. Research question should precede the other questions; methods should be chosen according to the research question and not vice versa. Modern quantitative psychology has accepted method as primary; research questions are adjusted to the methods. For understanding thinking in modern quantitative psychology, two epistemologies should be distinguished: structural-systemic that is based on Aristotelian thinking, and associative-quantitative that is based on Cartesian-Humean thinking. The first aims at understanding the structure that underlies the studied processes; the second looks for identification of cause-effect relationships between the events with no possible access to the understanding of the structures that underlie the processes. Quantitative methodology in particular as well as mathematical psychology in general, is useless for answering questions about structures and processes that underlie observed behaviors. Nevertheless, quantitative science is almost inevitable in a situation where the systemic-structural basis of behavior is not well understood; all sorts of applied decisions can be made on the basis of quantitative studies. In order to proceed, psychology should study structures; methodologically, constructive experiments should be added to observations and analytic experiments.

Factors influencing the results of faculty evaluation in Isfahan University of Medical Sciences.

PubMed

Kamali, Farahnaz; Yamani, Nikoo; Changiz, Tahereh; Zoubin, Fatemeh

2018-01-01

This study aimed to explore factors influencing the results of faculty member evaluation from the viewpoints of faculty members affiliated with Isfahan University of Medical Sciences, Isfahan, Iran. This qualitative study was done using a conventional content analysis method. Participants were faculty members of Isfahan University of Medical Sciences who, considering maximum variation in sampling, were chosen with a purposive sampling method. Semi-structured interviews were held with 11 faculty members until data saturation was reached. The interviews were transcribed verbatim and analyzed with conventional content analysis method for theme development. Further, the MAXQDA software was used for data management. The data analysis led to the development of two main themes, namely, "characteristics of the educational system" and "characteristics of the faculty member evaluation system." The first main theme consists of three categories, i.e. "characteristics of influential people in evaluation," "features of the courses," and "background characteristics." The other theme has the following as its categories: "evaluation methods," "evaluation tools," "evaluation process," and "application of evaluation results." Each category will have its subcategories. Many factors affect the evaluation of faculty members that should be taken into account by educational policymakers for improving the quality of the educational process. In addition to the factors that directly influence the educational system, methodological problems in the evaluation system need special attention.

Using design science and artificial intelligence to improve health communication: ChronologyMD case example.

PubMed

Neuhauser, Linda; Kreps, Gary L; Morrison, Kathleen; Athanasoulis, Marcos; Kirienko, Nikolai; Van Brunt, Deryk

2013-08-01

This paper describes how design science theory and methods and use of artificial intelligence (AI) components can improve the effectiveness of health communication. We identified key weaknesses of traditional health communication and features of more successful eHealth/AI communication. We examined characteristics of the design science paradigm and the value of its user-centered methods to develop eHealth/AI communication. We analyzed a case example of the participatory design of AI components in the ChronologyMD project intended to improve management of Crohn's disease. eHealth/AI communication created with user-centered design shows improved relevance to users' needs for personalized, timely and interactive communication and is associated with better health outcomes than traditional approaches. Participatory design was essential to develop ChronologyMD system architecture and software applications that benefitted patients. AI components can greatly improve eHealth/AI communication, if designed with the intended audiences. Design science theory and its iterative, participatory methods linked with traditional health communication theory and methods can create effective AI health communication. eHealth/AI communication researchers, developers and practitioners can benefit from a holistic approach that draws from theory and methods in both design sciences and also human and social sciences to create successful AI health communication. Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

Promoting Systems Thinking through Biology Lessons

ERIC Educational Resources Information Center

Riess, Werner; Mischo, Christoph

2010-01-01

This study's goal was to analyze various teaching approaches within the context of natural science lessons, especially in biology. The main focus of the paper lies on the effectiveness of different teaching methods in promoting systems thinking in the field of Education for Sustainable Development. The following methods were incorporated into the…

A university system's approach to enhancing the educational mission of health science schools and institutions: the University of Texas Academy of Health Science Education

PubMed Central

Buja, L. Maximilian; Cox, Susan M.; Lieberman, Steven A.; MacClements, Jonathan; Williams, Janet F.; Esterl, Robert M.; Shine, Kenneth I.

2013-01-01

Background The academy movement developed in the United States as an important approach to enhance the educational mission and facilitate the recognition and work of educators at medical schools and health science institutions. Objectives Academies initially formed at individual medical schools. Educators and leaders in The University of Texas System (the UT System, UTS) recognized the academy movement as a means both to address special challenges and pursue opportunities for advancing the educational mission of academic health sciences institutions. Methods The UTS academy process was started by the appointment of a Chancellor's Health Fellow for Education in 2004. Subsequently, the University of Texas Academy of Health Science Education (UTAHSE) was formed by bringing together esteemed faculty educators from the six UTS health science institutions. Results Currently, the UTAHSE has 132 voting members who were selected through a rigorous, system-wide peer review and who represent multiple professional backgrounds and all six campuses. With support from the UTS, the UTAHSE has developed and sustained an annual Innovations in Health Science Education conference, a small grants program and an Innovations in Health Science Education Award, among other UTS health science educational activities. The UTAHSE represents one university system's innovative approach to enhancing its educational mission through multi- and interdisciplinary as well as inter-institutional collaboration. Conclusions The UTAHSE is presented as a model for the development of other consortia-type academies that could involve several components of a university system or coalitions of several institutions. PMID:23490406

NASA's Earth Observing Data and Information System

NASA Technical Reports Server (NTRS)

Mitchell, Andrew E.; Behnke, Jeanne; Lowe, Dawn; Ramapriyan, H. K.

2009-01-01

NASA's Earth Observing System Data and Information System (EOSDIS) has been a central component of NASA Earth observation program for over 10 years. It is one of the largest civilian science information system in the US, performing ingest, archive and distribution of over 3 terabytes of data per day much of which is from NASA s flagship missions Terra, Aqua and Aura. The system supports a variety of science disciplines including polar processes, land cover change, radiation budget, and most especially global climate change. The EOSDIS data centers, collocated with centers of science discipline expertise, archive and distribute standard data products produced by science investigator-led processing systems. Key to the success of EOSDIS is the concept of core versus community requirements. EOSDIS supports a core set of services to meet specific NASA needs and relies on community-developed services to meet specific user needs. EOSDIS offers a metadata registry, ECHO (Earth Observing System Clearinghouse), through which the scientific community can easily discover and exchange NASA s Earth science data and services. Users can search, manage, and access the contents of ECHO s registries (data and services) through user-developed and community-tailored interfaces or clients. The ECHO framework has become the primary access point for cross-Data Center search-and-order of EOSDIS and other Earth Science data holdings archived at the EOSDIS data centers. ECHO s Warehouse Inventory Search Tool (WIST) is the primary web-based client for discovering and ordering cross-discipline data from the EOSDIS data centers. The architecture of the EOSDIS provides a platform for the publication, discovery, understanding and access to NASA s Earth Observation resources and allows for easy integration of new datasets. The EOSDIS also has developed several methods for incorporating socioeconomic data into its data collection. Over the years, we have developed several methods for determining needs of the user community including use of the American Customer Satisfaction Index and a broad metrics program.

Fostering Environmental Literacy For A Changing Earth: Interactive and Participatory Outreach Programs at Biosphere 2

NASA Astrophysics Data System (ADS)

Pavao-Zuckerman, M.; Huxman, T.; Morehouse, B.

2008-12-01

Earth system and ecological sustainability problems are complex outcomes of biological, physical, social, and economic interactions. A common goal of outreach and education programs is to foster a scientifically literate community that possesses the knowledge to contribute to environmental policies and decision making. Uncertainty and variability that is both inherent in Earth system and ecological sciences can confound such goals of improved ecological literacy. Public programs provide an opportunity to engage lay-persons in the scientific method, allowing them to experience science in action and confront these uncertainties face-on. We begin with a definition of scientific literacy that expands its conceptualization of science beyond just a collection of facts and concepts to one that views science as a process to aid understanding of natural phenomena. A process-based scientific literacy allows the public, teachers, and students to assimilate new information, evaluate climate research, and to ultimately make decisions that are informed by science. The Biosphere 2 facility (B2) is uniquely suited for such outreach programs because it allows linking Earth system and ecological science research activities in a large scale controlled environment setting with outreach and education opportunities. A primary outreach goal is to demonstrate science in action to an audience that ranges from K-12 groups to retired citizens. Here we discuss approaches to outreach programs that focus on soil-water-atmosphere-plant interactions and their roles in the impacts and causes of global environmental change. We describe a suite of programs designed to vary the amount of participation a visitor has with the science process (from passive learning to data collection to helping design experiments) to test the hypothesis that active learning fosters increased scientific literacy and the creation of science advocates. We argue that a revised framing of the scientific method with a more open role for citizens in science will have greater success in fostering science literacy and produce a citizenry that is equipped to tackle complex environmental decision making.

JPRS Report, Science & Technology, Japan

DTIC Science & Technology

1988-10-05

collagen, we are conducting research on the immobilization, through chemical bond rather than physical absorption , of collagen on synthetic material...of a large number of samples are conducted by using automated apparatus and enzymatic reagents, it is natural to devise a method to use natural...improvement of enzymatic analytical methods ; 3) development of reaction system and instrumentation system; 4) research on sample treatment methods ; and

Science information systems: Visualization

NASA Technical Reports Server (NTRS)

Wall, Ray J.

1991-01-01

Future programs in earth science, planetary science, and astrophysics will involve complex instruments that produce data at unprecedented rates and volumes. Current methods for data display, exploration, and discovery are inadequate. Visualization technology offers a means for the user to comprehend, explore, and examine complex data sets. The goal of this program is to increase the effectiveness and efficiency of scientists in extracting scientific information from large volumes of instrument data.

The Effects of Using Problem-Based Learning in Science and Technology Teaching upon Students' Academic Achievement and Levels of Structuring Concepts

ERIC Educational Resources Information Center

Inel, Didem; Balim, Ali Gunay

2010-01-01

The present study aimed to investigate the impact of the problem-based learning method used in science and technology teaching upon elementary school students' construction levels for the concepts concerning the "Systems in Our Body" unit in the science and technology course and their academic achievement. To this end, during the four-week…

The development of a consensus definition for healthcare improvement science (HIS) in seven European countries: A consensus methods approach

PubMed Central

Macrae, Rhoda; Lillo-Crespo, Manuel; Rooney, Kevin D

2017-01-01

Abstract Introduction There is a limited body of research in the field of healthcare improvement science (HIS). Quality improvement and ‘change making’ should become an intrinsic part of everyone’s job, every day in all parts of the healthcare system. The lack of theoretical grounding may partly explain the minimal transfer of health research into health policy. Methods This article seeks to present the development of the definition for healthcare improvement science. A consensus method approach was adopted with a two-stage Delphi process, expert panel and consensus group techniques. A total of 18 participants were involved in the expert panel and consensus group, and 153 answers were analysed as a part of the Delphi survey. Participants were researchers, educators and healthcare professionals from Scotland, Slovenia, Spain, Italy, England, Poland, and Romania. Results A high level of consensus was achieved for the broad definition in the 2nd Delphi iteration (86%). The final definition was agreed on by the consensus group: ‘Healthcare improvement science is the generation of knowledge to cultivate change and deliver person-centred care that is safe, effective, efficient, equitable and timely. It improves patient outcomes, health system performance and population health.’ Conclusions The process of developing a consensus definition revealed different understandings of healthcare improvement science between the participants. Having a shared consensus definition of healthcare improvement science is an important step forward, bringing about a common understanding in order to advance the professional education and practice of healthcare improvement science. PMID:28289467

Earth Science Teaching Strategies Used in the International Polar Year

NASA Astrophysics Data System (ADS)

Sparrow, E. B.

2009-04-01

There are many effective methods for teaching earth science education that are being successfully used during the fourth International Polar Year (IPY). Relevance of IPY and the polar regions is better understood using a systems thinking approach used in earth science education. Changes in components of the earth system have a global effect; and changes in the polar regions will affect the rest of the world regions and vice versa. Teaching strategies successfully used for primary, secondary, undergraduate and graduate student earth science education and IPY education outreach include: 1) engaging students in earth science or environmental research relevant to their locale; 2) blending lectures with research expeditions or field studies, 3) connecting students with scientists in person and through audio and video conferencing; 4) combining science and arts in teaching, learning and communicating about earth science and the polar regions, capitalizing on the uniqueness of polar regions and its inhabitants, and its sensitivity to climate change; and 5) integrating different perspectives: western science, indigenous and community knowledge in the content and method of delivery. Use of these strategies are exemplified in IPY projects in the University of the Arctic IPY Higher Education Outreach Project cluster such as the GLOBE Seasons and Biomes project, the Ice Mysteries e-Polar Books: An Innovative Way of Combining Science and Literacy project, the Resilience and Adaptation Integrative Graduate Education and Research Traineeship project, and the Svalbard Research Experience for Undergraduates project.

Benchmark Comparison of Cloud Analytics Methods Applied to Earth Observations

NASA Technical Reports Server (NTRS)

Lynnes, Chris; Little, Mike; Huang, Thomas; Jacob, Joseph; Yang, Phil; Kuo, Kwo-Sen

2016-01-01

Cloud computing has the potential to bring high performance computing capabilities to the average science researcher. However, in order to take full advantage of cloud capabilities, the science data used in the analysis must often be reorganized. This typically involves sharding the data across multiple nodes to enable relatively fine-grained parallelism. This can be either via cloud-based file systems or cloud-enabled databases such as Cassandra, Rasdaman or SciDB. Since storing an extra copy of data leads to increased cost and data management complexity, NASA is interested in determining the benefits and costs of various cloud analytics methods for real Earth Observation cases. Accordingly, NASA's Earth Science Technology Office and Earth Science Data and Information Systems project have teamed with cloud analytics practitioners to run a benchmark comparison on cloud analytics methods using the same input data and analysis algorithms. We have particularly looked at analysis algorithms that work over long time series, because these are particularly intractable for many Earth Observation datasets which typically store data with one or just a few time steps per file. This post will present side-by-side cost and performance results for several common Earth observation analysis operations.

The Development of the Navigation System for Visually Impaired Persons

DTIC Science & Technology

2001-10-25

method) is used in our system. In this papaer , we re- fer to the developed methods which are the positioning method without DGPS and the method of the...University Kanagawa, Japan Performing Organization Report Number Sponsoring/Monitoring Agency Name(s) and Address(es) US Army Research , Development...impaired. ACKNOWLEDGMENT This research was partially supported by the Ministry of Education, Science, Sports and Culture, Grant-in-Aid for Scienti c

Data stewardship - a fundamental part of the scientific method (Invited)

NASA Astrophysics Data System (ADS)

Foster, C.; Ross, J.; Wyborn, L. A.

2013-12-01

This paper emphasises the importance of data stewardship as a fundamental part of the scientific method, and the need to effect cultural change to ensure engagement by earth scientists. It is differentiated from the science of data stewardship per se. Earth System science generates vast quantities of data, and in the past, data analysis has been constrained by compute power, such that sub-sampling of data often provided the only way to reach an outcome. This is analogous to Kahneman's System 1 heuristic, with its simplistic and often erroneous outcomes. The development of HPC has liberated earth sciences such that the complexity and heterogeneity of natural systems can be utilised in modelling at any scale, global, or regional, or local; for example, movement of crustal fluids. Paradoxically, now that compute power is available, it is the stewardship of the data that is presenting the main challenges. There is a wide spectrum of issues: from effectively handling and accessing acquired data volumes [e.g. satellite feeds per day/hour]; through agreed taxonomy to effect machine to machine analyses; to idiosyncratic approaches by individual scientists. Except for the latter, most agree that data stewardship is essential. Indeed it is an essential part of the science workflow. As science struggles to engage and inform on issues of community importance, such as shale gas and fraccing, all parties must have equal access to data used for decision making; without that, there will be no social licence to operate or indeed access to additional science funding (Heidorn, 2008). The stewardship of scientific data is an essential part of the science process; but often it is regarded, wrongly, as entirely in the domain of data custodians or stewards. Geoscience Australia has developed a set of six principles that apply to all science activities within the agency: Relevance to Government Collaborative science Quality science Transparent science Communicated science Sustained science capability Every principle includes data stewardship: this is to effect cultural change at both collective and individual levels to ensure that our science outcomes and technical advice are effective for the Government and community.

C3 Domain Analysis, Lessons Learned

DTIC Science & Technology

1993-09-30

organize the domain. This approach is heavily based on the principles of library science and is geared toward a reuse effort with a large library-like...method adapts many principles from library science to the organization and implementation of a reuse library. C-1 DEFENSE INFORMATION SYSTEMS AGENCY

DataHub knowledge based assistance for science visualization and analysis using large distributed databases

NASA Technical Reports Server (NTRS)

Handley, Thomas H., Jr.; Collins, Donald J.; Doyle, Richard J.; Jacobson, Allan S.

1991-01-01

Viewgraphs on DataHub knowledge based assistance for science visualization and analysis using large distributed databases. Topics covered include: DataHub functional architecture; data representation; logical access methods; preliminary software architecture; LinkWinds; data knowledge issues; expert systems; and data management.

Systemic Hydration: Relating Science to Clinical Practice in Vocal Health

PubMed Central

Hartley, Naomi A.; Thibeault, Susan L.

2014-01-01

Objectives To examine the current state of the science regarding the role of systemic hydration in vocal function and health. Study Design Literature Review Methods Literature search spanning multiple disciplines, including speech-language pathology, nutrition and dietetics, medicine, sports and exercise science, physiology and biomechanics. Results The relationship between hydration and physical function is an area of common interest amongst multiple professions. Each discipline provides valuable insight into the connection between performance and water balance, as well as complimentary methods of investigation. Existing voice literature suggests a relationship between hydration and voice production, however the underlying mechanisms are not yet defined and a treatment effect for systemic hydration remains to be demonstrated. Literature from other disciplines sheds light on methodological shortcomings and in some cases offers an alternative explanation for observed phenomena. Conclusions A growing body of literature in the field of voice science is documenting a relationship between hydration and vocal function, however greater understanding is required to guide best practice in the maintenance of vocal health and management of voice disorders. Integration of knowledge and technical expertise from multiple disciplines facilitates analysis of existing literature and provides guidance as to future research. PMID:24880674

An overview of the model integration process: From pre ...

EPA Pesticide Factsheets

Integration of models requires linking models which can be developed using different tools, methodologies, and assumptions. We performed a literature review with the aim of improving our understanding of model integration process, and also presenting better strategies for building integrated modeling systems. We identified five different phases to characterize integration process: pre-integration assessment, preparation of models for integration, orchestration of models during simulation, data interoperability, and testing. Commonly, there is little reuse of existing frameworks beyond the development teams and not much sharing of science components across frameworks. We believe this must change to enable researchers and assessors to form complex workflows that leverage the current environmental science available. In this paper, we characterize the model integration process and compare integration practices of different groups. We highlight key strategies, features, standards, and practices that can be employed by developers to increase reuse and interoperability of science software components and systems. The paper provides a review of the literature regarding techniques and methods employed by various modeling system developers to facilitate science software interoperability. The intent of the paper is to illustrate the wide variation in methods and the limiting effect the variation has on inter-framework reuse and interoperability. A series of recommendation

Semiannual report, 1 April - 30 September 1991

NASA Technical Reports Server (NTRS)

1991-01-01

The major categories of the current Institute for Computer Applications in Science and Engineering (ICASE) research program are: (1) numerical methods, with particular emphasis on the development and analysis of basic numerical algorithms; (2) control and parameter identification problems, with emphasis on effective numerical methods; (3) computational problems in engineering and the physical sciences, particularly fluid dynamics, acoustics, and structural analysis; and (4) computer systems and software for parallel computers. Research in these areas is discussed.

Research in applied mathematics, numerical analysis, and computer science

NASA Technical Reports Server (NTRS)

1984-01-01

Research conducted at the Institute for Computer Applications in Science and Engineering (ICASE) in applied mathematics, numerical analysis, and computer science is summarized and abstracts of published reports are presented. The major categories of the ICASE research program are: (1) numerical methods, with particular emphasis on the development and analysis of basic numerical algorithms; (2) control and parameter identification; (3) computational problems in engineering and the physical sciences, particularly fluid dynamics, acoustics, and structural analysis; and (4) computer systems and software, especially vector and parallel computers.

U.S. Geological Survey core science systems strategy: characterizing, synthesizing, and understanding the critical zone through a modular science framework

USGS Publications Warehouse

Bristol, R. Sky; Euliss, Ned H.; Booth, Nathaniel L.; Burkardt, Nina; Diffendorfer, Jay E.; Gesch, Dean B.; McCallum, Brian E.; Miller, David M.; Morman, Suzette A.; Poore, Barbara S.; Signell, Richard P.; Viger, Roland J.

2013-01-01

Core Science Systems is a new mission of the U.S. Geological Survey (USGS) that resulted from the 2007 Science Strategy, "Facing Tomorrow's Challenges: U.S. Geological Survey Science in the Decade 2007-2017." This report describes the Core Science Systems vision and outlines a strategy to facilitate integrated characterization and understanding of the complex Earth system. The vision and suggested actions are bold and far-reaching, describing a conceptual model and framework to enhance the ability of the USGS to bring its core strengths to bear on pressing societal problems through data integration and scientific synthesis across the breadth of science. The context of this report is inspired by a direction set forth in the 2007 Science Strategy. Specifically, ecosystem-based approaches provide the underpinnings for essentially all science themes that define the USGS. Every point on Earth falls within a specific ecosystem where data, other information assets, and the expertise of USGS and its many partners can be employed to quantitatively understand how that ecosystem functions and how it responds to natural and anthropogenic disturbances. Every benefit society obtains from the planet-food, water, raw materials to build infrastructure, homes and automobiles, fuel to heat homes and cities, and many others, are derived from or affect ecosystems. The vision for Core Science Systems builds on core strengths of the USGS in characterizing and understanding complex Earth and biological systems through research, modeling, mapping, and the production of high quality data on the Nation's natural resource infrastructure. Together, these research activities provide a foundation for ecosystem-based approaches through geologic mapping, topographic mapping, and biodiversity mapping. The vision describes a framework founded on these core mapping strengths that makes it easier for USGS scientists to discover critical information, share and publish results, and identify potential collaborations that transcend all USGS missions. The framework is designed to improve the efficiency of scientific work within USGS by establishing a means to preserve and recall data for future applications, organizing existing scientific knowledge and data to facilitate new use of older information, and establishing a future workflow that naturally integrates new data, applications, and other science products to make interdisciplinary research easier and more efficient. Given the increasing need for integrated data and interdisciplinary approaches to solve modern problems, leadership by the Core Science Systems mission will facilitate problem solving by all USGS missions in ways not formerly possible. The report lays out a strategy to achieve this vision through three goals with accompanying objectives and actions. The first goal builds on and enhances the strengths of the Core Science Systems mission in characterizing and understanding the Earth system from the geologic framework to the topographic characteristics of the land surface and biodiversity across the Nation. The second goal enhances and develops new strengths in computer and information science to make it easier for USGS scientists to discover data and models, share and publish results, and discover connections between scientific information and knowledge. The third goal brings additional focus to research and development methods to address complex issues affecting society that require integration of knowledge and new methods for synthesizing scientific information. Collectively, the report lays out a strategy to create a seamless connection between all USGS activities to accelerate and make USGS science more efficient by fully integrating disciplinary expertise within a new and evolving science paradigm for a changing world in the 21st century.

Science strategy for Core Science Systems in the U.S. Geological Survey, 2013-2023

USGS Publications Warehouse

Bristol, R. Sky; Euliss, Ned H.; Booth, Nathaniel L.; Burkardt, Nina; Diffendorfer, Jay E.; Gesch, Dean B.; McCallum, Brian E.; Miller, David M.; Morman, Suzette A.; Poore, Barbara S.; Signell, Richard P.; Viger, Roland J.

2012-01-01

Core Science Systems is a new mission of the U.S. Geological Survey (USGS) that grew out of the 2007 Science Strategy, “Facing Tomorrow’s Challenges: U.S. Geological Survey Science in the Decade 2007–2017.” This report describes the vision for this USGS mission and outlines a strategy for Core Science Systems to facilitate integrated characterization and understanding of the complex earth system. The vision and suggested actions are bold and far-reaching, describing a conceptual model and framework to enhance the ability of USGS to bring its core strengths to bear on pressing societal problems through data integration and scientific synthesis across the breadth of science.The context of this report is inspired by a direction set forth in the 2007 Science Strategy. Specifically, ecosystem-based approaches provide the underpinnings for essentially all science themes that define the USGS. Every point on earth falls within a specific ecosystem where data, other information assets, and the expertise of USGS and its many partners can be employed to quantitatively understand how that ecosystem functions and how it responds to natural and anthropogenic disturbances. Every benefit society obtains from the planet—food, water, raw materials to build infrastructure, homes and automobiles, fuel to heat homes and cities, and many others, are derived from or effect ecosystems.The vision for Core Science Systems builds on core strengths of the USGS in characterizing and understanding complex earth and biological systems through research, modeling, mapping, and the production of high quality data on the nation’s natural resource infrastructure. Together, these research activities provide a foundation for ecosystem-based approaches through geologic mapping, topographic mapping, and biodiversity mapping. The vision describes a framework founded on these core mapping strengths that makes it easier for USGS scientists to discover critical information, share and publish results, and identify potential collaborations that transcend all USGS missions. The framework is designed to improve the efficiency of scientific work within USGS by establishing a means to preserve and recall data for future applications, organizing existing scientific knowledge and data to facilitate new use of older information, and establishing a future workflow that naturally integrates new data, applications, and other science products to make it easier and more efficient to conduct interdisciplinary research over time. Given the increasing need for integrated data and interdisciplinary approaches to solve modern problems, leadership by the Core Science Systems mission will facilitate problem solving by all USGS missions in ways not formerly possible.The report lays out a strategy to achieve this vision through three goals with accompanying objectives and actions. The first goal builds on and enhances the strengths of the Core Science Systems mission in characterizing and understanding the earth system from the geologic framework to the topographic characteristics of the land surface and biodiversity across the nation. The second goal enhances and develops new strengths in computer and information science to make it easier for USGS scientists to discover data and models, share and publish results, and discover connections between scientific information and knowledge. The third goal brings additional focus to research and development methods to address complex issues affecting society that require integration of knowledge and new methods for synthesizing scientific information. Collectively, the report lays out a strategy to create a seamless connection between all USGS activities to accelerate and make USGS science more efficient by fully integrating disciplinary expertise within a new and evolving science paradigm for a changing world in the 21st century.

Formal methods and digital systems validation for airborne systems

NASA Technical Reports Server (NTRS)

Rushby, John

1993-01-01

This report has been prepared to supplement a forthcoming chapter on formal methods in the FAA Digital Systems Validation Handbook. Its purpose is as follows: to outline the technical basis for formal methods in computer science; to explain the use of formal methods in the specification and verification of software and hardware requirements, designs, and implementations; to identify the benefits, weaknesses, and difficulties in applying these methods to digital systems used on board aircraft; and to suggest factors for consideration when formal methods are offered in support of certification. These latter factors assume the context for software development and assurance described in RTCA document DO-178B, 'Software Considerations in Airborne Systems and Equipment Certification,' Dec. 1992.

Uncertainty in Driftless Area Cold-Water Fishery Decision Making and a Framework for Stakeholder-Based Science

NASA Astrophysics Data System (ADS)

Schuster, Z.

2015-12-01

The paradigm of stakeholder-based science is becoming more popular as organizations such as the U.S. Department of the Interior Climate Science Centers adopt it as a way of providing practicable climate change information to practitioners. One of the key issues stakeholders face in adopting climate change information into their decision processes is how uncertainty is addressed and communicated. In this study, we conducted a series of semi-structured interviews with managers and scientists working on stream habitat restoration of cold-water fisheries in the Driftless Area of Wisconsin that were focused on how they interpret and manage uncertainty and what types of information they need to make better decisions. One of the important lessons we learned from the interviews is that if researchers are going to provide useful climate change information to stakeholders, they need to understand where and how decisions are made and what adaptation measures are actually available in a given decision arena. This method of incorporating social science methods into climate science production can provide a framework for researchers from the Climate Science Centers and others who are interested in pursuing stakeholder-based science. By indentifying a specific ecological system and conducting interviews with actors who work on that system, researchers will be able to gain a better understanding of how their climate change science can fit into existing or shape new decision processes. We also interpreted lessons learned from our interviews via existing literature in areas such as stakeholder-based modeling and the decision sciences to provide guidance specific to the stakeholder-based science process.

Impact of the 3-D model strategy on science learning of the solar system

NASA Astrophysics Data System (ADS)

Alharbi, Mohammed

The purpose of this mixed method study, quantitative and descriptive, was to determine whether the first-middle grade (seventh grade) students at Saudi schools are able to learn and use the Autodesk Maya software to interact and create their own 3-D models and animations and whether their use of the software influences their study habits and their understanding of the school subject matter. The study revealed that there is value to the science students regarding the use of 3-D software to create 3-D models to complete science assignments. Also, this study aimed to address the middle-school students' ability to learn 3-D software in art class, and then ultimately use it in their science class. The success of this study may open the way to consider the impact of 3-D modeling on other school subjects, such as mathematics, art, and geography. When the students start using graphic design, including 3-D software, at a young age, they tend to develop personal creativity and skills. The success of this study, if applied in schools, will provide the community with skillful young designers and increase awareness of graphic design and the new 3-D technology. Experimental method was used to answer the quantitative research question, are there significant differences applying the learning method using 3-D models (no 3-D, premade 3-D, and create 3-D) in a science class being taught about the solar system and its impact on the students' science achievement scores? Descriptive method was used to answer the qualitative research questions that are about the difficulty of learning and using Autodesk Maya software, time that students take to use the basic levels of Polygon and Animation parts of the Autodesk Maya software, and level of students' work quality.

Scientific Computation Application Partnerships in Materials and Chemical Sciences, Charge Transfer and Charge Transport in Photoactivated Systems, Developing Electron-Correlated Methods for Excited State Structure and Dynamics in the NWChem Software Suite

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

Cramer, Christopher J.

Charge transfer and charge transport in photoactivated systems are fundamental processes that underlie solar energy capture, solar energy conversion, and photoactivated catalysis, both organometallic and enzymatic. We developed methods, algorithms, and software tools needed for reliable treatment of the underlying physics for charge transfer and charge transport, an undertaking with broad applicability to the goals of the fundamental-interaction component of the Department of Energy Office of Basic Energy Sciences and the exascale initiative of the Office of Advanced Scientific Computing Research.

Principles of Integration of Sustainability Science in Educational Practice

ERIC Educational Resources Information Center

Abdul Gafoor, K.

2013-01-01

This paper argues that sustainability is an issue of the method or approach we have towards systems and subsystems of nature, life, society. Put in this way, in education sustainability is an issue of methods of teaching and learning. Breaking down the system makes it unsustainable. Degeneration results from fragmenting the natural wholes and…

Three-Dimensional Printing of Human Skeletal Muscle Cells: An Interdisciplinary Approach for Studying Biological Systems

ERIC Educational Resources Information Center

Bagley, James R.; Galpin, Andrew J.

2015-01-01

Interdisciplinary exploration is vital to education in the 21st century. This manuscript outlines an innovative laboratory-based teaching method that combines elements of biochemistry/molecular biology, kinesiology/health science, computer science, and manufacturing engineering to give students the ability to better conceptualize complex…

Social Science Methods Used in the RESTORE Project

Treesearch

Lynne M. Westphal; Cristy Watkins; Paul H. Gobster; Liam Heneghan; Kristen Ross; Laurel Ross; Madeleine Tudor; Alaka Wali; David H. Wise; Joanne Vining; Moira Zellner

2014-01-01

The RESTORE (Rethinking Ecological and Social Theories of Restoration Ecology) project is an interdisciplinary, multi-institutional research endeavor funded by the National Science Foundation's Dynamics of Coupled Natural Human Systems program. The goal of the project is to understand the links between organizational type, decision making processes, and...

A Taste of Math & Science

ERIC Educational Resources Information Center

Hurley, Marlene M.; Normandia, Bruce

2005-01-01

This article provides a science lesson for the middle school level, the metric system is used for all methods of measurement. The example lesson utilizes edible fruit as the real-world focus and offers ideas for additional lessons and the integration of disciplines beyond mathematics. This lesson requires students to handle, examine, and possibly…

Space Power Integration: Perspectives from Space Weapons Officers

DTIC Science & Technology

2006-12-01

staff at Air University Press, Dr. Philip Adkins, Mrs. Sherry Terrell , and Mrs. Vivian O’Neal. Their creation of an integrated book from nine...Techniques of Complex Systems Science: An Overview ( Ann Arbor, MI: Center for the Study of Complex Sys- tems, University of Michigan, 9 July 2003), 34...Depart- ment of the Navy Space Policy, 26 August 1993. Shalizi, Cosma Rohilla. Methods and Techniques of Complex Systems Science: An Overview. Ann

Assessing cellulolysis in passive treatment systems for mine drainage: a modified enzyme assay.

PubMed

McDonald, Corina M; Gould, W Douglas; Lindsay, Matthew B J; Blowes, David W; Ptacek, Carol J; Condon, Peter D

2013-01-01

A modified cellulase enzyme assay was developed to monitor organic matter degradation in passive treatment systems for mine drainage. This fluorogenic substrate method facilitates assessment of exo-(1,4)-β-D-glucanase, endo-(1,4)-β-D-glucanase, and β-glucosidase, which compose an important cellulase enzyme system. The modified method was developed and refined using samples of organic carbon-amended mine tailings from field experiments where sulfate reduction was induced as a strategy for managing water quality. Sample masses (3 g) and the number of replicates ( ≥ 3) were optimized. Matrix interferences within these metal-rich samples were found to be insignificant. Application of this modified cellulase assay method provided insight into the availability and degradation of organic carbon within the amended tailings. Results of this study indicate that cellulase enzyme assays can be applied to passive treatment systems for mine drainage, which commonly contain elevated concentrations of metals. Copyright © by the American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America, Inc.

The Difference between Uncertainty and Information, and Why This Matters

NASA Astrophysics Data System (ADS)

Nearing, G. S.

2016-12-01

Earth science investigation and arbitration (for decision making) is very often organized around a concept of uncertainty. It seems relatively straightforward that the purpose of our science is to reduce uncertainty about how environmental systems will react and evolve under different conditions. I propose here that approaching a science of complex systems as a process of quantifying and reducing uncertainty is a mistake, and specifically a mistake that is rooted in certain rather hisoric logical errors. Instead I propose that we should be asking questions about information. I argue here that an information-based perspective facilitates almost trivial answers to environmental science questions that are either difficult or theoretically impossible to answer when posed as questions about uncertainty. In particular, I propose that an information-centric perspective leads to: Coherent and non-subjective hypothesis tests for complex system models. Process-level diagnostics for complex systems models. Methods for building complex systems models that allow for inductive inference without the need for a priori specification of likelihood functions or ad hoc error metrics. Asymptotically correct quantification of epistemic uncertainty. To put this in slightly more basic terms, I propose that an information-theoretic philosophy of science has the potential to resolve certain important aspects of the Demarcation Problem and the Duhem-Quine Problem, and that Hydrology and other Earth Systems Sciences can immediately capitalize on this to address some of our most difficult and persistent problems.

New Earth Science Data and Access Methods

NASA Technical Reports Server (NTRS)

Moses, John F.; Weinstein, Beth E.; Farnham, Jennifer

2004-01-01

NASA's Earth Science Enterprise, working with its domestic and international partners, provides scientific data and analysis to improve life here on Earth. NASA provides science data products that cover a wide range of physical, geophysical, biochemical and other parameters, as well as services for interdisciplinary Earth science studies. Management and distribution of these products is administered through the Earth Observing System Data and Information System (EOSDIS) Distributed Active Archive Centers (DAACs), which all hold data within a different Earth science discipline. This paper will highlight selected EOS datasets and will focus on how these observations contribute to the improvement of essential services such as weather forecasting, climate prediction, air quality, and agricultural efficiency. Emphasis will be placed on new data products derived from instruments on board Terra, Aqua and ICESat as well as new regional data products and field campaigns. A variety of data tools and services are available to the user community. This paper will introduce primary and specialized DAAC-specific methods for finding, ordering and using these data products. Special sections will focus on orienting users unfamiliar with DAAC resources, HDF-EOS formatted data and the use of desktop research and application tools.

Research in computer science

NASA Technical Reports Server (NTRS)

Ortega, J. M.

1985-01-01

Synopses are given for NASA supported work in computer science at the University of Virginia. Some areas of research include: error seeding as a testing method; knowledge representation for engineering design; analysis of faults in a multi-version software experiment; implementation of a parallel programming environment; two computer graphics systems for visualization of pressure distribution and convective density particles; task decomposition for multiple robot arms; vectorized incomplete conjugate gradient; and iterative methods for solving linear equations on the Flex/32.

Suborbital Science Program: Dryden Flight Research Center

NASA Technical Reports Server (NTRS)

DelFrate, John

2008-01-01

This viewgraph presentation reviews the suborbital science program at NASA Dryden Flight Research Center. The Program Objectives are given in various areas: (1) Satellite Calibration and Validation (Cal/val)--Provide methods to perform the cal/val requirements for Earth Observing System satellites; (2) New Sensor Development -- Provide methods to reduce risk for new sensor concepts and algorithm development prior to committing sensors to operations; (3) Process Studies -- Facilitate the acquisition of high spatial/temporal resolution focused measurements that are required to understand small atmospheric and surface structures which generate powerful Earth system effects; and (4) Airborne Networking -- Develop disruption-tolerant networking to enable integrated multiple scale measurements of critical environmental features. Dryden supports the NASA Airborne Science Program and the nation in several elements: ER-2, G-3, DC-8, Ikhana (Predator B) & Global Hawk and Reveal. These are reviewed in detail in the presentation.

Address the Major Societal Challenges

NASA Astrophysics Data System (ADS)

Laubichler, Manfred

In his famous historical account about the origins of molecular biology Gunther Stent introduced a three phase sequence that turns out to be characteristic for many newly emerging paradigms within science. New ideas, according to Stent, follow a sequence of romantic, dogmatic, and academic phases. One can easily see that complex systems science followed this path. The question now is whether we are in an extended academic phase of gradually expanding both theoretical and practical knowledge, or whether we are entering a new transformation of complex systems science that might well bring about a new romantic phase. I would argue that complexity science, indeed, is at the dawn of a new period - let's call it complexity 3.0. The last academic phase has seen the application of complex systems ideas and methods in a variety of different domains. It has been to a large extent business as usual...

[The brain-mind debate. Problems in the philosophy of science with regard to psychiatry].

PubMed

Tretter, F

2007-05-01

The present interdisciplinary brain-mind debate with regard to neurobiology shows deficits in the criticism of methods and in the precision of language and argumentation. Simplifying localisations of psychic functions, insufficient explanations and over-interpretations in the sense of physical determinism are the consequence. This can be demonstrated in deficits of neurobiological theories of volitional action. Therefore, the current concept of man is less perturbed than is proposed by neurobiologists. For psychiatry besides the neurobiological approach also a separate way of building models seems to be useful if present theoretical psychology and systems science would be regarded. In particular, the systems science of natural systems offers new opportunities to bridge gaps between disciplines involved in the brain-mind debate.

Increasing participation in the Earth sciences through engagement of K-12 educators in Earth system science analysis, inquiry and problem- based learning and teaching

NASA Astrophysics Data System (ADS)

Burrell, S.

2012-12-01

Given low course enrollment in geoscience courses, retention in undergraduate geoscience courses, and granting of BA and advanced degrees in the Earth sciences an effective strategy to increase participation in this field is necessary. In response, as K-12 education is a conduit to college education and the future workforce, Earth science education at the K-12 level was targeted with the development of teacher professional development around Earth system science, inquiry and problem-based learning. An NSF, NOAA and NASA funded effort through the Institute for Global Environmental Strategies led to the development of the Earth System Science Educational Alliance (ESSEA) and dissemination of interdisciplinary Earth science content modules accessible to the public and educators. These modules formed the basis for two teacher workshops, two graduate level courses for in-service teachers and two university course for undergraduate teacher candidates. Data from all three models will be presented with emphasis on the teacher workshop. Essential components of the workshop model include: teaching and modeling Earth system science analysis; teacher development of interdisciplinary, problem-based academic units for implementation in the classroom; teacher collaboration; daily workshop evaluations; classroom observations; follow-up collaborative meetings/think tanks; and the building of an on-line professional community for continued communication and exchange of best practices. Preliminary data indicate increased understanding of Earth system science, proficiency with Earth system science analysis, and renewed interest in innovative delivery of content amongst teachers. Teacher-participants reported increased student engagement in learning with the implementation of problem-based investigations in Earth science and Earth system science thinking in the classroom, however, increased enthusiasm of the teacher acted as a contributing factor. Teacher feedback on open-ended questionnaires about impact on students identify higher order thinking, critical evaluation of quantitative and qualitative information, cooperative learning, and engagement in STEM content through inquiry as core competencies of this educational method. This presentation will describe the program model and results from internal evaluation.

Scientists are from Mars, educators are from Venus: Relationships in the ecosystem of science teacher preparation

NASA Astrophysics Data System (ADS)

Duggan-Haas, Don Andrew

2000-10-01

Great problems exist in science teaching from kindergarten through the college level (NRC, 1996; NSF, 1996). The problem may be attributed to the failure of teachers to integrate their own understanding of science content with appropriate pedagogy (Shulman, 1986, 1987). All teachers were trained by college faculty and therefore some of the blame for these problems rests on those faculty. This dissertation presents three models for describing secondary science teacher preparation. Two Programs, Two Cultures adapts C. P. Snow's classic work (1959) to describe the work of a science teacher candidate as that of an individual who navigates between two discrete programs: one in college science and the second in teacher education. The second model, Scientists Are from Mars, Educators Are from Venus adapts the popular work of John Gray to describe the system of science teacher education as hobbled by the dysfunctional relationships among the major players and describes the teacher as progeny from this relationship. The third model, The Ecosystem of Science Teacher Preparation reveals some of the deeper complexities of science teacher education and posits that the traditional college science approach treats students as a monoculture when great diversity in fact exists. The three models are described in the context of a large Midwestern university's teacher education program as that program is construed for future biology teachers. Four undergraduate courses typically taken by future biology teachers were observed and described: an introductory biology course; an introductory teacher education course; an upper division course in biochemistry and a senior level science teaching methods course. Seven second semester seniors who were biological Science majors were interviewed. All seven students had taken all of the courses observed. An organization of scientists and educators working together to improve science teaching from kindergarten through graduate school is also described in a case study. The three models described in the dissertation build upon one another and the third model, that of the ecosystem is recognized as both the most accurate portrayal and most complex and therefore most difficult to apply. The system of science teacher preparation is in many ways a system under stress and that stress will result in system evolution. Through better understanding Complex Adaptive Systems and applying that understanding to the system of science teacher education, individuals may be able to influence the nature of system evolution.

Math and science illiteracy: Social and economic impacts

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

Williams, J.L.

1994-05-01

Today`s highly competitive global economy is being driven by increasingly rapid technological development. This paper explores the problems of math and science illiteracy in the United States and the potential impact on our economic survival in this environment during the next century. Established educational methods that reward task performance, emphasize passive lecture, and fail to demonstrate relevance to real life are partly to blame. Social norms, stereotypes, and race and gender bias also have an impact. To address this crisis, we need to question the philosophy of an educational system that values task over concept. Many schools have already initiatedmore » programs at all grade levels to make math and science learning more relevant, stimulating, and fun. Teaching methods that integrate math and science learning with teamwork, social context, and other academic subjects promote the development of higher-order thinking skills and help students see math and science as necessary skills.« less

Adaptive and Optimal Control of Stochastic Dynamical Systems

DTIC Science & Technology

2015-09-14

Advances in Statistics, Probability and Actuarial Sciences , Vol. 1, World Scientific, 2012, 451- 463. [4] T. E. Duncan and B. Pasik-Duncan, A...S. N. Cohen, T. K. Siu and H. Yang) Advances in Statistics, Probability and Actuarial Sciences , Vol. 1, World Scientific, 2012, 451-463. 4. T. E...games with gen- eral noise processes, Models and Methods in Economics and Management Science : Essays in Honor of Charles S. Tapiero, (eds. F. El

A Multi-Level Systems Perspective for the Science of Team Science

PubMed Central

Börner, Katy; Contractor, Noshir; Falk-Krzesinski, Holly J.; Fiore, Stephen M.; Hall, Kara L.; Keyton, Joann; Spring, Bonnie; Stokols, Daniel; Trochim, William; Uzzi, Brian

2012-01-01

This Commentary describes recent research progress and professional developments in the study of scientific teamwork, an area of inquiry termed the “science of team science” (SciTS, pronounced “sahyts”). It proposes a systems perspective that incorporates a mixed-methods approach to SciTS that is commensurate with the conceptual, methodological, and translational complexities addressed within the SciTS field. The theoretically grounded and practically useful framework is intended to integrate existing and future lines of SciTS research to facilitate the field’s evolution as it addresses key challenges spanning macro, meso, and micro levels of analysis. PMID:20844283

African Indigenous science in higher education in Uganda

NASA Astrophysics Data System (ADS)

Akena Adyanga, Francis

This study examines African Indigenous Science (AIS) in higher education in Uganda. To achieve this, I use anticolonial theory and Indigenous knowledge discursive frameworks to situate the subjugation of Indigenous science from the education system within a colonial historical context. These theories allow for a critical examination of the intersection of power relations rooted in the politics of knowledge production, validation, and dissemination, and how this process has become a systemic and complex method of subjugating one knowledge system over the other. I also employ qualitative and autoethnographic research methodologies. Using a qualitative research method, I interviewed 10 students and 10 professors from two universities in Uganda. My research was guided by the following key questions: What is African Indigenous Science? What methodology would help us to indigenize science education in Uganda? How can we work with Indigenous knowledge and anticolonial theoretical discursive frameworks to understand and challenge the dominance of Eurocentric knowledge in mainstream education? My research findings revealed that AIS can be defined in multiple ways, in other words, there is no universal definition of AIS. However, there were some common elements that my participants talked about such as: (a) knowledge by Indigenous communities developed over a long period of time through a trial and error approach to respond to the social, economic and political challenges of their society. The science practices are generational and synergistic with other disciplines such as history, spirituality, sociology, anthropology, geography, and trade among others, (b) a cumulative practice of the use, interactions with and of biotic and abiotic organism in everyday life for the continued existence of a community in its' totality. The research findings also indicate that Indigenous science is largely lacking from Uganda's education curriculum because of the influence of colonial and post-colonial education. Graduates of the colonial education system who are manning education in the country have themselves come to disdain Indigenous knowledge. The major findings from the study were: 1) participants' articulation of Indigenous science; 2) influence of organized religion on African Indigenous Science; 3) dominance of professors' foreign experiences in determining curriculum content; 4) protection of intellectual property rights for Indigenous science; and 5) collaborative research between Indigenous and Western scholars to enhance attitude change toward Indigenous science.

Entrepreneur environment management behavior evaluation method derived from environmental economy.

PubMed

Zhang, Lili; Hou, Xilin; Xi, Fengru

2013-12-01

Evaluation system can encourage and guide entrepreneurs, and impel them to perform well in environment management. An evaluation method based on advantage structure is established. It is used to analyze entrepreneur environment management behavior in China. Entrepreneur environment management behavior evaluation index system is constructed based on empirical research. Evaluation method of entrepreneurs is put forward, from the point of objective programming-theory to alert entrepreneurs concerned to think much of it, which means to take minimized objective function as comprehensive evaluation result and identify disadvantage structure pattern. Application research shows that overall behavior of Chinese entrepreneurs environmental management are good, specially, environment strategic behavior are best, environmental management behavior are second, cultural behavior ranks last. Application results show the efficiency and feasibility of this method. Copyright © 2013 The Research Centre for Eco-Environmental Sciences, Chinese Academy of Sciences. Published by Elsevier B.V. All rights reserved.

ICASE semiannual report, April 1 - September 30, 1989

NASA Technical Reports Server (NTRS)

1990-01-01

The Institute conducts unclassified basic research in applied mathematics, numerical analysis, and computer science in order to extend and improve problem-solving capabilities in science and engineering, particularly in aeronautics and space. The major categories of the current Institute for Computer Applications in Science and Engineering (ICASE) research program are: (1) numerical methods, with particular emphasis on the development and analysis of basic numerical algorithms; (2) control and parameter identification problems, with emphasis on effective numerical methods; (3) computational problems in engineering and the physical sciences, particularly fluid dynamics, acoustics, and structural analysis; and (4) computer systems and software, especially vector and parallel computers. ICASE reports are considered to be primarily preprints of manuscripts that have been submitted to appropriate research journals or that are to appear in conference proceedings.

Software Reuse Methods to Improve Technological Infrastructure for e-Science

NASA Technical Reports Server (NTRS)

Marshall, James J.; Downs, Robert R.; Mattmann, Chris A.

2011-01-01

Social computing has the potential to contribute to scientific research. Ongoing developments in information and communications technology improve capabilities for enabling scientific research, including research fostered by social computing capabilities. The recent emergence of e-Science practices has demonstrated the benefits from improvements in the technological infrastructure, or cyber-infrastructure, that has been developed to support science. Cloud computing is one example of this e-Science trend. Our own work in the area of software reuse offers methods that can be used to improve new technological development, including cloud computing capabilities, to support scientific research practices. In this paper, we focus on software reuse and its potential to contribute to the development and evaluation of information systems and related services designed to support new capabilities for conducting scientific research.

First principles statistical mechanics of alloys and magnetism

NASA Astrophysics Data System (ADS)

Eisenbach, Markus; Khan, Suffian N.; Li, Ying Wai

Modern high performance computing resources are enabling the exploration of the statistical physics of phase spaces with increasing size and higher fidelity of the Hamiltonian of the systems. For selected systems, this now allows the combination of Density Functional based first principles calculations with classical Monte Carlo methods for parameter free, predictive thermodynamics of materials. We combine our locally selfconsistent real space multiple scattering method for solving the Kohn-Sham equation with Wang-Landau Monte-Carlo calculations (WL-LSMS). In the past we have applied this method to the calculation of Curie temperatures in magnetic materials. Here we will present direct calculations of the chemical order - disorder transitions in alloys. We present our calculated transition temperature for the chemical ordering in CuZn and the temperature dependence of the short-range order parameter and specific heat. Finally we will present the extension of the WL-LSMS method to magnetic alloys, thus allowing the investigation of the interplay of magnetism, structure and chemical order in ferrous alloys. This research was supported by the U.S. Department of Energy, Office of Science, Basic Energy Sciences, Materials Science and Engineering Division and it used Oak Ridge Leadership Computing Facility resources at Oak Ridge National Laboratory.

Teaching Optics with an Intra-Curricular Kit Designed for Inquiry-Based Learning

ERIC Educational Resources Information Center

Cords, Nina; Fischer, Robert; Euler, Manfred; Prasad, Amrita

2012-01-01

In order to increase scientific literacy and the knowledge of science and technology of Europe's citizens, the European Commission suggests a more student-centred implementation of natural sciences in education systems. Inquiry-based learning (IBL) is not only an accepted method to promote students' interest and motivation, it also helps students…

Factors influencing the results of faculty evaluation in Isfahan University of Medical Sciences

PubMed Central

Kamali, Farahnaz; Yamani, Nikoo; Changiz, Tahereh; Zoubin, Fatemeh

2018-01-01

OBJECTIVE: This study aimed to explore factors influencing the results of faculty member evaluation from the viewpoints of faculty members affiliated with Isfahan University of Medical Sciences, Isfahan, Iran. MATERIALS AND METHODS: This qualitative study was done using a conventional content analysis method. Participants were faculty members of Isfahan University of Medical Sciences who, considering maximum variation in sampling, were chosen with a purposive sampling method. Semi-structured interviews were held with 11 faculty members until data saturation was reached. The interviews were transcribed verbatim and analyzed with conventional content analysis method for theme development. Further, the MAXQDA software was used for data management. RESULTS: The data analysis led to the development of two main themes, namely, “characteristics of the educational system” and “characteristics of the faculty member evaluation system.” The first main theme consists of three categories, i.e. “characteristics of influential people in evaluation,” “features of the courses,” and “background characteristics.” The other theme has the following as its categories: “evaluation methods,” “evaluation tools,” “evaluation process,” and “application of evaluation results.” Each category will have its subcategories. CONCLUSIONS: Many factors affect the evaluation of faculty members that should be taken into account by educational policymakers for improving the quality of the educational process. In addition to the factors that directly influence the educational system, methodological problems in the evaluation system need special attention. PMID:29417073

First-principles studiesy of the order-disorder phase transition in FeCo using Wang-Landau Monte-Carlo method

NASA Astrophysics Data System (ADS)

Pei, Zongrui; Eisenbach, Markus; Stocks, G. Malcolm

Simulating order-disorder phase transitions in magnetic materials requires the accurate treatment of both the atomic and magnetic interactions, which span a vast configuration space. Using FeCo as a prototype system, we demonstrate that this can be addressed by combining the Locally Self-consistent Multiple Scattering (LSMS) method with the Wang-Landau (WL) Monte-Carlo algorithm. Fe-Co based materials are interesting magnetic materials but a reliable phase diagram of the binary Fe-Co system is still difficult to obtain. Using the combined WL-LSMS method we clarify the existence of the disordered A2 phase and predict the Curie temperature between it and the ordered B2 phase. The WL-LSMS method is readily applicable to the study of second-order phase transitions in other binary and multi-component alloys, thereby providing a means to the direct simulation of order-disorder phase transitions in complex alloys without need of intervening classical model Hamiltonians. We also demonstrate the capability of our method to guide the design of new magnetic materials. This research was supported by the U.S. Department of Energy, Office of Science, Basic Energy Sciences, Materials Science and Engineering Division and it used Oak Ridge Leadership Computing Facility resources at Oak Ridge National Laboratory.

Sliding Mode Control of Fractional-Order Delayed Memristive Chaotic System with Uncertainty and Disturbance

NASA Astrophysics Data System (ADS)

Ding, Da-Wei; Liu, Fang-Fang; Chen, Hui; Wang, Nian; Liang, Dong

2017-12-01

In this paper, a simplest fractional-order delayed memristive chaotic system is proposed in order to control the chaos behaviors via sliding mode control strategy. Firstly, we design a sliding mode control strategy for the fractional-order system with time delay to make the states of the system asymptotically stable. Then, we obtain theoretical analysis results of the control method using Lyapunov stability theorem which guarantees the asymptotic stability of the non-commensurate order and commensurate order system with and without uncertainty and an external disturbance. Finally, numerical simulations are given to verify that the proposed sliding mode control method can eliminate chaos and stabilize the fractional-order delayed memristive system in a finite time. Supported by the National Nature Science Foundation of China under Grant No. 61201227, Funding of China Scholarship Council, the Natural Science Foundation of Anhui Province under Grant No. 1208085M F93, 211 Innovation Team of Anhui University under Grant Nos. KJTD007A and KJTD001B

The Magnetospheric Multiscale (MMS) Mission Science Data Center: Technologies, Methods, and Experiences in Making Available Large Quantities of Science Data

NASA Astrophysics Data System (ADS)

Pankratz, C. K.; Kokkonen, K.; Larsen, K. W.; Panneton, R. S.; Putnam, B.; Schafer, C.; Baker, D. N.; Burch, J. L.

2016-12-01

On September 1, 2015 the Magnetospheric MultiScale (MMS) constellation of four satellites completed their six-month commissioning period and began routine science data collection. Science operations for the mission is conducted at the Science Operations Center (SOC) at the Laboratory for Atmospheric and Space Physics, University of Colorado in Boulder, Colorado, USA. The MMS Science Data Center (SDC) is a component of the SOC responsible for the data production, management, dissemination, archiving, and visualization of the data from the extensive suite of 100 instruments onboard the four spacecraft. As of March 2016, MMS science data are openly available to the entire science community via the SDC. This includes hundreds of science parameters, and 50 gigabytes of data per day distributed across thousands of data files. Products are produced using integrated software systems developed and maintained by teams at other institutions using their own institutional software management procedures and made available via a centralized public web site and web services. To accomplish the data management, data processing, and system integration challenges present on this space mission, the MMS SDC incorporates a number of evolutionary techniques and technologies. This presentation will provide an informatics-oriented view of the MMS SDC, summarizing its technical aspects, novel technologies and data management practices that are employed, experiences with its design and development, and lessons learned. Also presented is the MMS "Scientist-in-the-Loop" (SITL) system, which is used to leverage human insight and expertise to optimize the data selected for transmission to the ground. This smoothly operating system entails the seamless interoperability of multiple mission facilities and data systems that ultimately translate scientist insight into uplink commands that triggers optimal data downlink to the ground.

A surety engineering framework to reduce cognitive systems risks.

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

Caudell, Thomas P.; Peercy, David Eugene; Caldera, Eva O.

Cognitive science research investigates the advancement of human cognition and neuroscience capabilities. Addressing risks associated with these advancements can counter potential program failures, legal and ethical issues, constraints to scientific research, and product vulnerabilities. Survey results, focus group discussions, cognitive science experts, and surety researchers concur technical risks exist that could impact cognitive science research in areas such as medicine, privacy, human enhancement, law and policy, military applications, and national security (SAND2006-6895). This SAND report documents a surety engineering framework and a process for identifying cognitive system technical, ethical, legal and societal risks and applying appropriate surety methods to reducemore » such risks. The framework consists of several models: Specification, Design, Evaluation, Risk, and Maturity. Two detailed case studies are included to illustrate the use of the process and framework. Several Appendices provide detailed information on existing cognitive system architectures; ethical, legal, and societal risk research; surety methods and technologies; and educing information research with a case study vignette. The process and framework provide a model for how cognitive systems research and full-scale product development can apply surety engineering to reduce perceived and actual risks.« less

Knowledge Discovery from Climate Data using Graph-Based Methods

NASA Astrophysics Data System (ADS)

Steinhaeuser, K.

2012-04-01

Climate and Earth sciences have recently experienced a rapid transformation from a historically data-poor to a data-rich environment, thus bringing them into the realm of the Fourth Paradigm of scientific discovery - a term coined by the late Jim Gray (Hey et al. 2009), the other three being theory, experimentation and computer simulation. In particular, climate-related observations from remote sensors on satellites and weather radars, in situ sensors and sensor networks, as well as outputs of climate or Earth system models from large-scale simulations, provide terabytes of spatio-temporal data. These massive and information-rich datasets offer a significant opportunity for advancing climate science and our understanding of the global climate system, yet current analysis techniques are not able to fully realize their potential benefits. We describe a class of computational approaches, specifically from the data mining and machine learning domains, which may be novel to the climate science domain and can assist in the analysis process. Computer scientists have developed spatial and spatio-temporal analysis techniques for a number of years now, and many of them may be applicable and/or adaptable to problems in climate science. We describe a large-scale, NSF-funded project aimed at addressing climate science question using computational analysis methods; team members include computer scientists, statisticians, and climate scientists from various backgrounds. One of the major thrusts is in the development of graph-based methods, and several illustrative examples of recent work in this area will be presented.

Mission Systems Open Architecture Science and Technology (MOAST) program

NASA Astrophysics Data System (ADS)

Littlejohn, Kenneth; Rajabian-Schwart, Vahid; Kovach, Nicholas; Satterthwaite, Charles P.

2017-04-01

The Mission Systems Open Architecture Science and Technology (MOAST) program is an AFRL effort that is developing and demonstrating Open System Architecture (OSA) component prototypes, along with methods and tools, to strategically evolve current OSA standards and technical approaches, promote affordable capability evolution, reduce integration risk, and address emerging challenges [1]. Within the context of open architectures, the program is conducting advanced research and concept development in the following areas: (1) Evolution of standards; (2) Cyber-Resiliency; (3) Emerging Concepts and Technologies; (4) Risk Reduction Studies and Experimentation; and (5) Advanced Technology Demonstrations. Current research includes the development of methods, tools, and techniques to characterize the performance of OMS data interconnection methods for representative mission system applications. Of particular interest are the OMS Critical Abstraction Layer (CAL), the Avionics Service Bus (ASB), and the Bulk Data Transfer interconnects, as well as to develop and demonstrate cybersecurity countermeasures techniques to detect and mitigate cyberattacks against open architecture based mission systems and ensure continued mission operations. Focus is on cybersecurity techniques that augment traditional cybersecurity controls and those currently defined within the Open Mission System and UCI standards. AFRL is also developing code generation tools and simulation tools to support evaluation and experimentation of OSA-compliant implementations.

The development of a consensus definition for healthcare improvement science (HIS) in seven European countries: A consensus methods approach.

PubMed

Skela-Savič, Brigita; Macrae, Rhoda; Lillo-Crespo, Manuel; Rooney, Kevin D

2017-06-01

There is a limited body of research in the field of healthcare improvement science (HIS). Quality improvement and 'change making' should become an intrinsic part of everyone's job, every day in all parts of the healthcare system. The lack of theoretical grounding may partly explain the minimal transfer of health research into health policy. This article seeks to present the development of the definition for healthcare improvement science. A consensus method approach was adopted with a two-stage Delphi process, expert panel and consensus group techniques. A total of 18 participants were involved in the expert panel and consensus group, and 153 answers were analysed as a part of the Delphi survey. Participants were researchers, educators and healthcare professionals from Scotland, Slovenia, Spain, Italy, England, Poland, and Romania. A high level of consensus was achieved for the broad definition in the 2nd Delphi iteration (86%). The final definition was agreed on by the consensus group: 'Healthcare improvement science is the generation of knowledge to cultivate change and deliver person-centred care that is safe, effective, efficient, equitable and timely. It improves patient outcomes, health system performance and population health.' The process of developing a consensus definition revealed different understandings of healthcare improvement science between the participants. Having a shared consensus definition of healthcare improvement science is an important step forward, bringing about a common understanding in order to advance the professional education and practice of healthcare improvement science.

Translations on USSR Science and Technology, Physical Sciences and Technology, Number 15

DTIC Science & Technology

1977-07-26

systems which they de - veloped and introduced. Over 8,000 Azneft’ oil wells are equipped with these automated systems. But, this equipment is...validity of informacion received in this manner and they are inclined to obtain it the old way. Drive over, take a look-- and that’s the entire method...TiT^^T de ^ermlned by the reactive parameters of the circuit and the diode is hundredths of a nanosecond for the microwave switches. The switching

Method for determiantion of the frequency-contrast characteristics of electronic-optic systems

NASA Astrophysics Data System (ADS)

Mardirossian, Garo; Zhekov, Zhivko

The frequency-contrast characteristics is an important criterion to judge the quality of electronic-optic systems, which boast an increasing application in space research, astronomy, martial art etc. The paper provides a brief description of the methods for determining the frequency-contrast characteristics of optic systems, developed at the Space Research Institute of the Bulgarian Academy of Science. The suggested methods have been used to develop a couple of electronic-optic systems participated in the designed ground-based and aerospace scientific-research equipment. Based on the obtained practical results, the conclusion was made that the methods provide to obtain sufficiently precise data, which coincide well with the results, obtained when using other methods.

Integrating Science Content and Pedagogy in the Earth, Life, and Physical Sciences: A K-8 Pre-Service Teacher Preparation Continuum at the University of Delaware

NASA Astrophysics Data System (ADS)

Madsen, J.; Allen, D.; Donham, R.; Fifield, S.; Ford, D.; Shipman, H.; Dagher, Z.

2007-12-01

University of Delaware faculty in the geological sciences, biological sciences, and the physics and astronomy departments have partnered with faculty and researchers from the school of education to form a continuum for K- 8 pre-service teacher preparation in science. The goal of the continuum is to develop integrated understandings of content and pedagogy so that these future teachers can effectively use inquiry-based approaches in teaching science in their classrooms. Throughout the continuum where earth science content appears an earth system science approach, with emphasis on inquiry-based activities, is employed. The continuum for K-8 pre-service teachers includes a gateway content course in the earth, life, or physical sciences taken during the freshman year followed by integrated science content and methods courses taken during the sophomore year. These integrated courses, called the Science Semester, were designed and implemented with funding from the National Science Foundation. During the Science Semester, traditional content and pedagogy subject matter boundaries are crossed to stress shared themes that teachers must understand to teach standards-based science. Students work collaboratively on multidisciplinary problem-based learning (PBL) activities that place science concepts in authentic contexts and build learning skills. They also critically explore the theory and practice of elementary science teaching, drawing on their shared experiences of inquiry learning during the Science Semester. The PBL activities that are the hallmark of the Science Semester provide the backdrop through which fundamental earth system interactions can be studied. For example in a PBL investigation that focuses on kids, cancer, and the environment, the hydrologic cycle with emphasis on surface runoff and ground water contamination is studied. Those students seeking secondary certification in science will enroll, as a bridge toward their student teaching experience, in an additional content course within a science discipline that is concurrently taught with a science methods course. Emphasizing inquiry-based activities, these bridge courses also focus on developing integrated understandings of the sciences. The continuum extends beyond the student teaching experience by tracking cohorts of science teachers during their in-service years. With funding from the National Science Foundation's Teacher Professional Continuum program, we are conducting research on this inquiry-based professional development approach for K-8 teachers across this continuum.

Restoration of neurological functions by neuroprosthetic technologies: future prospects and trends towards micro-, nano-, and biohybrid systems.

PubMed

Stieglitz, T

2007-01-01

Today applications of neural prostheses that successfully help patients to increase their activities of daily living and participate in social life again are quite simple implants that yield definite tissue response and are well recognized as foreign body. Latest developments in genetic engineering, nanotechnologies and materials sciences have paved the way to new scenarios towards highly complex systems to interface the human nervous system. Combinations of neural cells with microimplants promise stable biohybrid interfaces. Nanotechnology opens the door to macromolecular landscapes on implants that mimic the biologic topology and surface interaction of biologic cells. Computer sciences dream of technical cognitive systems that act and react due to knowledge-based conclusion mechanisms to a changing or adaptive environment. Different sciences start to interact and discuss the synergies when methods and paradigms from biology, computer sciences and engineering, neurosciences, psychology will be combined. They envision the era of "converging technologies" to completely change the understanding of science and postulate a new vision of humans. In this chapter, these research lines will be discussed on some examples as well as the societal implications and ethical questions that arise from these new opportunities.

Computational perspectives in the history of science: to the memory of Peter Damerow.

PubMed

Laubichler, Manfred D; Maienschein, Jane; Renn, Jürgen

2013-03-01

Computational methods and perspectives can transform the history of science by enabling the pursuit of novel types of questions, dramatically expanding the scale of analysis (geographically and temporally), and offering novel forms of publication that greatly enhance access and transparency. This essay presents a brief summary of a computational research system for the history of science, discussing its implications for research, education, and publication practices and its connections to the open-access movement and similar transformations in the natural and social sciences that emphasize big data. It also argues that computational approaches help to reconnect the history of science to individual scientific disciplines.

Language Networks as Complex Systems

ERIC Educational Resources Information Center

Lee, Max Kueiming; Ou, Sheue-Jen

2008-01-01

Starting in the late eighties, with a growing discontent with analytical methods in science and the growing power of computers, researchers began to study complex systems such as living organisms, evolution of genes, biological systems, brain neural networks, epidemics, ecology, economy, social networks, etc. In the early nineties, the research…

Enhancing implementation science by applying best principles of systems science.

PubMed

Northridge, Mary E; Metcalf, Sara S

2016-10-04

Implementation science holds promise for better ensuring that research is translated into evidence-based policy and practice, but interventions often fail or even worsen the problems they are intended to solve due to a lack of understanding of real world structures and dynamic complexity. While systems science alone cannot possibly solve the major challenges in public health, systems-based approaches may contribute to changing the language and methods for conceptualising and acting within complex systems. The overarching goal of this paper is to improve the modelling used in dissemination and implementation research by applying best principles of systems science. Best principles, as distinct from the more customary term 'best practices', are used to underscore the need to extract the core issues from the context in which they are embedded in order to better ensure that they are transferable across settings. Toward meaningfully grappling with the complex and challenging problems faced in adopting and integrating evidence-based health interventions and changing practice patterns within specific settings, we propose and illustrate four best principles derived from our systems science experience: (1) model the problem, not the system; (2) pay attention to what is important, not just what is quantifiable; (3) leverage the utility of models as boundary objects; and (4) adopt a portfolio approach to model building. To improve our mental models of the real world, system scientists have created methodologies such as system dynamics, agent-based modelling, geographic information science and social network simulation. To understand dynamic complexity, we need the ability to simulate. Otherwise, our understanding will be limited. The practice of dynamic systems modelling, as discussed herein, is the art and science of linking system structure to behaviour for the purpose of changing structure to improve behaviour. A useful computer model creates a knowledge repository and a virtual library for internally consistent exploration of alternative assumptions. Among the benefits of systems modelling are iterative practice, participatory potential and possibility thinking. We trust that the best principles proposed here will resonate with implementation scientists; applying them to the modelling process may abet the translation of research into effective policy and practice.

Getting the big picture in community science: methods that capture context.

PubMed

Luke, Douglas A

2005-06-01

Community science has a rich tradition of using theories and research designs that are consistent with its core value of contextualism. However, a survey of empirical articles published in the American Journal of Community Psychology shows that community scientists utilize a narrow range of statistical tools that are not well suited to assess contextual data. Multilevel modeling, geographic information systems (GIS), social network analysis, and cluster analysis are recommended as useful tools to address contextual questions in community science. An argument for increased methodological consilience is presented, where community scientists are encouraged to adopt statistical methodology that is capable of modeling a greater proportion of the data than is typical with traditional methods.

PREFACE: MARINE AND COASTAL APPLICATIONS IN LANDSCAPE ECOLOGY

EPA Science Inventory

Landscape ecology traditionally has been limited to the study of terrestrial systems; however, the questions and methods defining the science are equally relevant for marine and coastal systems. The reciprocal relationship between spatial pattern and ecological processes and the...

Beyond the Flipped Classroom: A Highly Interactive Cloud-Classroom (HIC) Embedded into Basic Materials Science Courses

ERIC Educational Resources Information Center

Liou, Wei-Kai; Bhagat, Kaushal Kumar; Chang, Chun-Yen

2016-01-01

The present study compares the highly interactive cloud-classroom (HIC) system with traditional methods of teaching materials science that utilize crystal structure picture or real crystal structure model, in order to examine its learning effectiveness across three dimensions: knowledge, comprehension and application. The aim of this study was to…

"I'm the Same Teacher": The Attitudes of Science and Computer Literacy Teachers Regarding Integrating ICT in Instruction to Advance Meaningful Learning

ERIC Educational Resources Information Center

Steiner, Dasi; Mendelovitch, Miriam

2017-01-01

The communications revolution reaches all sectors of the population and makes information accessible to all. This development presents complex challenges which require changes in the education system, teaching methods and learning environment. The integration of ICT (Information and Communications Technology) and science teaching requires…

Ultra-short wavelength x-ray system

DOEpatents

Umstadter, Donald [Ann Arbor, MI; He, Fei [Ann Arbor, MI; Lau, Yue-Ying [Potomac, MD

2008-01-22

A method and apparatus to generate a beam of coherent light including x-rays or XUV by colliding a high-intensity laser pulse with an electron beam that is accelerated by a synchronized laser pulse. Applications include x-ray and EUV lithography, protein structural analysis, plasma diagnostics, x-ray diffraction, crack analysis, non-destructive testing, surface science and ultrafast science.

"Earth, Sun and Moon": Computer Assisted Instruction in Secondary School Science--Achievement and Attitudes

ERIC Educational Resources Information Center

Ercan, Orhan; Bilen, Kadir; Ural, Evrim

2016-01-01

This study investigated the impact of a web-based teaching method on students' academic achievement and attitudes in the elementary education fifth grade Science and Technology unit, "System of Earth, Sun and Moon". The study was a quasi-experimental study with experimental and control groups comprising 54 fifth grade students attending…

Mixed-Initiative Activity Planning for Mars Rovers

NASA Technical Reports Server (NTRS)

Bresina, John; Jonsson, Ari; Morris, Paul; Rajan, Kanna

2005-01-01

One of the ground tools used to operate the Mars Exploration Rovers is a mixed-initiative planning system called MAPGEN. The role of the system is to assist operators building daily plans for each of the rovers, maximizing science return, while maintaining rover safety and abiding by science and engineering constraints. In this paper, we describe the MAPGEN system, focusing on the mixed-initiative planning aspect. We note important challenges, both in terms of human interaction and in terms of automated reasoning requirements. We then describe the approaches taken in MAPGEN, focusing on the novel methods developed by our team.

A Comparative Framework for Studying the Histories of the Humanities and Science.

PubMed

Bod, Rens

2015-06-01

While the humanities and the sciences have a closely connected history, there are no general histories that bring the two fields together on an equal footing. This paper argues that there is a level at which some humanistic and scientific disciplines can be brought under a common denominator and compared. This is at the level of underlying methods, especially at the level of formalisms and rule systems used by different disciplines. The essay formally compares linguistics and computer science by noting that the same grammar formalism was used in the 1950s for describing both human and. programming languages. Additionally, it examines the influence of philology on molecular biology, and vice versa, by recognizing that the tree-formalism and rule system used for text reconstruction was also employed in DNA genetics. It also shows that rule systems for source criticism in history are used in forensic science, evidence-based medicine, and jurisprudence. This paper thus opens up a new comparative approach within which the histories of the humanities and the sciences can be examined on a common level.

Digital Stratigraphy: Contextual Analysis of File System Traces in Forensic Science.

PubMed

Casey, Eoghan

2017-12-28

This work introduces novel methods for conducting forensic analysis of file allocation traces, collectively called digital stratigraphy. These in-depth forensic analysis methods can provide insight into the origin, composition, distribution, and time frame of strata within storage media. Using case examples and empirical studies, this paper illuminates the successes, challenges, and limitations of digital stratigraphy. This study also shows how understanding file allocation methods can provide insight into concealment activities and how real-world computer usage can complicate digital stratigraphy. Furthermore, this work explains how forensic analysts have misinterpreted traces of normal file system behavior as indications of concealment activities. This work raises awareness of the value of taking the overall context into account when analyzing file system traces. This work calls for further research in this area and for forensic tools to provide necessary information for such contextual analysis, such as highlighting mass deletion, mass copying, and potential backdating. © 2017 American Academy of Forensic Sciences.

Europa Explorer Operational Scenarios Development

NASA Technical Reports Server (NTRS)

Lock, Robert E.; Pappalardo, Robert T.; Clark, Karla B.

2008-01-01

In 2007, NASA conducted four advanced mission concept studies for outer planets targets: Europa, Ganymede, Titan and Enceladus. The studies were conducted in close cooperation with the planetary science community. Of the four, the Europa Explorer Concept Study focused on refining mission options, science trades and implementation details for a potential flagship mission to Europa in the 2015 timeframe. A science definition team (SDT) was appointed by NASA to guide the study. A JPL-led engineering team worked closely with the science team to address 3 major focus areas: 1) credible cost estimates, 2) rationale and logical discussion of radiation risk and mitigation approaches, and 3) better definition and exploration of science operational scenario trade space. This paper will address the methods and results of the collaborative process used to develop Europa Explorer operations scenarios. Working in concert with the SDT, and in parallel with the SDT's development of a science value matrix, key mission capabilities and constraints were challenged by the science and engineering members of the team. Science goals were advanced and options were considered for observation scenarios. Data collection and return strategies were tested via simulation, and mission performance was estimated and balanced with flight and ground system resources and science priorities. The key to this successful collaboration was a concurrent development environment in which all stakeholders could rapidly assess the feasibility of strategies for their success in the full system context. Issues of science and instrument compatibility, system constraints, and mission opportunities were treated analytically and objectively leading to complementary strategies for observation and data return. Current plans are that this approach, as part of the system engineering process, will continue as the Europa Explorer Concept Study moves toward becoming a development project.

Geospatial decision support systems for societal decision making

USGS Publications Warehouse

Bernknopf, R.L.

2005-01-01

While science provides reliable information to describe and understand the earth and its natural processes, it can contribute more. There are many important societal issues in which scientific information can play a critical role. Science can add greatly to policy and management decisions to minimize loss of life and property from natural and man-made disasters, to manage water, biological, energy, and mineral resources, and in general, to enhance and protect our quality of life. However, the link between science and decision-making is often complicated and imperfect. Technical language and methods surround scientific research and the dissemination of its results. Scientific investigations often are conducted under different conditions, with different spatial boundaries, and in different timeframes than those needed to support specific policy and societal decisions. Uncertainty is not uniformly reported in scientific investigations. If society does not know that data exist, what the data mean, where to use the data, or how to include uncertainty when a decision has to be made, then science gets left out -or misused- in a decision making process. This paper is about using Geospatial Decision Support Systems (GDSS) for quantitative policy analysis. Integrated natural -social science methods and tools in a Geographic Information System that respond to decision-making needs can be used to close the gap between science and society. The GDSS has been developed so that nonscientists can pose "what if" scenarios to evaluate hypothetical outcomes of policy and management choices. In this approach decision makers can evaluate the financial and geographic distribution of potential policy options and their societal implications. Actions, based on scientific information, can be taken to mitigate hazards, protect our air and water quality, preserve the planet's biodiversity, promote balanced land use planning, and judiciously exploit natural resources. Applications using the GDSS have demonstrated the benefits of utilizing science for policy decisions. Investment in science reduces decision-making uncertainty and reducing that uncertainty has economic value.

Dynamic Learning Style Prediction Method Based on a Pattern Recognition Technique

ERIC Educational Resources Information Center

Yang, Juan; Huang, Zhi Xing; Gao, Yue Xiang; Liu, Hong Tao

2014-01-01

During the past decade, personalized e-learning systems and adaptive educational hypermedia systems have attracted much attention from researchers in the fields of computer science Aand education. The integration of learning styles into an intelligent system is a possible solution to the problems of "learning deviation" and…

A Reference and Referral System Using Expert System Techniques.

ERIC Educational Resources Information Center

Vickery, Alina; And Others

1987-01-01

Describes PLEXUS, an expert system for information retrieval related to gardening, designed at the University of London for use in public libraries. Focusing on the semantic problems encountered, methods used in artificial intelligence and information science to resolve them are discussed, including classification and facet analysis. (Author/LRW)

Systems Engineering of Education I: The Evolution of Systems Thinking in Education, 2nd Edition.

ERIC Educational Resources Information Center

Silvern, Leonard C.

This document methodically traces the development of the fundamental concepts of systems thinking in education from Harbert to contemporary innovators. The discussion explains narrative models, concentrating on educational flowcharting techniques and mathematical models related to developments in engineering and physical science. The presentation…

The Magnetospheric Multiscale (MMS) Mission Science Data Center: Technologies, Methods, and Experiences in Making Available Large Volumes of In-Situ Particle and Field Data

NASA Astrophysics Data System (ADS)

Pankratz, Christopher; Kokkonen, Kim; Larsen, Kristopher; Panneton, Russell; Putnam, Brian; Schafer, Corey; Baker, Daniel; Burch, James

2016-04-01

On September 1, 2015 the Magnetospheric MultiScale (MMS) constellation of four satellites completed their six-month commissioning period and began routine science data collection. Science operations for the mission is conducted at the Science Operations Center (SOC) at the Laboratory for Atmospheric and Space Physics, University of Colorado in Boulder, Colorado, USA. The MMS Science Data Center (SDC) is a component of the SOC responsible for the data production, management, dissemination, archiving, and visualization of the data from the extensive suite of 100 instruments onboard the four spacecraft. As of March 2016, MMS science data are openly available to the entire science community via the SDC. This includes hundreds of science parameters, and 50 gigabytes of data per day distributed across thousands of data files. Products are produced using integrated software systems developed and maintained by teams at other institutions using their own institutional software management procedures and made available via a centralized public web site and web services. To accomplish the data management, data processing, and system integration challenges present on this space mission, the MMS SDC incorporates a number of evolutionary techniques and technologies. This presentation will provide an informatics-oriented view of the MMS SDC, summarizing its technical aspects, novel technologies and data management practices that are employed, experiences with its design and development, and lessons learned. Also presented is the MMS "Scientist-in-the-Loop" (SITL) system, which is used to leverage human insight and expertise to optimize the data selected for transmission to the ground. This smoothly operating system entails the seamless interoperability of multiple mission facilities and data systems that ultimately translate scientist insight into uplink commands that triggers optimal data downlink to the ground.

Statistical mechanics of complex neural systems and high dimensional data

NASA Astrophysics Data System (ADS)

Advani, Madhu; Lahiri, Subhaneil; Ganguli, Surya

2013-03-01

Recent experimental advances in neuroscience have opened new vistas into the immense complexity of neuronal networks. This proliferation of data challenges us on two parallel fronts. First, how can we form adequate theoretical frameworks for understanding how dynamical network processes cooperate across widely disparate spatiotemporal scales to solve important computational problems? Second, how can we extract meaningful models of neuronal systems from high dimensional datasets? To aid in these challenges, we give a pedagogical review of a collection of ideas and theoretical methods arising at the intersection of statistical physics, computer science and neurobiology. We introduce the interrelated replica and cavity methods, which originated in statistical physics as powerful ways to quantitatively analyze large highly heterogeneous systems of many interacting degrees of freedom. We also introduce the closely related notion of message passing in graphical models, which originated in computer science as a distributed algorithm capable of solving large inference and optimization problems involving many coupled variables. We then show how both the statistical physics and computer science perspectives can be applied in a wide diversity of contexts to problems arising in theoretical neuroscience and data analysis. Along the way we discuss spin glasses, learning theory, illusions of structure in noise, random matrices, dimensionality reduction and compressed sensing, all within the unified formalism of the replica method. Moreover, we review recent conceptual connections between message passing in graphical models, and neural computation and learning. Overall, these ideas illustrate how statistical physics and computer science might provide a lens through which we can uncover emergent computational functions buried deep within the dynamical complexities of neuronal networks.

Systems approaches for chronic disease prevention: sound logic and empirical evidence, but is this view shared outside of academia?

PubMed

Wutzke, Sonia; Morrice, Emily; Benton, Murray; Wilson, Andrew

2016-07-15

There is a need and desire to improve chronic disease prevention efforts across Australia. Increasingly, scientists are urging the use of systems thinking and its methods to significantly shift the way we think about, and intervene in, chronic diseases. This research aimed to examine the convergence between the systems science literature and the views of those working in and advocating for prevention, in relation to the value of systems thinking and its methods for the prevention of chronic diseases. Individual and small-group semistructured interviews were undertaken with 29 individuals across Australia. The interviewees reflected a diverse cross-section of senior public health managers and program implementation staff from state and territory health departments, and senior thought leaders and public health advocates. Interviews were audio recorded and coded into key themes. Feedback from informants illustrated that, among those working in and advocating for prevention, there is a mix of support for systems thinking for chronic disease prevention, and some healthy scepticism. The lack of consistent confluence between those promoting the value of systems science, and those responsible for working in and advocating for prevention indicates a level of confusion about language and definitions. It also reflects a desire for published evidence about systems methods that have proven effectiveness. Systems thinking and its methods have a promising and important role to play in creating a robust, effective and sustainable strategy for prevention of chronic diseases throughout Australia. However, the method requires further development and refinement, and promotion of case studies of effectiveness. We also need to heed lessons learnt overseas.

Learning science through talking science in elementary classroom

NASA Astrophysics Data System (ADS)

Tank, Kristina Maruyama; Coffino, Kara

2014-03-01

Elementary students in grade two make sense of science ideas and knowledge through their contextual experiences. Mattis Lundin and Britt Jakobson find in their research that early grade students have sophisticated understandings of human anatomy and physiology. In order to understand what students' know about human body and various systems, both drawings and spoken responses provide rich evidence of their understanding of the connections between science drawings and verbal explanations. In this forum contribution, we present several theoretical connections between everyday language and science communication and argue that building communication skills in science are essential. We also discuss how young participants should be valued and supported in research. Finally we discuss the need for multimodal research methods when the research participants are young.

Development of the Learning Health System Researcher Core Competencies.

PubMed

Forrest, Christopher B; Chesley, Francis D; Tregear, Michelle L; Mistry, Kamila B

2017-08-04

To develop core competencies for learning health system (LHS) researchers to guide the development of training programs. Data were obtained from literature review, expert interviews, a modified Delphi process, and consensus development meetings. The competencies were developed from August to December 2016 using qualitative methods. The literature review formed the basis for the initial draft of a competency domain framework. Key informant semi-structured interviews, a modified Delphi survey, and three expert panel (n = 19 members) consensus development meetings produced the final set of competencies. The iterative development process yielded seven competency domains: (1) systems science; (2) research questions and standards of scientific evidence; (3) research methods; (4) informatics; (5) ethics of research and implementation in health systems; (6) improvement and implementation science; and (7) engagement, leadership, and research management. A total of 33 core competencies were prioritized across these seven domains. The real-world milieu of LHS research, the embeddedness of the researcher within the health system, and engagement of stakeholders are distinguishing characteristics of this emerging field. The LHS researcher core competencies can be used to guide the development of learning objectives, evaluation methods, and curricula for training programs. © Health Research and Educational Trust.

Research Methodologies Explored for a Paradigm Shift in University Teaching.

ERIC Educational Resources Information Center

Venter, I. M.; Blignaut, R. J.; Stoltz, D.

2001-01-01

Innovative teaching methods such as collaborative learning, teamwork, and mind maps were introduced to teach computer science and statistics courses at a South African university. Soft systems methodology was adapted and used to manage the research process of evaluating the effectiveness of the teaching methods. This research method provided proof…

Particle Size Influence on the Effective Permeability of Composite Materials

NASA Astrophysics Data System (ADS)

Xiang, Tai; Zhong, Ru-Neng; Yao, Bin; Qin, Shao-Jing; Zheng, Qin-Hong

2018-05-01

The energy method, which estimates the effective permeability of composite material is proposed. We approximate the effective static magnetic permeability by energy method and Maxwell-Garnett method for spherical particles dispersing system. Considering the effect of the interface layer between the medium and the particle, we study the nanoparticles embedded in a medium exactly. The interface layer property plays a significant factor for the effective permeability of the composite material in which nano-sized particles embedded. Supported by National Natural Science Foundation of Yunnan province under Grant No. 2014FB141 and National Natural Science Foundation under Grant No. 1121403 of China

Overview of the Earth System Science Education Alliance Online Courses

NASA Astrophysics Data System (ADS)

Botti, J. A.

2001-12-01

Science education reform has skyrocketed over the last decade in large part thanks to technology-and one technology in particular, the Internet. The World Wide Web has opened up dynamic new online communities of learners. It has allowed educators from around the world to share thoughts about Earth system science and reexamine the way science is taught. A positive offshoot of this reform effort is the Earth System Science Education Alliance (ESSEA). This partnership among universities, colleges, and science education organizations is led by the Institute for Global Environmental Strategies and the Center for Educational TechnologiesTM at Wheeling Jesuit University. ESSEA's mission is to improve Earth system science education. ESSEA has developed three Earth system science courses for K-12 teachers. These online courses guide teachers into collaborative, student-centered science education experiences. Not only do these courses support teachers' professional development, they also help teachers implement Earth systems science content and age-appropriate pedagogical methods into their classrooms. The ESSEA courses are open to elementary, middle school, and high school teachers. Each course lasts one semester. The courses begin with three weeks of introductory content. Then teachers develop content and pedagogical and technological knowledge in four three-week learning cycles. The elementary school course focuses on basic Earth system interactions between land, life, air, and water. In week A of each learning cycle, teachers do earth system activities with their students. In week B teachers investigate aspects of the Earth system -- for instance, the reason rocks change to soil, the relationship between rock weathering and soil nutrients, and the consequent development of biomes. In week C teachers develop classroom activities and share them online with other course participants. The middle school course stresses the effects of real-world events -- volcanic eruptions, hurricanes, rainforest destruction -- on Earth's lithosphere, atmosphere, biosphere, and hydrosphere. Teachers team during week A of each cycle to research the effect of each event on individual spheres. In week B groups "jigsaw" to study the interactions between events, spheres, and positive and negative feedback loops. In week C teachers develop classroom activities. The high school course uses problem-based learning to examine critical areas of global change, such as coral reef degradation, ozone depletion, and climate change. The ESSEA presentation provides examples of learning environments from each of the three courses.

Overview of the Earth System Science Education Alliance Online Courses

NASA Astrophysics Data System (ADS)

Botti, J.; Myers, R.

2002-12-01

Science education reform has skyrocketed over the last decade in large part thanks to technology-and one technology in particular, the Internet. The World Wide Web has opened up dynamic new online communities of learners. It has allowed educators from around the world to share thoughts about Earth system science and reexamine the way science is taught. A positive offshoot of this reform effort is the Earth System Science Education Alliance (ESSEA). This partnership among universities, colleges, and science education organizations is led by the Institute for Global Environmental Strategies and the Center for Educational Technologiestm at Wheeling Jesuit University. ESSEA's mission is to improve Earth system science education. ESSEA has developed three Earth system science courses for K-12 teachers. These online courses guide teachers into collaborative, student-centered science education experiences. Not only do these courses support teachers' professional development, they also help teachers implement Earth systems science content and age-appropriate pedagogical methods into their classrooms. The ESSEA courses are open to elementary, middle school, and high school teachers. Each course lasts one semester. The courses begin with three weeks of introductory content. Then teachers develop content and pedagogical and technological knowledge in four three-week learning cycles. The elementary school course focuses on basic Earth system interactions between land, life, air, and water. In week A of each learning cycle, teachers do earth system activities with their students. In week B teachers investigate aspects of the Earth system-for instance, the reason rocks change to soil, the relationship between rock weathering and soil nutrients, and the consequent development of biomes. In week C teachers develop classroom activities and share them online with other course participants. The middle school course stresses the effects of real-world events-volcanic eruptions, hurricanes, rainforest destruction-on Earth's lithosphere, atmosphere, biosphere, and hydrosphere. Teachers team during week A of each cycle to research the effect of each event on individual spheres. In week B groups "jigsaw" to study the interactions between events, spheres, and positive and negative feedback loops. In week C teachers develop classroom activities. The high school course uses problem-based learning to examine critical areas of global change, such as coral reef degradation, ozone depletion, and climate change. The ESSEA presentation provides examples of learning environments from each of the three courses.

Atomistic Simulations of High-intensity XFEL Pulses on Diffractive Imaging of Nano-sized System Dynamics

NASA Astrophysics Data System (ADS)

Ho, Phay; Knight, Christopher; Bostedt, Christoph; Young, Linda; Tegze, Miklos; Faigel, Gyula

2016-05-01

We have developed a large-scale atomistic computational method based on a combined Monte Carlo and Molecular Dynamics (MC/MD) method to simulate XFEL-induced radiation damage dynamics of complex materials. The MD algorithm is used to propagate the trajectories of electrons, ions and atoms forward in time and the quantum nature of interactions with an XFEL pulse is accounted for by a MC method to calculate probabilities of electronic transitions. Our code has good scalability with MPI/OpenMP parallelization, and it has been run on Mira, a petascale system at the Argonne Leardership Computing Facility, with particle number >50 million. Using this code, we have examined the impact of high-intensity 8-keV XFEL pulses on the x-ray diffraction patterns of argon clusters. The obtained patterns show strong pulse parameter dependence, providing evidence of significant lattice rearrangement and diffuse scattering. Real-space electronic reconstruction was performed using phase retrieval methods. We found that the structure of the argon cluster can be recovered with atomic resolution even in the presence of considerable radiation damage. This work was supported by the US Department of Energy, Office of Science, Office of Basic Energy Sciences, Chemical Sciences, Geosciences, and Biosciences Division.

[Construction of biopharmaceutics classification system of Chinese materia medica].

PubMed

Liu, Yang; Wei, Li; Dong, Ling; Zhu, Mei-Ling; Tang, Ming-Min; Zhang, Lei

2014-12-01

Based on the characteristics of multicomponent of traditional Chinese medicine and drawing lessons from the concepts, methods and techniques of biopharmaceutics classification system (BCS) in chemical field, this study comes up with the science framework of biopharmaceutics classification system of Chinese materia medica (CMMBCS). Using the different comparison method of multicomponent level and the CMMBCS method of overall traditional Chinese medicine, the study constructs the method process while setting forth academic thoughts and analyzing theory. The basic role of this system is clear to reveal the interaction and the related absorption mechanism of multicomponent in traditional Chinese medicine. It also provides new ideas and methods for improving the quality of Chinese materia medica and the development of new drug research.

Evolving Metadata in NASA Earth Science Data Systems

NASA Astrophysics Data System (ADS)

Mitchell, A.; Cechini, M. F.; Walter, J.

2011-12-01

NASA's Earth Observing System (EOS) is a coordinated series of satellites for long term global observations. NASA's Earth Observing System Data and Information System (EOSDIS) is a petabyte-scale archive of environmental data that supports global climate change research by providing end-to-end services from EOS instrument data collection to science data processing to full access to EOS and other earth science data. On a daily basis, the EOSDIS ingests, processes, archives and distributes over 3 terabytes of data from NASA's Earth Science missions representing over 3500 data products ranging from various types of science disciplines. EOSDIS is currently comprised of 12 discipline specific data centers that are collocated with centers of science discipline expertise. Metadata is used in all aspects of NASA's Earth Science data lifecycle from the initial measurement gathering to the accessing of data products. Missions use metadata in their science data products when describing information such as the instrument/sensor, operational plan, and geographically region. Acting as the curator of the data products, data centers employ metadata for preservation, access and manipulation of data. EOSDIS provides a centralized metadata repository called the Earth Observing System (EOS) ClearingHouse (ECHO) for data discovery and access via a service-oriented-architecture (SOA) between data centers and science data users. ECHO receives inventory metadata from data centers who generate metadata files that complies with the ECHO Metadata Model. NASA's Earth Science Data and Information System (ESDIS) Project established a Tiger Team to study and make recommendations regarding the adoption of the international metadata standard ISO 19115 in EOSDIS. The result was a technical report recommending an evolution of NASA data systems towards a consistent application of ISO 19115 and related standards including the creation of a NASA-specific convention for core ISO 19115 elements. Part of NASA's effort to continually evolve its data systems led ECHO to enhancing the method in which it receives inventory metadata from the data centers to allow for multiple metadata formats including ISO 19115. ECHO's metadata model will also be mapped to the NASA-specific convention for ingesting science metadata into the ECHO system. As NASA's new Earth Science missions and data centers are migrating to the ISO 19115 standards, EOSDIS is developing metadata management resources to assist in the reading, writing and parsing ISO 19115 compliant metadata. To foster interoperability with other agencies and international partners, NASA is working to ensure that a common ISO 19115 convention is developed, enhancing data sharing capabilities and other data analysis initiatives. NASA is also investigating the use of ISO 19115 standards to encode data quality, lineage and provenance with stored values. A common metadata standard across NASA's Earth Science data systems promotes interoperability, enhances data utilization and removes levels of uncertainty found in data products.

The Effect of Cooperative Learning on Students' Achievement and Views on the Science and Technology Course

ERIC Educational Resources Information Center

Altun, Sertel

2015-01-01

The purpose of this study is to investigate the efficiency of learning plan implementation prepared with the cooperative learning method. In particular, the study addresses the effect of cooperative learning on students' achievement and their views regarding the "Systems in Our Body" unit of the 6th grade Science and Technology lesson.…

Mars Science Laboratory thermal control architecture

NASA Technical Reports Server (NTRS)

Bhandari, Pradeep; Birur, Gajanana; Pauken, Michael; Paris, Anthony; Novak, Keith; Prina, Mauro; Ramirez, Brenda; Bame, David

2005-01-01

The Mars Science Laboratory (MSL) mission to land a large rover on Mars is being planned for launch in 2009. This paper will describe the basic architecture of the thermal control system, the challenges and the methods used to overcome them by the use of an innovative architecture to maximize the use of heritage from past projects while meeting the requirements for the design.

Devices development and techniques research for space life sciences

NASA Astrophysics Data System (ADS)

Zhang, A.; Liu, B.; Zheng, C.

The development process and the status quo of the devices and techniques for space life science in China and the main research results in this field achieved by Shanghai Institute of Technical Physics SITP CAS are reviewed concisely in this paper On the base of analyzing the requirements of devices and techniques for supporting space life science experiments and researches one designment idea of developing different intelligent modules with professional function standard interface and easy to be integrated into system is put forward and the realization method of the experiment system with intelligent distributed control based on the field bus are discussed in three hierarchies Typical sensing or control function cells with certain self-determination control data management and communication abilities are designed and developed which are called Intelligent Agents Digital hardware network system which are consisted of the distributed Agents as the intelligent node is constructed with the normative opening field bus technology The multitask and real-time control application softwares are developed in the embedded RTOS circumstance which is implanted into the system hardware and space life science experiment system platform with characteristic of multitasks multi-courses professional and instant integration will be constructed

Caitlin Murphy bio | NREL

Science.gov Websites

. energy system through quantitative analysis methods. Research Interests Evaluating the system and , Washington, DC (2014-2017) Postdoctoral Research Fellow, Carnegie Institution for Science, Washington, DC (2012-2014) Graduate Research and Teaching Assistant, California Institute of Technology, Pasadena, CA

Management Information Systems and Organizational Structure.

ERIC Educational Resources Information Center

Cox, Bruce B.

1987-01-01

Discusses the context within which office automation takes place by using the models of the Science of Creative Intelligence and Transcendental Meditation. Organizational structures are compared to the phenomenon of the "collective consciousness" and the development of automated information systems from manual methods of organizational…

Investigating surety methodologies for cognitive systems.

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

Caudell, Thomas P.; Peercy, David Eugene; Mills, Kristy

2006-11-01

Advances in cognitive science provide a foundation for new tools that promise to advance human capabilities with significant positive impacts. As with any new technology breakthrough, associated technical and non-technical risks are involved. Sandia has mitigated both technical and non-technical risks by applying advanced surety methodologies in such areas as nuclear weapons, nuclear reactor safety, nuclear materials transport, and energy systems. In order to apply surety to the development of cognitive systems, we must understand the concepts and principles that characterize the certainty of a system's operation as well as the risk areas of cognitive sciences. This SAND report documentsmore » a preliminary spectrum of risks involved with cognitive sciences, and identifies some surety methodologies that can be applied to potentially mitigate such risks. Some potential areas for further study are recommended. In particular, a recommendation is made to develop a cognitive systems epistemology framework for more detailed study of these risk areas and applications of surety methods and techniques.« less

Theoretical geology

NASA Astrophysics Data System (ADS)

Mikeš, Daniel

2010-05-01

Theoretical geology Present day geology is mostly empirical of nature. I claim that geology is by nature complex and that the empirical approach is bound to fail. Let's consider the input to be the set of ambient conditions and the output to be the sedimentary rock record. I claim that the output can only be deduced from the input if the relation from input to output be known. The fundamental question is therefore the following: Can one predict the output from the input or can one predict the behaviour of a sedimentary system? If one can, than the empirical/deductive method has changes, if one can't than that method is bound to fail. The fundamental problem to solve is therefore the following: How to predict the behaviour of a sedimentary system? It is interesting to observe that this question is never asked and many a study is conducted by the empirical/deductive method; it seems that the empirical method has been accepted as being appropriate without question. It is, however, easy to argument that a sedimentary system is by nature complex and that several input parameters vary at the same time and that they can create similar output in the rock record. It follows trivially from these first principles that in such a case the deductive solution cannot be unique. At the same time several geological methods depart precisely from the assumption, that one particular variable is the dictator/driver and that the others are constant, even though the data do not support such an assumption. The method of "sequence stratigraphy" is a typical example of such a dogma. It can be easily argued that all the interpretation resulting from a method that is built on uncertain or wrong assumptions is erroneous. Still, this method has survived for many years, nonwithstanding all the critics it has received. This is just one example of the present day geological world and is not unique. Even the alternative methods criticising sequence stratigraphy actually depart from the same erroneous assumptions and do not solve the very fundamental issue that lies at the base of the problem. This problem is straighforward and obvious: a sedimentary system is inherently four-dimensional (3 spatial dimensions + 1 temporal dimension). Any method using an inferior number or dimensions is bound to fail to describe the evolution of a sedimentary system. It is indicative of the present day geological world that such fundamental issues be overlooked. The only reason for which one can appoint the socalled "rationality" in todays society. Simple "common sense" leads us to the conclusion that in this case the empirical method is bound to fail and the only method that can solve the problem is the theoretical approach. Reasoning that is completely trivial for the traditional exact sciences like physics and mathematics and applied sciences like engineering. However, not for geology, a science that was traditionally descriptive and jumped to empirical science, skipping the stage of theoretical science. I argue that the gap of theoretical geology is left open and needs to be filled. Every discipline in geology lacks a theoretical base. This base can only be filled by the theoretical/inductive approach and can impossibly be filled by the empirical/deductive approach. Once a critical mass of geologists realises this flaw in todays geology, we can start solving the fundamental problems in geology.

The Moral Dignity of Inductive Method and the Reconciliation of Science and Faith in Adam Sedgwick's Discourse

NASA Astrophysics Data System (ADS)

Bellon, Richard

2012-07-01

Science's inductive method required patient, humble and self-controlled behavior; Christian revelation demanded the same virtues. The discoveries of science and the truths of scripture would always harmonize as long as both men of science and men of faith conducted themselves in scrupulous accordance with their duty. So ran a central argument in A Discourse on the studies of the university (1833; 5th ed, 1850) by Adam Sedgwick (1785-1873), the longtime professor of geology at the University of Cambridge. This sanctification of the inductive method provided the foundation for a theistic science which (in theory) did not subordinate scientific theory to religious doctrine. This vision provided the foundation for Sedgwick's lifelong crusade against all forms of evolutionary theory. Evolution's impiety, he insisted, resulted from (and exacerbated) a failure to behave inductively. The fact that Sedgwick (in principle if not always in practice) elevated norms of behavior above systems of belief had an important and paradoxical consequence. Even though his personal hatred of evolution never cooled, his Discourse nonetheless provided a dominant model for younger theists to reconcile faith with Charles Darwin's evolutionary theory.

Fast "swarm of detectors" and their application in cosmic rays

NASA Astrophysics Data System (ADS)

Shoziyoev, G. P.; Shoziyoev, Sh. P.

2017-06-01

New opportunities in science appeared with the latest technology of the 21st century. This paper points to creating a new architecture for detection systems of different characteristics in astrophysics and geophysics using the latest technologies related to multicopter cluster systems, alternative energy sources, cluster technologies, cloud computing and big data. The idea of a quick-deployable scaleable dynamic system of a controlled drone with a small set of different detectors for detecting various components of extensive air showers in cosmic rays and in geophysics is very attractive. Development of this type of new system also allows to give a multiplier effect for the development of various sciences and research methods to observe natural phenomena.

Towards transdisciplinarity in Arctic sustainability knowledge co-production: Socially-Oriented Observations as a participatory integrated activity

NASA Astrophysics Data System (ADS)

Vlasova, Tatiana; Volkov, Sergey

2016-09-01

The paper is an attempt to tie together main biogeophysical and social science projects under the auspice of interdisciplinary sustainability science development. Special attention is put to the necessity of the transdisciplinary knowledge co-production based on activities and problem-solutions approaches. It puts attention to the role of monitoring activities in sustainability interdisciplinary science and transdisciplinary knowledge evolution in the Arctic. Socially focused monitoring named Socially-Oriented Observations creating a transdisciplinary space is viewed as one of sources of learning and transformations towards sustainability making possible to shape rapid changes happening in the Arctic based on sustainability knowledge co-production. Continuous Socially-Oriented Observations integrating scientific, education and monitoring methods enables to define adaptation and transformation pathways in the Arctic - the most rapidly changing region of our planet. Socially-Oriented Observations are based on the existing and developing interdisciplinary scientific approaches emerged within natural science and social science projects, sustainable development and resilience concepts putting principle attention to building sustainable and resilient socio-ecological systems. It is argued that the Arctic sustainability science is a valuable component of the whole and broader system of the Arctic Sustainability knowledge co-produced with the help of transdisciplinary approaches integrating science, local/traditional knowledge, entrepreneurship, education, decision-making. Socially-Oriented Observations are designed to be a transdisciplinary interactive continuous participatory process empowering deliberate choices of people that can shape the changes and enable transformation towards sustainability. Approaches of Socially-Oriented Observations and methods of implementation that have been developed since the IPY 2007/2008 and being practiced in different regions of the Arctic are discussed.

Intelligent Systems: Terrestrial Observation and Prediction Using Remote Sensing Data

NASA Technical Reports Server (NTRS)

Coughlan, Joseph C.

2005-01-01

NASA has made science and technology investments to better utilize its large space-borne remote sensing data holdings of the Earth. With the launch of Terra, NASA created a data-rich environment where the challenge is to fully utilize the data collected from EOS however, despite unprecedented amounts of observed data, there is a need for increasing the frequency, resolution, and diversity of observations. Current terrestrial models that use remote sensing data were constructed in a relatively data and compute limited era and do not take full advantage of on-line learning methods and assimilation techniques that can exploit these data. NASA has invested in visualization, data mining and knowledge discovery methods which have facilitated data exploitation, but these methods are insufficient for improving Earth science models that have extensive background knowledge nor do these methods refine understanding of complex processes. Investing in interdisciplinary teams that include computational scientists can lead to new models and systems for online operation and analysis of data that can autonomously improve in prediction skill over time.

Joined up Thinking? Evaluating the Use of Concept-Mapping to Develop Complex System Learning

ERIC Educational Resources Information Center

Stewart, Martyn

2012-01-01

In the physical and natural sciences, the complexity of natural systems and their interactions is becoming better understood. With increased emphasis on learning about complex systems, students will be encountering concepts that are dynamic, ill-structured and interconnected. Concept-mapping is a method considered particularly valuable for…

A Community Publication and Dissemination System for Hydrology Education Materials

NASA Astrophysics Data System (ADS)

Ruddell, B. L.

2015-12-01

Hosted by CUAHSI and the Science Education Resource Center (SERC), federated by the National Science Digital Library (NSDL), and allied with the Water Data Center (WDC), Hydrologic Information System (HIS), and HydroShare projects, a simple cyberinfrastructure has been launched for the publication and dissemination of data and model driven university hydrology education materials. This lightweight system's metadata describes learning content as a data-driven module with defined data inputs and outputs. This structure allows a user to mix and match modules to create sequences of content that teach both hydrology and computer learning outcomes. Importantly, this modular infrastructure allows an instructor to substitute a module based on updated computer methods for one based on outdated computer methods, hopefully solving the problem of rapid obsolescence that has hampered previous community efforts. The prototype system is now available from CUAHSI and SERC, with some example content. The system is designed to catalog, link to, make visible, and make accessible the existing and future contributions of the community; this system does not create content. Submissions from hydrology educators are eagerly solicited, especially for existing content.

Developing a virtual community for health sciences library book selection: Doody's Core Titles

PubMed Central

Shedlock, James; Walton, Linda J.

2006-01-01

Purpose: The purpose of this article is to describe Doody's Core Titles in the Health Sciences as a new selection guide and a virtual community based on an effective use of online systems and to describe its potential impact on library collection development. Setting/Participants/Resources: The setting is the availability of health sciences selection guides. Participants include Doody Enterprise staff, Doody's Library Board of Advisors, content specialists, and library selectors. Resources include the online system used to create Doody's Core Titles along with references to complementary databases. Brief Description: Doody's Core Titles is described and discussed in relation to the literature of selection guides, especially in comparison to the Brandon/Hill selected lists that were published from 1965 to 2003. Doody's Core Titles seeks to fill the vacuum created when the Brandon/Hill lists ceased publication. Doody's Core Titles is a unique selection guide based on its method of creating an online community of experts to identify and score a core list of titles in 119 health sciences specialties and disciplines. Results/Outcome: The result is a new selection guide, now available annually, that will aid health sciences librarians in identifying core titles for local collections. Evaluation Method: Doody's Core Titles organizes the evaluation of core titles that are identified and recommended by content specialists associated with Doody's Book Review Service and library selectors. A scoring mechanism is used to create the selection of core titles, similar to the star rating system employed in other Doody Enterprise products and services. PMID:16404471

Priorities for implementing nutritional science into practice to optimize military performance.

PubMed

Elfenbaum, Pamela; Crawford, Cindy; Enslein, Viviane; Berry, Kevin

2017-06-01

The Metabolically Optimized Brain study explores nutritional science believed to be ready to place into practice to help improve US service member mission-readiness and performance. To this end, an implementation expert panel considered how the US Department of Defense Subsistence Food Service Program, which is operated by each branch of the military in dining facilities within the continental United States, could apply the best nutritional science in a cost-effective manner. The work of this panel was facilitated through a series of thematic conversations guided by evidence generated through systematic reviews, which were performed to identify systems and process gaps and propose possible solutions. The expert panel used a Delphi method of multiple voting, and ultimately proposed 11 systems changes, of which 6 were ranked as highest priority. The proposed highest priority changes were then discussed by the participants with additional stakeholders. The process described here highlights how experts from different sectors operating in a complex system of subsystems can come together to cross talk, identify gaps, and propose mutually beneficial system and process changes to improve the alignment of nutritional science and institutional food-service practice. © The Author(s) 2017. Published by Oxford University Press on behalf of the International Life Sciences Institute. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

Systems and Complexity Thinking in the General Practice Literature: An Integrative, Historical Narrative Review

PubMed Central

Sturmberg, Joachim P.; Martin, Carmel M.; Katerndahl, David A.

2014-01-01

PURPOSE Over the past 7 decades, theories in the systems and complexity sciences have had a major influence on academic thinking and research. We assessed the impact of complexity science on general practice/family medicine. METHODS We performed a historical integrative review using the following systematic search strategy: medical subject heading [humans] combined in turn with the terms complex adaptive systems, nonlinear dynamics, systems biology, and systems theory, limited to general practice/family medicine and published before December 2010. A total of 16,242 articles were retrieved, of which 49 were published in general practice/family medicine journals. Hand searches and snowballing retrieved another 35. After a full-text review, we included 56 articles dealing specifically with systems sciences and general/family practice. RESULTS General practice/family medicine engaged with the emerging systems and complexity theories in 4 stages. Before 1995, articles tended to explore common phenomenologic general practice/family medicine experiences. Between 1995 and 2000, articles described the complex adaptive nature of this discipline. Those published between 2000 and 2005 focused on describing the system dynamics of medical practice. After 2005, articles increasingly applied the breadth of complex science theories to health care, health care reform, and the future of medicine. CONCLUSIONS This historical review describes the development of general practice/family medicine in relation to complex adaptive systems theories, and shows how systems sciences more accurately reflect the discipline’s philosophy and identity. Analysis suggests that general practice/family medicine first embraced systems theories through conscious reorganization of its boundaries and scope, before applying empirical tools. Future research should concentrate on applying nonlinear dynamics and empirical modeling to patient care, and to organizing and developing local practices, engaging in community development, and influencing health care reform. PMID:24445105

Managing the cryogenic systems of SCUBA-2 for long term operation

NASA Astrophysics Data System (ADS)

Cookson, Jamie L.; Bintley, Dan

2016-07-01

SCUBA-2 has been operational on JCMT producing excellent science for almost 5 years. We describe the strategy and methods that we have evolved to keep one of the world's first "dry dilution refrigerators" and the other cryogenic systems working effectively at the summit of Mauna Kea, keeping the instrument functioning at peak efficiency for extended periods (over 12 months at a time), with minimum downtime. We discuss new plans to reduce day-to-day operational costs and to add remote management of the gas handling systems, as we look to the future and envisage another ten years of SCUBA-2 science.

The ONIOM molecular dynamics method for biochemical applications: cytidine deaminase

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

Matsubara, Toshiaki; Dupuis, Michel; Aida, Misako

2007-03-22

Abstract We derived and implemented the ONIOM-molecular dynamics (MD) method for biochemical applications. The implementation allows the characterization of the functions of the real enzymes taking account of their thermal motion. In this method, the direct MD is performed by calculating the ONIOM energy and gradients of the system on the fly. We describe the first application of this ONOM-MD method to cytidine deaminase. The environmental effects on the substrate in the active site are examined. The ONIOM-MD simulations show that the product uridine is strongly perturbed by the thermal motion of the environment and dissociates easily from the activemore » site. TM and MA were supported in part by grants from the Ministry of Education, Culture, Sports, Science and Technology of Japan. MD was supported by the Division of Chemical Sciences, Office of Basic Energy Sciences, and by the Office of Biological and Environmental Research of the U.S. Department of Energy DOE. Battelle operates Pacific Northwest National Laboratory for DOE.« less

A vision for Water Resources Research

NASA Astrophysics Data System (ADS)

Clark, M. P.

2017-12-01

Water Resources Research (WRR) plays a leading role in advancing hydrologic science. As AGU's hydrology journal, WRR has nurtured and published major breakthroughs in hydrologic process understanding and prediction capabilities, accomplished through innovative measurement campaigns, novel data analysis techniques, and elegant computational methods. Developing synergies between process-oriented and applications-oriented science is becoming more important as large changes in coupled human-natural systems impose new stresses on hydrologic systems and create new needs for hydrologic process understanding and prediction. In this presentation I will summarize some major opportunities for WRR, such as the growth of interdisciplinary science and the need for greater international cooperation through sharing of data and model source codes. I will discuss these opportunities in the context of major external trends, especially (1) changes in the perceived value of science to address societal problems, (2) the explosive global growth in science over the past decade, and (3) the transition to a more diffuse publishing landscape. This presentation is intended to foster discussion on ways that WRR can enhance the quality and impact of hydrologic science.

Inquiry Science Learning and Teaching: a Comparison Between the Conceptions and Attitudes of Pre-service Elementary Teachers in Hong Kong and the United States

NASA Astrophysics Data System (ADS)

Lee, Yeung Chung; Lee, Carole Kwan-Ping; Lam, Irene Chung-Man; Kwok, Ping Wai; So, Winnie Wing-Mui

2018-01-01

International studies of science education, such as the Trends in Mathematics and Science Study (TIMSS), have revealed considerable national disparities in students' achievements in science education. The results have prompted many nations to compare their science education systems and practices to those of others, to gain insights for improvement. Teacher training and professional development are key educational components that have not attracted as much attention as they deserve in international comparative studies. This study compares the conceptions and attitudes of pre-service elementary teachers (PSETs) in Hong Kong and the United States with respect to inquiry science learning and teaching at the beginning of the semester before the start of the science methods course. PSETs' conceptions and attitudes in the two countries were compared by means of a questionnaire with both Likert-type and open-ended questions. Quantitative data were analyzed using exploratory factor analysis and inferential statistics, while qualitative data were analyzed through the systematic categorization of PSETs' responses into broad themes and subthemes to reflect patterns in their conceptions of and attitudes toward inquiry science learning and teaching. The results revealed a complex interplay between PSETs' conceptions of and attitudes toward inquiry science learning and teaching. The results shed light on the effects of sociocultural contexts and have important implications for the design of science methods courses.

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.

Geoscience Australia's enterprise application of provenance standards and systems for physical and digital objects

NASA Astrophysics Data System (ADS)

Kemp, C.; Car, N. J.

2016-12-01

Geoscience Australia (GA) is a government agency that provides advice on the geology and geography of Australia. It is the custodian of many digital and physical datasets of national significance. For several years GA has been implementing an enterprise approach to provenance management. The goal for transparency and reproducibility for all of GA's information products; an objective supported at the highest levels and explicitly listed in its Science Principles. Currently GA is finalising a set of enterprise tools to assist with provenance management and rolling out provenance reporting to different science areas. GA has adopted or developed: provenance storage systems; provenance collection code libraries (for use within automated systems); reporting interfaces (for manual use) and provenance representation capability within legacy catalogues. Using these tools within GA's science areas involves modelling the scenario first and then assessing whether the area has its data managed in such a way that allows links to data within provenance to be resolvable in perpetuity. We don't just want to represent provenance (demonstrating transparency), we want to access data via provenance (allowing for reproducibility). A subtask of GA's current work is to link physical samples to information products (datasets, reports, papers) by uniquely and persistently identifying samples using International GeoSample Numbers and then modelling automated & manual laboratory workflows and associated tasks, such as data delivery to corporate databases using the W3C's PROV Data Model. We use PROV DM throughout our modelling and systems. We are also moving to deliver all sample and digital dataset metadata across the agency in the Web Ontology Language (OWL) and exposing it via Linked Data methods in order to allow Semantic Web querying of multiple systems allowing provenance to be leveraged using as a single method and query point. Through the Science First Transformation Program GA is undergoing a significant rethinking of its data architecture, curation and access to support the Digital Science capability for which Provenance management is an output.

Development of a vibration isolation prototype system for microgravity space experiments

NASA Technical Reports Server (NTRS)

Logsdon, Kirk A.; Grodsinsky, Carlos M.; Brown, Gerald V.

1990-01-01

The presence of small levels of low-frequency accelerations on the space shuttle orbiters has degraded the microgravity environment for the science community. Growing concern about this microgravity environment has generated interest in systems that can isolate microgravity science experiments from vibrations. This interest has resulted primarily in studies of isolation systems with active methods of compensation. The development of a magnetically suspended, six-degree-of-freedom active vibration isolation prototype system capable of providing the needed compensation to the orbital environment is presented. A design for the magnetic actuators is described, and the control law for the prototype system that gives a nonintrusive inertial isolation response to the system is also described. Relative and inertial sensors are used to provide an inertial reference for isolating the payload.

K-12 science education: A teacher`s view

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

Moore, P.

1994-12-31

Science education has experienced significant changes over the past two decades. Science is now vital to good citizenship, performance in the workplace, and everyday life.It is time to re-tool and re-design the entire K-12 science education system, employing the same principles and methods used in the practice of science itself. We can no longer ignore the special needs of science instruction. All students need a course that develops their scientific literacy and critical thinking skills every year. Each science program needs meaningful, useful content and skill standards to drive and continuously update the curriculum content and enabel usefull assessment. Sciencemore » teachers must articulate their needs and develop opportunities for professional development and the strengthening of their profession. We need a national plan that gets the many different participants working coherently towards a common goal.« less

Mathematical decision theory applied to land capability: a case study in the community of madrid.

PubMed

Antón, J M; Saa-Requejo, A; Grau, J B; Gallardo, J; Díaz, M C; Andina, Diego; Sanchez, M E; Tarquis, A M

2014-03-01

In land evaluation science, a standard data set is obtained for each land unit to determine the land capability class for various uses, such as different farming systems, forestry, or the conservation or suitability of a specific crop. In this study, we used mathematical decision theory (MDT) methods to address this task. Mathematical decision theory has been used in areas such as management, finance, industrial design, rural development, the environment, and projects for future welfare to study quality and aptness problems using several criteria. We also review MDT applications in soil science and discuss the suitability of MDT methods for dealing simultaneously with a number of problems. The aim of the work was to show how MDT can be used to obtain a valid land quality index and to compare this with a traditional land capability method. Therefore, an additive classification method was applied to obtain a land quality index for 122 land units that were compiled for a case study of the Community of Madrid, Spain, and the results were compared with a previously assigned land capability class using traditional methods based on the minimum requirements for land attributes. Copyright © by the American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America, Inc.

Construction of teacher knowledge in context: Preparing elementary teachers to teach mathematics and science

NASA Astrophysics Data System (ADS)

Lowery, Maye Norene Vail

1998-12-01

The purposes of this study were to further the understanding of how preservice teacher construct teacher knowledge and pedagogical content knowledge of elementary mathematics and science and to determine the extent of that knowledge in a school-based setting. Preservice teachers, university instructors, inservice teachers, and other school personnel were involved in this context-specific study. Evidence of the preservice teachers' knowledge construction (its acquisition, its dimensions, and the social context) was collected through the use of a qualitative methodology. Collected data included individual and group interviews, course documents, artifacts, and preservice teaching portfolios. Innovative aspects of this integrated mathematics and science elementary methods course included standards-based instruction with immediate access to field experiences. Grade-level teams of preservice and inservice teachers planned and implemented lessons in mathematics and science for elementary students. An on-site, portable classroom building served as a mathematics and science teaching and learning laboratory. A four-stage analysis was performed, revealing significant patterns of learning. An ecosystem of learning within a constructivist learning environment was identified to contain three systems: the university system; the school system; and the cohort of learners system. A mega system for the construction of teacher knowledge was revealed in the final analysis. Learning venues were discovered to be the conduits of learning in a situated learning context. Analysis and synthesis of data revealed an extensive acquisition of teacher knowledge and pedagogical content knowledge through identified learning components. Patience, flexibility, and communication were identified as necessities for successful teaching. Learning components included: collaboration with inservice teachers; implementation of discovery learning and hands-on/minds-on learning; small groupwork; lesson planning; classroom management; and application of standards-based instruction. Prolonged, extensive classroom involvement provided familiarity with the ability levels of elementary students. Gains in positive attitudes and confidence in teaching mathematics and science were identified as direct results of this experience. This may be attributed to the immersion in the school-based setting (hands-on) and the standards-based approach (minds-on) methods course. The results are written in case study form using thick description with an emphasis on preservice teachers.

Middle East Regional Irrigation Management Information Systems project-Some science products

USDA-ARS?s Scientific Manuscript database

Similarities in the aridity of environments and water scarcity for irrigation allow common approaches to irrigation management problems and research methods in the Southern Great Plains of the United States and the Middle East. Measurement methods involving weighing lysimeters and eddy covariance sy...

Design of a Workstation by a Cognitive Approach

PubMed Central

Jaspers, MWM; Steen, T.; Geelen, M.; van den Bos, C.

2001-01-01

To ensure ultimate acceptance of computer systems that are easy to use, provide the desired functionality and fits into users work practices requires the use of improved methods for system design and evaluation. Both designing and evaluating workstations that link up smoothly with daily routine of physicians' work requires a thorough understanding of their working practices. The application of methods from cognitive science may contribute to a thorough understanding of the activities involved in medical information processing. We used cognitive task analysis in designing a physicians' workstation, which seems a promising method to ensure that the system meets the user needs.

The use of U.S. Geological Survey digital geospatial data products for science research

USGS Publications Warehouse

Varanka, Dalia E.; Deering, Carol; Caro, Holly

2012-01-01

The development of geographic information system (GIS) transformed the practice of geographic science research. The availability of low-cost, reliable data by the U.S. Geological Survey (USGS) supported the advance of GIS in the early stages of the transition to digital technology. To estimate the extent of the scientific use of USGS digital geospatial data products, a search of science literature databases yielded numbers of articles citing USGS products. Though this method requires careful consideration to avoid false positives, these citation numbers of three types of products (vector, land-use/land-cover, and elevation data) were graphed, and the frequency trends were examined. Trends indicated that the use of several, but not all, products increased with time. The use of some products declined and reasons for these declines are offered. To better understand how these data affected the design and outcomes of research projects, the study begins to build a context for the data by discussing digital cartographic research preceding the production of mass-produced products. The data distribution methods used various media for different system types and were supported by instructional material. The findings are an initial assessment of the affect of USGS products on GIS-enabled science research. A brief examination of the specific papers indicates that USGS data were used for science and GIS conceptual research, advanced education, and problem analysis and solution applications.

Earth Science Data Analytics: Bridging Tools and Techniques with the Co-Analysis of Large, Heterogeneous Datasets

NASA Technical Reports Server (NTRS)

Kempler, Steve; Mathews, Tiffany

2016-01-01

The continuum of ever-evolving data management systems affords great opportunities to the enhancement of knowledge and facilitation of science research. To take advantage of these opportunities, it is essential to understand and develop methods that enable data relationships to be examined and the information to be manipulated. This presentation describes the efforts of the Earth Science Information Partners (ESIP) Federation Earth Science Data Analytics (ESDA) Cluster to understand, define, and facilitate the implementation of ESDA to advance science research. As a result of the void of Earth science data analytics publication material, the cluster has defined ESDA along with 10 goals to set the framework for a common understanding of tools and techniques that are available and still needed to support ESDA.

Self-Learning Monte Carlo Method

NASA Astrophysics Data System (ADS)

Liu, Junwei; Qi, Yang; Meng, Zi Yang; Fu, Liang

Monte Carlo simulation is an unbiased numerical tool for studying classical and quantum many-body systems. One of its bottlenecks is the lack of general and efficient update algorithm for large size systems close to phase transition or with strong frustrations, for which local updates perform badly. In this work, we propose a new general-purpose Monte Carlo method, dubbed self-learning Monte Carlo (SLMC), in which an efficient update algorithm is first learned from the training data generated in trial simulations and then used to speed up the actual simulation. We demonstrate the efficiency of SLMC in a spin model at the phase transition point, achieving a 10-20 times speedup. This work is supported by the DOE Office of Basic Energy Sciences, Division of Materials Sciences and Engineering under Award DE-SC0010526.

Our Changing Planet: The U.S. Climate Change Science Program for Fiscal Years 2004 and 2005

DTIC Science & Technology

2004-07-01

physical, biological, social, and economic sciences. In February 2003, this committee reported its recommendations, which provided invaluable assistance...related environmental systems, and the options proposed to adapt to or mitigate these changes, may have substantial environmental, economic , and societal...adaptive management, and policymaking.The program also will encourage development of new methods, models, and other resources that facilitate economic

The Proposed Creation of University System in the Province of Ilocos Sur, Philippines

ERIC Educational Resources Information Center

Alviento, Severino G.

2017-01-01

This study aimed to determine the level of acceptability of the proposed amalgamation of the three Public Higher Education Institutions in Ilocos Sur. It employed the descriptive method of research. The respondents of the study are the 3rd and 4th year AB Political Science and BSE major in Social Science students and the 4th year BEED students of…

The Science of Transportation Analysis and Simulation

NASA Astrophysics Data System (ADS)

Gleibe, John

2010-03-01

Transportation Science focuses on methods developed to model and analyze the interaction between human behavior and transportation systems. From the human behavioral, or demand, perspective, we are interested in how person and households organize their activities across space and time, with travel viewed as an enabling activity. We have a particular interest in how to model the range of responses to public policy and transportation system changes, which leads to the consideration of both short- and long-term decision-making, interpersonal dependencies, and non-transportation-related opportunities and constraints, including household budgets, land use systems and economic systems. This has led to the development of complex structural econometric modeling systems as well as agent-based simulations. From the transportation systems, or supply, perspective we are interested in the level of service provide by transportation facilities, be it auto, transit or multi-modal systems. This has led to the development of network models and equilibrium concepts as well as hybrid simulation systems based on concepts borrowed from physics, such as fluid flow models, and cellular automata-type models. In this presentation, we review a representative sample of these methods and their use in transportation planning and public policy analysis.

NASA Applied Sciences Program Rapid Prototyping Results and Conclusions

NASA Astrophysics Data System (ADS)

Cox, E. L.

2007-12-01

NASA's Applied Sciences Program seeks to expand the use of Earth science research results to benefit current and future operational systems tasked with making policy and management decisions. The Earth Science Division within the Science Mission Directorate sponsors over 1000 research projects annually to answer the fundamental research question: How is the Earth changing and what are the consequences for life on Earth? As research results become available, largely from satellite observations and Earth system model outputs, the Applied Sciences Program works diligently with scientists and researchers (internal and external to NASA) , and other government agency officials (USDA, EPA, CDC, DOE, US Forest Service, US Fish and Wildlife Service, DHS, USAID) to determine useful applications for these results in decision-making, ultimately benefiting society. The complexity of Earth science research results and the breadth of the Applied Sciences Program national priority areas dictate a broad scope and multiple approaches available to implement their use in decision-making. Over the past five years, the Applied Sciences Program has examined scientific and engineering practices and solicited the community for methods and steps that can lead to the enhancement of operational systems (Decision Support Systems - DSS) required for decision-making. In November 2006, the Applied Sciences Program launched an initiative aimed at demonstrating the applicability of NASA data (satellite observations, models, geophysical parameters from data archive centers) being incorporated into decision support systems and their related environments at a low cost and quick turnaround of results., i.e. designed rapid prototyping. Conceptually, an understanding of Earth science research (and results) coupled with decision-making requirements and needs leads to a demonstration (experiment) depicting enhancements or improvements to an operational decisions process through the use of NASA data. Five NASA centers (GSFC, LaRC, SSC, MSFC, ARC) participated and are currently conducting fifteen prototyping experiments covering eight of the twelve national priority applications - Energy, Coastal, Carbon, and Disaster Management; Agricultural Efficiency, Aviation, Air Quality, and Ecological Forecasting. Results from six experiments will be discussed highlighting purpose, expected results, enhancement to the decision-making process achieved, and the potential plans for future collaboration and sustainable projects.

Subjective judgements in scientific practice and art.

PubMed

Regidor, Enrique

2011-12-01

Since art and science went their separate ways in the 18th century, the purpose of science has been to generate true knowledge based on reason and objectivity. However, during the second half of the 20th century, opinions emerged within science that showed the impossibility of eliminating subjectivity in scientific practice. This paper describes the similarity of the subjective judgements that form part of the peer-review system-the method devised by the scientific community to guarantee truth and objectivity-and the subjective judgements involved in artistic evaluation.

Numerical solution of system of boundary value problems using B-spline with free parameter

NASA Astrophysics Data System (ADS)

Gupta, Yogesh

2017-01-01

This paper deals with method of B-spline solution for a system of boundary value problems. The differential equations are useful in various fields of science and engineering. Some interesting real life problems involve more than one unknown function. These result in system of simultaneous differential equations. Such systems have been applied to many problems in mathematics, physics, engineering etc. In present paper, B-spline and B-spline with free parameter methods for the solution of a linear system of second-order boundary value problems are presented. The methods utilize the values of cubic B-spline and its derivatives at nodal points together with the equations of the given system and boundary conditions, ensuing into the linear matrix equation.

Applying systems ergonomics methods in sport: A systematic review.

PubMed

Hulme, Adam; Thompson, Jason; Plant, Katherine L; Read, Gemma J M; Mclean, Scott; Clacy, Amanda; Salmon, Paul M

2018-04-16

As sports systems become increasingly more complex, competitive, and technology-centric, there is a greater need for systems ergonomics methods to consider the performance, health, and safety of athletes in context with the wider settings in which they operate. Therefore, the purpose of this systematic review was to identify and critically evaluate studies which have applied a systems ergonomics research approach in the context of sports performance and injury management. Five databases (PubMed, Scopus, ScienceDirect, Web of Science, and SPORTDiscus) were searched for the dates 01 January 1990 to 01 August 2017, inclusive, for original peer-reviewed journal articles and conference papers. Reported analyses were underpinned by a recognised systems ergonomics method, and study aims were related to the optimisation of sports performance (e.g. communication, playing style, technique, tactics, or equipment), and/or the management of sports injury (i.e. identification, prevention, or treatment). A total of seven articles were identified. Two articles were focussed on understanding and optimising sports performance, whereas five examined sports injury management. The methods used were the Event Analysis of Systemic Teamwork, Cognitive Work Analysis (the Work Domain Analysis Abstraction Hierarchy), Rasmussen's Risk Management Framework, and the Systems Theoretic Accident Model and Processes method. The individual sport application was distance running, whereas the team sports contexts examined were cycling, football, Australian Football League, and rugby union. The included systems ergonomics applications were highly flexible, covering both amateur and elite sports contexts. The studies were rated as valuable, providing descriptions of injury controls and causation, the factors influencing injury management, the allocation of responsibilities for injury prevention, as well as the factors and their interactions underpinning sports performance. Implications and future directions for research are described. Copyright © 2018 Elsevier Ltd. All rights reserved.

Systems and Methods for Secure Transaction Management and Electronic Rights Protection

DTIC Science & Technology

2002-07-30

4305131 Dec., 1981 Best. 4306289 Dec., 1981 Lumley. 4309569 Jan., 1982 Merkle . 4319079 Mar., 1982 Best. 4323921 Apr., 1982 Guillou. 4328544 May...Operating System Security, (USC/Information Science Institute, Marina Del Rey, CA), Oct. 1973, pp. 666-675. Rolf Blom, Robert Forchheimer, et al

Adaptive Image Processing Methods for Improving Contaminant Detection Accuracy on Poultry Carcasses

USDA-ARS?s Scientific Manuscript database

Technical Abstract A real-time multispectral imaging system has demonstrated a science-based tool for fecal and ingesta contaminant detection during poultry processing. In order to implement this imaging system at commercial poultry processing industry, the false positives must be removed. For doi...

Integrating Science and Engineering to Implement Evidence-Based Practices in Health Care Settings.

PubMed

Wu, Shinyi; Duan, Naihua; Wisdom, Jennifer P; Kravitz, Richard L; Owen, Richard R; Sullivan, J Greer; Wu, Albert W; Di Capua, Paul; Hoagwood, Kimberly Eaton

2015-09-01

Integrating two distinct and complementary paradigms, science and engineering, may produce more effective outcomes for the implementation of evidence-based practices in health care settings. Science formalizes and tests innovations, whereas engineering customizes and optimizes how the innovation is applied tailoring to accommodate local conditions. Together they may accelerate the creation of an evidence-based healthcare system that works effectively in specific health care settings. We give examples of applying engineering methods for better quality, more efficient, and safer implementation of clinical practices, medical devices, and health services systems. A specific example was applying systems engineering design that orchestrated people, process, data, decision-making, and communication through a technology application to implement evidence-based depression care among low-income patients with diabetes. We recommend that leading journals recognize the fundamental role of engineering in implementation research, to improve understanding of design elements that create a better fit between program elements and local context.

TESS Ground System Operations and Data Products

NASA Astrophysics Data System (ADS)

Glidden, Ana; Guerrero, Natalia; Fausnaugh, Michael; TESS Team

2018-01-01

We describe the ground system operations for processing data from the Transiting Exoplanet Survey Satellite (TESS), highlighting the role of the Science Operations Center (SOC). TESS is a spaced-based (nearly) all-sky mission, designed to find small planets around nearby bright stars using the transit method. We detail the flow of data from pixel measurements on the instrument to final products available at the Mikulski Archive for Space Telescopes (MAST). The ground system relies on a host of players to process the data, including the Payload Operations Center at MIT, the Science Processing Operation Center at NASA Ames, and the TESS Science Office, led by the Harvard-Smithsonian Center for Astrophysics and MIT. Together, these groups will deliver TESS Input Catalog, instrument calibration models, calibrated target pixels and full frame images, threshold crossing event reports, two-minute light curves, and the TESS Objects of Interest List.

Micro-separation toward systems biology.

PubMed

Liu, Bi-Feng; Xu, Bo; Zhang, Guisen; Du, Wei; Luo, Qingming

2006-02-17

Current biology is experiencing transformation in logic or philosophy that forces us to reevaluate the concept of cell, tissue or entire organism as a collection of individual components. Systems biology that aims at understanding biological system at the systems level is an emerging research area, which involves interdisciplinary collaborations of life sciences, computational and mathematical sciences, systems engineering, and analytical technology, etc. For analytical chemistry, developing innovative methods to meet the requirement of systems biology represents new challenges as also opportunities and responsibility. In this review, systems biology-oriented micro-separation technologies are introduced for comprehensive profiling of genome, proteome and metabolome, characterization of biomolecules interaction and single cell analysis such as capillary electrophoresis, ultra-thin layer gel electrophoresis, micro-column liquid chromatography, and their multidimensional combinations, parallel integrations, microfabricated formats, and nano technology involvement. Future challenges and directions are also suggested.

Coupling functions: Universal insights into dynamical interaction mechanisms

NASA Astrophysics Data System (ADS)

Stankovski, Tomislav; Pereira, Tiago; McClintock, Peter V. E.; Stefanovska, Aneta

2017-10-01

The dynamical systems found in nature are rarely isolated. Instead they interact and influence each other. The coupling functions that connect them contain detailed information about the functional mechanisms underlying the interactions and prescribe the physical rule specifying how an interaction occurs. A coherent and comprehensive review is presented encompassing the rapid progress made recently in the analysis, understanding, and applications of coupling functions. The basic concepts and characteristics of coupling functions are presented through demonstrative examples of different domains, revealing the mechanisms and emphasizing their multivariate nature. The theory of coupling functions is discussed through gradually increasing complexity from strong and weak interactions to globally coupled systems and networks. A variety of methods that have been developed for the detection and reconstruction of coupling functions from measured data is described. These methods are based on different statistical techniques for dynamical inference. Stemming from physics, such methods are being applied in diverse areas of science and technology, including chemistry, biology, physiology, neuroscience, social sciences, mechanics, and secure communications. This breadth of application illustrates the universality of coupling functions for studying the interaction mechanisms of coupled dynamical systems.

Useful and Usable Climate Science: Frameworks for Bridging the Social and Physical domains.

NASA Astrophysics Data System (ADS)

Buja, L.

2016-12-01

Society is transforming the Earth's system in unprecedented ways, often with significant variations across space and time. In turn, the impacts of climate change on the human system vary dramatically due to differences in cultural, socioeconomic, institutional, and physical processes at the local level. The Climate Science and Applications Program (CSAP) at the National Center for Atmospheric Research in Boulder Colorado addresses societal vulnerability, impacts and adaptation to climate change through the development of frameworks and methods for analyzing current and future vulnerability, and integrated analyses of climate impacts and adaptation at local, regional and global scales. CSAP relies heavily on GIS-based scientific data and knowledge systems to bridge social and physical science approaches in its five focus areas: Governance of inter-linked natural and managed resource systems. The role of urban areas in driving emissions of climate change Weather, climate and global human health, GIS-based science data & knowledge systems. Regional Climate Science and Services for Adaptation Advanced methodologies and frameworks for assessing current and future risks to environmental hazards through the integration of physical and social science models, research results, and remote sensing data are presented in the context of recent national and international projects on climate change and food/water security, urban carbon emissions, metropolitan extreme heat and global health. In addition, innovative CSAP international capacity building programs teaching interdisciplinary approaches for using geospatial technologies to integrate multi-scale spatial information of weather, climate change into important sectors such as disaster reduction, agriculture, tourism and society for decision-making are discussed.

Developing Models to Convey Understanding Rather than Merely Knowledge of the Methods of Science.

ERIC Educational Resources Information Center

Pinet, Paul Raymond

1989-01-01

A teaching method in which students develop models of simple systems to learn critical thinking and scientific methodology is presented. Discussed are the stages of the development of a model and the possible outcomes of the use of model development for students. (CW)

Innovations in the Teaching of Behavioral Sciences in the Preclinical Curriculum

ERIC Educational Resources Information Center

Mack, Kevin

2005-01-01

Objective: In problem-based learning curricula, cases are usually clustered into identified themes or organ systems. While this method of aggregating cases presents clear advantages in terms of resource alignment and student focus, an alternative "hidden cluster" approach provides rich opportunities for content integration. Method: The author…

Systems thinking.

PubMed

Cabrera, Derek; Colosi, Laura; Lobdell, Claire

2008-08-01

Evaluation is one of many fields where "systems thinking" is popular and is said to hold great promise. However, there is disagreement about what constitutes systems thinking. Its meaning is ambiguous, and systems scholars have made diverse and divergent attempts to describe it. Alternative origins include: von Bertalanffy, Aristotle, Lao Tsu or multiple aperiodic "waves." Some scholars describe it as synonymous with systems sciences (i.e., nonlinear dynamics, complexity, chaos). Others view it as taxonomy-a laundry list of systems approaches. Within so much noise, it is often difficult for evaluators to find the systems thinking signal. Recent work in systems thinking describes it as an emergent property of four simple conceptual patterns (rules). For an evaluator to become a "systems thinker", he or she need not spend years learning many methods or nonlinear sciences. Instead, with some practice, one can learn to apply these four simple rules to existing evaluation knowledge with transformative results.

System analysis in forest resources: proceedings of the 2003 symposium.

Treesearch

Michael Bevers; Tara M. Barrett

2005-01-01

The 2003 symposium of systems analysis in forest resources brought together researchers and practitioners who apply methods of optimization, simulation, management science, and systems analysis to forestry problems. This was the 10th symposium in the series, with previous conferences held in 1975, 1985, 1988, 1991, 1993, 1994, 1997, 2000, and 2002. The forty-two papers...

ATTA - A New Method of Ultrasensitive Trace-Isotope Analysis

NASA Astrophysics Data System (ADS)

Lu, Z.-T.; Bailey, K.; Chen, C. Y.; Du, X.; Li, Y. M.; O'Connor, T. P.; Young, L.; Winkler, G.

2000-10-01

We have developed a new method of ultrasensitive trace-isotope analysis based upon the technique of laser manipulation of neutral atoms [1]. This new method allows us to count individual 85Kr and 81Kr atoms present in a natural krypton sample with isotopic abundances in the range of 10-11 and 10-13, respectively. Isotope analysis of 81Kr can be used to date polar ice, and 85Kr is a tracer used in monitoring nuclear wastes. In this experiment metastable Kr atoms were produced in a discharge, decelerated via the Zeeman slowing technique, and captured by a Magneto-Optical Trap where the atoms were counted by measuring their fluorescence. At present our system is capable of counting, in average, one 81Kr atom for about 12 minutes with a total efficiency of 2x10-7. We are currently working to improve our system efficiency by applying cryogenic cooling to the Kr atoms in the discharge region and by recirculating the gas in the vacuum system. This method can be used to analyze many other isotope tracers for a wide range of applications including measuring solar neutrino flux, searching for exotic particles, tracing atmospheric and oceanic currents, archeological and geological dating, medical diagnostics, monitoring fission products in the environment for nuclear waste management, etc. This work is supported by the U.S. Department of Energy, Nuclear Physics Division; L.Young is supported by the Office of Basic Energy Sciences, Division of Chemical Sciences (Contract W-31-109-ENG-38). [1] C.Y. Chen et. al., Science 286, 1139 (1999).

Robust Control for The G-Limit Microgravity Vibration Isolation System

NASA Technical Reports Server (NTRS)

Whorton, Mark S.

2004-01-01

Many microgravity science experiments need an active isolation system to provide a sufficiently quiescent acceleration environment. The g-LIMIT vibration isolation system will provide isolation for Microgravity Science Glovebox experiments in the International Space Station. While standard control system technologies have been demonstrated for these applications, modern control methods have the potential for meeting performance requirements while providing robust stability in the presence of parametric uncertainties that are characteristic of microgravity vibration isolation systems. While H2 and H infinity methods are well established, neither provides the levels of attenuation performance and robust stability in a compensator with low order. Mixed H2/mu controllers provide a means for maximizing robust stability for a given level of mean-square nominal performance while directly optimizing for controller order constraints. This paper demonstrates the benefit of mixed norm design from the perspective of robustness to parametric uncertainties and controller order for microgravity vibration isolation. A nominal performance metric analogous to the mu measure for robust stability assessment is also introduced in order to define an acceptable trade space from which different control methodologies can be compared.

A new course and textbook on Physical Models of Living Systems, for science and engineering undergraduates

NASA Astrophysics Data System (ADS)

Nelson, Philip

2015-03-01

I'll describe an intermediate-level course on ``Physical Models of Living Systems.'' The only prerequisite is first-year university physics and calculus. The course is a response to rapidly growing interest among undergraduates in a broad range of science and engineering majors. Students acquire several research skills that are often not addressed in traditional courses: Basic modeling skills Probabilistic modeling skills Data analysis methods Computer programming using a general-purpose platform like MATLAB or Python Dynamical systems, particularly feedback control. These basic skills, which are relevant to nearly any field of science or engineering, are presented in the context of case studies from living systems, including: Virus dynamics Bacterial genetics and evolution of drug resistance Statistical inference Superresolution microscopy Synthetic biology Naturally evolved cellular circuits. Work supported by NSF Grants EF-0928048 and DMR-0832802.

Improvements in continuum modeling for biomolecular systems

NASA Astrophysics Data System (ADS)

Yu, Qiao; Ben-Zhuo, Lu

2016-01-01

Modeling of biomolecular systems plays an essential role in understanding biological processes, such as ionic flow across channels, protein modification or interaction, and cell signaling. The continuum model described by the Poisson- Boltzmann (PB)/Poisson-Nernst-Planck (PNP) equations has made great contributions towards simulation of these processes. However, the model has shortcomings in its commonly used form and cannot capture (or cannot accurately capture) some important physical properties of the biological systems. Considerable efforts have been made to improve the continuum model to account for discrete particle interactions and to make progress in numerical methods to provide accurate and efficient simulations. This review will summarize recent main improvements in continuum modeling for biomolecular systems, with focus on the size-modified models, the coupling of the classical density functional theory and the PNP equations, the coupling of polar and nonpolar interactions, and numerical progress. Project supported by the National Natural Science Foundation of China (Grant No. 91230106) and the Chinese Academy of Sciences Program for Cross & Cooperative Team of the Science & Technology Innovation.

The use of citation indicators to identify and support high-quality research in Poland.

PubMed

Pilc, Andrzej

2008-01-01

In large, mostly English-speaking countries, where the "critical mass" of scientists working in different subfields of science is achieved, the peer review system may be sufficient to assess the quality of scientific research. However, in smaller countries, outside the Anglo-American circle, it is important to introduce different systems to identify research of high quality. In Poland, a parametric system for assessing the quality of research has been introduced. It was largely based on the impact factor of scientific journals. While the use of this indicator to assess research quality is highly questionable, the implementation of the system in the Polish reality is even worse. Therefore it is important to change and improve the system currently used by the Ministry of Science and Higher Education to both evaluate and, more importantly, finance science in Poland. Here, a system based on three factors, i.e. the impact factor, the institutional h-index, and the institutional number of citations, is proposed. The scientific quality of institutions in Division VI: Medical Sciences of the Polish Academy of Sciences were evaluated and the results were compared with the existing system. Moreover, a method to identify high-quality researchers and institutions at the national level based on the quantity of highly cited papers is shown. Additionally, an attempt to identify the highest quality Polish research on an international level is proposed. This is based on the number of individual citations, the individual h-index, the number of publications, and the priority of the discovery.

Sociocultural Meanings of Nanotechnology: Research Methodologies

NASA Astrophysics Data System (ADS)

Bainbridge, William Sims

2004-06-01

This article identifies six social-science research methodologies that will be useful for charting the sociocultural meaning of nanotechnology: web-based questionnaires, vignette experiments, analysis of web linkages, recommender systems, quantitative content analysis, and qualitative textual analysis. Data from a range of sources are used to illustrate how the methods can delineate the intellectual content and institutional structure of the emerging nanotechnology culture. Such methods will make it possible in future to test hypotheses such as that there are two competing definitions of nanotechnology - the technical-scientific and the science-fiction - that are influencing public perceptions by different routes and in different directions.

Preparing systems engineering and computing science students in disciplined methods, quantitative, and advanced statistical techniques to improve process performance

NASA Astrophysics Data System (ADS)

McCray, Wilmon Wil L., Jr.

The research was prompted by a need to conduct a study that assesses process improvement, quality management and analytical techniques taught to students in U.S. colleges and universities undergraduate and graduate systems engineering and the computing science discipline (e.g., software engineering, computer science, and information technology) degree programs during their academic training that can be applied to quantitatively manage processes for performance. Everyone involved in executing repeatable processes in the software and systems development lifecycle processes needs to become familiar with the concepts of quantitative management, statistical thinking, process improvement methods and how they relate to process-performance. Organizations are starting to embrace the de facto Software Engineering Institute (SEI) Capability Maturity Model Integration (CMMI RTM) Models as process improvement frameworks to improve business processes performance. High maturity process areas in the CMMI model imply the use of analytical, statistical, quantitative management techniques, and process performance modeling to identify and eliminate sources of variation, continually improve process-performance; reduce cost and predict future outcomes. The research study identifies and provides a detail discussion of the gap analysis findings of process improvement and quantitative analysis techniques taught in U.S. universities systems engineering and computing science degree programs, gaps that exist in the literature, and a comparison analysis which identifies the gaps that exist between the SEI's "healthy ingredients " of a process performance model and courses taught in U.S. universities degree program. The research also heightens awareness that academicians have conducted little research on applicable statistics and quantitative techniques that can be used to demonstrate high maturity as implied in the CMMI models. The research also includes a Monte Carlo simulation optimization model and dashboard that demonstrates the use of statistical methods, statistical process control, sensitivity analysis, quantitative and optimization techniques to establish a baseline and predict future customer satisfaction index scores (outcomes). The American Customer Satisfaction Index (ACSI) model and industry benchmarks were used as a framework for the simulation model.

Safari Science: Assessing the reliability of citizen science data for wildlife surveys

USGS Publications Warehouse

Steger, Cara; Butt, Bilal; Hooten, Mevin B.

2017-01-01

Protected areas are the cornerstone of global conservation, yet financial support for basic monitoring infrastructure is lacking in 60% of them. Citizen science holds potential to address these shortcomings in wildlife monitoring, particularly for resource-limited conservation initiatives in developing countries – if we can account for the reliability of data produced by volunteer citizen scientists (VCS).This study tests the reliability of VCS data vs. data produced by trained ecologists, presenting a hierarchical framework for integrating diverse datasets to assess extra variability from VCS data.Our results show that while VCS data are likely to be overdispersed for our system, the overdispersion varies widely by species. We contend that citizen science methods, within the context of East African drylands, may be more appropriate for species with large body sizes, which are relatively rare, or those that form small herds. VCS perceptions of the charisma of a species may also influence their enthusiasm for recording it.Tailored programme design (such as incentives for VCS) may mitigate the biases in citizen science data and improve overall participation. However, the cost of designing and implementing high-quality citizen science programmes may be prohibitive for the small protected areas that would most benefit from these approaches.Synthesis and applications. As citizen science methods continue to gain momentum, it is critical that managers remain cautious in their implementation of these programmes while working to ensure methods match data purpose. Context-specific tests of citizen science data quality can improve programme implementation, and separate data models should be used when volunteer citizen scientists' variability differs from trained ecologists' data. Partnerships across protected areas and between protected areas and other conservation institutions could help to cover the costs of citizen science programme design and implementation.

Large Scale Many-Body Perturbation Theory calculations: methodological developments, data collections, validation

NASA Astrophysics Data System (ADS)

Govoni, Marco; Galli, Giulia

Green's function based many-body perturbation theory (MBPT) methods are well established approaches to compute quasiparticle energies and electronic lifetimes. However, their application to large systems - for instance to heterogeneous systems, nanostructured, disordered, and defective materials - has been hindered by high computational costs. We will discuss recent MBPT methodological developments leading to an efficient formulation of electron-electron and electron-phonon interactions, and that can be applied to systems with thousands of electrons. Results using a formulation that does not require the explicit calculation of virtual states, nor the storage and inversion of large dielectric matrices will be presented. We will discuss data collections obtained using the WEST code, the advantages of the algorithms used in WEST over standard techniques, and the parallel performance. Work done in collaboration with I. Hamada, R. McAvoy, P. Scherpelz, and H. Zheng. This work was supported by MICCoM, as part of the Computational Materials Sciences Program funded by the U.S. Department of Energy, Office of Science, Basic Energy Sciences, Materials Sciences and Engineering Division and by ANL.

Rethinking Technology-Enhanced Physics Teacher Education: From Theory to Practice

ERIC Educational Resources Information Center

Milner-Bolotin, Marina

2016-01-01

This article discusses how modern technology, such as electronic response systems, PeerWise system, data collection and analysis tools, computer simulations, and modeling software can be used in physics methods courses to promote teacher-candidates' professional competencies and their positive attitudes about mathematics and science education. We…

Air Force Laboratory’s 2005 Technology Milestones

DTIC Science & Technology

2006-01-01

Computational materials science methods can benefit the design and property prediction of complex real-world materials. With these models , scientists and...Warfighter Page Air High - Frequency Acoustic System...800) 203-6451 High - Frequency Acoustic System Payoff Scientists created the High - Frequency Acoustic Suppression Technology (HiFAST) airflow control

Space Science

NASA Image and Video Library

1995-06-08

Scientists at Marshall's Adaptive Optics Lab demonstrate the Wave Front Sensor alignment using the Phased Array Mirror Extendible Large Aperture (PAMELA) optics adjustment. The primary objective of the PAMELA project is to develop methods for aligning and controlling adaptive optics segmented mirror systems. These systems can be used to acquire or project light energy. The Next Generation Space Telescope is an example of an energy acquisition system that will employ segmented mirrors. Light projection systems can also be used for power beaming and orbital debris removal. All segmented optical systems must be adjusted to provide maximum performance. PAMELA is an on going project that NASA is utilizing to investigate various methods for maximizing system performance.

Connections Matter: Social Networks and Lifespan Health in Primate Translational Models

PubMed Central

McCowan, Brenda; Beisner, Brianne; Bliss-Moreau, Eliza; Vandeleest, Jessica; Jin, Jian; Hannibal, Darcy; Hsieh, Fushing

2016-01-01

Humans live in societies full of rich and complex relationships that influence health. The ability to improve human health requires a detailed understanding of the complex interplay of biological systems that contribute to disease processes, including the mechanisms underlying the influence of social contexts on these biological systems. A longitudinal computational systems science approach provides methods uniquely suited to elucidate the mechanisms by which social systems influence health and well-being by investigating how they modulate the interplay among biological systems across the lifespan. In the present report, we argue that nonhuman primate social systems are sufficiently complex to serve as model systems allowing for the development and refinement of both analytical and theoretical frameworks linking social life to health. Ultimately, developing systems science frameworks in nonhuman primate models will speed discovery of the mechanisms that subserve the relationship between social life and human health. PMID:27148103

JPRS Report, Science & Technology, Japan, High Temperature Materials

DTIC Science & Technology

1990-11-09

3 This restriction is heavy. The inconvenience that the material powder of the imido thermal composition method, for example, which shows the best...procedures, system composition , features of formability, and forming characteristic of forming samples using alumina material will be made. 2...Osmotic V Process Forming System 2.1 System Composition of Process A system block diagram of the process is shown in Figure 1. The V process forming system

JPRS Report, Science & Technology, USSR: Science & Technology Policy.

DTIC Science & Technology

1987-07-15

called for by the specifications. We pointed this out, tut the suppliers were in no hurry to correct the situation," shop foreman S . Korenev ... S &T Progress ( S . Leznov; TEKHNIKA I NAUKA,No 9, Sep 86) 10 Work of ESSR S &T Societies on Intensifying Social Production (Vladimir...Moscow Automated Control System ( S . Ye. Serdyuk; TEKHNIKA I NAUKA, No 9, Sep 86) 41 INDUSTRIAL, COMMERCIAL APPLICATION Development of Methods

A Laboratory-Based Nonlinear Dynamics Course for Science and Engineering Students.

ERIC Educational Resources Information Center

Sungar, N.; Sharpe, J. P.; Moelter, M. J.; Fleishon, N.; Morrison, K.; McDill, J.; Schoonover, R.

2001-01-01

Describes the implementation of a new laboratory-based, interdisciplinary undergraduate course on linear dynamical systems. Focuses on geometrical methods and data visualization techniques. (Contains 20 references.) (Author/YDS)

Interactive access to LP DAAC satellite data archives through a combination of open-source and custom middleware web services

USGS Publications Warehouse

Davis, Brian N.; Werpy, Jason; Friesz, Aaron M.; Impecoven, Kevin; Quenzer, Robert; Maiersperger, Tom; Meyer, David J.

2015-01-01

Current methods of searching for and retrieving data from satellite land remote sensing archives do not allow for interactive information extraction. Instead, Earth science data users are required to download files over low-bandwidth networks to local workstations and process data before science questions can be addressed. New methods of extracting information from data archives need to become more interactive to meet user demands for deriving increasingly complex information from rapidly expanding archives. Moving the tools required for processing data to computer systems of data providers, and away from systems of the data consumer, can improve turnaround times for data processing workflows. The implementation of middleware services was used to provide interactive access to archive data. The goal of this middleware services development is to enable Earth science data users to access remote sensing archives for immediate answers to science questions instead of links to large volumes of data to download and process. Exposing data and metadata to web-based services enables machine-driven queries and data interaction. Also, product quality information can be integrated to enable additional filtering and sub-setting. Only the reduced content required to complete an analysis is then transferred to the user.

A concept of a space hazard counteraction system: Astronomical aspects

NASA Astrophysics Data System (ADS)

Shustov, B. M.; Rykhlova, L. V.; Kuleshov, Yu. P.; Dubov, Yu. N.; Elkin, K. S.; Veniaminov, S. S.; Borovin, G. K.; Molotov, I. E.; Naroenkov, S. A.; Barabanov, S. I.; Emel'yanenko, V. V.; Devyatkin, A. V.; Medvedev, Yu. D.; Shor, V. A.; Kholshevnikov, K. V.

2013-07-01

The basic science of astronomy and, primarily, its branch responsible for studying the Solar System, face the most important practical task posed by nature and the development of human civilization—to study space hazards and to seek methods of counteracting them. In pursuance of the joint Resolution of the Federal Space Agency (Roscosmos) and the RAS (Russian Academy of Sciences) Space Council of June 23, 2010, the RAS Institute of Astronomy in collaboration with other scientific and industrial organizations prepared a draft concept of the federal-level program targeted at creating a system of space hazard detection and counteraction. The main ideas and astronomical content of the concept are considered in this article.

Sensing risk, fearing uncertainty: systems science approach to change

PubMed Central

Janecka, Ivo P.

2014-01-01

Background: Medicine devotes its primary focus to understanding change, from cells to network relationships; observations of non-linearity are inescapable. Recent events provide extraordinary examples of major non-linear surprises within the societal system: human genome-from anticipated 100,000+ genes to only 20,000+; junk DNA-initially ignored but now proven to control genetic processes; economic reversals-bursting of bubbles in technology, housing, finance; foreign wars; relentless rise in obesity, neurodegenerative diseases. There are two attributes of systems science that are especially relevant to this research: One—it offers a method for creating a structural context with a guiding path to pragmatic knowledge; and, two—it gives pre-eminence to sensory input capable to register, evaluate, and react to change. Materials/Methods: Public domain records of change, during the last 50 years, have been studied in the context of systems science, the dynamic systems model, and various cycles. Results/Conclusions: Change is dynamic, ever-present, never isolated, and of variable impact; it reflects innumerable relationships among contextual systems; change can be perceived as risk or uncertainty depending upon how the assessment is made; risk is quantifiable by sensory input and generates a degree of rational optimism; uncertainty is not quantifiable and evokes fear; trust is key to sharing risk; the measurable financial credit can be a proxy for societal trust; expanding credit dilutes trust; when a credit bubble bursts, so will trust; absence of trust paralyzes systems' relationships leading to disorganized complexity which prevents value creation and heightens the probability of random events; disappearance of value, accompanied by chaos, threatens all systems. From personal health to economic sustainability and collective rationality, most examined components of the societal system were found not to be optimized and trust was not in evidence. PMID:24744723

Complex adaptive systems: concept analysis.

PubMed

Holden, Lela M

2005-12-01

The aim of this paper is to explicate the concept of complex adaptive systems through an analysis that provides a description, antecedents, consequences, and a model case from the nursing and health care literature. Life is more than atoms and molecules--it is patterns of organization. Complexity science is the latest generation of systems thinking that investigates patterns and has emerged from the exploration of the subatomic world and quantum physics. A key component of complexity science is the concept of complex adaptive systems, and active research is found in many disciplines--from biology to economics to health care. However, the research and literature related to these appealing topics have generated confusion. A thorough explication of complex adaptive systems is needed. A modified application of the methods recommended by Walker and Avant for concept analysis was used. A complex adaptive system is a collection of individual agents with freedom to act in ways that are not always totally predictable and whose actions are interconnected. Examples include a colony of termites, the financial market, and a surgical team. It is often referred to as chaos theory, but the two are not the same. Chaos theory is actually a subset of complexity science. Complexity science offers a powerful new approach--beyond merely looking at clinical processes and the skills of healthcare professionals. The use of complex adaptive systems as a framework is increasing for a wide range of scientific applications, including nursing and healthcare management research. When nursing and other healthcare managers focus on increasing connections, diversity, and interactions they increase information flow and promote creative adaptation referred to as self-organization. Complexity science builds on the rich tradition in nursing that views patients and nursing care from a systems perspective.

Enhancing climate literacy through the use of an interdisciplinary global change framework and conceptual models

NASA Astrophysics Data System (ADS)

Bean, J. R.; Zoehfeld, K.; Mitchell, K.; Levine, J.; White, L. D.

2016-12-01

Understanding climate change and how to mitigate the causes and consequences of anthropogenic activities are essential components of the Next Generations Science Standards. To comprehend climate change today and why current rates and magnitudes of change are of concern, students must understand the various factors that drive Earth system processes and also how they interrelate. The Understanding Global Change web resource in development from the UC Museum of Paleontology will provide science educators with a conceptual framework, graphical models, lessons, and assessment templates for teaching NGSS aligned, interdisciplinary, climate change curricula. To facilitate students learning about the Earth as a dynamic, interacting system of ongoing processes, the Understanding Global Change site will provide explicit conceptual links for the causes of climate change (e.g., burning of fossil fuels, deforestation), Earth system processes (e.g., Earth's energy budget, water cycle), and the changes scientists measure in the Earth system (e.g., temperature, precipitation). The conceptual links among topics will be presented in a series of storyboards that visually represent relationships and feedbacks among components of the Earth system and will provide teachers with guides for implementing NGSS-aligned climate change instruction that addresses physical science, life sciences, Earth and space science, and engineering performance expectations. These visualization and instructional methods are used by teachers during professional development programs at UC Berkeley and the Smithsonian National Museum of Natural History and are being tested in San Francisco Bay Area classrooms.

Concept Development for Future Domains: A New Method of Knowledge Elicitation

DTIC Science & Technology

2005-06-01

Procedure: U.S. Army Research Institute for the Behavioral and Social Sciences (ARI) examined methods to generate, refine, test , and validate new...generate, elaborate, refine, describe, test , and validate new Future Force concepts relating to doctrine, tactics, techniques, procedures, unit and team...System (Harvey, 1993), and the Job Element Method (Primoff & Eyde , 1988). Figure 1 provides a more comprehensive list of task analytic methods. Please see

Community Detection in Complex Networks via Clique Conductance.

PubMed

Lu, Zhenqi; Wahlström, Johan; Nehorai, Arye

2018-04-13

Network science plays a central role in understanding and modeling complex systems in many areas including physics, sociology, biology, computer science, economics, politics, and neuroscience. One of the most important features of networks is community structure, i.e., clustering of nodes that are locally densely interconnected. Communities reveal the hierarchical organization of nodes, and detecting communities is of great importance in the study of complex systems. Most existing community-detection methods consider low-order connection patterns at the level of individual links. But high-order connection patterns, at the level of small subnetworks, are generally not considered. In this paper, we develop a novel community-detection method based on cliques, i.e., local complete subnetworks. The proposed method overcomes the deficiencies of previous similar community-detection methods by considering the mathematical properties of cliques. We apply the proposed method to computer-generated graphs and real-world network datasets. When applied to networks with known community structure, the proposed method detects the structure with high fidelity and sensitivity. When applied to networks with no a priori information regarding community structure, the proposed method yields insightful results revealing the organization of these complex networks. We also show that the proposed method is guaranteed to detect near-optimal clusters in the bipartition case.

Perception of Science Standards' Effectiveness and Their Implementation by Science Teachers

NASA Astrophysics Data System (ADS)

Klieger, Aviva; Yakobovitch, Anat

2011-06-01

The introduction of standards into the education system poses numerous challenges and difficulties. As with any change, plans should be made for teachers to understand and implement the standards. This study examined science teachers' perceptions of the effectiveness of the standards for teaching and learning, and the extent and ease/difficulty of implementing science standards in different grades. The research used a mixed methods approach, combining qualitative and quantitative research methods. The research tools were questionnaires that were administered to elementary school science teachers. The majority of the teachers perceived the standards in science as effective for teaching and learning and only a small minority viewed them as restricting their pedagogical autonomy. Differences were found in the extent of implementation of the different standards and between different grades. The teachers perceived a different degree of difficulty in the implementation of the different standards. The standards experienced as easiest to implement were in the field of biology and materials, whereas the standards in earth sciences and the universe and technology were most difficult to implement, and are also those evaluated by the teachers as being implemented to the least extent. Exposure of teachers' perceptions on the effectiveness of standards and the implementation of the standards may aid policymakers in future planning of teachers' professional development for the implementation of standards.

Building capacity in implementation science research training at the University of Nairobi.

PubMed

Osanjo, George O; Oyugi, Julius O; Kibwage, Isaac O; Mwanda, Walter O; Ngugi, Elizabeth N; Otieno, Fredrick C; Ndege, Wycliffe; Child, Mara; Farquhar, Carey; Penner, Jeremy; Talib, Zohray; Kiarie, James N

2016-03-08

Health care systems in sub-Saharan Africa, and globally, grapple with the problem of closing the gap between evidence-based health interventions and actual practice in health service settings. It is essential for health care systems, especially in low-resource settings, to increase capacity to implement evidence-based practices, by training professionals in implementation science. With support from the Medical Education Partnership Initiative, the University of Nairobi has developed a training program to build local capacity for implementation science. This paper describes how the University of Nairobi leveraged resources from the Medical Education Partnership to develop an institutional program that provides training and mentoring in implementation science, builds relationships between researchers and implementers, and identifies local research priorities for implementation science. The curriculum content includes core material in implementation science theory, methods, and experiences. The program adopts a team mentoring and supervision approach, in which fellows are matched with mentors at the University of Nairobi and partnering institutions: University of Washington, Seattle, and University of Maryland, Baltimore. A survey of program participants showed a high degree satisfaction with most aspects of the program, including the content, duration, and attachment sites. A key strength of the fellowship program is the partnership approach, which leverages innovative use of information technology to offer diverse perspectives, and a team model for mentorship and supervision. As health care systems and training institutions seek new approaches to increase capacity in implementation science, the University of Nairobi Implementation Science Fellowship program can be a model for health educators and administrators who wish to develop their program and curricula.

The future of 'pure' medical science: the need for a new specialist professional research system.

PubMed

Charlton, Bruce G; Andras, Peter

2005-01-01

Over recent decades, medical research has become mostly an 'applied' science which implicitly aims at steady progress by an accumulation of small improvements, each increment having a high probability of validity. Applied medical science is, therefore, a social system of communications for generating pre-publication peer-reviewed knowledge that is ready for implementation. However, the need for predictability makes modern medical science risk-averse and this is leading to a decline in major therapeutic breakthroughs where new treatments for new diseases are required. There is need for the evolution of a specialized professional research system of pure medial science, whose role would be to generate and critically evaluate radically novel and potentially important theories, techniques, therapies and technologies. Pure science ideas typically have a lower probability of being valid, but the possibility of much greater benefit if they turn out to be true. The domination of medical research by applied criteria means that even good ideas from pure medical science are typically ignored or summarily rejected as being too speculative. Of course, radical and potentially important ideas may currently be published, but at present there is no formal mechanism by which pure science publications may be received, critiqued, evaluated and extended to become suitable for 'application'. Pure medical science needs to evolve to constitute a typical specialized scientific system of formal communications among a professional community. The members of this putative profession would interact via close research groupings, journals, meetings, electronic and web communications--like any other science. Pure medical science units might arise as elite grouping linked to existing world-class applied medical research institutions. However, the pure medical science system would have its own separate aims, procedures for scientific evaluation, institutional organization, funding and support arrangements; and a separate higher-professional career path with distinctive selection criteria. For instance, future leaders of pure medical science institutions would need to be selected on the basis of their specialized cognitive aptitudes and their record of having generated science-transforming ideas, as well as their research management skills. Pure medical science would work most effectively and efficiently if practiced in many independent and competing institutions in several different countries. The main 'market' for pure medical science would be the applied medical scientists, who need radical strategies to solve problems which are not yielding to established methods. The stimulus to create such elite pure medical science institutions might come from the leadership of academic 'entrepreneurs' (for instance, imaginative patrons in the major funding foundations), or be triggered by a widespread public recognition of the probable exhaustion of existing applied medical science approaches to solving major therapeutic challenges.

From the Voices of Kindergarten Teachers: Factors That Impact Decisions about When to Engage the Natural Curiosities of Their Students in Science

NASA Astrophysics Data System (ADS)

Hamilton, Frances A.

Students enter kindergarten as natural-born scientists, curious about the world around them. They enter middle school disliking science. Although implementing science in kindergarten has the potential to improve learning in other subjects in addition to science, it is not taught much in kindergarten. There are many reasons for this according to the literature. The purpose of the study is to gain insight into teachers' thinking as they decide when and how to engage their students in science, to better understand why student enjoyment of science fades in early grades; to contribute teachers' voices to the existing literature on teaching science in the early grades; and to investigate how teachers' science teaching methods align with current research regarding how students learn best. The key research question is "What are the factors that impact teachers' decisions about when to engage the natural curiosities of their students?" Broken down, the supporting research questions include: 1. What factors impact teacher decisions about when to teach science? 2. Under what conditions do teachers engage students' natural curiosities in science? 3. How do teachers describe engagement in their classrooms? This was a participatory action research study that used autoethnography, case studies, and grounded theory methods. Five co-researchers took part in the process. Purposeful sampling was used to select a range of kindergarten teachers in Tennessee and Alabama with different perspectives on teaching science--some from county systems and some from city systems; some using Alabama Math, Science, and Technology Initiative (AMSTI) kits and some not using kits. Co-researchers were selected during initial meetings, interviewed, collected journal entry data, and interviewed again at the culmination of the study. Interviews were transcribed and coded. Analysis included individual cases, each co-researcher, as well as across-case analysis. Results indicated that co-researchers did not have time to teach science many days due to requirements for teaching reading and math, and because of benchmark testing. Recommendations include integrating science concepts including hands-on explorations with reading and math. Ideas for future study include collecting data for a full year, as opposed to eight weeks, to see how factors change from beginning to end in one school year. The idea of learning during spontaneous interactions emerged from interviews with two co-researchers. Exploring spontaneous interactions is another area for future study.

Systems of fuzzy equations in structural mechanics

NASA Astrophysics Data System (ADS)

Skalna, Iwona; Rama Rao, M. V.; Pownuk, Andrzej

2008-08-01

Systems of linear and nonlinear equations with fuzzy parameters are relevant to many practical problems arising in structure mechanics, electrical engineering, finance, economics and physics. In this paper three methods for solving such equations are discussed: method for outer interval solution of systems of linear equations depending linearly on interval parameters, fuzzy finite element method proposed by Rama Rao and sensitivity analysis method. The performance and advantages of presented methods are described with illustrative examples. Extended version of the present paper can be downloaded from the web page of the UTEP [I. Skalna, M.V. Rama Rao, A. Pownuk, Systems of fuzzy equations in structural mechanics, The University of Texas at El Paso, Department of Mathematical Sciences Research Reports Series, , Texas Research Report No. 2007-01, 2007].

Bioinspired principles for large-scale networked sensor systems: an overview.

PubMed

Jacobsen, Rune Hylsberg; Zhang, Qi; Toftegaard, Thomas Skjødeberg

2011-01-01

Biology has often been used as a source of inspiration in computer science and engineering. Bioinspired principles have found their way into network node design and research due to the appealing analogies between biological systems and large networks of small sensors. This paper provides an overview of bioinspired principles and methods such as swarm intelligence, natural time synchronization, artificial immune system and intercellular information exchange applicable for sensor network design. Bioinspired principles and methods are discussed in the context of routing, clustering, time synchronization, optimal node deployment, localization and security and privacy.

The Chandra X-ray Center data system: supporting the mission of the Chandra X-ray Observatory

NASA Astrophysics Data System (ADS)

Evans, Janet D.; Cresitello-Dittmar, Mark; Doe, Stephen; Evans, Ian; Fabbiano, Giuseppina; Germain, Gregg; Glotfelty, Kenny; Hall, Diane; Plummer, David; Zografou, Panagoula

2006-06-01

The Chandra X-ray Center Data System provides end-to-end scientific software support for Chandra X-ray Observatory mission operations. The data system includes the following components: (1) observers' science proposal planning tools; (2) science mission planning tools; (3) science data processing, monitoring, and trending pipelines and tools; and (4) data archive and database management. A subset of the science data processing component is ported to multiple platforms and distributed to end-users as a portable data analysis package. Web-based user tools are also available for data archive search and retrieval. We describe the overall architecture of the data system and its component pieces, and consider the design choices and their impacts on maintainability. We discuss the many challenges involved in maintaining a large, mission-critical software system with limited resources. These challenges include managing continually changing software requirements and ensuring the integrity of the data system and resulting data products while being highly responsive to the needs of the project. We describe our use of COTS and OTS software at the subsystem and component levels, our methods for managing multiple release builds, and adapting a large code base to new hardware and software platforms. We review our experiences during the life of the mission so-far, and our approaches for keeping a small, but highly talented, development team engaged during the maintenance phase of a mission.

Carbon Dioxide Observational Platform System (CO-OPS), feasibility study

NASA Technical Reports Server (NTRS)

Bouquet, D. L.; Hall, D. W.; Mcelveen, R. P.

1987-01-01

The Carbon Dioxide Observational Platform System (CO-OPS) is a near-space, geostationary, multi-user, unmanned microwave powered monitoring platform system. This systems engineering feasibility study addressed identified existing requirements such as: carbon dioxide observational data requirements, communications requirements, and eye-in-the-sky requirements of other groups like the Defense Department, the Forestry Service, and the Coast Guard. In addition, potential applications in: earth system science, space system sciences, and test and verification (satellite sensors and data management techniques) were considered. The eleven month effort is summarized. Past work and methods of gathering the required observational data were assessed and rough-order-of magnitude cost estimates have shown the CO-OPS system to be most cost effective (less than $30 million within a 10 year lifetime). It was also concluded that there are no technical, schedule, or obstacles that would prevent achieving the objectives of the total 5-year CO-OPS program.

Assessing Argumentative Representation with Bayesian Network Models in Debatable Social Issues

ERIC Educational Resources Information Center

Zhang, Zhidong; Lu, Jingyan

2014-01-01

This study seeks to obtain argumentation models, which represent argumentative processes and an assessment structure in secondary school debatable issues in the social sciences. The argumentation model was developed based on mixed methods, a combination of both theory-driven and data-driven methods. The coding system provided a combing point by…

A novel method for NDT applications using NXCT system at the Missouri University of Science & Technology

NASA Astrophysics Data System (ADS)

Sinha, Vaibhav; Srivastava, Anjali; Koo Lee, Hyoung

2014-06-01

A novel method for non-destructive analysis has been developed using a neutron/X-ray combined computed tomography (NXCT) system at the Missouri University of Science and Technology Reactor (MSTR). This imaging system takes advantage of the fact that neutrons and X-rays have characteristically different interactions with same materials. NXCT fuses the imaging capabilities of both systems at one location and allows instant evaluation for nondestructive testing (NDT) applications. This technique promises viable advances in the field of NDT. In this paper, the complete design criteria and procedures are provided. The described design criteria and procedures can effectively be utilized to design and develop advanced combined computed tomography system. The successful operation of the high resolution X-ray and neutron computed tomography has been demonstrated in this paper. The utility and importance of the NXCT system has been shown by nondestructive evaluation of various phantoms constituting different materials, geometrical, structural and compositional information. The concept of NXCT can be useful for concealed material detection, material characterization, investigation of complex geometries involving different atomic number materials and real time imaging for in-situ studies.

Elementary GLOBE: Inquiring About the Earth System Through Elementary Student Investigations

NASA Astrophysics Data System (ADS)

Henderson, S.; Hatheway, B.; Gardiner, L.; Gallagher, S.

2006-12-01

Elementary GLOBE was designed to introduce K-4 students to the study of Earth System Science (ESS). Elementary GLOBE forms an instructional unit comprised of five modules that address ESS and interrelated subjects including weather, hydrology, seasons, and soils. Each Elementary GLOBE module contains a science based storybook, classroom learning activities that complement the science content covered in each book, and teacher's notes. The storybooks explore a component of the Earth system and the associated classroom learning activities provide students with a meaningful introduction to technology, a basic understanding of the methods of inquiry, and connection to math and literacy skills. The science content in the books and activities serves as a springboard to GLOBE's scientific protocols. All Elementary GLOBE materials are freely downloadable (www.globe.gov/elementaryglobe) The use of science storybooks with elementary students has proven to be an effective practice in exposing students to science content while providing opportunities for students to improve their reading, writing, and oral communication skills. The Elementary GLOBE storybooks portray kids asking questions about the natural world, doing science investigations, and exploring the world around them. Through the storybook characters, scientific inquiry is modeled for young learners. The associated learning activities provide opportunities for students to practice science inquiry and investigation skills, including observation, recording, measuring, etc. Students also gain exposure and increase their comfort with different tools that scientists use. The learning activities give students experiences with asking questions, conducting scientific investigations, and scientific journaling. Elementary GLOBE fills an important niche in K-4 instruction. The international GLOBE Program brings together students, teachers, and scientists with the basic goals of increasing scientific understanding of the Earth, supporting improved student achievement in science and math, and enhancing environmental awareness. NASA provides the primary source of funding for GLOBE.

Method and System for Producing Full Motion Media to Display on a Spherical Surface

NASA Technical Reports Server (NTRS)

Starobin, Michael A. (Inventor)

2015-01-01

A method and system for producing full motion media for display on a spherical surface is described. The method may include selecting a subject of full motion media for display on a spherical surface. The method may then include capturing the selected subject as full motion media (e.g., full motion video) in a rectilinear domain. The method may then include processing the full motion media in the rectilinear domain for display on a spherical surface, such as by orienting the full motion media, adding rotation to the full motion media, processing edges of the full motion media, and/or distorting the full motion media in the rectilinear domain for instance. After processing the full motion media, the method may additionally include providing the processed full motion media to a spherical projection system, such as a Science on a Sphere system.

Mastering cognitive development theory in computer science education

NASA Astrophysics Data System (ADS)

Gluga, Richard; Kay, Judy; Lister, Raymond; Simon; Kleitman, Sabina

2013-03-01

To design an effective computer science curriculum, educators require a systematic method of classifying the difficulty level of learning activities and assessment tasks. This is important for curriculum design and implementation and for communication between educators. Different educators must be able to use the method consistently, so that classified activities and assessments are comparable across the subjects of a degree, and, ideally, comparable across institutions. One widespread approach to supporting this is to write learning objects in terms of Bloom's Taxonomy. This, or other such classifications, is likely to be more effective if educators can use them consistently, in the way experts would use them. To this end, we present the design and evaluation of our online interactive web-based tutorial system, which can be configured and used to offer training in different classification schemes. We report on results from three evaluations. First, 17 computer science educators complete a tutorial on using Bloom's Taxonomy to classify programming examination questions. Second, 20 computer science educators complete a Neo-Piagetian tutorial. Third evaluation was a comparison of inter-rater reliability scores of computer science educators classifying programming questions using Bloom's Taxonomy, before and after taking our tutorial. Based on the results from these evaluations, we discuss the effectiveness of our tutorial system design for teaching computer science educators how to systematically and consistently classify programming examination questions. We also discuss the suitability of Bloom's Taxonomy and Neo-Piagetian theory for achieving this goal. The Bloom's and Neo-Piagetian tutorials are made available as a community resource. The contributions of this paper are the following: the tutorial system for learning classification schemes for the purpose of coding the difficulty of computing learning materials; its evaluation; new insights into the consistency that computing educators can achieve using Bloom; and first insights into the use of Neo-Piagetian theory by a group of classifiers.

Bayesian Methods and Universal Darwinism

NASA Astrophysics Data System (ADS)

Campbell, John

2009-12-01

Bayesian methods since the time of Laplace have been understood by their practitioners as closely aligned to the scientific method. Indeed a recent Champion of Bayesian methods, E. T. Jaynes, titled his textbook on the subject Probability Theory: the Logic of Science. Many philosophers of science including Karl Popper and Donald Campbell have interpreted the evolution of Science as a Darwinian process consisting of a `copy with selective retention' algorithm abstracted from Darwin's theory of Natural Selection. Arguments are presented for an isomorphism between Bayesian Methods and Darwinian processes. Universal Darwinism, as the term has been developed by Richard Dawkins, Daniel Dennett and Susan Blackmore, is the collection of scientific theories which explain the creation and evolution of their subject matter as due to the Operation of Darwinian processes. These subject matters span the fields of atomic physics, chemistry, biology and the social sciences. The principle of Maximum Entropy states that Systems will evolve to states of highest entropy subject to the constraints of scientific law. This principle may be inverted to provide illumination as to the nature of scientific law. Our best cosmological theories suggest the universe contained much less complexity during the period shortly after the Big Bang than it does at present. The scientific subject matter of atomic physics, chemistry, biology and the social sciences has been created since that time. An explanation is proposed for the existence of this subject matter as due to the evolution of constraints in the form of adaptations imposed on Maximum Entropy. It is argued these adaptations were discovered and instantiated through the Operations of a succession of Darwinian processes.

Ushering in a New Frontier in Geospace Through Data Science

NASA Astrophysics Data System (ADS)

McGranaghan, Ryan M.; Bhatt, Asti; Matsuo, Tomoko; Mannucci, Anthony J.; Semeter, Joshua L.; Datta-Barua, Seebany

2017-12-01

Our understanding and specification of solar-terrestrial interactions benefit from taking advantage of comprehensive data-intensive approaches. These data-driven methods are taking on new importance in light of the shifting data landscape of the geospace system, which extends from the near Earth space environment, through the magnetosphere and interplanetary space, to the Sun. The space physics community faces both an exciting opportunity and an important imperative to create a new frontier built at the intersection of traditional approaches and state-of-the-art data-driven sciences and technologies. This brief commentary addresses the current paradigm of geospace science and the emerging need for data science innovation, discusses the meaning of data science in the context of geospace, and highlights community efforts to respond to the changing landscape.

Improvement of statistical methods for detecting anomalies in climate and environmental monitoring systems

NASA Astrophysics Data System (ADS)

Yakunin, A. G.; Hussein, H. M.

2018-01-01

The article shows how the known statistical methods, which are widely used in solving financial problems and a number of other fields of science and technology, can be effectively applied after minor modification for solving such problems in climate and environment monitoring systems, as the detection of anomalies in the form of abrupt changes in signal levels, the occurrence of positive and negative outliers and the violation of the cycle form in periodic processes.

Rtop - an R package for interpolation along the stream network

NASA Astrophysics Data System (ADS)

Skøien, J. O.

2009-04-01

Rtop - an R package for interpolation along the stream network Geostatistical methods have been used to a limited extent for estimation along stream networks, with a few exceptions(Gottschalk, 1993; Gottschalk, et al., 2006; Sauquet, et al., 2000; Skøien, et al., 2006). Interpolation of runoff characteristics are more complicated than the traditional random variables estimated by geostatistical methods, as the measurements have a more complicated support, and many catchments are nested. Skøien et al. (2006) presented the model Top-kriging which takes these effects into account for interpolation of stream flow characteristics (exemplified by the 100 year flood). The method has here been implemented as a package in the statistical environment R (R Development Core Team, 2004). Taking advantage of the existing methods in R for working with spatial objects, and the extensive possibilities for visualizing the result, this makes it considerably easier to apply the method on new data sets, in comparison to earlier implementation of the method. Gottschalk, L. 1993. Interpolation of runoff applying objective methods. Stochastic Hydrology and Hydraulics, 7, 269-281. Gottschalk, L., I. Krasovskaia, E. Leblois, and E. Sauquet. 2006. Mapping mean and variance of runoff in a river basin. Hydrology and Earth System Sciences, 10, 469-484. R Development Core Team. 2004. R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. Sauquet, E., L. Gottschalk, and E. Leblois. 2000. Mapping average annual runoff: a hierarchical approach applying a stochastic interpolation scheme. Hydrological Sciences Journal, 45 (6), 799-815. Skøien, J. O., R. Merz, and G. Blöschl. 2006. Top-kriging - geostatistics on stream networks. Hydrology and Earth System Sciences, 10, 277-287.

ALCF Data Science Program: Productive Data-centric Supercomputing

NASA Astrophysics Data System (ADS)

Romero, Nichols; Vishwanath, Venkatram

The ALCF Data Science Program (ADSP) is targeted at big data science problems that require leadership computing resources. The goal of the program is to explore and improve a variety of computational methods that will enable data-driven discoveries across all scientific disciplines. The projects will focus on data science techniques covering a wide area of discovery including but not limited to uncertainty quantification, statistics, machine learning, deep learning, databases, pattern recognition, image processing, graph analytics, data mining, real-time data analysis, and complex and interactive workflows. Project teams will be among the first to access Theta, ALCFs forthcoming 8.5 petaflops Intel/Cray system. The program will transition to the 200 petaflop/s Aurora supercomputing system when it becomes available. In 2016, four projects have been selected to kick off the ADSP. The selected projects span experimental and computational sciences and range from modeling the brain to discovering new materials for solar-powered windows to simulating collision events at the Large Hadron Collider (LHC). The program will have a regular call for proposals with the next call expected in Spring 2017.http://www.alcf.anl.gov/alcf-data-science-program This research used resources of the ALCF, which is a DOE Office of Science User Facility supported under Contract DE-AC02-06CH11357.

Finding alternatives when a major database is gone*

PubMed Central

Hu, Estelle

2016-01-01

Question What to do when a major database ceases publication? Setting An urban, academic health sciences library with four campuses serves a university health sciences system, a college of medicine, and five other health sciences colleges. Methods Usage statistics of each e-book title in the resource were carefully analyzed. Purchase decisions were made based on the assessment of usage. Results Sustainable resources were acquired from other vendors, with perpetual access for library users. Conclusion This systematic process of finding alternative resources is an example of librarians' persistence in acquiring perpetual electronic resources when a major resource is cancelled. PMID:27076804

Physics transforming the life sciences.

PubMed

Onuchic, José N

2014-10-08

Biological physics is clearly becoming one of the leading sciences of the 21st century. This field involves the cross-fertilization of ideas and methods from biology and biochemistry on the one hand and the physics of complex and far from equilibrium systems on the other. Here I want to discuss how biological physics is a new area of physics and not simply applications of known physics to biological problems. I will focus in particular on the new advances in theoretical physics that are already flourishing today. They will become central pieces in the creation of this new frontier of science.

NASA Wavelength: A Full Spectrum of NASA Resources for Earth and Space Science Education

NASA Astrophysics Data System (ADS)

Smith, D. A.; Schwerin, T. G.; Peticolas, L. M.; Porcello, D.; Kansa, E.; Shipp, S. S.; Bartolone, L.

2013-12-01

The NASA Science Education and Public Outreach Forums have developed a digital library--NASAWavelength.org--that enables easy discovery and retrieval of thousands of resources from the NASA Earth and space science education portfolio. The system has been developed based on best practices in the architecture and design of web-based information systems. The design style and philosophy emphasize simple, reusable data and services that facilitate the free flow of data across systems. The primary audiences for NASA Wavelength are STEM educators (K-12, higher education and informal education) as well as scientists, education and public outreach professionals who work with K-12, higher education, and informal education. A NASA Wavelength strandmap service features the 19 AAAS strandmaps that are most relevant to NASA science; the service also generates all of the 103 AAAS strandmaps with content from the Wavelength collection. These maps graphically and interactively provide connections between concepts as well as illustrate how concepts build upon one another across grade levels. New features have been developed for this site based on user feedback, including list-building so that users can create and share individual collections within Wavelength. We will also discuss potential methods for integrating the Next Generation Science Standards (NGSS) into the search and discovery tools on NASA Wavelength.

Link Winds: A visual data analysis system and its application to the atmospheric ozone depletion problem

NASA Technical Reports Server (NTRS)

Jacobson, Allan S.; Berkin, Andrew L.

1995-01-01

The Linked Windows Interactive Data System (LinkWinds) is a prototype visual data exploration system resulting from a NASA Jet Propulsion Laboratory (JPL) program of research into the application of graphical methods for rapidly accessing, displaying, and analyzing large multi variate multidisciplinary data sets. Running under UNIX it is an integrated multi-application executing environment using a data-linking paradigm to dynamically interconnect and control multiple windows containing a variety of displays and manipulators. This paradigm, resulting in a system similar to a graphical spreadsheet, is not only a powerful method for organizing large amounts of data for analysis, but leads to a highly intuitive, easy-to-learn user interface. It provides great flexibility in rapidly interacting with large masses of complex data to detect trends, correlations, and anomalies. The system, containing an expanding suite of non-domain-specific applications, provides for the ingestion of a variety of data base formats and hard -copy output of all displays. Remote networked workstations running LinkWinds may be interconnected, providing a multiuser science environment (MUSE) for collaborative data exploration by a distributed science team. The system is being developed in close collaboration with investigators in a variety of science disciplines using both archived and real-time data. It is currently being used to support the Microwave Limb Sounder (MLS) in orbit aboard the Upper Atmosphere Research Satellite (UARS). This paper describes the application of LinkWinds to this data to rapidly detect features, such as the ozone hole configuration, and to analyze correlations between chemical constituents of the atmosphere.

Japan Report, Science and Technology.

DTIC Science & Technology

1987-04-28

manufacture liquid hydrogen domestically because "a method to manufacture hydrogen by decomposing methanol is in commercial use and if we neglect this area...system or element, and how safety is related to materials, production methods , and sterilization. The environment where the materials are used...be essential to produce them in a clean environment. For instance, the dialyzer-sterilizing method is changing. Initially, it was sold in

Nursing Needs Big Data and Big Data Needs Nursing.

PubMed

Brennan, Patricia Flatley; Bakken, Suzanne

2015-09-01

Contemporary big data initiatives in health care will benefit from greater integration with nursing science and nursing practice; in turn, nursing science and nursing practice has much to gain from the data science initiatives. Big data arises secondary to scholarly inquiry (e.g., -omics) and everyday observations like cardiac flow sensors or Twitter feeds. Data science methods that are emerging ensure that these data be leveraged to improve patient care. Big data encompasses data that exceed human comprehension, that exist at a volume unmanageable by standard computer systems, that arrive at a velocity not under the control of the investigator and possess a level of imprecision not found in traditional inquiry. Data science methods are emerging to manage and gain insights from big data. The primary methods included investigation of emerging federal big data initiatives, and exploration of exemplars from nursing informatics research to benchmark where nursing is already poised to participate in the big data revolution. We provide observations and reflections on experiences in the emerging big data initiatives. Existing approaches to large data set analysis provide a necessary but not sufficient foundation for nursing to participate in the big data revolution. Nursing's Social Policy Statement guides a principled, ethical perspective on big data and data science. There are implications for basic and advanced practice clinical nurses in practice, for the nurse scientist who collaborates with data scientists, and for the nurse data scientist. Big data and data science has the potential to provide greater richness in understanding patient phenomena and in tailoring interventional strategies that are personalized to the patient. © 2015 Sigma Theta Tau International.

Networking for Leadership, Inquiry, and Systemic Thinking: A New Approach to Inquiry-Based Learning.

ERIC Educational Resources Information Center

Byers, Al; Fitzgerald, Mary Ann

2002-01-01

Points out difficulties with a change from traditional teaching methods to a more inquiry-centered approach. Presents theoretical and empirical foundations for the Networking for Leadership, Inquiry, and Systemic Thinking (NLIST) initiative sponsored by the Council of State Science Supervisors (CSSS) and NASA, describes its progress, and outlines…

Embodying Earth's Place in the Solar System

ERIC Educational Resources Information Center

Plummer, Julia

2015-01-01

Elementary students find it difficult to connect the apparent motion of objects in the sky with how celestial objects actually move in the solar system. As a university astronomy education researcher, the author has been investigating methods to help children learn astronomy through workshops and summer camps at science museums and planetariums.…

Integration of Gross Anatomy in an Organ System-Based Medical Curriculum: Strategies and Challenges

ERIC Educational Resources Information Center

Brooks, William S.; Woodley, Kristina T. C. Panizzi; Jackson, James R.; Hoesley, Craig J.

2015-01-01

The University of Alabama School of Medicine (UASOM) instituted a fully integrated, organ system-based preclinical curriculum in 2007. Gross anatomy and embryology were integrated with other basic science disciplines throughout the first two years of undergraduate medical education. Here we describe the methods of instruction and integration of…

Implementation of Project Based Learning in Mechatronic Lab Course at Bandung State Polytechnic

ERIC Educational Resources Information Center

Basjaruddin, Noor Cholis; Rakhman, Edi

2016-01-01

Mechatronics is a multidisciplinary that includes a combination of mechanics, electronics, control systems, and computer science. The main objective of mechatronics learning is to establish a comprehensive mindset in the development of mechatronic systems. Project Based Learning (PBL) is an appropriate method for use in the learning process of…

Translations on USSR Science and Technology, Physical Sciences and Technology, Number 16

DTIC Science & Technology

1977-08-05

34INVESTIGATION OF SPLITTING OF LIGHT NUCLEI WITH HIGH-ENERGY y -RAYS WITH THE METHOD OF WILSON’S CHAMBER OPERATING IN POWERFUL BEAMS OF ELECTRONIC...boast high reliability, high speed, and extremely modest power requirements. Information oh the Screen Visual display devices greatly facilitate...area of application of these units Includes navigation, control of power systems, machine tools, and manufac- turing processes. Th» ^»abilities of

Core Science Systems--Mission overview

USGS Publications Warehouse

Gallagher, Kevin T.

2012-01-01

CSS provides a foundation for all USGS Mission Areas, as well as for the mission of the Department of the Interior (DOI), in the following ways: 1) Conducts basic and applied science research and development 2) Fosters broad understanding and application of analyses and information 3) Provides a framework for data and information sharing 4) Creates new geospatially enabled data and information 5) Provides technical expertise in standards and methods 6) Builds and facilitates partnerships and innovation

Collective Properties of Neural Systems and Their Relation to Other Physical Models

DTIC Science & Technology

1988-08-05

been computed explicitly. This has been achieved algorithmically by utilizing methods introduced earlier. It should be emphasized that in addition to...Research Institute for Mathematical Sciences. K’oto Universin. K roto 606. .apan and E. BAROUCH Department of Mathematics and Computer Sciene. Clarkon...Mathematics and Computer Science, Clarkson University, where this work was collaborated. References I. IBabu, S. V. and Barouch E., An exact soIlution for the

Transforming Elementary Science Teacher Education by Bridging Formal and Informal Science Education in an Innovative Science Methods Course

ERIC Educational Resources Information Center

Riedinger, Kelly; Marbach-Ad, Gili; McGinnis, J. Randy; Hestness, Emily; Pease, Rebecca

2011-01-01

We investigated curricular and pedagogical innovations in an undergraduate science methods course for elementary education majors at the University of Maryland. The goals of the innovative elementary science methods course included: improving students' attitudes toward and views of science and science teaching, to model innovative science teaching…

Benchmark Comparison of Cloud Analytics Methods Applied to Earth Observations

NASA Astrophysics Data System (ADS)

Lynnes, C.; Little, M. M.; Huang, T.; Jacob, J. C.; Yang, C. P.; Kuo, K. S.

2016-12-01

Cloud computing has the potential to bring high performance computing capabilities to the average science researcher. However, in order to take full advantage of cloud capabilities, the science data used in the analysis must often be reorganized. This typically involves sharding the data across multiple nodes to enable relatively fine-grained parallelism. This can be either via cloud-based filesystems or cloud-enabled databases such as Cassandra, Rasdaman or SciDB. Since storing an extra copy of data leads to increased cost and data management complexity, NASA is interested in determining the benefits and costs of various cloud analytics methods for real Earth Observation cases. Accordingly, NASA's Earth Science Technology Office and Earth Science Data and Information Systems project have teamed with cloud analytics practitioners to run a benchmark comparison on cloud analytics methods using the same input data and analysis algorithms. We have particularly looked at analysis algorithms that work over long time series, because these are particularly intractable for many Earth Observation datasets which typically store data with one or just a few time steps per file. This post will present side-by-side cost and performance results for several common Earth observation analysis operations.

Technology and Counseling

ERIC Educational Resources Information Center

Loughary, John W.

1977-01-01

Today's world is vastly technological, and counselors need to keep abreast of advances in computer science, biofeedback, and other technical systems. Counseling and technology from a larger perspective define technology as concepts and methods as well as hardware. (Author)

An introduction to implementation science for the non-specialist.

PubMed

Bauer, Mark S; Damschroder, Laura; Hagedorn, Hildi; Smith, Jeffrey; Kilbourne, Amy M

2015-09-16

The movement of evidence-based practices (EBPs) into routine clinical usage is not spontaneous, but requires focused efforts. The field of implementation science has developed to facilitate the spread of EBPs, including both psychosocial and medical interventions for mental and physical health concerns. The authors aim to introduce implementation science principles to non-specialist investigators, administrators, and policymakers seeking to become familiar with this emerging field. This introduction is based on published literature and the authors' experience as researchers in the field, as well as extensive service as implementation science grant reviewers. Implementation science is "the scientific study of methods to promote the systematic uptake of research findings and other EBPs into routine practice, and, hence, to improve the quality and effectiveness of health services." Implementation science is distinct from, but shares characteristics with, both quality improvement and dissemination methods. Implementation studies can be either assess naturalistic variability or measure change in response to planned intervention. Implementation studies typically employ mixed quantitative-qualitative designs, identifying factors that impact uptake across multiple levels, including patient, provider, clinic, facility, organization, and often the broader community and policy environment. Accordingly, implementation science requires a solid grounding in theory and the involvement of trans-disciplinary research teams. The business case for implementation science is clear: As healthcare systems work under increasingly dynamic and resource-constrained conditions, evidence-based strategies are essential in order to ensure that research investments maximize healthcare value and improve public health. Implementation science plays a critical role in supporting these efforts.

Proposal for research and education: joint lectures and practicals on central nervous system anatomy and physiology.

PubMed

Kageyama, Ikuo; Yoshimura, Ken; Satoh, Yoshihide; Nanayakkara, Chinthani D; Pallegama, Ranjith W; Iwasaki, Shin-Ichi

2016-07-01

We coordinated anatomy and physiology lectures and practicals to facilitate an integrated understanding of morphology and function in a basic medical science program for dental students and to reduce the time spent on basic science education. This method is a means to provide the essential information and skills in less time. The overall impression was that the practice of joint central nervous system lectures and practicals was an efficient method for students, which suggests that joint lectures might also be useful for clinical subjects. About two-thirds of students felt that the joint anatomy and physiology lecture on the central nervous system was useful and necessary in understanding the relationship between morphology and function, at least for this subject. One-third of students were neutral on the effectiveness of this method. However, the survey results suggest that improvements are needed in the method and timing of joint lectures and practicals. The present teaching approach can be further improved by conducting combined lectures in which the form and function of anatomic structures are presented by the relevant departments during the same lecture. Finally, joint lecturers and practicals offer an opportunity to increase student understanding of the importance of new research findings by the present authors and other researchers.

Cumulative reports and publications through December 31, 1989

NASA Technical Reports Server (NTRS)

1990-01-01

A complete list of reports from the Institute for Computer Applications in Science and Engineering (ICASE) is presented. The major categories of the current ICASE research program are: numerical methods, with particular emphasis on the development and analysis of basic numerical algorithms; control and parameter identification problems, with emphasis on effectual numerical methods; computational problems in engineering and the physical sciences, particularly fluid dynamics, acoustics, structural analysis, and chemistry; computer systems and software, especially vector and parallel computers, microcomputers, and data management. Since ICASE reports are intended to be preprints of articles that will appear in journals or conference proceedings, the published reference is included when it is available.

An engineering paradigm in the biomedical sciences: Knowledge as epistemic tool.

PubMed

Boon, Mieke

2017-10-01

In order to deal with the complexity of biological systems and attempts to generate applicable results, current biomedical sciences are adopting concepts and methods from the engineering sciences. Philosophers of science have interpreted this as the emergence of an engineering paradigm, in particular in systems biology and synthetic biology. This article aims at the articulation of the supposed engineering paradigm by contrast with the physics paradigm that supported the rise of biochemistry and molecular biology. This articulation starts from Kuhn's notion of a disciplinary matrix, which indicates what constitutes a paradigm. It is argued that the core of the physics paradigm is its metaphysical and ontological presuppositions, whereas the core of the engineering paradigm is the epistemic aim of producing useful knowledge for solving problems external to the scientific practice. Therefore, the two paradigms involve distinct notions of knowledge. Whereas the physics paradigm entails a representational notion of knowledge, the engineering paradigm involves the notion of 'knowledge as epistemic tool'. Copyright © 2017 Elsevier Ltd. All rights reserved.

From academic to applied: Operationalising resilience in river systems

NASA Astrophysics Data System (ADS)

Parsons, Melissa; Thoms, Martin C.

2018-03-01

The concept of resilience acknowledges the ability of societies to live and develop with dynamic environments. Given the recognition of the need to prepare for anticipated and unanticipated shocks, applications of resilience are increasing as the guiding principle of public policy and programs in areas such as disaster management, urban planning, natural resource management, and climate change adaptation. River science is an area in which the adoption of resilience is increasing, leading to the proposition that resilience may become a guiding principle of river policy and programs. Debate about the role of resilience in rivers is part of the scientific method, but disciplinary disunity about the ways to approach resilience application in policy and programs may leave river science out of the policy process. We propose six elements that need to be considered in the design and implementation of resilience-based river policy and programs: rivers as social-ecological systems; the science-policy interface; principles, capacities, and characteristics of resilience; cogeneration of knowledge; adaptive management; and the state of the science of resilience.

Thinking about complexity in health: A systematic review of the key systems thinking and complexity ideas in health.

PubMed

Rusoja, Evan; Haynie, Deson; Sievers, Jessica; Mustafee, Navonil; Nelson, Fred; Reynolds, Martin; Sarriot, Eric; Swanson, Robert Chad; Williams, Bob

2018-01-30

As the Sustainable Development Goals are rolled out worldwide, development leaders will be looking to the experiences of the past to improve implementation in the future. Systems thinking and complexity science (ST/CS) propose that health and the health system are composed of dynamic actors constantly evolving in response to each other and their context. While offering practical guidance for steering the next development agenda, there is no consensus as to how these important ideas are discussed in relation to health. This systematic review sought to identify and describe some of the key terms, concepts, and methods in recent ST/CS literature. Using the search terms "systems thinkin * AND health OR complexity theor* AND health OR complex adaptive system* AND health," we identified 516 relevant full texts out of 3982 titles across the search period (2002-2015). The peak number of articles were published in 2014 (83) with journals specifically focused on medicine/healthcare (265) and particularly the Journal of Evaluation in Clinical Practice (37) representing the largest number by volume. Dynamic/dynamical systems (n = 332), emergence (n = 294), complex adaptive system(s) (n = 270), and interdependent/interconnected (n = 263) were the most common terms with systems dynamic modelling (58) and agent-based modelling (43) as the most common methods. The review offered several important conclusions. First, while there was no core ST/CS "canon," certain terms appeared frequently across the reviewed texts. Second, even as these ideas are gaining traction in academic and practitioner communities, most are concentrated in a few journals. Finally, articles on ST/CS remain largely theoretical illustrating the need for further study and practical application. Given the challenge posed by the next phase of development, gaining a better understanding of ST/CS ideas and their use may lead to improvements in the implementation and practice of the Sustainable Development Goals. Key messages Systems thinking and complexity science, theories that acknowledge the dynamic, connected, and context-dependent nature of health, are highly relevant to the post-millennium development goal era yet lack consensus on their use in relation to health Although heterogeneous, terms, and concepts like emergence, dynamic/dynamical Systems, nonlinear(ity), and interdependent/interconnected as well as methods like systems dynamic modelling and agent-based modelling that comprise systems thinking and complexity science in the health literature are shared across an increasing number of publications within medical/healthcare disciplines Planners, practitioners, and theorists that can better understand these key systems thinking and complexity science concepts will be better equipped to tackle the challenges of the upcoming development goals. © 2018 John Wiley & Sons, Ltd.

Steering Quantum Dynamics of a Two-Qubit System via Optimal Bang-Bang Control

NASA Astrophysics Data System (ADS)

Hu, Juju; Ke, Qiang; Ji, Yinghua

2018-02-01

The optimization of control time for quantum systems has been an important field of control science attracting decades of focus, which is beneficial for efficiency improvement and decoherence suppression caused by the environment. Based on analyzing the advantages and disadvantages of the existing Lyapunov control, using a bang-bang optimal control technique, we investigate the fast state control in a closed two-qubit quantum system, and give three optimized control field design methods. Numerical simulation experiments indicate the effectiveness of the methods. Compared to the standard Lyapunov control or standard bang-bang control method, the optimized control field design methods effectively shorten the state control time and avoid high-frequency oscillation that occurs in bang-bang control.

From PCK to TPACK: Developing a Transformative Model for Pre-Service Science Teachers

NASA Astrophysics Data System (ADS)

Jang, Syh-Jong; Chen, Kuan-Chung

2010-12-01

New science teachers should be equipped with the ability to integrate and design the curriculum and technology for innovative teaching. How to integrate technology into pre-service science teachers' pedagogical content knowledge is the important issue. This study examined the impact on a transformative model of integrating technology and peer coaching for developing technological pedagogical and content knowledge (TPACK) of pre-service science teachers. A transformative model and an online system were designed to restructure science teacher education courses. Participants of this study included an instructor and 12 pre-service teachers. The main sources of data included written assignments, online data, reflective journals, videotapes and interviews. This study expanded four views, namely, the comprehensive, imitative, transformative and integrative views to explore the impact of TPACK. The model could help pre-service teachers develop technological pedagogical methods and strategies of integrating subject-matter knowledge into science lessons, and further enhanced their TPACK.

Inquiring into Three Approaches to Hands-On Learning in Elementary and Secondary Science Methods Courses.

ERIC Educational Resources Information Center

Barnes, Marianne B.; Foley, Kathleen R.

1999-01-01

Investigates three approaches to hands-on science learning in two contexts, an elementary science methods class and a secondary science methods class. Focused on an activity on foam. Concludes that when developing models for teaching science methods courses, methods instructors need to share power with prospective teachers. (Author/MM)

A look towards the future in the handling of space science mission geometry

NASA Astrophysics Data System (ADS)

Acton, Charles; Bachman, Nathaniel; Semenov, Boris; Wright, Edward

2018-01-01

The "SPICE" system has been widely used since the days of the Magellan mission to Venus as the method for scientists and engineers to access a variety of space mission geometry such as positions, velocities, directions, orientations, sizes and shapes, and field-of-view projections (Acton, 1996). While originally focused on supporting NASA's planetary missions, the use of SPICE has slowly grown to include most worldwide planetary missions, and it has also been finding application in heliophysics and other space science disciplines. This paper peeks under the covers to see what new capabilities are being developed or planned at SPICE headquarters to better support the future of space science. The SPICE system is implemented and maintained by NASA's Navigation and Ancillary Information Facility (NAIF) located at the Jet Propulsion Laboratory in Pasadena, California (http://naif.jpl.nasa.gov).

Developments of a new data acquisition system at ANNRI

NASA Astrophysics Data System (ADS)

Nakao, T.; Terada, K.; Kimura, A.; Nakamura, S.; Iwamoto, O.; Harada, H.; Katabuchi, T.; Igashira, M.; Hori, J.

2017-09-01

A new data acquisition system (DAQ system) has been developed at the Accurate Neutron-Nucleus Reaction Measurement Instrument (ANNRI) facility in the Japan Proton Accelerator Research Complex, Materials and Life Science Experimental Facility (J-PARC/MLF). DAQ systems for both the Ge detector system and the Li-glass detector system were tested by using a gold sample. The applicability of the time-of-flight method was checked. System performance was evaluated on the basis of digital conversion nonlinearity, energy resolution, multi-channel coincidence and dead time.

Advanced Information Technology Investments at the NASA Earth Science Technology Office

NASA Astrophysics Data System (ADS)

Clune, T.; Seablom, M. S.; Moe, K.

2012-12-01

The NASA Earth Science Technology Office (ESTO) regularly makes investments for nurturing advanced concepts in information technology to enable rapid, low-cost acquisition, processing and visualization of Earth science data in support of future NASA missions and climate change research. In 2012, the National Research Council published a mid-term assessment of the 2007 decadal survey for future spacemissions supporting Earth science and applications [1]. The report stated, "Earth sciences have advanced significantly because of existing observational capabilities and the fruit of past investments, along with advances in data and information systems, computer science, and enabling technologies." The report found that NASA had responded favorably and aggressively to the decadal survey and noted the role of the recent ESTO solicitation for information systems technologies that partnered with the NASA Applied Sciences Program to support the transition into operations. NASA's future missions are key stakeholders for the ESTO technology investments. Also driving these investments is the need for the Agency to properly address questions regarding the prediction, adaptation, and eventual mitigation of climate change. The Earth Science Division has championed interdisciplinary research, recognizing that the Earth must be studied as a complete system in order toaddress key science questions [2]. Information technology investments in the low-mid technology readiness level (TRL) range play a key role in meeting these challenges. ESTO's Advanced Information Systems Technology (AIST) program invests in higher risk / higher reward technologies that solve the most challenging problems of the information processing chain. This includes the space segment, where the information pipeline begins, to the end user, where knowledge is ultimatelyadvanced. The objectives of the program are to reduce the risk, cost, size, and development time of Earth Science space-based and ground-based systems, increase the accessibility and utility of science data, and to enable new observation measurements and information products. We will discuss the ESTO investment strategy for information technology development, the methods used to assess stakeholder needs and technology advancements, and technology partnerships to enhance the infusion for the resulting technology. We also describe specific investments and their potential impact on enabling NASA missions and scientific discovery. [1] "Earth Science and Applications from Space: A Midterm Assessment of NASA's Implementation of the Decadal Survey", 2012: National Academies Press, http://www.nap.edu/catalog.php?record_id=13405 [2] "Responding to the Challenge of Climate and Environmental Change: NASA's Plan for a Climate-Centric Architecture for Earth Observations and Applications from Space", 2010: NASA Tech Memo, http://science.nasa.gov/media/medialibrary/2010/07/01/Climate_Architecture_Final.pdf

Online course delivery modes and design methods in the radiologic sciences.

PubMed

Kowalczyk, Nina; Copley, Stacey

2013-01-01

To determine the current status of online education in the radiologic sciences and to explore learning management systems, course design methods, and online educational tools used in the radiologic sciences. A random sample of 373 educators from Joint Review Committee-accredited radiography, radiation therapy, and nuclear medicine technology educational programs was invited to participate in this study with an online survey. The majority of the programs responding to the survey do not offer online core courses. However, the institutions that do provide online core radiologic courses reported limited use of online tools for course delivery. BlackBoard was reported as the most commonly used learning management system. No significant relationships were identified in reference to self-reported instructor information technology self-efficacy and the instructors' age, years of teaching in higher education, years of teaching online, or use of asynchronous and synchronous technologies. Survey results did demonstrate a significant relationship between the type of institution and the use of synchronous technologies, suggesting that university-based programs were more likely to use this technology. Although the results suggest that online distance education is still not prevalent in radiologic science education, the past 3 years have seen a substantial increase in online course activity. This increase emphasizes the importance of adequate educator instruction and continuing education in the use of interactive technologies for online content delivery. Most educators report receiving 1 to 4 hours of training prior to online course implementation, but additional postimplementation training is necessary to improve the success of online delivery and further integrate interactive learning activities into an online format. The traditional classroom setting is still the primary course offering for radiologic science programs. PowerPoint remains the primary content delivery tool, suggesting a need for educators to incorporate tools that promote student interactions and interactive learning. Although the results did not reveal a significant relationship between assessed factors, the small correlations identified suggest that the younger instructors have a higher information technology self-efficacy. In addition, survey results suggest that instructors responding to this survey received limited training in reference to online course methods and design both before and after implementing an online course. Although educators may not have a choice regarding the system adopted by their university or college, they should seek additional training regarding the best tools available for online course delivery methods.

Quantitative Velocity Field Measurements in Reduced-Gravity Combustion Science and Fluid Physics Experiments

NASA Technical Reports Server (NTRS)

Greenberg, Paul S.; Wernet, Mark P.

1999-01-01

Systems have been developed and demonstrated for performing quantitative velocity measurements in reduced gravity combustion science and fluid physics investigations. The unique constraints and operational environments inherent to reduced-gravity experimental facilities pose special challenges to the development of hardware and software systems. Both point and planar velocimetric capabilities are described, with particular attention being given to the development of systems to support the International Space Station laboratory. Emphasis has been placed on optical methods, primarily arising from the sensitivity of the phenomena of interest to intrusive probes. Limitations on available power, volume, data storage, and attendant expertise have motivated the use of solid-state sources and detectors, as well as efficient analysis capabilities emphasizing interactive data display and parameter control.

In the Footsteps of Galileo

NASA Astrophysics Data System (ADS)

Erickson, John; van der Veen, W.; Moody, T.; O'Dea, T.

2008-05-01

This workshop links the goals of IYA to needs in science education. Lack of understanding of how science is practiced exists at all levels of society and is perpetuated by the way science is presented in classrooms and informal settings, often illustrated by the scientific method as a rigid multi-step process. This workshop presents an alternative to misleading scientific method lessons by highlighting some of Galileo's work. Looking through his telescope at four moons orbiting the planet Jupiter, Galileo gave priority to evidence over popular belief, completely changing the existing world view. We have adapted an activity developed by UC Berkeley's Lawrence Hall of Science in which students simulate observations of Jupiter's moons over several nights. The activity emphasizes the nature of science in regard to observations, evidence, predictions, models, hypotheses, and theories. A direct link is made between Galileo's work and the Five Essential Features of Inquiry as outlined in the National Science Education Standards. Participants will "observe” the Galilean moons of Jupiter, record data, make predictions, and analyze and model the data to determine orbital periods and distances for each moon. Extensions of this activity will be presented, including comparisons of the Jupiter system to the Earth-Moon system. Participants will also learn about Slooh, a robotic telescope that can be used by students to obtain their own images of Jupiter and its moons. As one way to have a multitude of learners in a variety of settings participate in IYA, this activity will be made available to many audiences for presentation in the fall of 2009. Participants in this workshop will discuss adaptations suitable for different groups and mechanisms for encouraging and enabling the presentation of this activity. Participants will receive a preliminary version of the adapted Jupiter activity and the BSCS publication: "Why Does Inquiry Matter?"

Applications of hybrid and digital computation methods in aerospace-related sciences and engineering. [problem solving methods at the University of Houston

NASA Technical Reports Server (NTRS)

Huang, C. J.; Motard, R. L.

1978-01-01

The computing equipment in the engineering systems simulation laboratory of the Houston University Cullen College of Engineering is described and its advantages are summarized. The application of computer techniques in aerospace-related research psychology and in chemical, civil, electrical, industrial, and mechanical engineering is described in abstracts of 84 individual projects and in reprints of published reports. Research supports programs in acoustics, energy technology, systems engineering, and environment management as well as aerospace engineering.

Integrating Science and Engineering to Implement Evidence-Based Practices in Health Care Settings

PubMed Central

Wu, Shinyi; Duan, Naihua; Wisdom, Jennifer P.; Kravitz, Richard L.; Owen, Richard R.; Sullivan, Greer; Wu, Albert W.; Di Capua, Paul; Hoagwood, Kimberly Eaton

2015-01-01

Integrating two distinct and complementary paradigms, science and engineering, may produce more effective outcomes for the implementation of evidence-based practices in health care settings. Science formalizes and tests innovations, whereas engineering customizes and optimizes how the innovation is applied tailoring to accommodate local conditions. Together they may accelerate the creation of an evidence-based healthcare system that works effectively in specific health care settings. We give examples of applying engineering methods for better quality, more efficient, and safer implementation of clinical practices, medical devices, and health services systems. A specific example was applying systems engineering design that orchestrated people, process, data, decision-making, and communication through a technology application to implement evidence-based depression care among low-income patients with diabetes. We recommend that leading journals recognize the fundamental role of engineering in implementation research, to improve understanding of design elements that create a better fit between program elements and local context. PMID:25217100

Small-Group Problem-Based Learning as a Complex Adaptive System

ERIC Educational Resources Information Center

Mennin, Stewart

2007-01-01

Small-group problem-based learning (PBL) is widely embraced as a method of study in health professions schools and at many different levels of education. Complexity science provides a different lens with which to view and understand the application of this method. It presents new concepts and vocabulary that may be unfamiliar to practitioners of…

TAMPA BAY MODEL EVALUATION AND ASSESSMENT

EPA Science Inventory

A long term goal of multimedia environmental management is to achieve sustainable ecological resources. Progress towards this goal rests on a foundation of science-based methods and data integrated into predictive multimedia, multi-stressor open architecture modeling systems. The...

Amplitude-Phase Modulation, Topological Horseshoe and Scaling Attractor of a Dynamical System

NASA Astrophysics Data System (ADS)

Li, Chun-Lai; Li, Wen; Zhang, Jing; Xie, Yuan-Xi; Zhao, Yi-Bo

2016-09-01

A three-dimensional autonomous chaotic system is discussed in this paper. Some basic dynamical properties of the system, including phase portrait, Poincaré map, power spectrum, Kaplan-Yorke dimension, Lyapunov exponent spectra, signal amplitude and topological horseshoe are studied theoretically and numerically. The main finding by analysis is that the signal amplitude can be modulated via controlling the coefficients of the linear term, cross-product term and squared term simultaneously or respectively, and the phase of x3 can be modulated by the product of the coefficients of the linear term and cross-product term. Furthermore, scaling chaotic attractors of this system are achieved by modified projective synchronization with an optimization-based linear coupling method, which is safer for secure communications than the existed synchronization scheme since the scaling factors can be regarded as the security encoding key. Supported by Hunan Provincial Natural Science Foundation of China under Grant No. 2016JJ4036, University Natural Science Foundation of Jiangsu Province under Grant No. 14KJB120007 and the National Natural Science Foundation of China under Grant Nos. 11504176 and 11602084

System and method for confining an object to a region of fluid flow having a stagnation point

NASA Technical Reports Server (NTRS)

Schroeder, Charles M. (Inventor); Babcock, Hazen P. (Inventor); Shaqfeh, Eric S. G. (Inventor); Chu, Steven (Inventor)

2006-01-01

A device for confining an object to a region proximate to a fluid flow stagnation point includes one or more inlets for carrying the fluid into the region, one or more outlets for carrying the fluid out of the region, and a controller, in fluidic communication with the inlets and outlets, for adjusting the motion of the fluid to produce a stagnation point in the region, thereby confining the object to the region. Applications include, for example, prolonged observation of the object, manipulation of the object, etc. The device optionally may employ a feedback control mechanism, a sensing apparatus (e.g., for imaging), and a storage medium for storing, and a computer for analyzing and manipulating, data acquired from observing the object. The invention further provides methods of using such a device and system in a number of fields, including biology, chemistry, physics, material science, and medical science.

Can biosemiotics be a "science" if its purpose is to be a bridge between the natural, social and human sciences?

PubMed

Brier, Søren

2015-12-01

Central to the attempt to develop a biosemiotics has been the discussion of what it means to be scientific. In Marcello Barbieri's latest argument for leaving Peircean biosemiotics and creating an alternative code-biology the definition of what it means to be scientific plays a major role. For Barbieri "scientific knowledge is obtained by building machine-like models of what we observe in nature". Barbieri interestingly claims that - in combination with the empirical and experimental basis - mechanism is virtually equivalent to the scientific method. The consequences of this statement seem to be that the optimal type of knowledge science can produce about living system is to model them as machines. But the explicit goal of a Peircean semiotically based biosemiotics is (also) to model living systems as cognitive and communicative systems working on the basis of meaning and signification. These two concepts are not part of the mechanistic models of natural science today, not even of cognitive science. Barbieri tries to solve this problem by introducing a new concept of biological meaning that is separate from the Peircean biosemiotics and then add Peirce's semiotics on top. This article argues why this view is inconsistent on the grounds that Peirce's semiotic paradigm only gives meaning in its pragmaticist conception of a fallibilist view of science, which again is intrinsic connected to its non-mechanistic metaphysics of Tychism, Synechism and Agapism. The core of the biosemiotic enterprise is to establish another type of trans- and interdisciplinary wissenschaft than the received view of "science". Copyright © 2015. Published by Elsevier Ltd.

2005 Science and Technology for Chem-Bio Information Systems (S and T CBIS). Volume 2 - Wednesday

DTIC Science & Technology

2005-10-28

historical example of using both an audible and visual alerting method. In April 1775, Revere hung two lanterns in the bell-tower of Christ Church in...individual building systems, outdoor systems, telephone notification systems and a network of alert sensors . Fire protection systems are often... sensor , be it a pushbutton at a gate, a wireless “panic” button or a CBRNE detector, may be programmed to trigger notifications without further

Data based identification and prediction of nonlinear and complex dynamical systems

NASA Astrophysics Data System (ADS)

Wang, Wen-Xu; Lai, Ying-Cheng; Grebogi, Celso

2016-07-01

The problem of reconstructing nonlinear and complex dynamical systems from measured data or time series is central to many scientific disciplines including physical, biological, computer, and social sciences, as well as engineering and economics. The classic approach to phase-space reconstruction through the methodology of delay-coordinate embedding has been practiced for more than three decades, but the paradigm is effective mostly for low-dimensional dynamical systems. Often, the methodology yields only a topological correspondence of the original system. There are situations in various fields of science and engineering where the systems of interest are complex and high dimensional with many interacting components. A complex system typically exhibits a rich variety of collective dynamics, and it is of great interest to be able to detect, classify, understand, predict, and control the dynamics using data that are becoming increasingly accessible due to the advances of modern information technology. To accomplish these goals, especially prediction and control, an accurate reconstruction of the original system is required. Nonlinear and complex systems identification aims at inferring, from data, the mathematical equations that govern the dynamical evolution and the complex interaction patterns, or topology, among the various components of the system. With successful reconstruction of the system equations and the connecting topology, it may be possible to address challenging and significant problems such as identification of causal relations among the interacting components and detection of hidden nodes. The "inverse" problem thus presents a grand challenge, requiring new paradigms beyond the traditional delay-coordinate embedding methodology. The past fifteen years have witnessed rapid development of contemporary complex graph theory with broad applications in interdisciplinary science and engineering. The combination of graph, information, and nonlinear dynamical systems theories with tools from statistical physics, optimization, engineering control, applied mathematics, and scientific computing enables the development of a number of paradigms to address the problem of nonlinear and complex systems reconstruction. In this Review, we describe the recent advances in this forefront and rapidly evolving field, with a focus on compressive sensing based methods. In particular, compressive sensing is a paradigm developed in recent years in applied mathematics, electrical engineering, and nonlinear physics to reconstruct sparse signals using only limited data. It has broad applications ranging from image compression/reconstruction to the analysis of large-scale sensor networks, and it has become a powerful technique to obtain high-fidelity signals for applications where sufficient observations are not available. We will describe in detail how compressive sensing can be exploited to address a diverse array of problems in data based reconstruction of nonlinear and complex networked systems. The problems include identification of chaotic systems and prediction of catastrophic bifurcations, forecasting future attractors of time-varying nonlinear systems, reconstruction of complex networks with oscillatory and evolutionary game dynamics, detection of hidden nodes, identification of chaotic elements in neuronal networks, reconstruction of complex geospatial networks and nodal positioning, and reconstruction of complex spreading networks with binary data.. A number of alternative methods, such as those based on system response to external driving, synchronization, and noise-induced dynamical correlation, will also be discussed. Due to the high relevance of network reconstruction to biological sciences, a special section is devoted to a brief survey of the current methods to infer biological networks. Finally, a number of open problems including control and controllability of complex nonlinear dynamical networks are discussed. The methods outlined in this Review are principled on various concepts in complexity science and engineering such as phase transitions, bifurcations, stabilities, and robustness. The methodologies have the potential to significantly improve our ability to understand a variety of complex dynamical systems ranging from gene regulatory systems to social networks toward the ultimate goal of controlling such systems.

A semi-analytical method for the computation of the Lyapunov exponents of fractional-order systems

NASA Astrophysics Data System (ADS)

Caponetto, Riccardo; Fazzino, Stefano

2013-01-01

Fractional-order differential equations are interesting for their applications in the construction of mathematical models in finance, materials science or diffusion. In this paper, an application of a well known transformation technique, Differential Transform Method (DTM), to the area of fractional differential equation is employed for calculating Lyapunov exponents of fractional order systems. It is known that the Lyapunov exponents, first introduced by Oseledec, play a crucial role in characterizing the behaviour of dynamical systems. They can be used to analyze the sensitive dependence on initial conditions and the presence of chaotic attractors. The results reveal that the proposed method is very effective and simple and leads to accurate, approximately convergent solutions.

Incorporating Formative Assessment and Science Content into Elementary Science Methods--A Case Study

ERIC Educational Resources Information Center

Brower, Derek John

2012-01-01

Just as elementary students enter the science classroom with prior knowledge and experiences, so do preservice elementary teachers who enter the science methods classroom. Elementary science methods instructors recognize the challenges associated with preparing teachers for the science classroom. Two of these challenges include overcoming limited…

ONRASIA Scientific Information Bulletin. Volume 8, Number 3, July- September 1993

DTIC Science & Technology

1993-09-01

the Ninth Symposium on Preconditioned Conjugate Dr. Steven F. Ashby Gradient Methods , which he organized. Computing Sciences Department Computing...ditioned Conjugate Gradient Methods , held at Keio chines and is currently a topic of considerable University (Yokohama). During this meeting, I interest...in the United States. In Japan, on the other discussed iterative methods for linear systems with hand, this technique does not appear to be too well

Multi-scale and Multi-physics Numerical Methods for Modeling Transport in Mesoscopic Systems

DTIC Science & Technology

2014-10-13

function and wide band Fast multipole methods for Hankel waves. (2) a new linear scaling discontinuous Galerkin density functional theory, which provide a...inflow boundary condition for Wigner quantum transport equations. Also, a book titled "Computational Methods for Electromagnetic Phenomena...equationsin layered media with FMM for Bessel functions , Science China Mathematics, (12 2013): 2561. doi: TOTAL: 6 Number of Papers published in peer

Developing stereo image based robot control system

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

Suprijadi,; Pambudi, I. R.; Woran, M.

Application of image processing is developed in various field and purposes. In the last decade, image based system increase rapidly with the increasing of hardware and microprocessor performance. Many fields of science and technology were used this methods especially in medicine and instrumentation. New technique on stereovision to give a 3-dimension image or movie is very interesting, but not many applications in control system. Stereo image has pixel disparity information that is not existed in single image. In this research, we proposed a new method in wheel robot control system using stereovision. The result shows robot automatically moves based onmore » stereovision captures.« less

An Advanced Computational Approach to System of Systems Analysis & Architecting Using Agent-Based Behavioral Model: Phase 2

DTIC Science & Technology

2013-11-18

for each valid interface between the systems. The factor is proportional to the count of feasible interfaces in the meta-architecture framework... proportional to the square root of the sector area being covered by each type of system, plus some time for transmitting data to, and double checking by, the...22] J.-H. Ahn, "An Archietcture Description method for Acknowledged System of Systems based on Federated Architeture ," in Advanced Science and

Report of the Federation of European Laboratory Animal Science Associations Working Group on animal identification.

PubMed

Dahlborn, K; Bugnon, P; Nevalainen, T; Raspa, M; Verbost, P; Spangenberg, E

2013-01-01

The primary aim of this report is to assist scientists in selecting more reliable/suitable identification (ID) methods for their studies. This is especially true for genetically altered (GA) animals where individual identification is strictly necessary to link samples, research design and genotype. The aim of this Federation of European Laboratory Animal Science Associations working group was to provide an update of the methods used to identify rodents in different situations and to assess their implications for animal welfare. ID procedures are an indispensable prerequisite for conducting good science but the degree of invasiveness differs between the different methods; therefore, one needs to make a good ethical evaluation of the method chosen. Based on the scientific literature the advantages and disadvantages of various methods have been presented comprehensively and this report is intended as a practical guide for researchers. New upcoming methods have been included next to the traditional techniques. Ideally, an ID method should provide reliable identification, be technically easy to apply and not inflict adverse effects on animals while taking into account the type of research. There is no gold standard method because each situation is unique; however, more studies are needed to better evaluate ID systems and the desirable introduction of new and modern approaches will need to be assessed by detailed scientific evaluation.

A Reinvestigation of Transients in the Cyclopropane System by the Variable Encounter Method.

DTIC Science & Technology

1980-09-15

Code 260 Code AFRPL MKPA Arlingon, VA 22217 Edwards AFB, CA 93523 Attn: Mr. 0. Siegel Attn: Or. F. Roberto Office of Naval Research I AFSC Western Office...Office of Naval Research 2 Scientific Research Eastern Central Regional Directorate of Chemical & Office Atmospheric Sciences 495 Sumer Street Bolling ...I Directorate of Aero- San Francisco Area Office space Sciences One Hallidie Plaza Suite 601 Bolling Air Force Base San Francisco, CA 94102

Cumulative reports and publications through December 31, 1991

NASA Technical Reports Server (NTRS)

1992-01-01

A reports and publications list is given from the Institute for Computer Applications in Science and Engineering (ICASE) through December 31, 1991. The major categories of the current ICASE research program are; numerical methods, control and parameter identification problems, computational problems in engineering and the physical sciences, and computer systems and software. Since ICASE reports are intended to be preprints of articles that will appear in journals or conference proceedings, the published reference is included when available.

A COTS-Based Attitude Dependent Contact Scheduling System

NASA Technical Reports Server (NTRS)

DeGumbia, Jonathan D.; Stezelberger, Shane T.; Woodard, Mark

2006-01-01

The mission architecture of the Gamma-ray Large Area Space Telescope (GLAST) requires a sophisticated ground system component for scheduling the downlink of science data. Contacts between the ````````````````` satellite and the Tracking and Data Relay Satellite System (TDRSS) are restricted by the limited field-of-view of the science data downlink antenna. In addition, contacts must be scheduled when permitted by the satellite s complex and non-repeating attitude profile. Complicating the matter further, the long lead-time required to schedule TDRSS services, combined with the short duration of the downlink contact opportunities, mandates accurate GLAST orbit and attitude modeling. These circumstances require the development of a scheduling system that is capable of predictively and accurately modeling not only the orbital position of GLAST but also its attitude. This paper details the methods used in the design of a Commercial Off The Shelf (COTS)-based attitude-dependent. TDRSS contact Scheduling system that meets the unique scheduling requirements of the GLAST mission, and it suggests a COTS-based scheduling approach to support future missions. The scheduling system applies filtering and smoothing algorithms to telemetered GPS data to produce high-accuracy predictive GLAST orbit ephemerides. Next, bus pointing commands from the GLAST Science Support Center are used to model the complexities of the two dynamic science gathering attitude modes. Attitude-dependent view periods are then generated between GLAST and each of the supporting TDRSs. Numerous scheduling constraints are then applied to account for various mission specific resource limitations. Next, an optimization engine is used to produce an optimized TDRSS contact schedule request which is sent to TDRSS scheduling for confirmation. Lastly, the confirmed TDRSS contact schedule is rectified with an updated ephemeris and adjusted bus pointing commands to produce a final science downlink contact schedule.

Conceptions of systemic reform: California science education as an investigative example

NASA Astrophysics Data System (ADS)

Sachse, Thomas Paul

This study explored three perspectives of systemic reform in the context of the California state strategies for improving science education. The three perspectives are those of conceptualizers, implementers, and government administrators. The California case study is examined during the ten-year period from 1983 to 1993. This study is of particular significance, because it examines science education reforms during the ten-year period of Bill Honig's state superintendency in the largest and most diverse state. By examining the facets of state science reforms from three rather different perspectives, the study contrasts how systemic reform definitions vary with role. This qualitative study employs document analysis, archival reviews, and participant interviews as the primary data collection methods. Document analysis included key curriculum frameworks, project proposals and reports, relevant legislation, and professional correspondence. Archival reviews included databases (such as the California Basic Educational Data System), assessment reports (such as the California Assessment Program---Rationale and Content), and policy analyses (such as the Policy Analysis for California Education---Conditions of Education). Interviews were conducted for each of the three perspectives across five segments of the reform strategy for a total of fifteen interviews. Data analysis consisted of combining detailed reviews of documents, archives, and interview information with an examination of perspectives, by role group. The study concludes with an analysis of how each role group perceived the facets of systemic reform in the context of the California case study of science education reform. In addition, the research points to "lessons learned", the strengths and weaknesses of systemic reform strategies at the state level. The study offers recommendations to other large-scale (state level) policy reformers interested in creating, sustaining, and maintaining lasting change.

Perceptions of the use of intelligent information access systems in university level active learning activities among teachers of biomedical subjects.

PubMed

Aparicio, Fernando; Morales-Botello, María Luz; Rubio, Margarita; Hernando, Asunción; Muñoz, Rafael; López-Fernández, Hugo; Glez-Peña, Daniel; Fdez-Riverola, Florentino; de la Villa, Manuel; Maña, Manuel; Gachet, Diego; Buenaga, Manuel de

2018-04-01

Student participation and the use of active methodologies in classroom learning are being increasingly emphasized. The use of intelligent systems can be of great help when designing and developing these types of activities. Recently, emerging disciplines such as 'educational data mining' and 'learning analytics and knowledge' have provided clear examples of the importance of the use of artificial intelligence techniques in education. The main objective of this study was to gather expert opinions regarding the benefits of using complementary methods that are supported by intelligent systems, specifically, by intelligent information access systems, when processing texts written in natural language and the benefits of using these methods as companion tools to the learning activities that are employed by biomedical and health sciences teachers. Eleven teachers of degree courses who belonged to the Faculties of Biomedical Sciences (BS) and Health Sciences (HS) of a Spanish university in Madrid were individually interviewed. These interviews were conducted using a mixed methods questionnaire that included 66 predefined close-ended and open-ended questions. In our study, three intelligent information access systems (i.e., BioAnnote, CLEiM and MedCMap) were successfully used to evaluate the teacher's perceptions regarding the utility of these systems and their different methods in learning activities. All teachers reported using active learning methods in the classroom, most of which were computer programs that were used for initially designing and later executing learning activities. All teachers used case-based learning methods in the classroom, with a specific emphasis on case reports written in Spanish and/or English. In general, few or none of the teachers were familiar with the technical terms related to the technologies used for these activities such as "intelligent systems" or "concept/mental maps". However, they clearly realized the potential applicability of such approaches in both the preparation and the effective use of these activities in the classroom. Specifically, the themes highlighted by a greater number of teachers after analyzing the responses to the open-ended questions were the usefulness of BioAnnote system to provide reliable sources of medical information and the usefulness of the bilingual nature of CLEiM system for learning medical terminology in English. Three intelligent information access systems were successfully used to evaluate the teacher's perceptions regarding the utility of these systems in learning activities. The results of this study showed that integration of reliable sources of information, bilingualism and selective annotation of concepts were the most valued features by the teachers, who also considered the incorporation of these systems into learning activities to be potentially very useful. In addition, in the context of our experimental conditions, our work provides useful insights into the way to appropriately integrate this type of intelligent information access systems into learning activities, revealing key themes to consider when developing such approaches. Copyright © 2017 The Authors. Published by Elsevier B.V. All rights reserved.

Crowdsourcing conservation: The role of citizen science in securing a future for seagrass.

PubMed

Jones, Benjamin L; Unsworth, Richard K F; McKenzie, Len J; Yoshida, Rudi L; Cullen-Unsworth, Leanne C

2017-11-11

Seagrass meadows are complex social-ecological systems. Understanding seagrass meadows demands a fresh approach integrating "the human dimension". Citizen science is widely acknowledged for providing significant contributions to science, education, society and policy. Although the take up of citizen science in the marine environment has been slow, the need for such methods to fill vast information gaps is arguably great. Seagrass meadows are easy to access and provide an example of where citizen science is expanding. Technological developments have been pivotal to this, providing new opportunities for citizens to engage with seagrass. The increasing use of online tools has created opportunities to collect and submit as well as help process and analyse data. Citizen science has helped researchers integrate scientific and local knowledge and engage communities to implement conservation measures. Here we use a selection of examples to demonstrate how citizen science can secure a future for seagrass. Copyright © 2017 Elsevier Ltd. All rights reserved.

Strategic Approaches to Trading Science Objectives Against Measurements and Mission Design: Mission Architecture and Concept Maturation at the Jet Propulsion Laboratory

NASA Astrophysics Data System (ADS)

Case, K. E.; Nash, A. E., III

2017-12-01

Earth Science missions are increasingly challenged to improve our state of the art through more sophisticated hypotheses and inclusion of advanced technologies. However, science return needs to be constrained to the cost environment. Selectable mission concepts are the result of an overlapping Venn diagram of compelling science, feasible engineering solutions, and programmatic acceptable costs, regardless of whether the science investigation is Earth Venture or Decadal class. Since the last Earth Science and Applications Decadal Survey released in 2007, many new advanced technologies have emerged, in instrument, SmallSat flight systems, and launch service capabilities, enabling new mission architectures. These mission architectures may result in new thinking about how we achieve and collect science measurements, e.g., how to improve time-series measurements. We will describe how the JPL Formulation Office is structured to integrate methods, tools, and subject matter experts to span the mission concept development lifecycle, and assist Principal Investigators in maturing their mission ideas into realizable concepts.

Cognitive computing and eScience in health and life science research: artificial intelligence and obesity intervention programs.

PubMed

Marshall, Thomas; Champagne-Langabeer, Tiffiany; Castelli, Darla; Hoelscher, Deanna

2017-12-01

To present research models based on artificial intelligence and discuss the concept of cognitive computing and eScience as disruptive factors in health and life science research methodologies. The paper identifies big data as a catalyst to innovation and the development of artificial intelligence, presents a framework for computer-supported human problem solving and describes a transformation of research support models. This framework includes traditional computer support; federated cognition using machine learning and cognitive agents to augment human intelligence; and a semi-autonomous/autonomous cognitive model, based on deep machine learning, which supports eScience. The paper provides a forward view of the impact of artificial intelligence on our human-computer support and research methods in health and life science research. By augmenting or amplifying human task performance with artificial intelligence, cognitive computing and eScience research models are discussed as novel and innovative systems for developing more effective adaptive obesity intervention programs.

An Examination of Development of Wyoming's Alternative Assessment System, the Body of Evidence

ERIC Educational Resources Information Center

Dowding, Sharla Kay

2011-01-01

The overarching purpose of this qualitative study is to explore the patterns of development and implementation of Body of Evidence (BOE) science systems throughout the state of Wyoming, using an emerging and relatively open mixed methods design. BOEs were first launched throughout Wyoming a decade ago, and are ongoing today. Through interviews…

Presenting of Indifference Management Model of Education System in Ardabil Province Using Structural Equation Modeling

ERIC Educational Resources Information Center

Abolfazli, Elham; Saidabadi, Reza Yousefi; Fallah, Vahid

2016-01-01

The purpose of the present study is to investigate indifference management structural model in education system of Ardabil Province. The research method was integration study using Alli modeling. Statistical society of research was 420 assistant professors of educational science, managers, and deputies of Ardabil's second period of high schools…

Application of binomial and multinomial probability statistics to the sampling design process of a global grain tracing and recall system

USDA-ARS?s Scientific Manuscript database

Small, coded, pill-sized tracers embedded in grain are proposed as a method for grain traceability. A sampling process for a grain traceability system was designed and investigated by applying probability statistics using a science-based sampling approach to collect an adequate number of tracers fo...

A Direct TeX-to-Braille Transcribing Method

ERIC Educational Resources Information Center

Papasalouros, Andreas; Tsolomitis, Antonis

2017-01-01

The TeX/LaTeX typesetting system is the most wide-spread system for creating documents in Mathematics and Science. However, no reliable tool exists to this day for automatically transcribing documents from the above formats into Braille/Nemeth code. Thus, visually impaired students of related fields do not have access to the bulk of study material…

Integrating technology education concepts into China's educational system

NASA Astrophysics Data System (ADS)

Yang, Faxian

The problem of this study was to develop a strategy for integrating technology education concepts within the Chinese mathematics and science curricula. The researcher used a case study as the basic methodology. It included three methods for collecting data: literature review, field study in junior and senior secondary schools in America and China, and interviews with experienced educators who were familiar with the status of technology education programs in the selected countries. The data came from the following areas: Japan, Taiwan, the United Kingdom, China, and five states in the United States: Illinois, Iowa, Maryland, Massachusetts, and New York. The researcher summarized each state and country's educational data, identified the advantages and disadvantages of their current technology education program, and identified the major concepts within each program. The process determined that identified concepts would be readily acceptable into the current Chinese educational system. Modernization of, industry, agriculture, science and technology, and defense have been recent objectives of the Chinese government. Therefore, Chinese understanding of technology, or technology education, became important for the country. However, traditional thought and culture curb the implementation of technology education within China's current education system. The proposed solution was to integrate technology education concepts into China's mathematics and science curricula. The purpose of the integration was to put new thoughts and methods into the current educational structure. It was concluded that the proposed model and interventions would allow Chinese educators to carry out the integration into China's education system.

Bioinspired Principles for Large-Scale Networked Sensor Systems: An Overview

PubMed Central

Jacobsen, Rune Hylsberg; Zhang, Qi; Toftegaard, Thomas Skjødeberg

2011-01-01

Biology has often been used as a source of inspiration in computer science and engineering. Bioinspired principles have found their way into network node design and research due to the appealing analogies between biological systems and large networks of small sensors. This paper provides an overview of bioinspired principles and methods such as swarm intelligence, natural time synchronization, artificial immune system and intercellular information exchange applicable for sensor network design. Bioinspired principles and methods are discussed in the context of routing, clustering, time synchronization, optimal node deployment, localization and security and privacy. PMID:22163841

Diagnostics and Discovery in Viral Central Nervous System Infections.

PubMed

Lipkin, Walter Ian; Hornig, Mady

2015-09-01

The range of viruses implicated in central nervous system disease continues to grow with globalization of travel and trade, emergence and reemergence of zoonoses and investments in discovery science. Diagnosis of viral central nervous system infections is challenging in that brain tissue, where the pathogen concentration is likely to be highest, is not readily obtained and sensitive methods for molecular and serological detection of infection are not available in most clinical microbiology laboratories. Here we review these challenges and discuss how they may be addressed using advances in molecular, proteomic and immunological methods. © 2015 International Society of Neuropathology.

A Rationale and Outline for an Undergraduate Course on the Philosophy and History of Science for Life Science Students

PubMed Central

Hockberger, Philip E.; Miller, Richard J.

2005-01-01

There are compelling reasons for teaching a philosophy of science course to undergraduate life science students. The main reason is to help them understand that modern science is not based upon a single, consistent philosophical system; nor is it based upon common sense, or a method, set of rules or formulas that can be used to make unerring predictions. Rather, science is a dynamic process that is constantly being modified and refined to reflect and encompass an ever-expanding set of hypotheses, observations, and theories. To illustrate these points, we developed a course that examined the history and philosophical underpinnings of modern science, and we discussed famous experiments that challenged the prevailing norm and led to Kuhnian revolutions in scientific thought. Building upon this knowledge, students investigated how different philosophical systems address controversial social issues in the biological sciences. They examined the teaching of intelligent design and creationism in public schools, the implications of legalized abortion and physician-assisted suicide, the potential impact of DNA fingerprinting on human rights and racism, the promise and pitfalls of stem cell research, and the neurobiological basis of consciousness and its relevance to mental health therapies and the animal rights movement. We believe undergraduate life science students should be exposed to these issues and have an opportunity to develop informed opinions about them before they graduate from college. Exploration of such topics will help them become better prepared for the inevitable public debates that they will face as science educators, researchers, and leaders of society. PMID:21289866

A Rationale and Outline for an Undergraduate Course on the Philosophy and History of Science for Life Science Students.

PubMed

Hockberger, Philip E; Miller, Richard J

2005-09-01

There are compelling reasons for teaching a philosophy of science course to undergraduate life science students. The main reason is to help them understand that modern science is not based upon a single, consistent philosophical system; nor is it based upon common sense, or a method, set of rules or formulas that can be used to make unerring predictions. Rather, science is a dynamic process that is constantly being modified and refined to reflect and encompass an ever-expanding set of hypotheses, observations, and theories. To illustrate these points, we developed a course that examined the history and philosophical underpinnings of modern science, and we discussed famous experiments that challenged the prevailing norm and led to Kuhnian revolutions in scientific thought. Building upon this knowledge, students investigated how different philosophical systems address controversial social issues in the biological sciences. They examined the teaching of intelligent design and creationism in public schools, the implications of legalized abortion and physician-assisted suicide, the potential impact of DNA fingerprinting on human rights and racism, the promise and pitfalls of stem cell research, and the neurobiological basis of consciousness and its relevance to mental health therapies and the animal rights movement. We believe undergraduate life science students should be exposed to these issues and have an opportunity to develop informed opinions about them before they graduate from college. Exploration of such topics will help them become better prepared for the inevitable public debates that they will face as science educators, researchers, and leaders of society.

Research methods from social science can contribute much to the health sciences.

PubMed

Wensing, Michel

2008-06-01

Research methods from social science, such as social network analysis, random coefficient modeling, and advanced measurement techniques, can contribute much to the health sciences. There is, however, a slow rate of transmission of social science methodology into the health sciences. This paper identifies some of the barriers for adoption and proposes ideas for the future. Commentary. Contributions of social science to the health sciences are not always recognized as such. It may help if the professional profile of social science in the health sciences would be higher and if its focus would be more on making useful predictions. Clinical epidemiologists may assume that their discipline includes all relevant methods and that social science is largely based on qualitative research. These perceptions need to be challenged in order to widen the scope of clinical epidemiology and include relevant methods from other sciences. New methods help to ask new research questions and to provide better to old questions. This paper has sketched challenges for both social science researchers and clinical epidemiologists.

Parameters Free Computational Characterization of Defects in Transition Metal Oxides with Diffusion Quantum Monte Carlo

NASA Astrophysics Data System (ADS)

Santana, Juan A.; Krogel, Jaron T.; Kent, Paul R.; Reboredo, Fernando

Materials based on transition metal oxides (TMO's) are among the most challenging systems for computational characterization. Reliable and practical computations are possible by directly solving the many-body problem for TMO's with quantum Monte Carlo (QMC) methods. These methods are very computationally intensive, but recent developments in algorithms and computational infrastructures have enabled their application to real materials. We will show our efforts on the application of the diffusion quantum Monte Carlo (DMC) method to study the formation of defects in binary and ternary TMO and heterostructures of TMO. We will also outline current limitations in hardware and algorithms. This work is supported by the Materials Sciences & Engineering Division of the Office of Basic Energy Sciences, U.S. Department of Energy (DOE).

Evaluation of components, subsystems, and networks for high rate, high frequency space communications

NASA Technical Reports Server (NTRS)

Kerczewski, Robert J.; Ivancic, William D.; Zuzek, John E.

1991-01-01

The development of new space communications technologies by NASA has included both commercial applications and space science requirements. At NASA's Lewis Research Center, methods and facilities have been developed for evaluating these new technologies in the laboratory. NASA's Systems Integration, Test and Evaluation (SITE) Space Communication System Simulator is a hardware-based laboratory simulator for evaluating space communications technologies at the component, subsystem, system, and network level, geared toward high frequency, high data rate systems. The SITE facility is well-suited for evaluation of the new technologies required for the Space Exploration Initiative (SEI) and advanced commercial systems. This paper describes the technology developments and evaluation requirements for current and planned commercial and space science programs. Also examined are the capabilities of SITE, the past, present, and planned future configurations of the SITE facility, and applications of SITE to evaluation of SEI technology.

Reimagining Human Research Protections for 21st Century Science

PubMed Central

Bietz, Matthew; Bae, Deborah; Bigby, Barbara; Devereaux, Mary; Fowler, James; Waldo, Ann; Weibel, Nadir; Patrick, Kevin; Klemmer, Scott; Melichar, Lori

2016-01-01

Background Evolving research practices and new forms of research enabled by technological advances require a redesigned research oversight system that respects and protects human research participants. Objective Our objective was to generate creative ideas for redesigning our current human research oversight system. Methods A total of 11 researchers and institutional review board (IRB) professionals participated in a January 2015 design thinking workshop to develop ideas for redesigning the IRB system. Results Ideas in 5 major domains were generated. The areas of focus were (1) improving the consent form and process, (2) empowering researchers to protect their participants, (3) creating a system to learn from mistakes, (4) improving IRB efficiency, and (5) facilitating review of research that leverages technological advances. Conclusions We describe the impetus for and results of a design thinking workshop to reimagine a human research protections system that is responsive to 21st century science. PMID:28007687

From pattern to process: The strategy of the Earth Observing System: Volume 2: EOS Science Steering Committee report

NASA Technical Reports Server (NTRS)

1987-01-01

The Earth Observing System (EOS) represents a new approach to the study of the Earth. It consists of remotely sensed and correlative in situ observations designed to address important, interrelated global-scale processes. There is an urgent need to study the Earth as a complete, integrated system in order to understand and predict changes caused by human activities and natural processes. The EOS approach is based on an information system concept and designed to provide a long-term study of the Earth using a variety of measurement methods from both operational and research satellite payloads and continuing ground-based Earth science studies. The EOS concept builds on the foundation of the earlier, single-discipline space missions designed for relatively short observation periods. Continued progress in our understanding of the Earth as a system will come from EOS observations spanning several decades using a variety of contemporaneous measurements.

Inquiry Coaching: Scientists & Science Educators Energizing the Next Generation

NASA Astrophysics Data System (ADS)

Shope, R. E.; Alcantara Valverde, L.

2007-05-01

A recent National Academy of Sciences report recommends that science educators focus strategically on teaching the practice of science. To accomplish this, we have devised and implemented the Science Performance Laboratory, a collaborative research, education, and workforce model that brings scientists and science educators together to conduct scientific inquiry. In this session, we demonstrate how to form active inquiry teams around Arctica Science Research content areas related to the International Polar Year. We use the term "Arctica Science Research" to refer to the entire scope of exploration and discovery relating to: polar science and its global connections; Arctic and Antarctic research and climate sciences; ice and cryospheric studies on Earth; polar regions of the Moon, Mars, and Mercury; icy worlds throughout the Solar System, such as Europa, Enceladus, Titan, Pluto and the Comets; cryovolcanism; ice in interstellar space, and beyond. We apply the notion of teaching the practice science by enacting three effective strategies: 1) The Inquiry Wheel Game, in which we develop an expanded understanding of what has been traditionally taught as "the scientific method"; 2) Acting Out the Science Story, in which we develop a physicalized expression of our conceptual understanding; and 3) Selecting Success Criteria for Inquiry Coaching, in which we reframe how we evaluate science learning as we teach the practice of science.

NQRY Coaching: Scientists and Science Educators Energizing the Next Generation

NASA Astrophysics Data System (ADS)

Shope, R. E.

2007-12-01

A recent National Academy of Science report recommends that science educators focus strategically on teaching the practice of science. To accomplish this, we have devised and implemented the Science Performance Collaboratory, a collaborative research, education, and workforce model that brings scientists and science educators together to conduct scientific inquiry. In this session, we demonstrate how to form active inquiry teams around Arctica Science Research content areas related to the International Polar Year. We use the term Arctica Science Research to refer to the entire scope of exploration and discovery relating to: polar science and its global connections; Arctic and Antarctic research and climate sciences; ice and cryospheric studies on Earth; polar regions of the Moon, Mars, and Mercury; icy worlds throughout the Solar System, such as Europa, Enceladus, Titan, Pluto and the Comets; cryovolvanism; ice in interstellar space, and beyond. We apply the notion of teaching the practice science by enacting three effective strategies: 1) The Inquiry Wheel Game, in which we develop an expanded understanding of what has been traditionally taught as "the scientific method"; 2) Acting Out the Science Story, in which we develop a physicalized expression of our conceptual understanding; and 3) Selecting Success Criteria for Inquiry Coaching, in which we reframe how we evaluate science learning as we teach the practice of science.

How do precision medicine and system biology response to human body's complex adaptability?

PubMed

Yuan, Bing

2016-12-01

In the field of life sciences, although system biology and "precision medicine" introduce some complex scientifific methods and techniques, it is still based on the "analysis-reconstruction" of reductionist theory as a whole. Adaptability of complex system increase system behaviour uncertainty as well as the difficulties of precise identifification and control. It also put systems biology research into trouble. To grasp the behaviour and characteristics of organism fundamentally, systems biology has to abandon the "analysis-reconstruction" concept. In accordance with the guidelines of complexity science, systems biology should build organism model from holistic level, just like the Chinese medicine did in dealing with human body and disease. When we study the living body from the holistic level, we will fifind the adaptability of complex system is not the obstacle that increases the diffificulty of problem solving. It is the "exceptional", "right-hand man" that helping us to deal with the complexity of life more effectively.

Free and Open Source Software for Geospatial in the field of planetary science

NASA Astrophysics Data System (ADS)

Frigeri, A.

2012-12-01

Information technology applied to geospatial analyses has spread quickly in the last ten years. The availability of OpenData and data from collaborative mapping projects increased the interest on tools, procedures and methods to handle spatially-related information. Free Open Source Software projects devoted to geospatial data handling are gaining a good success as the use of interoperable formats and protocols allow the user to choose what pipeline of tools and libraries is needed to solve a particular task, adapting the software scene to his specific problem. In particular, the Free Open Source model of development mimics the scientific method very well, and researchers should be naturally encouraged to take part to the development process of these software projects, as this represent a very agile way to interact among several institutions. When it comes to planetary sciences, geospatial Free Open Source Software is gaining a key role in projects that commonly involve different subjects in an international scenario. Very popular software suites for processing scientific mission data (for example, ISIS) and for navigation/planning (SPICE) are being distributed along with the source code and the interaction between user and developer is often very strict, creating a continuum between these two figures. A very widely spread library for handling geospatial data (GDAL) has started to support planetary data from the Planetary Data System, and recent contributions enabled the support to other popular data formats used in planetary science, as the Vicar one. The use of Geographic Information System in planetary science is now diffused, and Free Open Source GIS, open GIS formats and network protocols allow to extend existing tools and methods developed to solve Earth based problems, also to the case of the study of solar system bodies. A day in the working life of a researcher using Free Open Source Software for geospatial will be presented, as well as benefits and solutions to possible detriments coming from the effort required by using, supporting and contributing.

The Computational Ecologist’s Toolbox

EPA Science Inventory

Computational ecology, nestled in the broader field of data science, is an interdisciplinary field that attempts to improve our understanding of complex ecological systems through the use of modern computational methods. Computational ecology is based on a union of competence in...

Sport science integration: An evolutionary synthesis.

PubMed

Balagué, N; Torrents, C; Hristovski, R; Kelso, J A S

2017-02-01

The aim of the paper is to point out one way of integrating the supposedly incommensurate disciplines investigated in sports science. General, common principles can be found among apparently unrelated disciplines when the focus is put on the dynamics of sports-related phenomena. Dynamical systems approaches that have recently changed research in biological and social sciences among others, offer key concepts to create a common pluricontextual language in sport science. This common language, far from being homogenising, offers key synthesis between diverse fields, respecting and enabling the theoretical and experimental pluralism. It forms a softly integrated sports science characterised by a basic dynamic explanatory backbone as well as context-dependent theoretical flexibility. After defining the dynamic integration in living systems, unable to be captured by structural static approaches, we show the commonalities between the diversity of processes existing on different levels and time scales in biological and social entities. We justify our interpretation by drawing on some recent scientific contributions that use the same general principles and concepts, and diverse methods and techniques of data analysis, to study different types of phenomena in diverse disciplines. We show how the introduction of the dynamic framework in sport science has started to blur the boundaries between physiology, biomechanics, psychology, phenomenology and sociology. The advantages and difficulties of sport science integration and its consequences in research are also discussed.

Transforming Elementary Science Teacher Education by Bridging Formal and Informal Science Education in an Innovative Science Methods Course

NASA Astrophysics Data System (ADS)

Riedinger, Kelly; Marbach-Ad, Gili; Randy McGinnis, J.; Hestness, Emily; Pease, Rebecca

2011-02-01

We investigated curricular and pedagogical innovations in an undergraduate science methods course for elementary education majors at the University of Maryland. The goals of the innovative elementary science methods course included: improving students' attitudes toward and views of science and science teaching, to model innovative science teaching methods and to encourage students to continue in teacher education. We redesigned the elementary science methods course to include aspects of informal science education. The informal science education course features included informal science educator guest speakers, a live animal demonstration and a virtual field trip. We compared data from a treatment course ( n = 72) and a comparison course ( n = 26). Data collection included: researchers' observations, instructors' reflections, and teacher candidates' feedback. Teacher candidate feedback involved interviews and results on a reliable and valid Attitudes and Beliefs about the Nature of and the Teaching of Science instrument. We used complementary methods to analyze the data collected. A key finding of the study was that while benefits were found in both types of courses, the difference in results underscores the need of identifying the primary purpose for innovation as a vital component of consideration.

CloudSat system engineering: techniques that point to a future success

NASA Technical Reports Server (NTRS)

Basilio, R. R.; Boain, R. J.; Lam, T.

2002-01-01

Over the past three years the CloutSat Project, a NASA Earth System Science Pathfinder mission to provide from space the first global survey of cloud profiles and cloud physical properties, has implemented a successful project system engineering approach. Techniques learned through heuristic reasoning of past project events and professional experience were applied along with select methods recently touted to increase effectiveness without compromising effiency.

Chaos, patterns, coherent structures, and turbulence: Reflections on nonlinear science.

PubMed

Ecke, Robert E

2015-09-01

The paradigms of nonlinear science were succinctly articulated over 25 years ago as deterministic chaos, pattern formation, coherent structures, and adaptation/evolution/learning. For chaos, the main unifying concept was universal routes to chaos in general nonlinear dynamical systems, built upon a framework of bifurcation theory. Pattern formation focused on spatially extended nonlinear systems, taking advantage of symmetry properties to develop highly quantitative amplitude equations of the Ginzburg-Landau type to describe early nonlinear phenomena in the vicinity of critical points. Solitons, mathematically precise localized nonlinear wave states, were generalized to a larger and less precise class of coherent structures such as, for example, concentrated regions of vorticity from laboratory wake flows to the Jovian Great Red Spot. The combination of these three ideas was hoped to provide the tools and concepts for the understanding and characterization of the strongly nonlinear problem of fluid turbulence. Although this early promise has been largely unfulfilled, steady progress has been made using the approaches of nonlinear science. I provide a series of examples of bifurcations and chaos, of one-dimensional and two-dimensional pattern formation, and of turbulence to illustrate both the progress and limitations of the nonlinear science approach. As experimental and computational methods continue to improve, the promise of nonlinear science to elucidate fluid turbulence continues to advance in a steady manner, indicative of the grand challenge nature of strongly nonlinear multi-scale dynamical systems.

Elementary Teachers' Selection and Use of Visual Models

NASA Astrophysics Data System (ADS)

Lee, Tammy D.; Gail Jones, M.

2018-02-01

As science grows in complexity, science teachers face an increasing challenge of helping students interpret models that represent complex science systems. Little is known about how teachers select and use models when planning lessons. This mixed methods study investigated the pedagogical approaches and visual models used by elementary in-service and preservice teachers in the development of a science lesson about a complex system (e.g., water cycle). Sixty-seven elementary in-service and 69 elementary preservice teachers completed a card sort task designed to document the types of visual models (e.g., images) that teachers choose when planning science instruction. Quantitative and qualitative analyses were conducted to analyze the card sort task. Semistructured interviews were conducted with a subsample of teachers to elicit the rationale for image selection. Results from this study showed that both experienced in-service teachers and novice preservice teachers tended to select similar models and use similar rationales for images to be used in lessons. Teachers tended to select models that were aesthetically pleasing and simple in design and illustrated specific elements of the water cycle. The results also showed that teachers were not likely to select images that represented the less obvious dimensions of the water cycle. Furthermore, teachers selected visual models more as a pedagogical tool to illustrate specific elements of the water cycle and less often as a tool to promote student learning related to complex systems.

Computational Science in Armenia (Invited Talk)

NASA Astrophysics Data System (ADS)

Marandjian, H.; Shoukourian, Yu.

This survey is devoted to the development of informatics and computer science in Armenia. The results in theoretical computer science (algebraic models, solutions to systems of general form recursive equations, the methods of coding theory, pattern recognition and image processing), constitute the theoretical basis for developing problem-solving-oriented environments. As examples can be mentioned: a synthesizer of optimized distributed recursive programs, software tools for cluster-oriented implementations of two-dimensional cellular automata, a grid-aware web interface with advanced service trading for linear algebra calculations. In the direction of solving scientific problems that require high-performance computing resources, examples of completed projects include the field of physics (parallel computing of complex quantum systems), astrophysics (Armenian virtual laboratory), biology (molecular dynamics study of human red blood cell membrane), meteorology (implementing and evaluating the Weather Research and Forecast Model for the territory of Armenia). The overview also notes that the Institute for Informatics and Automation Problems of the National Academy of Sciences of Armenia has established a scientific and educational infrastructure, uniting computing clusters of scientific and educational institutions of the country and provides the scientific community with access to local and international computational resources, that is a strong support for computational science in Armenia.

Quality and patient safety in the diagnosis of breast cancer.

PubMed

Raab, Stephen S; Swain, Justin; Smith, Natasha; Grzybicki, Dana M

2013-09-01

The media, medical legal, and safety science perspectives of a laboratory medical error differ and assign variable levels of responsibility on individuals and systems. We examine how the media identifies, communicates, and interprets information related to anatomic pathology breast diagnostic errors compared to groups using a safety science Lean-based quality improvement perspective. The media approach focuses on the outcome of error from the patient perspective and some errors have catastrophic consequences. The medical safety science perspective does not ignore the importance of patient outcome, but focuses on causes including the active events and latent factors that contribute to the error. Lean improvement methods deconstruct work into individual steps consisting of tasks, communications, and flow in order to understand the affect of system design on current state levels of quality. In the Lean model, system redesign to reduce errors depends on front-line staff knowledge and engagement to change the components of active work to develop best practices. In addition, Lean improvement methods require organizational and environmental alignment with the front-line change in order to improve the latent conditions affecting components such as regulation, education, and safety culture. Although we examine instances of laboratory error for a specific test in surgical pathology, the same model of change applies to all areas of the laboratory. Copyright © 2013 The Authors. Published by Elsevier Inc. All rights reserved.

Teaching for Conceptual Change in Elementary and Secondary Science Methods Courses.

ERIC Educational Resources Information Center

Marion, Robin; Hewson, Peter W.; Tabachnick, B. Robert; Blomker, Kathryn B.

1999-01-01

Describes and analyzes two science methods courses at the elementary and secondary levels for how they addressed four ideas: (1) how students learn science; (2) how teachers teach science to students; (3) how prospective science teachers learn about the first two ideas; and (4) how methods instructors teach prospective science teachers about the…

Data Science Challenges at the Nexus of Food, Energy, and Water

NASA Astrophysics Data System (ADS)

Eftelioglu, E.; Shekhar, S.

2016-12-01

Food, energy and water (FEW) systems were traditionally analyzed and planned independently to address the challenges of population growth, climate change and urbanization. However, such piece-meal approaches (e.g., bio-fuel subsidy, fertilizers in agriculture) to solving problems in one system (e.g., energy, food) led to unanticipated harms to other systems (e.g., food price increase, water resource depletion and degradation). Thus, understanding the interdependent and interconnected nature of food, energy, and water systems (FEW nexus) is a societal priority. Data Science is crucial for understanding the problem, the interconnections, and the impacts withing FEW nexus. It is also needed for monitoring a variety of Earth resources (e.g., agriculture fields, fresh water lakes, energy needs for cooling or heating, etc.), and trends (e.g., deforestation, pollution, etc.) for timely detection and management of risks, such as impending crop failures and crop-stress anywhere in the world. It is also needed to reduce waste and to improve efficiency, e.g., amount of water and energy needed to produce food. Data Science success stories go beyond the cyber-infrastructure for simulations (e.g., GCMs, AgMIP ) to include precision agriculture and GEOGLAM. Precision agriculture uses cyber-physical systems and data science to increase yield, and reduce fertilizer and pesticide runoffs. The Global Agricultural Monitoring (GEOGLAM) , an international system, uses remotely sensed satellite imagery to monitor major crops for yield forecasts to enable timely interventions to reduce disruptions in global food supply. However, the FEW nexus presents new challenges and opportunities. For example, data science methods need to not only re-examine assumptions such as non-stationarity (e.g., climate change) but also address nexus challenges such as high cost of false positives, (social) feedback loops, and multiple spatio-temporal scale. Acknowledgements: This work was supported in part by the National Science Foundation, and the University of Minnesota. The talk presents outcomes of a recent NSF workshop to explore a research agenda for next generation data science to address the challenges of FEW nexus.

Seven propositions of the science of improvement: exploring foundations.

PubMed

Perla, Rocco J; Provost, Lloyd P; Parry, Gareth J

2013-01-01

The phrase "Science of Improvement" or "Improvement Science" is commonly used today by a range of people and professions to mean different things, creating confusion to those trying to learn about improvement. In this article, we briefly define the concepts of improvement and science, and review the history of the consideration of "improvement" as a science. We trace key concepts and ideas in improvement to their philosophical and theoretical foundation with a focus on Deming's System of Profound Knowledge. We suggest that Deming's system has a firm association with many contemporary and historic philosophic and scientific debates and concepts. With reference to these debates and concepts, we identify 7 propositions that provide the scientific and philosophical foundation for the science of improvement. A standard view of the science of improvement does not presently exist that is grounded in the philosophical and theoretical basis of the field. The 7 propositions outlined here demonstrate the value of examining the underpinnings of improvement. This is needed to both advance the field and minimize confusion about what the phrase "science of improvement" represents. We argue that advanced scientists of improvement are those who like Deming and Shewhart can integrate ideas, concepts, and models between scientific disciplines for the purpose of developing more robust improvement models, tools, and techniques with a focus on application and problem solving in real world contexts. The epistemological foundations and theoretical basis of the science of improvement and its reasoning methods need to be critically examined to ensure its continued development and relevance. If improvement efforts and projects in health care are to be characterized under the canon of science, then health care professionals engaged in quality improvement work would benefit from a standard set of core principles, a standard lexicon, and an understanding of the evolution of the science of improvement.

Exoplanet Science in the National Science Olympiad

NASA Astrophysics Data System (ADS)

Komacek, Thaddeus D.; Young, Donna

2015-11-01

The National Science Olympiad is one of the United States' largest science competitions, reaching over 6,000 schools in 48 states. The Olympiad includes a wide variety of events, stretching a full range of potential future STEM careers, from biological sciences to engineering to earth and space sciences. The Astronomy event has been a mainstay at the high school level for well over a decade, and nominally focuses on aspects of stellar evolution. For the 2014-2015 competition season, the event focus was aligned to include exoplanet discovery and characterization along with star formation. Teams studied both the qualitative features of exoplanets and exoplanetary systems and the quantitative aspects behind their discovery and characterization, including basic calculations with the transit and radial velocity methods. Students were also expected to have a qualitative understanding of stellar evolution and understand the differences between classes of young stars including T Tauri and FU Orionis variables, and Herbig Ae/Be stars. Based on the successes of this event topic, we are continuing this event into the 2015-2016 academic year. The key modification is the selection of new exoplanetary systems for students to research. We welcome feedback from the community on how to improve the event and the related educational resources that are created for Science Olympiad students and coaches. We also encourage any interested community members to contact your regional or state Science Olympiad tournament directors and volunteer to organize competitions and supervise events locally.

Global Optimal Trajectory in Chaos and NP-Hardness

NASA Astrophysics Data System (ADS)

Latorre, Vittorio; Gao, David Yang

This paper presents an unconventional theory and method for solving general nonlinear dynamical systems. Instead of the direct iterative methods, the discretized nonlinear system is first formulated as a global optimization problem via the least squares method. A newly developed canonical duality theory shows that this nonconvex minimization problem can be solved deterministically in polynomial time if a global optimality condition is satisfied. The so-called pseudo-chaos produced by linear iterative methods are mainly due to the intrinsic numerical error accumulations. Otherwise, the global optimization problem could be NP-hard and the nonlinear system can be really chaotic. A conjecture is proposed, which reveals the connection between chaos in nonlinear dynamics and NP-hardness in computer science. The methodology and the conjecture are verified by applications to the well-known logistic equation, a forced memristive circuit and the Lorenz system. Computational results show that the canonical duality theory can be used to identify chaotic systems and to obtain realistic global optimal solutions in nonlinear dynamical systems. The method and results presented in this paper should bring some new insights into nonlinear dynamical systems and NP-hardness in computational complexity theory.

Review of Statistical Learning Methods in Integrated Omics Studies (An Integrated Information Science).

PubMed

Zeng, Irene Sui Lan; Lumley, Thomas

2018-01-01

Integrated omics is becoming a new channel for investigating the complex molecular system in modern biological science and sets a foundation for systematic learning for precision medicine. The statistical/machine learning methods that have emerged in the past decade for integrated omics are not only innovative but also multidisciplinary with integrated knowledge in biology, medicine, statistics, machine learning, and artificial intelligence. Here, we review the nontrivial classes of learning methods from the statistical aspects and streamline these learning methods within the statistical learning framework. The intriguing findings from the review are that the methods used are generalizable to other disciplines with complex systematic structure, and the integrated omics is part of an integrated information science which has collated and integrated different types of information for inferences and decision making. We review the statistical learning methods of exploratory and supervised learning from 42 publications. We also discuss the strengths and limitations of the extended principal component analysis, cluster analysis, network analysis, and regression methods. Statistical techniques such as penalization for sparsity induction when there are fewer observations than the number of features and using Bayesian approach when there are prior knowledge to be integrated are also included in the commentary. For the completeness of the review, a table of currently available software and packages from 23 publications for omics are summarized in the appendix.

Study on evaluation of construction reliability for engineering project based on fuzzy language operator

NASA Astrophysics Data System (ADS)

Shi, Yu-Fang; Ma, Yi-Yi; Song, Ping-Ping

2018-03-01

System Reliability Theory is a research hotspot of management science and system engineering in recent years, and construction reliability is useful for quantitative evaluation of project management level. According to reliability theory and target system of engineering project management, the defination of construction reliability appears. Based on fuzzy mathematics theory and language operator, value space of construction reliability is divided into seven fuzzy subsets and correspondingly, seven membership function and fuzzy evaluation intervals are got with the operation of language operator, which provides the basis of corresponding method and parameter for the evaluation of construction reliability. This method is proved to be scientific and reasonable for construction condition and an useful attempt for theory and method research of engineering project system reliability.

The effectiveness of constructivist science instructional methods on middle school students' student achievement and motivation

NASA Astrophysics Data System (ADS)

Brooks, John

A problem facing science educators is determining the most effective means of science instruction so that students will meet or exceed the new rigorous standards. The theoretical framework for this study was based on reform and research efforts that have informed science teachers that using constructivism is the best method of science instruction. The purpose of this study was to investigate how the constructivist method of science instruction affected student achievement and student motivation in a sixth grade science classroom. The guiding research question involved understanding which method of science instruction would be most effective at improving student achievement in science. Other sub-questions included the factors that contribute to student motivation in science and the method of science instruction students receive that affects motivation to learn science. Quantitative data were collected using a pre-test and post-test single group design. T-test and ANCOVA were used to test quantitative hypotheses. Qualitative data were collected using student reflective journals and classroom discussions. Students' perspectives were transcribed, coded and used to further inform quantitative findings. The findings of this study supported the recommendations made by science reformists that the best method of science instruction was a constructivist method. This study also found that participant comments favored constructivist taught classes. The implications for social change at the local level included potential increases in student achievement in science and possibly increased understanding that can facilitate similar changes at other schools. From a global perspective, constructivist-oriented methods might result in students becoming more interested in majoring in science at the college level and in becoming part of a scientifically literate work force.

Experimental methods of molecular matter-wave optics.

PubMed

Juffmann, Thomas; Ulbricht, Hendrik; Arndt, Markus

2013-08-01

We describe the state of the art in preparing, manipulating and detecting coherent molecular matter. We focus on experimental methods for handling the quantum motion of compound systems from diatomic molecules to clusters or biomolecules.Molecular quantum optics offers many challenges and innovative prospects: already the combination of two atoms into one molecule takes several well-established methods from atomic physics, such as for instance laser cooling, to their limits. The enormous internal complexity that arises when hundreds or thousands of atoms are bound in a single organic molecule, cluster or nanocrystal provides a richness that can only be tackled by combining methods from atomic physics, chemistry, cluster physics, nanotechnology and the life sciences.We review various molecular beam sources and their suitability for matter-wave experiments. We discuss numerous molecular detection schemes and give an overview over diffraction and interference experiments that have already been performed with molecules or clusters.Applications of de Broglie studies with composite systems range from fundamental tests of physics up to quantum-enhanced metrology in physical chemistry, biophysics and the surface sciences.Nanoparticle quantum optics is a growing field, which will intrigue researchers still for many years to come. This review can, therefore, only be a snapshot of a very dynamical process.

Using design methods to provide the care that people want and need.

PubMed

Erwin, Kim; Krishnan, Jerry A

2016-01-01

Kim Erwin is an Assistant Professor at IIT Institute of Design and trained in user-centered design methods, which put people at the center of any problem space so as to develop solutions that better fit their everyday lives, activities and context. Her expertise is in making complex information easier to understand and use. Her research targets communication tools and methods for collaborative knowledge construction built through shared experiences. Her book, Communicating the New: Methods to shape and accelerate innovation focuses on helping teams explore, build and diffuse critical knowledge inside organizations. Jerry Krishnan is a Professor of Medicine and Public Health, and Associate Vice President for Population Health Sciences at the University of Illinois Hospital & Health Sciences System. He pioneered the use of Analytic Hierarchy Process to elicit the expressed needs of stakeholders for research. He previously served as Chair of the US FDA Pulmonary and Allergy Drugs Advisory Committee and is a Principal Investigator in NIH and Patient Centered Outcomes Research Institute (PCORI)-funded research consortia. He chairs the US National Heart, Lung, and Blood Institute (NHLBI) Clinical Trials review committee and the PCORI Improving Healthcare Systems merit review panel.

A call for more science in forensic science.

PubMed

Bell, Suzanne; Sah, Sunita; Albright, Thomas D; Gates, S James; Denton, M Bonner; Casadevall, Arturo

2018-05-01

Forensic science is critical to the administration of justice. The discipline of forensic science is remarkably complex and includes methodologies ranging from DNA analysis to chemical composition to pattern recognition. Many forensic practices developed under the auspices of law enforcement and were vetted primarily by the legal system rather than being subjected to scientific scrutiny and empirical testing. Beginning in the 1990s, exonerations based on DNA-related methods revealed problems with some forensic disciplines, leading to calls for major reforms. This process generated a National Academy of Science report in 2009 that was highly critical of many forensic practices and eventually led to the establishment of the National Commission for Forensic Science (NCFS) in 2013. The NCFS was a deliberative body that catalyzed communication between nonforensic scientists, forensic scientists, and other stakeholders in the legal community. In 2017, despite continuing problems with forensic science, the Department of Justice terminated the NCFS. Just when forensic science needs the most support, it is getting the least. We urge the larger scientific community to come to the aid of our forensic colleagues by advocating for urgently needed research, testing, and financial support.

Discovering governing equations from data by sparse identification of nonlinear dynamical systems

PubMed Central

Brunton, Steven L.; Proctor, Joshua L.; Kutz, J. Nathan

2016-01-01

Extracting governing equations from data is a central challenge in many diverse areas of science and engineering. Data are abundant whereas models often remain elusive, as in climate science, neuroscience, ecology, finance, and epidemiology, to name only a few examples. In this work, we combine sparsity-promoting techniques and machine learning with nonlinear dynamical systems to discover governing equations from noisy measurement data. The only assumption about the structure of the model is that there are only a few important terms that govern the dynamics, so that the equations are sparse in the space of possible functions; this assumption holds for many physical systems in an appropriate basis. In particular, we use sparse regression to determine the fewest terms in the dynamic governing equations required to accurately represent the data. This results in parsimonious models that balance accuracy with model complexity to avoid overfitting. We demonstrate the algorithm on a wide range of problems, from simple canonical systems, including linear and nonlinear oscillators and the chaotic Lorenz system, to the fluid vortex shedding behind an obstacle. The fluid example illustrates the ability of this method to discover the underlying dynamics of a system that took experts in the community nearly 30 years to resolve. We also show that this method generalizes to parameterized systems and systems that are time-varying or have external forcing. PMID:27035946

Discovering governing equations from data by sparse identification of nonlinear dynamical systems.

PubMed

Brunton, Steven L; Proctor, Joshua L; Kutz, J Nathan

2016-04-12

Extracting governing equations from data is a central challenge in many diverse areas of science and engineering. Data are abundant whereas models often remain elusive, as in climate science, neuroscience, ecology, finance, and epidemiology, to name only a few examples. In this work, we combine sparsity-promoting techniques and machine learning with nonlinear dynamical systems to discover governing equations from noisy measurement data. The only assumption about the structure of the model is that there are only a few important terms that govern the dynamics, so that the equations are sparse in the space of possible functions; this assumption holds for many physical systems in an appropriate basis. In particular, we use sparse regression to determine the fewest terms in the dynamic governing equations required to accurately represent the data. This results in parsimonious models that balance accuracy with model complexity to avoid overfitting. We demonstrate the algorithm on a wide range of problems, from simple canonical systems, including linear and nonlinear oscillators and the chaotic Lorenz system, to the fluid vortex shedding behind an obstacle. The fluid example illustrates the ability of this method to discover the underlying dynamics of a system that took experts in the community nearly 30 years to resolve. We also show that this method generalizes to parameterized systems and systems that are time-varying or have external forcing.

Science hub spore data

EPA Pesticide Factsheets

Data set includes UV dose, and Bacillus pumilus spore plate counts in colony forming unitsThis dataset is associated with the following publication:Boczek , L., E. Rhodes , J. Cashdollar, J. Ryu, J. Popovici , J. Hoelle , M. Sivaganesan , S. Hayes , M. Rodgers , and H. Ryu. Applicability of UV resistant Bacillus pumilus endospores as a human adenovirus surrogate for evaluating the effectiveness of virus inactivation in low-pressure UV treatment systems. JOURNAL OF MICROBIOLOGICAL METHODS. Elsevier Science Ltd, New York, NY, USA, 122: 43-49, (2016).

Two-Dimensional Spectroscopy Is Being Used to Address Core Scientific Questions in Biology and Materials Science.

PubMed

Petti, Megan K; Lomont, Justin P; Maj, Michał; Zanni, Martin T

2018-02-15

Two-dimensional spectroscopy is a powerful tool for extracting structural and dynamic information from a wide range of chemical systems. We provide a brief overview of the ways in which two-dimensional visible and infrared spectroscopies are being applied to elucidate fundamental details of important processes in biological and materials science. The topics covered include amyloid proteins, photosynthetic complexes, ion channels, photovoltaics, batteries, as well as a variety of promising new methods in two-dimensional spectroscopy.

A development and integration of database code-system with a compilation of comparator, k0 and absolute methods for INAA using microsoft access

NASA Astrophysics Data System (ADS)

Hoh, Siew Sin; Rapie, Nurul Nadiah; Lim, Edwin Suh Wen; Tan, Chun Yuan; Yavar, Alireza; Sarmani, Sukiman; Majid, Amran Ab.; Khoo, Kok Siong

2013-05-01

Instrumental Neutron Activation Analysis (INAA) is often used to determine and calculate the elemental concentrations of a sample at The National University of Malaysia (UKM) typically in Nuclear Science Programme, Faculty of Science and Technology. The objective of this study was to develop a database code-system based on Microsoft Access 2010 which could help the INAA users to choose either comparator method, k0-method or absolute method for calculating the elemental concentrations of a sample. This study also integrated k0data, Com-INAA, k0Concent, k0-Westcott and Abs-INAA to execute and complete the ECC-UKM database code-system. After the integration, a study was conducted to test the effectiveness of the ECC-UKM database code-system by comparing the concentrations between the experiments and the code-systems. 'Triple Bare Monitor' Zr-Au and Cr-Mo-Au were used in k0Concent, k0-Westcott and Abs-INAA code-systems as monitors to determine the thermal to epithermal neutron flux ratio (f). Calculations involved in determining the concentration were net peak area (Np), measurement time (tm), irradiation time (tirr), k-factor (k), thermal to epithermal neutron flux ratio (f), parameters of the neutron flux distribution epithermal (α) and detection efficiency (ɛp). For Com-INAA code-system, certified reference material IAEA-375 Soil was used to calculate the concentrations of elements in a sample. Other CRM and SRM were also used in this database codesystem. Later, a verification process to examine the effectiveness of the Abs-INAA code-system was carried out by comparing the sample concentrations between the code-system and the experiment. The results of the experimental concentration values of ECC-UKM database code-system were performed with good accuracy.

Alignment of Content and Pedagogy in an Earth Systems Course for Pre-Service Middle School Teachers

NASA Astrophysics Data System (ADS)

Cole, T.; Teed, R.; Slattery, W.

2006-12-01

In 2003 the Ohio Department of Education developed the Ohio K-12 Science Content Standards. These new science standards substantially tracked the goals and objectives of The National Research Council's National Science Education Standards. The Ohio K-12 Science Content Standards followed the National Standards in the content areas of Physical Science, Life Science and Earth and Space Science. At the same time, the state's K-12 schools were gearing up for a new high school graduation requirement, the successful passing of a high-stakes Ohio Graduation Test, given during a student's tenth grade year. Earth and Space science questions make up approximately one third of the science test items. To make it more likely that teachers have the requisite science content knowledge Ohio has recently changed from certification of K-12 teachers to a more content rich licensure standard. This new licensure requirement splits the older certification designation of K-8 into the elementary and middle school licensure areas. Under the new licensure requirements middle school licensure candidates wishing to earn a science concentration now have to take 15 semester hours of content class work in Science. The Ohio Department of Education has strongly suggested that teacher preparation institutions develop new courses for middle school educators in all four areas of concentration, including science. In response to this call for new courses science education faculty in all science areas worked together to develop a comprehensive suite of courses that would target the science content standards guidelines in the state and national standards. The newly developed Earth and Space science course is titled Earth Systems. The course carries 4.5quarter hours of credit and is intended expressly for pre-service middle school (grades 4- 9) science teachers. The content is structured around three modules of study that are designed to develop interdisciplinary science content within the context of past, present and future Earth Systems science. Because the course is created for pre-service teachers, the class models the jigsaw teaching technique, an effective and age-appropriate method of science instruction. This enables pre-service teachers to experience a technique they can use in their own classroom. Course content is aligned with all state and national 4-10 Earth/Space Science standards, which supports pre- service Middle School Science teachers by covering the content areas tested in the Praxis Middle School Science test, a requirement for graduation with licensure from Wright State University. It also helps the pre- service teachers gain experience with the content that they will need to teach to their K-12 students, so they will be able to pass the high-stakes Ohio Graduation Test. Assessment of the Earth Systems course suggests that the course leads to increased science content knowledge that leads to success in passing the Praxis Middle Childhood Science Test, and that the pedagogy modeled in the course is used by the pre- service teachers in their own K-12 teaching upon graduation.

Deterministic alternatives to the full configuration interaction quantum Monte Carlo method for strongly correlated systems

NASA Astrophysics Data System (ADS)

Tubman, Norm; Whaley, Birgitta

The development of exponential scaling methods has seen great progress in tackling larger systems than previously thought possible. One such technique, full configuration interaction quantum Monte Carlo, allows exact diagonalization through stochastically sampling of determinants. The method derives its utility from the information in the matrix elements of the Hamiltonian, together with a stochastic projected wave function, which are used to explore the important parts of Hilbert space. However, a stochastic representation of the wave function is not required to search Hilbert space efficiently and new deterministic approaches have recently been shown to efficiently find the important parts of determinant space. We shall discuss the technique of Adaptive Sampling Configuration Interaction (ASCI) and the related heat-bath Configuration Interaction approach for ground state and excited state simulations. We will present several applications for strongly correlated Hamiltonians. This work was supported through the Scientific Discovery through Advanced Computing (SciDAC) program funded by the U.S. Department of Energy, Office of Science, Advanced Scientific Computing Research and Basic Energy Sciences.

Hemodynamics: Biophysics for AP Biology

ERIC Educational Resources Information Center

Neulieb, Marilyn Huetten; Neulieb, Robert

1975-01-01

Discusses the physics of fluids flowing through vessels in the context of blood moving in the circulatory system. The method of presentation used is judged suitable for students in an advanced high school science course emphasizing individualized instruction in an interdisciplinary field. (Author/PEB)

Evolving a Method to Capture Science Stakeholder Inputs to Optimize Instrument, Payload, and Program Design

NASA Astrophysics Data System (ADS)

Clark, P. E.; Rilee, M. L.; Curtis, S. A.; Bailin, S.

2012-03-01

We are developing Frontier, a highly adaptable, stably reconfigurable, web-accessible intelligent decision engine capable of optimizing design as well as the simulating operation of complex systems in response to evolving needs and environment.

Formal methods in computer system design

NASA Astrophysics Data System (ADS)

Hoare, C. A. R.

1989-12-01

This note expounds a philosophy of engineering design which is stimulated, guided and checked by mathematical calculations and proofs. Its application to software engineering promises the same benifits as those derived from the use of mathematics in all other branches of modern science.

International Space Station-Based Electromagnetic Launcher for Space Science Payloads

NASA Technical Reports Server (NTRS)

Jones, Ross M.

2013-01-01

A method was developed of lowering the cost of planetary exploration missions by using an electromagnetic propulsion/launcher, rather than a chemical-fueled rocket for propulsion. An electromagnetic launcher (EML) based at the International Space Station (ISS) would be used to launch small science payloads to the Moon and near Earth asteroids (NEAs) for the science and exploration missions. An ISS-based electromagnetic launcher could also inject science payloads into orbits around the Earth and perhaps to Mars. The EML would replace rocket technology for certain missions. The EML is a high-energy system that uses electricity rather than propellant to accelerate payloads to high velocities. The most common type of EML is the rail gun. Other types are possible, e.g., a coil gun, also known as a Gauss gun or mass driver. The EML could also "drop" science payloads into the Earth's upper

The Translational Science Benefits Model: A New Framework for Assessing the Health and Societal Benefits of Clinical and Translational Sciences

PubMed Central

Sarli, Cathy C.; Suiter, Amy M.; Carothers, Bobbi J.; Combs, Todd B.; Allen, Jae L.; Beers, Courtney E.; Evanoff, Bradley A.

2017-01-01

Abstract We report the development of the Translational Science Benefits Model (TSBM), a framework designed to support institutional assessment of clinical and translational research outcomes to measure clinical and community health impacts beyond bibliometric measures. The TSBM includes 30 specific and potentially measurable indicators that reflect benefits that accrue from clinical and translational science research such as products, system characteristics, or activities. Development of the TSBM was based on literature review, a modified Delphi method, and in‐house expert panel feedback. Three case studies illustrate the feasibility and face validity of the TSBM for identification of clinical and community health impacts that result from translational science activities. Future plans for the TSBM include further pilot testing and a resource library that will be freely available for evaluators, translational scientists, and academic institutions who wish to implement the TSBM framework in their own evaluation efforts. PMID:28887873

Windows to the soul: vision science as a tool for studying biological mechanisms of information processing deficits in schizophrenia.

PubMed

Yoon, Jong H; Sheremata, Summer L; Rokem, Ariel; Silver, Michael A

2013-10-31

Cognitive and information processing deficits are core features and important sources of disability in schizophrenia. Our understanding of the neural substrates of these deficits remains incomplete, in large part because the complexity of impairments in schizophrenia makes the identification of specific deficits very challenging. Vision science presents unique opportunities in this regard: many years of basic research have led to detailed characterization of relationships between structure and function in the early visual system and have produced sophisticated methods to quantify visual perception and characterize its neural substrates. We present a selective review of research that illustrates the opportunities for discovery provided by visual studies in schizophrenia. We highlight work that has been particularly effective in applying vision science methods to identify specific neural abnormalities underlying information processing deficits in schizophrenia. In addition, we describe studies that have utilized psychophysical experimental designs that mitigate generalized deficit confounds, thereby revealing specific visual impairments in schizophrenia. These studies contribute to accumulating evidence that early visual cortex is a useful experimental system for the study of local cortical circuit abnormalities in schizophrenia. The high degree of similarity across neocortical areas of neuronal subtypes and their patterns of connectivity suggests that insights obtained from the study of early visual cortex may be applicable to other brain regions. We conclude with a discussion of future studies that combine vision science and neuroimaging methods. These studies have the potential to address pressing questions in schizophrenia, including the dissociation of local circuit deficits vs. impairments in feedback modulation by cognitive processes such as spatial attention and working memory, and the relative contributions of glutamatergic and GABAergic deficits.

Long-time atomistic simulations with the Parallel Replica Dynamics method

NASA Astrophysics Data System (ADS)

Perez, Danny

Molecular Dynamics (MD) -- the numerical integration of atomistic equations of motion -- is a workhorse of computational materials science. Indeed, MD can in principle be used to obtain any thermodynamic or kinetic quantity, without introducing any approximation or assumptions beyond the adequacy of the interaction potential. It is therefore an extremely powerful and flexible tool to study materials with atomistic spatio-temporal resolution. These enviable qualities however come at a steep computational price, hence limiting the system sizes and simulation times that can be achieved in practice. While the size limitation can be efficiently addressed with massively parallel implementations of MD based on spatial decomposition strategies, allowing for the simulation of trillions of atoms, the same approach usually cannot extend the timescales much beyond microseconds. In this article, we discuss an alternative parallel-in-time approach, the Parallel Replica Dynamics (ParRep) method, that aims at addressing the timescale limitation of MD for systems that evolve through rare state-to-state transitions. We review the formal underpinnings of the method and demonstrate that it can provide arbitrarily accurate results for any definition of the states. When an adequate definition of the states is available, ParRep can simulate trajectories with a parallel speedup approaching the number of replicas used. We demonstrate the usefulness of ParRep by presenting different examples of materials simulations where access to long timescales was essential to access the physical regime of interest and discuss practical considerations that must be addressed to carry out these simulations. Work supported by the United States Department of Energy (U.S. DOE), Office of Science, Office of Basic Energy Sciences, Materials Sciences and Engineering Division.

Improving the quality of learning in science through optimization of lesson study for learning community

NASA Astrophysics Data System (ADS)

Setyaningsih, S.

2018-03-01

Lesson Study for Learning Community is one of lecturer profession building system through collaborative and continuous learning study based on the principles of openness, collegiality, and mutual learning to build learning community in order to form professional learning community. To achieve the above, we need a strategy and learning method with specific subscription technique. This paper provides a description of how the quality of learning in the field of science can be improved by implementing strategies and methods accordingly, namely by applying lesson study for learning community optimally. Initially this research was focused on the study of instructional techniques. Learning method used is learning model Contextual teaching and Learning (CTL) and model of Problem Based Learning (PBL). The results showed that there was a significant increase in competence, attitudes, and psychomotor in the four study programs that were modelled. Therefore, it can be concluded that the implementation of learning strategies in Lesson study for Learning Community is needed to be used to improve the competence, attitude and psychomotor of science students.

Communication and Research Skills in the Information Systems Curriculum: A Method of Assessment

ERIC Educational Resources Information Center

Lazarony, Paul J.; Driscoll, Donna A.

2010-01-01

Assessment of learning goals has become the norm in business programs in higher education across the country. This paper offers a methodology for the assessment of both communication skills and research skills within a curriculum of the Bachelor of Science in Information Systems Program. Program level learning goals assessed in this paper are: (1)…

Application of decision science to resilience management in Jamaica Bay

USGS Publications Warehouse

Eaton, Mitchell; Fuller, Angela K.; Johnson, Fred A.; Hare, M. P.; Stedman, Richard C.; Sanderson, E.W.; Solecki, W. D.; Waldman, J.R.; Paris, A. S.

2016-01-01

This book highlights the growing interest in management interventions designed to enhance the resilience of the Jamaica Bay socio-ecological system. Effective management, whether the focus is on managing biological processes or human behavior or (most likely) both, requires decision makers to anticipate how the managed system will respond to interventions (i.e., via predictions or projections). In systems characterized by many interacting components and high uncertainty, making probabilistic predictions is often difficult and requires careful thinking not only about system dynamics, but also about how management objectives are specified and the analytic method used to select the preferred action(s). Developing a clear statement of the problem(s) and articulation of management objectives is often best achieved by including input from managers, scientists and other stakeholders affected by the decision through a process of joint problem framing (Marcot and others 2012; Keeney and others 1990). Using a deliberate, coherent and transparent framework for deciding among management alternatives to best meet these objectives then ensures a greater likelihood for successful intervention. Decision science provides the theoretical and practical basis for developing this framework and applying decision analysis methods for making complex decisions under uncertainty and risk.

Command and data handling of science signals on Spacelab

NASA Technical Reports Server (NTRS)

Mccain, H. G.

1975-01-01

The Orbiter Avionics and the Spacelab Command and Data Management System (CDMS) combine to provide a relatively complete command, control, and data handling service to the instrument complement during a Shuttle Sortie Mission. The Spacelab CDMS services the instruments and the Orbiter in turn services the Spacelab. The CDMS computer system includes three computers, two I/O units, a mass memory, and a variable number of remote acquisition units. Attention is given to the CDMS high rate multiplexer, CDMS tape recorders, closed circuit television for the visual monitoring of payload bay and cabin area activities, methods of science data acquisition, questions of transmission and recording, CDMS experiment computer usage, and experiment electronics.

A Collaborative Education Network for Advancing Climate Literacy using Data Visualization Technology

NASA Astrophysics Data System (ADS)

McDougall, C.; Russell, E. L.; Murray, M.; Bendel, W. B.

2013-12-01

One of the more difficult issues in engaging broad audiences with scientific research is to present it in a way that is intuitive, captivating and up-to-date. Over the past ten years, the National Oceanic and Atmospheric Administration (NOAA) has made significant progress in this area through Science On a Sphere(R) (SOS). SOS is a room-sized, global display system that uses computers and video projectors to display Earth systems data onto a six-foot diameter sphere, analogous to a giant animated globe. This well-crafted data visualization system serves as a way to integrate and display global change phenomena; including polar ice melt, projected sea level rise, ocean acidification and global climate models. Beyond a display for individual data sets, SOS provides a holistic global perspective that highlights the interconnectedness of Earth systems, nations and communities. SOS is now a featured exhibit at more than 100 science centers, museums, universities, aquariums and other institutions around the world reaching more than 33 million visitors every year. To facilitate the development of how this data visualization technology and these visualizations could be used with public audiences, we recognized the need for the exchange of information among the users. To accomplish this, we established the SOS Users Collaborative Network. This network consists of the institutions that have an SOS system or partners who are creating content and educational programming for SOS. When we began the Network in 2005, many museums had limited capacity to both incorporate real-time, authentic scientific data about the Earth system and interpret global change visualizations. They needed not only the visualization platform and the scientific content, but also assistance with methods of approach. We needed feedback from these users on how to craft understandable visualizations and how to further develop the SOS platform to support learning. Through this Network and the collaboration among members, we have, collectively, been able to advance all of our efforts. The member institutions, through regular face-to-face workshops and an online community, share practices in creation and cataloging of datasets, new methods for delivering content via SOS, and updates on the SOS system and software. One hallmark of the SOS Users Collaborative Network is that it exemplifies an ideal partnership between federal science agencies and informal science education institutions. The science agencies (including NOAA, NASA, and the Department of Energy) provide continuously updated global datasets, scientific expertise, funding, and support. In turn, museums act as trusted public providers of scientific information, provide audience-appropriate presentations, localized relevance to global phenomena and a forum for discussing the complex science and repercussions of global change. We will discuss the characteristics of this Network that maximize collaboration and what we're learning as a community to improve climate literacy.

A study of the relationships between "highly qualified" status, instructional practices, and students' science achievement in three high poverty Louisiana school systems

NASA Astrophysics Data System (ADS)

Clayton, Michelle

Using a mixed methods research design, the author examined the relationships between "highly qualified" status, instructional practices, and students' science achievement for six third grade teachers in three high poverty Louisiana school systems. The study analyzed qualitative and quantitative data for three science classes taught by "highly qualified" teachers and three science classes taught by "non-highly qualified" teachers. The qualitative portion of the study was conducted through classroom observations, teacher interviews, and lesson plan reviews. The qualitative data was coded and triangulated to determine whether the instructional practices of each teacher were more "teacher-centered" or "student-centered." The qualitative data analysis indicated various patterns and consistencies in the instructional practices used by the "highly qualified" and "non-highly qualified" teachers selected for this study. The quantitative portion of the study involved analysis of the students' science achievement data for the six third grade science teachers selected for the study. Science achievement was measured by the third grade Integrated Louisiana Education Assessment Program (iLEAP) scores. A two-way ANOVA indicated that there were statistically significant differences in the mean scores of the three high poverty Louisiana school systems as well as the students taught by "highly qualified" and "non-highly qualified" teachers and the interactions between the two: F(2, 123) = 46.99, p < 0.01; F(1, 123) = 4.54, p = 0.035; F(2, 123) = 3.73, p = 0.027. A separate one-way ANOVA indicated that statistically significant differences existed between the six participating teachers in the study: F (5, 123) = 20.386, p < 0.01). Tukey's HSD post-hoc tests and homogeneous subset analyses were conducted in order to determine which teachers' scores significantly differed from each other.

An efficient calibration method for SQUID measurement system using three orthogonal Helmholtz coils

NASA Astrophysics Data System (ADS)

Hua, Li; Shu-Lin, Zhang; Chao-Xiang, Zhang; Xiang-Yan, Kong; Xiao-Ming, Xie

2016-06-01

For a practical superconducting quantum interference device (SQUID) based measurement system, the Tesla/volt coefficient must be accurately calibrated. In this paper, we propose a highly efficient method of calibrating a SQUID magnetometer system using three orthogonal Helmholtz coils. The Tesla/volt coefficient is regarded as the magnitude of a vector pointing to the normal direction of the pickup coil. By applying magnetic fields through a three-dimensional Helmholtz coil, the Tesla/volt coefficient can be directly calculated from magnetometer responses to the three orthogonally applied magnetic fields. Calibration with alternating current (AC) field is normally used for better signal-to-noise ratio in noisy urban environments and the results are compared with the direct current (DC) calibration to avoid possible effects due to eddy current. In our experiment, a calibration relative error of about 6.89 × 10-4 is obtained, and the error is mainly caused by the non-orthogonality of three axes of the Helmholtz coils. The method does not need precise alignment of the magnetometer inside the Helmholtz coil. It can be used for the multichannel magnetometer system calibration effectively and accurately. Project supported by the “Strategic Priority Research Program (B)” of the Chinese Academy of Sciences (Grant No. XDB04020200) and the Shanghai Municipal Science and Technology Commission Project, China (Grant No. 15DZ1940902).

Toward a science of learning systems: a research agenda for the high-functioning Learning Health System

PubMed Central

Friedman, Charles; Rubin, Joshua; Brown, Jeffrey; Buntin, Melinda; Corn, Milton; Etheredge, Lynn; Gunter, Carl; Musen, Mark; Platt, Richard; Stead, William; Sullivan, Kevin; Van Houweling, Douglas

2015-01-01

Objective The capability to share data, and harness its potential to generate knowledge rapidly and inform decisions, can have transformative effects that improve health. The infrastructure to achieve this goal at scale—marrying technology, process, and policy—is commonly referred to as the Learning Health System (LHS). Achieving an LHS raises numerous scientific challenges. Materials and methods The National Science Foundation convened an invitational workshop to identify the fundamental scientific and engineering research challenges to achieving a national-scale LHS. The workshop was planned by a 12-member committee and ultimately engaged 45 prominent researchers spanning multiple disciplines over 2 days in Washington, DC on 11–12 April 2013. Results The workshop participants collectively identified 106 research questions organized around four system-level requirements that a high-functioning LHS must satisfy. The workshop participants also identified a new cross-disciplinary integrative science of cyber-social ecosystems that will be required to address these challenges. Conclusions The intellectual merit and potential broad impacts of the innovations that will be driven by investments in an LHS are of great potential significance. The specific research questions that emerged from the workshop, alongside the potential for diverse communities to assemble to address them through a ‘new science of learning systems’, create an important agenda for informatics and related disciplines. PMID:25342177

Concerns and Responses for Integrating Health Systems Science Into Medical Education.

PubMed

Gonzalo, Jed D; Caverzagie, Kelly J; Hawkins, Richard E; Lawson, Luan; Wolpaw, Daniel R; Chang, Anna

2018-06-01

With the aim of improving the health of individuals and populations, medical schools are transforming curricula to ensure physician competence encompasses health systems science (HSS), which includes population health, health policy, high-value care, interprofessional teamwork, leadership, quality improvement, and patient safety. Large-scale, meaningful integration remains limited, however, and a major challenge in HSS curricular transformation efforts relates to the receptivity and engagement of students, educators, clinicians, scientists, and health system leaders. The authors identify several widely perceived challenges to integrating HSS into medical school curricula, respond to each concern, and provide potential strategies to address these concerns, based on their experiences designing and integrating HSS curricula. They identify two broad categories of concerns: the (1) relevance and importance of learning HSS-including the perception that there is inadequate urgency for change; HSS education is too complex and should occur in later years; early students would not be able to contribute, and the roles already exist; and the science is too nascent-and (2) logistics and practicality of teaching HSS-including limited curricular time, scarcity of faculty educators with expertise, lack of support from accreditation agencies and licensing boards, and unpreparedness of evolving health care systems to partner with schools with HSS curricula. The authors recommend the initiation and continuation of discussions between educators, clinicians, basic science faculty, health system leaders, and accrediting and regulatory bodies about the goals and priorities of medical education, as well as about the need to collaborate on new methods of education to reach these goals.

Ten-year Survival and Its Associated Factors in the Patients Undergoing Pacemaker Implantation in Hospitals Affiliated to Shiraz University of Medical Sciences During 2002 - 2012

PubMed Central

Rajaeefard, Abdolreza; Ghorbani, Mohammad; Babaee Baigi, Mohammad Ali; Tabatabae, Hamidreza

2015-01-01

Background: Heart failure is a prevalent disease affecting about 4.9 million people in the U.S. and more than 22 million individuals worldwide. Using electric pacemaker is the most common treatment for the patients with heart conduction problems. The present study aimed to determine the factors affecting survival in the patients undergoing pacemaker implantation in the hospitals affiliated to Shiraz University of Medical Sciences. Objectives: The aim of the present study was to identify the factors affecting the survival of the patients suffering from arrhythmia. Patients and Methods: This retrospective survival analysis was conducted on all 1207 patients with heart failure who had undergone permanent pacemaker implantation in the hospitals affiliated to Shiraz University of Medical Sciences from 2002 to 2012. The data were analyzed using non-parametric methods such as Kaplan-Meier method, life table, and Cox regression model. The risk factors of mortality were determined using multivariate Cox proportional hazards method. Results: Survival data were available for 1030 (80%) patients (median age = 71 years [5th to 95th percentile range: 26 - 86 years]) and follow-up was completed for 84.28% of them. According to the results, 56% of the patients had received dual-chamber systems, while 44% had been implanted by single-chamber ventricular systems. Moreover, sick sinus syndrome and pacemaker mode were independent predictors of increased mortality. Conclusions: In this study, sick sinus syndrome and pacemaker mode followed by syncope were independently associated with increased mortality. PMID:26734484

Next-Generation Climate Modeling Science Challenges for Simulation, Workflow and Analysis Systems

NASA Astrophysics Data System (ADS)

Koch, D. M.; Anantharaj, V. G.; Bader, D. C.; Krishnan, H.; Leung, L. R.; Ringler, T.; Taylor, M.; Wehner, M. F.; Williams, D. N.

2016-12-01

We will present two examples of current and future high-resolution climate-modeling research that are challenging existing simulation run-time I/O, model-data movement, storage and publishing, and analysis. In each case, we will consider lessons learned as current workflow systems are broken by these large-data science challenges, as well as strategies to repair or rebuild the systems. First we consider the science and workflow challenges to be posed by the CMIP6 multi-model HighResMIP, involving around a dozen modeling groups performing quarter-degree simulations, in 3-member ensembles for 100 years, with high-frequency (1-6 hourly) diagnostics, which is expected to generate over 4PB of data. An example of science derived from these experiments will be to study how resolution affects the ability of models to capture extreme-events such as hurricanes or atmospheric rivers. Expected methods to transfer (using parallel Globus) and analyze (using parallel "TECA" software tools) HighResMIP data for such feature-tracking by the DOE CASCADE project will be presented. A second example will be from the Accelerated Climate Modeling for Energy (ACME) project, which is currently addressing challenges involving multiple century-scale coupled high resolution (quarter-degree) climate simulations on DOE Leadership Class computers. ACME is anticipating production of over 5PB of data during the next 2 years of simulations, in order to investigate the drivers of water cycle changes, sea-level-rise, and carbon cycle evolution. The ACME workflow, from simulation to data transfer, storage, analysis and publication will be presented. Current and planned methods to accelerate the workflow, including implementing run-time diagnostics, and implementing server-side analysis to avoid moving large datasets will be presented.

NASA's astrophysics archives at the National Space Science Data Center

NASA Technical Reports Server (NTRS)

Vansteenberg, M. E.

1992-01-01

NASA maintains an archive facility for Astronomical Science data collected from NASA's missions at the National Space Science Data Center (NSSDC) at Goddard Space Flight Center. This archive was created to insure the science data collected by NASA would be preserved and useable in the future by the science community. Through 25 years of operation there are many lessons learned, from data collection procedures, archive preservation methods, and distribution to the community. This document presents some of these more important lessons, for example: KISS (Keep It Simple, Stupid) in system development. Also addressed are some of the myths of archiving, such as 'scientists always know everything about everything', or 'it cannot possibly be that hard, after all simple data tech's do it'. There are indeed good reasons that a proper archive capability is needed by the astronomical community, the important question is how to use the existing expertise as well as the new innovative ideas to do the best job archiving this valuable science data.

Exposing the Strategies that can Reduce the Obstacles: Improving the Science User Experience

NASA Astrophysics Data System (ADS)

Lindsay, F. E.; Brennan, J.; Behnke, J.; Lynnes, C.

2017-12-01

It is now well established that pursuing generic solutions to what seem are common problems in Earth science data access and use can often lead to disappointing results for both system developers and the intended users. This presentation focuses on real-world experience of managing a large and complex data system, NASA's Earth Science Data and Information Science System (EOSDIS), whose mission is to serve both broad user communities and those in smaller niche applications of Earth science data and services. In the talk, we focus on our experiences with known data user obstacles characterizing EOSDIS approaches, including various technological techniques, for engaging and bolstering, where possible, user experiences with EOSDIS. For improving how existing and prospective users discover and access NASA data from EOSDIS we introduce our cross-archive tool: Earthdata Search. This new search and order tool further empowers users to quickly access data sets using clever and intuitive features. The Worldview data visualization tool is also discussed highlighting how many users are now performing extensive data exploration without necessarily downloading data. Also, we explore our EOSDIS data discovery and access webinars, data recipes and short tutorials, targeted technical and data publications, user profiles and and social media as additional tools and methods used for improving our outreach and communications to a diverse user community. These efforts have paid substantial dividends for our user communities by allowing us to target discipline specific community needs. The desired take-away from this presentation will be an improved understanding of how EOSDIS has approached, and in several instances achieved, removing or lowering the barriers to data access and use. As we look ahead to more complex Earth science missions, EOSDIS will continue to focus on our user communities, both broad and specialized, so that our overall data system can continue to serve the needs of science and applications users.

Exposing the Strategies that Can Reduce the Obstacles: Improving the Science User Experience

NASA Technical Reports Server (NTRS)

Lindsay, Francis E.; Brennan, Jennifer; Behnke, Jeanne; Lynnes, Chris

2017-01-01

It is now well established that pursuing generic solutions to what seem are common problems in Earth science data access and use can often lead to disappointing results for both system developers and the intended users. This presentation focuses on real-world experience of managing a large and complex data system, NASAs Earth Science Data and Information Science System (EOSDIS), whose mission is to serve both broad user communities and those in smaller niche applications of Earth science data and services. In the talk, we focus on our experiences with known data user obstacles characterizing EOSDIS approaches, including various technological techniques, for engaging and bolstering, where possible, user experiences with EOSDIS. For improving how existing and prospective users discover and access NASA data from EOSDIS we introduce our cross-archive tool: Earthdata Search. This new search and order tool further empowers users to quickly access data sets using clever and intuitive features. The Worldview data visualization tool is also discussed highlighting how many users are now performing extensive data exploration without necessarily downloading data. Also, we explore our EOSDIS data discovery and access webinars, data recipes and short tutorials, targeted technical and data publications, user profiles and social media as additional tools and methods used for improving our outreach and communications to a diverse user community. These efforts have paid substantial dividends for our user communities by allowing us to target discipline specific community needs. The desired take-away from this presentation will be an improved understanding of how EOSDIS has approached, and in several instances achieved, removing or lowering the barriers to data access and use. As we look ahead to more complex Earth science missions, EOSDIS will continue to focus on our user communities, both broad and specialized, so that our overall data system can continue to serve the needs of science and applications users.

Rethinking the Elementary Science Methods Course: A Case for Content, Pedagogy, and Informal Science Education.

ERIC Educational Resources Information Center

Kelly, Janet

2000-01-01

Indicates the importance of preparing prospective teachers who will be elementary science teachers with different methods. Presents the theoretical and practical rationale for developing a constructivist-based elementary science methods course. Discusses the impact student knowledge and understanding of science and student attitudes has on…

Equation-free analysis of agent-based models and systematic parameter determination

NASA Astrophysics Data System (ADS)

Thomas, Spencer A.; Lloyd, David J. B.; Skeldon, Anne C.

2016-12-01

Agent based models (ABM)s are increasingly used in social science, economics, mathematics, biology and computer science to describe time dependent systems in circumstances where a description in terms of equations is difficult. Yet few tools are currently available for the systematic analysis of ABM behaviour. Numerical continuation and bifurcation analysis is a well-established tool for the study of deterministic systems. Recently, equation-free (EF) methods have been developed to extend numerical continuation techniques to systems where the dynamics are described at a microscopic scale and continuation of a macroscopic property of the system is considered. To date, the practical use of EF methods has been limited by; (1) the over-head of application-specific implementation; (2) the laborious configuration of problem-specific parameters; and (3) large ensemble sizes (potentially) leading to computationally restrictive run-times. In this paper we address these issues with our tool for the EF continuation of stochastic systems, which includes algorithms to systematically configuration problem specific parameters and enhance robustness to noise. Our tool is generic and can be applied to any 'black-box' simulator and determines the essential EF parameters prior to EF analysis. Robustness is significantly improved using our convergence-constraint with a corrector-repeat (C3R) method. This algorithm automatically detects outliers based on the dynamics of the underlying system enabling both an order of magnitude reduction in ensemble size and continuation of systems at much higher levels of noise than classical approaches. We demonstrate our method with application to several ABM models, revealing parameter dependence, bifurcation and stability analysis of these complex systems giving a deep understanding of the dynamical behaviour of the models in a way that is not otherwise easily obtainable. In each case we demonstrate our systematic parameter determination stage for configuring the system specific EF parameters.

The assignment of scores procedure for ordinal categorical data.

PubMed

Chen, Han-Ching; Wang, Nae-Sheng

2014-01-01

Ordinal data are the most frequently encountered type of data in the social sciences. Many statistical methods can be used to process such data. One common method is to assign scores to the data, convert them into interval data, and further perform statistical analysis. There are several authors who have recently developed assigning score methods to assign scores to ordered categorical data. This paper proposes an approach that defines an assigning score system for an ordinal categorical variable based on underlying continuous latent distribution with interpretation by using three case study examples. The results show that the proposed score system is well for skewed ordinal categorical data.

Introduction: Cybersecurity and Software Assurance Minitrack

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

Burns, Luanne; George, Richard; Linger, Richard C

Modern society is dependent on software systems of remarkable scope and complexity. Yet methods for assuring their security and functionality have not kept pace. The result is persistent compromises and failures despite best efforts. Cybersecurity methods must work together for situational awareness, attack prevention and detection, threat attribution, minimization of consequences, and attack recovery. Because defective software cannot be secure, assurance technologies must play a central role in cybersecurity approaches. There is increasing recognition of the need for rigorous methods for cybersecurity and software assurance. The goal of this minitrack is to develop science foundations, technologies, and practices that canmore » improve the security and dependability of complex systems.« less

Using design science research to develop online enhanced pharmaceutical care services.

PubMed

Lapão, Luís Velez; Gregório, João; Mello, Diogo; Cavaco, Afonso; Mira Da Silva, Miguel; Lovis, Christian

2014-01-01

The ePharmaCare project aims at assessing the potential of eHealth services for the provision of pharmaceutical services interacting actively with patients. The results presented here focus on the first three steps of Design Science Research Methodology. A mixed methods approach was used with an online survey to collect data on use of information technologies in community pharmacy, followed by an exploratory observational time and business processes study, which use the shadowing method to identify and assess the opportunity to lunch online services. Combining this with the Service Experiment Blueprint and the Dáder method an enhanced pharmaceutical service was designed. Next, an artifact is developed and a prototype is implemented to demonstrate the value of online pharmaceutical services' delivery. This new service could represent a new perspective for pharmaceutical services integration within the health system.

Diversity of Approaches to Structuring University-Based Earth System Science Education

NASA Astrophysics Data System (ADS)

Aron, J.; Ruzek, M.; Johnson, D. R.

2004-12-01

Over the past quarter century, the "Earth system science" paradigm has emerged among the interdisciplinary science community, emphasizing interactions among components hitherto considered within separate disciplines: atmosphere (air); hydrosphere (water); biosphere (life); lithosphere (land); anthroposphere (human dimension); and exosphere (solar system and beyond). How should the next generation of Earth system scientists learn to contribute to this interdisciplinary endeavor? There is no one simple answer. The Earth System Science Education program, funded by NASA, has addressed this question by supporting faculty at U.S. universities who develop new courses, curricula and degree programs in their institutional contexts. This report demonstrates the diversity of approaches to structuring university-based Earth system science education, focusing on the 18 current grantees of the Earth System Science Education Program for the 21st Century (ESSE21). One of the most fundamental characteristics is the departmental structure for teaching Earth system science. The "home" departments of the Earth system science faculty range from Earth sciences and physics to agronomy and social work. A brand-new institution created an interdisciplinary Institute for Earth Systems Science and Policy without traditional "parent" departments. Some institutions create new degree programs as majors or as minors while others work within existing degree programs to add or revise courses. A university may also offer multiple strands, such as a degree in the Science of the Earth System and a degree in the Human Dimensions of the Earth System. Defining a career path is extremely important to students considering Earth system science programs and a major institutional challenge for all programs in Earth system science education. How will graduate programs assess prospective students? How will universities and government agencies assess prospective faculty and scientists? How will government agencies allocate funds to interdisciplinary Earth system science and technology? Finally, how should the Earth system science education community evolve?

The relevance of traditional knowledge systems for ethnopharmacological research: theoretical and methodological contributions

PubMed Central

2010-01-01

Background Ethnopharmacology is at the intersection of the medical, natural, and social sciences. Despite its interdisciplinary nature, most ethnopharmacological research has been based on the combination of the chemical, biological, and pharmacological sciences. Far less attention has been given to the social sciences, including anthropology and the study of traditional knowledge systems. Methods I reviewed the literature on traditional knowledge systems highlighting its potential theoretical and methodological contributions to ethnopharmacology. Results I discuss three potential theoretical contributions of traditional knowledge systems to ethnopharmacological research. First, while many plants used in indigenous pharmacopoeias have active compounds, those compounds do not always act alone in indigenous healing systems. Research highlights the holistic nature of traditional knowledge systems and helps understand plant's efficacy in its cultural context. Second, research on traditional knowledge systems can improve our understanding of how ethnopharmacological knowledge is distributed in a society, and who benefits from it. Third, research on traditional knowledge systems can enhance the study of the social relations that enable the generation, maintenance, spread, and devolution of cultural traits and innovations, including ethnopharmacological knowledge. At a methodological level, some ethnopharmacologists have used anthropological tools to understand the context of plant use and local meanings of health and disease. I discuss two more potential methodological contributions of research on traditional knowledge systems to ethnopharmacological research. First, traditional knowledge systems research has developed methods that would help ethnopharmacologists understand how people classify illnesses and remedies, a fundamental aspect of folk medicinal plant selection criteria. Second, ethnopharmacologists could also borrow methods derived from cultural consensus theory to have a broader look at intracultural variation and at the analysis of transmission and loss of traditional ethnopharmacological knowledge. Conclusions Ethical considerations in the ethnopharmacology of the 21st century should go beyond the recognition of the Intellectual Property Rights or the acquisition of research permits, to include considerations on the healthcare of the original holders of ethnopharmacological knowledge. Ethnopharmacology can do more than speed up to recover the traditional knowledge of indigenous peoples to make it available for the development of new drugs. Ethnopharmacologists can work with health care providers in the developing world for the local implementation of ethnopharmacological research results. PMID:21083913

An undergraduate course, and new textbook, on ``Physical Models of Living Systems''

NASA Astrophysics Data System (ADS)

Nelson, Philip

2015-03-01

I'll describe an intermediate-level course on ``Physical Models of Living Systems.'' The only prerequisite is first-year university physics and calculus. The course is a response to rapidly growing interest among undergraduates in several science and engineering departments. Students acquire several research skills that are often not addressed in traditional courses, including: basic modeling skills, probabilistic modeling skills, data analysis methods, computer programming using a general-purpose platform like MATLAB or Python, dynamical systems, particularly feedback control. These basic skills, which are relevant to nearly any field of science or engineering, are presented in the context of case studies from living systems, including: virus dynamics; bacterial genetics and evolution of drug resistance; statistical inference; superresolution microscopy; synthetic biology; naturally evolved cellular circuits. Publication of a new textbook by WH Freeman and Co. is scheduled for December 2014. Supported in part by EF-0928048 and DMR-0832802.

Polar Bears or People?: How Framing Can Provide a Useful Analytic Tool to Understand & Improve Climate Change Communication in Classrooms

NASA Astrophysics Data System (ADS)

Busch, K. C.

2014-12-01

Not only will young adults bear the brunt of climate change's effects, they are also the ones who will be required to take action - to mitigate and to adapt. The Next Generation Science Standards include climate change, ensuring the topic will be covered in U.S. science classrooms in the near future. Additionally, school is a primary source of information about climate change for young adults. The larger question, though, is how can the teaching of climate change be done in such a way as to ascribe agency - a willingness to act - to students? Framing - as both a theory and an analytic method - has been used to understand how language in the media can affect the audience's intention to act. Frames function as a two-way filter, affecting both the message sent and the message received. This study adapted both the theory and the analytic methods of framing, applying them to teachers in the classroom to answer the research question: How do teachers frame climate change in the classroom? To answer this question, twenty-five lessons from seven teachers were analyzed using semiotic discourse analysis methods. It was found that the teachers' frames overlapped to form two distinct discourses: a Science Discourse and a Social Discourse. The Science Discourse, which was dominant, can be summarized as: Climate change is a current scientific problem that will have profound global effects on the Earth's physical systems. The Social Discourse, used much less often, can be summarized as: Climate change is a future social issue because it will have negative impacts at the local level on people. While it may not be surprising that the Science Discourse was most often heard in these science classrooms, it is possibly problematic if it were the only discourse used. The research literature on framing indicates that the frames found in the Science Discourse - global scale, scientific statistics and facts, and impact on the Earth's systems - are not likely to inspire action-taking. This study indicates that framing may be a useful theory for investigating how climate change is taught and learned in classrooms. In addition, suggestions are made for how to develop effective professional development for teachers to improve their communication of climate change.

An Innovative, Multidisciplinary Educational Program in Interactive Information Storage and Retrieval. M.S. Thesis Final Report, 1 Jul. 1985 - 31 Dec. 1987

NASA Technical Reports Server (NTRS)

Dominick, Wayne D. (Editor); Gallagher, Mary C.

1985-01-01

There exists a large number of large-scale bibliographic Information Storage and Retrieval Systems containing large amounts of valuable data of interest in a wide variety of research applications. These systems are not used to capacity because the end users, i.e., the researchers, have not been trained in the techniques of accessing such systems. This thesis describes the development of a transportable, university-level course in methods of querying on-line interactive Information Storage and Retrieval systems as a solution to this problem. This course was designed to instruct upper division science and engineering students to enable these end users to directly access such systems. The course is designed to be taught by instructors who are not specialists in either computer science or research skills. It is independent of any particular IS and R system or computer hardware. The project is sponsored by NASA and conducted by the University of Southwestern Louisiana and Southern University.

Using the Planetary Science Institute’s Meteorite Mini-Kits to Address the Nature of Science

NASA Astrophysics Data System (ADS)

Lebofsky, Larry A.; Cañizo, Thea L.; Buxner, Sanlyn

2014-11-01

Hands-on learning allows students to understand science concepts by directly observing and experiencing the topics they are studying. The Planetary Science Institute (PSI) has created instructional rock kits that have been introduced to elementary and middle school teachers in Tucson, in our professional development workshops. PSI provides teachers with supporting material and training so that they can use the kits as tools for students’ hands-on learning. Use of these kits provides an important experience with natural materials that is essential to instruction in Earth and Space Science. With a stronger knowledge of science content and of how science is actually conducted, the workshops and kits have instilled greater confidence in teachers’ ability to teach science content. The Next Generation Science Standards (NGSS) Performance Expectations includes: “What makes up our solar system?” NGSS emphasizes the Crosscutting Concepts—Patterns Scale, Portion, and Quantity; and Systems and System Models. NGSS also states that the Nature of Science (NOS) should be an “essential part” of science education. NOS topics include understanding that scientific investigations use a variety of methods, that scientific knowledge is based on empirical evidence, that scientific explanations are open to revision in light of new evidence, and an understanding of the nature of scientific models.Addressing a need expressed by teachers for borrowing kits less expensive than our $2000 option, we created a Meteorite Mini-Kit. Each Mini-Kit contains eight rocks: an iron-bearing chondrite, a sliced chondrite (showing iron and chondrules), a tektite, a common Tucson rock, a river-polished rock, pumice, a small iron, and a rounded obsidian rock (false tektite). Also included in the Mini-Kits are magnets and a magnifier. The kits cost $40 to $50, depending on the sizes of the chondrites. A teacher can check out a classroom set of these which contains either 10 or 20 Mini-Kits. Each kit includes a description of the rocks as well as suggestions for using them in the classroom. Our presentation will highlight their use in various venues.

Optimal Reorganization of NASA Earth Science Data for Enhanced Accessibility and Usability for the Hydrology Community

NASA Technical Reports Server (NTRS)

Teng, William; Rui, Hualan; Strub, Richard; Vollmer, Bruce

2016-01-01

A long-standing "Digital Divide" in data representation exists between the preferred way of data access by the hydrology community and the common way of data archival by earth science data centers. Typically, in hydrology, earth surface features are expressed as discrete spatial objects (e.g., watersheds), and time-varying data are contained in associated time series. Data in earth science archives, although stored as discrete values (of satellite swath pixels or geographical grids), represent continuous spatial fields, one file per time step. This Divide has been an obstacle, specifically, between the Consortium of Universities for the Advancement of Hydrologic Science, Inc. and NASA earth science data systems. In essence, the way data are archived is conceptually orthogonal to the desired method of access. Our recent work has shown an optimal method of bridging the Divide, by enabling operational access to long-time series (e.g., 36 years of hourly data) of selected NASA datasets. These time series, which we have termed "data rods," are pre-generated or generated on-the-fly. This optimal solution was arrived at after extensive investigations of various approaches, including one based on "data curtains." The on-the-fly generation of data rods uses "data cubes," NASA Giovanni, and parallel processing. The optimal reorganization of NASA earth science data has significantly enhanced the access to and use of the data for the hydrology user community.

Enhancing behavioral science education at the Ohio State University College of Medicine.

PubMed

Post, Douglas M; Stone, Linda C; Knutson, Douglas J; Gutierrez, Tamara L; Sari, Firuzan; Hudson, William A

2008-01-01

The social and behavioral sciences play key roles in patient health outcomes. Given this reality, successful development of social and behavioral science curricula in medical education is critically important to the quality of patients' lives and the effectiveness of health care delivery systems. The Institute of Medicine, in a recent report, recommended that medical schools enhance their curricula in these areas and identified four institutions as "exemplars" of social and behavioral science education. The authors describe an ongoing curriculum development and improvement process that produced one such exemplary program at The Ohio State University College of Medicine. The authors provide a historical perspective on behavioral science education, discuss issues that led to curricular change, and describe the principles and processes used to implement reform. Critical factors underlying positive change are addressed: increase active learning, recruit a core group of small-group facilitators who are primary care physicians, diversify teaching methods, support student-directed educational initiatives, enhance student-teacher relationships, centralize course administration, obtain funding, implement a faculty development program, and apply curriculum quality improvement methods. Outcome data from evaluations completed by both students and small-group physician faculty are presented, and future directions regarding further revision are outlined. The authors believe that the strategies they describe can be applied at other institutions and assist behavioral science educators who may experience the challenges typically encountered in this important field of medical education.

Patient safety - the role of human factors and systems engineering.

PubMed

Carayon, Pascale; Wood, Kenneth E

2010-01-01

Patient safety is a global challenge that requires knowledge and skills in multiple areas, including human factors and systems engineering. In this chapter, numerous conceptual approaches and methods for analyzing, preventing and mitigating medical errors are described. Given the complexity of healthcare work systems and processes, we emphasize the need for increasing partnerships between the health sciences and human factors and systems engineering to improve patient safety. Those partnerships will be able to develop and implement the system redesigns that are necessary to improve healthcare work systems and processes for patient safety.

In-depth methods for systemic exposure predictions

EPA Science Inventory

Exposure to a wide range of chemicals is ubiquitous and largely unavoidable within modern society. The potential for human exposure, however, has not been quantified for the vast majority of chemicals with wide commercial use. Creative advances in exposure science are needed to s...

Physical sciences: Thermodynamics, cryogenics, and vacuum technology: A compilation

NASA Technical Reports Server (NTRS)

1974-01-01

Technological developments which have potential application outside the aerospace community are reported. A variety of thermodynamic devices including heat pipes and cooling systems are described along with methods of handling cryogenic fluids. Vacuum devices are also described. Pata et information is included.

Applied statistics in agricultural, biological, and environmental sciences.

USDA-ARS?s Scientific Manuscript database

Agronomic research often involves measurement and collection of multiple response variables in an effort to understand the more complex nature of the system being studied. Multivariate statistical methods encompass the simultaneous analysis of all random variables measured on each experimental or s...

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.

Demodulation of acoustic telemetry binary phase shift keying signal based on high-order Duffing system

NASA Astrophysics Data System (ADS)

Yan, Bing-Nan; Liu, Chong-Xin; Ni, Jun-Kang; Zhao, Liang

2016-10-01

In order to grasp the downhole situation immediately, logging while drilling (LWD) technology is adopted. One of the LWD technologies, called acoustic telemetry, can be successfully applied to modern drilling. It is critical for acoustic telemetry technology that the signal is successfully transmitted to the ground. In this paper, binary phase shift keying (BPSK) is used to modulate carrier waves for the transmission and a new BPSK demodulation scheme based on Duffing chaos is investigated. Firstly, a high-order system is given in order to enhance the signal detection capability and it is realized through building a virtual circuit using an electronic workbench (EWB). Secondly, a new BPSK demodulation scheme is proposed based on the intermittent chaos phenomena of the new Duffing system. Finally, a system variable crossing zero-point equidistance method is proposed to obtain the phase difference between the system and the BPSK signal. Then it is determined that the digital signal transmitted from the bottom of the well is ‘0’ or ‘1’. The simulation results show that the demodulation method is feasible. Project supported by the National Natural Science Foundation of China (Grant No. 51177117) and the National Key Science & Technology Special Projects, China (Grant No. 2011ZX05021-005).

A proposed analytic framework for determining the impact of an antimicrobial resistance intervention.

PubMed

Grohn, Yrjo T; Carson, Carolee; Lanzas, Cristina; Pullum, Laura; Stanhope, Michael; Volkova, Victoriya

2017-06-01

Antimicrobial use (AMU) is increasingly threatened by antimicrobial resistance (AMR). The FDA is implementing risk mitigation measures promoting prudent AMU in food animals. Their evaluation is crucial: the AMU/AMR relationship is complex; a suitable framework to analyze interventions is unavailable. Systems science analysis, depicting variables and their associations, would help integrate mathematics/epidemiology to evaluate the relationship. This would identify informative data and models to evaluate interventions. This National Institute for Mathematical and Biological Synthesis AMR Working Group's report proposes a system framework to address the methodological gap linking livestock AMU and AMR in foodborne bacteria. It could evaluate how AMU (and interventions) impact AMR. We will evaluate pharmacokinetic/dynamic modeling techniques for projecting AMR selection pressure on enteric bacteria. We study two methods to model phenotypic AMR changes in bacteria in the food supply and evolutionary genotypic analyses determining molecular changes in phenotypic AMR. Systems science analysis integrates the methods, showing how resistance in the food supply is explained by AMU and concurrent factors influencing the whole system. This process is updated with data and techniques to improve prediction and inform improvements for AMU/AMR surveillance. Our proposed framework reflects both the AMR system's complexity, and desire for simple, reliable conclusions.

Improving processes through evolutionary optimization.

PubMed

Clancy, Thomas R

2011-09-01

As systems evolve over time, their natural tendency is to become increasingly more complex. Studies on complex systems have generated new perspectives on management in social organizations such as hospitals. Much of this research appears as a natural extension of the cross-disciplinary field of systems theory. This is the 18th in a series of articles applying complex systems science to the traditional management concepts of planning, organizing, directing, coordinating, and controlling. In this article, I discuss methods to optimize complex healthcare processes through learning, adaptation, and evolutionary planning.

Consumer language, patient language, and thesauri: a review of the literature

PubMed Central

Smith, Catherine A

2011-01-01

Objective: Online social networking sites are web services in which users create public or semipublic profiles and connect to build online communities, finding likeminded people through self-labeled personal attributes including ethnicity, leisure interests, political beliefs, and, increasingly, health status. Thirty-nine percent of patients in the United States identified themselves as users of social networks in a recent survey. “Tags,” user-generated descriptors functioning as labels for user-generated content, are increasingly important to social networking, and the language used by patients is thus becoming important for knowledge representation in these systems. However, patient language poses considerable challenges for health communication and networking. How have information systems traditionally incorporated these languages in their controlled vocabularies and thesauri? How do system builders know what consumers and patients say? Methods: This comprehensive review of the literature of health care (PubMed MEDLINE, CINAHL), library science, and information science (Library and Information Science and Technology Abstracts, Library and Information Science Abstracts, and Library Literature) examines the research domains in which consumer and patient language has been explored. Results: Consumer contributions to controlled vocabulary appear to be seriously under-researched inside and outside of health care. Conclusion: The author reflects on the implications of these findings for online social networks devoted to patients and the patient experience. PMID:21464851

Low-Pressure Testing of the Mars Science Laboratory’s Solid Sampling System: Test Methods and Preliminary Results

NASA Astrophysics Data System (ADS)

Mukherjee, S.; von der Heydt, M.; Hanson, C.; Jandura, L.

2009-12-01

The Mars Science Laboratory mission is scheduled to launch in 2011 with an extensive suite of in situ science instruments. Acquiring, processing and delivering appropriate samples of rock and martian regolith to the instruments is a critical component in realizing the science capability of these payload elements. However, there are a number of challenges in validating the design of these systems. In particular, differences in the environment (atmospheric pressure and composition, temperature, gravity), target materials (variation in rock and soil properties), and state of the hardware (electrical potential, particulate coatings) may effect sampling performance. To better understand the end-to-end system and allow development of mitigation strategies if necessary, early testing of high-fidelity engineering models of the hardware in the solid sample chain is being conducted. The components of the sample acquisition, processing & delivery chain that will be tested are the drill, scoop, sieves, portioners, and instrument inlet funnels. An evaluation of the environmental parameter space was conducted to identify a subset that may have significant effects on sampling performance and cannot be well bounded by analysis. Accordingly, support equipment to enable testing at Mars surface pressures (5-10 Torr), with carbon dioxide was designed and built. A description of the testing set-up, investigations, and preliminary results will be presented.

Measurement Science for Prognostics and Health Management for Smart Manufacturing Systems: Key Findings from a Roadmapping Workshop

PubMed Central

Weiss, Brian A.; Vogl, Gregory; Helu, Moneer; Qiao, Guixiu; Pellegrino, Joan; Justiniano, Mauricio; Raghunathan, Anand

2017-01-01

The National Institute of Standards and Technology (NIST) hosted the Roadmapping Workshop – Measurement Science for Prognostics and Health Management for Smart Manufacturing Systems (PHM4SMS) in Fall 2014 to discuss the needs and priorities of stakeholders in the PHM4SMS technology area. The workshop brought together over 70 members of the PHM community. The attendees included representatives from small, medium, and large manufacturers; technology developers and integrators; academic researchers; government organizations; trade associations; and standards bodies. The attendees discussed the current and anticipated measurement science challenges to advance PHM methods and techniques for smart manufacturing systems; the associated research and development needed to implement condition monitoring, diagnostic, and prognostic technologies within manufacturing environments; and the priorities to meet the needs of PHM in manufacturing. This paper will summarize the key findings of this workshop, and present some of the critical measurement science challenges and corresponding roadmaps, i.e., suggested courses of action, to advance PHM for manufacturing. Milestones and targeted capabilities will be presented for each roadmap across three areas: PHM Manufacturing Process Techniques; PHM Performance Assessment; and PHM Infrastructure – Hardware, Software, and Integration. An analysis of these roadmaps and crosscutting themes seen across the breakout sessions is also discussed. PMID:28664163

Concepts and methods in neuromodulation and functional electrical stimulation: an introduction.

PubMed

Holsheimer, J

1998-04-01

This article introduces two clinical fields in which stimulation is applied to the nervous system: neuromodulation and functional electrical stimulation. The concepts underlying these fields and their main clinical applications, as well as the methods and techniques used in each field, are described. Concepts and techniques common in one field that might be beneficial to the other are discussed. 1998 Blackwell Science, Inc.

Patient Satisfaction in Military Dental Treatment Facilities

DTIC Science & Technology

2006-03-07

assessing satisfaction. Dental Patient Satisfaction 58 References Abidi, H. (2003). Encyclopedia of Social Sciences Research Methods . Thousand Oaks (CA...Care System that gave me the opportunity to attend the Baylor Program and to complete the dual Masters in Business Administration program at The...Patient satisfaction is an integral component of the report cards and thus military dentistry had to develop a method of standardizing the assessment of

General linear methods and friends: Toward efficient solutions of multiphysics problems

NASA Astrophysics Data System (ADS)

Sandu, Adrian

2017-07-01

Time dependent multiphysics partial differential equations are of great practical importance as they model diverse phenomena that appear in mechanical and chemical engineering, aeronautics, astrophysics, meteorology and oceanography, financial modeling, environmental sciences, etc. There is no single best time discretization for the complex multiphysics systems of practical interest. We discuss "multimethod" approaches that combine different time steps and discretizations using the rigourous frameworks provided by Partitioned General Linear Methods and Generalize-structure Additive Runge Kutta Methods..

Science and management of Rocky Mountain grizzly bears

USGS Publications Warehouse

Mattson, D.J.; Herrero, S.; Wright, R.G.; Pease, C.M.

1996-01-01

The science and management of grizzly bears (Ursus arctos horribilis) in the Rocky Mountains of North America have spawned considerable conflict and controversy. Much of this can be attributed to divergent public values, but the narrow perceptions and incomplete and fragmented problem definitions of those involved have exacerbated an inherently difficult situation. We present a conceptual model that extends the traditional description of the grizzly bear conservation system to include facets of the human domain such as the behavior of managers, elected officials, and the public. The model focuses on human-caused mortality, the key determinant of grizzly bear population growth in this region and the interactions and feedback loops among humans that have a major potential influence on bear mortality. We also briefly evaluate existing information and technical methods relevant to understanding this complex human-biophysical system. We observe not only that the extant knowledge is insufficient for prediction (and in some cases for description), but also that traditional positivistic science alone is not adequate for dealing with the problems of grizzly bear conservation. We recommend changes in science and management that could improve learning and responsiveness among the involved individuals and organizations, clarify some existing uncertainty, and thereby increase the effectiveness of grizzly bear conservation and management. Although adaptive management is a promising approach, we point out some keya??as yet unfulfilleda??contingencies for implementation of a method such as this one that relies upon social processes and structures that promote open learning and flexibility in all facets of the policy process.

Brief history of agricultural systems modeling.

PubMed

Jones, James W; Antle, John M; Basso, Bruno; Boote, Kenneth J; Conant, Richard T; Foster, Ian; Godfray, H Charles J; Herrero, Mario; Howitt, Richard E; Janssen, Sander; Keating, Brian A; Munoz-Carpena, Rafael; Porter, Cheryl H; Rosenzweig, Cynthia; Wheeler, Tim R

2017-07-01

Agricultural systems science generates knowledge that allows researchers to consider complex problems or take informed agricultural decisions. The rich history of this science exemplifies the diversity of systems and scales over which they operate and have been studied. Modeling, an essential tool in agricultural systems science, has been accomplished by scientists from a wide range of disciplines, who have contributed concepts and tools over more than six decades. As agricultural scientists now consider the "next generation" models, data, and knowledge products needed to meet the increasingly complex systems problems faced by society, it is important to take stock of this history and its lessons to ensure that we avoid re-invention and strive to consider all dimensions of associated challenges. To this end, we summarize here the history of agricultural systems modeling and identify lessons learned that can help guide the design and development of next generation of agricultural system tools and methods. A number of past events combined with overall technological progress in other fields have strongly contributed to the evolution of agricultural system modeling, including development of process-based bio-physical models of crops and livestock, statistical models based on historical observations, and economic optimization and simulation models at household and regional to global scales. Characteristics of agricultural systems models have varied widely depending on the systems involved, their scales, and the wide range of purposes that motivated their development and use by researchers in different disciplines. Recent trends in broader collaboration across institutions, across disciplines, and between the public and private sectors suggest that the stage is set for the major advances in agricultural systems science that are needed for the next generation of models, databases, knowledge products and decision support systems. The lessons from history should be considered to help avoid roadblocks and pitfalls as the community develops this next generation of agricultural systems models.

Brief history of agricultural systems modeling

DOE PAGES

Jones, James W.; Antle, John M.; Basso, Bruno; ...

2017-06-21

Agricultural systems science generates knowledge that allows researchers to consider complex problems or take informed agricultural decisions. The rich history of this science exemplifies the diversity of systems and scales over which they operate and have been studied. Modeling, an essential tool in agricultural systems science, has been accomplished by scientists from a wide range of disciplines, who have contributed concepts and tools over more than six decades. As agricultural scientists now consider the "next generation" models, data, and knowledge products needed to meet the increasingly complex systems problems faced by society, it is important to take stock of thismore » history and its lessons to ensure that we avoid re-invention and strive to consider all dimensions of associated challenges. To this end, we summarize here the history of agricultural systems modeling and identify lessons learned that can help guide the design and development of next generation of agricultural system tools and methods. A number of past events combined with overall technological progress in other fields have strongly contributed to the evolution of agricultural system modeling, including development of process-based bio-physical models of crops and livestock, statistical models based on historical observations, and economic optimization and simulation models at household and regional to global scales. Characteristics of agricultural systems models have varied widely depending on the systems involved, their scales, and the wide range of purposes that motivated their development and use by researchers in different disciplines. Recent trends in broader collaboration across institutions, across disciplines, and between the public and private sectors suggest that the stage is set for the major advances in agricultural systems science that are needed for the next generation of models, databases, knowledge products and decision support systems. Furthermore, the lessons from history should be considered to help avoid roadblocks and pitfalls as the community develops this next generation of agricultural systems models.« less

Brief history of agricultural systems modeling

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

Jones, James W.; Antle, John M.; Basso, Bruno

Agricultural systems science generates knowledge that allows researchers to consider complex problems or take informed agricultural decisions. The rich history of this science exemplifies the diversity of systems and scales over which they operate and have been studied. Modeling, an essential tool in agricultural systems science, has been accomplished by scientists from a wide range of disciplines, who have contributed concepts and tools over more than six decades. As agricultural scientists now consider the "next generation" models, data, and knowledge products needed to meet the increasingly complex systems problems faced by society, it is important to take stock of thismore » history and its lessons to ensure that we avoid re-invention and strive to consider all dimensions of associated challenges. To this end, we summarize here the history of agricultural systems modeling and identify lessons learned that can help guide the design and development of next generation of agricultural system tools and methods. A number of past events combined with overall technological progress in other fields have strongly contributed to the evolution of agricultural system modeling, including development of process-based bio-physical models of crops and livestock, statistical models based on historical observations, and economic optimization and simulation models at household and regional to global scales. Characteristics of agricultural systems models have varied widely depending on the systems involved, their scales, and the wide range of purposes that motivated their development and use by researchers in different disciplines. Recent trends in broader collaboration across institutions, across disciplines, and between the public and private sectors suggest that the stage is set for the major advances in agricultural systems science that are needed for the next generation of models, databases, knowledge products and decision support systems. Furthermore, the lessons from history should be considered to help avoid roadblocks and pitfalls as the community develops this next generation of agricultural systems models.« less

Brief History of Agricultural Systems Modeling

NASA Technical Reports Server (NTRS)

Jones, James W.; Antle, John M.; Basso, Bruno O.; Boote, Kenneth J.; Conant, Richard T.; Foster, Ian; Godfray, H. Charles J.; Herrrero, Mario; Howitt, Richard E.; Janssen, Sandor;

Information management in Iranian Maternal Mortality Surveillance System.

PubMed

Sadoughi, Farahnaz; Karimi, Afsaneh; Erfannia, Leila

2017-07-01

Maternal mortality is preventable by proper information management and is the main target of the Maternal Mortality Surveillance System (MMSS). This study aimed to determine the status of information management in the Iranian Maternal Mortality Surveillance System (IMMSS). The population of this descriptive and analytical study, which was conducted in 2016, included 96 administrative staff of health and treatment deputies of universities of medical sciences and the Ministry of Health in Iran. Data were gathered by a five-part questionnaire with confirmed validity and reliability. A total of 76 questionnaires were completed, and data were analyzed using SPSS software, version 19, by descriptive and inferential statistics. The relationship between variables "organizational unit" and the four studied axes was studied using Kendall's correlation coefficient test. The status of information management in IMMSS was desirable. Data gathering and storage axis and data processing and compilation axis achieved the highest (2.7±0.46) and the lowest (2.4±0.49) mean scores, respectively. The data-gathering method, control of a sample of women deaths in reproductive age in the universities of medical sciences, use of international classification of disease, and use of this system information by management teams to set resources allocation achieved the lowest mean scores in studied axes. Treatment deputy staff had a more positive attitude toward the status of information management of IMMSS than the health deputy staff (p=0.004). Although the status of information management in IMMSS was desirable, it could be improved by modification of the data-gathering method; creating communication links between different data resources; a periodic sample control of women deaths in reproductive age in the universities of medical sciences; and implementing ICD-MM and integration of its rules on a unified system of death.

A nano-scale mirror-like surface of Ti-6Al-4V attained by chemical mechanical polishing

NASA Astrophysics Data System (ADS)

Chenliang, Liang; Weili, Liu; Shasha, Li; Hui, Kong; Zefang, Zhang; Zhitang, Song

2016-05-01

Metal Ti and its alloys have been widely utilized in the fields of aviation, medical science, and micro-electro-mechanical systems, for its excellent specific strength, resistance to corrosion, and biological compatibility. As the application of Ti moves to the micro or nano scale, however, traditional methods of planarization have shown their short slabs. Thus, we introduce the method of chemical mechanical polishing (CMP) to provide a new way for the nano-scale planarization method of Ti alloys. We obtain a mirror-like surface, whose flatness is of nano-scale, via the CMP method. We test the basic mechanical behavior of Ti-6Al-4V (Ti64) in the CMP process, and optimize the composition of CMP slurry. Furthermore, the possible reactions that may take place in the CMP process have been studied by electrochemical methods combined with x-ray photoelectron spectroscopy (XPS). An equivalent circuit has been built to interpret the dynamic of oxidation. Finally, a model has been established to explain the synergy of chemical and mechanical effects in the CMP of Ti-6Al-4V. Project supported by the National Major Scientific and Technological Special Project during the Twelfth Five-year Plan Period of China (Grant No. 2009ZX02030-1), the National Natural Science Foundation of China (Grant No. 51205387), the Support by Science and Technology Commission of Shanghai City, China (Grant No. 11nm0500300), and the Science and Technology Commission of Shanghai City, China (Grant No. 14XD1425300).

Monitoring volcanic threats using ASTER satellite data

USGS Publications Warehouse

Duda, K.A.; Wessels, R.; Ramsey, M.; Dehn, J.

2008-01-01

This document summarizes ongoing activities associated with a research project funded by the National Aeronautics and Space Administration (NASA) focusing on volcanic change detection through the use of satellite imagery. This work includes systems development as well as improvements in data analysis methods. Participating organizations include the NASA Land Processes Distributed Active Archive Center (LP DAAC) at the U.S. Geological Survey (USGS) Center for Earth Resources Observation and Science (EROS), the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Science Team, the Alaska Volcano Observatory (AVO) at the USGS Alaska Science Center, the Jet Propulsion Laboratory/California Institute of Technology (JPL/CalTech), the University of Pittsburgh, and the University of Alaska Fairbanks. ?? 2007 IEEE.

Computer Science Research at Langley

NASA Technical Reports Server (NTRS)

Voigt, S. J. (Editor)

1982-01-01

A workshop was held at Langley Research Center, November 2-5, 1981, to highlight ongoing computer science research at Langley and to identify additional areas of research based upon the computer user requirements. A panel discussion was held in each of nine application areas, and these are summarized in the proceedings. Slides presented by the invited speakers are also included. A survey of scientific, business, data reduction, and microprocessor computer users helped identify areas of focus for the workshop. Several areas of computer science which are of most concern to the Langley computer users were identified during the workshop discussions. These include graphics, distributed processing, programmer support systems and tools, database management, and numerical methods.

Effective geoscience pedagogy at the undergraduate level

NASA Astrophysics Data System (ADS)

Warden, Kelsey

This investigation used constructivist pedagogical methods within the framework of an introductory level undergraduate geoscience course to gauge both the changes in attitude and cognition of students. Pedagogy was modified in the laboratory setting, but maintained in the lecture setting and homework. Curriculum was also maintained in the lecture, but was changed in the laboratory to emphasize the large concepts and systems stressed in Earth Science Literacy Principles. Student understanding of these concepts and systems was strengthened by factual knowledge, but recall and memorization were not the goal of the laboratory instruction. The overall goal of the study was to build student understanding more effectively than in previous semesters such that the students would become Earth Science literate adults. We hypothesized that a healthy comprehension of the connections between the human population and Earth's systems would lead to improved cognition and attitude toward Earth Science. This was tested using pre- and post-testing of attitudes via an anonymous survey on the first and last days of the laboratory, student responses to the end-of-course evaluations, and student performance on early-semester and late-semester content testing. The results support the hypotheses.

Creating a national citizen engagement process for energy policy

PubMed Central

Pidgeon, Nick; Demski, Christina; Butler, Catherine; Parkhill, Karen; Spence, Alexa

2014-01-01

This paper examines some of the science communication challenges involved when designing and conducting public deliberation processes on issues of national importance. We take as our illustrative case study a recent research project investigating public values and attitudes toward future energy system change for the United Kingdom. National-level issues such as this are often particularly difficult to engage the public with because of their inherent complexity, derived from multiple interconnected elements and policy frames, extended scales of analysis, and different manifestations of uncertainty. With reference to the energy system project, we discuss ways of meeting a series of science communication challenges arising when engaging the public with national topics, including the need to articulate systems thinking and problem scale, to provide balanced information and policy framings in ways that open up spaces for reflection and deliberation, and the need for varied methods of facilitation and data synthesis that permit access to participants’ broader values. Although resource intensive, national-level deliberation is possible and can produce useful insights both for participants and for science policy. PMID:25225393

Creating a national citizen engagement process for energy policy.

PubMed

Pidgeon, Nick; Demski, Christina; Butler, Catherine; Parkhill, Karen; Spence, Alexa

2014-09-16

This paper examines some of the science communication challenges involved when designing and conducting public deliberation processes on issues of national importance. We take as our illustrative case study a recent research project investigating public values and attitudes toward future energy system change for the United Kingdom. National-level issues such as this are often particularly difficult to engage the public with because of their inherent complexity, derived from multiple interconnected elements and policy frames, extended scales of analysis, and different manifestations of uncertainty. With reference to the energy system project, we discuss ways of meeting a series of science communication challenges arising when engaging the public with national topics, including the need to articulate systems thinking and problem scale, to provide balanced information and policy framings in ways that open up spaces for reflection and deliberation, and the need for varied methods of facilitation and data synthesis that permit access to participants' broader values. Although resource intensive, national-level deliberation is possible and can produce useful insights both for participants and for science policy.

Integration science and distributed networks

NASA Astrophysics Data System (ADS)

Landauer, Christopher; Bellman, Kirstie L.

2002-07-01

Our work on integration of data and knowledge sources is based in a common theoretical treatment of 'Integration Science', which leads to systematic processes for combining formal logical and mathematical systems, computational and physical systems, and human systems and organizations. The theory is based on the processing of explicit meta-knowledge about the roles played by the different knowledge sources and the methods of analysis and semantic implications of the different data values, together with information about the context in which and the purpose for which they are being combined. The research treatment is primarily mathematical, and though this kind of integration mathematics is still under development, there are some applicable common threads that have emerged already. Instead of describing the current state of the mathematical investigations, since they are not yet crystallized enough for formalisms, we describe our applications of the approach in several different areas, including our focus area of 'Constructed Complex Systems', which are complex heterogeneous systems managed or mediated by computing systems. In this context, it is important to remember that all systems are embedded, all systems are autonomous, and that all systems are distributed networks.

Innovations in Science Education in Europe

NASA Astrophysics Data System (ADS)

Schuepbach, E.

2001-12-01

At many European Universities, the retention of skilled science graduates is hindered mainly by organisational structures. In particular, women students are often under-represented in sciences, and career progression is in general difficult. The linear system of knowhow transfer is inefficient from the pedagogical point of view and unsatisfactory for many students. Owing to fast changes in society and the working environment, a re-building of curricula in tertiary education (including University Education) has begun. Conceptual visions aim at influencing the investment in the largely untapped human capital and preparing the students for quick adaptation and enhanced flexiblity. Traditional methods of classroom teaching and knowhow transfer are increasingly complemented by New Learning Technologies and Mentoring. The EU Project INDECS (Potentials of Interdisciplinary Degree Courses in Engineering, Information Technology, Natural and Socio-Economic Sciences in a Changing Society) examines such pedagogical aspects in European degree courses combining engineering, IT, physical sciences and socio-economic sciences. Inclusion of specific IT and social science topics in modular form is examined. How innovation in University Teaching will meet the attractiveness to both students and employers in Europe is major focus of the study.

A short history of the soil science discipline

NASA Astrophysics Data System (ADS)

Brevik, E. C.; Hartemink, A. E.

2012-04-01

Since people have cultivated the land they have generated and created knowledge about its soil. By the 4th century most civilizations around had various levels of soil knowledge and that includes irrigation, the use of terraces to control soil erosion, methods to maintain and improve soil fertility. The early soil knowledge was largely empirical and based on observations. Many famous scientists, for example, Francis Bacon, Robert Boyle, Charles Darwin, and Leonardo da Vinci worked on soil issues. Soil science became a true science in the 19th century with the development of genetic soil science, lead by the Russian Vasilii V. Dokuchaev. In the beginning soil science had strong ties to both geology and agriculture but in the 20th century, soil science is now being applied in residential development, the planning of highways, building foundations, septic systems, wildlife management, environmental management, and many other applications. The discipline is maturing and soil science plays a crucial role in many of the current issues that confront the world like climate change, water scarcity, biodiversity and environmental degradation.

GIS and paleoanthropology: incorporating new approaches from the geospatial sciences in the analysis of primate and human evolution.

PubMed

Anemone, R L; Conroy, G C; Emerson, C W

2011-01-01

The incorporation of research tools and analytical approaches from the geospatial sciences is a welcome trend for the study of primate and human evolution. The use of remote sensing (RS) imagery and geographic information systems (GIS) allows vertebrate paleontologists, paleoanthropologists, and functional morphologists to study fossil localities, landscapes, and individual specimens in new and innovative ways that recognize and analyze the spatial nature of much paleoanthropological data. Whether one is interested in locating and mapping fossiliferous rock units in the field, creating a searchable and georeferenced database to catalog fossil localities and specimens, or studying the functional morphology of fossil teeth, bones, or artifacts, the new geospatial sciences provide an essential element in modern paleoanthropological inquiry. In this article we review recent successful applications of RS and GIS within paleoanthropology and related fields and argue for the importance of these methods for the study of human evolution in the twenty first century. We argue that the time has come for inclusion of geospatial specialists in all interdisciplinary field research in paleoanthropology, and suggest some promising areas of development and application of the methods of geospatial science to the science of human evolution. Copyright © 2011 Wiley Periodicals, Inc.

The implementation and use of Ada on distributed systems with high reliability requirements

NASA Technical Reports Server (NTRS)

Knight, J. C.

1986-01-01

The general inadequacy of Ada for programming systems that must survive processor loss was shown. A solution to the problem was proposed in which there are no syntatic changes to Ada. The approach was evaluated using a full-scale, realistic application. The application used was the Advanced Transport Operating System (ATOPS), an experimental computer control system developed for a modified Boeing 737 aircraft. The ATOPS system is a full authority, real-time avionics system providing a large variety of advanced features. Methods of building fault tolerance into concurrent systems were explored. A set of criteria by which the proposed method will be judged was examined. Extensive interaction with personnel from Computer Sciences Corporation and NASA Langley occurred to determine the requirements of the ATOPS software. Backward error recovery in concurrent systems was assessed.

Earth System Science: Problem-based Learning Courses for Teachers Through ESSEA

NASA Astrophysics Data System (ADS)

Close, E.; Witiw, M. R.

2007-12-01

One method that has proven effective in the study of Earth system science is to use a problem-based and event- centered course organization. In such a course, different events that occur in the Earth system are examined and how each event influences subsequent events in each of Earth's spheres (the atmosphere, hydrosphere, biosphere and lithosphere) is studied. A course is composed of several problem-based modules, where each module is centered about a particular event or issue that is important to the Earth system. The Institute for Global Environmental Strategies (IGES) was recently awarded a grant by the National Science Foundation's Geo-Teach program to develop and implement courses for teachers in Earth system science. Through the Earth System Science Education Alliance (ESSEA), IGES subsequently made awards to a group of 24 universities. Under the ESSEA program, problem-based modules are being developed for courses for middle school and high school teachers. In a typical university schedule, each module is designed to last three weeks and includes both group work and individual assignments. In the first week ("Teacher as Problem Solver"), participants explore their own ideas concerning the event and exchange their ideas with other members of their group. In the second week ("Teacher as Scholar"), participants research the issue and become more familiar with the event and the sphere-to-sphere interactions that occur. In the last week ("Teacher as Designer"), each participant develops a lesson plan for his or her own classroom. Current ESSEA modules cover topics such as volcanoes, Brazilian deforestation, Antarctic ice sheets, coral reefs, and stratospheric ozone depletion. Many new modules are under development with topics that range from plate tectonics and tsunamis to agriculture and sustainable water systems. Seattle Pacific University, in cooperation with Seattle Public Schools, was recently awarded a three-year grant by IGES to provide Earth system science education courses to middle and high school teachers. Teachers who complete the course are eligible for Continuing Education Units or graduate credit through Seattle Pacific University. Both three-credit and five-credit courses will be offered. All tuition costs will be paid by the grant. The courses will be offered in a hybrid online-classroom format. Future plans include offering an Earth system science course for pre-service teachers. In this talk we will describe the structure and content of the ESSEA modules with examples from currently available modules. We will also outline the development and planned implementation of a five-credit ESSEA course for area high school teachers to be offered at Seattle Pacific University in spring of 2008.

Finding fossils in new ways: an artificial neural network approach to predicting the location of productive fossil localities.

PubMed

Anemone, Robert; Emerson, Charles; Conroy, Glenn

2011-01-01

Chance and serendipity have long played a role in the location of productive fossil localities by vertebrate paleontologists and paleoanthropologists. We offer an alternative approach, informed by methods borrowed from the geographic information sciences and using recent advances in computer science, to more efficiently predict where fossil localities might be found. Our model uses an artificial neural network (ANN) that is trained to recognize the spectral characteristics of known productive localities and other land cover classes, such as forest, wetlands, and scrubland, within a study area based on the analysis of remotely sensed (RS) imagery. Using these spectral signatures, the model then classifies other pixels throughout the study area. The results of the neural network classification can be examined and further manipulated within a geographic information systems (GIS) software package. While we have developed and tested this model on fossil mammal localities in deposits of Paleocene and Eocene age in the Great Divide Basin of southwestern Wyoming, a similar analytical approach can be easily applied to fossil-bearing sedimentary deposits of any age in any part of the world. We suggest that new analytical tools and methods of the geographic sciences, including remote sensing and geographic information systems, are poised to greatly enrich paleoanthropological investigations, and that these new methods should be embraced by field workers in the search for, and geospatial analysis of, fossil primates and hominins. Copyright © 2011 Wiley-Liss, Inc.

Dilemmas of Teaching Inquiry in Elementary Science Methods

ERIC Educational Resources Information Center

Newman, William J., Jr.; Abell, Sandra K.; Hubbard, Paula D.; McDonald, James; Otaala, Justine; Martini, Mariana

2004-01-01

Because various definitions of inquiry exist in the science education literature and in classroom practice, elementary science methods students and instructors face dilemmas during the study of inquiry. Using field notes, instructor anecdotal notes, student products, and course artifacts, science methods course instructors created fictional…

High School Students' Written Argumentation Qualities with Problem-Based Computer-Aided Material (PBCAM) Designed about Human Endocrine System

ERIC Educational Resources Information Center

Vekli, Gülsah Sezen; Çimer, Atilla

2017-01-01

This study investigated development of students' scientific argumentation levels in the applications made with Problem-Based Computer-Aided Material (PBCAM) designed about Human Endocrine System. The case study method was used: The study group was formed of 43 students in the 11th grade of the science high school in Rize. Human Endocrine System…

EOS MLS Science Data Processing System: A Description of Architecture and Capabilities

NASA Technical Reports Server (NTRS)

Cuddy, David T.; Echeverri, Mark D.; Wagner, Paul A.; Hanzel, Audrey T.; Fuller, Ryan A.

2006-01-01

This paper describes the architecture and capabilities of the Science Data Processing System (SDPS) for the EOS MLS. The SDPS consists of two major components--the Science Computing Facility and the Science Investigator-led Processing System. The Science Computing Facility provides the facilities for the EOS MLS Science Team to perform the functions of scientific algorithm development, processing software development, quality control of data products, and scientific analyses. The Science Investigator-led Processing System processes and reprocesses the science data for the entire mission and delivers the data products to the Science Computing Facility and to the Goddard Space Flight Center Earth Science Distributed Active Archive Center, which archives and distributes the standard science products.

Atmospheric Risk Assessment for the Mars Science Laboratory Entry, Descent, and Landing System

NASA Technical Reports Server (NTRS)

Chen, Allen; Vasavada, Ashwin; Cianciolo, Alicia; Barnes, Jeff; Tyler, Dan; Hinson, David; Lewis, Stephen

2010-01-01

In 2012, the Mars Science Laboratory (MSL) mission will pioneer the next generation of robotic Entry, Descent, and Landing (EDL) systems, by delivering the largest and most capable rover to date to the surface of Mars. As with previous Mars landers, atmospheric conditions during entry, descent, and landing directly impact the performance of MSL's EDL system. While the vehicle's novel guided entry system allows it to "fly out" a range of atmospheric uncertainties, its trajectory through the atmosphere creates a variety of atmospheric sensitivities not present on previous Mars entry systems and landers. Given the mission's stringent landing capability requirements, understanding the atmosphere state and spacecraft sensitivities takes on heightened importance. MSL's guided entry trajectory differs significantly from recent Mars landers and includes events that generate different atmospheric sensitivities than past missions. The existence of these sensitivities and general advancement in the state of Mars atmospheric knowledge has led the MSL team to employ new atmosphere modeling techniques in addition to past practices. A joint EDL engineering and Mars atmosphere science and modeling team has been created to identify the key system sensitivities, gather available atmospheric data sets, develop relevant atmosphere models, and formulate methods to integrate atmosphere information into EDL performance assessments. The team consists of EDL engineers, project science staff, and Mars atmospheric scientists from a variety of institutions. This paper provides an overview of the system performance sensitivities that have driven the atmosphere modeling approach, discusses the atmosphere data sets and models employed by the team as a result of the identified sensitivities, and introduces the tools used to translate atmospheric knowledge into quantitative EDL performance assessments.

Application of real-time digitization techniques in beam measurement for accelerators

NASA Astrophysics Data System (ADS)

Zhao, Lei; Zhan, Lin-Song; Gao, Xing-Shun; Liu, Shu-Bin; An, Qi

2016-04-01

Beam measurement is very important for accelerators. In this paper, modern digital beam measurement techniques based on IQ (In-phase & Quadrature-phase) analysis are discussed. Based on this method and high-speed high-resolution analog-to-digital conversion, we have completed three beam measurement electronics systems designed for the China Spallation Neutron Source (CSNS), Shanghai Synchrotron Radiation Facility (SSRF), and Accelerator Driven Sub-critical system (ADS). Core techniques of hardware design and real-time system calibration are discussed, and performance test results of these three instruments are also presented. Supported by National Natural Science Foundation of China (11205153, 10875119), Knowledge Innovation Program of the Chinese Academy of Sciences (KJCX2-YW-N27), and the Fundamental Research Funds for the Central Universities (WK2030040029),and the CAS Center for Excellence in Particle Physics (CCEPP).

Model of Higher GIS Education

ERIC Educational Resources Information Center

Jakab, Imrich; Ševcík, Michal; Grežo, Henrich

2017-01-01

The methods of geospatial data processing are being continually innovated, and universities that are focused on educating experts in Environmental Science should reflect this reality with an elaborate and purpose-built modernization of the education process, education content, as well as learning conditions. Geographic Information Systems (GIS)…

Using Technology in Pre-School Education

ERIC Educational Resources Information Center

Can-Yasar, Munevver; Inal, Gozde; Uyanik, Ozgun; Kandir, Adalet

2012-01-01

Technology is the collection of machines, processes, methods, transactions, systems, administration and supervision mechanism, which serves as a bridge between science and practice and helps meet human needs using available information, materials, sources and energy. The developments in technology and educational aims follow a parallelism, which…

Developing a virtual community for health sciences library book selection: Doody's Core Titles.

PubMed

Shedlock, James; Walton, Linda J

2006-01-01

The purpose of this article is to describe Doody's Core Titles in the Health Sciences as a new selection guide and a virtual community based on an effective use of online systems and to describe its potential impact on library collection development. The setting is the availability of health sciences selection guides. Participants include Doody Enterprise staff, Doody's Library Board of Advisors, content specialists, and library selectors. Resources include the online system used to create Doody's Core Titles along with references to complementary databases. Doody's Core Titles is described and discussed in relation to the literature of selection guides, especially in comparison to the Brandon/Hill selected lists that were published from 1965 to 2003. Doody's Core Titles seeks to fill the vacuum created when the Brandon/Hill lists ceased publication. Doody's Core Titles is a unique selection guide based on its method of creating an online community of experts to identify and score a core list of titles in 119 health sciences specialties and disciplines. The result is a new selection guide, now available annually, that will aid health sciences librarians in identifying core titles for local collections. Doody's Core Titles organizes the evaluation of core titles that are identified and recommended by content specialists associated with Doody's Book Review Service and library selectors. A scoring mechanism is used to create the selection of core titles, similar to the star rating system employed in other Doody Enterprise products and services.

Enlightening discriminative network functional modules behind Principal Component Analysis separation in differential-omic science studies

PubMed Central

Ciucci, Sara; Ge, Yan; Durán, Claudio; Palladini, Alessandra; Jiménez-Jiménez, Víctor; Martínez-Sánchez, Luisa María; Wang, Yuting; Sales, Susanne; Shevchenko, Andrej; Poser, Steven W.; Herbig, Maik; Otto, Oliver; Androutsellis-Theotokis, Andreas; Guck, Jochen; Gerl, Mathias J.; Cannistraci, Carlo Vittorio

2017-01-01

Omic science is rapidly growing and one of the most employed techniques to explore differential patterns in omic datasets is principal component analysis (PCA). However, a method to enlighten the network of omic features that mostly contribute to the sample separation obtained by PCA is missing. An alternative is to build correlation networks between univariately-selected significant omic features, but this neglects the multivariate unsupervised feature compression responsible for the PCA sample segregation. Biologists and medical researchers often prefer effective methods that offer an immediate interpretation to complicated algorithms that in principle promise an improvement but in practice are difficult to be applied and interpreted. Here we present PC-corr: a simple algorithm that associates to any PCA segregation a discriminative network of features. Such network can be inspected in search of functional modules useful in the definition of combinatorial and multiscale biomarkers from multifaceted omic data in systems and precision biomedicine. We offer proofs of PC-corr efficacy on lipidomic, metagenomic, developmental genomic, population genetic, cancer promoteromic and cancer stem-cell mechanomic data. Finally, PC-corr is a general functional network inference approach that can be easily adopted for big data exploration in computer science and analysis of complex systems in physics. PMID:28287094

Complex systems: physics beyond physics

NASA Astrophysics Data System (ADS)

Holovatch, Yurij; Kenna, Ralph; Thurner, Stefan

2017-03-01

Complex systems are characterised by specific time-dependent interactions among their many constituents. As a consequence they often manifest rich, non-trivial and unexpected behaviour. Examples arise both in the physical and non-physical worlds. The study of complex systems forms a new interdisciplinary research area that cuts across physics, biology, ecology, economics, sociology, and the humanities. In this paper we review the essence of complex systems from a physicists' point of view, and try to clarify what makes them conceptually different from systems that are traditionally studied in physics. Our goal is to demonstrate how the dynamics of such systems may be conceptualised in quantitative and predictive terms by extending notions from statistical physics and how they can often be captured in a framework of co-evolving multiplex network structures. We mention three areas of complex-systems science that are currently studied extensively, the science of cities, dynamics of societies, and the representation of texts as evolutionary objects. We discuss why these areas form complex systems in the above sense. We argue that there exists plenty of new ground for physicists to explore and that methodical and conceptual progress is needed most.

Underlying Principles of Natural Selection in Network Evolution: Systems Biology Approach

PubMed Central

Chen, Bor-Sen; Wu, Wei-Sheng

2007-01-01

Systems biology is a rapidly expanding field that integrates diverse areas of science such as physics, engineering, computer science, mathematics, and biology toward the goal of elucidating the underlying principles of hierarchical metabolic and regulatory systems in the cell, and ultimately leading to predictive understanding of cellular response to perturbations. Because post-genomics research is taking place throughout the tree of life, comparative approaches offer a way for combining data from many organisms to shed light on the evolution and function of biological networks from the gene to the organismal level. Therefore, systems biology can build on decades of theoretical work in evolutionary biology, and at the same time evolutionary biology can use the systems biology approach to go in new uncharted directions. In this study, we present a review of how the post-genomics era is adopting comparative approaches and dynamic system methods to understand the underlying design principles of network evolution and to shape the nascent field of evolutionary systems biology. Finally, the application of evolutionary systems biology to robust biological network designs is also discussed from the synthetic biology perspective. PMID:19468310

MUSE - Mission to the Uranian system: Unveiling the evolution and formation of ice giants

NASA Astrophysics Data System (ADS)

Bocanegra-Bahamón, Tatiana; Bracken, Colm; Costa Sitjà, Marc; Dirkx, Dominic; Gerth, Ingo; Konstantinidis, Kostas; Labrianidis, Christos; Laneuville, Matthieu; Luntzer, Armin; MacArthur, Jane L.; Maier, Andrea; Morschhauser, Achim; Nordheim, Tom A.; Sallantin, Renaud; Tlustos, Reinhard

2015-05-01

The planet Uranus, one of the two ice giants in the Solar System, has only been visited once by the Voyager 2 spacecraft in 1986. Ice giants represent a fundamental class of planets, and many known exoplanets fall within this category. Therefore, a dedicated mission to an ice giant is crucial to improve the understanding of the formation, evolution and current characteristics of such planets in order to extend the knowledge of both the Solar System and exoplanetary systems. In the study at hand, the rationale, selection, and conceptual design for a mission to investigate the Uranian system, as an archetype for ice giants, is presented. A structured analysis of science questions relating to the Uranian system is performed, categorized by the themes atmosphere, interior, moons and rings, and magnetosphere. In each theme, science questions are defined, with their relative importance in the theme quantified. Additionally, top-level weights for each theme are defined, with atmosphere and interior weighted the strongest, as they are more related to both exoplanetary systems and the Uranian system, than the other two themes (which are more specific for the planet itself). Several top level mission architecture aspects have been defined, from which the most promising concepts were generated using heuristic methods. A trade-off analysis of these concepts is presented, separately, for engineering aspects, such as cost, complexity, and risk, and for science aspects. The science score for each mission is generated from the capability of each mission concept to answer the science questions. The trade-off results in terms of relative science and engineering weight are presented, and competitive mission concepts are analyzed based on the preferred mission type. A mission design point for a typical flagship science mission is selected from the trade space. It consists of a Uranus orbiter with a dry mass of 2073 kg including 402 kg of payload and a Uranus entry probe, which is to perform measurements down 100 bar atmospheric pressure. The orbiter science phase will consist of a Uranus orbit phase of approximately 2 years in a highly elliptical orbit, during which 36 Uranus orbits are performed. Subsequently, a moon phase is performed, during which the periapsis will be raised in five steps, facilitating 9 flybys of each of Uranus' major moons. A preliminary vehicle design is presented, seeking the best compromise between the design drivers, which basically derive from the large distance between Uranus and the Earth (e.g., high thermal load during Venus flyby, low thermal load during Uranus science phase, low data-rate during Uranus science phase, the need of radioisotope power source, etc). This paper is the result of a study carried out during the Alpbach Summer School 2012 "Exploration of the icy planets and their systems" and a one-week follow-up meeting in Graz, Austria. The results of this study show that a flagship ESA L-class mission - consisting of an orbiter with a single atmospheric entry probe and flybys of the main satellites - would be able to address the set of science questions which are identified in the study at hand as the most essential for the understanding of Uranus and its system. The spacecraft, as currently designed, could be launched with an Ariane 5, in 2026, arriving at Uranus in 2044, and operating until 2050. The development of a radioactive power source is the main requirement for feasibility for this mission.

Restricted access processor - An application of computer security technology

NASA Technical Reports Server (NTRS)

Mcmahon, E. M.

1985-01-01

This paper describes a security guard device that is currently being developed by Computer Sciences Corporation (CSC). The methods used to provide assurance that the system meets its security requirements include the system architecture, a system security evaluation, and the application of formal and informal verification techniques. The combination of state-of-the-art technology and the incorporation of new verification procedures results in a demonstration of the feasibility of computer security technology for operational applications.

A call for self-reflection as professors engage the issues of science education reform: An ethnographic study

NASA Astrophysics Data System (ADS)

Licona, Miguel M.

Science becomes distorted and undemocratic when it is categorized into disciplines that, in turn, perpetuate borders creating conditions of inequality for the general population. Science education reform represents a starting point from which to approach notions of exclusion and inaccessibility. Students not intending to major in science often encounter environments as well as professors that serve to limit their potential and thereby exclude them from greater exposure and participation in the sciences. This qualitative study considers professional practices of professors who hold key positions for the success of science teaching and learning. Through classroom observation, in-depth interviewing and a survey questionnaire, this study sheds fight on the process of science education reform. Participants included six university professors who taught a reformed science course developed under the guidance of a National Science Foundation initiative known as the Collaborative for Excellence in Teacher Preparation. The purpose of this study is to understand the nature of faculty beliefs concerning teaching and learning science for students not intending to major in science, most of whom are elementary education majors. In this study, professors' espoused belief systems were elicited while their mental models that drive behavior were observed in the classroom setting. Incongruencies between theories in practice and theories in use were uncovered and explored. Major implications for who can and cannot learn science within the context of a system that currently serves to pre-select who will succeed are uncovered as a result of this study. The constant comparative method developed by Glaser and Strauss was used to analyze the words of each individual participant as she/he worked to consider the incongruencies in her/his theory and practice (as cited in Maykut & Morehouse, 1994). Self-reflection is identified as key in the process of praxis that will aid professors in their efforts to close the gap between theory and practice.

On Complete Control and Synchronization of Zhang Chaotic System with Uncertain Parameters using Adaptive Control Method

NASA Astrophysics Data System (ADS)

Tirandaz, Hamed

2018-03-01

Chaos control and synchronization of chaotic systems is seemingly a challenging problem and has got a lot of attention in recent years due to its numerous applications in science and industry. This paper concentrates on the control and synchronization problem of the three-dimensional (3D) Zhang chaotic system. At first, an adaptive control law and a parameter estimation law are achieved for controlling the behavior of the Zhang chaotic system. Then, non-identical synchronization of Zhang chaotic system is provided with considering the Lü chaotic system as the follower system. The synchronization problem and parameters identification are achieved by introducing an adaptive control law and a parameters estimation law. Stability analysis of the proposed method is proved by the Lyapanov stability theorem. In addition, the convergence of the estimated parameters to their truly unknown values are evaluated. Finally, some numerical simulations are carried out to illustrate and to validate the effectiveness of the suggested method.

Prioritizing recovery of urban lifelines in the aftermath of hazards: Transportation in post-Harvey Houston

NASA Astrophysics Data System (ADS)

Warner, M. E.; Bhatia, U.; Sela, L.; Wang, R.; Kodra, E.; Ganguly, A. R.

2017-12-01

A well-designed recovery strategy for lifeline infrastructure networks can lead to faster and more reliable restoration of essential services in the aftermath of natural catastrophes such as hurricanes or earthquakes. Urban and regional lifelines impact one another, while the recovery of urban lifelines in turn impacts regional infrastructural resilience, owing to the interdependence of lifelines across scales. Prior work by our team, often in collaboration, has led to the development of new recovery approaches based on network science and engineering, including centrality measures from network science, information theoretic metrics, and network optimization approaches. We have developed proof-of-concept demonstrations at both regional scales, such as for the Indian Railways Network and the US National Airspace System both subjected to multiple hazards, and to urban settings, such as the post-Hurricane recovery of combined power-subway system-of-systems in Boston and the New York City MTA after Hurricane Sandy. Here we make an attempt to understand how such methods may have been, or continue to be, applicable to the transportation network in Houston post-Harvey, and more broadly, how and to what extent lessons learned in urban and regional resilience may generalize across cases. We make an assessment of the state of the literature, process understanding, simulation models, data science methods, and best practices, necessary to address problems of this nature, with a particular focus on post-Harvey recovery of transportation services in Houston.

Stochastic simulation in systems biology

PubMed Central

Székely, Tamás; Burrage, Kevin

2014-01-01

Natural systems are, almost by definition, heterogeneous: this can be either a boon or an obstacle to be overcome, depending on the situation. Traditionally, when constructing mathematical models of these systems, heterogeneity has typically been ignored, despite its critical role. However, in recent years, stochastic computational methods have become commonplace in science. They are able to appropriately account for heterogeneity; indeed, they are based around the premise that systems inherently contain at least one source of heterogeneity (namely, intrinsic heterogeneity). In this mini-review, we give a brief introduction to theoretical modelling and simulation in systems biology and discuss the three different sources of heterogeneity in natural systems. Our main topic is an overview of stochastic simulation methods in systems biology. There are many different types of stochastic methods. We focus on one group that has become especially popular in systems biology, biochemistry, chemistry and physics. These discrete-state stochastic methods do not follow individuals over time; rather they track only total populations. They also assume that the volume of interest is spatially homogeneous. We give an overview of these methods, with a discussion of the advantages and disadvantages of each, and suggest when each is more appropriate to use. We also include references to software implementations of them, so that beginners can quickly start using stochastic methods for practical problems of interest. PMID:25505503

System performance testing of the DSN radio science system, Mark 3-78

NASA Technical Reports Server (NTRS)

Berman, A. L.; Mehta, J. S.

1978-01-01

System performance tests are required to evaluate system performance following initial system implementation and subsequent modification, and to validate system performance prior to actual operational usage. Non-real-time end-to-end Radio Science system performance tests are described that are based on the comparison of open-loop radio science data to equivalent closed-loop radio metric data, as well as an abbreviated Radio Science real-time system performance test that validates critical Radio Science System elements at the Deep Space Station prior to actual operational usage.

An analysis of K--5 teachers' beliefs regarding the uses of direct instruction, the discovery method, and the inquiry method in elementary science education

NASA Astrophysics Data System (ADS)

Kowalczyk, Donna Lee

The purpose of this study was to examine K--5 elementary teachers' reported beliefs about the use, function, and importance of Direct Instruction, the Discovery Method, and the Inquiry Method in the instruction of science in their classrooms. Eighty-two teachers completed questionnaires about their beliefs, opinions, uses, and ideas about each of the three instructional methods. Data were collected and analyzed using the Statistical Package of the Social Sciences (SPSS). Descriptive statistics and Chi-Square analyses indicated that the majority of teachers reported using all three methods to varying degrees in their classrooms. Guided Discovery was reported by the teachers as being the most frequently used method to teach science, while Pure Discovery was reportedly used the least frequently. The majority of teachers expressed the belief that a blend of all three instructional methods is the most effective strategy for teaching science at the elementary level. The teachers also reported a moderate level of confidence in teaching science. Students' ability levels, learning styles, and time/class schedule were identified as factors that most influence teachers' instructional choice. Student participation in hands-on activities, creative thinking ability, and developing an understanding of scientific concepts were reported as the learning behaviors most associated with student success in science. Data obtained from this study provide information about the nature and uses of Direct Instruction, the Discovery Method, and the Inquiry Method and teachers' perceptions and beliefs about each method's use in science education. Learning more about the science teaching and learning environment may help teachers, administrators, curriculum developers, and researchers gain greater insights about student learning, instructional effectiveness, and science curriculum development at the elementary level.

Using a Science/Technology/Society Approach to Prepare Reform-Oriented Science Teachers: The Case of a Secondary Science Methods Course

ERIC Educational Resources Information Center

Dass, Pradeep M.

2005-01-01

Reformed preparation of science teachers is indeed vital for the vision of science teaching reform to be accomplished. Typically, a critical component of a preservice science teacher preparation program is the science teaching methods course. The usual intent of this course is to help preservice science students develop an understanding of various…

Functional Interfaces Constructed by Controlled/Living Radical Polymerization for Analytical Chemistry.

PubMed

Wang, Huai-Song; Song, Min; Hang, Tai-Jun

2016-02-10

The high-value applications of functional polymers in analytical science generally require well-defined interfaces, including precisely synthesized molecular architectures and compositions. Controlled/living radical polymerization (CRP) has been developed as a versatile and powerful tool for the preparation of polymers with narrow molecular weight distributions and predetermined molecular weights. Among the CRP system, atom transfer radical polymerization (ATRP) and reversible addition-fragmentation chain transfer (RAFT) are well-used to develop new materials for analytical science, such as surface-modified core-shell particles, monoliths, MIP micro- or nanospheres, fluorescent nanoparticles, and multifunctional materials. In this review, we summarize the emerging functional interfaces constructed by RAFT and ATRP for applications in analytical science. Various polymers with precisely controlled architectures including homopolymers, block copolymers, molecular imprinted copolymers, and grafted copolymers were synthesized by CRP methods for molecular separation, retention, or sensing. We expect that the CRP methods will become the most popular technique for preparing functional polymers that can be broadly applied in analytical chemistry.

Estimating False Positive Contamination in Crater Annotations from Citizen Science Data

NASA Astrophysics Data System (ADS)

Tar, P. D.; Bugiolacchi, R.; Thacker, N. A.; Gilmour, J. D.

2017-01-01

Web-based citizen science often involves the classification of image features by large numbers of minimally trained volunteers, such as the identification of lunar impact craters under the Moon Zoo project. Whilst such approaches facilitate the analysis of large image data sets, the inexperience of users and ambiguity in image content can lead to contamination from false positive identifications. We give an approach, using Linear Poisson Models and image template matching, that can quantify levels of false positive contamination in citizen science Moon Zoo crater annotations. Linear Poisson Models are a form of machine learning which supports predictive error modelling and goodness-of-fits, unlike most alternative machine learning methods. The proposed supervised learning system can reduce the variability in crater counts whilst providing predictive error assessments of estimated quantities of remaining true verses false annotations. In an area of research influenced by human subjectivity, the proposed method provides a level of objectivity through the utilisation of image evidence, guided by candidate crater identifications.

New science, old convictions - Texas Senate Bill 344: identifying further necessary reform in forensic science.

PubMed

Soni, Naina

2015-02-01

In June 2013, Texas Senate Bill 344 (SB 344) was signed into law after strong Innocence Project support. SB 344 has since transformed the Texan judicial landscape. Known as the 'Junk Science Writ', SB 344 enables the court to grant habeas corpus relief based on scientific evidence that '(1) was not available to be offered by a convicted person at the convicted person's trial; or (2) contradicts scientific evidence relied on by the state at trial'. Inmates, such as the 'San Antonio Four', whose convictions were based upon what is now considered 'faulty' medical and forensic testimony, have been released under SB 344. Yet, science, as a field dependent on innovation, is inherently prone to debunking the scientific and forensic methods the law has relied upon to convict individuals. This commentary identifies policy behind SB 344, how SB 344 may influence the perception of science in the courtroom, and how 'junk science' is defined and/or limited. Furthermore, this commentary concludes that to achieve justice in the legal system through habeas relief based on 'junk science', it is necessary to revitalize and standardize forensic science.

A survey of specific individualized instruction strategies in elementary science methods courses in Tennessee teacher education institutions

NASA Astrophysics Data System (ADS)

Hazari, Alan A.

The purpose of the study was to determine the status of individualized science instruction in Tennessee teacher education institutions. Specifically, the study sought to investigate the extent of teaching about and/or use of 31 strategies for individualizing instruction in elementary science teaching methods courses. The individualized instruction frameworks, with strategies for individualizing instruction, were developed by Rowell, et al. in the College of Education at the University of Tennessee, Knoxville. A review of the literature on the preparation of preservice elementary science teachers for individualized instruction in K-8 classrooms revealed very limited research. This investigation sought to identify how the elementary science teacher educators prepared their preservice elementary science teachers to (1) learn about the children they will teach, (2) determine differences among learners, (3) plan for individualized science instruction in the elementary school classroom, and (4) help attend to individual student differences. The researcher prepared and used a 31-item survey to poll elementary science teacher educators in Tennessee. The participants included K-8 educators from 40 state-approved teacher education institutions. The high teacher education institution response rate (72.5%) brought input from institutions of varying sizes, operated privately or publicly across the state of Tennessee. In general, Tennessee elementary science teacher educators reported that they tended to teach about and/or use a fair number of the 31 individualized instruction strategies that involve both learning about K-8 students and their differences. On the other hand, many of these educators provided preservice teachers with quite a bit of the strategies that lead to planning for individualized science instruction and to attending to individual student differences. The two strategies that were the most taught about and/or used in elementary science methods by Tennessee educators were planning for and maintaining an interactive classroom and implementing cooperative learning groups. The two strategies with the lowest rating were using a computer-tracking system to keep student profiles and using commercial tests to determine student placement. Almost 42% of the strategies in the survey were rated high to very high. This indicated that Tennessee educators do regularly include many of these 31 strategies in their elementary science methods courses. Examples include hands-on approach, cooperative learning, thematic and project teaching, learning centers, and the use of the Tennessee Instructional Model. The study also showed that Tennessee science teacher educators in church-related institutions appeared to utilize more of the 31 strategies for individualizing instruction in K-8 classrooms than do the educators in non-church-related institutions. Tennessee K-8 teachers could be better prepared if exposed to as many different and effective pedagogical tools and practices as possible during their education and preparation. A strong science program rich in content and a variety of instructional strategies (including individualized instruction) is needed to help maximize the science learning opportunities for all Tennessee students.

Executive Support Systems: An Innovation Decision Perspective

DTIC Science & Technology

1990-01-01

of the requirements for the degree of Master of Science Department of Management Science and Information Systems 1990 0 4 28 071 This thesis for the...Master of Science degree by Vern Edwin Hasenstein has been approved for the Department of Management Science and -formation Systems by James C...Dist Speolal Hasenstein, Vern Edwin (M.S., Management Science and Information Systems) Executive Support Systems: An Innovation-decision Perspective

Enhancing healthcare process design with human factors engineering and reliability science, part 2: applying the knowledge to clinical documentation systems.

PubMed

Boston-Fleischhauer, Carol

2008-02-01

The demand to redesign healthcare processes that achieve efficient, effective, and safe results is never-ending. Part 1 of this 2-part series introduced human factors engineering and reliability science as important knowledge to enhance existing operational and clinical process design methods in healthcare organizations. In part 2, the author applies this knowledge to one of the most common operational processes in healthcare: clinical documentation. Specific implementation strategies and anticipated results are discussed, along with organizational challenges and recommended executive responses.

Analysis of XMM-Newton Data from Extended Sources and the Diffuse X-Ray Background

NASA Technical Reports Server (NTRS)

Snowden, Steven

2011-01-01

Reduction of X-ray data from extended objects and the diffuse background is a complicated process that requires attention to the details of the instrumental response as well as an understanding of the multiple background components. We present methods and software that we have developed to reduce data from XMM-Newton EPIC imaging observations for both the MOS and PN instruments. The software has now been included in the Science Analysis System (SAS) package available through the XMM-Newton Science Operations Center (SOC).

Earthworks: Educating Teachers in Earth System Sciences

NASA Technical Reports Server (NTRS)

Spetzler, H.; Weaver, A.; Buhr, S.

2000-01-01

Earthworks is a national community of teachers and scientists. Initiated in 1998 with funding from NASA, our summer workshops in the Rocky Mountains each year provide unique opportunities for teachers to design and conduct field research projects, working closely with scientists. Teachers then develop plans for classroom implementation during the school year, sharing their ideas and experiences with other community members through e-mail and a listserv. Scientists, from graduate students to expert senior researchers, share their knowledge of field methods in environmental science, and learn how to better communicate and teach about their research.

The Use of Analytic Decision Game (ADG) Methods for Test and Evaluation of Hard and Soft Data Fusion Systems and Education of a New Generation of Data Fusion Analysts

DTIC Science & Technology

2012-10-01

education of a new generation of data fusion analysts Jacob L. Graham College of Information Sciences & Technology Pennsylvania State University...University Park, PA, U.S.A. jgraham@ist.psu.edu David L. Hall College of Information Sciences & Technology Pennsylvania State University...ELEMENT NUMBER 6. AUTHOR(S) 5d. PROJECT NUMBER 5e. TASK NUMBER 5f. WORK UNIT NUMBER 7. PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES) College

Extreme Material Physical Properties and Measurements above 100 tesla

NASA Astrophysics Data System (ADS)

Mielke, Charles

2011-03-01

The National High Magnetic Field Laboratory (NHMFL) Pulsed Field Facility (PFF) at Los Alamos National Laboratory (LANL) offers extreme environments of ultra high magnetic fields above 100 tesla by use of the Single Turn method as well as fields approaching 100 tesla with more complex methods. The challenge of metrology in the extreme magnetic field generating devices is complicated by the millions of amperes of current and tens of thousands of volts that are required to deliver the pulsed power needed for field generation. Methods of detecting physical properties of materials are essential parts of the science that seeks to understand and eventually control the fundamental functionality of materials in extreme environments. De-coupling the signal of the sample from the electro-magnetic interference associated with the magnet system is required to make these state-of-the-art magnetic fields useful to scientists studying materials in high magnetic fields. The cutting edge methods that are being used as well as methods in development will be presented with recent results in Graphene and High-Tc superconductors along with the methods and challenges. National Science Foundation DMR-Award 0654118.

Undergraduate Research-Methods Training in Political Science: A Comparative Perspective

ERIC Educational Resources Information Center

Parker, Jonathan

2010-01-01

Unlike other disciplines in the social sciences, there has been relatively little attention paid to the structure of the undergraduate political science curriculum. This article reports the results of a representative survey of 200 political science programs in the United States, examining requirements for quantitative methods, research methods,…

GeoBrain for Facilitating Earth Science Education in Higher-Education Institutes--Experience and Lessons-learned

NASA Astrophysics Data System (ADS)

Deng, M.; di, L.

2007-12-01

Data integration and analysis are the foundation for the scientific investigation in Earth science. In the past several decades, huge amounts of Earth science data have been collected mainly through remote sensing. Those data have become the treasure for Earth science research. Training students how to discover and use the huge volume of Earth science data in research become one of the most important trainings for making a student a qualified scientist. Being developed by a NASA funded project, the GeoBrain system has adopted and implemented the latest Web services and knowledge management technologies for providing innovative methods in publishing, accessing, visualizing, and analyzing geospatial data and in building/sharing geoscience knowledge. It provides a data-rich online learning and research environment enabled by wealthy data and information available at NASA Earth Observing System (EOS) Data and Information System (EOSDIS). Students, faculty members, and researchers from institutes worldwide can easily access, analyze, and model with the huge amount of NASA EOS data just like they possess such vast resources locally at their desktops. Although still in development, the GeoBrain system has been operational since 2005. A number of education materials have been developed for facilitating the use of GeoBrain as a powerful education tool for Earth science education at both undergraduate and graduate levels. Thousands of online higher-education users worldwide have used GeoBrain services. A number of faculty members in multiple universities have been funded as GeoBrain education partners to explore the use of GeoBrain in the classroom teaching and student research. By summarizing and analyzing the feedbacks from the online users and the education partners, this presentation presents the user experiences on using GeoBrain in Earth science teaching and research. The feedbacks on classroom use of GeoBrain have demonstrated that GeoBrain is very useful for facilitating the transition of both undergraduate and graduate students from learners to investigators. They feedbacks have also shown the system can improve teaching effectiveness, refine student's learning habit, and inspire students" interests in pursuing Earth sciences as their career. The interaction with the education users of GeoBrain provides much needed guidance and lessens-learned for future development and promotion of GeoBrain.

In-orbit performance of the LISA Pathfinder drag-free and attitude control system

NASA Astrophysics Data System (ADS)

Schleicher, A.; Ziegler, T.; Schubert, R.; Brandt, N.; Bergner, P.; Johann, U.; Fichter, W.; Grzymisch, J.

2018-04-01

LISA Pathfinder is a technology demonstrator mission that was funded by the European Space Agency and that was launched on December 3, 2015. LISA Pathfinder has been conducting experiments to demonstrate key technologies for the gravitational wave observatory LISA in its operational orbit at the L1 Lagrange point of the Earth-Sun system until final switch off on July 18, 2017. These key technologies include the inertial sensors, the optical metrology system, a set of µ-propulsion cold gas thrusters and in particular the high performance drag-free and attitude control system (DFACS) that controls the spacecraft in 15 degrees of freedom during its science phase. The main goal of the DFACS is to shield the two test masses inside the inertial sensors from all external disturbances to achieve a residual differential acceleration between the two test masses of less than 3 × 10-14 m/s2/√Hz over the frequency bandwidth of 1-30 mHz. This paper focuses on two important aspects of the DFACS that has been in use on LISA Pathfinder: the DFACS Accelerometer mode and the main DFACS Science mode. The Accelerometer mode is used to capture the test masses after release into free flight from the mechanical grabbing mechanism. The main DFACS Science Mode is used for the actual drag-free science operation. The DFACS control system has very strong interfaces with the LISA Technology Package payload which is a key aspect to master the design, development, and analysis of the DFACS. Linear as well as non-linear control methods are applied. The paper provides pre-flight predictions for the performance of both control modes and compares these predictions to the performance that is currently achieved in-orbit. Some results are also discussed for the mode transitions up to science mode, but the focus of the paper is on the Accelerometer mode performance and on the performance of the Science mode in steady state. Based on the achieved results, some lessons learnt are formulated to extend the results to the drag-free control system to be designed for future space-based gravity wave observatories like LISA.

Preface: High-rate GNSS: Theory, methods and engineering/geophysical applications

NASA Astrophysics Data System (ADS)

Xu, Peiliang

2017-06-01

Global Navigation Satellite Systems (GNSS) have revolutionized the science and engineering of positioning, timing and navigation and have become an indispensable means to rapidly obtain precise positioning-related information, profoundly affecting our daily life and infrastructure. With GNSS, the position of an object, either stationary or moving, can be determined anywhere, anytime and under any weather condition. In addition to providing a positioning and timing information service, GNSS are now also used to reconstruct physical properties of media through which GNSS signals travel. The utilization of additional GNSS systems such as the European Galileo and the Chinese Beidou (both expected to complete their final global constellations in 2020) will contribute to positioning/navigation science and engineering, provide more industrial opportunities and surely open more challenges.

Development of interest in science and interest in teaching elementary science: Influence of informal, school, and inquiry methods course experiences

NASA Astrophysics Data System (ADS)

Bulunuz, Mizrap

Inquiry-based science instruction is a major goal of science education reform. However, there is little research examining how preservice elementary teachers might be motivated to teach through inquiry. This quantitative study was designed to examine the role of background experiences and an inquiry science methods course on interest in science and interest in teaching science. The course included many activities and assignments at varying levels of inquiry, designed to teach content and inquiry methods and to model effective teaching. The study involved analyses of surveys completed by students in the course on their experiences with science before, during, and at the end of the course. The following questions guided the design of this study and analysis of the data: (1) What science background experiences (school, home, and informal education) do participants have and how do those experiences affect initial interest in science? (2) Among the hands-on activities in the methods course, is there a relationship between level of inquiry of the activity and the motivational quality (interesting, fun, and learning) of the activity? (3) Does the course affect participants' interest and attitude toward science? (4) What aspects of the course contribute to participants' interest in teaching science and choice to teach science? Descriptive and inferential analysis of a background survey revealed that participants with high and low initial interest in science differed significantly on remembering about elementary school science and involvement in science related activities in childhood/youth. Analysis of daily ratings of each hands-on activity on motivational qualities (fun, interest, and learning) indicated that there were significant differences in motivational quality of the activities by level of inquiry with higher levels of inquiry rated more positively. Pre/post surveys indicated that participants increased in interest in science and a number of variables reflecting more positive feelings about science and science teaching. Regression analysis found that the best predictors for interest in teaching science were experiencing fun activities in the science methods course followed by the interest participants brought to the course. This study highlights the motivational aspects of the methods course in developing interest in science and interest in teaching science.

Interactive system for geomagnetic data analysis

NASA Astrophysics Data System (ADS)

Solovev, Igor

2017-10-01

The paper suggests the methods for analyzing geomagnetic field variations, which are implemented in "Aurora" software system for complex analysis of geophysical parameters. The software system allows one to perform a detailed magnetic data analysis. The methods allow one to estimate the intensity of geomagnetic perturbations and to allocate increased geomagnetic activity periods. The software system is publicly available (http://aurorasa.ikir.ru:8580, http://www.ikir.ru:8280/lsaserver/MagneticPage.jsp). This research was supported by the Russian Science Foundation (Project No. 14-11-00194).

A general scientific information system to support the study of climate-related data

NASA Technical Reports Server (NTRS)

Treinish, L. A.

1984-01-01

The development and use of NASA's Pilot Climate Data System (PCDS) are discussed. The PCDS is used as a focal point for managing and providing access to a large collection of actively used data for the Earth, ocean and atmospheric sciences. The PCDS provides uniform data catalogs, inventories, and access methods for selected NASA and non-NASA data sets. Scientific users can preview the data sets using graphical and statistical methods. The system has evolved from its original purpose as a climate data base management system in response to a national climate program, into an extensive package of capabilities to support many types of data sets from both spaceborne and surface based measurements with flexible data selection and analysis functions.

Qualitative science policy.

PubMed

Mitcham, Carl

2007-12-01

Qualitative research struggles against a tide of quantitative methods. To assist in this struggle, it is useful to consider the historical and philosophical origins of quantitative methods as well as criticisms that have been raised against them. Although these criticisms have often been restricted to discussions in the philosophy of science, they have become increasingly prominent in debates regarding science policy. This article thus reviews current science policy debates concerning scientific autonomy and the linear model of science-society relationships. Then, having considered the multiple meanings of quality, it argues for a science policy reassessment of quantitative research, for deeper engagements between science policy and the social sciences, and finally, for a more explicit alliance between science policy and qualitative methods.

The pursuit of understanding: A study of exemplary high school students' conceptions of knowledge validation in science and history

NASA Astrophysics Data System (ADS)

Boix Mansilla, Veronica Maria

The study presented examined 16 award-winning high school students' beliefs about the criteria by which scientific theories and historical narratives are deemed trustworthy. It sought to (a) describe such beliefs as students reasoned within each discipline; (b) examine the degree to which such beliefs were organized as coherent systems of thought; and (c) explore the relationship between students' beliefs and their prior disciplinary research experience. Students were multiple-year award-winners at the Massachusetts Science Fair and the National History Day---two pre-collegiate State-level competitions. Two consecutive semi-structured interviews invited students to assess and enhance the trustworthiness of competing accounts of genetic inheritance and the Holocaust in science and history respectively. A combined qualitative and quantitative data analysis yielded the following results: (a) Students valued three standards of acceptability that were common across disciplines: e.g. empirical strength, explanatory power and formal and presentational strength. However, when reasoning within each discipline they tended to define each standard in disciplinary-specific ways. Students also valued standards of acceptability that were not shared across disciplines: i.e., external validity in science and human understanding in history. (b) In science, three distinct epistemological orientations were identified---i.e., "faith in method," "trusting the scientific community" and "working against error." In history students held two distinct epistemologies---i.e., "reproducing the past" and "organizing the past". Students' epistemological orientations tended to operate as collections of mutually supporting ideas about what renders a theory or a narrative acceptable. (c) Contrary to the standard position to date in the literature on epistemological beliefs, results revealed that students' research training in a particular discipline (e.g., science or history) was strongly related to the ways in which they interpreted problems, methods, and satisfactory solutions in each domain. Students trained in science favored a sophisticated "working against error" epistemology of science and a naive "reproducing the past" epistemology of history. Students trained in history revealed a sophisticated "organizing the past" epistemology in that discipline and a naive "faith in methods" in one in science. Students trained in both domains revealed sophisticated epistemologies in both disciplines.

A phenomenological study of assessment methods in the inquiry-based science classroom: How do educators decide?

NASA Astrophysics Data System (ADS)

Tash, Gina G.

The purpose of this phenomenological study was to describe the experiences of science educators as they select and develop assessment methods for inquiry learning. Balancing preparations for standardized tests and authentic inquiry assessment experiences can be challenging for science educators. The review of literature revealed that current research focused on instructional methods and assessment, students' assessment experiences, and teachers' instructional methods experiences. There remains a gap in current literature regarding the experiences of science educators as they select and develop assessment methods for inquiry learning. This study filled the gap by providing a description of the experiences of science educators as they select and develop assessments for inquiry learning. The participants in this study were 16 fifth through eighth grade science teachers who participate in the Alabama Math, Science, and Technology Initiative (AMSTI) in northwest Alabama. A phenomenological research method was chosen in order to describe the experiences of AMSTI science teachers as they select and develop assessments for inquiry learning. Data were collected through interviews and focus group discussions. The data analysis used a modified Stevick-Colaizzi-Keen framework. The results showed AMSTI science teachers use a variety of assessment resources and methods, feel pressures to meet Adequate Yearly Progress (AYP), and implement varying degrees of change in their assessment process due to No Child Left Behind (NCLB). Contributing a positive social change, this study's findings supplied science teachers with descriptions of successful inquiry classrooms and creative assessments that correspond to inquiry-based learning methods.

Human Blood Typing: A Forensic Science Approach. Part I: Background.

ERIC Educational Resources Information Center

Kobilinsky, Lawrence; Sheehan, Francis X.

1988-01-01

In this article, part I of a series, the forensic methods used in "typing" human blood, which as physical evidence is often found in the dried state, are outlined. Background information about individualization, antibody typing, fresh blood, dried blood, and additional systems is provided. (CW)

Cost-Benefit Analysis in Nontraditional Education.

ERIC Educational Resources Information Center

Parker, Charles A.

1975-01-01

The methods of management science have been increasingly helpful to colleges and universities in evaluating alternatives, both instructional and administrative, and in determining the most efficient allocation of their resources. This article discusses ways in which systems techniques can be used to support the humanistic efforts so highly valued…

Cases on STEAM Education in Practice

ERIC Educational Resources Information Center

Bazler, Judith, Ed.; Van Sickle, Meta, Ed.

2017-01-01

Curriculums for STEM education programs have been successfully implemented into numerous school systems for many years. Recently, the integration of arts education into such programs has proven to be significantly beneficial to students, resulting in a new method of teaching including science, technology, engineering, art, and mathematics.…

IMPROVED O3, SO2 AND HNO3 VEGETATION-ATMOSPHERE EXCHANGE MODELING FOR NETWORK APPLICATIONS

EPA Science Inventory

A long term goal of multimedia environmental management is to achieve sustainable ecological resources. Progress towards this goal rests on a foundation of science-based methods and data integrated into predictive multimedia, multi-stressor open architecture modeling systems. The...

Automatically Grading Customer Confidence in a Formal Specification.

ERIC Educational Resources Information Center

Shukur, Zarina; Burke, Edmund; Foxley, Eric

1999-01-01

Describes an automatic grading system for a formal methods computer science course that is able to evaluate a formal specification written in the Z language. Quality is measured by considering first, specification correctness (syntax, semantics, and satisfaction of customer requirements), and second, specification maintainability (comparison of…

Mechanism-based Pharmacovigilance over the Life Sciences Linked Open Data Cloud.

PubMed

Kamdar, Maulik R; Musen, Mark A

2017-01-01

Adverse drug reactions (ADR) result in significant morbidity and mortality in patients, and a substantial proportion of these ADRs are caused by drug-drug interactions (DDIs). Pharmacovigilance methods are used to detect unanticipated DDIs and ADRs by mining Spontaneous Reporting Systems, such as the US FDA Adverse Event Reporting System (FAERS). However, these methods do not provide mechanistic explanations for the discovered drug-ADR associations in a systematic manner. In this paper, we present a systems pharmacology-based approach to perform mechanism-based pharmacovigilance. We integrate data and knowledge from four different sources using Semantic Web Technologies and Linked Data principles to generate a systems network. We present a network-based Apriori algorithm for association mining in FAERS reports. We evaluate our method against existing pharmacovigilance methods for three different validation sets. Our method has AUROC statistics of 0.7-0.8, similar to current methods, and event-specific thresholds generate AUROC statistics greater than 0.75 for certain ADRs. Finally, we discuss the benefits of using Semantic Web technologies to attain the objectives for mechanism-based pharmacovigilance.

Science Awareness and Science Literacy through the Basic Physics Course: Physics with a bit of Metaphysics?

NASA Astrophysics Data System (ADS)

Rusli, Aloysius

2016-08-01

Until the 1980s, it is well known and practiced in Indonesian Basic Physics courses, to present physics by its effective technicalities: The ideally elastic spring, the pulley and moving blocks, the thermodynamics of ideal engine models, theoretical electrostatics and electrodynamics with model capacitors and inductors, wave behavior and its various superpositions, and hopefully closed with a modern physics description. A different approach was then also experimented with, using the Hobson and Moore texts, stressing the alternative aim of fostering awareness, not just mastery, of science and the scientific method. This is hypothesized to be more in line with the changed attitude of the so-called Millenials cohort who are less attentive if not interested, and are more used to multi-tasking which suits their shorter span of attention. The upside is increased awareness of science and the scientific method. The downside is that they are getting less experience of the scientific method which intensely bases itself on critical observation, analytic thinking to set up conclusions or hypotheses, and checking consistency of the hypotheses with measured data. Another aspect is recognition that the human person encompasses both the reasoning capacity and the mental- spiritual-cultural capacity. This is considered essential, as the world grows even smaller due to increased communication capacity, causing strong interactions, nonlinear effects, and showing that value systems become more challenging and challenged due to physics / science and its cosmology, which is successfully based on the scientific method. So students should be made aware of the common basis of these two capacities: the assumptions, the reasoning capacity and the consistency assumption. This shows that the limits of science are their set of basic quantifiable assumptions, and the limits of the mental-spiritual-cultural aspects of life are their set of basic metaphysical (non-quantifiable) assumptions. The bridging between these two human aspects of life, can lead to a “why” of science, and a “meaning” of life. A progress report on these efforts is presented, essentially being of the results indicated by an extended format of the usual weekly reporting used previously in Basic Physics lectures.

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

Dang, Liem X.; Schenter, Gregory K.

To enhance our understanding of the solvent exchange mechanism in liquid methanol, we report a systematic study of this process using molecular dynamics simulations. We use transition state theory, the Impey-Madden-McDonald method, the reactive flux method, and Grote-Hynes theory to compute the rate constants for this process. Solvent coupling was found to dominate, resulting in a significantly small transmission coefficient. We predict a positive activation volume for the methanol exchange process. The essential features of the dynamics of the system as well as the pressure dependence are recovered from a Generalized Langevin Equation description of the dynamics. We find thatmore » the dynamics and response to anharmonicity can be decomposed into two time regimes, one corresponding to short time response (< 0.1 ps) and long time response (> 5 ps). An effective characterization of the process results from launching dynamics from the planar hypersurface corresponding to Grote-Hynes theory. This results in improved numerical convergence of correlation functions. This work was supported by the U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences, Division of Chemical Sciences, Geosciences, and Biosciences. The calculations were carried out using computer resources provided by the Office of Basic Energy Sciences.« less

Growing a garden without water: Graduate teaching assistants in introductory science laboratories at a doctoral/research university

NASA Astrophysics Data System (ADS)

Luft, Julie A.; Kurdziel, Josepha P.; Roehrig, Gillian H.; Turner, Jessica

2004-03-01

Graduate teaching assistants (GTAs) in the sciences are a common feature of U.S. universities that have a prominent mission of research. During the past 2 decades, increased attention has been paid to the professional development of GTAs as instructors. As a result, universities have created training programs to assist GTAs in selecting instructional methods, curricular formats, and assessments when they serve as laboratory, lecture, or discussion group instructors. Unfortunately, few studies explore the educational and instructional environment of GTAs in these reformed settings. This study was conducted to address this specific need. As a constructivist inquiry, qualitative methods were used to collect and analyze the data to elucidate the educational and instructional environment of science GTAs at a doctoral/research university in which various training programs existed. We found that GTAs worked autonomously, that traditional practices and curricula existed in laboratories, and that instructors frequently held limited views of undergraduates' abilities and motivation. Findings in this initial study about GTAs suggest that developers of GTA training programs draw on the literature regarding science teacher education, and that reward systems be instituted that recognize faculty and staff for their participation in GTA training programs.

Pedotransfer Functions in Earth System Science: Challenges and Perspectives: PTFs in Earth system science perspective

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

Van Looy, Kris; Bouma, Johan; Herbst, Michael

Soil, through its various functions, plays a vital role in the Earth's ecosystems and provides multiple ecosystem services to humanity. Pedotransfer functions (PTFs) are simple to complex knowledge rules that relate available soil information to soil properties and variables that are needed to parameterize soil processes. Here in this article, we review the existing PTFs and document the new generation of PTFs developed in the different disciplines of Earth system science. To meet the methodological challenges for a successful application in Earth system modeling, we emphasize that PTF development has to go hand in hand with suitable extrapolation and upscalingmore » techniques such that the PTFs correctly represent the spatial heterogeneity of soils. PTFs should encompass the variability of the estimated soil property or process, in such a way that the estimation of parameters allows for validation and can also confidently provide for extrapolation and upscaling purposes capturing the spatial variation in soils. Most actively pursued recent developments are related to parameterizations of solute transport, heat exchange, soil respiration, and organic carbon content, root density, and vegetation water uptake. Further challenges are to be addressed in parameterization of soil erosivity and land use change impacts at multiple scales. We argue that a comprehensive set of PTFs can be applied throughout a wide range of disciplines of Earth system science, with emphasis on land surface models. Novel sensing techniques provide a true breakthrough for this, yet further improvements are necessary for methods to deal with uncertainty and to validate applications at global scale.« less

Pedotransfer Functions in Earth System Science: Challenges and Perspectives: PTFs in Earth system science perspective

DOE PAGES

Van Looy, Kris; Bouma, Johan; Herbst, Michael; ...

2017-12-28

Soil, through its various functions, plays a vital role in the Earth's ecosystems and provides multiple ecosystem services to humanity. Pedotransfer functions (PTFs) are simple to complex knowledge rules that relate available soil information to soil properties and variables that are needed to parameterize soil processes. Here in this article, we review the existing PTFs and document the new generation of PTFs developed in the different disciplines of Earth system science. To meet the methodological challenges for a successful application in Earth system modeling, we emphasize that PTF development has to go hand in hand with suitable extrapolation and upscalingmore » techniques such that the PTFs correctly represent the spatial heterogeneity of soils. PTFs should encompass the variability of the estimated soil property or process, in such a way that the estimation of parameters allows for validation and can also confidently provide for extrapolation and upscaling purposes capturing the spatial variation in soils. Most actively pursued recent developments are related to parameterizations of solute transport, heat exchange, soil respiration, and organic carbon content, root density, and vegetation water uptake. Further challenges are to be addressed in parameterization of soil erosivity and land use change impacts at multiple scales. We argue that a comprehensive set of PTFs can be applied throughout a wide range of disciplines of Earth system science, with emphasis on land surface models. Novel sensing techniques provide a true breakthrough for this, yet further improvements are necessary for methods to deal with uncertainty and to validate applications at global scale.« less

A complex systems science perspective for whole systems of complementary and alternative medicine research.

PubMed

Koithan, Mary; Bell, Iris R; Niemeyer, Kathryn; Pincus, David

2012-01-01

Whole systems complementary and alternative medicine (WS-CAM) approaches share a basic worldview that embraces interconnectedness; emergent, non-linear outcomes to treatment that include both local and global changes in the human condition; a contextual view of human beings that are inseparable from and responsive to their environments; and interventions that are complex, synergistic, and interdependent. These fundamental beliefs and principles run counter to the assumptions of reductionism and conventional biomedical research methods that presuppose unidimensional simple causes and thus dismantle and individually test various interventions that comprise only single aspects of the WSCAM system. This paper will demonstrate the superior fit and practical advantages of using complex adaptive systems (CAS) and related modeling approaches to develop the scientific basis for WS-CAM. Furthermore, the details of these CAS models will be used to provide working hypotheses to explain clinical phenomena such as (a) persistence of changes for weeks to months between treatments and/or after cessation of treatment, (b) nonlocal and whole systems changes resulting from therapy, (c) Hering's law, and (d) healing crises. Finally, complex systems science will be used to offer an alternative perspective on cause, beyond the simple reductionism of mainstream mechanistic ontology and more parsimonious than the historical vitalism of WS-CAM. Rather, complex systems science provides a scientifically rigorous, yet essentially holistic ontological perspective with which to conceptualize and empirically explore the development of disease and illness experiences, as well as experiences of healing and wellness. Copyright © 2012 S. Karger AG, Basel.

BioMICADAS: Compact next generation AMS system for pharmaceutical science

NASA Astrophysics Data System (ADS)

Schulze-König, Tim; Dueker, Stephen R.; Giacomo, Jason; Suter, Martin; Vogel, John S.; Synal, Hans-Arno

2010-04-01

The next generation Accelerator Mass Spectrometer system specifically designed to address the needs of the growing pharmaceutical science market has passed validation testing. The system dubbed BioMICADAS is based on a previously developed compact carbon dating instrument, the MICADAS. Like its predecessor, it has an overall footprint of only 2.5 × 3 m 2 and uses a 200 kV high voltage platform for tandem based ion acceleration. The ion source can accommodate samples as graphite or gaseous CO 2. It is equipped with two independently operating vacuum locks, allowing continuous measurement sequence and providing a capacity of ˜20,000 samples per annum. A barcoded cathode tracking system allows data capture into Laboratory Information Management System (LIMS) for Good Laboratory Practices (GLP) regulated work. It can be housed in research laboratories alongside other complementary bioanalytical equipment and operated by general laboratory staff as the system is designed to be robust and user-friendly. The system has undergone rigorous validation over the range from 0.1 to 100 Modern Carbon, including accuracy, linearity, robustness, and precision experiments over the course of 7 months. It has been shipped and installed at the site of our collaborative partner, Vitalea Science in Davis, California. The installation process took ˜2 weeks from boxes to beam. The feasibility of the system to determine the absolute specific activity of biogenic samples was also shown by using the method of isotopic dilution.

Argonne Leadership Computing Facility 2011 annual report : Shaping future supercomputing.

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

Papka, M.; Messina, P.; Coffey, R.

The ALCF's Early Science Program aims to prepare key applications for the architecture and scale of Mira and to solidify libraries and infrastructure that will pave the way for other future production applications. Two billion core-hours have been allocated to 16 Early Science projects on Mira. The projects, in addition to promising delivery of exciting new science, are all based on state-of-the-art, petascale, parallel applications. The project teams, in collaboration with ALCF staff and IBM, have undertaken intensive efforts to adapt their software to take advantage of Mira's Blue Gene/Q architecture, which, in a number of ways, is a precursormore » to future high-performance-computing architecture. The Argonne Leadership Computing Facility (ALCF) enables transformative science that solves some of the most difficult challenges in biology, chemistry, energy, climate, materials, physics, and other scientific realms. Users partnering with ALCF staff have reached research milestones previously unattainable, due to the ALCF's world-class supercomputing resources and expertise in computation science. In 2011, the ALCF's commitment to providing outstanding science and leadership-class resources was honored with several prestigious awards. Research on multiscale brain blood flow simulations was named a Gordon Bell Prize finalist. Intrepid, the ALCF's BG/P system, ranked No. 1 on the Graph 500 list for the second consecutive year. The next-generation BG/Q prototype again topped the Green500 list. Skilled experts at the ALCF enable researchers to conduct breakthrough science on the Blue Gene system in key ways. The Catalyst Team matches project PIs with experienced computational scientists to maximize and accelerate research in their specific scientific domains. The Performance Engineering Team facilitates the effective use of applications on the Blue Gene system by assessing and improving the algorithms used by applications and the techniques used to implement those algorithms. The Data Analytics and Visualization Team lends expertise in tools and methods for high-performance, post-processing of large datasets, interactive data exploration, batch visualization, and production visualization. The Operations Team ensures that system hardware and software work reliably and optimally; system tools are matched to the unique system architectures and scale of ALCF resources; the entire system software stack works smoothly together; and I/O performance issues, bug fixes, and requests for system software are addressed. The User Services and Outreach Team offers frontline services and support to existing and potential ALCF users. The team also provides marketing and outreach to users, DOE, and the broader community.« less

Learning Science, Learning about Science, Doing Science: Different Goals Demand Different Learning Methods

ERIC Educational Resources Information Center

Hodson, Derek

2014-01-01

This opinion piece paper urges teachers and teacher educators to draw careful distinctions among four basic learning goals: learning science, learning about science, doing science and learning to address socio-scientific issues. In elaboration, the author urges that careful attention is paid to the selection of teaching/learning methods that…

A Mixed Methods Content Analysis of the Research Literature in Science Education

NASA Astrophysics Data System (ADS)

Schram, Asta B.

2014-10-01

In recent years, more and more researchers in science education have been turning to the practice of combining qualitative and quantitative methods in the same study. This approach of using mixed methods creates possibilities to study the various issues that science educators encounter in more depth. In this content analysis, I evaluated 18 studies from science education journals as they relate to the definition, design, and overall practice of using mixed methods. I scrutinized a purposeful sample, derived from 3 journals (the International Journal of Science Education, the Journal of Research in Science Teaching, and the Research in Science Education) in terms of the type of data collected, timing, priority, design, the mixing of the 2 data strands in the studies, and the justifications authors provide for using mixed methods. Furthermore, the articles were evaluated in terms of how well they met contemporary definitions for mixed methods research. The studies varied considerably in the use and understanding of mixed methods. A systematic evaluation of the employment of mixed methods methodology was used to identify the studies that best reflected contemporary definitions. A comparison to earlier content analyses of mixed methods research indicates that researchers' knowledge of mixed methods methodology may be increasing. The use of this strategy in science education research calls, however, for an improved methodology, especially concerning the practice of mixing. Suggestions are given on how to best use this approach.

A Landscape Indicator Approach to the Identification and Articulation of the Ecological Consequences of Land Cover Change in the Chesapeake Bay Watershed, 1970-2000

USGS Publications Warehouse

Slonecker, Terrence

2008-01-01

The advancement of geographic science in the area of land surface status and trends and land cover change is at the core of the current geographic scientific research of the U.S. Geological Survey (USGS) (McMahon and others, 2005). Perhaps the least developed or articulated aspects of USGS land change science have been the identification and analysis of the ecological consequences of land cover change. Changes in land use and land cover significantly affect the ability of ecosystems to provide essential ecological goods and services, which, in turn, affect the economic, public health, and social benefits that these ecosystems provide. One of the great scientific challenges for geographic science is to understand and calibrate the effects of land use and land cover change and the complex interaction between human and biotic systems at a variety of natural, geographic, and political scales. Understanding the dynamics of land surface change requires an increased understanding of the complex nature of human-environmental systems and will require a suite of scientific tools that include traditional geographic data and analysis methods, such as remote sensing and geographic information systems (GIS), as well as innovative approaches to understanding the dynamics of complex systems. One such approach that has gained much recent scientific attention is the landscape indicator, or landscape assessment, approach, which has been developed with the emergence of the science of landscape ecology.

Integrating Inquiry-Based Science and Education Methods Courses in a "Science Semester" for Future Elementary Teachers

NASA Astrophysics Data System (ADS)

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

2001-05-01

In this NSF-funded project we will adapt problem-based learning (PBL) and other inquiry-based approaches to create an integrated science and education methods curriculum ("science semester") for elementary teacher education majors. Our goal is to foster integrated understandings of science and pedagogy that future elementary teachers need to effectively use inquiry-based approaches in their classrooms. This project responds to calls to improve science education for all students by making preservice teachers' experiences in undergraduate science courses more consistent with reforms at the K-12 level. The involved faculty teach three science courses (biology, earth science, physical science) and an elementary science education methods course that are degree requirements for elementary teacher education majors. Presently, students take the courses in variable sequences and at widely scattered times. Too many students fail to appreciate the value of science courses to their future careers as teachers, and when they reach the methods course in the junior year they often retain little of the science content studied earlier. These episodic encounters with science make it difficult for students to learn the content, and to translate their understandings of science into effective, inquiry-based teaching strategies. To encourage integrated understandings of science concepts and pedagogy we will coordinate the science and methods courses in a junior-year science semester. Traditional subject matter boundaries will be crossed to stress shared themes that teachers must understand to teach standards-based elementary science. We will adapt exemplary approaches that support both learning science and learning how to teach science. Students will work collaboratively on multidisciplinary PBL activities that place science concepts in authentic contexts and build learning skills. "Lecture" meetings will be large group active learning sessions that help students understand difficult concepts, make connections between class activities, and launch and wrap-up PBL problems. Labs will include activities from elementary science kits as launching points for in-depth investigations that demonstrate the continuity of science concepts and pedagogies across age levels. In the methods course, students will critically explore the theory and practice of elementary science teaching, drawing on their shared experiences of inquiry learning in the science courses. Field placements in elementary classrooms will allow students to ground their studies of science and pedagogy in actual practice.

Integrating thematic web portal capabilities into the NASA Earthdata Web Infrastructure

NASA Astrophysics Data System (ADS)

Wong, M. M.; McLaughlin, B. D.; Huang, T.; Baynes, K.

2015-12-01

The National Aeronautics and Space Administration (NASA) acquires and distributes an abundance of Earth science data on a daily basis to a diverse user community worldwide. To assist the scientific community and general public in achieving a greater understanding of the interdisciplinary nature of Earth science and of key environmental and climate change topics, the NASA Earthdata web infrastructure is integrating new methods of presenting and providing access to Earth science information, data, research and results. This poster will present the process of integrating thematic web portal capabilities into the NASA Earthdata web infrastructure, with examples from the Sea Level Change Portal. The Sea Level Change Portal will be a source of current NASA research, data and information regarding sea level change. The portal will provide sea level change information through articles, graphics, videos and animations, an interactive tool to view and access sea level change data and a dashboard showing sea level change indicators. Earthdata is a part of the Earth Observing System Data and Information System (EOSDIS) project. EOSDIS is a key core capability in NASA's Earth Science Data Systems Program. It provides end-to-end capabilities for managing NASA's Earth science data from various sources - satellites, aircraft, field measurements, and various other programs. It is comprised of twelve Distributed Active Archive Centers (DAACs), Science Computing Facilities (SCFs), data discovery and service access client (Reverb and Earthdata Search), dataset directory (Global Change Master Directory - GCMD), near real-time data (Land Atmosphere Near real-time Capability for EOS - LANCE), Worldview (an imagery visualization interface), Global Imagery Browse Services, the Earthdata Code Collaborative and a host of other discipline specific data discovery, data access, data subsetting and visualization tools.

Surface science and model catalysis with ionic liquid-modified materials.

PubMed

Steinrück, H-P; Libuda, J; Wasserscheid, P; Cremer, T; Kolbeck, C; Laurin, M; Maier, F; Sobota, M; Schulz, P S; Stark, M

2011-06-17

Materials making use of thin ionic liquid (IL) films as support-modifying functional layer open up a variety of new possibilities in heterogeneous catalysis, which range from the tailoring of gas-surface interactions to the immobilization of molecularly defined reactive sites. The present report reviews recent progress towards an understanding of "supported ionic liquid phase (SILP)" and "solid catalysts with ionic liquid layer (SCILL)" materials at the microscopic level, using a surface science and model catalysis type of approach. Thin film IL systems can be prepared not only ex-situ, but also in-situ under ultrahigh vacuum (UHV) conditions using atomically well-defined surfaces as substrates, for example by physical vapor deposition (PVD). Due to their low vapor pressure, these systems can be studied in UHV using the full spectrum of surface science techniques. We discuss general strategies and considerations of this approach and exemplify the information available from complementary methods, specifically photoelectron spectroscopy and surface vibrational spectroscopy. Copyright © 2011 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Exploring the Use of Audience Response Systems in Secondary School Science Classrooms

NASA Astrophysics Data System (ADS)

Kay, Robin; Knaack, Liesel

2009-10-01

An audience response systems (ARS) allows students to respond to multiple choice questions using remote control devices. Once the feedback is collected and displayed, the teacher and students discuss misconceptions and difficulties experienced. ARSs have been extremely popular and effective in higher education science classrooms, although almost no research has been done at the secondary school level. The purpose of this study was to conduct a detailed formative analysis of the benefits, challenges, and use of ARSs from the perspective of 213 secondary school science students. Perceived benefits were increased student involvement (engagement, participation, and attention) and effective formative assessment of student understanding. Perceived challenges included decreased student involvement and learning when ARSs were used for summative assessment, occasional technological malfunctions, resistance to using a new method of learning, and increased stress due to time constraints when responding to questions. Finally, students rated the use of ARSs significantly higher when it was used for formative as opposed to summative assessment.

Bosonized Supersymmetric Sawada-Kotera Equations: Symmetries and Exact Solutions

NASA Astrophysics Data System (ADS)

Liu, Ping; Zeng, Bao-Qing; Liu, Li-Ming

2015-04-01

The Bosonized Supersymmetric Sawada-Kotera (BSSK) system is constructed by applying bosonization method to a Supersymmetric Sawada-Kotera system in this paper. The symmetries on the BSSK equations are researched and the calculation shows that the BSSK equations are invariant under the scaling transformations, the space-time translations and Galilean boosts. The one-parameter invariant subgroups and the corresponding invariant solutions are researched for the BSSK equations. Four types of reduction equations and similarity solutions are proposed. Period Cnoidal wave solutions, dark solitary wave solutions and bright solitary wave solutions of the BSSK equations are demonstrated and some evolution curves of the exact solutions are figured out. Supported by the National Natural Science Foundation of China under Grant No. 11305031, the Natural Science Foundation of Guangdong Province under Grant No. S2013010011546, the Science and Technology Project Foundation of Zhongshan under Grant Nos. 2013A3FC0264 and 2013A3FC0334, and Training Programme Foundation for Outstanding Young Teachers in Higher Education Institutions of Guangdong Province under Grant No. Yq2013205

FOREWORD: Focus on Combinatorial Materials Science Focus on Combinatorial Materials Science

NASA Astrophysics Data System (ADS)

Chikyo, Toyohiro

2011-10-01

About 15 years have passed since the introduction of modern combinatorial synthesis and high-throughput techniques for the development of novel inorganic materials; however, similar methods existed before. The most famous was reported in 1970 by Hanak who prepared composition-spread films of metal alloys by sputtering mixed-material targets. Although this method was innovative, it was rarely used because of the large amount of data to be processed. This problem is solved in the modern combinatorial material research, which is strongly related to computer data analysis and robotics. This field is still at the developing stage and may be enriched by new methods. Nevertheless, given the progress in measurement equipment and procedures, we believe the combinatorial approach will become a major and standard tool of materials screening and development. The first article of this journal, published in 2000, was titled 'Combinatorial solid state materials science and technology', and this focus issue aims to reintroduce this topic to the Science and Technology of Advanced Materials audience. It covers recent progress in combinatorial materials research describing new results in catalysis, phosphors, polymers and metal alloys for shape memory materials. Sophisticated high-throughput characterization schemes and innovative synthesis tools are also presented, such as spray deposition using nanoparticles or ion plating. On a technical note, data handling systems are introduced to familiarize researchers with the combinatorial methodology. We hope that through this focus issue a wide audience of materials scientists can learn about recent and future trends in combinatorial materials science and high-throughput experimentation.