50 CFR 86.120 - What is the Comprehensive National Assessment?

Code of Federal Regulations, 2010 CFR

2010-10-01

... Assessment? 86.120 Section 86.120 Wildlife and Fisheries UNITED STATES FISH AND WILDLIFE SERVICE, DEPARTMENT... INFRASTRUCTURE GRANT (BIG) PROGRAM Completing the Comprehensive National Assessment § 86.120 What is the Comprehensive National Assessment? The Comprehensive National Assessment is a national report integrating the...

50 CFR 86.121 - What does the Comprehensive National Assessment do?

Code of Federal Regulations, 2010 CFR

2010-10-01

... 50 Wildlife and Fisheries 6 2010-10-01 2010-10-01 false What does the Comprehensive National... INFRASTRUCTURE GRANT (BIG) PROGRAM Completing the Comprehensive National Assessment § 86.121 What does the Comprehensive National Assessment do? The Comprehensive National Assessment determines nationwide the adequacy...

50 CFR 86.11 - What does the national BIG Program do?

Code of Federal Regulations, 2010 CFR

2010-10-01

... 50 Wildlife and Fisheries 6 2010-10-01 2010-10-01 false What does the national BIG Program do? 86.11 Section 86.11 Wildlife and Fisheries UNITED STATES FISH AND WILDLIFE SERVICE, DEPARTMENT OF THE... GRANT (BIG) PROGRAM General Information About the Grant Program § 86.11 What does the national BIG...

Restoring Anadromous Fish Habitat in Big Canyon Creek Watershed, 2004-2005 Annual Report.

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

Rasmussen, Lynn

2006-07-01

The ''Restoring Anadromous Fish Habitat in the Big Canyon Creek Watershed'' is a multi-phase project to enhance steelhead trout in the Big Canyon Creek watershed by improving salmonid spawning and rearing habitat. Habitat is limited by extreme high runoff events, low summer flows, high water temperatures, poor instream cover, spawning gravel siltation, and sediment, nutrient and bacteria loading. Funded by the Bonneville Power Administration (BPA) as part of the Northwest Power Planning Council's Fish and Wildlife Program, the project assists in mitigating damage to steelhead runs caused by the Columbia River hydroelectric dams. The project is sponsored by the Nezmore » Perce Soil and Water Conservation District. Target fish species include steelhead trout (Oncorhynchus mykiss). Steelhead trout within the Snake River Basin were listed in 1997 as threatened under the Endangered Species Act. Accomplishments for the contract period September 1, 2004 through October 31, 2005 include; 2.7 riparian miles treated, 3.0 wetland acres treated, 5,263.3 upland acres treated, 106.5 riparian acres treated, 76,285 general public reached, 3,000 students reached, 40 teachers reached, 18 maintenance plans completed, temperature data collected at 6 sites, 8 landowner applications received and processed, 14 land inventories completed, 58 habitat improvement project designs completed, 5 newsletters published, 6 habitat plans completed, 34 projects installed, 2 educational workshops, 6 displays, 1 television segment, 2 public service announcements, a noxious weed GIS coverage, and completion of NEPA, ESA, and cultural resources requirements.« less

Big Data in Caenorhabditis elegans: quo vadis?

PubMed Central

Hutter, Harald; Moerman, Donald

2015-01-01

A clear definition of what constitutes “Big Data” is difficult to identify, but we find it most useful to define Big Data as a data collection that is complete. By this criterion, researchers on Caenorhabditis elegans have a long history of collecting Big Data, since the organism was selected with the idea of obtaining a complete biological description and understanding of development. The complete wiring diagram of the nervous system, the complete cell lineage, and the complete genome sequence provide a framework to phrase and test hypotheses. Given this history, it might be surprising that the number of “complete” data sets for this organism is actually rather small—not because of lack of effort, but because most types of biological experiments are not currently amenable to complete large-scale data collection. Many are also not inherently limited, so that it becomes difficult to even define completeness. At present, we only have partial data on mutated genes and their phenotypes, gene expression, and protein–protein interaction—important data for many biological questions. Big Data can point toward unexpected correlations, and these unexpected correlations can lead to novel investigations; however, Big Data cannot establish causation. As a result, there is much excitement about Big Data, but there is also a discussion on just what Big Data contributes to solving a biological problem. Because of its relative simplicity, C. elegans is an ideal test bed to explore this issue and at the same time determine what is necessary to build a multicellular organism from a single cell. PMID:26543198

If Walls Could Talk

ERIC Educational Resources Information Center

Landay, Eileen; Wootton, Kurt

2013-01-01

As Len Newman looked for a big idea around which to center the year's work for his students at Central Falls High School in Central Falls, Rhode Island, he recalled a professional development program he had completed at Brown University in the ArtsLiteracy Project's lab school. The project was comprised of groups who designed their courses around…

50 CFR 86.115 - How should I administer the survey?

Code of Federal Regulations, 2014 CFR

2014-10-01

... (BIG) PROGRAM How States Will Complete Access Needs Surveys § 86.115 How should I administer the survey... methodology to collect data, which may include telephone, mail, fax, or other inventory means. We do not expect you to use automated, electronic, mechanical, or similar means of information collection. (d) Data...

50 CFR 86.115 - How should I administer the survey?

Code of Federal Regulations, 2013 CFR

2013-10-01

... (BIG) PROGRAM How States Will Complete Access Needs Surveys § 86.115 How should I administer the survey... methodology to collect data, which may include telephone, mail, fax, or other inventory means. We do not expect you to use automated, electronic, mechanical, or similar means of information collection. (d) Data...

Implementation of a Big Data Accessing and Processing Platform for Medical Records in Cloud.

PubMed

Yang, Chao-Tung; Liu, Jung-Chun; Chen, Shuo-Tsung; Lu, Hsin-Wen

2017-08-18

Big Data analysis has become a key factor of being innovative and competitive. Along with population growth worldwide and the trend aging of population in developed countries, the rate of the national medical care usage has been increasing. Due to the fact that individual medical data are usually scattered in different institutions and their data formats are varied, to integrate those data that continue increasing is challenging. In order to have scalable load capacity for these data platforms, we must build them in good platform architecture. Some issues must be considered in order to use the cloud computing to quickly integrate big medical data into database for easy analyzing, searching, and filtering big data to obtain valuable information.This work builds a cloud storage system with HBase of Hadoop for storing and analyzing big data of medical records and improves the performance of importing data into database. The data of medical records are stored in HBase database platform for big data analysis. This system performs distributed computing on medical records data processing through Hadoop MapReduce programming, and to provide functions, including keyword search, data filtering, and basic statistics for HBase database. This system uses the Put with the single-threaded method and the CompleteBulkload mechanism to import medical data. From the experimental results, we find that when the file size is less than 300MB, the Put with single-threaded method is used and when the file size is larger than 300MB, the CompleteBulkload mechanism is used to improve the performance of data import into database. This system provides a web interface that allows users to search data, filter out meaningful information through the web, and analyze and convert data in suitable forms that will be helpful for medical staff and institutions.

50 CFR 86.116 - May I change the questions in the survey?

Code of Federal Regulations, 2010 CFR

2010-10-01

... 50 Wildlife and Fisheries 6 2010-10-01 2010-10-01 false May I change the questions in the survey? 86.116 Section 86.116 Wildlife and Fisheries UNITED STATES FISH AND WILDLIFE SERVICE, DEPARTMENT OF... INFRASTRUCTURE GRANT (BIG) PROGRAM How States Will Complete Access Needs Surveys § 86.116 May I change the...

50 CFR 86.112 - What are the advantages of doing a survey?

Code of Federal Regulations, 2010 CFR

2010-10-01

... 50 Wildlife and Fisheries 6 2010-10-01 2010-10-01 false What are the advantages of doing a survey? 86.112 Section 86.112 Wildlife and Fisheries UNITED STATES FISH AND WILDLIFE SERVICE, DEPARTMENT OF... INFRASTRUCTURE GRANT (BIG) PROGRAM How States Will Complete Access Needs Surveys § 86.112 What are the advantages...

LLMapReduce: Multi-Lingual Map-Reduce for Supercomputing Environments

DTIC Science & Technology

2015-11-20

1990s. Popularized by Google [36] and Apache Hadoop [37], map-reduce has become a staple technology of the ever- growing big data community...Lexington, MA, U.S.A Abstract— The map-reduce parallel programming model has become extremely popular in the big data community. Many big data ...to big data users running on a supercomputer. LLMapReduce dramatically simplifies map-reduce programming by providing simple parallel programming

High School Students as Mentors: Findings from the Big Brothers Big Sisters School-Based Mentoring Impact Study

ERIC Educational Resources Information Center

Herrera, Carla; Kauh, Tina J.; Cooney, Siobhan M.; Grossman, Jean Baldwin; McMaken, Jennifer

2008-01-01

High schools have recently become a popular source of mentors for school-based mentoring (SBM) programs. The high school Bigs program of Big Brothers Big Sisters of America, for example, currently involves close to 50,000 high-school-aged mentors across the country. While the use of these young mentors has several potential advantages, their age…

A Big Data Analytics Methodology Program in the Health Sector

ERIC Educational Resources Information Center

Lawler, James; Joseph, Anthony; Howell-Barber, H.

2016-01-01

The benefits of Big Data Analytics are cited frequently in the literature. However, the difficulties of implementing Big Data Analytics can limit the number of organizational projects. In this study, the authors evaluate business, procedural and technical factors in the implementation of Big Data Analytics, applying a methodology program. Focusing…

The Role of Gender in Youth Mentoring Relationship Formation and Duration

ERIC Educational Resources Information Center

Rhodes, Jean; Lowe, Sarah R.; Litchfield, Leon; Walsh-Samp, Kathy

2008-01-01

The role of gender in shaping the course and quality of adult-youth mentoring relationships was examined. The study drew on data from a large, random assignment evaluation of Big Brothers Big Sisters of America (BBSA) programs [Grossman, J. B., & Tierney, J. P. (1998). Does mentoring work? An impact study of the Big Brothers Big Sisters program.…

SharP

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

Venkata, Manjunath Gorentla; Aderholdt, William F

The pre-exascale systems are expected to have a significant amount of hierarchical and heterogeneous on-node memory, and this trend of system architecture in extreme-scale systems is expected to continue into the exascale era. along with hierarchical-heterogeneous memory, the system typically has a high-performing network ad a compute accelerator. This system architecture is not only effective for running traditional High Performance Computing (HPC) applications (Big-Compute), but also for running data-intensive HPC applications and Big-Data applications. As a consequence, there is a growing desire to have a single system serve the needs of both Big-Compute and Big-Data applications. Though the system architecturemore » supports the convergence of the Big-Compute and Big-Data, the programming models and software layer have yet to evolve to support either hierarchical-heterogeneous memory systems or the convergence. A programming abstraction to address this problem. The programming abstraction is implemented as a software library and runs on pre-exascale and exascale systems supporting current and emerging system architecture. Using distributed data-structures as a central concept, it provides (1) a simple, usable, and portable abstraction for hierarchical-heterogeneous memory and (2) a unified programming abstraction for Big-Compute and Big-Data applications.« less

Lean on Me.

ERIC Educational Resources Information Center

Black, Susan

1999-01-01

Mentoring programs cannot always obliterate deficiencies in adult/child relationships or better student achievement. Two successful programs are the Big Brother/Big Sister program and the Office of Juvenile Justice's Juvenile Mentoring Program. (JUMP). Social support, not social control, is essential. Sidebars contain program tips and selected…

JWST Telescope Integration and Test Progress

NASA Technical Reports Server (NTRS)

Matthews, Gary W.; Whitman, Tony L.; Feinberg, Lee D.; Voyton, Mark F.; Lander, Juli A.; Keski-Kuha, Ritva

2016-01-01

The James Webb Space Telescope (JWST) is a 6.5m, segmented, IR telescope that will explore the first light of the universe after the big bang. The JWST Optical Telescope Element (Telescope) integration and test program is well underway. The telescope was completed in the spring of 2016 and the cryogenic test equipment has been through two optical test programs leading up to the final flight verification program. The details of the telescope mirror integration will be provided along with the current status of the flight observatory. In addition, the results of the two optical ground support equipment cryo tests will be shown and how these plans fold into the flight verification program.

Supporting Mentoring Relationships of Youth in Foster Care: Do Program Practices Predict Match Length?

PubMed

Stelter, Rebecca L; Kupersmidt, Janis B; Stump, Kathryn N

2018-04-15

Implementation of research- and safety-based program practices enhance the longevity of mentoring relationships, in general; however, little is known about how mentoring programs might support the relationships of mentees in foster care. Benchmark program practices and Standards in the Elements of Effective Practice for Mentoring, 3rd Edition (MENTOR, 2009) were assessed in the current study as predictors of match longevity. Secondary data analyses were conducted on a national agency information management database from 216 Big Brothers Big Sisters agencies serving 641 youth in foster care and 70,067 youth not in care from across the United States (Mean = 11.59 years old at the beginning of their matches) in one-to-one, community-based (55.06%) and school- or site-based (44.94%) matches. Mentees in foster care had shorter matches and matches that were more likely to close prematurely than mentees who were not in foster care. Agency leaders from 32 programs completed a web-based survey describing their policies and practices. The sum total numbers of Benchmark program practices and Standards were associated with match length for 208 mentees in foster care; however, neither predicted premature match closure. Results are discussed in terms of how mentoring programs and their staff can support the mentoring relationships of high-risk youth in foster care. © Society for Community Research and Action 2018.

Use of a "small-bubble technique" to increase the success of Anwar's "big-bubble technique" for deep lamellar keratoplasty with complete baring of Descemet's membrane.

PubMed

Parthasarathy, Anand; Por, Yong Ming; Tan, Donald T H

2007-10-01

To describe a quick and simple "small-bubble" technique to immediately determine the success of attaining complete Descemet's membrane (DM) separation from corneal stroma through Anwar's "big-bubble" technique of deep anterior lamellar keratoplasty (DALK) for complete stromal removal. A partial trephination was followed by a lamellar dissection of the anterior stroma. Deep stromal air injection was then attempted to achieve the big bubble to help separate the stroma from the DM. To confirm that a big bubble had been achieved, a small air bubble was injected into the anterior chamber (AC) through a limbal paracentesis. If the small bubble is then seen at the corneal periphery, it confirms that the big-bubble separation of DM was successful because the convex nature of the bubble will cause it to protrude posteriorly, forcing the small AC bubble to the periphery. If the small AC bubble is not seen in the corneal periphery, this means that it is present in the centre, beneath the opaque corneal stroma, and therefore the big bubble has not been achieved. We used the small-bubble technique to confirm the presence of the big bubble in three (one keratoconus, one interstitial keratitis and one dense corneal scar) out of 41 patients who underwent DALK. The small-bubble technique confirmed that the big bubble was achieved in the eye of all three patients. Complete stromal removal with baring of the DM was achieved, and postoperatively all three eyes achieved best corrected vision of 6/6. The small-bubble technique can be a useful surgical tool for corneal surgeons attempting lamellar keratoplasty using the big-bubble technique. It helps in confirming the separation of DM from the deep stroma, which is important in achieving total stromal replacement. It will help to make the transition to lamellar keratoplasty smoother, enhance corneal graft success and improve visual outcomes in patients.

Breaking the Silence: Disordered Eating and Big Five Traits in College Men.

PubMed

Dubovi, Abigail S; Li, Yue; Martin, Jessica L

2016-11-01

Men remain largely underrepresented in the eating disorder literature and few studies have investigated risk factors for disordered eating among men. The current study examined associations between Big Five personality traits and eating disorder symptoms in a sample of college men (N = 144). Participants completed the Eating Disorder Diagnostic Scale and Ten Item Personality Inventory online. Results suggested that openness was positively associated with purging-type behaviors and that emotional stability was positively related to symptoms of anorexia nervosa and global eating pathology. Findings highlight the prevalence of eating disorder symptoms among college men and suggest that these symptoms are associated with a different constellation of personality traits than is typically reported among women. Implications for targeted prevention and intervention programs and future research are discussed. © The Author(s) 2015.

The Big6 Collection: The Best of the Big6 Newsletter.

ERIC Educational Resources Information Center

Eisenberg, Michael B.; Berkowitz, Robert E.

The Big6 is a complete approach to implementing meaningful learning and teaching of information and technology skills, essential for 21st century living. Including in-depth articles, practical tips, and explanations, this book offers a varied range of material about students and teachers, the Big6, and curriculum. The book is divided into 10 main…

The Cost of Commonality: Assessing Value in Joint Programs

DTIC Science & Technology

2015-12-01

this collection of information is estimated to average 1 hour per response, including the time for reviewing instruction, searching existing data ...sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden...economies of scale in order to provide cheaper goods. When those economies of scale are not realized, as was the case with the U.S. auto market “ Big Three

Are youth mentoring programs good value-for-money? An evaluation of the Big Brothers Big Sisters Melbourne Program.

PubMed

Moodie, Marjory L; Fisher, Jane

2009-01-30

The Big Brothers Big Sisters (BBBS) program matches vulnerable young people with a trained, supervised adult volunteer as mentor. The young people are typically seriously disadvantaged, with multiple psychosocial problems. Threshold analysis was undertaken to determine whether investment in the program was a worthwhile use of limited public funds. The potential cost savings were based on US estimates of life-time costs associated with high-risk youth who drop out-of-school and become adult criminals. The intervention was modelled for children aged 10-14 years residing in Melbourne in 2004. If the program serviced 2,208 of the most vulnerable young people, it would cost AUD 39.5 M. Assuming 50% were high-risk, the associated costs of their adult criminality would be AUD 3.3 billion. To break even, the program would need to avert high-risk behaviours in only 1.3% (14/1,104) of participants. This indicative evaluation suggests that the BBBS program represents excellent 'value for money'.

Invisible Roles of Doctoral Program Specialists

ERIC Educational Resources Information Center

Bachman, Eva Burns; Grady, Marilyn L.

2016-01-01

The purpose of this study was to investigate the roles of doctoral program specialists in Big Ten universities. Face-to-face interviews with 20 doctoral program specialists employed in institutions in the Big Ten were conducted. Participants were asked to describe their roles within their work place. The doctoral program specialists reported their…

Antigravity and the big crunch/big bang transition

NASA Astrophysics Data System (ADS)

Bars, Itzhak; Chen, Shih-Hung; Steinhardt, Paul J.; Turok, Neil

2012-08-01

We point out a new phenomenon which seems to be generic in 4d effective theories of scalar fields coupled to Einstein gravity, when applied to cosmology. A lift of such theories to a Weyl-invariant extension allows one to define classical evolution through cosmological singularities unambiguously, and hence construct geodesically complete background spacetimes. An attractor mechanism ensures that, at the level of the effective theory, generic solutions undergo a big crunch/big bang transition by contracting to zero size, passing through a brief antigravity phase, shrinking to zero size again, and re-emerging into an expanding normal gravity phase. The result may be useful for the construction of complete bouncing cosmologies like the cyclic model.

The complete mitochondrial genome of the big-belly seahorse, Hippocampus abdominalis (Lesson 1827).

PubMed

Wang, Lei; Chen, Zaizhong; Leng, Xiangjun; Gao, Jianzhong; Chen, Xiaowu; Li, Zhongpu; Sun, Peiying; Zhao, Yuming

2016-11-01

In this study, the complete mitogenome sequence of the big-belly seahorse, Hippocampus abdominalis (Lesson, 1827) (Syngnathiformes: Syngnathidae), has been sequenced by the next-generation sequencing method. The assembled mitogenome is 16 521 bp in length which includes 13 protein-coding genes, 22 transfer RNAs, and 2 ribosomal RNAs genes. The overall base composition of the seahorse is 31.1% for A, 23.6% for C, 16.0% for G, 29.3% for T and shows 87% identities similar to tiger tail seahorse, Hippocampus comes. The complete mitogenome of the big-belly seahorse provides essential and important DNA molecular data for further phylogeography and evolutionary analysis for seahorse family.

Big Data Bioinformatics

PubMed Central

GREENE, CASEY S.; TAN, JIE; UNG, MATTHEW; MOORE, JASON H.; CHENG, CHAO

2017-01-01

Recent technological advances allow for high throughput profiling of biological systems in a cost-efficient manner. The low cost of data generation is leading us to the “big data” era. The availability of big data provides unprecedented opportunities but also raises new challenges for data mining and analysis. In this review, we introduce key concepts in the analysis of big data, including both “machine learning” algorithms as well as “unsupervised” and “supervised” examples of each. We note packages for the R programming language that are available to perform machine learning analyses. In addition to programming based solutions, we review webservers that allow users with limited or no programming background to perform these analyses on large data compendia. PMID:27908398

Big Data Bioinformatics

PubMed Central

GREENE, CASEY S.; TAN, JIE; UNG, MATTHEW; MOORE, JASON H.; CHENG, CHAO

2017-01-01

Recent technological advances allow for high throughput profiling of biological systems in a cost-efficient manner. The low cost of data generation is leading us to the “big data” era. The availability of big data provides unprecedented opportunities but also raises new challenges for data mining and analysis. In this review, we introduce key concepts in the analysis of big data, including both “machine learning” algorithms as well as “unsupervised” and “supervised” examples of each. We note packages for the R programming language that are available to perform machine learning analyses. In addition to programming based solutions, we review webservers that allow users with limited or no programming background to perform these analyses on large data compendia. PMID:24799088

Big data bioinformatics.

PubMed

Greene, Casey S; Tan, Jie; Ung, Matthew; Moore, Jason H; Cheng, Chao

2014-12-01

Recent technological advances allow for high throughput profiling of biological systems in a cost-efficient manner. The low cost of data generation is leading us to the "big data" era. The availability of big data provides unprecedented opportunities but also raises new challenges for data mining and analysis. In this review, we introduce key concepts in the analysis of big data, including both "machine learning" algorithms as well as "unsupervised" and "supervised" examples of each. We note packages for the R programming language that are available to perform machine learning analyses. In addition to programming based solutions, we review webservers that allow users with limited or no programming background to perform these analyses on large data compendia. © 2014 Wiley Periodicals, Inc.

Use of Entertainment Elements in an Online Video Mini-Series to Train Pharmacy Preceptors.

PubMed

Cox, Craig D; Cheon, Jongpil; Crooks, Steven M; Lee, Jaehoon; Curtis, Jacob D

2017-02-25

Objective. To create an entertaining approach to training pharmacy preceptors. Design. A training program was developed to provide an innovative, entertaining, and flexible continuing education program for pharmacy preceptors. Three instructional design principles - providing an authentic context, offering a diversity of content, and engaging and maintaining attention - were foundational to this concept. The mini-series consisted of 12 online video episodes. Participants completed three reflective questions and one evaluation after watching each episode. Three months following completion of the training, a survey was distributed to analyze the long-term impact of the mini-series on precepting skills. Assessment. Two hundred two participants completed all 12 episodes. After completing the training series, the participants' confidence level in their knowledge pertaining to the objectives was significantly greater than before they started. Among the 32% of participants who responded to the three-month follow-up survey, the mean score for precepting confidence was 6.8 on a scale of 1 to 10 on which 1=no increase to 10=big increase. Also, 99% of participants indicated they would complete a similar training program and recommend to others. Conclusions. Feedback from the mini-series provides evidence of the effectiveness of its delivery format and use as a preceptor learning tool.

Use of Entertainment Elements in an Online Video Mini-Series to Train Pharmacy Preceptors

PubMed Central

Cheon, Jongpil; Crooks, Steven M.; Lee, Jaehoon; Curtis, Jacob D.

2017-01-01

Objective. To create an entertaining approach to training pharmacy preceptors. Design. A training program was developed to provide an innovative, entertaining, and flexible continuing education program for pharmacy preceptors. Three instructional design principles – providing an authentic context, offering a diversity of content, and engaging and maintaining attention – were foundational to this concept. The mini-series consisted of 12 online video episodes. Participants completed three reflective questions and one evaluation after watching each episode. Three months following completion of the training, a survey was distributed to analyze the long-term impact of the mini-series on precepting skills. Assessment. Two hundred two participants completed all 12 episodes. After completing the training series, the participants’ confidence level in their knowledge pertaining to the objectives was significantly greater than before they started. Among the 32% of participants who responded to the three-month follow-up survey, the mean score for precepting confidence was 6.8 on a scale of 1 to 10 on which 1=no increase to 10=big increase. Also, 99% of participants indicated they would complete a similar training program and recommend to others. Conclusions. Feedback from the mini-series provides evidence of the effectiveness of its delivery format and use as a preceptor learning tool. PMID:28289302

Big Data Knowledge in Global Health Education.

PubMed

Olayinka, Olaniyi; Kekeh, Michele; Sheth-Chandra, Manasi; Akpinar-Elci, Muge

The ability to synthesize and analyze massive amounts of data is critical to the success of organizations, including those that involve global health. As countries become highly interconnected, increasing the risk for pandemics and outbreaks, the demand for big data is likely to increase. This requires a global health workforce that is trained in the effective use of big data. To assess implementation of big data training in global health, we conducted a pilot survey of members of the Consortium of Universities of Global Health. More than half the respondents did not have a big data training program at their institution. Additionally, the majority agreed that big data training programs will improve global health deliverables, among other favorable outcomes. Given the observed gap and benefits, global health educators may consider investing in big data training for students seeking a career in global health. Copyright © 2017 Icahn School of Medicine at Mount Sinai. Published by Elsevier Inc. All rights reserved.

The Big6: Not Just for Kids! Introduction to the Big6: Information Problem-Solving for Upper High School, College-Age, and Adult Students.

ERIC Educational Resources Information Center

Eisenberg, Mike; Spitzer, Kathy

1998-01-01

Explains the Big6 approach to information problem-solving based on exercises that were developed for college or upper high school students that can be completed during class sessions. Two of the exercises relate to personal information problems, and one relates Big6 skill areas to course assignments. (LRW)

Supporting Imagers' VOICE: A National Training Program in Comparative Effectiveness Research and Big Data Analytics.

PubMed

Kang, Stella K; Rawson, James V; Recht, Michael P

2017-12-05

Provided methodologic training, more imagers can contribute to the evidence basis on improved health outcomes and value in diagnostic imaging. The Value of Imaging Through Comparative Effectiveness Research Program was developed to provide hands-on, practical training in five core areas for comparative effectiveness and big biomedical data research: decision analysis, cost-effectiveness analysis, evidence synthesis, big data principles, and applications of big data analytics. The program's mixed format consists of web-based modules for asynchronous learning as well as in-person sessions for practical skills and group discussion. Seven diagnostic radiology subspecialties and cardiology are represented in the first group of program participants, showing the collective potential for greater depth of comparative effectiveness research in the imaging community. Copyright © 2017 American College of Radiology. Published by Elsevier Inc. All rights reserved.

Summary and Analysis of the U.S. Government Bat Banding Program

USGS Publications Warehouse

Ellison, Laura E.

2008-01-01

This report summarizes the U.S. Government Bat Banding Program (BBP) from 1932 to 1972. More than 2 million bands were issued during the program, of which approximately 1.5 million bands were applied to 36 bat species by scientists in many locations in North America including the U.S., Canada, Mexico, and Central America. Throughout the BBP, banders noticed numerous and deleterious effects on bats, leading to a moratorium on bat banding by the U.S. Fish and Wildlife Service, and a resolution to cease banding by the American Society of Mammalogists in 1973. One of the main points of the memorandum written to justify the moratorium was to conduct a 'detailed evaluation of the files of the bat-banding program.' However, a critical and detailed evaluation of the BBP was never completed. In an effort to satisfy this need, I compiled a detailed history of the BBP by examining the files and conducting a literature review on bat banding activities during the program. I also provided a case study in managing data and applying current mark-recapture theory to estimate survival using the information from a series of bat bands issued to Clyde M. Senger during the BBP. The majority of bands applied by Senger were to Townsend's big-eared bat (Corynorhinus townsendii), a species of special concern for many states within its geographic range. I developed a database management system for the bat banding records and then analyzed and modeled survival of hibernating Townsend's big-eared bats at three main locations in Washington State using Cormack-Jolly-Seber (CJS) open models and the modeling capabilities of Program MARK. This analysis of a select dataset in the BBP files provided relatively precise estimates of survival for wintering Townsend's big-eared bats. However, this dataset is unique due to its well-maintained and complete state and because there were high recapture rates over the course of banding; it is doubtful that other unpublished datasets of the same quality exist buried in the BBP files for further analyses. Lastly, I make several recommendations based on the findings of this summary and analysis, the most important of which is that marking bats with standard metal or split-ring forearm bands should not be considered for mark-recapture studies unless the information sought and the potential for obtaining unbiased estimates from that information vastly outweighs the potential negative effects to the bats.

Reconnaissance-level assessment of water quality near Flandreau, South Dakota

USGS Publications Warehouse

Schaap, Bryan D.

2002-01-01

This report presents water-quality data that have been compiled and collected for a reconnaissance-level assessment of water quality near Flandreau, South Dakota. The investigation was initiated as a cooperative effort between the U.S. Geological Survey and the Flandreau Santee Sioux Tribe. Members of the Flandreau Santee Sioux Tribe have expressed concern that Tribal members residing in the city of Flandreau experience more health problems than the general population in the surrounding area. Prior to December 2000, water for the city of Flandreau was supplied by wells completed in the Big Sioux aquifer within the city of Flandreau. After December 2000, water for the city of Flandreau was supplied by the Big Sioux Community Water System from wells completed in the Big Sioux aquifer along the Big Sioux River near Egan, about 8 river miles downstream of Flandreau. There is some concern that the public and private water supplies provided by wells completed in the Big Sioux aquifer near the Big Sioux River may contain chemicals that contribute to the health problems. Data compiled from other investigations provide information about the water quality of the Big Sioux River and the Big Sioux aquifer in the Flandreau area from 1978 through 2001. The median, minimum, and maximum values are presented for fecal bacteria, nitrate, arsenic, and atrazine. Nitrate concentrations of water from Flandreau public-supply wells occasionally exceeded the Maximum Contaminant Level of 10 milligrams per liter for public drinking water. For this study, untreated-water samples were collected from the Big Sioux River in Flandreau and from five wells completed in the Big Sioux aquifer in and near Flandreau. Treated-water samples from the Big Sioux Community Water System were collected at a site about midway between the treatment facility near Egan and the city of Flandreau. The first round of sampling occurred during July 9-12, 2001, and the second round of sampling occurred during August 20-27, 2001. Samples were analyzed for a broad range of compounds, including major ions, nutrients, trace elements, pesticides, antibiotics, and organic wastewater compounds, some of which might cause adverse health effects after long-term exposure. Samples collected on August 27, 2001, from the Big Sioux River also were analyzed for human pharmaceutical compounds. The quality of the water in the Big Sioux River and the Big Sioux aquifer in the Flandreau area cannot be thoroughly characterized with the limited number of samples collected within a 2-month period, and for many analytes, neither drinking-water standards nor associations with adverse health effects have been established. Concentrations of some selected analytes were less than U.S. Environmental Protection Agency drinking-water standards at the time of the sampling, and concentrations of most organic compounds were less than the respective method reporting levels for most of the samples.

Big Earth Data Initiative: Metadata Improvement: Case Studies

NASA Technical Reports Server (NTRS)

Kozimor, John; Habermann, Ted; Farley, John

2016-01-01

Big Earth Data Initiative (BEDI) The Big Earth Data Initiative (BEDI) invests in standardizing and optimizing the collection, management and delivery of U.S. Government's civil Earth observation data to improve discovery, access use, and understanding of Earth observations by the broader user community. Complete and consistent standard metadata helps address all three goals.

To What Extent Can the Big Five and Learning Styles Predict Academic Achievement

ERIC Educational Resources Information Center

Köseoglu, Yaman

2016-01-01

Personality traits and learning styles play defining roles in shaping academic achievement. 202 university students completed the Big Five personality traits questionnaire and the Inventory of Learning Processes Scale and self-reported their grade point averages. Conscientiousness and agreeableness, two of the Big Five personality traits, related…

[Contemplation on the application of big data in clinical medicine].

PubMed

Lian, Lei

2015-01-01

Medicine is another area where big data is being used. The link between clinical treatment and outcome is the key step when applying big data in medicine. In the era of big data, it is critical to collect complete outcome data. Patient follow-up, comprehensive integration of data resources, quality control and standardized data management are the predominant approaches to avoid missing data and data island. Therefore, establishment of systemic patients follow-up protocol and prospective data management strategy are the important aspects of big data in medicine.

Evolution of the Air Toxics under the Big Sky Program

ERIC Educational Resources Information Center

Marra, Nancy; Vanek, Diana; Hester, Carolyn; Holian, Andrij; Ward, Tony; Adams, Earle; Knuth, Randy

2011-01-01

As a yearlong exploration of air quality and its relation to respiratory health, the "Air Toxics Under the Big Sky" program offers opportunities for students to learn and apply science process skills through self-designed inquiry-based research projects conducted within their communities. The program follows a systematic scope and sequence…

The New Improved Big6 Workshop Handbook. Professional Growth Series.

ERIC Educational Resources Information Center

Eisenberg, Michael B.; Berkowitz, Robert E.

This handbook is intended to help classroom teachers, teacher-librarians, technology teachers, administrators, parents, community members, and students to learn about the Big6 Skills approach to information and technology skills, to use the Big6 process in their own activities, and to implement a Big6 information and technology skills program. The…

Finding Fortune in Thirteen Out-of-School Time Programs: A Compendium of Education Programs and Practices.

ERIC Educational Resources Information Center

Trammel, Ming

This research compendium summarizes and reviews the evaluations of 13 out-of-school time programs with positive outcomes for young people. The programs are (1) 4-H; (2) 21st Century Community Learning Centers; (3) The After-School Corporation; (4) Beacons; (5) BELL After School Instructional Curriculum; (6) Big Brothers Big Sisters of America; (7)…

Applications of the MapReduce programming framework to clinical big data analysis: current landscape and future trends

PubMed Central

2014-01-01

The emergence of massive datasets in a clinical setting presents both challenges and opportunities in data storage and analysis. This so called “big data” challenges traditional analytic tools and will increasingly require novel solutions adapted from other fields. Advances in information and communication technology present the most viable solutions to big data analysis in terms of efficiency and scalability. It is vital those big data solutions are multithreaded and that data access approaches be precisely tailored to large volumes of semi-structured/unstructured data. The MapReduce programming framework uses two tasks common in functional programming: Map and Reduce. MapReduce is a new parallel processing framework and Hadoop is its open-source implementation on a single computing node or on clusters. Compared with existing parallel processing paradigms (e.g. grid computing and graphical processing unit (GPU)), MapReduce and Hadoop have two advantages: 1) fault-tolerant storage resulting in reliable data processing by replicating the computing tasks, and cloning the data chunks on different computing nodes across the computing cluster; 2) high-throughput data processing via a batch processing framework and the Hadoop distributed file system (HDFS). Data are stored in the HDFS and made available to the slave nodes for computation. In this paper, we review the existing applications of the MapReduce programming framework and its implementation platform Hadoop in clinical big data and related medical health informatics fields. The usage of MapReduce and Hadoop on a distributed system represents a significant advance in clinical big data processing and utilization, and opens up new opportunities in the emerging era of big data analytics. The objective of this paper is to summarize the state-of-the-art efforts in clinical big data analytics and highlight what might be needed to enhance the outcomes of clinical big data analytics tools. This paper is concluded by summarizing the potential usage of the MapReduce programming framework and Hadoop platform to process huge volumes of clinical data in medical health informatics related fields. PMID:25383096

Applications of the MapReduce programming framework to clinical big data analysis: current landscape and future trends.

PubMed

Mohammed, Emad A; Far, Behrouz H; Naugler, Christopher

2014-01-01

The emergence of massive datasets in a clinical setting presents both challenges and opportunities in data storage and analysis. This so called "big data" challenges traditional analytic tools and will increasingly require novel solutions adapted from other fields. Advances in information and communication technology present the most viable solutions to big data analysis in terms of efficiency and scalability. It is vital those big data solutions are multithreaded and that data access approaches be precisely tailored to large volumes of semi-structured/unstructured data. THE MAPREDUCE PROGRAMMING FRAMEWORK USES TWO TASKS COMMON IN FUNCTIONAL PROGRAMMING: Map and Reduce. MapReduce is a new parallel processing framework and Hadoop is its open-source implementation on a single computing node or on clusters. Compared with existing parallel processing paradigms (e.g. grid computing and graphical processing unit (GPU)), MapReduce and Hadoop have two advantages: 1) fault-tolerant storage resulting in reliable data processing by replicating the computing tasks, and cloning the data chunks on different computing nodes across the computing cluster; 2) high-throughput data processing via a batch processing framework and the Hadoop distributed file system (HDFS). Data are stored in the HDFS and made available to the slave nodes for computation. In this paper, we review the existing applications of the MapReduce programming framework and its implementation platform Hadoop in clinical big data and related medical health informatics fields. The usage of MapReduce and Hadoop on a distributed system represents a significant advance in clinical big data processing and utilization, and opens up new opportunities in the emerging era of big data analytics. The objective of this paper is to summarize the state-of-the-art efforts in clinical big data analytics and highlight what might be needed to enhance the outcomes of clinical big data analytics tools. This paper is concluded by summarizing the potential usage of the MapReduce programming framework and Hadoop platform to process huge volumes of clinical data in medical health informatics related fields.

Heike Kamerlingh Onnes and the Road to Superconductivity

NASA Astrophysics Data System (ADS)

van Delft, Dirk

2011-03-01

The discovery of superconductivity on 8 April 1911 came as a big surprise. It was stumbled upon in the Leiden cryogenic laboratory of Heike Kamerlingh Onnes in a moment of serendipity. Three years before, the liquefaction of helium on the other hand had been the culmination of a long battle with nature. It was a meticulously prepared operation, ``big science'' in its first appearance. Until recently, careless notebook entries by Kamerlingh Onnes and his terrible handwriting had hindered a complete view to the road to superconductivity. Even a date of the fascinating discovery was lacking. How did the discovery fit into the Leiden research program? What about the research effort Kamerlingh Onnes had to put in to be sure he had found superconductivity rather than a short-circuit? What about superfluidity? Once the right interpretation of the notebooks is clear, the real story can be told.

Teaching Information & Technology Skills: The Big6[TM] in Secondary Schools.

ERIC Educational Resources Information Center

Eisenberg, Michael B.; Berkowitz, Robert E.

This companion volume to a previous work focusing on the Big6 Approach in elementary schools provides secondary school classroom teachers, teacher-librarians, and technology teachers with the background and tools necessary to implement an integrated Big6 program. The first part of this book explains the Big6 approach and the rationale behind it.…

A Proposed Concentration Curriculum Design for Big Data Analytics for Information Systems Students

ERIC Educational Resources Information Center

Molluzzo, John C.; Lawler, James P.

2015-01-01

Big Data is becoming a critical component of the Information Systems curriculum. Educators are enhancing gradually the concentration curriculum for Big Data in schools of computer science and information systems. This paper proposes a creative curriculum design for Big Data Analytics for a program at a major metropolitan university. The design…

Scalability and Validation of Big Data Bioinformatics Software.

PubMed

Yang, Andrian; Troup, Michael; Ho, Joshua W K

2017-01-01

This review examines two important aspects that are central to modern big data bioinformatics analysis - software scalability and validity. We argue that not only are the issues of scalability and validation common to all big data bioinformatics analyses, they can be tackled by conceptually related methodological approaches, namely divide-and-conquer (scalability) and multiple executions (validation). Scalability is defined as the ability for a program to scale based on workload. It has always been an important consideration when developing bioinformatics algorithms and programs. Nonetheless the surge of volume and variety of biological and biomedical data has posed new challenges. We discuss how modern cloud computing and big data programming frameworks such as MapReduce and Spark are being used to effectively implement divide-and-conquer in a distributed computing environment. Validation of software is another important issue in big data bioinformatics that is often ignored. Software validation is the process of determining whether the program under test fulfils the task for which it was designed. Determining the correctness of the computational output of big data bioinformatics software is especially difficult due to the large input space and complex algorithms involved. We discuss how state-of-the-art software testing techniques that are based on the idea of multiple executions, such as metamorphic testing, can be used to implement an effective bioinformatics quality assurance strategy. We hope this review will raise awareness of these critical issues in bioinformatics.

Bmp signaling regulates a dose-dependent transcriptional program to control facial skeletal development.

PubMed

Bonilla-Claudio, Margarita; Wang, Jun; Bai, Yan; Klysik, Elzbieta; Selever, Jennifer; Martin, James F

2012-02-01

We performed an in depth analysis of Bmp4, a critical regulator of development, disease, and evolution, in cranial neural crest (CNC). Conditional Bmp4 overexpression, using a tetracycline-regulated Bmp4 gain-of-function allele, resulted in facial skeletal changes that were most dramatic after an E10.5 Bmp4 induction. Expression profiling uncovered a signature of Bmp4-induced genes (BIG) composed predominantly of transcriptional regulators that control self-renewal, osteoblast differentiation and negative Bmp autoregulation. The complimentary experiment, CNC inactivation of Bmp2, Bmp4 and Bmp7, resulted in complete or partial loss of multiple CNC-derived skeletal elements, revealing a crucial requirement for Bmp signaling in membranous bone and cartilage development. Importantly, the BIG signature was reduced in Bmp loss-of-function mutants, indicating Bmp-regulated target genes are modulated by Bmp dose. Chromatin immunoprecipitation (ChIP) revealed a subset of the BIG signature, including Satb2, Smad6, Hand1, Gadd45γ and Gata3, that was bound by Smad1/5 in the developing mandible, revealing direct Smad-mediated regulation. These data support the hypothesis that Bmp signaling regulates craniofacial skeletal development by balancing self-renewal and differentiation pathways in CNC progenitors.

Portfolio Acquisition - How the DoD Can Leverage the Commercial Product Line Model

DTIC Science & Technology

2015-04-30

canceled (Harrison, 2011). A major contributing factor common to these failures is that the programs tried to do too much at once: they used a big - bang ...requirements in a single, big - bang approach. MDAPs take 10 to 15 years from Milestone A to initial operational capability, with many of the largest...2013). The block upgrade model for B-52, F-15, and F-16 proved successful over decades, yet with its big - bang structure the F-35 program is

Relations between Behavioral Inhibition, Big Five Personality Factors, and Anxiety Disorder Symptoms in Non-Clinical and Clinically Anxious Children

ERIC Educational Resources Information Center

Vreeke, Leonie J.; Muris, Peter

2012-01-01

This study examined the relations between behavioral inhibition, Big Five personality traits, and anxiety disorder symptoms in non-clinical children (n = 147) and clinically anxious children (n = 45) aged 6-13 years. Parents completed the Behavioral Inhibition Questionnaire-Short Form, the Big Five Questionnaire for Children, and the Screen for…

Analyzing Big Data in Psychology: A Split/Analyze/Meta-Analyze Approach

PubMed Central

Cheung, Mike W.-L.; Jak, Suzanne

2016-01-01

Big data is a field that has traditionally been dominated by disciplines such as computer science and business, where mainly data-driven analyses have been performed. Psychology, a discipline in which a strong emphasis is placed on behavioral theories and empirical research, has the potential to contribute greatly to the big data movement. However, one challenge to psychologists—and probably the most crucial one—is that most researchers may not have the necessary programming and computational skills to analyze big data. In this study we argue that psychologists can also conduct big data research and that, rather than trying to acquire new programming and computational skills, they should focus on their strengths, such as performing psychometric analyses and testing theories using multivariate analyses to explain phenomena. We propose a split/analyze/meta-analyze approach that allows psychologists to easily analyze big data. Two real datasets are used to demonstrate the proposed procedures in R. A new research agenda related to the analysis of big data in psychology is outlined at the end of the study. PMID:27242639

Analyzing Big Data in Psychology: A Split/Analyze/Meta-Analyze Approach.

PubMed

Cheung, Mike W-L; Jak, Suzanne

2016-01-01

Big data is a field that has traditionally been dominated by disciplines such as computer science and business, where mainly data-driven analyses have been performed. Psychology, a discipline in which a strong emphasis is placed on behavioral theories and empirical research, has the potential to contribute greatly to the big data movement. However, one challenge to psychologists-and probably the most crucial one-is that most researchers may not have the necessary programming and computational skills to analyze big data. In this study we argue that psychologists can also conduct big data research and that, rather than trying to acquire new programming and computational skills, they should focus on their strengths, such as performing psychometric analyses and testing theories using multivariate analyses to explain phenomena. We propose a split/analyze/meta-analyze approach that allows psychologists to easily analyze big data. Two real datasets are used to demonstrate the proposed procedures in R. A new research agenda related to the analysis of big data in psychology is outlined at the end of the study.

The HEXACO Model of Personality and Risky Driving Behavior.

PubMed

Burtăverde, Vlad; Chraif, Mihaela; Aniţei, Mihai; Dumitru, Daniela

2017-04-01

This research tested the association between the HEXACO personality model and risky driving behavior as well as the predictive power of the HEXACO model in explaining risky driving behavior compared with the Big Five model. In Sample 1, 227 undergraduate students completed measures of the HEXACO personality model, the Big Five model, and driving aggression. In Sample 2, 244 community respondents completed measures of the HEXACO personality model, the Big Five model, and driving styles. Results showed that the Honesty-Humility factor is an important addition to personality models that aim to explain risky driving behavior as being related to all forms of driving aggression as well as to maladaptive and adaptive driving styles and having incremental validity in predicting verbally aggressive expression, risky driving, high-velocity driving, and careful driving. Moreover, compared with the Big Five model, the HEXACO model had better predictive power of aggressive driving.

Software Architecture for Big Data Systems

DTIC Science & Technology

2014-03-27

Software Architecture: Trends and New Directions #SEIswArch © 2014 Carnegie Mellon University Software Architecture for Big Data Systems...AND SUBTITLE Software Architecture for Big Data Systems 5a. CONTRACT NUMBER 5b. GRANT NUMBER 5c. PROGRAM ELEMENT NUMBER 6. AUTHOR(S) 5d. PROJECT...ih - . Software Architecture: Trends and New Directions #SEIswArch © 2014 Carnegie Mellon University WHAT IS BIG DATA ? FROM A SOFTWARE

Big Math for Little Kids

ERIC Educational Resources Information Center

Greenes, Carole; Ginsburg, Herbert P.; Balfanz, Robert

2004-01-01

"Big Math for Little Kids," a comprehensive program for 4- and 5-year-olds, develops and expands on the mathematics that children know and are capable of doing. The program uses activities and stories to develop ideas about number, shape, pattern, logical reasoning, measurement, operations on numbers, and space. The activities introduce the…

50 CFR 86.10 - What does this regulation do?

Code of Federal Regulations, 2010 CFR

2010-10-01

... 50 Wildlife and Fisheries 6 2010-10-01 2010-10-01 false What does this regulation do? 86.10... (CONTINUED) FINANCIAL ASSISTANCE-WILDLIFE SPORT FISH RESTORATION PROGRAM BOATING INFRASTRUCTURE GRANT (BIG... Boating Infrastructure Grant (BIG) Program. “We” and “us” refers to the Fish and Wildlife Service. This...

High School Teen Mentoring Handbook

ERIC Educational Resources Information Center

Alberta Advanced Education and Technology, 2009

2009-01-01

Big Brothers Big Sisters Edmonton & Area, in partnership with Alberta Advanced Education and Technology, are providing the High School Teen Mentoring Program, a school-based mentoring program where mentor-mentee matches meet for one hour per week to engage in relationship-building activities at an elementary school. This initiative aims to…

The Big Sky inside

ERIC Educational Resources Information Center

Adams, Earle; Ward, Tony J.; Vanek, Diana; Marra, Nancy; Hester, Carolyn; Knuth, Randy; Spangler, Todd; Jones, David; Henthorn, Melissa; Hammill, Brock; Smith, Paul; Salisbury, Rob; Reckin, Gene; Boulafentis, Johna

2009-01-01

The University of Montana (UM)-Missoula has implemented a problem-based program in which students perform scientific research focused on indoor air pollution. The Air Toxics Under the Big Sky program (Jones et al. 2007; Adams et al. 2008; Ward et al. 2008) provides a community-based framework for understanding the complex relationship between poor…

Big Programs from a Small State: Less Commonly Taught Languages Find Their Home in Delaware Elementary Schools

ERIC Educational Resources Information Center

Fulkerson, Gregory

2009-01-01

This article describes three big programs from Delaware where the less commonly taught languages find their home in Delaware elementary schools. Odyssey Charter School, located in Wilmington, is one of the very few Greek-language-focused public schools in the nation. The school began in 2006 as a Greek immersion program that concentrated on the…

Using the Big Six Research Process. The Coconut Crab from Guam and Other Stories: Writing Myths, Fables, and Tall Tales.

ERIC Educational Resources Information Center

Jansen, Barbara A.; Culpepper, Susan N.

1996-01-01

Using the Big Six research process, students at Live Oak Elementary (Round Rock, TX) supplemented information from traditional print and electronic sources with e-mail exchanges around the world to complete a library research collaborative project culminating in an original folk tale. Describes the Big Six process and how it was applied. (PEN)

ETV Program Report: Big Fish Septage and High Strength Waste Water Treatment System

EPA Science Inventory

Verification testing of the Big Fish Environmental Septage and High Strength Wastewater Processing System for treatment of high-strength wastewater was conducted at the Big Fish facility in Charlevoix, Michigan. Testing was conducted over a 13-month period to address different c...

Fall 2014 Data-Intensive Systems

DTIC Science & Technology

2014-10-29

Oct 2014 © 2014 Carnegie Mellon University Big Data Systems NoSQL and horizontal scaling are changing architecture principles by creating...University Status LEAP4BD • Ready to pilot QuABase • Prototype is complete – covers 8 NoSQL /NewSQL implementations • Completing validation testing Big...machine learning to automate population of knowledge base • Initial focus on NoSQL /NewSQL technology domain • Extend to create knowledge bases in other

The complete mitochondrial genome of the cryptic "lineage B" big-fin reef squid, Sepioteuthis lessoniana (Cephalopoda: Loliginidae) in Indo-West Pacific.

PubMed

Shen, Kang-Ning; Yen, Ta-Chi; Chen, Ching-Hung; Ye, Jeng-Jia; Hsiao, Chung-Der

2016-05-01

In this study, the complete mitogenome sequence of the cryptic "lineage B" big-fin reef squid, Sepioteuthis lessoniana (Cephalopoda: Loliginidae) has been sequenced by next-generation sequencing method. The assembled mitogenome consisting of 16,694 bp, includes 13 protein coding genes, 25 transfer RNAs, 2 ribosomal RNAs genes. The overall base composition of "lineage B" S. lessoniana is 36.7% for A, 18.9 % for C, 34.5 % for T and 9.8 % for G and show 90% identities to "lineage C" S. lessoniana. It is also exhibits high T + A content (71.2%), two non-coding regions with TA tandem repeats. The complete mitogenome of the cryptic "lineage B" S. lessoniana provides essential and important DNA molecular data for further phylogeography and evolutionary analysis for big-fin reef squid species complex.

The complete mitochondrial genome of the cryptic "lineage A" big-fin reef squid, Sepioteuthis lessoniana (Cephalopoda: Loliginidae) in Indo-West Pacific.

PubMed

Hsiao, Chung-Der; Shen, Kang-Ning; Ching, Tzu-Yun; Wang, Ya-Hsien; Ye, Jeng-Jia; Tsai, Shiou-Yi; Wu, Shan-Chun; Chen, Ching-Hung; Wang, Chia-Hui

2016-07-01

In this study, the complete mitogenome sequence of the cryptic "lineage A" big-fin reef squid, Sepioteuthis lessoniana (Cephalopoda: Loliginidae) has been sequenced by the next-generation sequencing method. The assembled mitogenome consists of 16,605 bp, which includes 13 protein-coding genes, 22 transfer RNAs, and 2 ribosomal RNAs genes. The overall base composition of "lineage A" S. lessoniana is 37.5% for A, 17.4% for C, 9.1% for G, and 35.9% for T and shows 87% identities to "lineage C" S. lessoniana. It is also noticed by its high T + A content (73.4%), two non-coding regions with TA tandem repeats. The complete mitogenome of the cryptic "lineage A" S. lessoniana provides essential and important DNA molecular data for further phylogeography and evolutionary analysis for big-fin reef squid species complex.

First Born amplitude for transitions from a circular state to a state of large (l, m)

NASA Astrophysics Data System (ADS)

Dewangan, D. P.

2005-01-01

The use of cylindrical polar coordinates instead of the conventional spherical polar coordinates enables us to derive compact expressions of the first Born amplitude for some selected sets of transitions from an arbitrary initial circular \\big|\\psi_{n_i,n_i-1,n_i-1}\\big\\rangle state to a final \\big|\\psi_{n_f,l_f,m_f}\\big\\rangle state of large (lf, mf). The formulae for \\big|\\psi_{n_i,n_i-1,n_i-1}\\big\\rangle \\longrightarrow \\big|\\psi_{n_f,n_f-1,n_f-2}\\big\\rangle and \\big|\\psi_{n_i,n_i-1,n_i-1}\\big\\rangle \\longrightarrow \\big|\\psi_{n_f,n_f-1,n_f-3}\\big\\rangle transitions are expressed in terms of the Jacobi polynomials which serve as suitable starting points for constructing complete solutions over the bound energy levels of hydrogen-like atoms. The formulae for \\big|\\psi_{n_i,n_i-1,n_i-1}\\big\\rangle \\longrightarrow \\big|\\psi_{n_f,n_f-1,-(n_f-2)}\\big\\rangle and \\big|\\psi_{n_i,n_i-1,n_i-1}\\big\\rangle \\longrightarrow \\big|\\psi_{n_f,n_f-1,-(n_f-3)}\\big\\rangle transitions are in simple algebraic forms and are directly applicable to all possible values of ni and nf. It emerges that the method can be extended to evaluate the first Born amplitude for many other transitions involving states of large (l, m).

Performance and scalability evaluation of "Big Memory" on Blue Gene Linux.

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

Yoshii, K.; Iskra, K.; Naik, H.

2011-05-01

We address memory performance issues observed in Blue Gene Linux and discuss the design and implementation of 'Big Memory' - an alternative, transparent memory space introduced to eliminate the memory performance issues. We evaluate the performance of Big Memory using custom memory benchmarks, NAS Parallel Benchmarks, and the Parallel Ocean Program, at a scale of up to 4,096 nodes. We find that Big Memory successfully resolves the performance issues normally encountered in Blue Gene Linux. For the ocean simulation program, we even find that Linux with Big Memory provides better scalability than does the lightweight compute node kernel designed solelymore » for high-performance applications. Originally intended exclusively for compute node tasks, our new memory subsystem dramatically improves the performance of certain I/O node applications as well. We demonstrate this performance using the central processor of the LOw Frequency ARray radio telescope as an example.« less

Challenges and potential solutions for big data implementations in developing countries.

PubMed

Luna, D; Mayan, J C; García, M J; Almerares, A A; Househ, M

2014-08-15

The volume of data, the velocity with which they are generated, and their variety and lack of structure hinder their use. This creates the need to change the way information is captured, stored, processed, and analyzed, leading to the paradigm shift called Big Data. To describe the challenges and possible solutions for developing countries when implementing Big Data projects in the health sector. A non-systematic review of the literature was performed in PubMed and Google Scholar. The following keywords were used: "big data", "developing countries", "data mining", "health information systems", and "computing methodologies". A thematic review of selected articles was performed. There are challenges when implementing any Big Data program including exponential growth of data, special infrastructure needs, need for a trained workforce, need to agree on interoperability standards, privacy and security issues, and the need to include people, processes, and policies to ensure their adoption. Developing countries have particular characteristics that hinder further development of these projects. The advent of Big Data promises great opportunities for the healthcare field. In this article, we attempt to describe the challenges developing countries would face and enumerate the options to be used to achieve successful implementations of Big Data programs.

High School Mentors in Brief: Findings from the Big Brothers Big Sisters School-Based Mentoring Impact Study. P/PV In Brief. Issue 8

ERIC Educational Resources Information Center

Jucovy, Linda; Herrera, Carla

2009-01-01

This issue of "Public/Private Ventures (P/PV) In Brief" is based on "High School Students as Mentors," a report that examined the efficacy of high school mentors using data from P/PV's large-scale random assignment impact study of Big Brothers Big Sisters school-based mentoring programs. The brief presents an overview of the findings, which…

Curriculum: Big Decisions--Making Healthy, Informed Choices about Sex

ERIC Educational Resources Information Center

Davis, Melanie

2009-01-01

Big Decisions is a 10-lesson abstinence-plus curriculum for ages 12-18 that emphasizes sex as a big decision, abstinence as the healthiest choice, and the mandate that sexually active teens use condoms and be tested for sexually transmitted diseases. This program can be implemented with limited resources and facilitator training when abstinence…

The Big Read: Case Studies

ERIC Educational Resources Information Center

National Endowment for the Arts, 2009

2009-01-01

The Big Read evaluation included a series of 35 case studies designed to gather more in-depth information on the program's implementation and impact. The case studies gave readers a valuable first-hand look at The Big Read in context. Both formal and informal interviews, focus groups, attendance at a wide range of events--all showed how…

School-Based Mentoring Programs: Using Volunteers to Improve the Academic Outcomes of Underserved Students

ERIC Educational Resources Information Center

Bayer, Amanda; Grossman, Jean Baldwin; DuBois, David L.

2013-01-01

Previous research suggests that school-based mentoring programs like those offered by Big Brothers Big Sisters of America (BBBSA) yield small but statistically significant improvements in the academic performance of mentored students and in their beliefs in their own scholastic efficacy. The present study uses data from a randomized control trial…

Big Data Provenance: Challenges, State of the Art and Opportunities.

PubMed

Wang, Jianwu; Crawl, Daniel; Purawat, Shweta; Nguyen, Mai; Altintas, Ilkay

2015-01-01

Ability to track provenance is a key feature of scientific workflows to support data lineage and reproducibility. The challenges that are introduced by the volume, variety and velocity of Big Data, also pose related challenges for provenance and quality of Big Data, defined as veracity. The increasing size and variety of distributed Big Data provenance information bring new technical challenges and opportunities throughout the provenance lifecycle including recording, querying, sharing and utilization. This paper discusses the challenges and opportunities of Big Data provenance related to the veracity of the datasets themselves and the provenance of the analytical processes that analyze these datasets. It also explains our current efforts towards tracking and utilizing Big Data provenance using workflows as a programming model to analyze Big Data.

Body image and personality: associations between the Big Five Personality Factors, actual-ideal weight discrepancy, and body appreciation.

PubMed

Swami, Viren; Tran, Ulrich S; Brooks, Louise Hoffmann; Kanaan, Laura; Luesse, Ellen-Marlene; Nader, Ingo W; Pietschnig, Jakob; Stieger, Stefan; Voracek, Martin

2013-04-01

Studies have suggested associations between personality dimensions and body image constructs, but these have not been conclusively established. In two studies, we examined direct associations between the Big Five dimensions and two body image constructs, actual-ideal weight discrepancy and body appreciation. In Study 1, 950 women completed measures of both body image constructs and a brief measure of the Big Five dimensions. In Study 2,339 women completed measures of the body image constructs and a more reliable measure of the Big Five. Both studies showed that Neuroticism was significantly associated with actual-ideal weight discrepancy (positively) and body appreciation (negatively) once the effects of body mass index and social status had been accounted for. These results are consistent with the suggestion that Neuroticism is a trait of public health significance requiring attention by body image scholars. © 2012 The Authors. Scandinavian Journal of Psychology © 2012 The Scandinavian Psychological Associations.

Lexical Link Analysis Application: Improving Web Service to Acquisition Visibility Portal Phase III

DTIC Science & Technology

2015-04-30

It is a supervised learning method but best for Big Data with low dimensions. It is an approximate inference good for Big Data and Hadoop ...Each process produces large amounts of information ( Big Data ). There is a critical need for automation, validation, and discovery to help acquisition...can inform managers where areas might have higher program risk and how resource and big data management might affect the desired return on investment

Development of Competency-Based Articulated Automotive Program. Big Bend Community College and Area High Schools. Final Report.

ERIC Educational Resources Information Center

Buche, Fred; Cox, Charles

A competency-based automotive mechanics curriculum was developed at Big Bend Community College (Washington) in order to provide the basis for an advanced placement procedure for high school graduates and experienced adults through a competency assessment. In order to create the curriculum, Big Bend Community College automotive mechanics…

Challenges and Potential Solutions for Big Data Implementations in Developing Countries

PubMed Central

Mayan, J.C; García, M.J.; Almerares, A.A.; Househ, M.

2014-01-01

Summary Background The volume of data, the velocity with which they are generated, and their variety and lack of structure hinder their use. This creates the need to change the way information is captured, stored, processed, and analyzed, leading to the paradigm shift called Big Data. Objectives To describe the challenges and possible solutions for developing countries when implementing Big Data projects in the health sector. Methods A non-systematic review of the literature was performed in PubMed and Google Scholar. The following keywords were used: “big data”, “developing countries”, “data mining”, “health information systems”, and “computing methodologies”. A thematic review of selected articles was performed. Results There are challenges when implementing any Big Data program including exponential growth of data, special infrastructure needs, need for a trained workforce, need to agree on interoperability standards, privacy and security issues, and the need to include people, processes, and policies to ensure their adoption. Developing countries have particular characteristics that hinder further development of these projects. Conclusions The advent of Big Data promises great opportunities for the healthcare field. In this article, we attempt to describe the challenges developing countries would face and enumerate the options to be used to achieve successful implementations of Big Data programs. PMID:25123719

[Adherence and fidelity in patients treated with intragastric balloon].

PubMed

Mazure, R A; Cancer, E; Martínez Olmos, M A; De Castro, M L; Abilés, V; Abilés, J; Bretón, I; Álvarez, V; Peláez, N; Culebras, J M

2014-01-01

A correct treatment of obesity needs a program of habits modification regardless of the selected technique, especially if it is minimally invasive as the intragastric balloon (BIG). The adherence of the obese patients with regard to recommended drugs measures to medium- and long-term is less than 50%. Given that the results obtained using the technique of gastric balloon must be seen influenced by adherence to the modification of habits program and its fulfillment, we reviewed series published in attention to the program proposed with the BIG. The series published to date provide few details about the used Therapeutic Programs as well as the adherence of patients to them, and even less concerning the Monitoring Plan and the loyalty of the patient can be seen. We conclude the convenience to agree on a follow-up strategy, at least the 6 months during which the BIG remain in the stomach.

78 FR 5483 - Endangered and Threatened Wildlife and Plants; Permit Applications

Federal Register 2010, 2011, 2012, 2013, 2014

2013-01-25

.... Submit your written data, comments, or request for a copy of the complete application to the address... Indiana bat (Myotis sodalis), gray bat (Myotis grisescens), Virginia big-eared bat (Corynorhinus townsendii virginianus), Ozark big-eared bat (Corynorhinus townsendii ingens), and American burying beetle...

Short-term regeneration dynamics of Wyoming big sagebrush at two sites in northern Utah

USDA-ARS?s Scientific Manuscript database

The herbicide tebuthiuron has been used historically to control cover of Wyoming big sagebrush (Artemisia tridentata ssp. wyomingensis - complete taxonomic designation), a widespread shrub across the western United States, with the intent of increasing herbaceous plant cover. Although the tebuthiur...

Big Men on Campus: Administrative Response to Title IX and the Development of Women's Sports in the Big Ten Conference, 1972-1982

ERIC Educational Resources Information Center

Ramsey, Jeffrey T.

2014-01-01

Signed into law in 1972, Title IX of the Education Amendments was designed to eliminate gender discrimination throughout the American educational system. Title IX applied to all educational programs at any level of schooling including admissions, financial aid, academic programs, and social organizations. However, Title IX has primarily been…

Big Data Provenance: Challenges, State of the Art and Opportunities

PubMed Central

Wang, Jianwu; Crawl, Daniel; Purawat, Shweta; Nguyen, Mai; Altintas, Ilkay

2017-01-01

Ability to track provenance is a key feature of scientific workflows to support data lineage and reproducibility. The challenges that are introduced by the volume, variety and velocity of Big Data, also pose related challenges for provenance and quality of Big Data, defined as veracity. The increasing size and variety of distributed Big Data provenance information bring new technical challenges and opportunities throughout the provenance lifecycle including recording, querying, sharing and utilization. This paper discusses the challenges and opportunities of Big Data provenance related to the veracity of the datasets themselves and the provenance of the analytical processes that analyze these datasets. It also explains our current efforts towards tracking and utilizing Big Data provenance using workflows as a programming model to analyze Big Data. PMID:29399671

Explaining variance in self-directed learning readiness of first year students in health professional programs.

PubMed

Slater, Craig E; Cusick, Anne; Louie, Jimmy C Y

2017-11-13

Self-directed learning (SDL) is expected of health science graduates; it is thus a learning outcome in many pre-certification programs. Previous research identified age, gender, discipline and prior education as associated with variations in students' self-directed learning readiness (SDLR). Studies in other fields also propose personality as influential. This study investigated relationships between SDLR and age, gender, discipline, previous education, and personality traits. The Self-Directed Learning Readiness Scale and the 50-item 'big five' personality trait inventory were administered to 584 first-year undergraduate students (n = 312 female) enrolled in a first-session undergraduate interprofessional health sciences subject. Students were from health promotion, health services management, therapeutic recreation, sports and exercise science, occupational therapy, physiotherapy, and podiatry. Four hundred and seven responses (n = 230 females) were complete. SDLR was significantly higher in females and students in occupational therapy and physiotherapy. SDLR increased with age and higher levels of previous education. It was also significantly associated with 'big five' personality trait scores. Regression analysis revealed 52.9% of variance was accounted for by personality factors, discipline and prior experience of tertiary education. Demographic, discipline and personality factors are associated with SDLR in the first year of study. Teachers need to be alert to individual student variation in SDLR.

Survey of Cyber Crime in Big Data

NASA Astrophysics Data System (ADS)

Rajeswari, C.; Soni, Krishna; Tandon, Rajat

2017-11-01

Big data is like performing computation operations and database operations for large amounts of data, automatically from the data possessor’s business. Since a critical strategic offer of big data access to information from numerous and various areas, security and protection will assume an imperative part in big data research and innovation. The limits of standard IT security practices are notable, with the goal that they can utilize programming sending to utilize programming designers to incorporate pernicious programming in a genuine and developing risk in applications and working frameworks, which are troublesome. The impact gets speedier than big data. In this way, one central issue is that security and protection innovation are sufficient to share controlled affirmation for countless direct get to. For powerful utilization of extensive information, it should be approved to get to the information of that space or whatever other area from a space. For a long time, dependable framework improvement has arranged a rich arrangement of demonstrated ideas of demonstrated security to bargain to a great extent with the decided adversaries, however this procedure has been to a great extent underestimated as “needless excess” and sellers In this discourse, essential talks will be examined for substantial information to exploit this develop security and protection innovation, while the rest of the exploration difficulties will be investigated.

Do the Big-Five Personality Traits Predict Empathic Listening and Assertive Communication?

ERIC Educational Resources Information Center

Sims, Ceri M.

2017-01-01

As personality traits can influence important social outcomes, the current research investigated whether the Big-Five had predictive influences on communication competences of active-empathic listening (AEL) and assertiveness. A sample of 245 adults of various ages completed the self-report scales. Both Agreeableness and Openness uniquely…

Protestant Ethic Endorsement, Personality, and General Intelligence

ERIC Educational Resources Information Center

Christopher, Andrew N.; Furnham, Adrian; Batey, Mark; Martin, G. Neil; Koenig, Cynthia S.; Doty, Kristin

2010-01-01

To learn if Protestant ethic endorsement predicted intelligence controlling for the big five personality factors, 364 college students from England and the United States completed a 65-item multifaceted work ethic endorsement measure, the 50-item Wonderlic Personnel Test, and a 60-item measure of the big five personality factors. A hierarchical…

The Big Fish Down Under: Examining Moderators of the "Big-Fish-Little-Pond" Effect for Australia's High Achievers

ERIC Educational Resources Information Center

Seaton, Marjorie; Marsh, Herbert W.; Yeung, Alexander Seeshing; Craven, Rhonda

2011-01-01

Big-fish-little-pond effect (BFLPE) research has demonstrated that academic self-concept is negatively affected by attending high-ability schools. This article examines data from large, representative samples of 15-year-olds from each Australian state, based on the three Program for International Student Assessment (PISA) databases that focus on…

[Medical big data and precision medicine: prospects of epidemiology].

PubMed

Song, J; Hu, Y H

2016-08-10

Since the development of high-throughput technology, electronic medical record system and big data technology, the value of medical data has caused more attention. On the other hand, the proposal of Precision Medicine Initiative opens up the prospect for medical big data. As a Tool-related Discipline, Epidemiology is, focusing on exploitation the resources of existing big data and promoting the integration of translational research and knowledge to completely unlocking the "black box" of exposure-disease continuum. It also tries to accelerating the realization of the ultimate goal on precision medicine. The overall purpose, however is to translate the evidence from scientific research to improve the health of the people.

Big bang photosynthesis and pregalactic nucleosynthesis of light elements

NASA Technical Reports Server (NTRS)

Audouze, J.; Lindley, D.; Silk, J.

1985-01-01

Two nonstandard scenarios for pregalactic synthesis of the light elements (H-2, He-3, He-4, and Li-7) are developed. Big bang photosynthesis occurs if energetic photons, produced by the decay of massive neutrinos or gravitinos, partially photodisintegrate He-4 (formed in the standard hot big bang) to produce H-2 and He-3. In this case, primordial nucleosynthesis no longer constrains the baryon density of the universe, or the number of neutrino species. Alternatively, one may dispense partially or completely with the hot big bang and produce the light elements by bombardment of primordial gas, provided that He-4 is synthesized by a later generation of massive stars.

Where Are the Logical Errors in the Theory of Big Bang?

NASA Astrophysics Data System (ADS)

Kalanov, Temur Z.

2015-04-01

The critical analysis of the foundations of the theory of Big Bang is proposed. The unity of formal logic and of rational dialectics is methodological basis of the analysis. It is argued that the starting point of the theory of Big Bang contains three fundamental logical errors. The first error is the assumption that a macroscopic object (having qualitative determinacy) can have an arbitrarily small size and can be in the singular state (i.e., in the state that has no qualitative determinacy). This assumption implies that the transition, (macroscopic object having the qualitative determinacy) --> (singular state of matter that has no qualitative determinacy), leads to loss of information contained in the macroscopic object. The second error is the assumption that there are the void and the boundary between matter and void. But if such boundary existed, then it would mean that the void has dimensions and can be measured. The third error is the assumption that the singular state of matter can make a transition into the normal state without the existence of the program of qualitative and quantitative development of the matter, without controlling influence of other (independent) object. However, these assumptions conflict with the practice and, consequently, formal logic, rational dialectics, and cybernetics. Indeed, from the point of view of cybernetics, the transition, (singular state of the Universe) -->(normal state of the Universe),would be possible only in the case if there was the Managed Object that is outside the Universe and have full, complete, and detailed information about the Universe. Thus, the theory of Big Bang is a scientific fiction.

Big data uncertainties.

PubMed

Maugis, Pierre-André G

2018-07-01

Big data-the idea that an always-larger volume of information is being constantly recorded-suggests that new problems can now be subjected to scientific scrutiny. However, can classical statistical methods be used directly on big data? We analyze the problem by looking at two known pitfalls of big datasets. First, that they are biased, in the sense that they do not offer a complete view of the populations under consideration. Second, that they present a weak but pervasive level of dependence between all their components. In both cases we observe that the uncertainty of the conclusion obtained by statistical methods is increased when used on big data, either because of a systematic error (bias), or because of a larger degree of randomness (increased variance). We argue that the key challenge raised by big data is not only how to use big data to tackle new problems, but to develop tools and methods able to rigorously articulate the new risks therein. Copyright © 2016. Published by Elsevier Ltd.

Review of Three Recent Randomized Trials of School-Based Mentoring: Making Sense of Mixed Findings. Social Policy Report. Volume 24, Number 3

ERIC Educational Resources Information Center

Wheeler, Marc E.; Keller, Thomas E.; DuBois, David L.

2010-01-01

Between 2007 and 2009, reports were released on the results of three separate large-scale random assignment studies of the effectiveness of school-based mentoring programs for youth. The studies evaluated programs implemented by Big Brothers Big Sisters of America (BBBSA) affiliates (Herrera et al., 2007), Communities In Schools of San Antonio,…

Forget the hype or reality. Big data presents new opportunities in Earth Science.

NASA Astrophysics Data System (ADS)

Lee, T. J.

2015-12-01

Earth science is arguably one of the most mature science discipline which constantly acquires, curates, and utilizes a large volume of data with diverse variety. We deal with big data before there is big data. For example, while developing the EOS program in the 1980s, the EOS data and information system (EOSDIS) was developed to manage the vast amount of data acquired by the EOS fleet of satellites. EOSDIS continues to be a shining example of modern science data systems in the past two decades. With the explosion of internet, the usage of social media, and the provision of sensors everywhere, the big data era has bring new challenges. First, Goggle developed the search algorithm and a distributed data management system. The open source communities quickly followed up and developed Hadoop file system to facility the map reduce workloads. The internet continues to generate tens of petabytes of data every day. There is a significant shortage of algorithms and knowledgeable manpower to mine the data. In response, the federal government developed the big data programs that fund research and development projects and training programs to tackle these new challenges. Meanwhile, comparatively to the internet data explosion, Earth science big data problem has become quite small. Nevertheless, the big data era presents an opportunity for Earth science to evolve. We learned about the MapReduce algorithms, in memory data mining, machine learning, graph analysis, and semantic web technologies. How do we apply these new technologies to our discipline and bring the hype to Earth? In this talk, I will discuss how we might want to apply some of the big data technologies to our discipline and solve many of our challenging problems. More importantly, I will propose new Earth science data system architecture to enable new type of scientific inquires.

BigDataScript: a scripting language for data pipelines.

PubMed

Cingolani, Pablo; Sladek, Rob; Blanchette, Mathieu

2015-01-01

The analysis of large biological datasets often requires complex processing pipelines that run for a long time on large computational infrastructures. We designed and implemented a simple script-like programming language with a clean and minimalist syntax to develop and manage pipeline execution and provide robustness to various types of software and hardware failures as well as portability. We introduce the BigDataScript (BDS) programming language for data processing pipelines, which improves abstraction from hardware resources and assists with robustness. Hardware abstraction allows BDS pipelines to run without modification on a wide range of computer architectures, from a small laptop to multi-core servers, server farms, clusters and clouds. BDS achieves robustness by incorporating the concepts of absolute serialization and lazy processing, thus allowing pipelines to recover from errors. By abstracting pipeline concepts at programming language level, BDS simplifies implementation, execution and management of complex bioinformatics pipelines, resulting in reduced development and debugging cycles as well as cleaner code. BigDataScript is available under open-source license at http://pcingola.github.io/BigDataScript. © The Author 2014. Published by Oxford University Press.

BigDataScript: a scripting language for data pipelines

PubMed Central

Cingolani, Pablo; Sladek, Rob; Blanchette, Mathieu

2015-01-01

Motivation: The analysis of large biological datasets often requires complex processing pipelines that run for a long time on large computational infrastructures. We designed and implemented a simple script-like programming language with a clean and minimalist syntax to develop and manage pipeline execution and provide robustness to various types of software and hardware failures as well as portability. Results: We introduce the BigDataScript (BDS) programming language for data processing pipelines, which improves abstraction from hardware resources and assists with robustness. Hardware abstraction allows BDS pipelines to run without modification on a wide range of computer architectures, from a small laptop to multi-core servers, server farms, clusters and clouds. BDS achieves robustness by incorporating the concepts of absolute serialization and lazy processing, thus allowing pipelines to recover from errors. By abstracting pipeline concepts at programming language level, BDS simplifies implementation, execution and management of complex bioinformatics pipelines, resulting in reduced development and debugging cycles as well as cleaner code. Availability and implementation: BigDataScript is available under open-source license at http://pcingola.github.io/BigDataScript. Contact: pablo.e.cingolani@gmail.com PMID:25189778

Introducing Public Libraries to The Big Read: Final Report on the Audio Guide Distribution

ERIC Educational Resources Information Center

Sloan, Kay; Randall, Michelle

2009-01-01

In July 2008, over 14,000 public libraries throughout the U.S. received, free of charge, a set of fourteen Audio Guides introducing them to The Big Read. Since 2007, when the National Endowment for the Arts and the Institute of Museum and Library Services, in partnership with Arts Midwest, debuted The Big Read, the program has awarded grants to…

Airport Revenues: McMahon-Wrinkle Airpark; Big Spring, Texas

DOT National Transportation Integrated Search

1997-11-21

Audit objectives were to determine whether the city of Big Spring, Texas : (city), was in compliance with the Federal Aviation Administration (FAA) Airport : Improvement Program grant assurances to ensure (i) fee and rental structures were maintained...

Leveraging Big Data in Pediatric Development Programs: Proceedings From the 2016 American College of Clinical Pharmacology Annual Meeting Symposium.

PubMed

Mulugeta, Lily Yeruk; Yao, Lynne; Mould, Diane; Jacobs, Brian; Florian, Jeffrey; Smith, Brian; Sinha, Vikram; Barrett, Jeffrey S

2018-01-10

This article discusses the use of big data in pediatric drug development. The article covers key topics discussed at the ACCP annual meeting symposium in 2016 including the extent to which big data or real-world data can inform clinical trial design and substitute for efficacy and safety data typically obtained in clinical trials. The current states of use, opportunities, and challenges with the use of big data in future pediatric drug development are discussed. © 2018 American Society for Clinical Pharmacology and Therapeutics.

Michael Eisenberg and Robert Berkowitz's Big6[TM] Information Problem-Solving Model.

ERIC Educational Resources Information Center

Carey, James O.

2003-01-01

Reviews the Big6 information problem-solving model. Highlights include benefits and dangers of the simplicity of the model; theories of instruction; testing of the model; the model as a process for completing research projects; and advice for school library media specialists considering use of the model. (LRW)

Big Hand Produces CD-I World Disc--First Title Authored Entirely with MediaMogul.

ERIC Educational Resources Information Center

Buckman, Brad; Grant, Valerie

1993-01-01

Discusses Big Hand Productions' development of CD-I-WORLD, an interactive multimedia magazine on compact disk, designed for mass appeal and complete with advertising. Features of MediaMogul, the prepackaged authoring software that made production of this innovation possible, are described. Sample screen displays are included. (EA)

The recognition of mental health disorders and its association with psychiatric scepticism, knowledge of psychiatry, and the Big Five personality factors: an investigation using the overclaiming technique.

PubMed

Swami, Viren; Persaud, Raj; Furnham, Adrian

2011-03-01

The present study examined the general public's ability to recognise mental health disorders and this ability's association with psychiatric scepticism, knowledge of psychiatry, and the Big Five personality factors. A total of 477 members of the British general public completed an overclaiming scale, in which they were asked to rate the degree to which they believed 20 mental health disorders (of which five were foils designed to resemble real disorders) were real or fake. Participants also completed a novel scale measuring psychiatric scepticism, a single-item measure of knowledge of psychiatry, and a measure of the Big Five personality factors. Results showed that participants were significantly more likely to rate foils as fake disorders than real disorders. In addition, the difference between real and foil ratings was significantly predicted by knowledge of psychiatry, psychiatric scepticism, and the Big Five personality factors of agreeableness and openness to experience. These results are discussed in relation to the overclaiming technique as a novel method to study mental health literacy.

Image Mosaicking Approach for a Double-Camera System in the GaoFen2 Optical Remote Sensing Satellite Based on the Big Virtual Camera.

PubMed

Cheng, Yufeng; Jin, Shuying; Wang, Mi; Zhu, Ying; Dong, Zhipeng

2017-06-20

The linear array push broom imaging mode is widely used for high resolution optical satellites (HROS). Using double-cameras attached by a high-rigidity support along with push broom imaging is one method to enlarge the field of view while ensuring high resolution. High accuracy image mosaicking is the key factor of the geometrical quality of complete stitched satellite imagery. This paper proposes a high accuracy image mosaicking approach based on the big virtual camera (BVC) in the double-camera system on the GaoFen2 optical remote sensing satellite (GF2). A big virtual camera can be built according to the rigorous imaging model of a single camera; then, each single image strip obtained by each TDI-CCD detector can be re-projected to the virtual detector of the big virtual camera coordinate system using forward-projection and backward-projection to obtain the corresponding single virtual image. After an on-orbit calibration and relative orientation, the complete final virtual image can be obtained by stitching the single virtual images together based on their coordinate information on the big virtual detector image plane. The paper subtly uses the concept of the big virtual camera to obtain a stitched image and the corresponding high accuracy rational function model (RFM) for concurrent post processing. Experiments verified that the proposed method can achieve seamless mosaicking while maintaining the geometric accuracy.

When the Big Fish Turns Small: Effects of Participating in Gifted Summer Programs on Academic Self-Concepts

ERIC Educational Resources Information Center

Dai, David Yun; Rinn, Anne N.; Tan, Xiaoyuan

2013-01-01

The purposes of this study were to (a) examine the presence and prevalence of the big-fish-little-pond effect (BFLPE) in summer programs for the gifted, (b) identify group and individual difference variables that help predict those who are more susceptible to the BFLPE, and (c) put the possible BFLPE on academic self-concept in a larger context of…

Big Data: Are Biomedical and Health Informatics Training Programs Ready?

PubMed Central

Hersh, W.; Ganesh, A. U. Jai

2014-01-01

Summary Objectives The growing volume and diversity of health and biomedical data indicate that the era of Big Data has arrived for healthcare. This has many implications for informatics, not only in terms of implementing and evaluating information systems, but also for the work and training of informatics researchers and professionals. This article addresses the question: What do biomedical and health informaticians working in analytics and Big Data need to know? Methods We hypothesize a set of skills that we hope will be discussed among academic and other informaticians. Results The set of skills includes: Programming - especially with data-oriented tools, such as SQL and statistical programming languages; Statistics - working knowledge to apply tools and techniques; Domain knowledge - depending on one’s area of work, bioscience or health care; and Communication - being able to understand needs of people and organizations, and articulate results back to them. Conclusions Biomedical and health informatics educational programs must introduce concepts of analytics, Big Data, and the underlying skills to use and apply them into their curricula. The development of new coursework should focus on those who will become experts, with training aiming to provide skills in “deep analytical talent” as well as those who need knowledge to support such individuals. PMID:25123740

Big Data: Are Biomedical and Health Informatics Training Programs Ready? Contribution of the IMIA Working Group for Health and Medical Informatics Education.

PubMed

Otero, P; Hersh, W; Jai Ganesh, A U

2014-08-15

The growing volume and diversity of health and biomedical data indicate that the era of Big Data has arrived for healthcare. This has many implications for informatics, not only in terms of implementing and evaluating information systems, but also for the work and training of informatics researchers and professionals. This article addresses the question: What do biomedical and health informaticians working in analytics and Big Data need to know? We hypothesize a set of skills that we hope will be discussed among academic and other informaticians. The set of skills includes: Programming - especially with data-oriented tools, such as SQL and statistical programming languages; Statistics - working knowledge to apply tools and techniques; Domain knowledge - depending on one's area of work, bioscience or health care; and Communication - being able to understand needs of people and organizations, and articulate results back to them. Biomedical and health informatics educational programs must introduce concepts of analytics, Big Data, and the underlying skills to use and apply them into their curricula. The development of new coursework should focus on those who will become experts, with training aiming to provide skills in "deep analytical talent" as well as those who need knowledge to support such individuals.

A genetic algorithm-based job scheduling model for big data analytics.

PubMed

Lu, Qinghua; Li, Shanshan; Zhang, Weishan; Zhang, Lei

Big data analytics (BDA) applications are a new category of software applications that process large amounts of data using scalable parallel processing infrastructure to obtain hidden value. Hadoop is the most mature open-source big data analytics framework, which implements the MapReduce programming model to process big data with MapReduce jobs. Big data analytics jobs are often continuous and not mutually separated. The existing work mainly focuses on executing jobs in sequence, which are often inefficient and consume high energy. In this paper, we propose a genetic algorithm-based job scheduling model for big data analytics applications to improve the efficiency of big data analytics. To implement the job scheduling model, we leverage an estimation module to predict the performance of clusters when executing analytics jobs. We have evaluated the proposed job scheduling model in terms of feasibility and accuracy.

SEAS (Surveillance Environmental Acoustic Support Program) Support

DTIC Science & Technology

1984-02-29

ASEPS software - Provide support for AMES - Support for OUTPOST CREOLE, BIG DIPPER and MFA , First, a summary of the tasks as delineated in the contract...addition, the contractor will provide an engineer/scientist to support the BIG DIPPER data processing activities at NOSC. Task 3: SEAS Inventory - The...SI to provide support to SEAS for the OUTPOST -’ CREOLE III exercise which followed immediately after the BIG DIPPER .. exercise. OUTPOST CREOLE III

How quantum is the big bang?

PubMed

Bojowald, Martin

2008-06-06

When quantum gravity is used to discuss the big bang singularity, the most important, though rarely addressed, question is what role genuine quantum degrees of freedom play. Here, complete effective equations are derived for isotropic models with an interacting scalar to all orders in the expansions involved. The resulting coupling terms show that quantum fluctuations do not affect the bounce much. Quantum correlations, however, do have an important role and could even eliminate the bounce. How quantum gravity regularizes the big bang depends crucially on properties of the quantum state.

Big6 Turbotools and Synthesis

ERIC Educational Resources Information Center

Tooley, Melinda

2005-01-01

The different tools that are helpful during the Synthesis stage, their role in boosting students abilities in Synthesis and the way in which it can be customized to meet the needs of each group of students are discussed. Big6 TurboTools offers several tools to help complete the task. In Synthesis stage, these same tools along with Turbo Report and…

A Uniqueness Result for Self-Similar Profiles to Smoluchowski's Coagulation Equation Revisited

NASA Astrophysics Data System (ADS)

Niethammer, B.; Throm, S.; Velázquez, J. J. L.

2016-07-01

In this note we indicate how to correct the proof of a uniqueness result in [6] for self-similar solutions to Smoluchowski's coagulation equation for kernels K=K(x,y) that are homogeneous of degree zero and close to constant in the sense that begin{aligned} -\\varepsilon le K(x,y)-2 le \\varepsilon Big ( Big (x/yBig )^{α } + Big (y/xBig )^{α }Big ) for α in [0,1/2). Under the additional assumption, in comparison to [6], that K has an analytic extension to mathbb {C}{setminus } (-infty ,0] and that the precise asymptotic behaviour of K at the origin is prescribed, we prove that self-similar solutions with given mass are unique if \\varepsilon is sufficiently small. The complete details of the proof are available in [4]. In addition, we give here the proof of a uniqueness result for a related but simpler problem that appears in the description of self-similar solutions for x → infty.

Culture and the Behavioral Manifestations of Traits: An Application of the Act Frequency Approach

PubMed Central

Church, A. Timothy; Katigbak, Marcia S.; Miramontes, Lilia G.; del Prado, Alicia M.

2009-01-01

The behavioral manifestations of Big Five traits were compared across cultures using the Act Frequency Approach. American (n = 176) and Filipino (n = 195) students completed a Big Five measure and act frequency ratings for behaviors performed during the past month. Acts for specific traits cohered to an equivalent degree across cultures. In both cultures, the structure of act composites resembled the Big Five and the strength of trait-behavior relationships was very similar. Many acts were multidimensional and analyses revealed cultural commonalities and differences in the relevance and prevalence of acts for the Big Five traits. The results were more consistent with trait than cultural psychology perspectives, because traits predicted behavior equally well, on average, in the two cultures. PMID:19865595

Lonely at the Top?

ERIC Educational Resources Information Center

Valdata, Patricia

2006-01-01

College or university presidents (or chancellors, depending on the institution) get paid the big bucks to worry about the big picture: capital campaigns, attracting and retaining students, creating and sustaining quality academic programs, shared governance. It's a demanding job even when everything goes well, but when problems arise, challenges…

Adapting bioinformatics curricula for big data.

PubMed

Greene, Anna C; Giffin, Kristine A; Greene, Casey S; Moore, Jason H

2016-01-01

Modern technologies are capable of generating enormous amounts of data that measure complex biological systems. Computational biologists and bioinformatics scientists are increasingly being asked to use these data to reveal key systems-level properties. We review the extent to which curricula are changing in the era of big data. We identify key competencies that scientists dealing with big data are expected to possess across fields, and we use this information to propose courses to meet these growing needs. While bioinformatics programs have traditionally trained students in data-intensive science, we identify areas of particular biological, computational and statistical emphasis important for this era that can be incorporated into existing curricula. For each area, we propose a course structured around these topics, which can be adapted in whole or in parts into existing curricula. In summary, specific challenges associated with big data provide an important opportunity to update existing curricula, but we do not foresee a wholesale redesign of bioinformatics training programs. © The Author 2015. Published by Oxford University Press.

Adapting bioinformatics curricula for big data

PubMed Central

Greene, Anna C.; Giffin, Kristine A.; Greene, Casey S.

2016-01-01

Modern technologies are capable of generating enormous amounts of data that measure complex biological systems. Computational biologists and bioinformatics scientists are increasingly being asked to use these data to reveal key systems-level properties. We review the extent to which curricula are changing in the era of big data. We identify key competencies that scientists dealing with big data are expected to possess across fields, and we use this information to propose courses to meet these growing needs. While bioinformatics programs have traditionally trained students in data-intensive science, we identify areas of particular biological, computational and statistical emphasis important for this era that can be incorporated into existing curricula. For each area, we propose a course structured around these topics, which can be adapted in whole or in parts into existing curricula. In summary, specific challenges associated with big data provide an important opportunity to update existing curricula, but we do not foresee a wholesale redesign of bioinformatics training programs. PMID:25829469

Harcourt Sale Would Spawn Big 3 of Texts: Deal May Make Houghton Leader in K-12 Publishing

ERIC Educational Resources Information Center

Trotter, Andrew; Manzo, Kathleen Kennedy

2007-01-01

Reed Elsevier's recently announced plans to spin off its Harcourt educational publishing divisions to the Houghton Mifflin Co. would complete a consolidation of most K-12 publishing in the United States into a new Big Three. If federal regulators allow the deal to go through, school districts that annually buy textbooks from the three…

Sexual Assault and Rape Perpetration by College Men: The Role of the Big Five Personality Traits

ERIC Educational Resources Information Center

Voller, Emily K.; Long, Patricia J.

2010-01-01

A sample of 521 college men completed the Revised NEO Personality Inventory and an expanded version of the Sexual Experiences Survey to examine whether variation in the Big Five personality traits in a normal, college population provides any insight into the nature of sexual assault and rape perpetrators. Rape perpetrators reported lower levels of…

Health and Big Data: An Ethical Framework for Health Information Collection by Corporate Wellness Programs.

PubMed

Ajunwa, Ifeoma; Crawford, Kate; Ford, Joel S

2016-09-01

This essay details the resurgence of wellness program as employed by large corporations with the aim of reducing healthcare costs. The essay narrows in on a discussion of how Big Data collection practices are being utilized in wellness programs and the potential negative impact on the worker in regards to privacy and employment discrimination. The essay offers an ethical framework to be adopted by wellness program vendors in order to conduct wellness programs that would achieve cost-saving goals without undue burdens on the worker. The essay also offers some innovative approaches to wellness that may well better serve the goals of healthcare cost reduction. © 2016 American Society of Law, Medicine & Ethics.

Native Perennial Forb Variation Between Mountain Big Sagebrush and Wyoming Big Sagebrush Plant Communities

NASA Astrophysics Data System (ADS)

Davies, Kirk W.; Bates, Jon D.

2010-09-01

Big sagebrush ( Artemisia tridentata Nutt.) occupies large portions of the western United States and provides valuable wildlife habitat. However, information is lacking quantifying differences in native perennial forb characteristics between mountain big sagebrush [ A. tridentata spp. vaseyana (Rydb.) Beetle] and Wyoming big sagebrush [ A. tridentata spp. wyomingensis (Beetle & A. Young) S.L. Welsh] plant communities. This information is critical to accurately evaluate the quality of habitat and forage that these communities can produce because many wildlife species consume large quantities of native perennial forbs and depend on them for hiding cover. To compare native perennial forb characteristics on sites dominated by these two subspecies of big sagebrush, we sampled 106 intact big sagebrush plant communities. Mountain big sagebrush plant communities produced almost 4.5-fold more native perennial forb biomass and had greater native perennial forb species richness and diversity compared to Wyoming big sagebrush plant communities ( P < 0.001). Nonmetric multidimensional scaling (NMS) and the multiple-response permutation procedure (MRPP) demonstrated that native perennial forb composition varied between these plant communities ( P < 0.001). Native perennial forb composition was more similar within plant communities grouped by big sagebrush subspecies than expected by chance ( A = 0.112) and composition varied between community groups ( P < 0.001). Indicator analysis did not identify any perennial forbs that were completely exclusive and faithful, but did identify several perennial forbs that were relatively good indicators of either mountain big sagebrush or Wyoming big sagebrush plant communities. Our results suggest that management plans and habitat guidelines should recognize differences in native perennial forb characteristics between mountain and Wyoming big sagebrush plant communities.

LSP 156, Low Power Embedded Analytics: FY15 Line Supported Information, Computation, and Exploitation Program

DTIC Science & Technology

2015-12-04

from back-office big - data analytics to fieldable hot-spot systems providing storage-processing-communication services for off- grid sensors. Speed...and power efficiency are the key metrics. Current state-of-the art approaches for big - data aim toward scaling out to many computers to meet...pursued within Lincoln Laboratory as well as external sponsors. Our vision is to bring new capabilities in big - data and internet-of-things applications

Commentary: Epidemiology in the era of big data.

PubMed

Mooney, Stephen J; Westreich, Daniel J; El-Sayed, Abdulrahman M

2015-05-01

Big Data has increasingly been promoted as a revolutionary development in the future of science, including epidemiology. However, the definition and implications of Big Data for epidemiology remain unclear. We here provide a working definition of Big Data predicated on the so-called "three V's": variety, volume, and velocity. From this definition, we argue that Big Data has evolutionary and revolutionary implications for identifying and intervening on the determinants of population health. We suggest that as more sources of diverse data become publicly available, the ability to combine and refine these data to yield valid answers to epidemiologic questions will be invaluable. We conclude that while epidemiology as practiced today will continue to be practiced in the Big Data future, a component of our field's future value lies in integrating subject matter knowledge with increased technical savvy. Our training programs and our visions for future public health interventions should reflect this future.

Epidemiology in the Era of Big Data

PubMed Central

Mooney, Stephen J; Westreich, Daniel J; El-Sayed, Abdulrahman M

2015-01-01

Big Data has increasingly been promoted as a revolutionary development in the future of science, including epidemiology. However, the definition and implications of Big Data for epidemiology remain unclear. We here provide a working definition of Big Data predicated on the so-called ‘3 Vs’: variety, volume, and velocity. From this definition, we argue that Big Data has evolutionary and revolutionary implications for identifying and intervening on the determinants of population health. We suggest that as more sources of diverse data become publicly available, the ability to combine and refine these data to yield valid answers to epidemiologic questions will be invaluable. We conclude that, while epidemiology as practiced today will continue to be practiced in the Big Data future, a component of our field’s future value lies in integrating subject matter knowledge with increased technical savvy. Our training programs and our visions for future public health interventions should reflect this future. PMID:25756221

Complete conformal classification of the Friedmann–Lemaître–Robertson–Walker solutions with a linear equation of state

NASA Astrophysics Data System (ADS)

Harada, Tomohiro; Carr, B. J.; Igata, Takahisa

2018-05-01

We completely classify Friedmann–Lemaître–Robertson–Walker solutions with spatial curvature and equation of state , according to their conformal structure, singularities and trapping horizons. We do not assume any energy conditions and allow , thereby going beyond the usual well-known solutions. For each spatial curvature, there is an initial spacelike big-bang singularity for w  >  ‑1/3 and , while there is no big-bang singularity for w  <  ‑1 and . For K  =  0 or  ‑1, ‑1  <  w  <  ‑1/3 and , there is an initial null big-bang singularity. For each spatial curvature, there is a final spacelike future big-rip singularity for w  <  ‑1 and , with null geodesics being future complete for but incomplete for w  <  ‑5/3. For w  =  ‑1/3, the expansion speed is constant. For  ‑1  <  w  <  ‑1/3 and K  =  1, the universe contracts from infinity, then bounces and expands back to infinity. For K  =  0, the past boundary consists of timelike infinity and a regular null hypersurface for  ‑5/3  <  w  <  ‑1, while it consists of past timelike and past null infinities for . For w  <  ‑1 and K  =  1, the spacetime contracts from an initial spacelike past big-rip singularity, then bounces and blows up at a final spacelike future big-rip singularity. For w  <  ‑1 and K  =  ‑1, the past boundary consists of a regular null hypersurface. The trapping horizons are timelike, null and spacelike for , and , respectively. A negative energy density () is possible only for K  =  ‑1. In this case, for w  >  ‑1/3, the universe contracts from infinity, then bounces and expands to infinity; for  ‑1  <  w  <  ‑1/3, it starts from a big-bang singularity and contracts to a big-crunch singularity; for w  <  ‑1, it expands from a regular null hypersurface and contracts to another regular null hypersurface.

Big Explosives Experimental Facility - BEEF

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

None

The Big Explosives Experimental Facility or BEEF is a ten acre fenced high explosive testing facility that provides data to support stockpile stewardship and other national security programs. At BEEF conventional high explosives experiments are safely conducted providing sophisticated diagnostics such as high speed optics and x-ray radiography.

Big Explosives Experimental Facility - BEEF

ScienceCinema

None

2018-01-16

The Big Explosives Experimental Facility or BEEF is a ten acre fenced high explosive testing facility that provides data to support stockpile stewardship and other national security programs. At BEEF conventional high explosives experiments are safely conducted providing sophisticated diagnostics such as high speed optics and x-ray radiography.

Big-City Rules

ERIC Educational Resources Information Center

Gordon, Dan

2011-01-01

When it comes to implementing innovative classroom technology programs, urban school districts face significant challenges stemming from their big-city status. These range from large bureaucracies, to scalability, to how to meet the needs of a more diverse group of students. Because of their size, urban districts tend to have greater distance…

Processing Solutions for Big Data in Astronomy

NASA Astrophysics Data System (ADS)

Fillatre, L.; Lepiller, D.

2016-09-01

This paper gives a simple introduction to processing solutions applied to massive amounts of data. It proposes a general presentation of the Big Data paradigm. The Hadoop framework, which is considered as the pioneering processing solution for Big Data, is described together with YARN, the integrated Hadoop tool for resource allocation. This paper also presents the main tools for the management of both the storage (NoSQL solutions) and computing capacities (MapReduce parallel processing schema) of a cluster of machines. Finally, more recent processing solutions like Spark are discussed. Big Data frameworks are now able to run complex applications while keeping the programming simple and greatly improving the computing speed.

Increasing the Mobility of Dismounted Marines. Small Unit Mobility Enhancement Technologies: Unmanned Ground Vehicles Market Survey

DTIC Science & Technology

2009-10-01

DARPA) Legged Squad Support System (LS3) Program. DARPA’s LS3 Program is an effort to develop a walking platform, preferably a quadruped, which...top-scoring UGV’s are track- or wheel-based; only the BigDog is a leg -based system. This presented BigDog with certain advantages (particularly...Technologies, Inc.’s ( DTI ) first location in Ranlo, North Carolina) – is a system capable of wheeled or tracked locomotion and was recently

From Desire to Data: How JLab's Experimental Program Evolved Part 2: The Painstaking Transition to Concrete Plans, Mid-1980s to 1990

NASA Astrophysics Data System (ADS)

Westfall, Catherine

2018-03-01

This is the second in a three-part article describing the development of the Thomas Jefferson National Accelerator Facility's experimental program, from the first dreams of incisive electromagnetic probes into the structure of the nucleus through the era in which equipment was designed and constructed and a program crafted so that the long-desired experiments could begin. These developments unfolded against the backdrop of the rise of the more bureaucratic New Big Science and the intellectual tumult that grew from increasing understanding and interest in quark-level physics. Part 2, presented here, focuses on the period from 1986 to 1990. During this period of revolutionary change, laboratory personnel, potential users, and DOE officials labored to proceed from the 1986 laboratory design report, which included detailed accelerator plans and very preliminary experimental equipment sketches, to an approved 1990 experimental equipment conceptual design report, which provided designs complete enough for the onset of experimental equipment construction.

The big picture: how social work can effectively utilize photographs.

PubMed

Marshall, Heather L; Craun, Sarah W; Theriot, Matthew T

2009-10-01

Social work has struggled with image problems and misperceptions of the profession and the types of services it provides. Photography is a medium that has been used effectively by other professions to change attitudes and perceptions. The present study examined the potential of photographs to change the image of available social services--namely, an adult day care program. Participants were divided into two groups: (1) a control group that only completed a survey on attitudes about adult day care services and (2) an experimental group that viewed photographs showing positive images of clients engaged in program activities before taking the survey. A multivariate regression demonstrated that those who saw the photographs before taking the survey had more positive attitudes about adult day care services. In fact, the variable representing the presentation of the photographs had the strongest effect on attitudes. Such findings suggest that photography is a potentially powerful tool to promote positive attitudes about social services programs. The implications of these results are discussed.

Installation Restoration Program, Phase 2. Confirmation/Quantification, Stage 1. Kalispell Air Force Station, Montana

DTIC Science & Technology

1989-05-01

AFB Statement of Work. The Phase II Stage 1 investigation of Malmstrom AFB and two off-Base sites at Shelby and Brady, Montana are described in a...Flathead National Forest Headquarters in Kalispell and the Big Fork Ranger Station in Big Fork . Because there has been litigation involved with this...reviewed by phone. An interview at the spill site was held with Mr. William Pedersen, U.S. Forest Service Ranger for the Big Fork District. He personally

Questions Come Alive. 2012 Annual Report

ERIC Educational Resources Information Center

Smithsonian Institution, 2012

2012-01-01

At the Smithsonian, big questions are the common denominators that unite their museums, research centers, and programs. And curiosity is contagious. Today's small child who looks in awe at the big dinosaurs that once roamed the earth and wonders, "What happened?" might just be tomorrow's paleontologist. Among this year's stories is a…

CyberConnect: Use the Internet with Big6[R] Skills To Achieve Standards.

ERIC Educational Resources Information Center

Murray, Janet

2003-01-01

Describes the use of Big6 strategies in guiding student research projects as part of a cooperative program between teachers and the school librarian. Topics include information seeking strategies; evaluating information sources; locating information using search engines; analyzing information sources; and achieving information literacy and…

75 FR 57978 - Notice of Intent; Request for Comments on Adoption of the National Park Service's Wetland and...

Federal Register 2010, 2011, 2012, 2013, 2014

2010-09-23

... under the National Coastal Wetland Conservation Grant Program for habitat restoration activities. The... Creek Restoration Final Environmental Impact Statement/Environmental Impact Report, Big Lagoon, Muir... impact report (EIS/EIR) for the Wetland and Creek Restoration at Big Lagoon, Muir Beach, California...

Assessing Conceptual Understanding via Literacy-Infused, Inquiry-Based Science among Middle School English Learners and Economically-Challenged Students

ERIC Educational Resources Information Center

Lara-Alecio, Rafael; Irby, Beverly J.; Tong, Fuhui; Guerrero, Cindy; Koch, Janice; Sutton-Jones, Kara L.

2018-01-01

The overarching purpose of our study was to compare performances of treatment and control condition students who completed a literacy-infused, inquiry-based science intervention through sixth grade as measured by a big idea assessment tool which we refer to as the Big Ideas in Science Assessment (BISA). First, we determine the concurrent validity…

Constraint programming based biomarker optimization.

PubMed

Zhou, Manli; Luo, Youxi; Sun, Guoquan; Mai, Guoqin; Zhou, Fengfeng

2015-01-01

Efficient and intuitive characterization of biological big data is becoming a major challenge for modern bio-OMIC based scientists. Interactive visualization and exploration of big data is proven to be one of the successful solutions. Most of the existing feature selection algorithms do not allow the interactive inputs from users in the optimizing process of feature selection. This study investigates this question as fixing a few user-input features in the finally selected feature subset and formulates these user-input features as constraints for a programming model. The proposed algorithm, fsCoP (feature selection based on constrained programming), performs well similar to or much better than the existing feature selection algorithms, even with the constraints from both literature and the existing algorithms. An fsCoP biomarker may be intriguing for further wet lab validation, since it satisfies both the classification optimization function and the biomedical knowledge. fsCoP may also be used for the interactive exploration of bio-OMIC big data by interactively adding user-defined constraints for modeling.

Clinical comparison and complete cure rates of Terbinafine efficacy in affected onychomycotic toenails.

PubMed

Shemer, A; Sakka, N; Baran, R; Scher, R; Amichai, B; Norman, L; Farhi, R; Magun, R; Brazilai, A; Daniel, R

2015-03-01

Clinical studies regarding complete cure rate of onychomycosis using oral Terbinafine have a very broad range (14-90%) based solely on response to treatment on the big toenail. To evaluate the efficacy of Terbinafine in all affected onychomycotic toenails and, furthermore, to evaluate differences in mycological, clinical and complete cure rate between affected onychomycotic toenails. Inclusion criteria are as follows: distolateralsubungual onychomycotic involvement of the hallux and additional involvement of at least two more toenails of the same foot. Exclusion criteria are as follows: patients with nail traumata and hypersensitivity to Terbinafine. Patients were treated with oral Terbinafine 250 mg/day for 16 weeks. Mycological analysis was performed using direct microscopy and culture. Clinical improvement was assessed using digital photography. Statistically significant difference was found in clinical improvement between the great toenail and all other involved toenails. The rate of complete cure (100% clinical cure and mycological cure) of the big toenail was lower (23%) as compared to the second (65%), third (51%) and the fourth toenail (67%). This is a case series study that was based on a single-centre cohort. Our results support findings that efficacy of Terbinafine should be based on all involved onychomycotic toenails; the big toenail is not superior in response compared to other affected toenails. © 2014 European Academy of Dermatology and Venereology.

A large neutral fraction of cosmic hydrogen a billion years after the Big Bang.

PubMed

Wyithe, J Stuart B; Loeb, Abraham

2004-02-26

The fraction of ionized hydrogen left over from the Big Bang provides evidence for the time of formation of the first stars and quasar black holes in the early Universe; such objects provide the high-energy photons necessary to ionize hydrogen. Spectra of the two most distant known quasars show nearly complete absorption of photons with wavelengths shorter than the Lyman alpha transition of neutral hydrogen, indicating that hydrogen in the intergalactic medium (IGM) had not been completely ionized at a redshift of z approximately 6.3, about one billion years after the Big Bang. Here we show that the IGM surrounding these quasars had a neutral hydrogen fraction of tens of per cent before the quasar activity started, much higher than the previous lower limits of approximately 0.1 per cent. Our results, when combined with the recent inference of a large cumulative optical depth to electron scattering after cosmological recombination therefore suggest the presence of a second peak in the mean ionization history of the Universe.

Asynchronous Object Storage with QoS for Scientific and Commercial Big Data

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

Brim, Michael J; Dillow, David A; Oral, H Sarp

2013-01-01

This paper presents our design for an asynchronous object storage system intended for use in scientific and commercial big data workloads. Use cases from the target workload do- mains are used to motivate the key abstractions used in the application programming interface (API). The architecture of the Scalable Object Store (SOS), a prototype object stor- age system that supports the API s facilities, is presented. The SOS serves as a vehicle for future research into scalable and resilient big data object storage. We briefly review our research into providing efficient storage servers capable of providing quality of service (QoS) contractsmore » relevant for big data use cases.« less

Big Science and the Large Hadron Collider

NASA Astrophysics Data System (ADS)

Giudice, Gian Francesco

2012-03-01

The Large Hadron Collider (LHC), the particle accelerator operating at CERN, is probably the most complex and ambitious scientific project ever accomplished by humanity. The sheer size of the enterprise, in terms of financial and human resources, naturally raises the question whether society should support such costly basic-research programs. I address this question by first reviewing the process that led to the emergence of Big Science and the role of large projects in the development of science and technology. I then compare the methodologies of Small and Big Science, emphasizing their mutual linkage. Finally, after examining the cost of Big Science projects, I highlight several general aspects of their beneficial implications for society.

Possible antigravity regions in F(R) theory?

NASA Astrophysics Data System (ADS)

Bamba, Kazuharu; Nojiri, Shin'ichi; Odintsov, Sergei D.; Sáez-Gómez, Diego

2014-03-01

We construct an F(R) gravity theory corresponding to the Weyl invariant two scalar field theory. We investigate whether such F(R) gravity can have the antigravity regions where the Weyl curvature invariant does not diverge at the Big Bang and Big Crunch singularities. It is revealed that the divergence cannot be evaded completely but can be much milder than that in the original Weyl invariant two scalar field theory.

Paper-and-Pencil and Web-Based Testing: The Measurement Invariance of the Big Five Personality Tests in Applied Settings

ERIC Educational Resources Information Center

Vecchione, Michele; Alessandri, Guido; Barbaranelli, Claudio

2012-01-01

This study investigates the measurement equivalence of a five-factor measure of personality across two groups applying for jobs, who completed the same questionnaire using either a paper-and-pencil (n = 429) or a web online answer format (n = 651). The data were collected using the Big Five Questionnaire-2 (BFQ-2; which is a measure of the Five…

A Quantum Universe Before the Big Bang(s)?

NASA Astrophysics Data System (ADS)

Veneziano, Gabriele

2017-08-01

The predictions of general relativity have been verified by now in a variety of different situations, setting strong constraints on any alternative theory of gravity. Nonetheless, there are strong indications that general relativity has to be regarded as an approximation of a more complete theory. Indeed theorists have long been looking for ways to connect general relativity, which describes the cosmos and the infinitely large, to quantum physics, which has been remarkably successful in explaining the infinitely small world of elementary particles. These two worlds, however, come closer and closer to each other as we go back in time all the way up to the big bang. Actually, modern cosmology has changed completely the old big bang paradigm: we now have to talk about (at least) two (big?) bangs. If we know quite something about the one closer to us, at the end of inflation, we are much more ignorant about the one that may have preceded inflation and possibly marked the beginning of time. No one doubts that quantum mechanics plays an essential role in answering these questions: unfortunately a unified theory of gravity and quantum mechanics is still under construction. Finding such a synthesis and confirming it experimentally will no doubt be one of the biggest challenges of this century’s physics.

Architecture and Programming Models for High Performance Intensive Computation

DTIC Science & Technology

2016-06-29

Applications Systems and Large-Scale-Big-Data & Large-Scale-Big-Computing (DDDAS- LS ). ICCS 2015, June 2015. Reykjavk, Ice- land. 2. Bo YT, Wang P, Guo ZL...The Mahali project,” Communications Magazine , vol. 52, pp. 111–133, Aug 2014. 14 DISTRIBUTION A: Distribution approved for public release. Response ID

Empowerment, Participation, and Democracy? -- The Hong Kong Big Sisters' Guidance Programme.

ERIC Educational Resources Information Center

Bottery, Mike; Siu, Shun-Mei

1996-01-01

Asserts that the Big Sisters Programme in Hong Kong provides a good example of a scheme that transcends personal and school issues and facilitates a more participative and democratic view of society. Characterizes the program as a benign form of a "hidden curriculum" and recommends establishing it in secondary schools. (MJP)

Big-Fish-Little-Pond Effect: Generalizability and Moderation--Two Sides of the Same Coin

ERIC Educational Resources Information Center

Seaton, Marjorie; Marsh, Herbert W.; Craven, Rhonda G.

2010-01-01

Research evidence for the big-fish-little-pond effect (BFLPE) has demonstrated that attending high-ability schools has a negative effect on academic self-concept. Utilizing multilevel modeling with the 2003 Program for International Student Assessment database, the present investigation evaluated the generalizability and robustness of the BFLPE…

Internet-based brain training games, citizen scientists, and big data: ethical issues in unprecedented virtual territories.

PubMed

Purcell, Ryan H; Rommelfanger, Karen S

2015-04-22

Internet brain training programs, where consumers serve as both subjects and funders of the research, represent the closest engagement many individuals have with neuroscience. Safeguards are needed to protect participants' privacy and the evolving scientific enterprise of big data. Copyright © 2015 Elsevier Inc. All rights reserved.

Big Macs for Big Grades

ERIC Educational Resources Information Center

Hann, Christopher

2008-01-01

This article reports on a controversial program that rewards high student achievement with fast food. When Cathy Griffith, a fourth-grader at Red Bug Elementary School in Seminole County (Florida) Public Schools, made the honor roll last November, she also read a message on her report card sleeve that she was eligible for a prize for her good…

Big bang nucleosynthesis: The strong nuclear force meets the weak anthropic principle

NASA Astrophysics Data System (ADS)

MacDonald, J.; Mullan, D. J.

2009-08-01

Contrary to a common argument that a small increase in the strength of the strong force would lead to destruction of all hydrogen in the big bang due to binding of the diproton and the dineutron with a catastrophic impact on life as we know it, we show that provided the increase in strong force coupling constant is less than about 50% substantial amounts of hydrogen remain. The reason is that an increase in strong force strength leads to tighter binding of the deuteron, permitting nucleosynthesis to occur earlier in the big bang at higher temperature than in the standard big bang. Photodestruction of the less tightly bound diproton and dineutron delays their production to after the bulk of nucleosynthesis is complete. The decay of the diproton can, however, lead to relatively large abundances of deuterium.

'Big data', Hadoop and cloud computing in genomics.

PubMed

O'Driscoll, Aisling; Daugelaite, Jurate; Sleator, Roy D

2013-10-01

Since the completion of the Human Genome project at the turn of the Century, there has been an unprecedented proliferation of genomic sequence data. A consequence of this is that the medical discoveries of the future will largely depend on our ability to process and analyse large genomic data sets, which continue to expand as the cost of sequencing decreases. Herein, we provide an overview of cloud computing and big data technologies, and discuss how such expertise can be used to deal with biology's big data sets. In particular, big data technologies such as the Apache Hadoop project, which provides distributed and parallelised data processing and analysis of petabyte (PB) scale data sets will be discussed, together with an overview of the current usage of Hadoop within the bioinformatics community. Copyright © 2013 Elsevier Inc. All rights reserved.

Vocational Teacher Education at Ferris State College: Product of Constant Evaluation and Revision

ERIC Educational Resources Information Center

Storm, George

1974-01-01

The trade-technical education program at Ferris State College, Big Rapids, Michigan, is reviewed. The curriculum of the college, its intern programs, and the teacher preparation technical programs are described. (DS)

LLNL's Big Science Capabilities Help Spur Over $796 Billion in U.S. Economic Activity Sequencing the Human Genome

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

Stewart, Jeffrey S.

LLNL’s successful history of taking on big science projects spans beyond national security and has helped create billions of dollars per year in new economic activity. One example is LLNL’s role in helping sequence the human genome. Over $796 billion in new economic activity in over half a dozen fields has been documented since LLNL successfully completed this Grand Challenge.

The Multisyllabic Word Dilemma: Helping Students Build Meaning, Spell, and Read "Big" Words.

ERIC Educational Resources Information Center

Cunningham, Patricia M.

1998-01-01

Looks at what is known about multisyllabic words, which is a lot more than educators knew when the previous generation of multisyllabic word instruction was created. Reviews the few studies that have carried out instructional approaches to increase students' ability to decode big words. Outlines a program of instruction, based on what is currently…

Pathways of Influence in School-Based Mentoring: The Mediating Role of Parent and Teacher Relationships

ERIC Educational Resources Information Center

Chan, Christian S.; Rhodes, Jean E.; Howard, Waylon J.; Lowe, Sarah R.; Schwartz, Sarah E. O.; Herrera, Carla

2013-01-01

This study explores the pathways through which school-based mentoring relationships are associated with improvements in elementary and high school students' socio-emotional, academic, and behavioral outcomes. Participants in the study (N = 526) were part of a national evaluation of the Big Brothers Big Sisters school-based mentoring programs, all…

Strategic Theory for the 21st Century: The Little Book on Big Strategy

DTIC Science & Technology

2006-02-01

Theory for the 21st Century: The Little Book on Big Startegy 5a. CONTRACT NUMBER 5b. GRANT NUMBER 5c. PROGRAM ELEMENT NUMBER 6. AUTHOR(S) 5d. PROJECT...to international norms. For the United States, this can be particularly problematic. U.S. liberal culture (free markets , equal opportunity, free

Preparing a Data Scientist: A Pedagogic Experience in Designing a Big Data Analytics Course

ERIC Educational Resources Information Center

Asamoah, Daniel Adomako; Sharda, Ramesh; Hassan Zadeh, Amir; Kalgotra, Pankush

2017-01-01

In this article, we present an experiential perspective on how a big data analytics course was designed and delivered to students at a major Midwestern university. In reference to the "MSIS 2006 Model Curriculum," we designed this course as a level 2 course, with prerequisites in databases, computer programming, statistics, and data…

Big data in biomedicine.

PubMed

Costa, Fabricio F

2014-04-01

The increasing availability and growth rate of biomedical information, also known as 'big data', provides an opportunity for future personalized medicine programs that will significantly improve patient care. Recent advances in information technology (IT) applied to biomedicine are changing the landscape of privacy and personal information, with patients getting more control of their health information. Conceivably, big data analytics is already impacting health decisions and patient care; however, specific challenges need to be addressed to integrate current discoveries into medical practice. In this article, I will discuss the major breakthroughs achieved in combining omics and clinical health data in terms of their application to personalized medicine. I will also review the challenges associated with using big data in biomedicine and translational science. Copyright © 2013 Elsevier Ltd. All rights reserved.

What's the Big Idea? Seeking to Top Apollo

NASA Technical Reports Server (NTRS)

Sherwood, Brent

2012-01-01

Human space flight has struggled to find its soul since Apollo. The astounding achievements of human space programs over the 40 years since Apollo have failed to be as iconic or central to society as in the 1960s. The paper proffers a way human space flight could again be associated with a societal Big Idea. It describes eight societal factors that have irrevocably changed since Apollo; then analyzes eight other factors that a forward HSF Big Idea would have to fit. The paper closes by assessing the four principal options for HSF futures against those eight factors. Robotic and human industrialization of geosynchronous orbit to provide unlimited, sustainable electrical power to Earth is found to be the best candidate for the next Big Idea.

Getting Open Source Right for Big Data Analytics: Software Sharing, Governance, Collaboration and Most of All, Fun!

NASA Astrophysics Data System (ADS)

Mattmann, C. A.

2013-12-01

A wave of open source big data analytic infrastructure is currently shaping government, private sector, and academia. Projects are consuming, adapting, and contributing back to various ecosystems of software e.g., the Apache Hadoop project and its ecosystem of related efforts including Hive, HBase, Pig, Oozie, Ambari, Knox, Tez and Yarn, to name a few; the Berkeley AMPLab stack which includes Spark, Shark, Mesos, Tachyon, BlinkDB, MLBase, and other emerging efforts; MapR and its related stack of technologies, offerings from commercial companies building products around these tools e.g., Hortonworks Data Platform (HDP), Cloudera's CDH project, etc. Though the technologies all offer different capabilities including low latency support/in-memory, versus record oriented file I/O, high availability, support for the Map Reduce programming paradigm or other dataflow/workflow constructs, there is a common thread that binds these products - they are all released under an open source license e.g., Apache2, MIT, BSD, GPL/LGPL, etc.; all thrive in various ecosystems, such as Apache, or Berkeley AMPLab; all are developed collaboratively, and all technologies provide plug in architecture models and methodologies for allowing others to contribute, and participate via various community models. This talk will cover the open source aspects and governance aspects of the aforementioned Big Data ecosystems and point out the differences, subtleties, and implications of those differences. The discussion will be by example, using several national deployments and Big Data initiatives stemming from the Administration including DARPA's XDATA program; NASA's CMAC program; NSF's EarthCube and geosciences BigData projects. Lessons learned from these efforts in terms of the open source aspects of these technologies will help guide the AGU community in their use, deployment and understanding.

A peek into the future of radiology using big data applications.

PubMed

Kharat, Amit T; Singhal, Shubham

2017-01-01

Big data is extremely large amount of data which is available in the radiology department. Big data is identified by four Vs - Volume, Velocity, Variety, and Veracity. By applying different algorithmic tools and converting raw data to transformed data in such large datasets, there is a possibility of understanding and using radiology data for gaining new knowledge and insights. Big data analytics consists of 6Cs - Connection, Cloud, Cyber, Content, Community, and Customization. The global technological prowess and per-capita capacity to save digital information has roughly doubled every 40 months since the 1980's. By using big data, the planning and implementation of radiological procedures in radiology departments can be given a great boost. Potential applications of big data in the future are scheduling of scans, creating patient-specific personalized scanning protocols, radiologist decision support, emergency reporting, virtual quality assurance for the radiologist, etc. Targeted use of big data applications can be done for images by supporting the analytic process. Screening software tools designed on big data can be used to highlight a region of interest, such as subtle changes in parenchymal density, solitary pulmonary nodule, or focal hepatic lesions, by plotting its multidimensional anatomy. Following this, we can run more complex applications such as three-dimensional multi planar reconstructions (MPR), volumetric rendering (VR), and curved planar reconstruction, which consume higher system resources on targeted data subsets rather than querying the complete cross-sectional imaging dataset. This pre-emptive selection of dataset can substantially reduce the system requirements such as system memory, server load and provide prompt results. However, a word of caution, "big data should not become "dump data" due to inadequate and poor analysis and non-structured improperly stored data. In the near future, big data can ring in the era of personalized and individualized healthcare.

50 CFR 86.91 - What are my program crediting responsibilities?

Code of Federal Regulations, 2012 CFR

2012-10-01

... THE INTERIOR (CONTINUED) FINANCIAL ASSISTANCE-WILDLIFE SPORT FISH RESTORATION PROGRAM BOATING INFRASTRUCTURE GRANT (BIG) PROGRAM State Use of Signs and Sport Fish Restoration Symbols § 86.91 What are my program crediting responsibilities? You should give public credit to the Federal Aid in Sport Fish...

50 CFR 86.91 - What are my program crediting responsibilities?

Code of Federal Regulations, 2011 CFR

2011-10-01

... THE INTERIOR (CONTINUED) FINANCIAL ASSISTANCE-WILDLIFE SPORT FISH RESTORATION PROGRAM BOATING INFRASTRUCTURE GRANT (BIG) PROGRAM State Use of Signs and Sport Fish Restoration Symbols § 86.91 What are my program crediting responsibilities? You should give public credit to the Federal Aid in Sport Fish...

50 CFR 86.91 - What are my program crediting responsibilities?

Code of Federal Regulations, 2010 CFR

2010-10-01

... THE INTERIOR (CONTINUED) FINANCIAL ASSISTANCE-WILDLIFE SPORT FISH RESTORATION PROGRAM BOATING INFRASTRUCTURE GRANT (BIG) PROGRAM State Use of Signs and Sport Fish Restoration Symbols § 86.91 What are my program crediting responsibilities? You should give public credit to the Federal Aid in Sport Fish...

Temperament and Character Inventory-R (TCI-R) and Big Five Questionnaire (BFQ): convergence and divergence.

PubMed

Capanna, Cristina; Struglia, Francesca; Riccardi, Ilaria; Daneluzzo, Enrico; Stratta, Paolo; Rossi, Alessandro

2012-06-01

This study evaluated the correspondence between measures of two competing theories of personality, the five-factor model as measured by the Big Five Questionnaire (BFQ), and Cloninger's psychobiological theory measured by the Temperament and Character Inventory-Revised (TCI-R). A sample of 900 Italian participants, balanced with respect to sex (393 men and 507 women), and representative of the adult population with respect to age (range 18 to 70 years; M = 39.6, SD = 15.7) completed the TCI-R and the Big Five Questionnaire. All TCI-R personality dimensions except Self-Transcendence were moderately correlated with one or more of the Big Five dimensions (from r = .40 to .61), and the two instruments showed areas of convergence. However, the differences outweighed the similarities, indicating that these current conceptualizations and measures of personality are somewhat inconsistent with each other.

Body image and personality among British men: associations between the Big Five personality domains, drive for muscularity, and body appreciation.

PubMed

Benford, Karis; Swami, Viren

2014-09-01

The present study examined associations between the Big Five personality domains and measures of men's body image. A total of 509 men from the community in London, UK, completed measures of drive for muscularity, body appreciation, the Big Five domains, and subjective social status, and provided their demographic details. The results of a hierarchical regression showed that, once the effects of participant body mass index (BMI) and subjective social status had been accounted for, men's drive for muscularity was significantly predicted by Neuroticism (β=.29). In addition, taking into account the effects of BMI and subjective social status, men's body appreciation was significantly predicted by Neuroticism (β=-.35) and Extraversion (β=.12). These findings highlight potential avenues for the development of intervention approaches based on the relationship between the Big Five personality traits and body image. Copyright © 2014 Elsevier Ltd. All rights reserved.

Trait Emotional Intelligence and Personality: Gender-Invariant Linkages Across Different Measures of the Big Five.

PubMed

Siegling, Alexander B; Furnham, Adrian; Petrides, K V

2015-02-01

This study investigated if the linkages between trait emotional intelligence (trait EI) and the Five-Factor Model of personality were invariant between men and women. Five English-speaking samples ( N = 307-685) of mostly undergraduate students each completed a different measure of the Big Five personality traits and either the full form or short form of the Trait Emotional Intelligence Questionnaire (TEIQue). Across samples, models predicting global TEIQue scores from the Big Five were invariant between genders, with Neuroticism and Extraversion being the strongest trait EI correlates, followed by Conscientiousness, Agreeableness, and Openness. However, there was some evidence indicating that the gender-specific contributions of the Big Five to trait EI vary depending on the personality measure used, being more consistent for women. Discussion focuses on the validity of the TEIQue as a measure of trait EI and its psychometric properties, more generally.

A Big Five facet analysis of sub-clinical narcissism: understanding boldness in terms of well-known personality traits.

PubMed

Furnham, Adrian; Crump, John

2014-08-01

This study aimed to examine a Big Five 'bright-side' analysis of a sub-clinical personality disorder, i.e. narcissism. A total of 6957 British adults completed the NEO-PI-R, which measures the Big Five Personality factors at the domain and the facet level, as well as the Hogan Development Survey (HDS), which has a measure of Narcissism called Bold as one of its dysfunctional interpersonal tendencies. Correlation and regression results confirmed many of the associations between the Big Five domains and facets (NEO-PI-R) and sub-clinical narcissism. The Bold (Narcissism) scale from the HDS was the criterion variable in all analyses. Bold individuals are disagreeable extraverts with very low scores on facet Modesty but moderately high scores on Assertiveness, Competence and Achievement Striving. The study confirmed work using different population groups and different measures. Copyright © 2014 John Wiley & Sons, Ltd.

Visualization at supercomputing centers: the tale of little big iron and the three skinny guys.

PubMed

Bethel, E W; van Rosendale, J; Southard, D; Gaither, K; Childs, H; Brugger, E; Ahern, S

2011-01-01

Supercomputing centers are unique resources that aim to enable scientific knowledge discovery by employing large computational resources-the "Big Iron." Design, acquisition, installation, and management of the Big Iron are carefully planned and monitored. Because these Big Iron systems produce a tsunami of data, it's natural to colocate the visualization and analysis infrastructure. This infrastructure consists of hardware (Little Iron) and staff (Skinny Guys). Our collective experience suggests that design, acquisition, installation, and management of the Little Iron and Skinny Guys doesn't receive the same level of treatment as that of the Big Iron. This article explores the following questions about the Little Iron: How should we size the Little Iron to adequately support visualization and analysis of data coming off the Big Iron? What sort of capabilities must it have? Related questions concern the size of visualization support staff: How big should a visualization program be-that is, how many Skinny Guys should it have? What should the staff do? How much of the visualization should be provided as a support service, and how much should applications scientists be expected to do on their own?

Geologic map of Big Bend National Park, Texas

USGS Publications Warehouse

Turner, Kenzie J.; Berry, Margaret E.; Page, William R.; Lehman, Thomas M.; Bohannon, Robert G.; Scott, Robert B.; Miggins, Daniel P.; Budahn, James R.; Cooper, Roger W.; Drenth, Benjamin J.; Anderson, Eric D.; Williams, Van S.

2011-01-01

The purpose of this map is to provide the National Park Service and the public with an updated digital geologic map of Big Bend National Park (BBNP). The geologic map report of Maxwell and others (1967) provides a fully comprehensive account of the important volcanic, structural, geomorphological, and paleontological features that define BBNP. However, the map is on a geographically distorted planimetric base and lacks topography, which has caused difficulty in conducting GIS-based data analyses and georeferencing the many geologic features investigated and depicted on the map. In addition, the map is outdated, excluding significant data from numerous studies that have been carried out since its publication more than 40 years ago. This report includes a modern digital geologic map that can be utilized with standard GIS applications to aid BBNP researchers in geologic data analysis, natural resource and ecosystem management, monitoring, assessment, inventory activities, and educational and recreational uses. The digital map incorporates new data, many revisions, and greater detail than the original map. Although some geologic issues remain unresolved for BBNP, the updated map serves as a foundation for addressing those issues. Funding for the Big Bend National Park geologic map was provided by the United States Geological Survey (USGS) National Cooperative Geologic Mapping Program and the National Park Service. The Big Bend mapping project was administered by staff in the USGS Geology and Environmental Change Science Center, Denver, Colo. Members of the USGS Mineral and Environmental Resources Science Center completed investigations in parallel with the geologic mapping project. Results of these investigations addressed some significant current issues in BBNP and the U.S.-Mexico border region, including contaminants and human health, ecosystems, and water resources. Funding for the high-resolution aeromagnetic survey in BBNP, and associated data analyses and interpretation, was from the USGS Crustal Geophysics and Geochemistry Science Center. Mapping contributed from university professors and students was mostly funded by independent sources, including academic institutions, private industry, and other agencies.

Partial achilles tendon rupture presenting with giant hematoma; MRI findings of 4 year follow up.

PubMed

Sarsilmaz, Aysegul; Varer, Makbule; Coskun, Gulten; Apaydın, Melda; Oyar, Orhan

2011-12-01

In the young population, spontaneous rupture of Achilles tendon is very rare. The big hematoma is also rare finding of the Achilles tendon partial rupture. It is usually seen with complete rupture. We presented imaging findings of 4 years follow up of the spontaneous partial rupture of Achilles tendon presenting with giant expanding hematoma and mimicking complete rupture radiologically. We discussed the alterations of tendon signal intensity and result of conservative therapy after partial rupture with big hematoma in the long term. A 29 year-old man, applied with pain and swelling in the retrocalcaneal region of left ankle. He did not have chronic metabolic disease. He was not active in physical activities. X-ray radiograms were normal. At magnetic resonance images (MRI), there was an intratendinous big hematoma, subcutanous fat planes were edematous around tendon. The diagnosis was partial rupture and giant hematoma. Hematoma was drained. The conservative treatment was applied and his complaints disappeared. After treatment, approximately 4 years later, control MRI showed thickened and hypointense tendon in all images. Crown Copyright © 2011. Published by Elsevier Ltd. All rights reserved.

50 CFR 86.91 - What are my program crediting responsibilities?

Code of Federal Regulations, 2014 CFR

2014-10-01

... THE INTERIOR (CONTINUED) FINANCIAL ASSISTANCE-WILDLIFE AND SPORT FISH RESTORATION PROGRAM BOATING INFRASTRUCTURE GRANT (BIG) PROGRAM State Use of Signs and Sport Fish Restoration Symbols § 86.91 What are my program crediting responsibilities? You should give public credit to the Federal Aid in Sport Fish...

50 CFR 86.91 - What are my program crediting responsibilities?

Code of Federal Regulations, 2013 CFR

2013-10-01

... THE INTERIOR (CONTINUED) FINANCIAL ASSISTANCE-WILDLIFE AND SPORT FISH RESTORATION PROGRAM BOATING INFRASTRUCTURE GRANT (BIG) PROGRAM State Use of Signs and Sport Fish Restoration Symbols § 86.91 What are my program crediting responsibilities? You should give public credit to the Federal Aid in Sport Fish...

A Unified Approach to Abductive Inference

DTIC Science & Technology

2014-09-30

learning in “ Big data ” domains. COMBINING MARKOV LOGIC AND SUPPORT VECTOR MACHINES FOR EVENT EXTRACTION Event extraction is the task of...and                          achieves state­of­the­art performance. This makes it an ideal candidate for learning in “ Big data ...including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the

A Big Bang versus a Small Bang Approach: A Case Study of the Expeditionary Combat Support System (ECSS) and the Maintenance, Repair, and Overhaul Initiative (MROi)

DTIC Science & Technology

resource planning (ERP) solution called the Expeditionary Combat Support System (ECSS), a big - bang approach. In early 2012, the ECSS program was cancelled...Repair, and Overhaul initiative (MROi), a small- bang approach, to increase enterprise visibility and efficiency across all three Air Logistics

"Air Toxics under the Big Sky": Examining the Effectiveness of Authentic Scientific Research on High School Students' Science Skills and Interest

ERIC Educational Resources Information Center

Ward, Tony J.; Delaloye, Naomi; Adams, Earle Raymond; Ware, Desirae; Vanek, Diana; Knuth, Randy; Hester, Carolyn Laurie; Marra, Nancy Noel; Holian, Andrij

2016-01-01

"Air Toxics Under the Big Sky" is an environmental science outreach/education program that incorporates the Next Generation Science Standards (NGSS) 8 Practices with the goal of promoting knowledge and understanding of authentic scientific research in high school classrooms through air quality research. This research explored: (1)…

Novel predictive models for metabolic syndrome risk: a "big data" analytic approach.

PubMed

Steinberg, Gregory B; Church, Bruce W; McCall, Carol J; Scott, Adam B; Kalis, Brian P

2014-06-01

We applied a proprietary "big data" analytic platform--Reverse Engineering and Forward Simulation (REFS)--to dimensions of metabolic syndrome extracted from a large data set compiled from Aetna's databases for 1 large national customer. Our goals were to accurately predict subsequent risk of metabolic syndrome and its various factors on both a population and individual level. The study data set included demographic, medical claim, pharmacy claim, laboratory test, and biometric screening results for 36,944 individuals. The platform reverse-engineered functional models of systems from diverse and large data sources and provided a simulation framework for insight generation. The platform interrogated data sets from the results of 2 Comprehensive Metabolic Syndrome Screenings (CMSSs) as well as complete coverage records; complete data from medical claims, pharmacy claims, and lab results for 2010 and 2011; and responses to health risk assessment questions. The platform predicted subsequent risk of metabolic syndrome, both overall and by risk factor, on population and individual levels, with ROC/AUC varying from 0.80 to 0.88. We demonstrated that improving waist circumference and blood glucose yielded the largest benefits on subsequent risk and medical costs. We also showed that adherence to prescribed medications and, particularly, adherence to routine scheduled outpatient doctor visits, reduced subsequent risk. The platform generated individualized insights using available heterogeneous data within 3 months. The accuracy and short speed to insight with this type of analytic platform allowed Aetna to develop targeted cost-effective care management programs for individuals with or at risk for metabolic syndrome.

A practical guide to big data research in psychology.

PubMed

Chen, Eric Evan; Wojcik, Sean P

2016-12-01

The massive volume of data that now covers a wide variety of human behaviors offers researchers in psychology an unprecedented opportunity to conduct innovative theory- and data-driven field research. This article is a practical guide to conducting big data research, covering data management, acquisition, processing, and analytics (including key supervised and unsupervised learning data mining methods). It is accompanied by walkthrough tutorials on data acquisition, text analysis with latent Dirichlet allocation topic modeling, and classification with support vector machines. Big data practitioners in academia, industry, and the community have built a comprehensive base of tools and knowledge that makes big data research accessible to researchers in a broad range of fields. However, big data research does require knowledge of software programming and a different analytical mindset. For those willing to acquire the requisite skills, innovative analyses of unexpected or previously untapped data sources can offer fresh ways to develop, test, and extend theories. When conducted with care and respect, big data research can become an essential complement to traditional research. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

Big Data access and infrastructure for modern biology: case studies in data repository utility.

PubMed

Boles, Nathan C; Stone, Tyler; Bergeron, Charles; Kiehl, Thomas R

2017-01-01

Big Data is no longer solely the purview of big organizations with big resources. Today's routine tools and experimental methods can generate large slices of data. For example, high-throughput sequencing can quickly interrogate biological systems for the expression levels of thousands of different RNAs, examine epigenetic marks throughout the genome, and detect differences in the genomes of individuals. Multichannel electrophysiology platforms produce gigabytes of data in just a few minutes of recording. Imaging systems generate videos capturing biological behaviors over the course of days. Thus, any researcher now has access to a veritable wealth of data. However, the ability of any given researcher to utilize that data is limited by her/his own resources and skills for downloading, storing, and analyzing the data. In this paper, we examine the necessary resources required to engage Big Data, survey the state of modern data analysis pipelines, present a few data repository case studies, and touch on current institutions and programs supporting the work that relies on Big Data. © 2016 New York Academy of Sciences.

How Does National Scientific Funding Support Emerging Interdisciplinary Research: A Comparison Study of Big Data Research in the US and China

PubMed Central

Huang, Ying; Zhang, Yi; Youtie, Jan; Porter, Alan L.; Wang, Xuefeng

2016-01-01

How do funding agencies ramp-up their capabilities to support research in a rapidly emerging area? This paper addresses this question through a comparison of research proposals awarded by the US National Science Foundation (NSF) and the National Natural Science Foundation of China (NSFC) in the field of Big Data. Big data is characterized by its size and difficulties in capturing, curating, managing and processing it in reasonable periods of time. Although Big Data has its legacy in longstanding information technology research, the field grew very rapidly over a short period. We find that the extent of interdisciplinarity is a key aspect in how these funding agencies address the rise of Big Data. Our results show that both agencies have been able to marshal funding to support Big Data research in multiple areas, but the NSF relies to a greater extent on multi-program funding from different fields. We discuss how these interdisciplinary approaches reflect the research hot-spots and innovation pathways in these two countries. PMID:27219466

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

Bethel, E Wes; Brugger, Eric

Supercomputing centers are unique resources that aim to enable scientific knowledge discovery by employing large computational resources - the 'Big Iron.' Design, acquisition, installation, and management of the Big Iron are carefully planned and monitored. Because these Big Iron systems produce a tsunami of data, it's natural to colocate the visualization and analysis infrastructure. This infrastructure consists of hardware (Little Iron) and staff (Skinny Guys). Our collective experience suggests that design, acquisition, installation, and management of the Little Iron and Skinny Guys doesn't receive the same level of treatment as that of the Big Iron. This article explores the followingmore » questions about the Little Iron: How should we size the Little Iron to adequately support visualization and analysis of data coming off the Big Iron? What sort of capabilities must it have? Related questions concern the size of visualization support staff: How big should a visualization program be - that is, how many Skinny Guys should it have? What should the staff do? How much of the visualization should be provided as a support service, and how much should applications scientists be expected to do on their own?« less

How Does National Scientific Funding Support Emerging Interdisciplinary Research: A Comparison Study of Big Data Research in the US and China.

PubMed

Huang, Ying; Zhang, Yi; Youtie, Jan; Porter, Alan L; Wang, Xuefeng

2016-01-01

How do funding agencies ramp-up their capabilities to support research in a rapidly emerging area? This paper addresses this question through a comparison of research proposals awarded by the US National Science Foundation (NSF) and the National Natural Science Foundation of China (NSFC) in the field of Big Data. Big data is characterized by its size and difficulties in capturing, curating, managing and processing it in reasonable periods of time. Although Big Data has its legacy in longstanding information technology research, the field grew very rapidly over a short period. We find that the extent of interdisciplinarity is a key aspect in how these funding agencies address the rise of Big Data. Our results show that both agencies have been able to marshal funding to support Big Data research in multiple areas, but the NSF relies to a greater extent on multi-program funding from different fields. We discuss how these interdisciplinary approaches reflect the research hot-spots and innovation pathways in these two countries.

50 CFR 86.51 - To whom must I apply?

Code of Federal Regulations, 2011 CFR

2011-10-01

...) FINANCIAL ASSISTANCE-WILDLIFE SPORT FISH RESTORATION PROGRAM BOATING INFRASTRUCTURE GRANT (BIG) PROGRAM How..., Fax: 303-236-8192 7 Alaska Division of Federal Aid, U.S. Fish & Wildlife Service, 1011 East Tudor Road...

50 CFR 86.90 - What are my responsibilities for information signs?

Code of Federal Regulations, 2013 CFR

2013-10-01

..., DEPARTMENT OF THE INTERIOR (CONTINUED) FINANCIAL ASSISTANCE-WILDLIFE AND SPORT FISH RESTORATION PROGRAM BOATING INFRASTRUCTURE GRANT (BIG) PROGRAM State Use of Signs and Sport Fish Restoration Symbols § 86.90...

50 CFR 86.90 - What are my responsibilities for information signs?

Code of Federal Regulations, 2014 CFR

2014-10-01

..., DEPARTMENT OF THE INTERIOR (CONTINUED) FINANCIAL ASSISTANCE-WILDLIFE AND SPORT FISH RESTORATION PROGRAM BOATING INFRASTRUCTURE GRANT (BIG) PROGRAM State Use of Signs and Sport Fish Restoration Symbols § 86.90...

The NASA Beyond Einstein Program

NASA Technical Reports Server (NTRS)

White, Nicholas E.

2006-01-01

Einstein's legacy is incomplete, his theory of General relativity raises -- but cannot answer --three profound questions: What powered the big bang? What happens to space, time, and matter at the edge of a black hole? and What is the mysterious dark energy pulling the Universe apart? The Beyond Einstein program within NASA's Office of Space Science aims to answer these questions, employing a series of missions linked by powerful new technologies and complementary approaches towards shared science goals. The Beyond Einstein program has three linked elements which advance science and technology towards two visions; to detect directly gravitational wave signals from the earliest possible moments of the BIg Bang, and to image the event horizon of a black hole. The central element is a pair of Einstein Great Observatories, Constellation-X and LISA. Constellation-X is a powerful new X-ray observatory dedicated to X-Ray Spectroscopy. LISA is the first spaced based gravitational wave detector. These powerful facilities will blaze new paths to the questions about black holes, the Big Bang and dark energy. The second element is a series of competitively selected Einstein Probes, each focused on one of the science questions and includes a mission dedicated resolving the Dark Energy mystery. The third element is a program of technology development, theoretical studies and education. The Beyond Einstein program is a new element in the proposed NASA budget for 2004. This talk will give an overview of the program and the missions contained within it.

LSVT LOUD and LSVT BIG: Behavioral Treatment Programs for Speech and Body Movement in Parkinson Disease

PubMed Central

Fox, Cynthia; Ebersbach, Georg; Ramig, Lorraine; Sapir, Shimon

2012-01-01

Recent advances in neuroscience have suggested that exercise-based behavioral treatments may improve function and possibly slow progression of motor symptoms in individuals with Parkinson disease (PD). The LSVT (Lee Silverman Voice Treatment) Programs for individuals with PD have been developed and researched over the past 20 years beginning with a focus on the speech motor system (LSVT LOUD) and more recently have been extended to address limb motor systems (LSVT BIG). The unique aspects of the LSVT Programs include the combination of (a) an exclusive target on increasing amplitude (loudness in the speech motor system; bigger movements in the limb motor system), (b) a focus on sensory recalibration to help patients recognize that movements with increased amplitude are within normal limits, even if they feel “too loud” or “too big,” and (c) training self-cueing and attention to action to facilitate long-term maintenance of treatment outcomes. In addition, the intensive mode of delivery is consistent with principles that drive activity-dependent neuroplasticity and motor learning. The purpose of this paper is to provide an integrative discussion of the LSVT Programs including the rationale for their fundamentals, a summary of efficacy data, and a discussion of limitations and future directions for research. PMID:22530161

Beyond Einstein: From the Big Bang to Black Holes

NASA Astrophysics Data System (ADS)

White, N.

Beyond Einstein is a science-driven program of missions, education and outreach, and technology, to address three questions: What powered the Big Bang? What happens to space, time, and matter at the edge of a Black Hole? What is the mysterious Dark Energy pulling the universe apart? To address the science objectives, Beyond Einstein contains several interlinked elements. The strategic missions Constellation-X and LISA primarily investigate the nature of black holes. Constellation-X is a spectroscopic observatory that uses X-ray emitting atoms as clocks to follow the fate of matter falling into black holes. LISA will be the first space-based gravitational wave observatory uses gravitational waves to measure the dynamic structure of space and time around black holes. Moderate sized probes that are fully competed, peer-reviewed missions (300M-450M) launched every 3-5 years to address the focussed science goals: 1) Determine the nature of the Dark Energy that dominates the universe, 2) Search for the signature of the beginning of the Big Bang in the microwave background and 3) Take a census of Black Holes of all sizes and ages in the universe. The final element is a Technology Program to enable ultimate Vision Missions (after 2015) to directly detect gravitational waves echoing from the beginning of the Big Bang, and to directly image matter near the event horizon of a Black Hole. An associated Education and Public Outreach Program will inspire the next generation of scientists, and support national science standards and benchmarks.

Evidence for metalloprotease involvement in the in vivo effects of big endothelin 1.

PubMed

Pollock, D M; Opgenorth, T J

1991-07-01

The potent vasoconstrictor endothelin 1 (ET-1) is thought to arise from the proteolytic processing of big endothelin 1 (Big ET) by a unique endothelin-converting enzyme, possibly a metalloprotease. Experiments were conducted to determine the effects of Big ET on cardiovascular and renal functions during inhibition of metalloprotease activity in vivo. Intravenous infusion of Big ET (0.1 nmol.kg-1.min-1) in anesthetized euvolemic rats produced a significant increase in mean arterial pressure (MAP; 39 +/- 8%) and a decrease in effective renal plasma flow (ERPF; -39 +/- 2%), whereas glomerular filtration rate (GFR) remained unchanged (-8 +/- 8%). Simultaneous intravenous infusion of phosphoramidon (0.25 mg.kg-1.min-1), an inhibitor of metalloprotease activity including neutral endopeptidase EC 3.4.24.11 (NEP), completely prevented these effects of Big ET. Thiorphan (0.1 mg.kg-1.min-1), also an inhibitor of NEP, had absolutely no effect on either the renal or cardiovascular response to Big ET. Similarly, the response to Big ET was unaffected by infusion of enalaprilat (0.1 mg.kg-1.min-1), an inhibitor of the angiotensin-converting enzyme, which is also a metalloprotease. To determine whether the effect of phosphoramidon was due to antagonism of ET-1, an identical series of experiments was performed using ET-1 infusion (0.02 nmol.kg-1.min-1). Although the increase in MAP (24 +/- 5%) produced by ET-1 was less than that observed for the given dose of Big ET, the renal vasoconstriction was much more severe; the smaller peptide changed ERPF and GFR by -66 +/- 7 and -54 +/- 9%, respectively.(ABSTRACT TRUNCATED AT 250 WORDS)

50 CFR 86.93 - Where should I use the SFR logo?

Code of Federal Regulations, 2013 CFR

2013-10-01

... (CONTINUED) FINANCIAL ASSISTANCE-WILDLIFE AND SPORT FISH RESTORATION PROGRAM BOATING INFRASTRUCTURE GRANT (BIG) PROGRAM State Use of Signs and Sport Fish Restoration Symbols § 86.93 Where should I use the SFR...

50 CFR 86.92 - Who can use the SFR logo?

Code of Federal Regulations, 2012 CFR

2012-10-01

... (CONTINUED) FINANCIAL ASSISTANCE-WILDLIFE SPORT FISH RESTORATION PROGRAM BOATING INFRASTRUCTURE GRANT (BIG) PROGRAM State Use of Signs and Sport Fish Restoration Symbols § 86.92 Who can use the SFR logo? The States...

50 CFR 86.93 - Where should I use the SFR logo?

Code of Federal Regulations, 2014 CFR

2014-10-01

... (CONTINUED) FINANCIAL ASSISTANCE-WILDLIFE AND SPORT FISH RESTORATION PROGRAM BOATING INFRASTRUCTURE GRANT (BIG) PROGRAM State Use of Signs and Sport Fish Restoration Symbols § 86.93 Where should I use the SFR...

50 CFR 86.92 - Who can use the SFR logo?

Code of Federal Regulations, 2014 CFR

2014-10-01

... (CONTINUED) FINANCIAL ASSISTANCE-WILDLIFE AND SPORT FISH RESTORATION PROGRAM BOATING INFRASTRUCTURE GRANT (BIG) PROGRAM State Use of Signs and Sport Fish Restoration Symbols § 86.92 Who can use the SFR logo...

50 CFR 86.92 - Who can use the SFR logo?

Code of Federal Regulations, 2013 CFR

2013-10-01

... (CONTINUED) FINANCIAL ASSISTANCE-WILDLIFE AND SPORT FISH RESTORATION PROGRAM BOATING INFRASTRUCTURE GRANT (BIG) PROGRAM State Use of Signs and Sport Fish Restoration Symbols § 86.92 Who can use the SFR logo...

50 CFR 86.90 - What are my responsibilities for information signs?

Code of Federal Regulations, 2012 CFR

2012-10-01

..., DEPARTMENT OF THE INTERIOR (CONTINUED) FINANCIAL ASSISTANCE-WILDLIFE SPORT FISH RESTORATION PROGRAM BOATING INFRASTRUCTURE GRANT (BIG) PROGRAM State Use of Signs and Sport Fish Restoration Symbols § 86.90 What are my...

50 CFR 86.92 - Who can use the SFR logo?

Code of Federal Regulations, 2010 CFR

2010-10-01

... (CONTINUED) FINANCIAL ASSISTANCE-WILDLIFE SPORT FISH RESTORATION PROGRAM BOATING INFRASTRUCTURE GRANT (BIG) PROGRAM State Use of Signs and Sport Fish Restoration Symbols § 86.92 Who can use the SFR logo? The States...

50 CFR 86.90 - What are my responsibilities for information signs?

Code of Federal Regulations, 2011 CFR

2011-10-01

..., DEPARTMENT OF THE INTERIOR (CONTINUED) FINANCIAL ASSISTANCE-WILDLIFE SPORT FISH RESTORATION PROGRAM BOATING INFRASTRUCTURE GRANT (BIG) PROGRAM State Use of Signs and Sport Fish Restoration Symbols § 86.90 What are my...

50 CFR 86.90 - What are my responsibilities for information signs?

Code of Federal Regulations, 2010 CFR

2010-10-01

..., DEPARTMENT OF THE INTERIOR (CONTINUED) FINANCIAL ASSISTANCE-WILDLIFE SPORT FISH RESTORATION PROGRAM BOATING INFRASTRUCTURE GRANT (BIG) PROGRAM State Use of Signs and Sport Fish Restoration Symbols § 86.90 What are my...

50 CFR 86.92 - Who can use the SFR logo?

Code of Federal Regulations, 2011 CFR

2011-10-01

... (CONTINUED) FINANCIAL ASSISTANCE-WILDLIFE SPORT FISH RESTORATION PROGRAM BOATING INFRASTRUCTURE GRANT (BIG) PROGRAM State Use of Signs and Sport Fish Restoration Symbols § 86.92 Who can use the SFR logo? The States...

The radiosensitive effect of apatinib for hepatocellular carcinoma patient with big paraspinal metastasis

PubMed Central

Zhu, Hong; Zhao, Yaqin; Wang, Xin

2018-01-01

Abstract Rationale: Hepatocellular carcinoma (HCC) is a highly invasive cancer associated with great mortality rates. The prognosis of advanced HCC is very poor. Patient concerns: Here, we report a HCC patient with a big paraspinal metastasis with 10 cm in diameter who failed the treatment of sorafenib. Diagnoses: Sorafenib refractory HCC with big paraspinal metastasis. Interventions: The concurrent treatment of apatinib with stereotactic body radiotherapy (SBRT). Outcomes: The paraspinal metastasis with 10 cm in diameter showed nearly complete response. Lessons: We think that the apatinib may be a good choice for HCC and it may function as a radiosensitizer of HCC. However, it warrants further investigation in the future prospective clinical studies. PMID:29480860

The Big-Fish-Little-Pond Effect: Generalizability of Social Comparison Processes over Two Age Cohorts from Western, Asian, and Middle Eastern Islamic Countries

ERIC Educational Resources Information Center

Marsh, Herbert W.; Abduljabbar, Adel Salah; Morin, Alexandre J. S.; Parker, Philip; Abdelfattah, Faisal; Nagengast, Benjamin; Abu-Hilal, Maher M.

2015-01-01

Extensive support for the seemingly paradoxical negative effects of school- and class-average achievement on academic self-concept (ASC)-the big-fish-little-pond effect (BFLPE)--is based largely on secondary students in Western countries or on cross-cultural Program for International Student Assessment studies. There is little research testing the…

Meeting the Challenge of Doing an RCT Evaluation of Youth Mentoring in Ireland: A Journey in Mixed Methods

ERIC Educational Resources Information Center

Brady, Bernadine; O'Regan, Connie

2009-01-01

The youth mentoring program Big Brothers Big Sisters is one of the first social interventions involving youth in Ireland to be evaluated using a randomized controlled trial methodology. This article sets out the design process undertaken, describing how the research team came to adopt a concurrent embedded mixed methods design as a means of…

Critique of "A Big Apple for Educators: New York City's Experiment with Schoolwide Performance Bonuses: Final Evaluation Report"

ERIC Educational Resources Information Center

Fallah, Soraya; Moradian, Cklara

2017-01-01

The purpose of this paper is to review and critique a groundbreaking research report. The research article under review in this paper is: "A Big Apple for Educators: New York City's Experiment with Schoolwide Performance Bonuses: Final Evaluation Report" (see ED521920). In 2007-08, a program called the Schoolwide Performance Bonus…

Putting Big Data to Work: Community Colleges Use Detailed Reports to Design Smarter Workforce Training and Education Programs

ERIC Educational Resources Information Center

Woods, Bob

2013-01-01

In this article, Bob Woods reports that "Big data" is all the rage on college campuses, and it makes sense that administrators would use what they know to boost student outcomes. Woods points out that community colleges around the country are using the data: (1) to guide the systematic expansion of its curriculum, providing targeted…

50 CFR 86.94 - What crediting language should I use?

Code of Federal Regulations, 2012 CFR

2012-10-01

... INTERIOR (CONTINUED) FINANCIAL ASSISTANCE-WILDLIFE SPORT FISH RESTORATION PROGRAM BOATING INFRASTRUCTURE GRANT (BIG) PROGRAM State Use of Signs and Sport Fish Restoration Symbols § 86.94 What crediting...: (a) Example 1: The Federal Aid in Sport Fish Restoration Program funded this facility thanks to your...

Little Package, Big Deal.

ERIC Educational Resources Information Center

Campbell, Joseph K.

1979-01-01

Describes New York State's extension experience in using the programable calculator, a portable pocket-size computer, to solve many of the problems that central computers now handle. Subscription services to programs written for the Texas Instruments TI-59 programable calculator are provided by both Cornell and Iowa State Universities. (MF)

50 CFR 86.94 - What crediting language should I use?

Code of Federal Regulations, 2010 CFR

2010-10-01

... INTERIOR (CONTINUED) FINANCIAL ASSISTANCE-WILDLIFE SPORT FISH RESTORATION PROGRAM BOATING INFRASTRUCTURE GRANT (BIG) PROGRAM State Use of Signs and Sport Fish Restoration Symbols § 86.94 What crediting...: (a) Example 1: The Federal Aid in Sport Fish Restoration Program funded this facility thanks to your...

50 CFR 86.94 - What crediting language should I use?

Code of Federal Regulations, 2011 CFR

2011-10-01

... INTERIOR (CONTINUED) FINANCIAL ASSISTANCE-WILDLIFE SPORT FISH RESTORATION PROGRAM BOATING INFRASTRUCTURE GRANT (BIG) PROGRAM State Use of Signs and Sport Fish Restoration Symbols § 86.94 What crediting...: (a) Example 1: The Federal Aid in Sport Fish Restoration Program funded this facility thanks to your...

Hydrologic data for the Larimer-Weld regional water-monitoring program, Colorado, 1975-82

USGS Publications Warehouse

Blakely, S.R.; Steinheimer, J.T.

1984-01-01

The Larimer-Weld, Colorado, regional Monitoring Program was begun in 1976 to provide information on the quality and quantity of the surface-water resources in the area. Three stations on the big Thompson River and five stations on the Cache La Poudre River were selected for a data-collection network. Four previously established stations were added to complete the data-collection network: Horsetooth Reservoir, Joe Wright Creek above and below Joe Wright Reservoir, and Michigan River near Cameron Pass. Station description, location, and period of record are given for each station. A statistical summary of the water-quality data for each station is tabulated. Frequency of occurrence is given at the 95th, 75th, 50th, and 25th percentiles. Monthly water-quality data and daily average streamflow data are tabulated for each streamflow station for which this data was collected; Monthly contents data are presented for Horsetooth Reservoir. All data tabulated and summarized are from the period October 1, 1975, through September 30, 1982. (USGS)

50 CFR 86.93 - Where should I use the SFR logo?

Code of Federal Regulations, 2012 CFR

2012-10-01

... (CONTINUED) FINANCIAL ASSISTANCE-WILDLIFE SPORT FISH RESTORATION PROGRAM BOATING INFRASTRUCTURE GRANT (BIG) PROGRAM State Use of Signs and Sport Fish Restoration Symbols § 86.93 Where should I use the SFR logo? You...

50 CFR 86.93 - Where should I use the SFR logo?

Code of Federal Regulations, 2011 CFR

2011-10-01

... (CONTINUED) FINANCIAL ASSISTANCE-WILDLIFE SPORT FISH RESTORATION PROGRAM BOATING INFRASTRUCTURE GRANT (BIG) PROGRAM State Use of Signs and Sport Fish Restoration Symbols § 86.93 Where should I use the SFR logo? You...

50 CFR 86.93 - Where should I use the SFR logo?

Code of Federal Regulations, 2010 CFR

2010-10-01

... (CONTINUED) FINANCIAL ASSISTANCE-WILDLIFE SPORT FISH RESTORATION PROGRAM BOATING INFRASTRUCTURE GRANT (BIG) PROGRAM State Use of Signs and Sport Fish Restoration Symbols § 86.93 Where should I use the SFR logo? You...

Gas Ring-Imagining Cherenkov (GRINCH) Detector for the Super BigBite Spectrometer at Jefferson Lab

NASA Astrophysics Data System (ADS)

Averett, Todd; Wojtsekhowski, Bogdan; Amidouch, Abdellah; Danagoulian, Samuel; Niculescu, Gabriel; Niculescu, Ioana; Jefferson Lab SBS Collaboration Collaboration

2017-01-01

A new gas Cherenkov detector is under construction for the upcoming SuperBigBite spectrometer research program in Hall A at Jefferson Lab. The existing BigBite spectrometer is being upgraded to handle expected increases in event rate and background rate due to the increased luminosity required for the experimental program. The detector will primarily be used to separate good electron events from significant pion and electromagnetic contamination. In contrast to typical gas Cherenkov detectors that use large-diameter photomultiplier tubes and charge integrating ADCs, this detector uses an array of 510 small-diameter tubes that are more than 25x less sensitive to background. Cherenkov radiation clusters will be identified in this array using fast TDCs and a narrow timing window relative to typical ADC gates. In addition, a new FPGA-based DAQ system is being tested to provide a PID trigger using real-time cluster finding. Details of the detector and current status of the project will be presented.

50 CFR 86.94 - What crediting language should I use?

Code of Federal Regulations, 2013 CFR

2013-10-01

... INTERIOR (CONTINUED) FINANCIAL ASSISTANCE-WILDLIFE AND SPORT FISH RESTORATION PROGRAM BOATING INFRASTRUCTURE GRANT (BIG) PROGRAM State Use of Signs and Sport Fish Restoration Symbols § 86.94 What crediting...: (a) Example 1: The Federal Aid in Sport Fish Restoration Program funded this facility thanks to your...

50 CFR 86.94 - What crediting language should I use?

Code of Federal Regulations, 2014 CFR

2014-10-01

... INTERIOR (CONTINUED) FINANCIAL ASSISTANCE-WILDLIFE AND SPORT FISH RESTORATION PROGRAM BOATING INFRASTRUCTURE GRANT (BIG) PROGRAM State Use of Signs and Sport Fish Restoration Symbols § 86.94 What crediting...: (a) Example 1: The Federal Aid in Sport Fish Restoration Program funded this facility thanks to your...

50 CFR 223.102 - Enumeration of threatened marine and anadromous species.

Code of Federal Regulations, 2014 CFR

2014-10-01

...; Imnaha River Program; Big Sheep Creek Program; McCall Hatchery Program; Johnson Creek Artificial... the U.S. Virgin Islands, and Cuba's EEZ, and further delineated by the following boundary lines... Aptos Creek, and all drainages of San Francisco and San Pablo Bays eastward to Chipps Island at the...

Little Evidence and Big Consequences: Understanding Special Education Voucher Programs

ERIC Educational Resources Information Center

Braun, Matthew

2017-01-01

This report examines the characteristics of state special education voucher programs along with the evidence base on their impact, effectiveness, and quality. The report, which finds that the program characteristics differ considerably across states and that the research is small, dated, and often funded by voucher proponents, identifies major…

75 FR 32201 - Tennessee National Wildlife Refuge, Henry, Benton, Decatur, and Humphreys Counties, TN

Federal Register 2010, 2011, 2012, 2013, 2014

2010-06-07

... Big Sandy peninsula. The cooperative farming and refuge staff (force account) program would continue... Alternative A in aiming to maintain existing habitat management programs, practices, and actions. Under... intensify existing habitat management programs, practices, and actions. We would improve the moist-soil...

A peek into the future of radiology using big data applications

PubMed Central

Kharat, Amit T.; Singhal, Shubham

2017-01-01

Big data is extremely large amount of data which is available in the radiology department. Big data is identified by four Vs – Volume, Velocity, Variety, and Veracity. By applying different algorithmic tools and converting raw data to transformed data in such large datasets, there is a possibility of understanding and using radiology data for gaining new knowledge and insights. Big data analytics consists of 6Cs – Connection, Cloud, Cyber, Content, Community, and Customization. The global technological prowess and per-capita capacity to save digital information has roughly doubled every 40 months since the 1980's. By using big data, the planning and implementation of radiological procedures in radiology departments can be given a great boost. Potential applications of big data in the future are scheduling of scans, creating patient-specific personalized scanning protocols, radiologist decision support, emergency reporting, virtual quality assurance for the radiologist, etc. Targeted use of big data applications can be done for images by supporting the analytic process. Screening software tools designed on big data can be used to highlight a region of interest, such as subtle changes in parenchymal density, solitary pulmonary nodule, or focal hepatic lesions, by plotting its multidimensional anatomy. Following this, we can run more complex applications such as three-dimensional multi planar reconstructions (MPR), volumetric rendering (VR), and curved planar reconstruction, which consume higher system resources on targeted data subsets rather than querying the complete cross-sectional imaging dataset. This pre-emptive selection of dataset can substantially reduce the system requirements such as system memory, server load and provide prompt results. However, a word of caution, “big data should not become “dump data” due to inadequate and poor analysis and non-structured improperly stored data. In the near future, big data can ring in the era of personalized and individualized healthcare. PMID:28744087

Age differences in the Big Five across the life span: evidence from two national samples.

PubMed

Donnellan, M Brent; Lucas, Richard E

2008-09-01

Cross-sectional age differences in the Big Five personality traits were investigated using 2 large datasets from Great Britain and Germany: the British Household Panel Study (BHPS; N > or = 14,039) and the German Socio-Economic Panel Study (GSEOP; N > or = 20,852). Participants, who ranged in age from 16 to the mid-80s, completed a 15-item version of the Big Five Inventory (e.g., John & Srivastava, 1999) in either 2005 or 2006. The observed age trends were generally consistent across both datasets. Extraversion and Openness were negatively associated with age, whereas Agreeableness was positively associated with age. Average levels of Conscientiousness were highest for participants in middle age. The only exception was Neuroticism, which was slightly negatively associated with age in the BHPS and slightly positively associated with age in the GSEOP. Neither gender nor education level were consistent moderators of age differences in the Big Five. (c) 2008 APA, all rights reserved

Teaching Introductory GIS Programming to Geographers Using an Open Source Python Approach

ERIC Educational Resources Information Center

Etherington, Thomas R.

2016-01-01

Computer programming is not commonly taught to geographers as a part of geographic information system (GIS) courses, but the advent of NeoGeography, big data and open GIS means that programming skills are becoming more important. To encourage the teaching of programming to geographers, this paper outlines a course based around a series of…

Curriculum Development Based on the Big Picture Assessment of the Mechanical Engineering Program

ERIC Educational Resources Information Center

Sabri, Mohd Anas Mohd; Khamis, Nor Kamaliana; Tahir, Mohd Faizal Mat; Wahid, Zaliha; Kamal, Ahmad; Ihsan, Ariffin Mohd; Sulong, Abu Bakar; Abdullah, Shahrum

2013-01-01

One of the major concerns of the Engineering Accreditation Council (EAC) is the need for an effective monitoring and evaluation of program outcome domains that can be associated with courses taught under the Mechanical Engineering program. However, an effective monitoring method that can determine the results of each program outcome using Bloom's…

Water Treatment Systems Make a Big Splash

NASA Technical Reports Server (NTRS)

2004-01-01

In the 1960s, NASA's Manned Space Center (now known as Johnson Space Center) and the Garrett Corporation, Air Research Division, conducted a research program to develop a small, lightweight water purifier for the Apollo spacecraft that would require minimal power and would not need to be monitored around-the-clock by astronauts in orbit. The 9-ounce purifier, slightly larger than a cigarette pack and completely chlorine-free, dispensed silver ions into the spacecraft s water supply to successfully kill off bacteria. A NASA Technical Brief released around the time of the research reported that the silver ions did not impart an unpleasant taste to the water. NASA s ingenuity to control microbial contamination in space caught on quickly, opening the doors for safer methods of controlling water pollutants on Earth.

Increasing the Mobility of Dismounted Marines

DTIC Science & Technology

2009-10-01

actually been the inspiration for military UGV development programs, including the Defense Advanced Research Projects Agency’s (DARPA) Legged Squad Support...or wheel-based; only the BigDog is a leg -based system. This presented BigDog with certain advantages (particularly involving its ability to traverse...1,000 pounds) Website: http://www.dtiweb.net/index.html 50 General Discussion: Ranlo The Ranlo – named after Defense Technologies, Inc.’s ( DTI

Eliminating the Lost Time Interval of Law Enforcement to Active Shooter Events in Schools

DTIC Science & Technology

2015-09-01

Bureau of Justice Assistance BJS Bureau of Justice Statistics BPD Blacksburg Police Department CPR cardiopulmonary resuscitation CSP...Big Brother and Big Sisters,11 and the Strengthening Families program.12 The Bureau of Justice Statistics (BJS) released the Indicators of School...result in school transfers or discipline were found to increase delinquency , dropout rate, and increased violence.44 Profiling students in an attempt

Big Five personality traits and performance anxiety in relation to marching arts satisfaction.

PubMed

Levy, Jacob J; Lounsbury, John W

2011-01-01

To examine the Big Five personality traits and performance anxiety in relation to marching arts satisfaction. Data were collected from 278 instrumentalists (i.e., brass players and percussionists) and color guard performers (e.g., dancers) representing six world class drum and bugle corps. PARTICIPANTS completed three measures: the Adolescent Personal Style Inventory was used to measure the Big Five personality factors: Agreeableness, Conscientiousness, Emotional Stability, Extraversion, and Openness; the Performance Anxiety Questionnaire - used to assess somatic and cognitive symptoms of performance anxiety; and the Marching Arts Satisfaction - used to assess for the physical, social, and contextual environments of drum and bugle corps. Correlation and multiple regression analyses revealed concurrent relationships between the Big Five and performance anxiety with satisfaction. A linear combination of the Big Five traits and Performance Anxiety accounted for 36% of the total variance in satisfaction, with Extraversion, Emotional Stability, and Performance Anxiety contributing significant unique variance. The findings of the present study suggest that performers who are extraverted, conscientious, and effective at managing general stress - and performance stress in particular - find a greater sense of satisfaction with their participation in world class drum and bugle corps.

Can the big five factors of personality predict lymphocyte counts?

PubMed

Ožura, Ana; Ihan, Alojz; Musek, Janek

2012-03-01

Psychological stress is known to affect the immune system. The Limbic Hypothalamic Pituitary Adrenal (LHPA) axis has been identified as the principal path of the bidirectional communication between the immune system and the central nervous system with significant psychological activators. Personality traits acted as moderators of the relationship between life conflicts and psychological distress. This study focuses on the relationship between the Big Five factors of personality and immune regulation as indicated by Lymphocyte counts. Our study included 32 professional soldiers from the Slovenian Army that completed the Big Five questionnaire (Goldberg IPIP-300). We also assessed their white blood cell counts with a detailed lymphocyte analysis using flow cytometry. The correlations between personality variables and immune system parameters were calculated. Furthermore, regression analyses were performed using personality variables as predictors and immune parameters as criteria. The results demonstrated that the model using the Big Five factors as predictors of Lymphocyte counts is significant in predicting the variance in NK and B cell counts. Agreeableness showed the strongest predictive function. The results offer support for the theoretical models that stressed the essential links between personality and immune regulation. Further studies with larger samples examining the Big five factors and immune system parameters are needed.

Information Literacy--Where Do We Go from Here?

ERIC Educational Resources Information Center

Koch, Melissa

2001-01-01

Defines information literacy and discusses ways that teachers can integrate it into the curriculum. Topics include education policy; funding for technology; standards, particularly state standards; separate standards for library media programs; assessment; and using the Big6 program. (LRW)

Phenotypic and genetic associations between the big five and trait emotional intelligence.

PubMed

Vernon, Philip A; Villani, Vanessa C; Schermer, Julie Aitken; Petrides, K V

2008-10-01

This study reports the first behavioral genetic investigation of the extent to which genetic and/or environmental factors contribute to the relationship between the Big Five personality factors and trait emotional intelligence. 213 pairs of adult monozygotic twins and 103 pairs of same-sex dizygotic twins completed the NEO-PI-R and the Trait Emotional Intelligence Questionnaire (TEIQue). Replicating previous non-twin studies, many significant phenotypic correlations were found between the Big Five factors - especially Neuroticism, Extraversion, and Conscientiousness - and the facets, factors, and global scores derived from the TEIQue. Bivariate behavioral genetic model-fitting analyses revealed that these phenotypic correlations were primarily attributable to correlated genetic factors and secondarily to correlated non-shared environmental factors. The results support the feasibility of incorporating EI as a trait within existing personality taxonomies.

Creative thinking and Big Five factors of personality measured in Italian schoolchildren.

PubMed

De Caroli, Maria Elvira; Sagone, Elisabetta

2009-12-01

This study examined the relations of creative thinking with Big Five factors of personality and the differences by sex and age on creativity. A sample of Italian schoolchildren (56 boys, 56 girls), between 8 to 10 years of age, completed the Test of Creative Thinking and the Big Five Questionnaire for Children. Analysis of results indicated that older children obtained significantly higher scores than the younger ones on Elaboration and Production of titles. Girls obtained significantly higher scores than boys on Originality and Elaboration. The results suggested a modest and negative relation of Flexibility with Conscientiousness and Production of titles with Emotional instability. These findings support the need to explore the connection between creativity and personality with developmental age by means of multiple tasks for evaluating creative thinking.

Big data science: A literature review of nursing research exemplars.

PubMed

Westra, Bonnie L; Sylvia, Martha; Weinfurter, Elizabeth F; Pruinelli, Lisiane; Park, Jung In; Dodd, Dianna; Keenan, Gail M; Senk, Patricia; Richesson, Rachel L; Baukner, Vicki; Cruz, Christopher; Gao, Grace; Whittenburg, Luann; Delaney, Connie W

Big data and cutting-edge analytic methods in nursing research challenge nurse scientists to extend the data sources and analytic methods used for discovering and translating knowledge. The purpose of this study was to identify, analyze, and synthesize exemplars of big data nursing research applied to practice and disseminated in key nursing informatics, general biomedical informatics, and nursing research journals. A literature review of studies published between 2009 and 2015. There were 650 journal articles identified in 17 key nursing informatics, general biomedical informatics, and nursing research journals in the Web of Science database. After screening for inclusion and exclusion criteria, 17 studies published in 18 articles were identified as big data nursing research applied to practice. Nurses clearly are beginning to conduct big data research applied to practice. These studies represent multiple data sources and settings. Although numerous analytic methods were used, the fundamental issue remains to define the types of analyses consistent with big data analytic methods. There are needs to increase the visibility of big data and data science research conducted by nurse scientists, further examine the use of state of the science in data analytics, and continue to expand the availability and use of a variety of scientific, governmental, and industry data resources. A major implication of this literature review is whether nursing faculty and preparation of future scientists (PhD programs) are prepared for big data and data science. Copyright © 2016 Elsevier Inc. All rights reserved.

Chicago Business Leaders Flex Their Muscles.

ERIC Educational Resources Information Center

Hallan, Mary A.

1992-01-01

Describes the establishment, achievements, and continued success of the Big Shoulders Fund, through which Chicago's business community assists local Catholic innercity schools. Explains how the program provides operating grants, building improvements, scholarships, teacher training programs, mobile classrooms, and endowment funds for schools…

Visualization at Supercomputing Centers: The Tale of Little Big Iron and the Three Skinny Guys

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

Bethel, E. Wes; van Rosendale, John; Southard, Dale

2010-12-01

Supercomputing Centers (SC's) are unique resources that aim to enable scientific knowledge discovery through the use of large computational resources, the Big Iron. Design, acquisition, installation, and management of the Big Iron are activities that are carefully planned and monitored. Since these Big Iron systems produce a tsunami of data, it is natural to co-locate visualization and analysis infrastructure as part of the same facility. This infrastructure consists of hardware (Little Iron) and staff (Skinny Guys). Our collective experience suggests that design, acquisition, installation, and management of the Little Iron and Skinny Guys does not receive the same level ofmore » treatment as that of the Big Iron. The main focus of this article is to explore different aspects of planning, designing, fielding, and maintaining the visualization and analysis infrastructure at supercomputing centers. Some of the questions we explore in this article include:"How should the Little Iron be sized to adequately support visualization and analysis of data coming off the Big Iron?" What sort of capabilities does it need to have?" Related questions concern the size of visualization support staff:"How big should a visualization program be (number of persons) and what should the staff do?" and"How much of the visualization should be provided as a support service, and how much should applications scientists be expected to do on their own?"« less

Big6 by the Month: A New Approach

ERIC Educational Resources Information Center

Eisenberg, Michael B.; Murray, Janet

2011-01-01

It's time for a sweeping new approach to information literacy learning! The sad truth is that few, if any, information literacy efforts in schools have fulfilled the promise of a "comprehensive" information literacy program: (1) A comprehensive program should reach "all" students in the school; (2) A comprehensive program should be "predictable"…

Houghton Mifflin Reading©. What Works Clearinghouse Intervention Report

ERIC Educational Resources Information Center

What Works Clearinghouse, 2015

2015-01-01

"Houghton Mifflin Reading"© is a reading program designed for grades K-6. The program provides step-by-step instruction in reading using Big Books (fiction and nonfiction literature), anthologies, Read Aloud books, and audio compact discs. The product is designed to be used as a full-year curriculum program with instruction on developing…

Creswell's Energy Efficient Construction Program: A Big Project for a Small School.

ERIC Educational Resources Information Center

Kelsh, Bruce

1982-01-01

In Creswell (Oregon) High School's award winning vocational education program, students study energy efficient construction along with basic building skills. Part of the program has been the active recruitment of female, minority, disadvantaged, and handicapped students into the vocational area. Students have assembled solar hot water collectors,…

Data Intensive Computing on Amazon Web Services

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

Magana-Zook, S. A.

The Geophysical Monitoring Program (GMP) has spent the past few years building up the capability to perform data intensive computing using what have been referred to as “big data” tools. These big data tools would be used against massive archives of seismic signals (>300 TB) to conduct research not previously possible. Examples of such tools include Hadoop (HDFS, MapReduce), HBase, Hive, Storm, Spark, Solr, and many more by the day. These tools are useful for performing data analytics on datasets that exceed the resources of traditional analytic approaches. To this end, a research big data cluster (“Cluster A”) was setmore » up as a collaboration between GMP and Livermore Computing (LC).« less

The Cost of Commonality: Assessing Value in Joint Programs

DTIC Science & Technology

2015-12-01

was the case with the U.S. auto market “ Big Three” during the 2008–2010 automotive industry crisis, it is not profitable to simply produce goods...Newsome, & Lewis, 2008). Common logistics warehouses and distribution centers that support system sustainment are important mechanisms for lowering...Artery Tunnel Project, also known as the Big Dig. This megaproject was the most expensive highway construction effort in U.S. history. It was finally

Cool Cosmology: ``WHISPER" better than ``BANG"

NASA Astrophysics Data System (ADS)

Carr, Paul

2007-10-01

Cosmologist Fred Hoyle coined ``big bang'' as a term of derision for Belgian priest George Lemaitre's prediction that the universe had originated from the expansion of a ``primeval atom'' in space-time. Hoyle referred to Lamaitre's hypothesis sarcastically as ``this big bang idea'' during a program broadcast on March 28, 1949 on the BBC. Hoyle's continuous creation or steady state theory can not explain the microwave background radiation or cosmic whisper discovered by Penzias and Wilson in 1964. The expansion and subsequent cooling of Lemaitre's hot ``primeval atom'' explains the whisper. ``Big bang'' makes no physical sense, as there was no matter (or space) to carry the sound that Hoyle's term implies. The ``big bang'' is a conjecture. New discoveries may be able to predict the observed ``whispering cosmos'' as well as dark matter and the nature of dark energy. The ``whispering universe'' is cooler cosmology than the big bang. Reference: Carr, Paul H. 2006. ``From the 'Music of the Spheres' to the 'Whispering Cosmos.' '' Chapter 3 of Beauty in Science and Spirit. Beech River Books. Center Ossipee, NH, http://www.MirrorOfNature.org.

Corporate Social Responsibility programs of Big Food in Australia: a content analysis of industry documents.

PubMed

Richards, Zoe; Thomas, Samantha L; Randle, Melanie; Pettigrew, Simone

2015-12-01

To examine Corporate Social Responsibility (CSR) tactics by identifying the key characteristics of CSR strategies as described in the corporate documents of selected 'Big Food' companies. A mixed methods content analysis was used to analyse the information contained on Australian Big Food company websites. Data sources included company CSR reports and web-based content that related to CSR initiatives employed in Australia. A total of 256 CSR activities were identified across six organisations. Of these, the majority related to the categories of environment (30.5%), responsibility to consumers (25.0%) or community (19.5%). Big Food companies appear to be using CSR activities to: 1) build brand image through initiatives associated with the environment and responsibility to consumers; 2) target parents and children through community activities; and 3) align themselves with respected organisations and events in an effort to transfer their positive image attributes to their own brands. Results highlight the type of CSR strategies Big Food companies are employing. These findings serve as a guide to mapping and monitoring CSR as a specific form of marketing. © 2015 Public Health Association of Australia.

Using Ethical Reasoning to Amplify the Reach and Resonance of Professional Codes of Conduct in Training Big Data Scientists.

PubMed

Tractenberg, Rochelle E; Russell, Andrew J; Morgan, Gregory J; FitzGerald, Kevin T; Collmann, Jeff; Vinsel, Lee; Steinmann, Michael; Dolling, Lisa M

2015-12-01

The use of Big Data--however the term is defined--involves a wide array of issues and stakeholders, thereby increasing numbers of complex decisions around issues including data acquisition, use, and sharing. Big Data is becoming a significant component of practice in an ever-increasing range of disciplines; however, since it is not a coherent "discipline" itself, specific codes of conduct for Big Data users and researchers do not exist. While many institutions have created, or will create, training opportunities (e.g., degree programs, workshops) to prepare people to work in and around Big Data, insufficient time, space, and thought have been dedicated to training these people to engage with the ethical, legal, and social issues in this new domain. Since Big Data practitioners come from, and work in, diverse contexts, neither a relevant professional code of conduct nor specific formal ethics training are likely to be readily available. This normative paper describes an approach to conceptualizing ethical reasoning and integrating it into training for Big Data use and research. Our approach is based on a published framework that emphasizes ethical reasoning rather than topical knowledge. We describe the formation of professional community norms from two key disciplines that contribute to the emergent field of Big Data: computer science and statistics. Historical analogies from these professions suggest strategies for introducing trainees and orienting practitioners both to ethical reasoning and to a code of professional conduct itself. We include two semester course syllabi to strengthen our thesis that codes of conduct (including and beyond those we describe) can be harnessed to support the development of ethical reasoning in, and a sense of professional identity among, Big Data practitioners.

50 CFR 86.117 - [Reserved

Code of Federal Regulations, 2010 CFR

2010-10-01

... 50 Wildlife and Fisheries 6 2010-10-01 2010-10-01 false [Reserved] 86.117 Section 86.117 Wildlife and Fisheries UNITED STATES FISH AND WILDLIFE SERVICE, DEPARTMENT OF THE INTERIOR (CONTINUED) FINANCIAL ASSISTANCE-WILDLIFE SPORT FISH RESTORATION PROGRAM BOATING INFRASTRUCTURE GRANT (BIG) PROGRAM How...

50 CFR 86.135 - [Reserved

Code of Federal Regulations, 2010 CFR

2010-10-01

... 50 Wildlife and Fisheries 6 2010-10-01 2010-10-01 false [Reserved] 86.135 Section 86.135 Wildlife and Fisheries UNITED STATES FISH AND WILDLIFE SERVICE, DEPARTMENT OF THE INTERIOR (CONTINUED) FINANCIAL ASSISTANCE-WILDLIFE SPORT FISH RESTORATION PROGRAM BOATING INFRASTRUCTURE GRANT (BIG) PROGRAM How...

Modified big-bubble technique compared to manual dissection deep anterior lamellar keratoplasty in the treatment of keratoconus.

PubMed

Knutsson, Karl Anders; Rama, Paolo; Paganoni, Giorgio

2015-08-01

To evaluate the clinical findings and results of manual dissection deep anterior lamellar keratoplasty (DALK) compared to a modified big-bubble DALK technique in eyes affected by keratoconus. Sixty eyes of 60 patients with keratoconus were treated with one of the two surgical techniques manual DALK (n = 30); big-bubble DALK (n = 30). The main outcomes measured were visual acuity, corneal topographic parameters, thickness of residual stroma and endothelial cell density (ECD). Patients were examined postoperatively at 1 month, 6 months, 1 year and 1 month after suture removal. Final best spectacle-corrected visual acuity (BSCVA) measured 1 month after suture removal was 0.11 ± 0.08 LogMAR in the big-bubble group compared to 0.13 ± 0.08 in the manual DALK group (p = 0.227). In patients treated with the big-bubble technique without complications (Descemet's membrane completely bared), the stromal residue was not measureable. Mean stromal residual thickness in the manual DALK group was 30.50 ± 27.60 μm. Data analysis of the manual DALK group demonstrated a significant correlation between BSCVA and residual stromal thickness; lower residual stromal thickness correlated with better BSCVA values (Spearman ρ = 0.509, p = 0.018). Postoperative ECD was similar in both groups at all intervals, with no statistically significant differences. In both groups, ECD loss was only significant during the 1- to 6-month interval (p = 0.001 and p < 0.001 in the big-bubble DALK and manual DALK groups, respectively). Manual DALK provides comparable results to big-bubble DALK. Big-bubble DALK permits faster visual recovery and is a surgical technique, which can be easily converted to manual DALK in cases of unsuccessful 'big-bubble' formation. © 2015 Acta Ophthalmologica Scandinavica Foundation. Published by John Wiley & Sons Ltd.

Associations between empathy and big five personality traits among Chinese undergraduate medical students.

PubMed

Song, Yang; Shi, Meng

2017-01-01

Empathy promotes positive physician-patient communication and is associated with improved patient satisfaction, treatment adherence and clinical outcomes. It has been suggested that personality traits should be taken into consideration in programs designed to enhance empathy in medical education due to the association found between personality and empathy among medical students. However, the associations between empathy and big five personality traits in medical education are still underrepresented in the existing literature and relevant studies have not been conducted among medical students in China, where tensions in the physician-patient relationship have been reported as outstanding problems in the context of China's current medical reform. Thus, the main objective of this study was to examine the associations between empathy and big five personality traits among Chinese medical students. A cross-sectional study was conducted in a medical university in Northeast China in June 2016. Self-reported questionnaires including the Interpersonal Reactivity Index (IRI) and Big Five Inventory (BFI) and demographic characteristics were distributed. A total of 530 clinical medical students became our final subjects. Hierarchical regression analysis was performed to explore the effects of big five personality traits on empathy. Results of this study showed that big five personality traits accounted for 19.4%, 18.1%, 30.2% of the variance in three dimensions of empathy, namely, perspective taking, empathic concern and personal distress, respectively. Specifically, agreeableness had a strong positive association with empathic concern (β = 0.477, P<0.01), and a moderate association with perspective taking (β = 0.349, P<0.01). Neuroticism was strongly associated with personal distress (β = 0.526, P<0.01) and modestly associated with perspective taking (β = 0.149, P<0.01). Openness to experience had modest associations with perspective taking (β = 0.150, P<0.01) and personal distress (β = -0.160, P<0.01). Conscientiousness had a modest association with perspective taking (β = 0.173, P<0.01). This study revealed that big five personality traits were important predictors of self-reported measures of both cognitive and affective empathy among Chinese medical students. Therefore, individualized intervention strategies based on personality traits could be integrated into programs to enhance empathy in medical education.

The NASA Beyond Einstein Program

NASA Technical Reports Server (NTRS)

White, Nicholas E.

2004-01-01

The Laser Interferometer Space Antenna (LISA) mission is part of NASA s Beyond Einstein program. This program seeks to answer the questions What Powered the Big Bang?, What happens at the edge of a Black Hole?, and What is Dark Energy?. LISA IS the first mission to be launched in this new program. This paper will give an overview of the Beyond Einstein program, its current status and where LISA fits in.

Disease surveillance and private sector in the metropolitans: a troublesome collaboration.

PubMed

Ahmadi, Ayat; Nedjat, Saharnaz; Gholami, Jaleh; Majdzadeh, Reza

2013-09-01

An effective response to health problems is completely dependent upon the capacities of the health system in providing timely and valid information to take action. This study was designed to identify various reasons from various perspectives for underreporting disease by physicians in the private sector in big cities in developing countries setting. In this qualitative study, we used focus group discussions (16 manager), and in-depth semi-structured interviews. Themes were classified in 6 categories: Infrastructure and legal issues, the priority of disease reporting, workflow processes, motivation and attitude, human resources and knowledge and awareness. As the main reasons of under reporting, most physicians pointed out complicacy in reporting process and inadequate attention by the public sector. Managers emphasized instituting legal incentives and penalties. Experts focused on physicians' knowledge and expressed a need for continuing medical education programs. Independent interventions will have little chance of success and sustainability. Different intervention programs should consider legal issues, attitude and knowledge of physicians in the private sector, and building a simple reporting process for physicians. Intervention programs in which the reporting process offers incentives for all stakeholders can help improving and sustaining the disease reporting system.

Disease Surveillance and Private Sector in the Metropolitans: A Troublesome Collaboration

PubMed Central

Ahmadi, Ayat; Nedjat, Saharnaz; Gholami, Jaleh; Majdzadeh, Reza

2013-01-01

Background: An effective response to health problems is completely dependent upon the capacities of the health system in providing timely and valid information to take action. This study was designed to identify various reasons from various perspectives for underreporting disease by physicians in the private sector in big cities in developing countries setting. Methods: In this qualitative study, we used focus group discussions (16 manager), and in-depth semi-structured interviews Results: Themes were classified in 6 categories: Infrastructure and legal issues, the priority of disease reporting, workflow processes, motivation and attitude, human resources and knowledge and awareness. As the main reasons of under reporting, most physicians pointed out complicacy in reporting process and inadequate attention by the public sector. Managers emphasized instituting legal incentives and penalties. Experts focused on physicians’ knowledge and expressed a need for continuing medical education programs. Conclusions: Independent interventions will have little chance of success and sustainability. Different intervention programs should consider legal issues, attitude and knowledge of physicians in the private sector, and building a simple reporting process for physicians. Intervention programs in which the reporting process offers incentives for all stakeholders can help improving and sustaining the disease reporting system. PMID:24130945

The LSSTC Data Science Fellowship Program

NASA Astrophysics Data System (ADS)

Miller, Adam; Walkowicz, Lucianne; LSSTC DSFP Leadership Council

2017-01-01

The Large Synoptic Survey Telescope Corporation (LSSTC) Data Science Fellowship Program (DSFP) is a unique professional development program for astronomy graduate students. DSFP students complete a series of six, one-week long training sessions over the course of two years. The sessions are cumulative, each building on the last, to allow an in-depth exploration of the topics covered: data science basics, statistics, image processing, machine learning, scalable software, data visualization, time-series analysis, and science communication. The first session was held in Aug 2016 at Northwestern University, with all materials and lectures publicly available via github and YouTube. Each session focuses on a series of technical problems which are written in iPython notebooks. The initial class of fellows includes 16 students selected from across the globe, while an additional 14 fellows will be added to the program in year 2. Future sessions of the DSFP will be hosted by a rotating cast of LSSTC member institutions. The DSFP is designed to supplement graduate education in astronomy by teaching the essential skills necessary for dealing with big data, serving as a resource for all in the LSST era. The LSSTC DSFP is made possible by the generous support of the LSST Corporation, the Data Science Initiative (DSI) at Northwestern, and CIERA.

Effect of Exercise on Motor and Nonmotor Symptoms of Parkinson's Disease

PubMed Central

Dashtipour, Khashayar; Johnson, Eric; Kani, Camellia; Kani, Kayvan; Hadi, Ehsan; Ghamsary, Mark; Pezeshkian, Shant; Chen, Jack J.

2015-01-01

Background. Novel rehabilitation strategies have demonstrated potential benefits for motor and non-motor symptoms of Parkinson's disease (PD). Objective. To compare the effects of Lee Silverman Voice Therapy BIG (LSVT BIG therapy) versus a general exercise program (combined treadmill plus seated trunk and limb exercises) on motor and non-motor symptoms of PD. Methods. Eleven patients with early-mid stage PD participated in the prospective, double-blinded, randomized clinical trial. Both groups received 16 one-hour supervised training sessions over 4 weeks. Outcome measures included the Unified Parkinson's Disease Rating Scale (UPDRS), Beck Depression Inventory (BDI), Beck Anxiety Inventory (BAI) and Modified Fatigue Impact Scale (MFIS). Five patients performed general exercise and six patients performed LSVT BIG therapy. Post-intervention evaluations were conducted at weeks 4, 12 and 24. Results. The combined cohort made improvements at all follow-up evaluations with statistical significance for UPDRS total and motor, BDI, and MFIS (P < 0.05). Conclusion. This study demonstrated positive effects of general exercise and LSVT BIG therapy on motor and non-motor symptoms of patients with PD. Our results suggest that general exercise may be as effective as LSVT BIG therapy on symptoms of PD for patients not able to readily access outpatient LSVT BIG therapy. PMID:25722915

Incremental Validity of the Trait Emotional Intelligence Questionnaire-Short Form (TEIQue-SF).

PubMed

Siegling, A B; Vesely, Ashley K; Petrides, K V; Saklofske, Donald H

2015-01-01

This study examined the incremental validity of the adult short form of the Trait Emotional Intelligence Questionnaire (TEIQue-SF) in predicting 7 construct-relevant criteria beyond the variance explained by the Five-factor model and coping strategies. Additionally, the relative contributions of the questionnaire's 4 subscales were assessed. Two samples of Canadian university students completed the TEIQue-SF, along with measures of the Big Five, coping strategies (Sample 1 only), and emotion-laden criteria. The TEIQue-SF showed consistent incremental effects beyond the Big Five or the Big Five and coping strategies, predicting all 7 criteria examined across the 2 samples. Furthermore, 2 of the 4 TEIQue-SF subscales accounted for the measure's incremental validity. Although the findings provide good support for the validity and utility of the TEIQue-SF, directions for further research are emphasized.

Trait Emotional Intelligence and Personality

PubMed Central

Furnham, Adrian; Petrides, K. V.

2015-01-01

This study investigated if the linkages between trait emotional intelligence (trait EI) and the Five-Factor Model of personality were invariant between men and women. Five English-speaking samples (N = 307-685) of mostly undergraduate students each completed a different measure of the Big Five personality traits and either the full form or short form of the Trait Emotional Intelligence Questionnaire (TEIQue). Across samples, models predicting global TEIQue scores from the Big Five were invariant between genders, with Neuroticism and Extraversion being the strongest trait EI correlates, followed by Conscientiousness, Agreeableness, and Openness. However, there was some evidence indicating that the gender-specific contributions of the Big Five to trait EI vary depending on the personality measure used, being more consistent for women. Discussion focuses on the validity of the TEIQue as a measure of trait EI and its psychometric properties, more generally. PMID:25866439

Design and development of a medical big data processing system based on Hadoop.

PubMed

Yao, Qin; Tian, Yu; Li, Peng-Fei; Tian, Li-Li; Qian, Yang-Ming; Li, Jing-Song

2015-03-01

Secondary use of medical big data is increasingly popular in healthcare services and clinical research. Understanding the logic behind medical big data demonstrates tendencies in hospital information technology and shows great significance for hospital information systems that are designing and expanding services. Big data has four characteristics--Volume, Variety, Velocity and Value (the 4 Vs)--that make traditional systems incapable of processing these data using standalones. Apache Hadoop MapReduce is a promising software framework for developing applications that process vast amounts of data in parallel with large clusters of commodity hardware in a reliable, fault-tolerant manner. With the Hadoop framework and MapReduce application program interface (API), we can more easily develop our own MapReduce applications to run on a Hadoop framework that can scale up from a single node to thousands of machines. This paper investigates a practical case of a Hadoop-based medical big data processing system. We developed this system to intelligently process medical big data and uncover some features of hospital information system user behaviors. This paper studies user behaviors regarding various data produced by different hospital information systems for daily work. In this paper, we also built a five-node Hadoop cluster to execute distributed MapReduce algorithms. Our distributed algorithms show promise in facilitating efficient data processing with medical big data in healthcare services and clinical research compared with single nodes. Additionally, with medical big data analytics, we can design our hospital information systems to be much more intelligent and easier to use by making personalized recommendations.

The Online Big Blue Test for Promoting Exercise: Health, Self-Efficacy, and Social Support.

PubMed

Gómez-Zúñiga, Beni; Pousada, Modesta; Hernandez, Manny M; Colberg, Sheri; Gabarrón, Elia; Armayones, Manuel

2015-10-01

Recent articles have documented the influence of self-efficacy and social support on exercising. Simultaneously, insulin use is also related to the perception of self-efficacy and social support in patients with diabetes. We combine these two ideas through the Big Blue Test experience in a social networking site and propose to analyze whether a change in blood sugar levels after completion of the Big Blue Test and insulin use are related to the perception of self-efficacy and social support in patients with diabetes. To undergo the Big Blue Test, 3,926 participants voluntarily joined the Diabetes Hands Foundation. Responses were analyzed using descriptive analysis. The participants who reduced their blood glucose after exercise the least were those with lower self-efficacy and also with lower perceived social support. There seems to have been no relationship between changes in blood sugar level and the explicit intention of doing exercise in the future. Insulin-dependent participants demonstrated a lower perception of self-efficacy and social support than non-insulin-dependent participants. Change in blood glucose level or being insulin-dependent or not do not explain completely a health behavior such as exercise. Hence, self-efficacy and social support have an impact on behavioral change such as exercise to become a habit in people with diabetes, and this experience through a social networking site is an important tool for this behavioral change. For exercise to become a habit in people with diabetes, it is necessary to consider not only the crucial physiological variables, but also those psychological variables that clearly have an impact on behavioral change.

Mentoring Program Enhancements Supporting Effective Mentoring of Children of Incarcerated Parents.

PubMed

Stump, Kathryn N; Kupersmidt, Janis B; Stelter, Rebecca L; Rhodes, Jean E

2018-04-26

Children of incarcerated parents (COIP) are at risk for a range of negative outcomes; however, participating in a mentoring relationship can be a promising intervention for these youth. This study examined the impact of mentoring and mentoring program enhancements on COIP. Secondary data analyses were conducted on an archival database consisting of 70,729 matches from 216 Big Brothers Big Sisters (BBBS) local agencies to establish the differential effects of mentoring on COIP. A subset of 45 BBBS agencies, representing 25,252 matches, participated in a telephone interview about program enhancements for better serving COIP. Results revealed that enhanced program practices, including having specific program goals, providing specialized mentor training, and receiving additional funding resulted in better outcomes for COIP matches. Specifically, specialized mentor training and receiving additional funding for serving matches containing COIP were associated with longer and stronger matches. Having specific goals for serving COIP was associated with higher educational expectations in COIP. Results are discussed in terms of benefits of a relationship-based intervention for addressing the needs of COIP and suggestions for program improvements when mentoring programs are serving this unique population of youth. © Society for Community Research and Action 2018.

Reliable, Memory Speed Storage for Cluster Computing Frameworks

DTIC Science & Technology

2014-06-16

specification API that can capture computations in many of today’s popular data -parallel computing models, e.g., MapReduce and SQL. We also ported the Hadoop ...today’s big data workloads: • Immutable data : Data is immutable once written, since dominant underlying storage systems, such as HDFS [3], only support...network transfers, so reads can be data -local. • Program size vs. data size: In big data processing, the same operation is repeatedly applied on massive

Learning on the Big Bay

ERIC Educational Resources Information Center

Philp, Michael J.

1978-01-01

Anne Arundel Community College uses the Chesapeake Bay for a flexible ocean engineering technology program which includes mechanical, electrical, and environmental options for transfer and/or vocational students, and adult education programs covering such subjects as sailing, Bay history, boat building, scuba-diving, and marine biology. (RT)

77 FR 54923 - Minor Boundary Revision at Big Thicket National Preserve

Federal Register 2010, 2011, 2012, 2013, 2014

2012-09-06

... locations: National Park Service, Intermountain Region Land Resources Program Center, 12795 West Alameda... 20240. DATES: The effective date of this boundary revision is September 6, 2012. FOR FURTHER INFORMATION CONTACT: National Park Service, Chief Realty Officer, Intermountain Region Resources Program Center, 12795...

Little People, Big Helpers: Implementing Elementary Peer Programs Is Possible and Powerful

ERIC Educational Resources Information Center

Townsend, Ashley C.

2013-01-01

In the last few years, peer programs have grown in popularity around the country, supported by a growing body of research and the rewards of seeing teenagers' lives changed. Elementary peer programs, with their different set of typical issues, schedule demands, and personnel availability, are certainly different from their middle- and high-school…

Image Processing Algorithms in the Secondary School Programming Education

ERIC Educational Resources Information Center

Gerják, István

2017-01-01

Learning computer programming for students of the age of 14-18 is difficult and requires endurance and engagement. Being familiar with the syntax of a computer language and writing programs in it are challenges for youngsters, not to mention that understanding algorithms is also a big challenge. To help students in the learning process, teachers…

50 CFR 86.80 - What are my reporting requirements for this grant program?

Code of Federal Regulations, 2010 CFR

2010-10-01

... 50 Wildlife and Fisheries 6 2010-10-01 2010-10-01 false What are my reporting requirements for this grant program? 86.80 Section 86.80 Wildlife and Fisheries UNITED STATES FISH AND WILDLIFE SERVICE... INFRASTRUCTURE GRANT (BIG) PROGRAM Reporting Requirements for the States § 86.80 What are my reporting...

50 CFR 86.72 - Do any other Federal requirements apply to this program?

Code of Federal Regulations, 2010 CFR

2010-10-01

... 50 Wildlife and Fisheries 6 2010-10-01 2010-10-01 false Do any other Federal requirements apply to this program? 86.72 Section 86.72 Wildlife and Fisheries UNITED STATES FISH AND WILDLIFE SERVICE... INFRASTRUCTURE GRANT (BIG) PROGRAM How States Manage Grants § 86.72 Do any other Federal requirements apply to...

"I Am Not a Big Man": Evaluation of the Issue Investigation Program

ERIC Educational Resources Information Center

Cincera, Jan; Simonova, Petra

2017-01-01

The article evaluates a Czech environmental education program focused on developing competence in issue investigation. In the evaluation, a simple quasi-experimental design with experimental (N = 200) and control groups was used. The results suggest that the program had a greater impact on girls than on boys, and that it increased their internal…

The Big Five personality dimensions and mental health: The mediating role of alexithymia.

PubMed

Atari, Mohammad; Yaghoubirad, Mahsa

2016-12-01

The role of personality constructs on mental health has attracted research attention in the last few decades. The Big Five personality traits have been introduced as parsimonious dimensions of non-pathological traits. The five-factor model of personality includes neuroticism, agreeableness, conscientiousness, extraversion, and openness to experience. The present study aimed to examine the relationship between the Big Five dimensions and mental health considering the mediating role of alexithymia as an important emotional-processing construct. A total of 257 participants were recruited from non-clinical settings in the general population. All participants completed the Ten-Item Personality Inventory (TIPI), 20-item Toronto Alexithymia Scale (TAS-20), and General Health Questionnaire-28 (GHQ-28). Structural equation modeling was utilized to examine the hypothesized mediated model. Findings indicated that the Big Five personality dimensions could significantly predict scores of alexithymia. Moreover, alexithymia could predict mental health scores as measured by indices of depression, anxiety, social functioning, and somatic symptoms. The fit indices (GFI=0.94; CFI=0.91; TLI=0.90; RMSEA=0.071; CMIN/df=2.29) indicated that the model fits the data. Therefore, the relationship between the Big Five personality dimensions and mental health is mediated by alexithymia. Copyright © 2016 Elsevier B.V. All rights reserved.

Relations of the Big-Five personality dimensions to autodestructive behavior in clinical and non-clinical adolescent populations.

PubMed

Kotrla Topic, Marina; Perkovic Kovacevic, Marina; Mlacic, Boris

2012-10-01

To examine the relationship between the Big-Five personality model and autodestructive behavior symptoms, namely Autodestructiveness and Suicidal Depression in two groups of participants: clinical and non-clinical adolescents. Two groups of participants, clinical (adolescents with diagnosis of psychiatric disorder based on clinical impression and according to valid diagnostic criteria, N=92) and non-clinical (high-school students, N=87), completed two sets of questionnaires: the Autodestructiveness Scale which provided data on Autodestructiveness and Suicidal Depression, and the International Personality Item Pool (IPIP), which provided data on the Big -Five personality dimensions. Clinical group showed significantly higher values on the Autodestructiveness scale in general, as well as on Suicidal Depression, Aggressiveness, and Borderline subscales than the non-clinical group. Some of the dimensions of the Big-Five personality model, ie, Emotional Stability, Conscientiousness, and Agreeableness showed significant relationship (hierarchical regression analyses, P values for β coefficients from 0.000 to 0.021) with Autodestructiveness and Suicidal Depression, even after controlling for the sex and group effects or, when analyzing Suicidal Depression, after controlling the effect of other subscales. The results indicate that dimensions of the Big-Five model are important when evaluating adolescent psychiatric patients and adolescents from general population at risk of self-destructive behavior.

Trends in IT Innovation to Build a Next Generation Bioinformatics Solution to Manage and Analyse Biological Big Data Produced by NGS Technologies.

PubMed

de Brevern, Alexandre G; Meyniel, Jean-Philippe; Fairhead, Cécile; Neuvéglise, Cécile; Malpertuy, Alain

2015-01-01

Sequencing the human genome began in 1994, and 10 years of work were necessary in order to provide a nearly complete sequence. Nowadays, NGS technologies allow sequencing of a whole human genome in a few days. This deluge of data challenges scientists in many ways, as they are faced with data management issues and analysis and visualization drawbacks due to the limitations of current bioinformatics tools. In this paper, we describe how the NGS Big Data revolution changes the way of managing and analysing data. We present how biologists are confronted with abundance of methods, tools, and data formats. To overcome these problems, focus on Big Data Information Technology innovations from web and business intelligence. We underline the interest of NoSQL databases, which are much more efficient than relational databases. Since Big Data leads to the loss of interactivity with data during analysis due to high processing time, we describe solutions from the Business Intelligence that allow one to regain interactivity whatever the volume of data is. We illustrate this point with a focus on the Amadea platform. Finally, we discuss visualization challenges posed by Big Data and present the latest innovations with JavaScript graphic libraries.

Trends in IT Innovation to Build a Next Generation Bioinformatics Solution to Manage and Analyse Biological Big Data Produced by NGS Technologies

PubMed Central

de Brevern, Alexandre G.; Meyniel, Jean-Philippe; Fairhead, Cécile; Neuvéglise, Cécile; Malpertuy, Alain

2015-01-01

Sequencing the human genome began in 1994, and 10 years of work were necessary in order to provide a nearly complete sequence. Nowadays, NGS technologies allow sequencing of a whole human genome in a few days. This deluge of data challenges scientists in many ways, as they are faced with data management issues and analysis and visualization drawbacks due to the limitations of current bioinformatics tools. In this paper, we describe how the NGS Big Data revolution changes the way of managing and analysing data. We present how biologists are confronted with abundance of methods, tools, and data formats. To overcome these problems, focus on Big Data Information Technology innovations from web and business intelligence. We underline the interest of NoSQL databases, which are much more efficient than relational databases. Since Big Data leads to the loss of interactivity with data during analysis due to high processing time, we describe solutions from the Business Intelligence that allow one to regain interactivity whatever the volume of data is. We illustrate this point with a focus on the Amadea platform. Finally, we discuss visualization challenges posed by Big Data and present the latest innovations with JavaScript graphic libraries. PMID:26125026

Relations of the Big-Five personality dimensions to autodestructive behavior in clinical and non-clinical adolescent populations

PubMed Central

Kotrla Topić, Marina; Perković Kovačević, Marina; Mlačić, Boris

2012-01-01

Aim To examine the relationship between the Big-Five personality model and autodestructive behavior symptoms, namely Autodestructiveness and Suicidal Depression in two groups of participants: clinical and non-clinical adolescents. Methods Two groups of participants, clinical (adolescents with diagnosis of psychiatric disorder based on clinical impression and according to valid diagnostic criteria, N = 92) and non-clinical (high-school students, N = 87), completed two sets of questionnaires: the Autodestructiveness Scale which provided data on Autodestructiveness and Suicidal Depression, and the International Personality Item Pool (IPIP), which provided data on the Big -Five personality dimensions. Results Clinical group showed significantly higher values on the Autodestructiveness scale in general, as well as on Suicidal Depression, Aggressiveness, and Borderline subscales than the non-clinical group. Some of the dimensions of the Big-Five personality model, ie, Emotional Stability, Conscientiousness, and Agreeableness showed significant relationship (hierarchical regression analyses, P values for β coefficients from <0.001 to 0.021) with Autodestructivness and Suicidal Depression, even after controlling for the sex and group effects or, when analyzing Suicidal Depression, after controlling the effect of other subscales. Conclusion The results indicate that dimensions of the Big-Five model are important when evaluating adolescent psychiatric patients and adolescents from general population at risk of self-destructive behavior. PMID:23100207

Beyond Einstein: from the Big Bang to black holes

NASA Astrophysics Data System (ADS)

White, Nicholas E.; Diaz, Alphonso V.

2004-01-01

How did the Universe begin? Does time have a beginning and an end? Does space have edges? Einstein's theory of relativity replied to these ancient questions with three startling predictions: that the Universe is expanding from a Big Bang; that black holes so distort space and time that time stops at their edges; and that a dark energy could be pulling space apart, sending galaxies forever beyond the edge of the visible Universe. Observations confirm these remarkable predictions, the last finding only four years ago. Yet Einstein's legacy is incomplete. His theory raises - but cannot answer - three profound questions: What powered the Big Bang? What happens to space, time and matter at the edge of a black hole? and, What is the mysterious dark energy pulling the Universe apart? The Beyond Einstein program within NASA's office of space science aims to answer these questions, employing a series of missions linked by powerful new technologies and complementary approaches to shared science goals. The program also serves as a potent force with which to enhance science education and science literacy.

Envisioning the future of 'big data' biomedicine.

PubMed

Bui, Alex A T; Van Horn, John Darrell

2017-05-01

Through the increasing availability of more efficient data collection procedures, biomedical scientists are now confronting ever larger sets of data, often finding themselves struggling to process and interpret what they have gathered. This, while still more data continues to accumulate. This torrent of biomedical information necessitates creative thinking about how the data are being generated, how they might be best managed, analyzed, and eventually how they can be transformed into further scientific understanding for improving patient care. Recognizing this as a major challenge, the National Institutes of Health (NIH) has spearheaded the "Big Data to Knowledge" (BD2K) program - the agency's most ambitious biomedical informatics effort ever undertaken to date. In this commentary, we describe how the NIH has taken on "big data" science head-on, how a consortium of leading research centers are developing the means for handling large-scale data, and how such activities are being marshalled for the training of a new generation of biomedical data scientists. All in all, the NIH BD2K program seeks to position data science at the heart of 21 st Century biomedical research. Copyright © 2017 Elsevier Inc. All rights reserved.

Programming and Runtime Support to Blaze FPGA Accelerator Deployment at Datacenter Scale

PubMed Central

Huang, Muhuan; Wu, Di; Yu, Cody Hao; Fang, Zhenman; Interlandi, Matteo; Condie, Tyson; Cong, Jason

2017-01-01

With the end of CPU core scaling due to dark silicon limitations, customized accelerators on FPGAs have gained increased attention in modern datacenters due to their lower power, high performance and energy efficiency. Evidenced by Microsoft’s FPGA deployment in its Bing search engine and Intel’s 16.7 billion acquisition of Altera, integrating FPGAs into datacenters is considered one of the most promising approaches to sustain future datacenter growth. However, it is quite challenging for existing big data computing systems—like Apache Spark and Hadoop—to access the performance and energy benefits of FPGA accelerators. In this paper we design and implement Blaze to provide programming and runtime support for enabling easy and efficient deployments of FPGA accelerators in datacenters. In particular, Blaze abstracts FPGA accelerators as a service (FaaS) and provides a set of clean programming APIs for big data processing applications to easily utilize those accelerators. Our Blaze runtime implements an FaaS framework to efficiently share FPGA accelerators among multiple heterogeneous threads on a single node, and extends Hadoop YARN with accelerator-centric scheduling to efficiently share them among multiple computing tasks in the cluster. Experimental results using four representative big data applications demonstrate that Blaze greatly reduces the programming efforts to access FPGA accelerators in systems like Apache Spark and YARN, and improves the system throughput by 1.7 × to 3× (and energy efficiency by 1.5× to 2.7×) compared to a conventional CPU-only cluster. PMID:28317049

Programming and Runtime Support to Blaze FPGA Accelerator Deployment at Datacenter Scale.

PubMed

Huang, Muhuan; Wu, Di; Yu, Cody Hao; Fang, Zhenman; Interlandi, Matteo; Condie, Tyson; Cong, Jason

2016-10-01

With the end of CPU core scaling due to dark silicon limitations, customized accelerators on FPGAs have gained increased attention in modern datacenters due to their lower power, high performance and energy efficiency. Evidenced by Microsoft's FPGA deployment in its Bing search engine and Intel's 16.7 billion acquisition of Altera, integrating FPGAs into datacenters is considered one of the most promising approaches to sustain future datacenter growth. However, it is quite challenging for existing big data computing systems-like Apache Spark and Hadoop-to access the performance and energy benefits of FPGA accelerators. In this paper we design and implement Blaze to provide programming and runtime support for enabling easy and efficient deployments of FPGA accelerators in datacenters. In particular, Blaze abstracts FPGA accelerators as a service (FaaS) and provides a set of clean programming APIs for big data processing applications to easily utilize those accelerators. Our Blaze runtime implements an FaaS framework to efficiently share FPGA accelerators among multiple heterogeneous threads on a single node, and extends Hadoop YARN with accelerator-centric scheduling to efficiently share them among multiple computing tasks in the cluster. Experimental results using four representative big data applications demonstrate that Blaze greatly reduces the programming efforts to access FPGA accelerators in systems like Apache Spark and YARN, and improves the system throughput by 1.7 × to 3× (and energy efficiency by 1.5× to 2.7×) compared to a conventional CPU-only cluster.

Unique Associations Between Big Five Personality Aspects and Multiple Dimensions of Well-Being.

PubMed

Sun, Jessie; Kaufman, Scott Barry; Smillie, Luke D

2018-04-01

Personality traits are associated with well-being, but the precise correlates vary across well-being dimensions and within each Big Five domain. This study is the first to examine the unique associations between the Big Five aspects (rather than facets) and multiple well-being dimensions. Two samples of U.S. participants (total N = 706; M age  = 36.17; 54% female) recruited via Amazon's Mechanical Turk completed measures of the Big Five aspects and subjective, psychological, and PERMA well-being. One aspect within each domain was more strongly associated with well-being variables. Enthusiasm and Withdrawal were strongly associated with a broad range of well-being variables, but other aspects of personality also had idiosyncratic associations with distinct forms of positive functioning (e.g., Compassion with positive relationships, Industriousness with accomplishment, and Intellect with personal growth). An aspect-level analysis provides an optimal (i.e., parsimonious yet sufficiently comprehensive) framework for describing the relation between personality traits and multiple ways of thriving in life. © 2016 Wiley Periodicals, Inc.

Evidence of Big Five and Aggressive Personalities in Gait Biomechanics.

PubMed

Satchell, Liam; Morris, Paul; Mills, Chris; O'Reilly, Liam; Marshman, Paul; Akehurst, Lucy

2017-01-01

Behavioral observation techniques which relate action to personality have long been neglected (Furr and Funder in Handbook of research methods in personality psychology, The Guilford Press, New York, 2007) and, when employed, often use human judges to code behavior. In the current study we used an alternative to human coding (biomechanical research techniques) to investigate how personality traits are manifest in gait. We used motion capture technology to record 29 participants walking on a treadmill at their natural speed. We analyzed their thorax and pelvis movements, as well as speed of gait. Participants completed personality questionnaires, including a Big Five measure and a trait aggression questionnaire. We found that gait related to several of our personality measures. The magnitude of upper body movement, lower body movement, and walking speed, were related to Big Five personality traits and aggression. Here, we present evidence that some gait measures can relate to Big Five and aggressive personalities. We know of no other examples of research where gait has been shown to correlate with self-reported measures of personality and suggest that more research should be conducted between largely automatic movement and personality.

Classical and quantum cosmology of the little rip abrupt event

NASA Astrophysics Data System (ADS)

Albarran, Imanol; Bouhmadi-López, Mariam; Kiefer, Claus; Marto, João; Vargas Moniz, Paulo

2016-09-01

We analyze from a classical and quantum point of view the behavior of the Universe close to a little rip, which can be interpreted as a big rip sent towards the infinite future. Like a big rip singularity, a little rip implies the destruction of all bounded structures in the Universe and is thus an event where quantum effects could be important. We present here a new phantom scalar field model for the little rip. The quantum analysis is performed in quantum geometrodynamics, with the Wheeler-DeWitt equation as its central equation. We find that the little rip can be avoided in the sense of the DeWitt criterion, that is, by having a vanishing wave function at the place of the little rip. Therefore our analysis completes the answer to the question: can quantum cosmology smoothen or avoid the divergent behavior genuinely caused by phantom matter? We show that this can indeed happen for the little rip, similar to the avoidance of a big rip and a little sibling of the big rip.

Fish Passage Assessment: Big Canyon Creek Watershed, Technical Report 2004.

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

Christian, Richard

2004-02-01

This report presents the results of the fish passage assessment as outlined as part of the Protect and Restore the Big Canyon Creek Watershed project as detailed in the CY2003 Statement of Work (SOW). As part of the Northwest Power Planning Council's Columbia Basin Fish and Wildlife Program (FWP), this project is one of Bonneville Power Administration's (BPA) many efforts at off-site mitigation for damage to salmon and steelhead runs, their migration, and wildlife habitat caused by the construction and operation of federal hydroelectric dams on the Columbia River and its tributaries. The proposed restoration activities within the Big Canyonmore » Creek watershed follow the watershed restoration approach mandated by the Fisheries and Watershed Program. Nez Perce Tribal Fisheries/Watershed Program vision focuses on protecting, restoring, and enhancing watersheds and treaty resources within the ceded territory of the Nez Perce Tribe under the Treaty of 1855 with the United States Federal Government. The program uses a holistic approach, which encompasses entire watersheds, ridge top to ridge top, emphasizing all cultural aspects. We strive toward maximizing historic ecosystem productive health, for the restoration of anadromous and resident fish populations. The Nez Perce Tribal Fisheries/Watershed Program (NPTFWP) sponsors the Protect and Restore the Big Canyon Creek Watershed project. The NPTFWP has the authority to allocate funds under the provisions set forth in their contract with BPA. In the state of Idaho vast numbers of relatively small obstructions, such as road culverts, block thousands of miles of habitat suitable for a variety of fish species. To date, most agencies and land managers have not had sufficient, quantifiable data to adequately address these barrier sites. The ultimate objective of this comprehensive inventory and assessment was to identify all barrier crossings within the watershed. The barriers were then prioritized according to the amount of habitat blocked at each site and the fish life history stages impacted. This assessment protocol will hopefully prove useful to other agencies and become a model for use in other watersheds.« less

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

Liphardt, Jan

In April 1953, Watson and Crick largely defined the program of 20th century biology: obtaining the blueprint of life encoded in the DNA. Fifty years later, in 2003, the sequencing of the human genome was completed. Like any major scientific breakthrough, the sequencing of the human genome raised many more questions than it answered. I'll brief you on some of the big open problems in cell and developmental biology, and I'll explain why approaches, tools, and ideas from the physical sciences are currently reshaping biological research. Super-resolution light microscopies are revealing the intricate spatial organization of cells, single-molecule methods showmore » how molecular machines function, and new probes are clarifying the role of mechanical forces in cell and tissue function. At the same time, Physics stands to gain beautiful new problems in soft condensed matter, quantum mechanics, and non-equilibrium thermodynamics.« less

Acoustic outsourcing: New employment possibilities for the specialists

NASA Astrophysics Data System (ADS)

Perez, Patricia; Rios, Heriberto; Andrade, Armando; Ramirez, Mario

2002-11-01

The need for companies to be more competitive has led them to resort to training, external consultantship, continuous improvement programs, but with the aim of achieving maximum productivity, the big companies go even further: they are opting to focus on their high-priority activities, leaving some nonstrategic functions in the hands of third parties (organizations or individuals). Acoustic outsourcing presents immense business opportunities for the specialists in this area when offering services or completing a production process that the company carries out in an internal way but that is not its main function or activity. Outsourcing contemplates a serious long term commitment between the two parties; a kind of strategic alliance, all with the purpose of increasing efficiency and the quality of the products that the company develops, besides solving acoustic problems related to the production stage. (To be presented in Spanish.)

The Intersection of Physics and Biology

ScienceCinema

Liphardt, Jan

2017-12-22

In April 1953, Watson and Crick largely defined the program of 20th century biology: obtaining the blueprint of life encoded in the DNA. Fifty years later, in 2003, the sequencing of the human genome was completed. Like any major scientific breakthrough, the sequencing of the human genome raised many more questions than it answered. I'll brief you on some of the big open problems in cell and developmental biology, and I'll explain why approaches, tools, and ideas from the physical sciences are currently reshaping biological research. Super-resolution light microscopies are revealing the intricate spatial organization of cells, single-molecule methods show how molecular machines function, and new probes are clarifying the role of mechanical forces in cell and tissue function. At the same time, Physics stands to gain beautiful new problems in soft condensed matter, quantum mechanics, and non-equilibrium thermodynamics.

Salvaging deep anterior lamellar keratoplasty with microbubble incision technique in failed "big bubble" cases: an update study.

PubMed

Banerjee, Sanjib; Li, He J; Tsaousis, Konstantinos T; Tabin, Geoffrey C

2016-11-04

To report the achievement rate of bare Descemet membrane (DM) dissection with the help of microbubble incision technique in eyes with failed big bubble formation and to investigate the mechanism of the microbubble rescue technique through ex vivo imaging of human cadaver corneas. This retrospective clinical study included 80 eyes of 80 patients that underwent deep anterior lamellar keratoplasty (DALK). In 22/80 (27.5%) cases, big bubble dissection failed. After puncturing the microbubbles, viscodissection helped to achieve separation of DM from the remaining stroma. In addition, an ex vivo study with human cadaver cornea specimens, gross photography, and anterior segment optical coherence tomography imaging was accomplished ex vivo to explore the mechanism of this method. Microbubble dissection technique led to successful DALK in 19 of 22 cases of failed big bubble. Microperforation occurred in 3 eyes. Deep anterior lamellar keratoplasty was completed without any complications in 2 out of the 3 eyes with microperforation. In 1 eye, conversion to penetrating keratoplasty was required. Microbubble-guided viscodissection achieved 95.4% (21/22) success in exposing bare DM in failed big-bubble cases of DALK. Anterior segment optical coherence tomography imaging results of cadaver eyes showed where these microbubbles were concentrated and their related size. Microbubble-guided DALK should be considered an effective rescue technique in achieving bare DM in eyes with failed big bubble. Our ex vivo experiment illustrated the possible alterations in cornea anatomy during this technique.

76 FR 795 - Notice of Inventory Completion for Native American Human Remains and Associated Funerary Objects...

Federal Register 2010, 2011, 2012, 2013, 2014

2011-01-06

... shell ornaments, 2 shells, 37 shell beads, 1 shell pendant, 1 shell dipper, 4 stone tools, 2 stone... (Dania, Big Cypress, Brighton, Hollywood & Tampa Reservations); Shawnee Tribe, Oklahoma; Thlopthlocco...

[Effect of hemorheology on ultrasonic doppler blood flow spectrum diagram].

PubMed

Zhang, Shenghua; Qin, Renjia

2014-08-01

The present research aims to point out the long-existing defect of analyzing the spectrum diagram only from the perspective of haemodynamics instead of haemorheology. In the light of the theories of haemodynamics and haemorheology, the causes of spectrum diagram formation of carotid artery blood at the rapid and slow flow can be clarified completely and accurately. Four conclusions have been drawn in the end. As long as the velocity gradient is large enough, obvious red blood cells concentrate to the shaft even in the big or bigger blood vessels; the spectrum diagram is the powerful proof of the two phase flow model of blood; the spectrum diagram can be completely and accurately analyzed only by combining haemodynamics with haemorheology; and only when the red blood cells concentrate to the shaft, the big or bigger blood vessels can be regarded as haemogeneous fluid.

Optical fiber systems for the BigBOSS instrument

NASA Astrophysics Data System (ADS)

Edelstein, Jerry; Poppett, Claire; Sirk, Martin; Besuner, Robert; Lafever, Robin; Allington-Smith, Jeremy R.; Murray, Graham J.

2012-09-01

We describe the fiber optics systems for use in BigBOSS, a proposed massively parallel multi-object spectrograph for the Kitt Peak Mayall 4-m telescope that will measure baryon acoustic oscillations to explore dark energy. BigBOSS will include 5,000 optical fibers each precisely actuator-positioned to collect an astronomical target’s flux at the telescope prime-focus. The fibers are to be routed 40m through the telescope facility to feed ten visible-band imaging spectrographs. We report on our fiber component development and performance measurement program. Results include the numerical modeling of focal ratio degradation (FRD), observations of actual fibers’ collimated and converging beam FRD, and observations of FRD from different types of fiber terminations, mechanical connectors, and fusion-splice connections.

Museums as a venue for public health intervention.

PubMed

Ickovics, Jeannette R

2013-12-01

Big Food: Health, Culture, and the Evolution of Eating broke numerous records for museum attendance, highlighting the public's appetite for public health. During its 10-month run at the Yale Peabody Museum of Natural History, more than 120 000 visitors attended Big Food, including 25 000 students through the museum's public education program, an increase of 30% more than the average student attendance in the past decade. Big Food cost approximately $100 000 to build, comprising printed panels and objects, installation displays (e.g., custom-built cases to house such objects as sugar-sweetened beverages and healthy and diseased organs), temporary walls, video monitors, food products, and more. At less than $1 per visitor, this provided extraordinary public health value.

Museums as a Venue for Public Health Intervention

PubMed Central

2013-01-01

Big Food: Health, Culture, and the Evolution of Eating broke numerous records for museum attendance, highlighting the public’s appetite for public health. During its 10-month run at the Yale Peabody Museum of Natural History, more than 120 000 visitors attended Big Food, including 25 000 students through the museum’s public education program, an increase of 30% more than the average student attendance in the past decade. Big Food cost approximately $100 000 to build, comprising printed panels and objects, installation displays (e.g., custom-built cases to house such objects as sugar-sweetened beverages and healthy and diseased organs), temporary walls, video monitors, food products, and more. At less than $1 per visitor, this provided extraordinary public health value. PMID:24134356

Language-based Measures of Mindfulness: Initial Validity and Clinical Utility

PubMed Central

Collins, Susan E.; Chawla, Neharika; Hsu, Sharon H.; Grow, Joel; Otto, Jacqueline M.; Marlatt, G. Alan

2009-01-01

This study examined relationships among language use, mindfulness, and substance-use treatment outcomes in the context of an efficacy trial of mindfulness-based relapse prevention (MBRP) for adults with alcohol and other drug use (AOD) disorders (see Bowen, Chawla, Collins et al., in press). An expert panel generated two categories of mindfulness language (ML) describing the mindfulness state and the more encompassing “mindfulness journey,” which included words describing challenges of developing a mindfulness practice. MBRP participants (n=48) completed baseline sociodemographic and AOD measures, and participated in the 8-week MBRP program. AOD data were collected during the 4-month follow-up. A word count program assessed the frequency of ML and other linguistic markers in participants’ responses to open-ended questions about their postintervention impressions of mindfulness practice and MBRP. Findings supported concurrent validity of ML categories: ML words appeared more frequently in the MBRP manual compared to the 12-step Big Book. Further, ML categories correlated with other linguistic variables related to the mindfulness construct. Finally, predictive validity was supported: greater use of ML predicted fewer AOD use days during the 4-month follow-up. This study provided initial support for ML as a valid, clinically useful mindfulness measure. If future studies replicate these findings, ML could be used in conjunction with self-report to provide a more complete picture of the mindfulness experience. PMID:20025383

Exploring the potential of open big data from ticketing websites to characterize travel patterns within the Chinese high-speed rail system

PubMed Central

Luan, Xiali; Han, Shanrui; Zhou, Wen

2017-01-01

Big data have contributed to deepen our understanding in regards to many human systems, particularly human mobility patterns and the structure and functioning of transportation systems. Resonating the recent call for ‘open big data,’ big data from various sources on a range of scales have become increasingly accessible to the public. However, open big data relevant to travelers within public transit tools remain scarce, hindering any further in-depth study on human mobility patterns. Here, we explore ticketing-website derived data that are publically available but have been largely neglected. We demonstrate the power, potential and limitations of this open big data, using the Chinese high-speed rail (HSR) system as an example. Using an application programming interface, we automatically collected the data on the remaining tickets (RTD) for scheduled trains at the last second before departure in order to retrieve information on unused transit capacity, occupancy rate of trains, and passenger flux at stations. We show that this information is highly useful in characterizing the spatiotemporal patterns of traveling behaviors on the Chinese HSR, such as weekend traveling behavior, imbalanced commuting behavior, and station functionality. Our work facilitates the understanding of human traveling patterns along the Chinese HSR, and the functionality of the largest HSR system in the world. We expect our work to attract attention regarding this unique open big data source for the study of analogous transportation systems. PMID:28574991

Exploring the potential of open big data from ticketing websites to characterize travel patterns within the Chinese high-speed rail system.

PubMed

Wei, Sheng; Yuan, Jinfu; Qiu, Yanning; Luan, Xiali; Han, Shanrui; Zhou, Wen; Xu, Chi

2017-01-01

Big data have contributed to deepen our understanding in regards to many human systems, particularly human mobility patterns and the structure and functioning of transportation systems. Resonating the recent call for 'open big data,' big data from various sources on a range of scales have become increasingly accessible to the public. However, open big data relevant to travelers within public transit tools remain scarce, hindering any further in-depth study on human mobility patterns. Here, we explore ticketing-website derived data that are publically available but have been largely neglected. We demonstrate the power, potential and limitations of this open big data, using the Chinese high-speed rail (HSR) system as an example. Using an application programming interface, we automatically collected the data on the remaining tickets (RTD) for scheduled trains at the last second before departure in order to retrieve information on unused transit capacity, occupancy rate of trains, and passenger flux at stations. We show that this information is highly useful in characterizing the spatiotemporal patterns of traveling behaviors on the Chinese HSR, such as weekend traveling behavior, imbalanced commuting behavior, and station functionality. Our work facilitates the understanding of human traveling patterns along the Chinese HSR, and the functionality of the largest HSR system in the world. We expect our work to attract attention regarding this unique open big data source for the study of analogous transportation systems.

Using personal qualities assessment to measure the moral orientation and personal qualities of medical students in a non-Western culture.

PubMed

Tsou, Kuo-Inn; Lin, Chaou-Shune; Cho, Shu-Ling; Powis, David; Bore, Miles; Munro, Don; Sze, Daniel Man-Yuen; Wu, Hsi-Chin; Hsieh, Ming-Shium; Lin, Chyi-Her

2013-06-01

How to select candidates with appropriate personal qualities for medical school is an important issue. This study examined the psychometric properties and group differences of the Personal Qualities Assessment (PQA) to test the feasibility of using it as a tool to assess the medical school applicants in a non-Western culture. Seven hundred forty-six medical students in Taiwan completed two psychometric measures: Mojac to assess moral orientation and NACE to assess four aspects of interpersonal relationships. Thirty-one students completed the tests twice to establish test-retest reliability. A subsample of 127 students also completed a measure of the "Big Five" personality traits to examine the construct validity of these scales. Both Mojac and NACE had acceptable internal consistency and test-retest reliability. Conceptually, coherent and significant relationships were observed between test components and between the NACE and Big Five. NACE but not Mojac varied significantly between different sociodemographic groups. Both tests demonstrated acceptable psychometric properties. However, the predictive validity of PQA requires future studies.

Evaluation of Healthcare Interventions and Big Data: Review of Associated Data Issues.

PubMed

Asche, Carl V; Seal, Brian; Kahler, Kristijan H; Oehrlein, Elisabeth M; Baumgartner, Meredith Greer

2017-08-01

Although the analysis of 'big data' holds tremendous potential to improve patient care, there remain significant challenges before it can be realized. Accuracy and completeness of data, linkage of disparate data sources, and access to data are areas that require particular focus. This article discusses these areas and shares strategies to promote progress. Improvement in clinical coding, innovative matching methodologies, and investment in data standardization are potential solutions to data validation and linkage problems. Challenges to data access still require significant attention with data ownership, security needs, and costs representing significant barriers to access.

Impact of physical exercise on reaction time in patients with Parkinson's disease-data from the Berlin BIG Study.

PubMed

Ebersbach, Georg; Ebersbach, Almut; Gandor, Florin; Wegner, Brigitte; Wissel, Jörg; Kupsch, Andreas

2014-05-01

To determine whether physical activity may affect cognitive performance in patients with Parkinson's disease by measuring reaction times in patients participating in the Berlin BIG study. Randomized controlled trial, rater-blinded. Ambulatory care. Patients with mild to moderate Parkinson's disease (N=60) were randomly allocated to 3 treatment arms. Outcome was measured at the termination of training and at follow-up 16 weeks after baseline in 58 patients (completers). Patients received 16 hours of individual Lee Silverman Voice Treatment-BIG training (BIG; duration of treatment, 4wk), 16 hours of group training with Nordic Walking (WALK; duration of treatment, 8wk), or nonsupervised domestic exercise (HOME; duration of instruction, 1hr). Cued reaction time (cRT) and noncued reaction time (nRT). Differences between treatment groups in improvement in reaction times from baseline to intermediate and baseline to follow-up assessments were observed for cRT but not for nRT. Pairwise t test comparisons revealed differences in change in cRT at both measurements between BIG and HOME groups (intermediate: -52ms; 95% confidence interval [CI], -84/-20; P=.002; follow-up: 55ms; CI, -105/-6; P=.030) and between WALK and HOME groups (intermediate: -61ms; CI, -120/-2; P=.042; follow-up: -78ms; CI, -136/-20; P=.010). There was no difference between BIG and WALK groups (intermediate: 9ms; CI, -49/67; P=.742; follow-up: 23ms; CI, -27/72; P=.361). Supervised physical exercise with Lee Silverman Voice Treatment-BIG or Nordic Walking is associated with improvement in cognitive aspects of movement preparation. Copyright © 2014 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.

Stream seepage and groundwater levels, Wood River Valley, south-central Idaho, 2012-13

USGS Publications Warehouse

Bartolino, James R.

2014-01-01

Stream discharge and water levels in wells were measured at multiple sites in the Wood River Valley, south-central Idaho, in August 2012, October 2012, and March 2013, as a component of data collection for a groundwater-flow model of the Wood River Valley aquifer system. This model is a cooperative and collaborative effort between the U.S. Geological Survey and the Idaho Department of Water Resources. Stream-discharge measurements for determination of seepage were made during several days on three occasions: August 27–28, 2012, October 22–24, 2012, and March 27–28, 2013. Discharge measurements were made at 49 sites in August and October, and 51 sites in March, on the Big Wood River, Silver Creek, their tributaries, and nearby canals. The Big Wood River generally gains flow between the Big Wood River near Ketchum streamgage (13135500) and the Big Wood River at Hailey streamgage (13139510), and loses flow between the Hailey streamgage and the Big Wood River at Stanton Crossing near Bellevue streamgage (13140800). Shorter reaches within these segments may differ in the direction or magnitude of seepage or may be indeterminate because of measurement uncertainty. Additional reaches were measured on Silver Creek, the North Fork Big Wood River, Warm Springs Creek, Trail Creek, and the East Fork Big Wood River. Discharge measurements also were made on the Hiawatha, Cove, District 45, Glendale, and Bypass Canals, and smaller tributaries to the Big Wood River and Silver Creek. Water levels in 93 wells completed in the Wood River Valley aquifer system were measured during October 22–24, 2012; these wells are part of a network established by the U.S. Geological Survey in 2006. Maps of the October 2012 water-table altitude in the unconfined aquifer and the potentiometric-surface altitude of the confined aquifer have similar topology to those on maps of October 2006 conditions. Between October 2006 and October 2012, water-table altitude in the unconfined aquifer rose by as much as 1.86 feet in 6 wells and declined by as much as 14.28 feet in 77 wells; average decline was 2.9 feet. A map of changes in the water‑table altitude of the unconfined aquifer shows that the largest declines were in tributary canyons and in an area roughly between Baseline and Glendale Roads. From October 2006 to October 2012, the potentiometric-surface altitude in 10 wells completed in the confined aquifer declined between 0.12 and 20.50 feet; average decline was 6.8 feet. A map of changes in the potentiometric-surface altitude of the confined aquifer shows that the largest declines were in the southwestern part of the Bellevue fan. Reduced precipitation prior to the October 2012 water-level measurements likely is partially responsible for 2006–12 water-table declines in the unconfined aquifer; the relative contribution of precipitation deficit and groundwater withdrawals to the declines is not known. Although the confined aquifer may not receive direct recharge from precipitation or streams, groundwater withdrawal from the confined aquifer induces flow from the unconfined aquifer. Declines in the confined aquifer are likely due to groundwater withdrawals and declines in the water table of the unconfined aquifer. A statistical analysis of five long-term monitoring wells (three completed in the unconfined aquifer, one in the confined aquifer, and one outside the aquifer system boundary) showed statistically significant declining trends in four wells.

caGrid 1.0: a Grid enterprise architecture for cancer research.

PubMed

Oster, Scott; Langella, Stephen; Hastings, Shannon; Ervin, David; Madduri, Ravi; Kurc, Tahsin; Siebenlist, Frank; Covitz, Peter; Shanbhag, Krishnakant; Foster, Ian; Saltz, Joel

2007-10-11

caGrid is the core Grid architecture of the NCI-sponsored cancer Biomedical Informatics Grid (caBIG) program. The current release, caGrid version 1.0, is developed as the production Grid software infrastructure of caBIG. Based on feedback from adopters of the previous version (caGrid 0.5), it has been significantly enhanced with new features and improvements to existing components. This paper presents an overview of caGrid 1.0, its main components, and enhancements over caGrid 0.5.

What Works for Whom? A Bayesian Approach to Channeling Big Data Streams for Public Program Evaluation

ERIC Educational Resources Information Center

Finucane, Mariel McKenzie; Martinez, Ignacio; Cody, Scott

2018-01-01

In the coming years, public programs will capture even more and richer data than they do now, including data from web-based tools used by participants in employment services, from tablet-based educational curricula, and from electronic health records for Medicaid beneficiaries. Program evaluators seeking to take full advantage of these data…

A Blended Professional Development Program to Help a Teacher Learn to Provide One-to-One Scaffolding

NASA Astrophysics Data System (ADS)

Belland, Brian R.; Burdo, Ryan; Gu, Jiangyue

2015-04-01

Argumentation is central to instruction centered on socio-scientific issues (Sadler & Donnelly in International Journal of Science Education, 28(12), 1463-1488, 2006. doi: 10.1080/09500690600708717). Teachers can play a big role in helping students engage in argumentation and solve authentic scientific problems. To do so, they need to learn one-to-one scaffolding—dynamic support to help students accomplish tasks that they could not complete unaided. This study explores a middle school science teacher's provision of one-to-one scaffolding during a problem-based learning unit, in which students argued about how to optimize the water quality of their local river. The blended professional development program incorporated three 1.5-h seminars, one 8-h workshop, and 4 weeks of online education activities. Data sources were video of three small groups per period, and what students typed in response to prompts from computer-based argumentation scaffolds. Results indicated that the teacher provided one-to-one scaffolding on a par with inquiry-oriented teachers described in the literature.

Feedback of final year ophthalmology postgraduates about their residency ophthalmology training in South India

PubMed Central

Ajay, K.; Krishnaprasad, R.

2014-01-01

Background and Aims: This study documents a survey of final-year ophthalmology postgraduate students on the subject of their residency training. A similar survey conducted 7 years ago published in IJO had concluded that the residency program was not up to expectations in many centers. Our study aimed to see if ophthalmology training and student perceptions differed since then. Materials and Methods: For our study, we added a few questions to the same questionnaire used in the article “which is the best method to learn ophthalmology? Resident doctors’ perspective of ophthalmology training” published in IJO, Vol. 56 (5). Results: Forty-nine students (62.02%) returned completed forms. Most students desired an orientation program on entering residency, and wished to undergo diagnostic training initially. Case-presentation with demonstration and Wet-lab learning were most preferred. There was a big difference between the number of surgeries students actually performed and the number they felt would have been ideal. Conclusion: On the whole, the students still felt the need for improved training across all aspects of ophthalmology. PMID:25116778

Poliovirus Laboratory Based Surveillance: An Overview.

PubMed

Zaidi, Syed Sohail Zahoor; Asghar, Humayun; Sharif, Salmaan; Alam, Muhammad Masroor

2016-01-01

World Health Assembly (WHA) in 1988 encouraged the member states to launch Global Polio Eradication Initiative (GPEI) (resolution WHA41.28) against "the Crippler" called poliovirus, through strong routine immunization program and intensified surveillance systems. Since its launch, global incidence of poliomyelitis has been reduced by more than 99 % and the disease squeezed to only three endemic countries (Afghanistan, Pakistan, and Nigeria) out of 125. Today, poliomyelitis is on the verge of eradication, and their etiological agents, the three poliovirus serotypes, are on the brink of extinction from the natural environment. The last case of poliomyelitis due to wild type 2 strain occurred in 1999 in Uttar Pradesh, India whereas the last paralytic case due to wild poliovirus type 3 (WPV3) was seen in November, 2012 in Yobe, Nigeria. Despite this progress, undetected circulation cannot fully rule out the eradication as most of the poliovirus infections are entirely subclinical; hence sophisticated environmental surveillance is needed to ensure the complete eradication of virus. Moreover, the vaccine virus in under-immunized communities can sometimes revert and attain wild type characteristics posing a big challenge to the program.

Reviews

NASA Astrophysics Data System (ADS)

2004-01-01

BOOK REVIEWS (99) Complete A-Z Physics Handbook Science Magic in the Kitchen The Science of Cooking Science Experiments You Can Eat WEB WATCH (101) These journal themes are pasta joke Microwave oven Web links CD REVIEW (104) Electricity and Magnetism, KS3 Big Science Comics

Planetarium Show on Dark Matter

DOE PAGES

Barnett, R. Michael

2016-05-31

We describe a new planetarium show about Dark Matter entitled “Phantom of the Universe”. When completed in late 2014, it will feature the exciting story of dark matter, from the Big Bang to its anticipated discovery at the Large Hadron Collider.

Buckling analysis of Big Dee Vacuum Vessel

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

Lightner, S.; Gallix, R.

1983-12-01

A simplified three-dimensional shell buckling analysis of the GA Technologies Inc., Big Dee Vacuum Vessel (V/V) was performed using the finite element program TRICO. A coarse-mesh linear elastic model, which accommodated the support boundary conditions, was used to determine the buckling mode shape under a uniform external pressure. Using this buckling mode shape, refined models were used to calculate the linear buckling load (P/sub crit/) more accurately. Several different designs of the Big Dee V/V were considered in this analysis. The supports for the V/V were equally-spaced radial pins at the outer diameter of the mid-plane. For all the casesmore » considered, the buckling mode was axisymmetric in the toroidal direction. Therefore, it was possible to use only a small angular sector of a toric shell for the refined analysis. P/sub crit/ for the Big Dee is about 60 atm for a uniform external pressure. Also investigated in this analysis were the effects of geometrical imperfections and non-uniform pressure distributions.« less

Next Generation Workload Management and Analysis System for Big Data

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

De, Kaushik

We report on the activities and accomplishments of a four-year project (a three-year grant followed by a one-year no cost extension) to develop a next generation workload management system for Big Data. The new system is based on the highly successful PanDA software developed for High Energy Physics (HEP) in 2005. PanDA is used by the ATLAS experiment at the Large Hadron Collider (LHC), and the AMS experiment at the space station. The program of work described here was carried out by two teams of developers working collaboratively at Brookhaven National Laboratory (BNL) and the University of Texas at Arlingtonmore » (UTA). These teams worked closely with the original PanDA team – for the sake of clarity the work of the next generation team will be referred to as the BigPanDA project. Their work has led to the adoption of BigPanDA by the COMPASS experiment at CERN, and many other experiments and science projects worldwide.« less

Big Five personality traits: are they really important for the subjective well-being of Indians?

PubMed

Tanksale, Deepa

2015-02-01

This study empirically examined the relationship between the Big Five personality traits and subjective well-being (SWB) in India. SWB variables used were life satisfaction, positive affect and negative affect. A total of 183 participants in the age range 30-40 years from Pune, India, completed the personality and SWB measures. Backward stepwise regression analysis showed that the Big Five traits accounted for 17% of the variance in life satisfaction, 35% variance in positive affect and 28% variance in negative affect. Conscientiousness emerged as the strongest predictor of life satisfaction. In line with the earlier research findings, neuroticism and extraversion were found to predict negative affect and positive affect, respectively. Neither openness to experience nor agreeableness contributed to SWB. The research emphasises the need to revisit the association between personality and SWB across different cultures, especially non-western cultures. © 2014 International Union of Psychological Science.

Big City/Small Town Partnerships.

ERIC Educational Resources Information Center

Brouillette, Mary; Bothereau, Elizabeth

1984-01-01

Describes (1) the Dallas (Texas) Adopt-a-School program, which is a partnership not only between the Dallas Independent School District and business, its primary source of support, but also with higher education, civic groups, the religious community, and individual volunteers; and (2) Minneapolis Suburban Partnerships, a program of mutual benefit…

Generation Psy: Student Characteristics and Academic Achievement in a Three-Year Problem-Based Learning Bachelor Program

ERIC Educational Resources Information Center

de Koning, Bjorn B.; Loyens, Sofie M. M.; Rikers, Remy M. J. P.; Smeets, Guus; van der Molen, Henk T.

2012-01-01

This study investigated the simultaneous impact of demographic, personality, intelligence, and (prior) study performance factors on students' academic achievement in a three-year academic problem-based psychology program. Information regarding students' gender, age, nationality, pre-university education, high school grades, Big Five personality…

50 CFR 86.50 - When must I apply?

Code of Federal Regulations, 2010 CFR

2010-10-01

... 50 Wildlife and Fisheries 6 2010-10-01 2010-10-01 false When must I apply? 86.50 Section 86.50 Wildlife and Fisheries UNITED STATES FISH AND WILDLIFE SERVICE, DEPARTMENT OF THE INTERIOR (CONTINUED) FINANCIAL ASSISTANCE-WILDLIFE SPORT FISH RESTORATION PROGRAM BOATING INFRASTRUCTURE GRANT (BIG) PROGRAM How...

50 CFR 86.131 - Must I do a plan?

Code of Federal Regulations, 2010 CFR

2010-10-01

... 50 Wildlife and Fisheries 6 2010-10-01 2010-10-01 false Must I do a plan? 86.131 Section 86.131 Wildlife and Fisheries UNITED STATES FISH AND WILDLIFE SERVICE, DEPARTMENT OF THE INTERIOR (CONTINUED) FINANCIAL ASSISTANCE-WILDLIFE SPORT FISH RESTORATION PROGRAM BOATING INFRASTRUCTURE GRANT (BIG) PROGRAM How...

The Components of Sound Financial Management.

ERIC Educational Resources Information Center

Grayson, Ernest C.

Since education is big business, it should be conducted in a businesslike way. Without sound financial management, the best instructional program will fail. Several components make up a sound program of financial management. Resources are basic, and these vary from district to district. Before asking for additional support, school administrators…

50 CFR 86.13 - What is boating infrastructure?

Code of Federal Regulations, 2014 CFR

2014-10-01

... 50 Wildlife and Fisheries 9 2014-10-01 2014-10-01 false What is boating infrastructure? 86.13 Section 86.13 Wildlife and Fisheries UNITED STATES FISH AND WILDLIFE SERVICE, DEPARTMENT OF THE INTERIOR... (BIG) PROGRAM General Information About the Grant Program § 86.13 What is boating infrastructure...

50 CFR 86.136 - What must be in the plan?

Code of Federal Regulations, 2010 CFR

2010-10-01

... (CONTINUED) FINANCIAL ASSISTANCE-WILDLIFE SPORT FISH RESTORATION PROGRAM BOATING INFRASTRUCTURE GRANT (BIG... problems. (e) Include information about the longevity of current tie-up facilities. ...

Data Discovery of Big and Diverse Climate Change Datasets - Options, Practices and Challenges

NASA Astrophysics Data System (ADS)

Palanisamy, G.; Boden, T.; McCord, R. A.; Frame, M. T.

2013-12-01

Developing data search tools is a very common, but often confusing, task for most of the data intensive scientific projects. These search interfaces need to be continually improved to handle the ever increasing diversity and volume of data collections. There are many aspects which determine the type of search tool a project needs to provide to their user community. These include: number of datasets, amount and consistency of discovery metadata, ancillary information such as availability of quality information and provenance, and availability of similar datasets from other distributed sources. Environmental Data Science and Systems (EDSS) group within the Environmental Science Division at the Oak Ridge National Laboratory has a long history of successfully managing diverse and big observational datasets for various scientific programs via various data centers such as DOE's Atmospheric Radiation Measurement Program (ARM), DOE's Carbon Dioxide Information and Analysis Center (CDIAC), USGS's Core Science Analytics and Synthesis (CSAS) metadata Clearinghouse and NASA's Distributed Active Archive Center (ORNL DAAC). This talk will showcase some of the recent developments for improving the data discovery within these centers The DOE ARM program recently developed a data discovery tool which allows users to search and discover over 4000 observational datasets. These datasets are key to the research efforts related to global climate change. The ARM discovery tool features many new functions such as filtered and faceted search logic, multi-pass data selection, filtering data based on data quality, graphical views of data quality and availability, direct access to data quality reports, and data plots. The ARM Archive also provides discovery metadata to other broader metadata clearinghouses such as ESGF, IASOA, and GOS. In addition to the new interface, ARM is also currently working on providing DOI metadata records to publishers such as Thomson Reuters and Elsevier. The ARM program also provides a standards based online metadata editor (OME) for PIs to submit their data to the ARM Data Archive. USGS CSAS metadata Clearinghouse aggregates metadata records from several USGS projects and other partner organizations. The Clearinghouse allows users to search and discover over 100,000 biological and ecological datasets from a single web portal. The Clearinghouse also enabled some new data discovery functions such as enhanced geo-spatial searches based on land and ocean classifications, metadata completeness rankings, data linkage via digital object identifiers (DOIs), and semantically enhanced keyword searches. The Clearinghouse also currently working on enabling a dashboard which allows the data providers to look at various statistics such as number their records accessed via the Clearinghouse, most popular keywords, metadata quality report and DOI creation service. The Clearinghouse also publishes metadata records to broader portals such as NSF DataONE and Data.gov. The author will also present how these capabilities are currently reused by the recent and upcoming data centers such as DOE's NGEE-Arctic project. References: [1] Devarakonda, R., Palanisamy, G., Wilson, B. E., & Green, J. M. (2010). Mercury: reusable metadata management, data discovery and access system. Earth Science Informatics, 3(1-2), 87-94. [2]Devarakonda, R., Shrestha, B., Palanisamy, G., Hook, L., Killeffer, T., Krassovski, M., ... & Frame, M. (2014, October). OME: Tool for generating and managing metadata to handle BigData. In BigData Conference (pp. 8-10).

77 FR 25739 - Notice of Inventory Completion: Fowler Museum at UCLA, Los Angeles, CA

Federal Register 2010, 2011, 2012, 2013, 2014

2012-05-01

... additional claimants come forward. DATES: Representatives of any Indian tribe that believes it has a cultural... claimants come forward. The Fowler Museum at UCLA is responsible for notifying the Big Pine Band of Owens...

The One Universal Graph — a free and open graph database

NASA Astrophysics Data System (ADS)

Ng, Liang S.; Champion, Corbin

2016-02-01

Recent developments in graph database mostly are huge projects involving big organizations, big operations and big capital, as the name Big Data attests. We proposed the concept of One Universal Graph (OUG) which states that all observable and known objects and concepts (physical, conceptual or digitally represented) can be connected with only one single graph; furthermore the OUG can be implemented with a very simple text file format with free software, capable of being executed on Android or smaller devices. As such the One Universal Graph Data Exchange (GOUDEX) modules can potentially be installed on hundreds of millions of Android devices and Intel compatible computers shipped annually. Coupled with its open nature and ability to connect to existing leading search engines and databases currently in operation, GOUDEX has the potential to become the largest and a better interface for users and programmers to interact with the data on the Internet. With a Web User Interface for users to use and program in native Linux environment, Free Crowdware implemented in GOUDEX can help inexperienced users learn programming with better organized documentation for free software, and is able to manage programmer's contribution down to a single line of code or a single variable in software projects. It can become the first practically realizable “Internet brain” on which a global artificial intelligence system can be implemented. Being practically free and open, One Universal Graph can have significant applications in robotics, artificial intelligence as well as social networks.

Associations between empathy and big five personality traits among Chinese undergraduate medical students

PubMed Central

Song, Yang; Shi, Meng

2017-01-01

Background Empathy promotes positive physician-patient communication and is associated with improved patient satisfaction, treatment adherence and clinical outcomes. It has been suggested that personality traits should be taken into consideration in programs designed to enhance empathy in medical education due to the association found between personality and empathy among medical students. However, the associations between empathy and big five personality traits in medical education are still underrepresented in the existing literature and relevant studies have not been conducted among medical students in China, where tensions in the physician-patient relationship have been reported as outstanding problems in the context of China’s current medical reform. Thus, the main objective of this study was to examine the associations between empathy and big five personality traits among Chinese medical students. Methods A cross-sectional study was conducted in a medical university in Northeast China in June 2016. Self-reported questionnaires including the Interpersonal Reactivity Index (IRI) and Big Five Inventory (BFI) and demographic characteristics were distributed. A total of 530 clinical medical students became our final subjects. Hierarchical regression analysis was performed to explore the effects of big five personality traits on empathy. Results Results of this study showed that big five personality traits accounted for 19.4%, 18.1%, 30.2% of the variance in three dimensions of empathy, namely, perspective taking, empathic concern and personal distress, respectively. Specifically, agreeableness had a strong positive association with empathic concern (β = 0.477, P<0.01), and a moderate association with perspective taking (β = 0.349, P<0.01). Neuroticism was strongly associated with personal distress (β = 0.526, P<0.01) and modestly associated with perspective taking (β = 0.149, P<0.01). Openness to experience had modest associations with perspective taking (β = 0.150, P<0.01) and personal distress (β = -0.160, P<0.01). Conscientiousness had a modest association with perspective taking (β = 0.173, P<0.01). Conclusion This study revealed that big five personality traits were important predictors of self-reported measures of both cognitive and affective empathy among Chinese medical students. Therefore, individualized intervention strategies based on personality traits could be integrated into programs to enhance empathy in medical education. PMID:28187194

Multilevel groundwater monitoring of hydraulic head and temperature in the eastern Snake River Plain aquifer, Idaho National Laboratory, Idaho, 2011-13

USGS Publications Warehouse

Twining, Brian V.; Fisher, Jason C.

2015-01-01

Normalized mean head values were analyzed for all 11 multilevel monitoring wells for the period of record (2007–13). The mean head values suggest a moderately positive correlation among all boreholes and generally reflect regional fluctuations in water levels in response to seasonal climatic changes. Boreholes within volcanic rift zones and near the southern boundary (USGS 103, USGS 105, USGS 108, USGS 132, USGS 135, USGS 137A) display a temporal correlation that is strongly positive. Boreholes in the Big Lost Trough display some variations in temporal correlations that may result from proximity to the mountain front to the northwest and episodic flow in the Big Lost River drainage system. For example, during June 2012, boreholes MIDDLE 2050A and MIDDLE 2051 showed head buildup within the upper zones when compared to the June 2010 profile event, which correlates to years when surface water was reported for the Big Lost River several months preceding the measurement period. With the exception of borehole USGS 134, temporal correlation between MLMS wells completed within the Big Lost Trough is generally positive. Temporal correlation for borehole USGS 134 shows the least agreement with other MLMS boreholes located within the Big Lost Trough; however, borehole USGS 134 is close to the mountain front where tributary valley subsurface inflow is suspected.

Making sense of metacommunities: dispelling the mythology of a metacommunity typology.

PubMed

Brown, Bryan L; Sokol, Eric R; Skelton, James; Tornwall, Brett

2017-03-01

Metacommunity ecology has rapidly become a dominant framework through which ecologists understand the natural world. Unfortunately, persistent misunderstandings regarding metacommunity theory and the methods for evaluating hypotheses based on the theory are common in the ecological literature. Since its beginnings, four major paradigms-species sorting, mass effects, neutrality, and patch dynamics-have been associated with metacommunity ecology. The Big 4 have been misconstrued to represent the complete set of metacommunity dynamics. As a result, many investigators attempt to evaluate community assembly processes as strictly belonging to one of the Big 4 types, rather than embracing the full scope of metacommunity theory. The Big 4 were never intended to represent the entire spectrum of metacommunity dynamics and were rather examples of historical paradigms that fit within the new framework. We argue that perpetuation of the Big 4 typology hurts community ecology and we encourage researchers to embrace the full inference space of metacommunity theory. A related, but distinct issue is that the technique of variation partitioning is often used to evaluate the dynamics of metacommunities. This methodology has produced its own set of misunderstandings, some of which are directly a product of the Big 4 typology and others which are simply the product of poor study design or statistical artefacts. However, variation partitioning is a potentially powerful technique when used appropriately and we identify several strategies for successful utilization of variation partitioning.

Big data - smart health strategies. Findings from the yearbook 2014 special theme.

PubMed

Koutkias, V; Thiessard, F

2014-08-15

To select best papers published in 2013 in the field of big data and smart health strategies, and summarize outstanding research efforts. A systematic search was performed using two major bibliographic databases for relevant journal papers. The references obtained were reviewed in a two-stage process, starting with a blinded review performed by the two section editors, and followed by a peer review process operated by external reviewers recognized as experts in the field. The complete review process selected four best papers, illustrating various aspects of the special theme, among them: (a) using large volumes of unstructured data and, specifically, clinical notes from Electronic Health Records (EHRs) for pharmacovigilance; (b) knowledge discovery via querying large volumes of complex (both structured and unstructured) biological data using big data technologies and relevant tools; (c) methodologies for applying cloud computing and big data technologies in the field of genomics, and (d) system architectures enabling high-performance access to and processing of large datasets extracted from EHRs. The potential of big data in biomedicine has been pinpointed in various viewpoint papers and editorials. The review of current scientific literature illustrated a variety of interesting methods and applications in the field, but still the promises exceed the current outcomes. As we are getting closer towards a solid foundation with respect to common understanding of relevant concepts and technical aspects, and the use of standardized technologies and tools, we can anticipate to reach the potential that big data offer for personalized medicine and smart health strategies in the near future.

Big Data - Smart Health Strategies

PubMed Central

2014-01-01

Summary Objectives To select best papers published in 2013 in the field of big data and smart health strategies, and summarize outstanding research efforts. Methods A systematic search was performed using two major bibliographic databases for relevant journal papers. The references obtained were reviewed in a two-stage process, starting with a blinded review performed by the two section editors, and followed by a peer review process operated by external reviewers recognized as experts in the field. Results The complete review process selected four best papers, illustrating various aspects of the special theme, among them: (a) using large volumes of unstructured data and, specifically, clinical notes from Electronic Health Records (EHRs) for pharmacovigilance; (b) knowledge discovery via querying large volumes of complex (both structured and unstructured) biological data using big data technologies and relevant tools; (c) methodologies for applying cloud computing and big data technologies in the field of genomics, and (d) system architectures enabling high-performance access to and processing of large datasets extracted from EHRs. Conclusions The potential of big data in biomedicine has been pinpointed in various viewpoint papers and editorials. The review of current scientific literature illustrated a variety of interesting methods and applications in the field, but still the promises exceed the current outcomes. As we are getting closer towards a solid foundation with respect to common understanding of relevant concepts and technical aspects, and the use of standardized technologies and tools, we can anticipate to reach the potential that big data offer for personalized medicine and smart health strategies in the near future. PMID:25123721

The Big-Bubble Full Femtosecond Laser-Assisted Technique in Deep Anterior Lamellar Keratoplasty.

PubMed

Buzzonetti, Luca; Petrocelli, Gianni; Valente, Paola; Iarossi, Giancarlo; Ardia, Roberta; Petroni, Sergio; Parrilla, Rosa

2015-12-01

To describe the big-bubble full femtosecond laser-assisted (BBFF) technique, which could be helpful in standardizing the big-bubble technique in deep anterior lamellar keratoplasty (DALK). Ten eyes of 10 consecutive patients affected by keratoconus underwent the BBFF technique using the 150-kHz IntraLase femtosecond laser (Intra-Lase FS Laser; Abbott Medical Optics, Inc., Santa Ana, CA). A 9-mm diameter metal mask with a single fissure 0.7 mm wide oriented at the 12-o'clock position was positioned into the cone, over the laser glass. The laser performed a ring lamellar cut (internal diameter = 3 mm; external diameter = 8 mm) 100 µm above the thinnest point, with the photodisruption effectively occurring only in the corneal stroma corresponding to the fissure to create a deep stromal channel; subsequently, an anterior side cut created an arcuate incision, from the corneal surface to the deep stromal channel on the mask's opening site. The mask was removed and the laser performed a full lamellar cut 200 µm above the thinnest point to create a lamella. After the removal of the lamella, the air needle was inserted into the stromal channel and air was injected to achieve a big bubble. The big bubble was achieved in 9 eyes (all type 1 bubbles) and all procedures were completed as DALK. Preliminary results suggest that the BBFF technique could help in standardizing the big-bubble technique in DALK, reducing the "learning curve" for surgeons who approach this technique and the risks of intraoperative complications. Copyright 2015, SLACK Incorporated.

50 CFR 86.13 - What is boating infrastructure?

Code of Federal Regulations, 2011 CFR

2011-10-01

... (CONTINUED) FINANCIAL ASSISTANCE-WILDLIFE SPORT FISH RESTORATION PROGRAM BOATING INFRASTRUCTURE GRANT (BIG...) Floating docks and fixed piers; (g) Floating and fixed breakwaters; (h) Dinghy docks (floating or fixed...

Sneaking out of the Big House? Perceptions of African American Mentees in a Graduate-Level Teacher Education Program on a White Campus

ERIC Educational Resources Information Center

View, Jenice L.; Frederick, Rona

2011-01-01

This article highlights the voices of in-service African American teachers who are matriculating in a graduate program by exploring their perceptions of mentorship. The authors explore the dual-identity and instructional challenges of these teachers of color in a predominately "White" professional development program that seeks to mentor students…

Digital Public Relations: E-Marketing's Big Secret

ERIC Educational Resources Information Center

Gifford, Janet

2010-01-01

Online programs and courses are established presences in higher education, and so are processes such as online registration. Prospective students routinely turn to the web for information to help them decide on the most appropriate programs for their situation. Digital public relations (digital PR) is rapidly becoming one of the cornerstones of an…

Super Summer Safari Manual: 1989 Summer Library Program. Bulletin No. 9240.

ERIC Educational Resources Information Center

Roeber, Jane A., Ed.

Based on the theme, "Super Summer Safari: Make Books Your Big Game," this manual describes library activities intended to stimulate family explorations of local and regional natural environments, of urban parks, and of agricultural settings. The manual is divided into 6 sections: (1) "Planning and Promoting Programs"; (2)…

Developing Successful Global Leaders

ERIC Educational Resources Information Center

Training, 2011

2011-01-01

Everyone seems to agree the world desperately needs strong leaders who can manage a global workforce and all the inherent challenges that go with it. That's a big part of the raison d'etre for global leadership development programs. But are today's organizations fully utilizing these programs to develop global leaders, and, if so, are they…

One-to-One in Michigan

ERIC Educational Resources Information Center

McHale, Tom

2006-01-01

The Freedom to Learn (FTL) program is a statewide initiative coordinated by the Michigan Department of Education and Ferris State University in Big Rapids. Now beginning its third year, the program targets underperforming middle schools in 100 of the state's 500 districts. More than 23,000 students and 1,500 teachers have been issued HP nx9010…

Understanding Early Childhood Mental Health: A Practical Guide for Professionals

ERIC Educational Resources Information Center

Summers, Susan Janko, Ed.; Chazan-Cohen, Rachel, Ed.

2012-01-01

Integrating infant mental health services into early education programs leads to better child outcomes and stronger parent-child relationships--the big question is how to do it appropriately and effectively. Clear answers are in this accessible textbook, created to prepare early childhood professionals and programs to weave best practices in…

50 CFR 86.82 - What must be in the reports?

Code of Federal Regulations, 2012 CFR

2012-10-01

... 50 Wildlife and Fisheries 9 2012-10-01 2012-10-01 false What must be in the reports? 86.82 Section 86.82 Wildlife and Fisheries UNITED STATES FISH AND WILDLIFE SERVICE, DEPARTMENT OF THE INTERIOR (CONTINUED) FINANCIAL ASSISTANCE-WILDLIFE SPORT FISH RESTORATION PROGRAM BOATING INFRASTRUCTURE GRANT (BIG) PROGRAM Reporting Requirements for the...

Personality and Graduate Academic Performance among Counselor Education and School Psychology Students

ERIC Educational Resources Information Center

Ding, Yi; Laux, John; Salyers, Kathleen; Kozelka, Susan

2017-01-01

General personality was assessed of 104 graduate students in school counseling, mental health counseling, and school psychology programs in the United States using the Big Five model of personality domains. The students in three programs reported similarities and differences in their preference and performance in domain knowledge, with more…

50 CFR 86.53 - What are funding tiers?

Code of Federal Regulations, 2014 CFR

2014-10-01

... 50 Wildlife and Fisheries 9 2014-10-01 2014-10-01 false What are funding tiers? 86.53 Section 86.53 Wildlife and Fisheries UNITED STATES FISH AND WILDLIFE SERVICE, DEPARTMENT OF THE INTERIOR... (BIG) PROGRAM How States Apply for Grants § 86.53 What are funding tiers? (a) This grant program will...

The big five personality traits: psychological entities or statistical constructs?

PubMed

Franić, Sanja; Borsboom, Denny; Dolan, Conor V; Boomsma, Dorret I

2014-11-01

The present study employed multivariate genetic item-level analyses to examine the ontology and the genetic and environmental etiology of the Big Five personality dimensions, as measured by the NEO Five Factor Inventory (NEO-FFI) [Costa and McCrae, Revised NEO personality inventory (NEO PI-R) and NEO five-factor inventory (NEO-FFI) professional manual, 1992; Hoekstra et al., NEO personality questionnaires NEO-PI-R, NEO-FFI: manual, 1996]. Common and independent pathway model comparison was used to test whether the five personality dimensions fully mediate the genetic and environmental effects on the items, as would be expected under the realist interpretation of the Big Five. In addition, the dimensionalities of the latent genetic and environmental structures were examined. Item scores of a population-based sample of 7,900 adult twins (including 2,805 complete twin pairs; 1,528 MZ and 1,277 DZ) on the Dutch version of the NEO-FFI were analyzed. Although both the genetic and the environmental covariance components display a 5-factor structure, applications of common and independent pathway modeling showed that they do not comply with the collinearity constraints entailed in the common pathway model. Implications for the substantive interpretation of the Big Five are discussed.

Personality, Emotional Qualities of Leisure, and Subjective Well-Being in the Elderly.

PubMed

Kahlbaugh, Patricia; Huffman, Loreen

2017-07-01

In this study, we examined personality traits of older adults and their emotional experiences associated with engaging in specific leisure activities. Older individuals (17 males, 32 females), ages ranging from 65 to 97 years (mean age 74), completed measures of Big Five personality traits, positive and negative affect, subjective well-being (SWB), independent functioning, and an emotion-activity inventory. As expected, Extraversion, Agreeableness, Conscientiousness, and Openness to experience were related to positive affect, while Neuroticism was related to negative affect. Openness and Agreeableness were related to positive emotions experienced in social and cognitive domains, and Agreeableness was related to greater SWB, greater positive affect, and more positively experienced activities. Neuroticism was related to lower SWB and fewer positively experienced activities. These findings suggest that assessing the fit between personality and emotions experienced during activities should be considered when creating programs tailored to elderly individuals, with the goal of encouraging more active and rewarding lives.

50 CFR 86.100 - What is the National Framework?

Code of Federal Regulations, 2010 CFR

2010-10-01

... (CONTINUED) FINANCIAL ASSISTANCE-WILDLIFE SPORT FISH RESTORATION PROGRAM BOATING INFRASTRUCTURE GRANT (BIG.... Through a State survey, you must conduct a boating access needs assessment or data collection to determine...

50 CFR 86.100 - What is the National Framework?

Code of Federal Regulations, 2011 CFR

2011-10-01

... (CONTINUED) FINANCIAL ASSISTANCE-WILDLIFE SPORT FISH RESTORATION PROGRAM BOATING INFRASTRUCTURE GRANT (BIG.... Through a State survey, you must conduct a boating access needs assessment or data collection to determine...

Feeling Right at Home on a Big Ten Campus.

ERIC Educational Resources Information Center

Corbin, Jeffry

2001-01-01

Examines why Penn State's wayfinding program wins high marks from students and visitors alike. The school's combination of major boundary markers, kiosks, lighting, and identification signs is discussed. (GR)

50 CFR 86.100 - What is the National Framework?

Code of Federal Regulations, 2012 CFR

2012-10-01

... (CONTINUED) FINANCIAL ASSISTANCE-WILDLIFE SPORT FISH RESTORATION PROGRAM BOATING INFRASTRUCTURE GRANT (BIG.... Through a State survey, you must conduct a boating access needs assessment or data collection to determine...

50 CFR 86.137 - What variables should I consider?

Code of Federal Regulations, 2010 CFR

2010-10-01

... (CONTINUED) FINANCIAL ASSISTANCE-WILDLIFE SPORT FISH RESTORATION PROGRAM BOATING INFRASTRUCTURE GRANT (BIG... demand, (c) Cost of development, (d) Local support and commitment to maintenance, (e) Water-body size, (f...

The International Conference on Intelligent Biology and Medicine (ICIBM) 2016: from big data to big analytical tools.

PubMed

Liu, Zhandong; Zheng, W Jim; Allen, Genevera I; Liu, Yin; Ruan, Jianhua; Zhao, Zhongming

2017-10-03

The 2016 International Conference on Intelligent Biology and Medicine (ICIBM 2016) was held on December 8-10, 2016 in Houston, Texas, USA. ICIBM included eight scientific sessions, four tutorials, one poster session, four highlighted talks and four keynotes that covered topics on 3D genomics structural analysis, next generation sequencing (NGS) analysis, computational drug discovery, medical informatics, cancer genomics, and systems biology. Here, we present a summary of the nine research articles selected from ICIBM 2016 program for publishing in BMC Bioinformatics.

MiTEP's Collaborative Field Course Design Process Based on Earth Science Literacy Principles

NASA Astrophysics Data System (ADS)

Engelmann, C. A.; Rose, W. I.; Huntoon, J. E.; Klawiter, M. F.; Hungwe, K.

2010-12-01

Michigan Technological University has developed a collaborative process for designing summer field courses for teachers as part of their National Science Foundation funded Math Science Partnership program, called the Michigan Teacher Excellence Program (MiTEP). This design process was implemented and then piloted during two two-week courses: Earth Science Institute I (ESI I) and Earth Science Institute II (ESI II). Participants consisted of a small group of Michigan urban science teachers who are members of the MiTEP program. The Earth Science Literacy Principles (ESLP) served as the framework for course design in conjunction with input from participating MiTEP teachers as well as research done on common teacher and student misconceptions in Earth Science. Research on the Earth Science misconception component, aligned to the ESLP, is more fully addressed in GSA Abstracts with Programs Vol. 42, No. 5. “Recognizing Earth Science Misconceptions and Reconstructing Knowledge through Conceptual-Change-Teaching”. The ESLP were released to the public in January 2009 by the Earth Science Literacy Organizing Committee and can be found at http://www.earthscienceliteracy.org/index.html. Each day of the first nine days of both Institutes was focused on one of the nine ESLP Big Ideas; the tenth day emphasized integration of concepts across all of the ESLP Big Ideas. Throughout each day, Michigan Tech graduate student facilitators and professors from Michigan Tech and Grand Valley State University consistantly focused teaching and learning on the day's Big Idea. Many Earth Science experts from Michigan Tech and Grand Valley State University joined the MiTEP teachers in the field or on campus, giving presentations on the latest research in their area that was related to that Big Idea. Field sites were chosen for their unique geological features as well as for the “sense of place” each site provided. Preliminary research findings indicate that this collaborative design process piloted as ESI I and ESI II was successful in improving MiTEP teacher understanding of Earth Science content and that it was helpful to use the ESLP framework. Ultimately, a small sample of student scores will look at the impact on student learning in the MiTEP teacher classrooms.

Economic feasibility analysis of conventional and dedicated energy crop production

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

Nelson, R.G.; Langemeier, M.R.; Krehbiel, L.R.

Economic feasibilities (net return per acre) associated with conventional agricultural crop production versus that of dedicated bioenergy crop (herbaceous energy crops) were investigated for northeastern Kansas. Conventional agricultural crops examined were corn, soybeans, wheat, sorghum and alfalfa and dedicated herbaceous energy crops included big bluestem/indiangrass, switchgrass, eastern gamagrass, brome, fescue and cane hay. Costs, prices and government program information from public and private sources were used to project the net return per acre over a six-year period beginning in 1997. Three soil productivity levels (low, average and high), which had a direct effect on the net return per acre, weremore » used to model differences in expected yield. In all three soil productivity cases, big bluestem/indiangrass, switchgrass and brome hay provided a higher net return per acre versus conventional crops grown on both program and non-program acres. Eastern gamagrass, fescue hay and cane hay had returns that were similar or less than returns provided by conventional crops.« less

For-profit colleges.

PubMed

Deming, David; Goldin, Claudia; Katz, Lawrence

2013-01-01

For-profit, or proprietary, colleges are the fastest-growing postsecondary schools in the nation, enrolling a disproportionately high share of disadvantaged and minority students and those ill-prepared for college. Because these schools, many of them big national chains, derive most of their revenue from taxpayer-funded student financial aid, they are of interest to policy makers not only for the role they play in the higher education spectrum but also for the value they provide their students. In this article, David Deming, Claudia Goldin, and Lawrence Katz look at the students who attend for-profits, the reasons they choose these schools, and student outcomes on a number of broad measures and draw several conclusions. First, the authors write, the evidence shows that public community colleges may provide an equal or better education at lower cost than for-profits. But budget pressures mean that community colleges and other nonselective public institutions may not be able to meet the demand for higher education. Some students unable to get into desired courses and programs at public institutions may face only two alternatives: attendance at a for-profit or no postsecondary education at all. Second, for-profits appear to be at their best with well-defined programs of short duration that prepare students for a specific occupation. But for-profit completion rates, default rates, and labor market outcomes for students seeking associate's or higher degrees compare unfavorably with those of public postsecondary institutions. In principle, taxpayer investment in student aid should be accompanied by scrutiny concerning whether students complete their course of study and subsequently earn enough to justify the investment and pay back their student loans. Designing appropriate regulations to help students navigate the market for higher education has proven to be a challenge because of the great variation in student goals and types of programs. Ensuring that potential students have complete and objective information about the costs and expected benefits of for-profit programs could improve postsecondary education opportunities for disadvantaged students and counter aggressive and potentially misleading recruitment practices at for-profit colleges, the authors write.

50 CFR 86.54 - How must I submit proposals?

Code of Federal Regulations, 2010 CFR

2010-10-01

... (CONTINUED) FINANCIAL ASSISTANCE-WILDLIFE SPORT FISH RESTORATION PROGRAM BOATING INFRASTRUCTURE GRANT (BIG... from Tier Two projects. (e) You must describe each project in Tier Two separately, so that the Service...

The community-driven BiG CZ software system for integration and analysis of bio- and geoscience data in the critical zone

NASA Astrophysics Data System (ADS)

Aufdenkampe, A. K.; Mayorga, E.; Horsburgh, J. S.; Lehnert, K. A.; Zaslavsky, I.; Valentine, D. W., Jr.; Richard, S. M.; Cheetham, R.; Meyer, F.; Henry, C.; Berg-Cross, G.; Packman, A. I.; Aronson, E. L.

2014-12-01

Here we present the prototypes of a new scientific software system designed around the new Observations Data Model version 2.0 (ODM2, https://github.com/UCHIC/ODM2) to substantially enhance integration of biological and Geological (BiG) data for Critical Zone (CZ) science. The CZ science community takes as its charge the effort to integrate theory, models and data from the multitude of disciplines collectively studying processes on the Earth's surface. The central scientific challenge of the CZ science community is to develop a "grand unifying theory" of the critical zone through a theory-model-data fusion approach, for which the key missing need is a cyberinfrastructure for seamless 4D visual exploration of the integrated knowledge (data, model outputs and interpolations) from all the bio and geoscience disciplines relevant to critical zone structure and function, similar to today's ability to easily explore historical satellite imagery and photographs of the earth's surface using Google Earth. This project takes the first "BiG" steps toward answering that need. The overall goal of this project is to co-develop with the CZ science and broader community, including natural resource managers and stakeholders, a web-based integration and visualization environment for joint analysis of cross-scale bio and geoscience processes in the critical zone (BiG CZ), spanning experimental and observational designs. We will: (1) Engage the CZ and broader community to co-develop and deploy the BiG CZ software stack; (2) Develop the BiG CZ Portal web application for intuitive, high-performance map-based discovery, visualization, access and publication of data by scientists, resource managers, educators and the general public; (3) Develop the BiG CZ Toolbox to enable cyber-savvy CZ scientists to access BiG CZ Application Programming Interfaces (APIs); and (4) Develop the BiG CZ Central software stack to bridge data systems developed for multiple critical zone domains into a single metadata catalog. The entire BiG CZ Software system is being developed on public repositories as a modular suite of open source software projects. It will be built around a new Observations Data Model Version 2.0 (ODM2) that has been developed by members of the BiG CZ project team, with community input, under separate funding.

The Big Bang Theory and the Nature of Science

NASA Astrophysics Data System (ADS)

Arthury, Luiz Henrique Martins; Peduzzi, Luiz O. Q.

2015-12-01

Modern cosmology was constituted, throughout the twentieth century to the present days, as a very productive field of research, resulting in major discoveries that attest to its explanatory power. The Big Bang Theory, the generic and popular name of the standard model of cosmology, is probably the most daring research program of physics and astronomy, trying to recreate the evolution of our observable universe. But contrary to what you might think, its conjectures are of a degree of refinement and corroborative evidence that make it our best explanation for the history of our cosmos. The Big Bang Theory is also an excellent field to discuss issues regarding the scientific activity itself. In this paper we discuss the main elements of this theory with an epistemological look, resulting in a text quite useful to work on educational activities with related goals.

Measuring Adolescent Science Motivation

ERIC Educational Resources Information Center

Schumm, Maximiliane F.; Bogner, Franz X.

2016-01-01

To monitor science motivation, 232 tenth graders of the college preparatory level ("Gymnasium") completed the Science Motivation Questionnaire II (SMQ-II). Additionally, personality data were collected using a 10-item version of the Big Five Inventory. A subsequent exploratory factor analysis based on the eigenvalue-greater-than-one…

Acculturation of Personality: A Three-Culture Study of Japanese, Japanese Americans, and European Americans

PubMed Central

Güngör, Derya; Bornstein, Marc H.; De Leersnyder, Jozefien; Cote, Linda; Ceulemans, Eva; Mesquita, Batja

2013-01-01

The present study tests the hypothesis that involvement with a new culture instigates changes in personality of immigrants that result in (a) better fit with the norms of the culture of destination and (b) reduced fit with the norms of the culture of origin. Participants were 40 Japanese first-generation immigrants to the United States, 57 Japanese monoculturals, and 60 U.S. monoculturals. All participants completed the Jackson Personality Inventory (JPI) as a measure of the Big Five; immigrants completed the Japanese American Acculturation Scale. Immigrants’ fits with the cultures of destination and origin were calculated by correlating Japanese American mothers’ patterns of ratings on the Big Five with the average patterns of ratings of European Americans and Japanese on the same personality dimensions. Japanese Americans became more “American” and less “Japanese” in their personality as they reported higher participation in the U.S. culture. The results support the view that personality can be subject to cultural influence. PMID:23935211

Acculturation of Personality: A Three-Culture Study of Japanese, Japanese Americans, and European Americans.

PubMed

Güngör, Derya; Bornstein, Marc H; De Leersnyder, Jozefien; Cote, Linda; Ceulemans, Eva; Mesquita, Batja

2013-07-01

The present study tests the hypothesis that involvement with a new culture instigates changes in personality of immigrants that result in (a) better fit with the norms of the culture of destination and (b) reduced fit with the norms of the culture of origin. Participants were 40 Japanese first-generation immigrants to the United States, 57 Japanese monoculturals, and 60 U.S. monoculturals. All participants completed the Jackson Personality Inventory (JPI) as a measure of the Big Five; immigrants completed the Japanese American Acculturation Scale. Immigrants' fits with the cultures of destination and origin were calculated by correlating Japanese American mothers' patterns of ratings on the Big Five with the average patterns of ratings of European Americans and Japanese on the same personality dimensions. Japanese Americans became more "American" and less "Japanese" in their personality as they reported higher participation in the U.S. culture. The results support the view that personality can be subject to cultural influence.

A cross-cultural investigation into the relationships between personality traits and work values.

PubMed

Furnham, Adrian; Petrides, K V; Tsaousis, Ioannis; Pappas, Konstantinos; Garrod, Debi

2005-01-01

Over 500 working individuals from 2 European countries (Great Britain and Greece) participated in a 2-study investigation into the relationships between the Big Five personality factors and individuals' work values. In Study 1 (N = 314), British employees completed the 60-item NEO-Five-Factor Inventory (NEO-FFI; P. T. Costa & R. R. McCrae, 1989) and the Work Values Questionnaire (WVQ; Mantech, 1983), which comprises 37 items measuring intrinsic (e.g., autonomy) and extrinsic (e.g., pay) work values. In Study 2 (N = 216), Greek employees completed a Greek language measure of the Big Five and a translated version of the WVQ. The authors observed a similar factor structure for the WVQ items in both studies. Personality traits, age, and gender explained between 5% and 13% of the variance in the WVQ subscales. As a result of the 2 studies, the authors concluded that there are robust associations between certain personality traits and work values, although they do not clearly follow the intrinsic vs. extrinsic distinction.

75 FR 11195 - Central Arkansas National Wildlife Refuge Complex, Arkansas

Federal Register 2010, 2011, 2012, 2013, 2014

2010-03-10

... units, moist-soil units, open water areas, grassland/scrub- shrub areas, and the Big Lake Wilderness. We... forest, moist-soil, scrub- shrub, grassland, and aquatic management programs in order to increase...

Through the Eyes of NASA: NASA's 2017 Eclipse Education Progam

NASA Astrophysics Data System (ADS)

Mayo, L.

2017-12-01

Over the last three years, NASA has been developing plans to bring the August 21st total solar eclipse to the nation, "as only NASA can", leveraging its considerable space assets, technology, scientists, and its unmatched commitment to science education. The eclipse, long anticipated by many groups, represents the largest Big Event education program that NASA has ever undertaken. It is the latest in a long string of successful Big Event international celebrations going back two decades including both transits of Venus, three solar eclipses, solar maximum, and mission events such as the MSL/Curiosity landing on Mars, and the launch of the Lunar Reconnaissance Orbiter (LRO) to name a few. This talk will detail NASA's program development methods, strategic partnerships, and strategies for using this celestial event to engage the nation and improve overall science literacy.

A Partitioning and Bounded Variable Algorithm for Linear Programming

ERIC Educational Resources Information Center

Sheskin, Theodore J.

2006-01-01

An interesting new partitioning and bounded variable algorithm (PBVA) is proposed for solving linear programming problems. The PBVA is a variant of the simplex algorithm which uses a modified form of the simplex method followed by the dual simplex method for bounded variables. In contrast to the two-phase method and the big M method, the PBVA does…

50 CFR 86.70 - What are my requirements to acquire, install, operate, and maintain real and personal property?

Code of Federal Regulations, 2010 CFR

2010-10-01

... 50 Wildlife and Fisheries 6 2010-10-01 2010-10-01 false What are my requirements to acquire, install, operate, and maintain real and personal property? 86.70 Section 86.70 Wildlife and Fisheries...-WILDLIFE SPORT FISH RESTORATION PROGRAM BOATING INFRASTRUCTURE GRANT (BIG) PROGRAM How States Manage Grants...

Investing in Kids: Early Childhood Programs and Local Economic Development

ERIC Educational Resources Information Center

Bartik, Timothy J.

2011-01-01

Early childhood programs, if designed correctly, pay big economic dividends down the road because they increase the skills of their participants. And since many of those participants will remain in the same state or local area as adults, the local economy benefits: more persons with better skills attract business, which provides more and better…

Small Change, Big Difference: Heightening BSW Faculty Awareness to Elicit More Effective Student Writing

ERIC Educational Resources Information Center

Moor, Kelly S.; Jensen-Hart, Staci; Hooper, Richard I.

2012-01-01

Concerns about social work students' writing are well documented, but the cost of specialized writing programs leaves budget-stressed programs confronting a problem they may feel they have few means to address. However, a valuable resource is already available: faculty expertise in social work writing. The challenge is helping faculty realize…

The Big Picture in Bilingual Education: A Meta-Analysis Corrected for Gersten's Coding Error

ERIC Educational Resources Information Center

Rolstad, Kellie; Mahoney, Kate; Glass, Gene V.

2008-01-01

In light of a recent revelation that Gersten (1985) included erroneous information on one of two programs for English Language Learners (ELLs), the authors re-calculate results of their earlier meta-analysis of program effectiveness studies for ELLs in which Gersten's studies had behaved as outliers (Rolstad, Mahoney & Glass, 2005). The correction…

Thinking Big: A Framework for States on Scaling Up Community College Innovation

ERIC Educational Resources Information Center

Asera, Rose; McDonnell, Rachel Pleasants; Soricone, Lisa; Anderson, Nate; Endel, Barbara

2013-01-01

It is a truism of American social policy that our nation has great success generating innovative programs that improve outcomes for participants--but that we are far less effective at moving from small, "boutique" programs into broadly applied solutions that improve the prospects of large numbers of individuals. This is certainly true in…

The Power of the Symposium: Impacts from Students' Perspectives

ERIC Educational Resources Information Center

Vanek, Diana; Marra, Nancy; Hester, Carolyn; Ware, Desirae; Holian, Andrij; Ward, Tony; Knuth, Randy; Adams, Earle

2011-01-01

The Air Toxics under the Big Sky program developed at the University of Montana is a regional outreach and education initiative that offers a yearlong exploration of air quality and its relation to respiratory health. The program was designed to connect university staff and resources with rural schools enabling students to learn and apply science…

The peptidase inhibitor CGS-26303 increases endothelin converting enzyme-1 expression in endothelial cells through accumulation of big endothelin-1

PubMed Central

Raoch, V; Martinez-Miguel, P; Arribas-Gomez, I; Rodriguez-Puyol, M; Rodriguez-Puyol, D; Lopez-Ongil, S

2007-01-01

Background and purpose: CGS-26303 inhibits endothelin converting enzyme (ECE)-1 more specifically than phosphoramidon. We have studied the effect of CGS-26303 on ECE-1 expression in bovine aortic endothelial cells. Methods: ECE-1 activity and big endothelin (ET)-1 levels were measured by ELISA, ECE-1 expression using western and northern blot and promoter activity using transfection assays. Key results: ECE-1 activity was completely inhibited by CGS-26303 25 μ M and phosphoramidon 100 μ M. CGS-26303 and phosphoramidon, though not thiorphan, a neutral endopeptidase (NEP) inhibitor, stimulated ECE-1 expression in cells (maximal effect at 16 h, 25 μ M). Cycloheximide abolished that effect. CGS-26303 induced ECE-1 mRNA expression and ECE-1 promoter activity. CGS-35066, a selective ECE-1 inhibitor, mimicked the effects of CGS-26303, suggesting that the effect was specific to ECE-1 inhibition. Big ET-1 accumulated in the cells and in the supernatants after CGS-26303 treatment. Neither exogenously added ET-1 nor the blockade of their receptors with bosentan modified ECE-1 protein. When big ET-1 was added to cells, significant increases in ECE-1 protein content and ECE-1 promoter activity were found. Bosentan did not block those effects. CGS-26303 did not modify prepro-ET-1 expression. CGS-26303 and big ET-1 induced the same effects in human endothelial cells, at lower doses. Conclusions: These results suggest that the accumulation of big ET-1 is responsible for the effects of CGS-26303 on ECE-1 and they did not depend on NEP blockade. Changes in ECE-1 protein after the administration of CGS-26303 could lead to a decreased response in long-term treatments. PMID:17643133

How Universal Is the Big Five? Testing the Five-Factor Model of Personality Variation Among Forager–Farmers in the Bolivian Amazon

PubMed Central

Gurven, Michael; von Rueden, Christopher; Massenkoff, Maxim; Kaplan, Hillard; Vie, Marino Lero

2014-01-01

The five-factor model (FFM) of personality variation has been replicated across a range of human societies, suggesting the FFM is a human universal. However, most studies of the FFM have been restricted to literate, urban populations, which are uncharacteristic of the majority of human evolutionary history. We present the first test of the FFM in a largely illiterate, indigenous society. Tsimane forager–horticulturalist men and women of Bolivia (n = 632) completed a translation of the 44-item Big Five Inventory (Benet-Martínez & John, 1998), a widely used metric of the FFM. We failed to find robust support for the FFM, based on tests of (a) internal consistency of items expected to segregate into the Big Five factors, (b) response stability of the Big Five, (c) external validity of the Big Five with respect to observed behavior, (d) factor structure according to exploratory and confirmatory factor analysis, and (e) similarity with a U.S. target structure based on Procrustes rotation analysis. Replication of the FFM was not improved in a separate sample of Tsimane adults (n = 430), who evaluated their spouses on the Big Five Inventory. Removal of reverse-scored items that may have elicited response biases produced factors suggestive of Extraversion, Agreeableness, and Conscientiousness, but fit to the FFM remained poor. Response styles may covary with exposure to education, but we found no better fit to the FFM among Tsimane who speak Spanish or have attended school. We argue that Tsimane personality variation displays 2 principal factors that may reflect socioecological characteristics common to small-scale societies. We offer evolutionary perspectives on why the structure of personality variation may not be invariant across human societies. PMID:23245291

Big Five Personality Traits and Eating Attitudes in Intensively Training Dancers: The Mediating Role of Internalized Thinness Norms.

PubMed

Scoffier-Mériaux, Stéphanie; Falzon, Charlène; Lewton-Brain, Peter; Filaire, Edith; d'Arripe-Longueville, Fabienne

2015-09-01

Dancers are at high risk of developing disordered eating attitudes, notably because of internalized thinness norms. Although the big five personality traits have been shown to be associated with eating attitudes in daily life, in dancers where eating issues and thinness norms internalization could be salient little is known about these associations and the role of the internalization of thinness norms in this relationship. The main objectives of this study were thus to examine the relationships between the personality traits defined in the big five model and the self-regulation of eating attitudes, and to assess the role of internalized thinness norms in this association. The study included 180 intensively training dancers with an average age of 15.6 years (SD = 2.8). Dancers completed questionnaires measuring the big five personality traits, internalization of thinness norms and self-regulation of eating attitudes in sport. Bootstrapped mediation analyses showed that neuroticism was negatively associated with self-regulation of eating attitudes, both directly and indirectly through the mediating role of internalized thinness norms. This study suggested that: (a) neuroticism is a vulnerability factor for self-regulation of eating attitudes in dancers, as already evidenced in the general population, and (b) the internalization of thinness norms is a pathway through which neuroticism affects self-regulation of eating attitudes. The big five model is therefore partially related to the internalization of thinness norms and eating attitudes in dancers. Key pointsThe big five model relates to the internalization of thinness norms and eating attitudes in dancers.Neuroticism is negatively related to the self-regulation of eating attitudes.The internalization of thinness norms is correlated to the relationship between neuroticism and self-regulation of eating attitudes.

How universal is the Big Five? Testing the five-factor model of personality variation among forager-farmers in the Bolivian Amazon.

PubMed

Gurven, Michael; von Rueden, Christopher; Massenkoff, Maxim; Kaplan, Hillard; Lero Vie, Marino

2013-02-01

The five-factor model (FFM) of personality variation has been replicated across a range of human societies, suggesting the FFM is a human universal. However, most studies of the FFM have been restricted to literate, urban populations, which are uncharacteristic of the majority of human evolutionary history. We present the first test of the FFM in a largely illiterate, indigenous society. Tsimane forager-horticulturalist men and women of Bolivia (n = 632) completed a translation of the 44-item Big Five Inventory (Benet-Martínez & John, 1998), a widely used metric of the FFM. We failed to find robust support for the FFM, based on tests of (a) internal consistency of items expected to segregate into the Big Five factors, (b) response stability of the Big Five, (c) external validity of the Big Five with respect to observed behavior, (d) factor structure according to exploratory and confirmatory factor analysis, and (e) similarity with a U.S. target structure based on Procrustes rotation analysis. Replication of the FFM was not improved in a separate sample of Tsimane adults (n = 430), who evaluated their spouses on the Big Five Inventory. Removal of reverse-scored items that may have elicited response biases produced factors suggestive of Extraversion, Agreeableness, and Conscientiousness, but fit to the FFM remained poor. Response styles may covary with exposure to education, but we found no better fit to the FFM among Tsimane who speak Spanish or have attended school. We argue that Tsimane personality variation displays 2 principal factors that may reflect socioecological characteristics common to small-scale societies. We offer evolutionary perspectives on why the structure of personality variation may not be invariant across human societies. (c) 2013 APA, all rights reserved.

Big Five Personality Traits and Eating Attitudes in Intensively Training Dancers: The Mediating Role of Internalized Thinness Norms

PubMed Central

Scoffier-Mériaux, Stéphanie; Falzon, Charlène; Lewton-Brain, Peter; Filaire, Edith; d’Arripe-Longueville, Fabienne

2015-01-01

Dancers are at high risk of developing disordered eating attitudes, notably because of internalized thinness norms. Although the big five personality traits have been shown to be associated with eating attitudes in daily life, in dancers where eating issues and thinness norms internalization could be salient little is known about these associations and the role of the internalization of thinness norms in this relationship. The main objectives of this study were thus to examine the relationships between the personality traits defined in the big five model and the self-regulation of eating attitudes, and to assess the role of internalized thinness norms in this association. The study included 180 intensively training dancers with an average age of 15.6 years (SD = 2.8). Dancers completed questionnaires measuring the big five personality traits, internalization of thinness norms and self-regulation of eating attitudes in sport. Bootstrapped mediation analyses showed that neuroticism was negatively associated with self-regulation of eating attitudes, both directly and indirectly through the mediating role of internalized thinness norms. This study suggested that: (a) neuroticism is a vulnerability factor for self-regulation of eating attitudes in dancers, as already evidenced in the general population, and (b) the internalization of thinness norms is a pathway through which neuroticism affects self-regulation of eating attitudes. The big five model is therefore partially related to the internalization of thinness norms and eating attitudes in dancers. Key points The big five model relates to the internalization of thinness norms and eating attitudes in dancers. Neuroticism is negatively related to the self-regulation of eating attitudes. The internalization of thinness norms is correlated to the relationship between neuroticism and self-regulation of eating attitudes PMID:26336350

The research and application of the power big data

NASA Astrophysics Data System (ADS)

Zhang, Suxiang; Zhang, Dong; Zhang, Yaping; Cao, Jinping; Xu, Huiming

2017-01-01

Facing the increasing environment crisis, how to improve energy efficiency is the important problem. Power big data is main support tool to realize demand side management and response. With the promotion of smart power consumption, distributed clean energy and electric vehicles etc get wide application; meanwhile, the continuous development of the Internet of things technology, more applications access the endings in the grid power link, which leads to that a large number of electric terminal equipment, new energy access smart grid, and it will produce massive heterogeneous and multi-state electricity data. These data produce the power grid enterprise's precious wealth, as the power big data. How to transform it into valuable knowledge and effective operation becomes an important problem, it needs to interoperate in the smart grid. In this paper, we had researched the various applications of power big data and integrate the cloud computing and big data technology, which include electricity consumption online monitoring, the short-term power load forecasting and the analysis of the energy efficiency. Based on Hadoop, HBase and Hive etc., we realize the ETL and OLAP functions; and we also adopt the parallel computing framework to achieve the power load forecasting algorithms and propose a parallel locally weighted linear regression model; we study on energy efficiency rating model to comprehensive evaluate the level of energy consumption of electricity users, which allows users to understand their real-time energy consumption situation, adjust their electricity behavior to reduce energy consumption, it provides decision-making basis for the user. With an intelligent industrial park as example, this paper complete electricity management. Therefore, in the future, power big data will provide decision-making support tools for energy conservation and emissions reduction.

A Bootstrap Metropolis-Hastings Algorithm for Bayesian Analysis of Big Data.

PubMed

Liang, Faming; Kim, Jinsu; Song, Qifan

2016-01-01

Markov chain Monte Carlo (MCMC) methods have proven to be a very powerful tool for analyzing data of complex structures. However, their computer-intensive nature, which typically require a large number of iterations and a complete scan of the full dataset for each iteration, precludes their use for big data analysis. In this paper, we propose the so-called bootstrap Metropolis-Hastings (BMH) algorithm, which provides a general framework for how to tame powerful MCMC methods to be used for big data analysis; that is to replace the full data log-likelihood by a Monte Carlo average of the log-likelihoods that are calculated in parallel from multiple bootstrap samples. The BMH algorithm possesses an embarrassingly parallel structure and avoids repeated scans of the full dataset in iterations, and is thus feasible for big data problems. Compared to the popular divide-and-combine method, BMH can be generally more efficient as it can asymptotically integrate the whole data information into a single simulation run. The BMH algorithm is very flexible. Like the Metropolis-Hastings algorithm, it can serve as a basic building block for developing advanced MCMC algorithms that are feasible for big data problems. This is illustrated in the paper by the tempering BMH algorithm, which can be viewed as a combination of parallel tempering and the BMH algorithm. BMH can also be used for model selection and optimization by combining with reversible jump MCMC and simulated annealing, respectively.

A Bootstrap Metropolis–Hastings Algorithm for Bayesian Analysis of Big Data

PubMed Central

Kim, Jinsu; Song, Qifan

2016-01-01

Markov chain Monte Carlo (MCMC) methods have proven to be a very powerful tool for analyzing data of complex structures. However, their computer-intensive nature, which typically require a large number of iterations and a complete scan of the full dataset for each iteration, precludes their use for big data analysis. In this paper, we propose the so-called bootstrap Metropolis-Hastings (BMH) algorithm, which provides a general framework for how to tame powerful MCMC methods to be used for big data analysis; that is to replace the full data log-likelihood by a Monte Carlo average of the log-likelihoods that are calculated in parallel from multiple bootstrap samples. The BMH algorithm possesses an embarrassingly parallel structure and avoids repeated scans of the full dataset in iterations, and is thus feasible for big data problems. Compared to the popular divide-and-combine method, BMH can be generally more efficient as it can asymptotically integrate the whole data information into a single simulation run. The BMH algorithm is very flexible. Like the Metropolis-Hastings algorithm, it can serve as a basic building block for developing advanced MCMC algorithms that are feasible for big data problems. This is illustrated in the paper by the tempering BMH algorithm, which can be viewed as a combination of parallel tempering and the BMH algorithm. BMH can also be used for model selection and optimization by combining with reversible jump MCMC and simulated annealing, respectively. PMID:29033469

The incremental validity of the dark triad in predicting driving aggression.

PubMed

Burtăverde, Vlad; Chraif, Mihaela; Aniţei, Mihai; Mihăilă, Teodor

2016-11-01

This research tested the association between the Dark Triad and driving aggression as well as the incremental validity of the Dark Triad in predicting aggressive driving and the mediation role of the Dark Triad in the relationship between Big Five personality factors and aggressive driving. 274 undergraduate students in Study 1 and 95 amateur drivers in Study 2 completed measures of the Dark Triad (Machiavellianism, Narcissism and Psychopathy), the Big Five personality factors and the aggressive driving expression. Results showed that all the Dark Triad traits were related to aggressive driving behavior in both Study 1 and Study 2 and that the Dark Triad predicted driving aggression after the effect of the Big five personality factors was controlled, with Psychopathy being the strongest predictor of driving aggression in both Study 1 and Study 2. Machiavellianism and Psychopathy mediated the relationship between Emotional Stability, Agreeableness, Conscientiousness on one hand and aggressive driving on the other hand. Copyright © 2016 Elsevier Ltd. All rights reserved.

Higher-order Traits and Happiness in the Workplace: The Importance of Occupational Project Scale for the Evaluation of Characteristic Adaptations.

PubMed

Buruk, Pelin; Şimşek, Ömer Faruk; Kocayörük, Ercan

2017-01-01

This study attempts to explain the relationship between job satisfaction and the Big Two, Stability and Plasticity, which are the higher-order traits of Big Five. Occupational Project, a narrative construct, was considered a mediator variable in this relationship. Occupational Project consists of affective and cognitive evaluations of an individual's work life as a project in terms of the completed (past), the ongoing (present) and the prospective (future) parts. The survey method was applied to a sample of 253 participants. The results supported the proposed model, in which Occupational Project mediated the relationship between the Big Two and both job satisfaction and affect in workplace. Discussion is focused on applying Occupational Project as a practical tool for management. Consideration of an employee's Occupational Project could provide management with a means to question, understand, intervene with and redefine the narrative quality of his/her occupational project that influences job satisfaction.

SSC microgravity sounding rocket program MASER.

PubMed

Jonsson, R

1988-01-01

The Swedish Microgravity Sounding Rocket program MASER is presented. Especially the MASER 1 payload is depicted, but also an outlook for the future possibilities within the Short Duration Flight Opportunities is given. Furthermore the coordination and relation with the German TEXUS program is touched upon. With the two TEXUS and MASER programs--possibly together with other fascinating projects like M-ARIES and MG-M-ARIANNE--the microgravity scientific community in Europe should get reasonable amounts of flight opportunities in preparation for the big space venture the European Space Station.

Big Wind Turbines Require Infrastructure Upgrades - Continuum Magazine |

Science.gov Websites

rapidly. To that end, NREL has been completing electrical infrastructure upgrades to accommodate utility in the fall of 2009 necessitated infrastructure upgrades. Now the NWTC's electrical infrastructure eastern-most row on site. Interconnecting these large turbines required major electrical infrastructure

Empowering Physicians with Financial Literacy.

PubMed

Bar-Or, Yuval

2015-01-01

Most doctors complete their medical training without sufficient knowledge of business and finance. This leads to inefficient financial decisions, avoidable losses, and unnecessary anxiety. A big part of the problem is that the existing options for gaining financial knowledge are flawed. The ideal solution is to provide a simple framework of financial literacy to all students: one that can be adapted to their specific circumstances. That framework must be delivered by an objective expert to young physicians before they complete medical training.

U.S. Department of Education Chapter of Blacks In Government (BIG) in Partnership with the EEOS Office at the U.S. Department of Education 2013 Black History Month Programs

ERIC Educational Resources Information Center

Gill, Wanda E.

2013-01-01

The 2013 Black History Month Programs at the U.S. Department of Education highlighted and celebrated emancipation, Civil Rights, the histories of key Black organizations and the contributions of Historically Black Colleges and Universities through a series of programs offered both in Barnard Auditorium at headquarters on Maryland Avenue, S.W,…

The Challenge of the Future

NASA Technical Reports Server (NTRS)

Boyer, Justiss

2007-01-01

The presentation will focus primarily on Marketing and Branding Forms organizations and groups who are interested in competing in the future. The seven slides that pertain to the Shuttle program briefly describe the Oribital Processing Facilities and other important facilities, how big the Shuttle is in comparison to a D-9, and engine information. I talk about my role in the program through the Forms Management program and then move into the Marketing and Branding portion.

A Visit with Mildred Milliea of Big Cove, New Brunswick

ERIC Educational Resources Information Center

Gray, Viviane

1976-01-01

Mildred Milliea has researched and developed the only Micmac language program in the Maritimes. The Micmac alphabet with equivalent sounds, the numerical system, and examples of new Micmac words are given. (NQ)

Energy Conservation--A Big Payoff.

ERIC Educational Resources Information Center

Weinerman, Robert A.

1979-01-01

The author explains how, by investing $250,000 in a five-year program of insulation and heating system improvement, Loomis Chaffee School has reduced its yearly fuel consumption from 16,000 to 9,000 barrels of oil. (SJL)

Astronomy Students Learn to Think Big.

ERIC Educational Resources Information Center

Somerville, W. B.

1989-01-01

Presents background information related to astronomy for high school students. Discusses the differences between astronomy and astrophysics, and the employment of the astronomy graduates. Lists degree programs in astronomy and related subjects in an appendix. (YP)

Big Data, Big Research: Implementing Population Health-Based Research Models and Integrating Care to Reduce Cost and Improve Outcomes.

PubMed

Anoushiravani, Afshin A; Patton, Jason; Sayeed, Zain; El-Othmani, Mouhanad M; Saleh, Khaled J

2016-10-01

Recent trends in clinical research have moved attention toward reporting clinical outcomes and resource consumption associated with various care processes. This change is the result of technological advancement and a national effort to critically assess health care delivery. As orthopedic surgeons traverse an unchartered health care environment, a more complete understanding of how clinical research is conducted using large data sets is necessary. The purpose of this article is to review various advantages and disadvantages of large data sets available for orthopaedic use, examine their ideal use, and report how they are being implemented nationwide. Copyright © 2016 Elsevier Inc. All rights reserved.

National Dam Inspection Program. Big Elk Lake Dam (NDI I.D. PA-0056 DER I.D. 058-019) Susquehanna River Basin, Elk Lake Stream, Susquehanna County, Pennsylvania. Phase I Inspection Report.

DTIC Science & Technology

1981-03-19

Drainage Area 2.88 square miles(") b. Discharge at Dam Site ( cfs ) Maximum known flood at dam site Unknown Outlet conduit at maximum pool Not...the spillway was determined to be 164 cfs , based on the available 2.7-foot freeboard relative to the crest of the embankment. The Big Elk Lake watershed...computer analysis are presented in Appendix D. The 100-year flood, determined according to the recommended procedure, was found to have a peak of 2290 cfs

A Smile as Big as the Moon

NASA Image and Video Library

2014-10-15

Michael Kersjes, author and former special education teacher and football coach from Michigan, speaks to workers during the Disability Awareness and Action Working Group, or DAAWG, event at NASA's Kennedy Space Center in Florida. The theme of his presentation was "Power of the Human Spirit." Kersjes is the author of the book, "A Smile as Big as the Moon," which told the true story of how he worked to get special education students into Space Camp, a competitive education program at the U.S. Space and Rocket Center in Huntsville, Alabama. His book was made into a movie in 2012.

The Big-Five Personality Traits, Maternal Smoking during Pregnancy, and Educational Qualifications as Predictors of Tobacco Use in a Nationally Representative Sample.

PubMed

Cheng, Helen; Furnham, Adrian

2016-01-01

To investigate the associations between the Big-Five personality traits, parental social class, maternal smoking status during pregnancy, childhood cognitive ability, education and occupation, and tobacco use in a longitudinal birth cohort study. 17,415 babies born in Great Britain in 1958 and followed up at 11, 33, and 50 years of age. Lifelong tobacco use status (ever/never) and current tobacco use status (yes/no) at age 50 years were the outcome measures respectively. Logistic regression analyses showed that among the 5,840 participants with complete data, whilst maternal smoking status, educational qualifications, and all the big-5 personality traits were significant predictors of adult lifelong tobacco use; educational qualifications, own occupational levels, traits Extraversion, Conscientiousness, and Openness were significant predictors of current smoking status. In lifelong measure men tended to have a greater rate of tobacco use than women (52.1% in men and 49.2% in women). However, the sex effect on lifelong tobacco use ceased to be significant once a set of socio-economic and psychological variables in childhood and adulthood were taken into account. Educational qualifications and the Big-Five personality traits were significantly associated with both current and lifelong tobacco use status.

The Big-Five Personality Traits, Maternal Smoking during Pregnancy, and Educational Qualifications as Predictors of Tobacco Use in a Nationally Representative Sample

PubMed Central

Cheng, Helen; Furnham, Adrian

2016-01-01

Objective To investigate the associations between the Big-Five personality traits, parental social class, maternal smoking status during pregnancy, childhood cognitive ability, education and occupation, and tobacco use in a longitudinal birth cohort study. Method 17,415 babies born in Great Britain in 1958 and followed up at 11, 33, and 50 years of age. Lifelong tobacco use status (ever/never) and current tobacco use status (yes/no) at age 50 years were the outcome measures respectively. Results Logistic regression analyses showed that among the 5,840 participants with complete data, whilst maternal smoking status, educational qualifications, and all the big-5 personality traits were significant predictors of adult lifelong tobacco use; educational qualifications, own occupational levels, traits Extraversion, Conscientiousness, and Openness were significant predictors of current smoking status. In lifelong measure men tended to have a greater rate of tobacco use than women (52.1% in men and 49.2% in women). However, the sex effect on lifelong tobacco use ceased to be significant once a set of socio-economic and psychological variables in childhood and adulthood were taken into account. Conclusion Educational qualifications and the Big-Five personality traits were significantly associated with both current and lifelong tobacco use status. PMID:26731730

Role of the Big Five Personality Traits in Predicting College Students' Academic Motivation and Achievement

ERIC Educational Resources Information Center

Komarraju, Meera; Karau, Steven J.; Schmeck, Ronald R.

2009-01-01

College students (308 undergraduates) completed the Five Factor Inventory and the Academic Motivations Scale, and reported their college grade point average (GPA). A correlation analysis revealed an interesting pattern of significant relationships. Further, regression analyses indicated that conscientiousness and openness explained 17% of the…

50 CFR 660.112 - Trawl fishery-prohibitions.

Code of Federal Regulations, 2011 CFR

2011-10-01

.../or file, retain or make available any and all reports of groundfish landings, containing all data... Bay/Canyon, Point Sur Deep, Big Sur Coast/Port San Luis, East San Lucia Bank, Point Conception, Hidden.... bleeding) before the observer has completed their data collection. (9) Mix catch from more than one haul...

Empirical Identification of the Major Facets of Conscientiousness

ERIC Educational Resources Information Center

MacCann, Carolyn; Duckworth, Angela Lee; Roberts, Richard D.

2009-01-01

Conscientiousness is often found to predict academic outcomes, but is defined differently by different models of personality. High school students (N = 291) completed a large number of Conscientiousness items from different models and the Big Five Inventory (BFI). Exploratory and confirmatory factor analysis of the items uncovered eight facets:…

Big Ideas and Small Solutions

ERIC Educational Resources Information Center

Tennant, Roy

2004-01-01

Small solutions solve discrete, well-bounded problems and can be pieces of larger solutions. They can move things forward by mixing and matching available components in new and previously unimagined ways. A number of innovations, which at first glance are completely unrelated, can come together and create important synergics. This article…

Towards Changes in Information Security Education

ERIC Educational Resources Information Center

Hentea, Mariana; Dhillon, Harpal S.; Dhillon, Manpreet

2006-01-01

Despite a variety of Information Security Assurance (ISA) curricula and diverse educational models, universities often fail to provide their graduates with skills demanded by employers. There is a big discrepancy between the levels of skills expected by employers and those the graduates have after completing their studies. The authors compare the…

76 FR 14058 - Notice of Inventory Completion: University of Wyoming, Anthropology Department, Human Remains...

Federal Register 2010, 2011, 2012, 2013, 2014

2011-03-15

...: University of Wyoming, Anthropology Department, Human Remains Repository, Laramie, WY AGENCY: National Park... Repository, Laramie, WY. The human remains were removed from the east side of the Big Horn Mountains in the... made by University of Wyoming, Anthropology Department, Human Remains Repository, professional staff in...

50 CFR 660.112 - Trawl fishery-prohibitions.

Code of Federal Regulations, 2012 CFR

2012-10-01

.../or file, retain or make available any and all reports of groundfish landings, containing all data... Bay/Canyon, Point Sur Deep, Big Sur Coast/Port San Luis, East San Lucia Bank, Point Conception, Hidden...) Discard any catch from the codend or net (i.e. bleeding) before the observer has completed their data...

Open source software projects of the caBIG In Vivo Imaging Workspace Software special interest group.

PubMed

Prior, Fred W; Erickson, Bradley J; Tarbox, Lawrence

2007-11-01

The Cancer Bioinformatics Grid (caBIG) program was created by the National Cancer Institute to facilitate sharing of IT infrastructure, data, and applications among the National Cancer Institute-sponsored cancer research centers. The program was launched in February 2004 and now links more than 50 cancer centers. In April 2005, the In Vivo Imaging Workspace was added to promote the use of imaging in cancer clinical trials. At the inaugural meeting, four special interest groups (SIGs) were established. The Software SIG was charged with identifying projects that focus on open-source software for image visualization and analysis. To date, two projects have been defined by the Software SIG. The eXtensible Imaging Platform project has produced a rapid application development environment that researchers may use to create targeted workflows customized for specific research projects. The Algorithm Validation Tools project will provide a set of tools and data structures that will be used to capture measurement information and associated needed to allow a gold standard to be defined for the given database against which change analysis algorithms can be tested. Through these and future efforts, the caBIG In Vivo Imaging Workspace Software SIG endeavors to advance imaging informatics and provide new open-source software tools to advance cancer research.

Violence in television commercials during nonviolent programming. The 1996 Major League Baseball playoffs.

PubMed

Anderson, C

1997-10-01

To identify the frequency of violent television commercials aired during major league baseball playoffs, traditionally thought to be a family-oriented viewing time. All 6 World Series games televised on the Fox Television Network (Fox), all 5 American League Championship Series playoff games televised by the National Broadcasting Company (NBC), and 4 first-round playoff games televised by ESPN Sports Television Network (ESPN) were videotaped in October 1996. During the 15 televised games reviewed, 104 (6.8%) of the 1528 commercials contained violent content. Sixty-one commercials (10 per game) that included violent interactions were noted during the World Series, 30 (6 per game) during the American League Championship Series, and 13 (3 per game) during the 4 first-round playoff games for a total of 104. In these 104 violent commercials, 69 contained at least 1 violent act, 90 contained at least 1 violent threat, and 27 contained evidence of at least 1 violent consequence. Seventy (67.3%) of the violent commercials were promotions for television programs, 7 (6.7%) were cable television program advertisements, and 20 (19.2%) were big-screen movie promotions. Twenty (71.4%) of 28 big-screen movie promotions were violent. Twenty-two (21.2%) of the 104 violent commercials and 7 "nonviolent" commercials contained blood or other graphic content, all of which were televised during the Fox presentation of the World Series. Fox also accounted for all 24 violent commercials that used a knife. Guns were involved in 25 violent commercials on NBC (5.0 per game), in 20 on Fox (3.33 per game), and in 7 on ESPN (1.75 per game). Overt violent content in commercials during the 1996 major league playoffs was common and consisted mainly of promotions for television programs and big-screen movies. It is counterintuitive to find such commercials in nonviolent programming and makes it difficult for parents to avoid exposing their children to this form of violence.

The Big Picture: A Meta-Analysis of Program Effectiveness Research on English Language Learners

ERIC Educational Resources Information Center

Rolstad, Kellie; Mahoney, Kate; Glass, Gene V.

2005-01-01

This article presents a meta-analysis of program effectiveness research on English language learners. The study includes a corpus of 17 studies conducted since Willig's earlier meta-analysis and uses Glass, McGaw, and Smith's strategy of including as many studies as possible in the analysis rather than excluding some on the basis of a priori…

50 CFR 86.53 - What are funding tiers?

Code of Federal Regulations, 2013 CFR

2013-10-01

... 50 Wildlife and Fisheries 9 2013-10-01 2013-10-01 false What are funding tiers? 86.53 Section 86... (BIG) PROGRAM How States Apply for Grants § 86.53 What are funding tiers? (a) This grant program will consist of two tiers of funding. (i) You may apply for one or both tiers. (ii) The two tiers will allow...

A Big Apple for Educators: New York City's Experiment with Schoolwide Performance Bonuses. Final Evaluation Report. Monograph

ERIC Educational Resources Information Center

Marsh, Julie A.; Springer, Matthew G.; McCaffrey, Daniel F.; Yuan, Kun; Epstein, Scott; Koppich, Julia; Kalra, Nidhi; DiMartino, Catherine; Peng, Art

2011-01-01

In the 2007-2008 school year, the New York City Department of Education and the United Federation of Teachers jointly implemented the Schoolwide Performance Bonus Program in a random sample of the city's high-needs public schools. The program lasted for three school years, and its broad objective was to improve student performance through…

BigFoot: Bayesian alignment and phylogenetic footprinting with MCMC.

PubMed

Satija, Rahul; Novák, Adám; Miklós, István; Lyngsø, Rune; Hein, Jotun

2009-08-28

We have previously combined statistical alignment and phylogenetic footprinting to detect conserved functional elements without assuming a fixed alignment. Considering a probability-weighted distribution of alignments removes sensitivity to alignment errors, properly accommodates regions of alignment uncertainty, and increases the accuracy of functional element prediction. Our method utilized standard dynamic programming hidden markov model algorithms to analyze up to four sequences. We present a novel approach, implemented in the software package BigFoot, for performing phylogenetic footprinting on greater numbers of sequences. We have developed a Markov chain Monte Carlo (MCMC) approach which samples both sequence alignments and locations of slowly evolving regions. We implement our method as an extension of the existing StatAlign software package and test it on well-annotated regions controlling the expression of the even-skipped gene in Drosophila and the alpha-globin gene in vertebrates. The results exhibit how adding additional sequences to the analysis has the potential to improve the accuracy of functional predictions, and demonstrate how BigFoot outperforms existing alignment-based phylogenetic footprinting techniques. BigFoot extends a combined alignment and phylogenetic footprinting approach to analyze larger amounts of sequence data using MCMC. Our approach is robust to alignment error and uncertainty and can be applied to a variety of biological datasets. The source code and documentation are publicly available for download from http://www.stats.ox.ac.uk/~satija/BigFoot/

A DNA-based semantic fusion model for remote sensing data.

PubMed

Sun, Heng; Weng, Jian; Yu, Guangchuang; Massawe, Richard H

2013-01-01

Semantic technology plays a key role in various domains, from conversation understanding to algorithm analysis. As the most efficient semantic tool, ontology can represent, process and manage the widespread knowledge. Nowadays, many researchers use ontology to collect and organize data's semantic information in order to maximize research productivity. In this paper, we firstly describe our work on the development of a remote sensing data ontology, with a primary focus on semantic fusion-driven research for big data. Our ontology is made up of 1,264 concepts and 2,030 semantic relationships. However, the growth of big data is straining the capacities of current semantic fusion and reasoning practices. Considering the massive parallelism of DNA strands, we propose a novel DNA-based semantic fusion model. In this model, a parallel strategy is developed to encode the semantic information in DNA for a large volume of remote sensing data. The semantic information is read in a parallel and bit-wise manner and an individual bit is converted to a base. By doing so, a considerable amount of conversion time can be saved, i.e., the cluster-based multi-processes program can reduce the conversion time from 81,536 seconds to 4,937 seconds for 4.34 GB source data files. Moreover, the size of result file recording DNA sequences is 54.51 GB for parallel C program compared with 57.89 GB for sequential Perl. This shows that our parallel method can also reduce the DNA synthesis cost. In addition, data types are encoded in our model, which is a basis for building type system in our future DNA computer. Finally, we describe theoretically an algorithm for DNA-based semantic fusion. This algorithm enables the process of integration of the knowledge from disparate remote sensing data sources into a consistent, accurate, and complete representation. This process depends solely on ligation reaction and screening operations instead of the ontology.

A DNA-Based Semantic Fusion Model for Remote Sensing Data

PubMed Central

Sun, Heng; Weng, Jian; Yu, Guangchuang; Massawe, Richard H.

2013-01-01

Semantic technology plays a key role in various domains, from conversation understanding to algorithm analysis. As the most efficient semantic tool, ontology can represent, process and manage the widespread knowledge. Nowadays, many researchers use ontology to collect and organize data's semantic information in order to maximize research productivity. In this paper, we firstly describe our work on the development of a remote sensing data ontology, with a primary focus on semantic fusion-driven research for big data. Our ontology is made up of 1,264 concepts and 2,030 semantic relationships. However, the growth of big data is straining the capacities of current semantic fusion and reasoning practices. Considering the massive parallelism of DNA strands, we propose a novel DNA-based semantic fusion model. In this model, a parallel strategy is developed to encode the semantic information in DNA for a large volume of remote sensing data. The semantic information is read in a parallel and bit-wise manner and an individual bit is converted to a base. By doing so, a considerable amount of conversion time can be saved, i.e., the cluster-based multi-processes program can reduce the conversion time from 81,536 seconds to 4,937 seconds for 4.34 GB source data files. Moreover, the size of result file recording DNA sequences is 54.51 GB for parallel C program compared with 57.89 GB for sequential Perl. This shows that our parallel method can also reduce the DNA synthesis cost. In addition, data types are encoded in our model, which is a basis for building type system in our future DNA computer. Finally, we describe theoretically an algorithm for DNA-based semantic fusion. This algorithm enables the process of integration of the knowledge from disparate remote sensing data sources into a consistent, accurate, and complete representation. This process depends solely on ligation reaction and screening operations instead of the ontology. PMID:24116207

Causality-Preserving Timestamps in Distributed Programs

DTIC Science & Technology

1993-06-01

monitoring,deh!bigging. tac-hvon,catisaIi tvý Abstract A tachyon is an improperly ordered event in a distributed program. Tachvonis are most often...that tachyons do in fact. occur commonly in distributed pro- grams on our Ethernet at Carnegie Mellon University. and we disc’ss some ways of...before it is sent) is called a tach yon. (’learly it is very disconcerting to try to debug a parallel program that contains tachyons . Of course, in "real

Aquatic biological communities and associated habitats at selected sites in the Big Wood River Watershed, south-central Idaho, 2014

USGS Publications Warehouse

MacCoy, Dorene E.; Short, Terry M.

2016-09-28

Assessments of streamflow (discharge) parameters, water quality, physical habitat, and biological communities were completed between May and September 2014 as part of a monitoring program in the Big Wood River watershed of south-central Idaho. The sampling was conducted by the U.S. Geological Survey in cooperation with Blaine County, Trout Unlimited, the Nature Conservancy, and the Wood River Land Trust to help identify the status of aquatic resources at selected locations in the watershed. Information in this report provides a basis with which to evaluate and monitor the long-term health of the Big Wood River and its major tributaries. Sampling sites were co-located with existing U.S. Geological Survey streamgaging stations: three on the main stem Big Wood River and four on the North Fork Big Wood River (North Fork), Warm Springs Creek (Warm Sp), Trail Creek (Trail Ck), and East Fork Big Wood River (East Fork) tributaries.The analytical results and quality-assurance information for water quality, physical habitat, and biological community samples collected at study sites during 2 weeks in September 2014 are summarized. Water-quality data include concentrations of major nutrients, suspended sediment, dissolved oxygen, and fecal-coliform bacteria. To assess the potential effects of nutrient enrichment on algal growth, concentrations of periphyton biomass (chlorophyll-a and ash free dry weight) in riffle habitats were determined at each site. Physical habitat parameters include stream channel morphology, habitat volume, instream structure, substrate composition, and riparian vegetative cover. Biological data include taxa richness, abundance, and stream-health indicator metrics for macroinvertebrate and fish communities. Statistical summaries of the water-quality, habitat, and biological data are provided along with discussion of how these findings relate to the health of aquatic resources in the Big Wood River watershed.Seasonal discharge patterns using statistical summaries of daily discharge from selected sites are reported for water years 2012–15. Results showed that annual average daily mean discharge increased from the Big Wood River near Ketchum, ID (BW Ketchum) downstream to the Big Wood River at Hailey, ID (BW Hailey), but decreased by nearly 50 percent from BW Hailey downstream to Big Wood River at Stanton Crossing near Bellevue, ID (BW Stanton). Annual variability in daily mean discharge among main-stem sites was highest at BW Stanton, suggesting that this part of the river may be subject to some level of flow alteration.Hydrologic alterations resulting in flow reduction can contribute to higher water temperature, especially during the summer months when conditions are often most stressful to fish and other stream organisms. Daily water temperature and water temperature trends from June to September 2014 are reported for select tributary and main-stem sites on the Big Wood River and can be used to assess the potential for biological impairment based on aquatic life temperature criteria for cold-water streams. The State of Idaho maximum temperature criteria for protection of cold-water aquatic life of 22 °C was exceeded at Warm Sp and BW Stanton during summer 2014, but at none of the other main-stem or tributary sites. The 13 °C critical temperature criterion for salmonid spawning was exceeded in early July 2014 at BW Ketchum and BW Hailey near the end of the rainbow trout critical spawning and rearing period. Temperature exceedances were most frequent at BW Stanton, where exceedances for rainbow trout and brown trout occurred from May through early July 2014 during most of the critical spawning and rearing period.Water quality and habitat availability did not seem to be limiting for fish or other aquatic organisms at most sites in the Big Wood River watershed. Water quality assessments in September 2014 determined no exceedances of total maximum daily load target levels. The availability and quality of habitat was limited at BW Stanton, where shallow-water habitat conditions prevailed.Macroinvertebrate community diversity was high at all sites except for BW Stanton, where low community diversity was attributed to low species richness and high abundances of a few tolerant taxa. Presence of low species diversity and high macroinvertebrate tolerance values at BW Stanton indicates that benthic community condition and stream health were reduced at that location.Fish surveys done in September 2014 did not indicate any significant reductions in native fish communities in the Big Wood River or its tributaries. Native rainbow trout (Oncorhynchus mykiss) and Wood River sculpin (Cottus leiopomus) were the dominant fish species in the drainage and were found at all tributary and main-stem sites. Non-native brown (Salmo trutta) and brook trout (Salvelinus fontinalis) were limited to lower drainage sites on the Big Wood River (BW Hailey and BW Stanton), and occurred in relatively low numbers.

Big Data over a 100G network at Fermilab

DOE PAGES

Garzoglio, Gabriele; Mhashilkar, Parag; Kim, Hyunwoo; ...

2014-06-11

As the need for Big Data in science becomes ever more relevant, networks around the world are upgrading their infrastructure to support high-speed interconnections. To support its mission, the high-energy physics community as a pioneer in Big Data has always been relying on the Fermi National Accelerator Laboratory to be at the forefront of storage and data movement. This need was reiterated in recent years with the data-taking rate of the major LHC experiments reaching tens of petabytes per year. At Fermilab, this resulted regularly in peaks of data movement on the Wide area network (WAN) in and out ofmore » the laboratory of about 30 Gbit/s and on the Local are network (LAN) between storage and computational farms of 160 Gbit/s. To address these ever increasing needs, as of this year Fermilab is connected to the Energy Sciences Network (ESnet) through a 100 Gb/s link. To understand the optimal system-and application-level configuration to interface computational systems with the new highspeed interconnect, Fermilab has deployed a Network Research & Development facility connected to the ESnet 100G Testbed. For the past two years, the High Throughput Data Program (HTDP) has been using the Testbed to identify gaps in data movement middleware [5] when transferring data at these high-speeds. The program has published evaluations of technologies typically used in High Energy Physics, such as GridFTP [4], XrootD [9], and Squid [8]. Furthermore, this work presents the new R&D facility and the continuation of the evaluation program.« less

Big Data over a 100G network at Fermilab

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

Garzoglio, Gabriele; Mhashilkar, Parag; Kim, Hyunwoo

As the need for Big Data in science becomes ever more relevant, networks around the world are upgrading their infrastructure to support high-speed interconnections. To support its mission, the high-energy physics community as a pioneer in Big Data has always been relying on the Fermi National Accelerator Laboratory to be at the forefront of storage and data movement. This need was reiterated in recent years with the data-taking rate of the major LHC experiments reaching tens of petabytes per year. At Fermilab, this resulted regularly in peaks of data movement on the Wide area network (WAN) in and out ofmore » the laboratory of about 30 Gbit/s and on the Local are network (LAN) between storage and computational farms of 160 Gbit/s. To address these ever increasing needs, as of this year Fermilab is connected to the Energy Sciences Network (ESnet) through a 100 Gb/s link. To understand the optimal system-and application-level configuration to interface computational systems with the new highspeed interconnect, Fermilab has deployed a Network Research & Development facility connected to the ESnet 100G Testbed. For the past two years, the High Throughput Data Program (HTDP) has been using the Testbed to identify gaps in data movement middleware [5] when transferring data at these high-speeds. The program has published evaluations of technologies typically used in High Energy Physics, such as GridFTP [4], XrootD [9], and Squid [8]. Furthermore, this work presents the new R&D facility and the continuation of the evaluation program.« less

Complete set of homogeneous isotropic analytic solutions in scalar-tensor cosmology with radiation and curvature

NASA Astrophysics Data System (ADS)

Bars, Itzhak; Chen, Shih-Hung; Steinhardt, Paul J.; Turok, Neil

2012-10-01

We study a model of a scalar field minimally coupled to gravity, with a specific potential energy for the scalar field, and include curvature and radiation as two additional parameters. Our goal is to obtain analytically the complete set of configurations of a homogeneous and isotropic universe as a function of time. This leads to a geodesically complete description of the Universe, including the passage through the cosmological singularities, at the classical level. We give all the solutions analytically without any restrictions on the parameter space of the model or initial values of the fields. We find that for generic solutions the Universe goes through a singular (zero-size) bounce by entering a period of antigravity at each big crunch and exiting from it at the following big bang. This happens cyclically again and again without violating the null-energy condition. There is a special subset of geodesically complete nongeneric solutions which perform zero-size bounces without ever entering the antigravity regime in all cycles. For these, initial values of the fields are synchronized and quantized but the parameters of the model are not restricted. There is also a subset of spatial curvature-induced solutions that have finite-size bounces in the gravity regime and never enter the antigravity phase. These exist only within a small continuous domain of parameter space without fine-tuning the initial conditions. To obtain these results, we identified 25 regions of a 6-parameter space in which the complete set of analytic solutions are explicitly obtained.

Child survival in big cities: the disadvantages of migrants.

PubMed

Brockerhoff, M

1995-05-01

Data from 15 Demographic and Health Surveys are used to examine whether rural-urban migrants in developing countries experience higher child mortality after settling in towns and cities than do lifelong urban residents, and if so, what individual or household characteristics account for this. Findings indicate that children of female migrants from the countryside generally have much poorer survival chances than other urban children. This survival disadvantage is more pronounced in big cities than in smaller urban areas, among migrants who have lived in the city for many years than among recent migrants, and in urban Latin America than in urban North Africa and sub-Saharan Africa. Within big cities, higher child mortality among migrant women is clearly related to their concentration in low-quality housing, and in part to fertility patterns at early ages of children and mother's educational attainment at later ages. Excess child mortality among urban migrants may also result from factors associated with the migration process, that are outlined in this study but not included in the analysis. Evidence of moderately high levels of residential segregation of migrant women in big cities suggests that opportunities exist for urban health programs to direct interventions to this disadvantaged segment of city populations.

Developing the role of big data and analytics in health professional education.

PubMed

Ellaway, Rachel H; Pusic, Martin V; Galbraith, Robert M; Cameron, Terri

2014-03-01

As we capture more and more data about learners, their learning, and the organization of their learning, our ability to identify emerging patterns and to extract meaning grows exponentially. The insights gained from the analyses of these large amounts of data are only helpful to the extent that they can be the basis for positive action such as knowledge discovery, improved capacity for prediction, and anomaly detection. Big Data involves the aggregation and melding of large and heterogeneous datasets while education analytics involves looking for patterns in educational practice or performance in single or aggregate datasets. Although it seems likely that the use of education analytics and Big Data techniques will have a transformative impact on health professional education, there is much yet to be done before they can become part of mainstream health professional education practice. If health professional education is to be accountable for its programs run and are developed, then health professional educators will need to be ready to deal with the complex and compelling dynamics of analytics and Big Data. This article provides an overview of these emerging techniques in the context of health professional education.

The Effect of Diaphragmatic Breathing on Attention, Negative Affect and Stress in Healthy Adults.

PubMed

Ma, Xiao; Yue, Zi-Qi; Gong, Zhu-Qing; Zhang, Hong; Duan, Nai-Yue; Shi, Yu-Tong; Wei, Gao-Xia; Li, You-Fa

2017-01-01

A growing number of empirical studies have revealed that diaphragmatic breathing may trigger body relaxation responses and benefit both physical and mental health. However, the specific benefits of diaphragmatic breathing on mental health remain largely unknown. The present study aimed to investigate the effect of diaphragmatic breathing on cognition, affect, and cortisol responses to stress. Forty participants were randomly assigned to either a breathing intervention group (BIG) or a control group (CG). The BIG received intensive training for 20 sessions, implemented over 8 weeks, employing a real-time feedback device, and an average respiratory rate of 4 breaths/min, while the CG did not receive this treatment. All participants completed pre- and post-tests of sustained attention and affect. Additionally, pre-test and post-test salivary cortisol concentrations were determined in both groups. The findings suggested that the BIG showed a significant decrease in negative affect after intervention, compared to baseline. In the diaphragmatic breathing condition, there was a significant interaction effect of group by time on sustained attention, whereby the BIG showed significantly increased sustained attention after training, compared to baseline. There was a significant interaction effect of group and time in the diaphragmatic breathing condition on cortisol levels, whereby the BIG had a significantly lower cortisol level after training, while the CG showed no significant change in cortisol levels. In conclusion, diaphragmatic breathing could improve sustained attention, affect, and cortisol levels. This study provided evidence demonstrating the effect of diaphragmatic breathing, a mind-body practice, on mental function, from a health psychology approach, which has important implications for health promotion in healthy individuals.

Small Bodies, Big Concepts: Bringing Visual Analysis into the Middle School Classroom

NASA Astrophysics Data System (ADS)

Cobb, W. H.; Lebofsky, L. A.; Ristvey, J. D.; Buxner, S.; Weeks, S.; Zolensky, M. E.

2012-03-01

Multi-disciplinary PD model digs into high-end planetary science backed by a pedagogical framework, Designing Effective Science Instruction. NASA activities are sequenced to promote visual analysis of emerging data from Discovery Program missions.

A Big Empty Space

ERIC Educational Resources Information Center

Blake, Anthony; Francis, David

1973-01-01

Approaches to developing management ability include systematic techniques, mental enlargement, self-analysis, and job-related counseling. A method is proposed to integrate them into a responsive program involving depth understanding, vision of the future, specialization commitment to change, and self-monitoring control. (MS)

Developing and Implementing a Social Media Program While Optimizing Return on Investment--An MBA Program Case Study

ERIC Educational Resources Information Center

Gilfoil, David M.; Aukers, Steven M.; Jobs, Charles G.

2015-01-01

Over the past decade, Web 2.0 has brought a wealth of opportunities for improving marketing effectiveness; social media platforms, in particular, have proven to be exceptional tools for realizing growth potential. The big question for businesses used to be how to measure and report financial return on investment (ROI) for social media ad spend to…

IS Programs Responding to Industry Demands for Data Scientists: A Comparison between 2011-2016

ERIC Educational Resources Information Center

Mills, Robert J.; Chudoba, Katherine M.; Olsen, David H.

2016-01-01

The term data scientist has only been in common use since 2008, but in 2016 it is considered one of the top careers in the United States. The purpose of this paper is to explore the growth of data science content areas such as analytics, business intelligence, and big data in AACSB Information Systems (IS) programs between 2011 and 2016. A…

50 CFR 86.31 - How much money may I charge the public to use tie-up facilities?

Code of Federal Regulations, 2010 CFR

2010-10-01

... 50 Wildlife and Fisheries 6 2010-10-01 2010-10-01 false How much money may I charge the public to use tie-up facilities? 86.31 Section 86.31 Wildlife and Fisheries UNITED STATES FISH AND WILDLIFE... PROGRAM BOATING INFRASTRUCTURE GRANT (BIG) PROGRAM Public Use of the Facility § 86.31 How much money may I...

Who's Afraid of the Big Bad Core? The Common Core Standards and Out-of-School Time Programs

ERIC Educational Resources Information Center

Marten, Suzanne; Hill, Sara; Lawrence, Anne

2014-01-01

The Robert Bowne Foundation for out-of-school time (OST) supports the development of quality programs that offer literacy education in the out-of-school hours to children and youth of New York City, especially young people from disadvantaged communities. The foundation's networking meetings, now in their 10th year, offer quarterly forums in which…

"The next Big Five Inventory (BFI-2): Developing and assessing a hierarchical model with 15 facets to enhance bandwidth, fidelity, and predictive power": Correction to Soto and John (2016).

PubMed

2017-07-01

Reports an error in "The Next Big Five Inventory (BFI-2): Developing and Assessing a Hierarchical Model With 15 Facets to Enhance Bandwidth, Fidelity, and Predictive Power" by Christopher J. Soto and Oliver P. John ( Journal of Personality and Social Psychology , Advanced Online Publication, Apr 7, 2016, np). In the article, all citations to McCrae and Costa (2008), except for the instance in which it appears in the first paragraph of the introduction, should instead appear as McCrae and Costa (2010). The complete citation should read as follows: McCrae, R. R., & Costa, P. T. (2010). NEO Inventories professional manual. Lutz, FL: Psychological Assessment Resources. The attribution to the BFI-2 items that appears in the Table 6 note should read as follows: BFI-2 items adapted from "Conceptualization, Development, and Initial Validation of the Big Five Inventory-2," by C. J. Soto and O. P. John, 2015, Paper presented at the biennial meeting of the Association for Research in Personality. Copyright 2015 by Oliver P. John and Christopher J. Soto. The complete citation in the References list should appear as follows: Soto, C. J., & John, O. P. (2015, June). Conceptualization, development, and initial validation of the Big Five Inventory-2. Paper presented at the biennial meeting of the Association for Research in Personality, St. Louis, MO. Available from http://www.colby.edu/psych/personality-lab/ All versions of this article have been corrected. (The following abstract of the original article appeared in record 2016-17156-001.) Three studies were conducted to develop and validate the Big Five Inventory-2 (BFI-2), a major revision of the Big Five Inventory (BFI). Study 1 specified a hierarchical model of personality structure with 15 facet traits nested within the Big Five domains, and developed a preliminary item pool to measure this structure. Study 2 used conceptual and empirical criteria to construct the BFI-2 domain and facet scales from the preliminary item pool. Study 3 used data from 2 validation samples to evaluate the BFI-2's measurement properties and substantive relations with self-reported and peer-reported criteria. The results of these studies indicate that the BFI-2 is a reliable and valid personality measure, and an important advance over the original BFI. Specifically, the BFI-2 introduces a robust hierarchical structure, controls for individual differences in acquiescent responding, and provides greater bandwidth, fidelity, and predictive power than the original BFI, while still retaining the original measure's conceptual focus, brevity, and ease of understanding. The BFI-2 therefore offers valuable new opportunities for research examining the structure, assessment, development, and life outcomes of personality traits. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

Predicting Academic Success in Higher Education: What's More Important than Being Smart?

ERIC Educational Resources Information Center

Kappe, Rutger; van der Flier, Henk

2012-01-01

This study investigated the combined predictive validity of intelligence and personality factors on multiple measures of academic achievement. Students in a college of higher education in the Netherlands (N = 137) completed a survey that measured intelligence, the Big Five personality traits, motivation, and four specific personality traits.…

Small Talk: A Big Communicative Function in the Organization?

ERIC Educational Resources Information Center

Levine, Deborah Clark

Defining small talk as "superficial talk about matters of little concern," a study examined the role of small talk in the work place. Subjects, 51 white collar workers and clerical employees at three corporations, an Eastern state university, and two small businesses completed a questionnaire concerning the following questions: (1) What…

Associations between the Five-Factor Model of Personality and Health Behaviors among College Students

ERIC Educational Resources Information Center

Raynor, Douglas A.; Levine, Heidi

2009-01-01

Objective: In fall 2006, the authors examined associations between the five-factor model of personality and several key health behaviors. Methods: College students (N = 583) completed the American College Health Association-National College Health Assessment and the International Personality Item Pool Big Five short-form questionnaire. Results:…

Cocaine/Crack: The Big Lie.

ERIC Educational Resources Information Center

National Inst. on Drug Abuse (DHHS/PHS), Rockville, MD.

This pamphlet focuses on cocaine and crack use and the addictive nature of cocaine/crack. It contains a set of 21 questions about crack and cocaine, each accompanied by a clear and complete response. Interspersed throughout the booklet are photographs and quotes from former cocaine or crack users/addicts. Questions and answers focus on what…

77 FR 39251 - Endangered and Threatened Wildlife and Plants; Permit Applications

Federal Register 2010, 2011, 2012, 2013, 2014

2012-07-02

.... Submit your written data, comments, or request for a copy of the complete application to the address... enhancement of survival of the species in the wild through project planning to avoid impacts to the species... renewal, with amendments, to take Indiana bats, gray bats, lesser long nose bats, Virginia big-eared bats...

Music Ensemble Participation: Personality Traits and Music Experience

ERIC Educational Resources Information Center

Torrance, Tracy A.; Bugos, Jennifer A.

2017-01-01

The purpose of this study was two-fold: (1) to examine the relationship between personality type and ensemble choice and (2) to examine the differences in personality across age and music experience in young adults. Participants (N = 137; 68 instrumentalists, 69 vocalists) completed a demographic survey and the Big Five Personality Inventory.…

Planned Merger of 2 Big Journal Publishers Worries Academic Librarians

ERIC Educational Resources Information Center

Glenn, David

2006-01-01

Last week the venerable publisher John Wiley & Sons made a surprise announcement that it would purchase Blackwell Publishing Ltd. for about $1.13-billion, an acquisition likely to have broad consequences for the world of academic journals and libraries. Assuming that the deal is completed, Wiley's scientific, technical, and medical division will…

Assessing Collaborative Learning: Big Data, Analytics and University Futures

ERIC Educational Resources Information Center

Williams, Peter

2017-01-01

Assessment in higher education has focused on the performance of individual students. This focus has been a practical as well as an epistemic one: methods of assessment are constrained by the technology of the day, and in the past they required the completion by individuals under controlled conditions of set-piece academic exercises. Recent…

50 CFR 660.112 - Trawl fishery-prohibitions.

Code of Federal Regulations, 2013 CFR

2013-10-01

..., retain or make available any and all reports of groundfish landings, containing all data, and in the... Bay/Canyon, Point Sur Deep, Big Sur Coast/Port San Luis, East San Lucia Bank, Point Conception, Hidden...) Discard any catch from the codend or net (i.e. bleeding) before the observer has completed their data...

50 CFR 660.112 - Trawl fishery-prohibitions.

Code of Federal Regulations, 2014 CFR

2014-10-01

..., retain or make available any and all reports of groundfish landings, containing all data, and in the... Bay/Canyon, Point Sur Deep, Big Sur Coast/Port San Luis, East San Lucia Bank, Point Conception, Hidden...) Discard any catch from the codend or net (i.e. bleeding) before the observer has completed their data...

Detecting Learning Style through Biometric Technology for Mobile GBL

ERIC Educational Resources Information Center

Mehigan, Tracey J.; Pitt, Ian

2012-01-01

Adaptive learning systems tailor content delivery to meet specific needs of the individual for improved learning-outcomes. Learning-styles and personalities are usually determined through the completion of questionnaires. There are a number of models available for this purpose including the Myer-Briggs Model (MBTI), the Big Five Model, and the…

Score Big! Pinball Project Teaches Simple Machine Basics

ERIC Educational Resources Information Center

Freeman, Matthew K.

2009-01-01

This article presents a design brief for a pinball game. The design brief helps students get a better grasp on the operation and uses of simple machines. It also gives them an opportunity to develop their problem-solving skills and use design skills to complete an interesting, fun product. (Contains 2 tables and 3 photos.)

Challenges of constructing salt cavern gas storage in China

NASA Astrophysics Data System (ADS)

Xia, Yan; Yuan, Guangjie; Ban, Fansheng; Zhuang, Xiaoqian; Li, Jingcui

2017-11-01

After more than ten years of research and engineering practice in salt cavern gas storage, the engineering technology of geology, drilling, leaching, completion, operation and monitoring system has been established. With the rapid growth of domestic consumption of natural gas, the requirement of underground gas storage is increasing. Because high-quality rock salt resources about 1000m depth are relatively scarce, the salt cavern gas storages will be built in deep rock salt. According to the current domestic conventional construction technical scheme, construction in deep salt formations will face many problems such as circulating pressure increasing, tubing blockage, deformation failure, higher completion risk and so on, caused by depth and the complex geological conditions. Considering these difficulties, the differences between current technical scheme and the construction scheme of twin well and big hole are analyzed, and the results show that the technical scheme of twin well and big hole have obvious advantages in reducing the circulating pressure loss, tubing blockage and failure risk, and they can be the alternative schemes to solve the technical difficulties of constructing salt cavern gas storages in the deep rock salt.

ON THE STRUCTURE OF \\mathcal{H}_{n - 1}-ALMOST EVERYWHERE CONVEX HYPERSURFACES IN \\mathbf{R}^{n + 1}

NASA Astrophysics Data System (ADS)

Dmitriev, V. G.

1982-04-01

It is proved that a hypersurface f imbedded in \\mathbf{R}^{n + 1}, n \\geq 2, which is locally convex at all points except for a closed set E with (n - 1)-dimensional Hausdorff measure \\mathcal{K}_{n - 1}(E) = 0, and strictly convex near E is in fact locally convex everywhere. The author also gives various corollaries. In particular, let M be a complete two-dimensional Riemannian manifold of nonnegative curvature K and E \\subset M a closed subset for which \\mathcal{K}_1(E) = 0. Assume further that there exists a neighborhood U \\supset E such that K(x) > 0 for x \\in U \\setminus E, f \\colon M \\to \\mathbf{R}^3 is such that f\\big\\vert _{U \\setminus E} is an imbedding, and f\\big\\vert _{M \\setminus E} \\in C^{1, \\alpha}, \\alpha > 2/3. Then f(M) is a complete convex surface in \\mathbf{R}^3. This result is an generalization of results in the paper reviewed in MR 51 # 11374.Bibliography: 19 titles.

Affective forecasting and the Big Five

PubMed Central

Hoerger, Michael; Quirk, Stuart W.

2011-01-01

Recent studies on affective forecasting clarify that the emotional reactions people anticipate often differ markedly from those they actually experience in response to affective stimuli and events. However, core personality differences in affective forecasting have received limited attention, despite their potential relevance to choice behavior. In the present study, 226 college undergraduates rated their anticipated and experienced reactions to the emotionally-evocative event of Valentine’s Day and completed a measure of the Big Five personality traits – neuroticism, extraversion, openness to experience, agreeableness, and conscientiousness – and their facet scales. Neuroticism and extraversion were associated with baseline mood, experienced emotional reactions, and anticipated emotional reactions. The present findings hold implications for the study of individual differences in affective forecasting, personality theory, and interventions research. PMID:22021944

Zero Robotics at Kennedy Space Center Visitor Complex

NASA Image and Video Library

2017-08-11

Students and sponsors hear from astronauts aboard the International Space Station on a big screen in the Center for Space Education at NASA’s Kennedy Space Center in Florida. Teams from across the state of Florida were gathered at Kennedy for the finals of the Zero Robotics Middle School Summer Program national championship. The five-week program allows rising sixth- through ninth-graders to write programs for small satellites called SPHERES (Synchronized, Position, Hold, Engage, Reorient, Experimental Satellites). Finalists saw their code tested aboard the orbiting laboratory.

Anticipated Changes in Conducting Scientific Data-Analysis Research in the Big-Data Era

NASA Astrophysics Data System (ADS)

Kuo, Kwo-Sen; Seablom, Michael; Clune, Thomas; Ramachandran, Rahul

2014-05-01

A Big-Data environment is one that is capable of orchestrating quick-turnaround analyses involving large volumes of data for numerous simultaneous users. Based on our experiences with a prototype Big-Data analysis environment, we anticipate some important changes in research behaviors and processes while conducting scientific data-analysis research in the near future as such Big-Data environments become the mainstream. The first anticipated change will be the reduced effort and difficulty in most parts of the data management process. A Big-Data analysis environment is likely to house most of the data required for a particular research discipline along with appropriate analysis capabilities. This will reduce the need for researchers to download local copies of data. In turn, this also reduces the need for compute and storage procurement by individual researchers or groups, as well as associated maintenance and management afterwards. It is almost certain that Big-Data environments will require a different "programming language" to fully exploit the latent potential. In addition, the process of extending the environment to provide new analysis capabilities will likely be more involved than, say, compiling a piece of new or revised code. We thus anticipate that researchers will require support from dedicated organizations associated with the environment that are composed of professional software engineers and data scientists. A major benefit will likely be that such extensions are of higher-quality and broader applicability than ad hoc changes by physical scientists. Another anticipated significant change is improved collaboration among the researchers using the same environment. Since the environment is homogeneous within itself, many barriers to collaboration are minimized or eliminated. For example, data and analysis algorithms can be seamlessly shared, reused and re-purposed. In conclusion, we will be able to achieve a new level of scientific productivity in the Big-Data analysis environments.

Anticipated Changes in Conducting Scientific Data-Analysis Research in the Big-Data Era

NASA Technical Reports Server (NTRS)

Kuo, Kwo-Sen; Seablom, Michael; Clune, Thomas; Ramachandran, Rahul

2014-01-01

A Big-Data environment is one that is capable of orchestrating quick-turnaround analyses involving large volumes of data for numerous simultaneous users. Based on our experiences with a prototype Big-Data analysis environment, we anticipate some important changes in research behaviors and processes while conducting scientific data-analysis research in the near future as such Big-Data environments become the mainstream. The first anticipated change will be the reduced effort and difficulty in most parts of the data management process. A Big-Data analysis environment is likely to house most of the data required for a particular research discipline along with appropriate analysis capabilities. This will reduce the need for researchers to download local copies of data. In turn, this also reduces the need for compute and storage procurement by individual researchers or groups, as well as associated maintenance and management afterwards. It is almost certain that Big-Data environments will require a different "programming language" to fully exploit the latent potential. In addition, the process of extending the environment to provide new analysis capabilities will likely be more involved than, say, compiling a piece of new or revised code.We thus anticipate that researchers will require support from dedicated organizations associated with the environment that are composed of professional software engineers and data scientists. A major benefit will likely be that such extensions are of higherquality and broader applicability than ad hoc changes by physical scientists. Another anticipated significant change is improved collaboration among the researchers using the same environment. Since the environment is homogeneous within itself, many barriers to collaboration are minimized or eliminated. For example, data and analysis algorithms can be seamlessly shared, reused and re-purposed. In conclusion, we will be able to achieve a new level of scientific productivity in the Big-Data analysis environments.

Isotopic Survey of Lake Davis and the Local Groundwater

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

Ridley, M N; Moran, J E; Singleton, M J

2007-08-21

In September 2007, California Fish and Game (CAFG) plans to eradicate the northern pike from Lake Davis. As a result of the eradication treatment, local residents have concerns that the treatment might impact the local groundwater quality. To address the concerns of the residents, Lawrence Livermore National Laboratory (LLNL) recommended measuring the naturally occurring stable oxygen isotopes in local groundwater wells, Lake Davis, and the Lake Davis tributaries. The purpose of these measurements is to determine if the source of the local groundwater is either rain/snowmelt, Lake Davis/Big Grizzly Creek water or a mixture of Lake Davis/Big Grizzly Creek andmore » rain/snowmelt. As a result of natural evaporation, Lake Davis and the water flowing into Big Grizzly Creek are naturally enriched in {sup 18}oxygen ({sup 18}O), and if a source of a well's water is Lake Davis or Big Grizzly Creek, the well water will contain a much higher concentration of {sup 18}O. This survey will allow for the identification of groundwater wells whose water source is Lake Davis or Big Grizzly Creek. The results of this survey will be useful in the development of a water-quality monitoring program for the upcoming Lake Davis treatment. LLNL analyzed 167 groundwater wells (Table 1), 12 monthly samples from Lake Davis (Table 2), 3 samples from Lake Davis tributaries (Table 2), and 8 Big Grizzly Creek samples (Table 2). Of the 167 groundwater wells sampled and analyzed, only 2 wells contained a significant component of evaporated water, with an isotope composition similar to Lake Davis water. The other 163 groundwater wells have isotope compositions which indicate that their water source is rain/snowmelt.« less

Interventions for treating osteoarthritis of the big toe joint.

PubMed

Zammit, Gerard V; Menz, Hylton B; Munteanu, Shannon E; Landorf, Karl B; Gilheany, Mark F

2010-09-08

Osteoarthritis affecting of the big toe joint of the foot (hallux limitus or rigidus) is a common and painful condition. Although several treatments have been proposed, few have been adequately evaluated. To identify controlled trials evaluating interventions for osteoarthritis of the big toe joint and to determine the optimum intervention(s). Literature searches were conducted across the following electronic databases: CENTRAL; MEDLINE; EMBASE; CINAHL; and PEDro (to 14th January 2010). No language restrictions were applied. Randomised controlled trials, quasi-randomised trials, or controlled clinical trials that assessed treatment outcomes for osteoarthritis of the big toe joint. Participants of any age or gender with osteoarthritis of the big toe joint (defined either radiographically or clinically) were included. Two authors examined the list of titles and abstracts identified by the literature searches. One content area expert and one methodologist independently applied the pre-determined inclusion and exclusion criteria to the full text of identified trials. To minimise error and reduce potential bias, data were extracted independently by two content experts. Only one trial satisfactorily fulfilled the inclusion criteria and was included in this review. This trial evaluated the effectiveness of two physical therapy programs in 20 individuals with osteoarthritis of the big toe joint. Assessment outcomes included pain levels, big toe joint range of motion and plantar flexion strength of the hallux. Mean differences at four weeks follow up were 3.80 points (95% CI 2.74 to 4.86) for self reported pain, 28.30 degrees (95% CI 21.37 to 35.23) for big toe joint range of motion, and 2.80 kg (95% CI 2.13 to 3.47) for muscle strength. Although differences in outcomes between treatment and control groups were reported, the risk of bias was high. The trial failed to employ appropriate randomisation or adequate allocation concealment, used a relatively small sample and incorporated a short follow up (four weeks). No adverse reactions were reported. The reviewed trial presented a high risk of bias, which limited conclusions that could be drawn from the presented data. The inclusion of only one trial indicates the need for more robust randomised controlled trials to determine the efficacy of interventions for this condition.

A Smile as Big as the Moon

NASA Image and Video Library

2014-10-15

NASA Kennedy Space Center Director Bob Cabana, left, presents a special plaque to Michael Kersjes, author and former special education teacher and football coach from Michigan, after his presentation to workers during the Disability Awareness and Action Working Group, or DAAWG, event. The theme of Kersjes' presentation was "Power of the Human Spirit." Kersjes is the author of the book, "A Smile as Big as the Moon," which told the true story of how he worked to get special education students into Space Camp, a competitive education program at the U.S. Space and Rocket Center in Huntsville, Alabama. His book was made into a movie in 2012.

Big Memory Elegance: HyperCard Information Processing and Desktop Publishing.

ERIC Educational Resources Information Center

Bitter, Gary G.; Gerson, Charles W., Jr.

1991-01-01

Discusses hardware requirements, functions, and applications of five information processing and desktop publishing software packages for the Macintosh: HyperCard, PageMaker, Cricket Presents, Power Point, and Adobe illustrator. Benefits of these programs for schools are considered. (MES)

The Big Green Schoolhouse.

ERIC Educational Resources Information Center

Stetson, Emily

1991-01-01

Thanks to two enterprising teachers, a basement greenhouse has energized an inner-city elementary school in Brooklyn, New York. Though the basement jungle is the most visible part of the science program, students tend outdoor plants and integrate horticulture into all curriculum areas. (MLH)

A Guided Inquiry on Hubble Plots and the Big Bang

NASA Astrophysics Data System (ADS)

Forringer, Ted

2014-04-01

In our science for non-science majors course "21st Century Physics," we investigate modern "Hubble plots" (plots of velocity versus distance for deep space objects) in order to discuss the Big Bang, dark matter, and dark energy. There are two potential challenges that our students face when encountering these topics for the first time. The first challenge is in understanding and interpreting Hubble plots. The second is that some of our students have religious or cultural objections to the concept of a "Big Bang" or a universe that is billions of years old. This paper presents a guided inquiry exercise that was created with the goal of introducing students to Hubble plots and giving them the opportunity to discover for themselves why we believe our universe started with an explosion billions of years ago. The exercise is designed to be completed before the topics are discussed in the classroom. We did the exercise during a one hour and 45 minute "lab" time and it was done in groups of three or four students, but it would also work as an individual take-home assignment.

Relationships of personality factors to perceived stress, depression, and oral lichen planus severity.

PubMed

Mohamadi Hasel, Kurosh; Besharat, Mohamad Ali; Abdolhoseini, Amir; Alaei Nasab, Somaye; Niknam, Seyran

2013-06-01

  The objective of this study is to examine relationships of hardiness and big five personality factors to depression, perceived stress, and oral lichen planus (OLP) severity. Sixty Iranian patients with oral lichen planus completed measures of perceived stress, hardiness, big five, and depression. Linear regressions revealed that control and challenge significantly predicted least perceived stress. On the contrary, big five factor of neuroticism predicted more perceived stress. Furthermore, control, commitment, and extraversion negatively predicted depression levels, but neuroticism positively predicted depression levels. Additionally, more levels of the challenge factor predicted fewer OLP scores while more levels of perceived stress predicted more OLP scores. The components of control challenge and neuroticism factors had a significant role in predicting perceived stress. On the other hand, the components of control and commitment and extraversion factors had a prominent role in predicting depression in patients with OLP, so personality constructs may have an effective role in triggering experience of stress, depression, and OLP itself. Additionally, interventions that enhance individual protective factors may be beneficial in reducing stress and depression in some severe diseases.

[Traditional Chinese Medicine data management policy in big data environment].

PubMed

Liang, Yang; Ding, Chang-Song; Huang, Xin-di; Deng, Le

2018-02-01

As traditional data management model cannot effectively manage the massive data in traditional Chinese medicine(TCM) due to the uncertainty of data object attributes as well as the diversity and abstraction of data representation, a management strategy for TCM data based on big data technology is proposed. Based on true characteristics of TCM data, this strategy could solve the problems of the uncertainty of data object attributes in TCM information and the non-uniformity of the data representation by using modeless properties of stored objects in big data technology. Hybrid indexing mode was also used to solve the conflicts brought by different storage modes in indexing process, with powerful capabilities in query processing of massive data through efficient parallel MapReduce process. The theoretical analysis provided the management framework and its key technology, while its performance was tested on Hadoop by using several common traditional Chinese medicines and prescriptions from practical TCM data source. Result showed that this strategy can effectively solve the storage problem of TCM information, with good performance in query efficiency, completeness and robustness. Copyright© by the Chinese Pharmaceutical Association.

The caCORE Software Development Kit: streamlining construction of interoperable biomedical information services.

PubMed

Phillips, Joshua; Chilukuri, Ram; Fragoso, Gilberto; Warzel, Denise; Covitz, Peter A

2006-01-06

Robust, programmatically accessible biomedical information services that syntactically and semantically interoperate with other resources are challenging to construct. Such systems require the adoption of common information models, data representations and terminology standards as well as documented application programming interfaces (APIs). The National Cancer Institute (NCI) developed the cancer common ontologic representation environment (caCORE) to provide the infrastructure necessary to achieve interoperability across the systems it develops or sponsors. The caCORE Software Development Kit (SDK) was designed to provide developers both within and outside the NCI with the tools needed to construct such interoperable software systems. The caCORE SDK requires a Unified Modeling Language (UML) tool to begin the development workflow with the construction of a domain information model in the form of a UML Class Diagram. Models are annotated with concepts and definitions from a description logic terminology source using the Semantic Connector component. The annotated model is registered in the Cancer Data Standards Repository (caDSR) using the UML Loader component. System software is automatically generated using the Codegen component, which produces middleware that runs on an application server. The caCORE SDK was initially tested and validated using a seven-class UML model, and has been used to generate the caCORE production system, which includes models with dozens of classes. The deployed system supports access through object-oriented APIs with consistent syntax for retrieval of any type of data object across all classes in the original UML model. The caCORE SDK is currently being used by several development teams, including by participants in the cancer biomedical informatics grid (caBIG) program, to create compatible data services. caBIG compatibility standards are based upon caCORE resources, and thus the caCORE SDK has emerged as a key enabling technology for caBIG. The caCORE SDK substantially lowers the barrier to implementing systems that are syntactically and semantically interoperable by providing workflow and automation tools that standardize and expedite modeling, development, and deployment. It has gained acceptance among developers in the caBIG program, and is expected to provide a common mechanism for creating data service nodes on the data grid that is under development.

The Big-Fish-Little-Pond Effect for Academic Self-Concept, Test Anxiety, and School Grades in Gifted Children.

PubMed

Zeidner; Schleyer

1999-10-01

This study reports data extending work by Marsh and colleagues on the "big-fish-little-pond effect" (BFLPE). The BFLPE hypothesizes that it is better for academic self-concept to be a big fish in a little pond (gifted student in regular reference group) than to be a small fish in a big pond (gifted student in gifted reference group). The BFLPE effect was examined with respect to academic self-concept, test anxiety, and school grades in a sample of 1020 gifted Israeli children participating in two different educational programs: (a) special homogeneous classes for the gifted and (b) regular mixed-ability classes. The central hypothesis, deduced from social comparison and reference group theory, was that academically talented students enrolled in special gifted classes will perceive their academic ability and chances for academic success less favorably compared to students in regular mixed-ability classes. These negative self-perceptions, in turn, will serve to deflate students' academic self-concept, elevate their levels of evaluative anxiety, and result in depressed school grades. A path-analytic model linking reference group, academic self-concept, evaluative anxiety, and school performance, was employed to test this conceptualization. Overall, the data lend additional support to reference group theory, with the big-fish-little-pond effect supported for all three variables tested. In addition, academic self-concept and test anxiety were observed to mediate the effects of reference group on school grades. Copyright 1999 Academic Press.

What have we learned in minimally invasive colorectal surgery from NSQIP and NIS large databases? A systematic review.

PubMed

Batista Rodríguez, Gabriela; Balla, Andrea; Corradetti, Santiago; Martinez, Carmen; Hernández, Pilar; Bollo, Jesús; Targarona, Eduard M

2018-06-01

"Big data" refers to large amount of dataset. Those large databases are useful in many areas, including healthcare. The American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) and the National Inpatient Sample (NIS) are big databases that were developed in the USA in order to record surgical outcomes. The aim of the present systematic review is to evaluate the type and clinical impact of the information retrieved through NISQP and NIS big database articles focused on laparoscopic colorectal surgery. A systematic review was conducted using The Meta-Analysis Of Observational Studies in Epidemiology (MOOSE) guidelines. The research was carried out on PubMed database and revealed 350 published papers. Outcomes of articles in which laparoscopic colorectal surgery was the primary aim were analyzed. Fifty-five studies, published between 2007 and February 2017, were included. Articles included were categorized in groups according to the main topic as: outcomes related to surgical technique comparisons, morbidity and perioperatory results, specific disease-related outcomes, sociodemographic disparities, and academic training impact. NSQIP and NIS databases are just the tip of the iceberg for the potential application of Big Data technology and analysis in MIS. Information obtained through big data is useful and could be considered as external validation in those situations where a significant evidence-based medicine exists; also, those databases establish benchmarks to measure the quality of patient care. Data retrieved helps to inform decision-making and improve healthcare delivery.

The JFK BIG study: the impact of LSVT BIG® on dual task walking and mobility in persons with Parkinson's disease.

PubMed

Isaacson, Sara; O'Brien, Ashley; Lazaro, Jennifer D; Ray, Arlen; Fluet, Gerard

2018-04-01

[Purpose] The aim of this study was to test the hypothesis that Lee Silverman Voice Treatment-BIG decreases the negative impact of hypokinesia on dual task performance in persons with Parkinson's disease. [Subjects and Methods] The records of 114 patients with Parkinson's admitted to outpatient rehabilitation at a suburban hospital were reviewed. Demographics and data for 8 outcome measures were extracted for subjects that completed 14 of 16 sessions of BIG. 93 of these subjects had records of pre and post-test Timed Up and Go, Timed Up and Go Motor, and Timed Up and Go Cognitive scores. Average age was 68.4 years (SD=10.6) and average disease duration was 4.9 years (SD=5.3). [Results] Subjects demonstrated statistically significant improvements for Timed Up and Go (3.3 SD=4.5), Timed Up and Go Motor (4.4 SD=5.8) and Timed Up and Go Cognitive (4.7 SD=5.4). Concurrent motor and cognitive performance remained stable. Dual task cost decreased at a statistically significant level for Timed Up and Go Cognitive (7% SD=31%) but not Motor (4% SD=32%). [Conclusion] These findings suggest that cueing strategies associated with LSVT BIG become internalized and decrease the negative impact of hypokinesia on mobility and cognitive performance while performing two tasks simultaneously in persons with Parkinson's.

Report Concerning the Activities Involved in the Development of a Rural Regional Skill Center Reported to the Grantor Partnership Development Fund of the Sears-Roebuck Foundation.

ERIC Educational Resources Information Center

Powell, Roger B.; Kelly, Michael G.

The Regional Skills Program at Big Bend Community College (BBCC) was developed to offer vocational skills training to high school students within BBCC's 5,000 square miles district. The objectives of the program were to identify training needs and priorities, determine the availability of transportation to BBCC, survey college and district…

We Interrupt This Program: Media Theorist Douglas Rushkoff Has Second Thoughts about Our Digital Practices

ERIC Educational Resources Information Center

Rushkoff, Douglas

2011-01-01

When asked what Facebook is for, kids will say that it's there to help them make friends. The kids the author celebrated in his early books as "digital natives," capable of seeing through all efforts of big media and marketing, have actually proven less able to discern the integrity of the sources they read and the intentions of the programs they…

77 FR 65416 - Advisory Committee on the Electronic Records Archives (ACERA)

Federal Register 2010, 2011, 2012, 2013, 2014

2012-10-26

... Minutes ERA Program Update Business Priorities Presidential Directive on Records Management Online Public Access Discussions: Encouraging development of automated tools for electronic records management, impact of big data, and benchmarking Dated: October 24, 2012. Patrice Little Murray, Acting Committee...

The next Big Five Inventory (BFI-2): Developing and assessing a hierarchical model with 15 facets to enhance bandwidth, fidelity, and predictive power.

PubMed

Soto, Christopher J; John, Oliver P

2017-07-01

[Correction Notice: An Erratum for this article was reported in Vol 113(1) of Journal of Personality and Social Psychology (see record 2017-26058-001).In the article, all citations to McCrae and Costa (2008), except for the instance in which it appears in the first paragraph of the introduction, should instead appear as McCrae and Costa (2010). The complete citation should read as follows: McCrae, R. R., & Costa, P. T. (2010). NEO Inventories professional manual. Lutz, FL: Psychological Assessment Resources. The attribution to the BFI-2 items that appears in the Table 6 note should read as follows: BFI-2 items adapted from "Conceptualization, Development, and Initial Validation of the Big Five Inventory-2," by C. J. Soto and O. P. John, 2015, Paper presented at the biennial meeting of the Association for Research in Personality. Copyright 2015 by Oliver P. John and Christopher J. Soto. The complete citation in the References list should appear as follows: Soto, C. J., & John, O. P. (2015, June). Conceptualization, development, and initial validation of the Big Five Inventory-2. Paper presented at the biennial meeting of the Association for Research in Personality, St. Louis, MO. Available from http://www.colby.edu/psych/personality-lab/ All versions of this article have been corrected. All versions of this article have been corrected.] Three studies were conducted to develop and validate the Big Five Inventory-2 (BFI-2), a major revision of the Big Five Inventory (BFI). Study 1 specified a hierarchical model of personality structure with 15 facet traits nested within the Big Five domains, and developed a preliminary item pool to measure this structure. Study 2 used conceptual and empirical criteria to construct the BFI-2 domain and facet scales from the preliminary item pool. Study 3 used data from 2 validation samples to evaluate the BFI-2's measurement properties and substantive relations with self-reported and peer-reported criteria. The results of these studies indicate that the BFI-2 is a reliable and valid personality measure, and an important advance over the original BFI. Specifically, the BFI-2 introduces a robust hierarchical structure, controls for individual differences in acquiescent responding, and provides greater bandwidth, fidelity, and predictive power than the original BFI, while still retaining the original measure's conceptual focus, brevity, and ease of understanding. The BFI-2 therefore offers valuable new opportunities for research examining the structure, assessment, development, and life outcomes of personality traits. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

Big Data Science Cafés: High School Students Experiencing Real Research with Scientists

NASA Astrophysics Data System (ADS)

Walker, C. E.; Pompea, S. M.

2017-12-01

The Education and Public Outreach group at the National Optical Astronomy Observatory has designed an outside-of-school education program to excite the interest of talented youth in future projects like the Large Synoptic Survey Telescope (LSST) and the NOAO (archival) Data Lab - their data approaches and key science projects. Originally funded by the LSST Corporation, the program cultivates talented youth to enter STEM disciplines and serves as a model to disseminate to the 40+ institutions involved in LSST. One Saturday a month during the academic year, high school students have the opportunity to interact with expert astronomers who work with large astronomical data sets in their scientific work. Students learn about killer asteroids, the birth and death of stars, colliding galaxies, the structure of the universe, gravitational waves, dark energy, dark matter, and more. The format for the Saturday science cafés has been a short presentation, discussion (plus food), computer lab activity and more discussion. They last about 2.5 hours and have been planned by a group of interested local high school students, an undergraduate student coordinator, the presenting astronomers, the program director and an evaluator. High school youth leaders help ensure an enjoyable and successful program for fellow students. They help their fellow students with the activities and help evaluate how well the science café went. Their remarks shape the next science café and improve the program. The experience offers youth leaders ownership of the program, opportunities to take on responsibilities and learn leadership and communication skills, as well as foster their continued interests in STEM. The prototype Big Data Science Academy was implemented successfully in the Spring 2017 and engaged almost 40 teens from greater Tucson in the fundamentals of astronomy concepts and research. As with any first implementation there were bumps. However, staff, scientists, and student leaders all stepped up to make the program a success. The project achieved many of its goals with a relatively small budget, providing value not only to the student leaders and student attendees, but to the scientists and staff as well. Staff learned what worked and what needed more fine-tuning to successfully launch and run a big data academy for teens in the years that follow.

International Nursing: Research on the Correlation Between Empathy and China's Big Five Personality Theory: Implications for Nursing Leaders.

PubMed

Wang, Cong; Wu, Qin; Feng, Mei; Wan, Qunfang; Wu, Xiaoling

To investigate the characteristics of nurses' empathy and explore the correlation between nurses' empathy and personality, a cross-sectional study with 250 nurses from a general hospital in China was conducted using the Chinese Big Five Personality Inventory (CBF-PI) and the Jefferson Scale of Empathy-Health Professionals (JSE-HP). The total score of the JSE-HP was 110.60 (SD = 11.71). Employment forms and child-rearing situations were the significant predictors of the JSE-HP score. Multiple hierarchical regression analysis indicated that the JSE-HP score was positively correlated with conscientiousness and agreeableness and the contribution of CBF-PI to JSE-HP scale variances was 15.1%. The results demonstrated that nurses' empathy is on the high level. The Big Five Personality model is a significant predictor of nurses' empathy. The findings of the study provide reference for nurses' humanistic care training and education. In addition, training programs emphasizing emotions, psychology, humanistic quality, and healthy personality should be strengthened to promote nurses' empathy.

Leveraging the big-data revolution: CMS is expanding capabilities to spur health system transformation.

PubMed

Brennan, Niall; Oelschlaeger, Allison; Cox, Christine; Tavenner, Marilyn

2014-07-01

As the largest single payer for health care in the United States, the Centers for Medicare and Medicaid Services (CMS) generates enormous amounts of data. Historically, CMS has faced technological challenges in storing, analyzing, and disseminating this information because of its volume and privacy concerns. However, rapid progress in the fields of data architecture, storage, and analysis--the big-data revolution--over the past several years has given CMS the capabilities to use data in new and innovative ways. We describe the different types of CMS data being used both internally and externally, and we highlight a selection of innovative ways in which big-data techniques are being used to generate actionable information from CMS data more effectively. These include the use of real-time analytics for program monitoring and detecting fraud and abuse and the increased provision of data to providers, researchers, beneficiaries, and other stakeholders. Project HOPE—The People-to-People Health Foundation, Inc.

Practices of and Roadblocks to Teacher Leadership in the United Arab Emirates' Schools

ERIC Educational Resources Information Center

Al-Taneiji, Shaikah; Ibrahim, Ali

2017-01-01

This study investigates teachers' perceptions of their leadership practices in United Arab Emirates schools and the contextual and personal factors which support or deter them from becoming teacher leaders. The study used a mixed research design. First, a self-administered questionnaire was completed by 937 teachers in one big city in the UAE.…

A Study on CPH and Debate Summary in FLL

ERIC Educational Resources Information Center

Liu, Zhiliang

2009-01-01

The optimal age in FLL (foreign language learning) for children has been discussed over 50 years but there is no satisfactory conclusion for us. However, the notion "the younger, the better" in FLL has a big market in the world. As a result, the distorted hypothesis is being spread widely as a true and complete theory. Specifically…

Problem Based Instruction: Getting at the Big Ideas and Developing Learners

ERIC Educational Resources Information Center

Inglis, Laura; Miller, Nicole

2011-01-01

Written collaboratively by two former teaching partners, this paper details the journey taken by a team of teachers from a large southern Ontario school board as they completed an action research project during the 2008-2009 school year, in conjunction with ETFO and their Teachers Learning Together: A Math Journey initiative. This paper will…

76 FR 80398 - Notice of Inventory Completion: Minnesota Indian Affairs Council, Bemidji, MN

Federal Register 2010, 2011, 2012, 2013, 2014

2011-12-23

.... The human remains were purportedly reburied, except for the skull fragments, which were donated to the owner of a local bar. After the death of the bar owner, the reconstructed skull was reburied near Big Pine Lake. In 2009, the same skull was recovered during power line construction on residential property...

A digital-computer model of the Big Sioux aquifer in Minnehaha County, South Dakota

USGS Publications Warehouse

Koch, N.C.

1982-01-01

A finite-difference digital model was used to simulate steady-state conditions of the Big Sioux aquifer in Minnehaha County. Average water levels and average base flow discharge (4.9 cu ft/s) of the Big Sioux River were based on data from 1970 through 1979. The computer model was calibrated for transient conditions by simulating monthly historic conditions for 1976. During 1976, pumpage was offset mostly by surface-water recharge to the aquifer from January through June and ground-water discharge from storage from July through December. Measured drawdowns during 1976 generally were less than 2 feet except in the Sioux Falls city well field where drawdowns were as much as 15 feet. The model was used to study the effects of increased withdrawals under three hypothetical hydrologic situations. One hypothetical situation consisted of using 1976 pumping rates, recharge, and evapotranspiration but the Big Sioux River dry. The pumping rate after 16 months was decreased by 40 percent from the actual pumping rate for that month in order to complete the monthly simulation without the storage being depleted at a nodal area. The second hypothetical situation consisted of a pumpage rate of 44.4 cubic feet per second from 60 wells spaced throughout the aquifer under historic 1976 hydrologic conditions. The results were that the aquifer could supply the additional withdrawal. The third hypothetical situation used the same hydrologic conditions as the second except that recharge was zero and the Big Sioux River was dry downstream from row 54. After 18 monthly simulations, the pumping rate was decreased by 44 percent to prevent pumping wells from depleting the aquifer, and, at that rate, 63 percent of the water being pumped was being replaced by water from the river. (USGS)

Diamond knife-assisted deep anterior lamellar keratoplasty to manage keratoconus.

PubMed

Vajpayee, Rasik B; Maharana, Prafulla K; Sharma, Namrata; Agarwal, Tushar; Jhanji, Vishal

2014-02-01

To evaluate the outcomes of a new surgical technique, diamond knife-assisted deep anterior lamellar keratoplasty (DALK), and compare its visual and refractive results with big-bubble DALK in cases of keratoconus. Tertiary eyecare hospital. Comparative case series. The visual and surgical outcomes of diamond knife-assisted DALK were compared with those of successful big-bubble DALK. Diamond knife-assisted DALK was performed in 19 eyes and big-bubble DALK, in 11 eyes. All surgeries were completed successfully. No intraoperative or postoperative complications occurred with diamond knife-assisted DALK. Six months after diamond knife-assisted DALK, the mean corrected distance visual acuity (CDVA) improved significantly from 1.87 logMAR ± 0.22 (SD) to 0.23 ± 0.06 logMAR, the mean keratometry improved from 65.99 ± 8.86 diopters (D) to 45.13 ± 1.16 D, and the mean keratometric cylinder improved from 7.99 ± 3.81 D to 2.87 ± 0.59 D (all P=.005). Postoperatively, the mean refractive astigmatism was 2.55 ± 0.49 D and the mean spherical equivalent was -1.97 ± 0.56 D. The mean logMAR CDVA (P = .06), postoperative keratometry (P=.64), refractive cylinder (P=.63), and endothelial cell loss (P=.11) were comparable between diamond knife-assisted DALK and big-bubble DALK. Diamond knife-assisted DALK was effective and predictable as a surgical technique for management of keratoconus cases. This technique has the potential to offer visual and refractive outcomes comparable to those of big-bubble DALK. No author has a financial or proprietary interest in any material or method mentioned. Copyright © 2013 ASCRS and ESCRS. Published by Elsevier Inc. All rights reserved.

Psychological and social factors affecting Internet searches on suicide in Korea: a big data analysis of Google search trends.

PubMed

Song, Tae Min; Song, Juyoung; An, Ji-Young; Hayman, Laura L; Woo, Jong-Min

2014-01-01

The average mortality rate for death by suicide among OECD countries is 12.8 per 100000, and 33.5 for Korea. The present study analyzed big data extracted from Google to identify factors related to searches on suicide in Korea. Google search trends for the search words of suicide, stress, exercise, and drinking were obtained for 2004-2010. Analyzing data by month, the relationship between the actual number of suicides and search words per year was examined using multi-level models. Both suicide rates and Google searches on suicide in Korea increased since 2007. An unconditional slope model indicated stress and suicide-related searches were positively related. A conditional model showed that factors associated with suicide by year directly affected suicide-related searches. The interaction between stress-related searches and the actual number of suicides was significant. A positive relationship between stress- and suicide-related searches further confirmed that stress affects suicide. Taken together and viewed in context of the big data analysis, our results point to the need for a tailored prevention program. Real-time big data can be of use in indicating increases in suicidality when search words such as stress and suicide generate greater numbers of hits on portals and social network sites.

Teaching with Big Data: Report from the 2016 Society for Neuroscience Teaching Workshop

PubMed Central

Grisham, William; Brumberg, Joshua C.; Gilbert, Terri; Lanyon, Linda; Williams, Robert W.; Olivo, Richard

2017-01-01

As part of a series of workshops on teaching neuroscience at the Society for Neuroscience annual meetings, William Grisham and Richard Olivo organized the 2016 workshop on “Teaching Neuroscience with Big Data.” This article presents a summary of that workshop. Speakers provided overviews of open datasets that could be used in teaching undergraduate courses. These included resources that already appear in educational settings, including the Allen Brain Atlas (presented by Joshua Brumberg and Terri Gilbert), and the Mouse Brain Library and GeneNetwork (presented by Robert Williams). Other resources, such as NeuroData (presented by William R. Gray Roncal), and OpenFMRI, NeuroVault, and Neurosynth (presented by Russell Poldrack) have not been broadly utilized by the neuroscience education community but offer obvious potential. Finally, William Grisham discussed the iNeuro Project, an NSF-sponsored effort to develop the necessary curriculum for preparing students to handle Big Data. Linda Lanyon further elaborated on the current state and challenges in educating students to deal with Big Data and described some training resources provided by the International Neuroinformatics Coordinating Facility. Neuroinformatics is a subfield of neuroscience that deals with data utilizing analytical tools and computational models. The feasibility of offering neuroinformatics programs at primarily undergraduate institutions was also discussed. PMID:29371844

Teaching with Big Data: Report from the 2016 Society for Neuroscience Teaching Workshop.

PubMed

Grisham, William; Brumberg, Joshua C; Gilbert, Terri; Lanyon, Linda; Williams, Robert W; Olivo, Richard

2017-01-01

As part of a series of workshops on teaching neuroscience at the Society for Neuroscience annual meetings, William Grisham and Richard Olivo organized the 2016 workshop on "Teaching Neuroscience with Big Data." This article presents a summary of that workshop. Speakers provided overviews of open datasets that could be used in teaching undergraduate courses. These included resources that already appear in educational settings, including the Allen Brain Atlas (presented by Joshua Brumberg and Terri Gilbert), and the Mouse Brain Library and GeneNetwork (presented by Robert Williams). Other resources, such as NeuroData (presented by William R. Gray Roncal), and OpenFMRI, NeuroVault, and Neurosynth (presented by Russell Poldrack) have not been broadly utilized by the neuroscience education community but offer obvious potential. Finally, William Grisham discussed the iNeuro Project, an NSF-sponsored effort to develop the necessary curriculum for preparing students to handle Big Data. Linda Lanyon further elaborated on the current state and challenges in educating students to deal with Big Data and described some training resources provided by the International Neuroinformatics Coordinating Facility. Neuroinformatics is a subfield of neuroscience that deals with data utilizing analytical tools and computational models. The feasibility of offering neuroinformatics programs at primarily undergraduate institutions was also discussed.

Spatial reasoning to determine stream network from LANDSAT imagery

NASA Technical Reports Server (NTRS)

Haralick, R. M.; Wang, S.; Elliott, D. B.

1983-01-01

In LANDSAT imagery, spectral and spatial information can be used to detect the drainage network as well as the relative elevation model in mountainous terrain. To do this, mixed information of material reflectance in the original LANDSAT imagery must be separated. From the material reflectance information, big visible rivers can be detected. From the topographic modulation information, ridges and valleys can be detected and assigned relative elevations. A complete elevation model can be generated by interpolating values for nonridge and non-valley pixels. The small streams not detectable from material reflectance information can be located in the valleys with flow direction known from the elevation model. Finally, the flow directions of big visible rivers can be inferred by solving a consistent labeling problem based on a set of spatial reasoning constraints.

Measuring adolescent science motivation

NASA Astrophysics Data System (ADS)

Schumm, Maximiliane F.; Bogner, Franz X.

2016-02-01

To monitor science motivation, 232 tenth graders of the college preparatory level ('Gymnasium') completed the Science Motivation Questionnaire II (SMQ-II). Additionally, personality data were collected using a 10-item version of the Big Five Inventory. A subsequent exploratory factor analysis based on the eigenvalue-greater-than-one criterion, extracted a loading pattern, which in principle, followed the SMQ-II frame. Two items were dropped due to inappropriate loadings. The remaining SMQ-II seems to provide a consistent scale matching the findings in literature. Nevertheless, also possible shortcomings of the scale are discussed. Data showed a higher perceived self-determination in girls which seems compensated by their lower self-efficacy beliefs leading to equality of females and males in overall science motivation scores. Additionally, the Big Five personality traits and science motivation components show little relationship.

T-SENSE a millimeter wave scanner for letters

NASA Astrophysics Data System (ADS)

Nüßler, Dirk; Heinen, Sven; Sprenger, Thorsten; Hübsch, Daniel; Würschmidt, Tobais

2013-10-01

Letter bombs are an increasing problem for public authorities, companies and public persons. Nowadays every big company uses in his headquarters inspection system to check the incoming correspondence. Generally x-ray systems are used to inspect complete baskets or bags of letters. This concept which works very fine in big company with a large postal center is not usable for small companies or private persons. For an office environment with a small number of letters x-ray systems are too expensive and oversized. X-ray systems visualize the wires and electric circuits inside the envelope. If a letter contains no metallic components but hazard materials or drugs, the dangerous content is invisible for the most low-cost x-ray systems. Millimeter wave imagining systems offer the potential to close this gap.

"Dinosaurs." Kindergarten. Anchorage School District Elementary Science Program.

ERIC Educational Resources Information Center

Herminghaus, Trisha, Ed.

This unit contains 15 lessons on dinosaurs for kindergarten children. It provides a materials list, supplementary materials list, use of process skill terminology, unit objectives, vocabulary, six major dinosaurs, and background information. Lessons are: (1) "Webbing"; (2) "Introduction to the Big Six"; (3) "Paleontology…

Contributions to These Practices from a Professional Program

ERIC Educational Resources Information Center

Kale, Ugur

2004-01-01

Teacher professional development is assumed to be enhanced through reflective, collective, collaborative professional communities (Little, 2003). Universities in these teacher community developments play a big role by providing teachers with pedagogical helps and professional developments. By not only encouraging teachers to go to conferences, do…

METHODOLOGY FOR EVALUATING THE EFFECTIVENESS OF NONPOINT SOURCE POLLUTION ABATEMENT PROGRAMS

EPA Science Inventory

The Upper Big Walnut Creek watershed encompasses 190 square miles of predominantly agricultural cropland (65%) in Central Ohio (USA) where agronomic fertilizers and herbicides are used in row crop production. Runoff from the watershed drain to Hoover Reservoir which is Central Oh...

But Seriously: Clowning in Children's Mental Health

ERIC Educational Resources Information Center

Henderson, Schuyler W.; Rosario, Katyna

2008-01-01

The article explores the insight into child and adolescent behavior offered by clowns. It reviews the Big Apple Circus Clown Care hospital clowning program and evaluates the role clowns could play in pediatric mental health inpatient work and their implications for the broader clinical setting.

50 CFR 86.115 - How should I administer the survey?

Code of Federal Regulations, 2010 CFR

2010-10-01

... (CONTINUED) FINANCIAL ASSISTANCE-WILDLIFE SPORT FISH RESTORATION PROGRAM BOATING INFRASTRUCTURE GRANT (BIG... to collect data, which may include telephone, mail, fax, or other inventory means. We do not expect you to use automated, electronic, mechanical, or similar means of information collection. (d) Data...

50 CFR 86.115 - How should I administer the survey?

Code of Federal Regulations, 2011 CFR

2011-10-01

... (CONTINUED) FINANCIAL ASSISTANCE-WILDLIFE SPORT FISH RESTORATION PROGRAM BOATING INFRASTRUCTURE GRANT (BIG... to collect data, which may include telephone, mail, fax, or other inventory means. We do not expect you to use automated, electronic, mechanical, or similar means of information collection. (d) Data...

3 CFR 8712 - Proclamation 8712 of September 15, 2011. National Hispanic Heritage Month, 2011

Code of Federal Regulations, 2012 CFR

2012-01-01

... recommit to ensuring our Nation remains a place big enough and bold enough to accommodate the dreams and... programs under this year’s theme, “Renewing the American Dream.” IN WITNESS WHEREOF, I have hereunto set my...

Early Grades Ideas.

ERIC Educational Resources Information Center

Classroom Computer Learning, 1984

1984-01-01

Presents six computer-oriented classroom activities. They include: surveying a house for products using microprocessors, writing a program to display a flag, experimenting with LOGO's graphics capabilities, writing stories on the computer, using FOR/NEXT commands to create a blinking object, and teaching the Milton Bradley Big Trak to play…

50 CFR 86.115 - How should I administer the survey?

Code of Federal Regulations, 2012 CFR

2012-10-01

... (CONTINUED) FINANCIAL ASSISTANCE-WILDLIFE SPORT FISH RESTORATION PROGRAM BOATING INFRASTRUCTURE GRANT (BIG... to collect data, which may include telephone, mail, fax, or other inventory means. We do not expect you to use automated, electronic, mechanical, or similar means of information collection. (d) Data...

Home on the Big River: Great River Habitat Quality Indices

EPA Science Inventory

EPA’s Environmental Monitoring and Assessment Program sampled the Upper Mississippi, Missouri and Ohio Rivers from 2004 through 2006 as part of an integrated assessment of ecological condition. We developed fish habitat indices by dividing the components of habitat into four ca...

Big Jobs: Planning for Competence

ERIC Educational Resources Information Center

Jones, Nancy P.

2005-01-01

Three- to five-year-olds grow emotionally participating in meaningful and challenging physical, social, and problem-solving activities outdoors in an early childhood program on a farm. Caring for animals, planting, raking, shoveling, and engaging in meaningful indoor activities, under adult supervision, children learn to work collaboratively,…

EVALUATING THE WATER QUALITY EFFECTIVENESS OF WATERSHED-SCALE SOURCE WATER PROTECTION PROGRAMS

EPA Science Inventory

The US EPA Office of Research and Development, the Ohio River Valley Water Sanitation Commission (ORSANCO) and the Upper Big Walnut Creek Quality Partnership created a collaborative team of eleven agencies and universities to develop a methodology for evaluating the effectiveness...

Engineering excellence in breakthrough biomedical technologies: bioengineering at the University of California, Riverside.

PubMed

Schultz, Jane S; Rodgers, V G J

2012-07-01

The Department of Bioengineering at the University of California, Riverside (UCR), was established in 2006 and is the youngest department in the Bourns College of Engineering. It is an interdisciplinary research engine that builds strength from highly recognized experts in biochemistry, biophysics, biology, and engineering, focusing on common critical themes. The range of faculty research interests is notable for its diversity, from the basic cell biology through cell function to the physiology of the whole organism, each directed at breakthroughs in biomedical devices for measurement and therapy. The department forges future leaders in bioengineering, mirroring the field in being energetic, interdisciplinary, and fast moving at the frontiers of biomedical discoveries. Our educational programs combine a solid foundation in bio logical sciences and engineering, diverse communication skills, and training in the most advanced quantitative bioengineering research. Bioengineering at UCR also includes the Bioengineering Interdepartmental Graduate (BIG) program. With its slogan Start-Grow-Be-BIG, it is already recognized for its many accomplishments, including being third in the nation in 2011 for bioengineering students receiving National Science Foundation graduate research fellowships as well as being one of the most ethnically inclusive programs in the nation.

Geriatrics in Brazil: a big country with big opportunities.

PubMed

Garcez-Leme, Luiz E; Leme, Mariana Deckers; Espino, David V

2005-11-01

Brazil has approximately 180 million inhabitants, of whom 15.2 million are aged 60 and older and 1.9 million are aged 80 and older. By 2025, the Brazilian elderly population is expected to grow to more than 32 million. Brazil has many problems related to its geographic and population size. Great distances between major cities, marked cultural and racial heterogeneity between the various geographic regions, high poverty levels, and decreasing family size all combine to put pressure on the medical and social services that can be made available to the elder population. Less than 500 Brazilian physicians are certified as geriatricians, translating into one geriatrician for every 37,000 elderly Brazilians. Beside 15 geriatric medicine residencies a larger number of fellowship programs exist, and these programs are in high demand, with more than 20 candidates per position, indicating new opportunities for growth in elder care. In addition, geriatric initiatives such as the annual elder vaccination program and the elder statute, recently approved by the Brazilian Congress, indicate that geriatric care in Brazil is entering a new era of growth and development. Although the challenges remain great, there are opportunities for Brazilian geriatrics and gerontology.

Future Enablers: Air Force Smart Weapons in the 2040s

DTIC Science & Technology

2013-04-01

it is designed to have the same explosive effect as a 2,000 pound warhead. 136 The penetration ability of warheads has improved as well. The GBU - 39 ...Accountability Office, Defense Acquisitions : Assessment of Selected Weapons Programs, 12. 26 US Government Accountability Office, Joint Strike... Acquisitions : Assessment of Selected Weapons Programs, 65. 29 Ibid. 30 Kathleen Miller, Tony Capaccio, and Danielle Ivory, “F-35 Fighter Too Big to Kill as

Program Manager Assessments: Professionalism Personified

DTIC Science & Technology

2015-08-01

dozens of legacy systems. A few years ago, the idea of modernizing this collection in a “ big bang ” approach was rejected in favor of a lower-risk and...chain of com- mand. The assessments are simul - taneously sent to me, the Service or Component acquisition executive, and the program executive officer...use of actual test results at sub-scale, com- ponent testing, modeling, simulation , and field testing were all described in fair detail. Key near

Kriging for Spatial-Temporal Data on the Bridges Supercomputer

NASA Astrophysics Data System (ADS)

Hodgess, E. M.

2017-12-01

Currently, kriging of spatial-temporal data is slow and limited to relatively small vector sizes. We have developed a method on the Bridges supercomputer, at the Pittsburgh supercomputer center, which uses a combination of the tools R, Fortran, the Message Passage Interface (MPI), OpenACC, and special R packages for big data. This combination of tools now permits us to complete tasks which could previously not be completed, or takes literally hours to complete. We ran simulation studies from a laptop against the supercomputer. We also look at "real world" data sets, such as the Irish wind data, and some weather data. We compare the timings. We note that the timings are suprising good.

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

Derrick, M.

These proceedings document a number of aspects of a big science facility and its impact on science, on technology, and on the continuing program of a major US research institution. The Zero Gradient Synchrotron (ZGS) was a 12.5 GeV weak focusing proton accelerator that operated at Argonne for fifteen years--from 1964 to 1979. It was a major user facility which led to new close links between the Laboratory and university groups: in the research program; in the choice of experiments to be carried out; in the design and construction of beams and detectors; and even in the Laboratory management. Formore » Argonne, it marked a major move from being a Laboratory dominated by nuclear reactor development to one with a stronger basic research orientation. The present meeting covered the progress in accelerator science, in the applications of technology pioneered or developed by people working at the ZGS, as well as in physics research and detector construction. At this time, when the future of the US research programs in science is being questioned as a result of the ending of the Cold War and plans to balance the Federal budget, the specific place of the National Laboratories in the spectrum of research activities is under particular examination. This Symposium highlights one case history of a major science program that was completed more than a decade ago--so that the further developments of both the science and the technology can be seen in some perspective. The subsequent activities of the people who had worked in the ZGS program as well as the redeployment of the ZGS facilities were addressed. Selected papers are indexed separately for inclusion in the Energy Science and Technology Database.« less

Comprehensive transportation asset management : making a business case and prioritizing assets for inclusion in formal asset management programs.

DOT National Transportation Integrated Search

2011-12-01

Several agencies are applying asset management principles as a business tool and paradigm to help them define goals and prioritize agency resources in decision making. Previously, transportation asset management (TAM) has focused more on big ticke...

Teaming to Teach the Information Problem-Solving Process.

ERIC Educational Resources Information Center

Sine, Lynn; Murphy, Becky

1992-01-01

Explains a problem-solving format developed by a school media specialist and first grade teacher that used the framework of Eisenberg and Berkowitz's "Big Six Skills" for library media programs. The application of the format to a science unit on the senses is described. (two references) (MES)

School Administration.

ERIC Educational Resources Information Center

Bete, Tim, Ed.

1998-01-01

Presents predictions from four administration experts on what the future holds for U.S. schools. Questions addressed concern the following: will schools ever include pre-K programs; will standardized testing disappear; will high schools adopt the flexible, independent study model; will K-12 education ever be run by big business, and will…

USING HISTORICAL BIOLOGICAL DATA TO EVALUATE STATUS AND TRENDS IN THE BIG DARBY CREEK WATERSHED (OHIO, USA)

EPA Science Inventory

Assessment of watershed ecological status and trends is challenging for managers who lack randomly or consistently sampled data, or monitoring programs developed from a watershed perspective. This study investigated analytical approaches for assessment of status and trends using ...

Summary of the Journal of Geoscience Education Urban Theme Issue (Published in November, 2004)

NASA Astrophysics Data System (ADS)

Abolins, M. J.

2004-12-01

The urban geoscience education theme issue includes twelve manuscripts describing efforts to make geoscience more inclusive. These efforts reflect two central beliefs: (1) that urban geoscience education more effectively serves urban residents (slightly more than 80% of the American population) and (2) that urban education encourages minority participation in the geosciences. These convictions spawned educational programs serving many different kinds of learners. Educators developed unique curricula to meet the needs of each audience, but most curricula incorporate content associated with the built environment. The following paragraphs summarize audience characteristics and curricular content. Audience Urban geoscience education served many different kinds of learners. Although most programs targeted an audience with a specific level of educational experience (e.g., elementary school students) at a specific location (e.g., Syracuse, NY), audience characteristics varied greatly from one program to another: (1) Participants included elementary, middle, and high school students, undergraduates (both majors and non-majors), K-12 teachers (both pre-service and in-service), graduate students, realtors, and community members. (2) At least three programs served populations with substantial numbers of African American, Hispanic, and Asian American students. (3) Audiences were drawn from every corner of the nation except the Pacific Northwest and Florida and resided in cities varying greatly in population. These cities included the nation's largest combined metropolitan area (New York City, NY-NJ-CT-PA), other metropolitan areas containing populations of over one million, and communities as small as Ithaca, NY (population: 96,501). As illustrated by the preceding examples, urban geoscience education served learners with different levels of educational experience, some programs focused on minority learners, and program participants lived in cities both big and small. Content Most urban geoscience curricula include content associated with the built environment. Some content is organized around themes that are unique to the largest cities, but much content is explicitly suburban. Examples follow: (1) A good example of a theme unique to the largest cities is the impact of geology on the construction of early Twentieth Century skyscrapers. (2) Much explicitly suburban material addresses human-environment interactions in urbanizing areas. The above examples show that curricula described in the theme issue include content relevant to both big city and suburban learners. Summary Although urban geoscience education programs serve many different kinds of learners, most curricula include content focusing on the built environment. Taken together, urban geoscience education programs utilized content relevant to both big city and suburban learners and served audiences with different levels of educational experience and various ethnic backgrounds.

Tracking "Learning Behaviours" in the Incidental Acquisition of Two Dimensional Adjectives by Japanese Beginner Learners of L2 English

ERIC Educational Resources Information Center

Shintani, Natsuko; Ellis, Rod

2014-01-01

The purpose of this article is to examine both the process and product of vocabulary learning in a task-based instructional context. The article reports a study that investigated the acquisition of two dimensional adjectives ("big" and "small") by six-year-old Japanese children who were complete beginners. It tracked the…