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...

50 CFR 86.134 - What if I am already carrying out a plan?

Code of Federal Regulations, 2010 CFR

2010-10-01

... 50 Wildlife and Fisheries 6 2010-10-01 2010-10-01 false What if I am already carrying out a plan? 86.134 Section 86.134 Wildlife and Fisheries UNITED STATES FISH AND WILDLIFE SERVICE, DEPARTMENT OF... INFRASTRUCTURE GRANT (BIG) PROGRAM How States Will Complete the State Program Plans § 86.134 What if I am already...

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 86.93 - 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 86.90 - 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...

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…

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...

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

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...

50 CFR 86.100 - What is the National Framework?

Code of Federal Regulations, 2013 CFR

2013-10-01

... (BIG) PROGRAM Service Completion of the National Framework § 86.100 What is the National Framework? The... your State. Through a State survey, you must conduct a boating access needs assessment or data...

50 CFR 86.81 - When are the reports due?

Code of Federal Regulations, 2014 CFR

2014-10-01

... (BIG) PROGRAM Reporting Requirements for the States § 86.81 When are the reports due? Reports are due... agreement; and (d) The State must report certified percentage of completion data and other significant...

50 CFR 86.81 - When are the reports due?

Code of Federal Regulations, 2013 CFR

2013-10-01

... (BIG) PROGRAM Reporting Requirements for the States § 86.81 When are the reports due? Reports are due... agreement; and (d) The State must report certified percentage of completion data and other significant...

50 CFR 86.100 - What is the National Framework?

Code of Federal Regulations, 2014 CFR

2014-10-01

... (BIG) PROGRAM Service Completion of the National Framework § 86.100 What is the National Framework? The... your State. Through a State survey, you must conduct a boating access needs assessment or data...

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...

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...

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...

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)

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...

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.

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...

50 CFR 86.110 - What does the State survey 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 State survey do? 86.110 Section 86.110 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...

50 CFR 86.81 - When are the reports due?

Code of Federal Regulations, 2010 CFR

2010-10-01

... (CONTINUED) FINANCIAL ASSISTANCE-WILDLIFE SPORT FISH RESTORATION PROGRAM BOATING INFRASTRUCTURE GRANT (BIG...) The State must report certified percentage of completion data and other significant developments in...

50 CFR 86.81 - When are the reports due?

Code of Federal Regulations, 2011 CFR

2011-10-01

... (CONTINUED) FINANCIAL ASSISTANCE-WILDLIFE SPORT FISH RESTORATION PROGRAM BOATING INFRASTRUCTURE GRANT (BIG...) The State must report certified percentage of completion data and other significant developments in...

50 CFR 86.81 - When are the reports due?

Code of Federal Regulations, 2012 CFR

2012-10-01

... (CONTINUED) FINANCIAL ASSISTANCE-WILDLIFE SPORT FISH RESTORATION PROGRAM BOATING INFRASTRUCTURE GRANT (BIG...) The State must report certified percentage of completion data and other significant developments in...

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 86.50 - 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...

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 86.82 - 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…

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.

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).

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…

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…

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.

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…

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 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…

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

Women Entrepreneurs: Their Success and Problems. Hearing before the Committee on Small Business, United States Senate, Ninety-Eighth Congress, Second Session (Eugene, Oregon).

ERIC Educational Resources Information Center

Congress of the U.S., Washington, DC. Senate Committee on Small Business.

This is a congressional hearing to acquire testimony and information about women in business or about unusual problems that have been found. Testimony includes statements from individuals representing Big Bear Shopper, Inc.; United States Business and Professional Women (BPW/USA); Rural Small Business Programs, Lane Community College;…

Arizona State's Origins Project Starts with a Big Bang

ERIC Educational Resources Information Center

Mangan, Katherine

2009-01-01

For 12 hours at Arizona State University, a sold-out crowd of 3,000 people gave a group of famous scientists a pop-star welcome, cheering their remarks and lining up for autographs after a day full of discussion about black holes, string theory, and evolutionary biology. At a time when program cuts and faculty layoffs dominate the headlines of…

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...

50 CFR 86.114 - Do I need to conduct a survey if I already have a plan for installing tie-up facilities?

Code of Federal Regulations, 2010 CFR

2010-10-01

... 50 Wildlife and Fisheries 6 2010-10-01 2010-10-01 false Do I need to conduct a survey if I already have a plan for installing tie-up facilities? 86.114 Section 86.114 Wildlife and Fisheries UNITED... SPORT FISH RESTORATION PROGRAM BOATING INFRASTRUCTURE GRANT (BIG) PROGRAM How States Will Complete...

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

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.

50 CFR 86.73 - What if I do not spend all the money?

Code of Federal Regulations, 2010 CFR

2010-10-01

... 50 Wildlife and Fisheries 6 2010-10-01 2010-10-01 false What if I do not spend all the money? 86.73 Section 86.73 Wildlife and Fisheries UNITED STATES FISH AND WILDLIFE SERVICE, DEPARTMENT OF THE... GRANT (BIG) PROGRAM How States Manage Grants § 86.73 What if I do not spend all the money? Funds not...

50 CFR 86.120 - What is the Comprehensive National Assessment?

Code of Federal Regulations, 2012 CFR

2012-10-01

... 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 86.120 - What is the Comprehensive National Assessment?

Code of Federal Regulations, 2011 CFR

2011-10-01

... 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 86.120 - 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...

EnviroAtlas - Big Game Hunting Recreation Demand by 12-Digit HUC in the Conterminous United States

EPA Pesticide Factsheets

This EnviroAtlas dataset includes the total number of recreational days per year demanded by people ages 18 and over for big game hunting by location in the contiguous United States. Big game includes deer, elk, bear, and wild turkey. These values are based on 2010 population distribution, 2011 U.S. Fish and Wildlife Service (FWS) Fish, Hunting, and Wildlife-Associated Recreation (FHWAR) survey data, and 2011 U.S. Department of Agriculture (USDA) Forest Service National Visitor Use Monitoring program data, and have been summarized by 12-digit hydrologic unit code (HUC). This dataset was produced by the US EPA to support research and online mapping activities related to the EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

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.

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…

50 CFR 86.43 - May someone else supply the match?

Code of Federal Regulations, 2010 CFR

2010-10-01

... 50 Wildlife and Fisheries 6 2010-10-01 2010-10-01 false May someone else supply the match? 86.43 Section 86.43 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...

50 CFR 86.133 - What are the plan standards?

Code of Federal Regulations, 2010 CFR

2010-10-01

... 50 Wildlife and Fisheries 6 2010-10-01 2010-10-01 false What are the plan standards? 86.133 Section 86.133 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...

50 CFR 86.14 - Who may apply for these grants?

Code of Federal Regulations, 2010 CFR

2010-10-01

... 50 Wildlife and Fisheries 6 2010-10-01 2010-10-01 false Who may apply for these grants? 86.14 Section 86.14 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...

50 CFR 86.44 - What are my allowable costs?

Code of Federal Regulations, 2010 CFR

2010-10-01

... 50 Wildlife and Fisheries 6 2010-10-01 2010-10-01 false What are my allowable costs? 86.44 Section 86.44 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...

50 CFR 86.82 - What must be in the reports?

Code of Federal Regulations, 2010 CFR

2010-10-01

... 50 Wildlife and Fisheries 6 2010-10-01 2010-10-01 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...

50 CFR 86.42 - What are the match requirements?

Code of Federal Regulations, 2010 CFR

2010-10-01

... 50 Wildlife and Fisheries 6 2010-10-01 2010-10-01 false What are the match requirements? 86.42 Section 86.42 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...

50 CFR 86.15 - How does the grant process work?

Code of Federal Regulations, 2010 CFR

2010-10-01

... 50 Wildlife and Fisheries 6 2010-10-01 2010-10-01 false How does the grant process work? 86.15 Section 86.15 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...

50 CFR 86.71 - How will I be reimbursed?

Code of Federal Regulations, 2010 CFR

2010-10-01

... 50 Wildlife and Fisheries 6 2010-10-01 2010-10-01 false How will I be reimbursed? 86.71 Section 86.71 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...

50 CFR 86.45 - When will I receive the funds?

Code of Federal Regulations, 2010 CFR

2010-10-01

... 50 Wildlife and Fisheries 6 2010-10-01 2010-10-01 false When will I receive the funds? 86.45 Section 86.45 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...

Student Loan Financing.

ERIC Educational Resources Information Center

Ginsberg, Edward; Ginsberg, Susan

1989-01-01

The Guaranteed Student Loan program is big business and risky for everyone except the lending institutions. Students who default on their loans now risk tougher penalties, and the federal government must foot the bill when students don't repay. The default problem varies by state and lending institution. Some California figures are provided. (MLH)

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.

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.

Gender Problems in Western Theatrical Dance: Little Girls, Big Sissies & the "Baryshnikov Complex"

ERIC Educational Resources Information Center

Risner, Doug

2014-01-01

General education programs, in postsecondary institutions, provide a broad base of learning in the liberal arts and sciences with common goals that prepare undergraduate students for living informed and satisfying lives. In the United States, dance units in public institutions, offering general education coursework for non-majors (dance…

The Recruiting Game: Toward a New System of Intercollegiate Sport. Second Edition, Revised.

ERIC Educational Resources Information Center

Rooney, John F., Jr.

Problems in recruitment for big-time collegiate sports are updated, and an eleven-point improvement program is proposed. Statistics on football and basketball recruitment are updated, many through the 1985 season. New focus is placed on "blue chip" recruiting, and maps of recruiting by selected institutions, conferences, and states are…

Obama Pushes Pre-K, Competitive Grants in Budget

ERIC Educational Resources Information Center

Klein, Alyson

2013-01-01

President Barack Obama's latest budget proposal envisions a sweeping, multi-billion-dollar expansion of prekindergarten programs and doubles down on the administration's strategy of using competitive grants to drive big change in states and districts--all as school districts try to cope with the largest cuts to federal education spending in recent…

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...

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…

Big five personality factors and suicide rates in the United States: a state-level analysis.

PubMed

Voracek, Martin

2009-08-01

Partly replicating findings from several cross-national studies (of Lester and of Voracek) on possible aggregate-level associations between personality and suicide prevalence, state-level analysis within the United States yielded significantly negative associations between the Big Five factor of Neuroticism and suicide rates. This effect was observed for historical as well as contemporary suicide rates of the total or the elderly population and was preserved with controls for the four other Big Five factors and measures of state wealth. Also conforming to cross-national findings, the Big Five factors of Agreeableness and Extraversion were negatively, albeit not reliably, associated with suicide rates.

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.

A Conversation with William A. Fowler Part II

NASA Astrophysics Data System (ADS)

Greenberg, John

2005-06-01

Physicist William A.Fowler initiated an experimental program in nuclear astrophysics after World War II. He recalls here the Steady State versus Big Bang controversy and his celebrated collaboration with Fred Hoyle and Geoffrey and Margaret Burbidge on nucleosynthesis in stars. He also comments on the shift away from nuclear physics in universities to large accelerators and national laboratories.

Who's Afraid of the Big Bad Box? Children and TV Advertising in Four Countries.

ERIC Educational Resources Information Center

Collins, Jude; And Others

1992-01-01

Describes a study of nine year olds in Ireland, Australia, the United States, and Norway that investigated their attitudes to television advertising and the connection to buying patterns in their families. Highlights include enjoyment of television ads, parallels between television programs and ads, and perceived influence of ads on parents.…

50 CFR 86.40 - How much money is available for grants?

Code of Federal Regulations, 2012 CFR

2012-10-01

... 50 Wildlife and Fisheries 9 2012-10-01 2012-10-01 false How much money is available for grants? 86.40 Section 86.40 Wildlife and Fisheries UNITED STATES FISH AND WILDLIFE SERVICE, DEPARTMENT OF THE... GRANT (BIG) PROGRAM Funding Availability § 86.40 How much money is available for grants? There is $32...

50 CFR 86.41 - How long will the money be available?

Code of Federal Regulations, 2013 CFR

2013-10-01

... 50 Wildlife and Fisheries 9 2013-10-01 2013-10-01 false How long will the money be available? 86.41 Section 86.41 Wildlife and Fisheries UNITED STATES FISH AND WILDLIFE SERVICE, DEPARTMENT OF THE... INFRASTRUCTURE GRANT (BIG) PROGRAM Funding Availability § 86.41 How long will the money be available? Under the...

50 CFR 86.41 - How long will the money be available?

Code of Federal Regulations, 2012 CFR

2012-10-01

... 50 Wildlife and Fisheries 9 2012-10-01 2012-10-01 false How long will the money be available? 86.41 Section 86.41 Wildlife and Fisheries UNITED STATES FISH AND WILDLIFE SERVICE, DEPARTMENT OF THE... GRANT (BIG) PROGRAM Funding Availability § 86.41 How long will the money be available? Under the Act...

50 CFR 86.41 - How long will the money be available?

Code of Federal Regulations, 2014 CFR

2014-10-01

... 50 Wildlife and Fisheries 9 2014-10-01 2014-10-01 false How long will the money be available? 86.41 Section 86.41 Wildlife and Fisheries UNITED STATES FISH AND WILDLIFE SERVICE, DEPARTMENT OF THE... INFRASTRUCTURE GRANT (BIG) PROGRAM Funding Availability § 86.41 How long will the money be available? Under the...

50 CFR 86.40 - How much money is available for grants?

Code of Federal Regulations, 2011 CFR

2011-10-01

... 50 Wildlife and Fisheries 8 2011-10-01 2011-10-01 false How much money is available for grants? 86.40 Section 86.40 Wildlife and Fisheries UNITED STATES FISH AND WILDLIFE SERVICE, DEPARTMENT OF THE... GRANT (BIG) PROGRAM Funding Availability § 86.40 How much money is available for grants? There is $32...

50 CFR 86.40 - How much money is available for grants?

Code of Federal Regulations, 2013 CFR

2013-10-01

... 50 Wildlife and Fisheries 9 2013-10-01 2013-10-01 false How much money is available for grants? 86.40 Section 86.40 Wildlife and Fisheries UNITED STATES FISH AND WILDLIFE SERVICE, DEPARTMENT OF THE... INFRASTRUCTURE GRANT (BIG) PROGRAM Funding Availability § 86.40 How much money is available for grants? There is...

50 CFR 86.41 - How long will the money be available?

Code of Federal Regulations, 2011 CFR

2011-10-01

... 50 Wildlife and Fisheries 8 2011-10-01 2011-10-01 false How long will the money be available? 86.41 Section 86.41 Wildlife and Fisheries UNITED STATES FISH AND WILDLIFE SERVICE, DEPARTMENT OF THE... GRANT (BIG) PROGRAM Funding Availability § 86.41 How long will the money be available? Under the Act...

50 CFR 86.40 - How much money is available for grants?

Code of Federal Regulations, 2014 CFR

2014-10-01

... 50 Wildlife and Fisheries 9 2014-10-01 2014-10-01 false How much money is available for grants? 86.40 Section 86.40 Wildlife and Fisheries UNITED STATES FISH AND WILDLIFE SERVICE, DEPARTMENT OF THE... INFRASTRUCTURE GRANT (BIG) PROGRAM Funding Availability § 86.40 How much money is available for grants? There is...

50 CFR 86.40 - How much money is available for grants?

Code of Federal Regulations, 2010 CFR

2010-10-01

... 50 Wildlife and Fisheries 6 2010-10-01 2010-10-01 false How much money is available for grants? 86.40 Section 86.40 Wildlife and Fisheries UNITED STATES FISH AND WILDLIFE SERVICE, DEPARTMENT OF THE... GRANT (BIG) PROGRAM Funding Availability § 86.40 How much money is available for grants? There is $32...

Using Self-Regulated Learning Methods to Increase Native American College Retention

ERIC Educational Resources Information Center

Patterson, David A.; Ahuna, Kelly H.; Tinnesz, Christine Gray; Vanzile-Tamsen, Carol

2014-01-01

A big challenge facing colleges and university programs across the United States is retaining students to graduation. This is especially the case for Native American students, who have had one of the highest dropout rates over the past several decades. Using data from a large university that implemented a self-regulated learning course for…

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.

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.

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.

50 CFR 86.62 - What must I do after my project has been selected?

Code of Federal Regulations, 2010 CFR

2010-10-01

... 50 Wildlife and Fisheries 6 2010-10-01 2010-10-01 false What must I do after my project has been selected? 86.62 Section 86.62 Wildlife and Fisheries UNITED STATES FISH AND WILDLIFE SERVICE, DEPARTMENT OF... INFRASTRUCTURE GRANT (BIG) PROGRAM How the Service Selects Projects To Receive Grants § 86.62 What must I do...

50 CFR 86.63 - May I appeal if my project is not selected?

Code of Federal Regulations, 2010 CFR

2010-10-01

... 50 Wildlife and Fisheries 6 2010-10-01 2010-10-01 false May I appeal if my project is not selected? 86.63 Section 86.63 Wildlife and Fisheries UNITED STATES FISH AND WILDLIFE SERVICE, DEPARTMENT OF THE... GRANT (BIG) PROGRAM How the Service Selects Projects To Receive Grants § 86.63 May I appeal if my...

50 CFR 86.74 - What if I need more money?

Code of Federal Regulations, 2014 CFR

2014-10-01

... 50 Wildlife and Fisheries 9 2014-10-01 2014-10-01 false What if I need more money? 86.74 Section... (BIG) PROGRAM How States Manage Grants § 86.74 What if I need more money? Funds for grants are available only on a competitive basis. Therefore, if you need more money, you must compete in the next grant...

50 CFR 86.74 - What if I need more money?

Code of Federal Regulations, 2013 CFR

2013-10-01

... 50 Wildlife and Fisheries 9 2013-10-01 2013-10-01 false What if I need more money? 86.74 Section... (BIG) PROGRAM How States Manage Grants § 86.74 What if I need more money? Funds for grants are available only on a competitive basis. Therefore, if you need more money, you must compete in the next grant...

The eastern states exposition: an exploration of Big E tourist expenditures

Treesearch

Robert S. Bristow; Heather Cantillon

2001-01-01

The purpose of this paper is to prepare a visitor economic expenditure study for the 1999 Eastern States Exposition, better known as the Big E. The study was executed as part of a class project in Recreation Geography offered the Fall 1999 semester at Westfield State College. The students undertook an economic expenditure study at the Big E by studying tourism...

Bigfoot Field Manual

NASA Astrophysics Data System (ADS)

Campbell, J. L.; Burrows, S.; Gower, S. T.; Cohen, W. B.

1999-09-01

The BigFoot Project is funded by the Earth Science Enterprise to collect and organize data to be used in the EOS Validation Program. The data collected by the BigFoot Project are unique in being ground-based observations coincident with satellite overpasses. In addition to collecting data, the BigFoot project will develop and test new algorithms for scaling point measurements to the same spatial scales as the EOS satellite products. This BigFoot Field Manual Mill be used to achieve completeness and consistency of data collected at four initial BigFoot sites and at future sites that may collect similar validation data. Therefore, validation datasets submitted to the ORNL DAAC that have been compiled in a manner consistent with the field manual will be especially valuable in the validation program.

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…

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.

1. View north from across State Highway 1 toward Inn. ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

1. View north from across State Highway 1 toward Inn. 'Big Sur Inn' Building (HABS-CA-2611-A) visible at left, 'Hayloft' Building (HABS-CA-2611-B at right center, and 'Antique' Building (HABS-CA-2611-C) and 'Champagne' Building (HABS-CA-2611-D) out of sight behind trees at right. - Deetjen's Big Sur Inn, East Side of State Highway 1, Big Sur, Monterey County, CA

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)…

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.

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.

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…

Preliminary survey of the mayflies (Ephemeroptera) and caddisflies (Trichoptera) of Big Bend Ranch State Park and Big Bend National Park

PubMed Central

Baumgardner, David E.; Bowles, David E.

2005-01-01

The mayfly (Insecta: Ephemeroptera) and caddisfly (Insecta: Trichoptera) fauna of Big Bend National Park and Big Bend Ranch State Park are reported based upon numerous records. For mayflies, sixteen species representing four families and twelve genera are reported. By comparison, thirty-five species of caddisflies were collected during this study representing seventeen genera and nine families. Although the Rio Grande supports the greatest diversity of mayflies (n=9) and caddisflies (n=14), numerous spring-fed creeks throughout the park also support a wide variety of species. A general lack of data on the distribution and abundance of invertebrates in Big Bend National and State Park is discussed, along with the importance of continuing this type of research. PMID:17119610

50 CFR 86.30 - Must I allow the public to use the grant-funded facilities?

Code of Federal Regulations, 2010 CFR

2010-10-01

... 50 Wildlife and Fisheries 6 2010-10-01 2010-10-01 false Must I allow the public to use the grant-funded facilities? 86.30 Section 86.30 Wildlife and Fisheries UNITED STATES FISH AND WILDLIFE SERVICE... INFRASTRUCTURE GRANT (BIG) PROGRAM Public Use of the Facility § 86.30 Must I allow the public to use the grant...

78 FR 30870 - Nomination of Existing Marine Protected Areas to the National System of Marine Protected Areas

Federal Register 2010, 2011, 2012, 2013, 2014

2013-05-23

... Reserve Big Flat State Marine Conservation Area Big River Estuary State Marine Conservation Area Bird Rock... Conservation Area Navarro River Estuary State Marine Conservation Area Painted Cave (Santa Cruz Island) State... Marine Conservation Area Ten Mile Estuary State Marine Conservation Area Ten Mile State Marine Reserve...

Attitudes toward jaguars and pumas and the acceptability of killing big cats in the Brazilian Atlantic Forest: An application of the Potential for Conflict Index2.

PubMed

Engel, Monica T; Vaske, Jerry J; Bath, Alistair J; Marchini, Silvio

2017-09-01

We explored the overall acceptability of killing jaguars and pumas in different scenarios of people-big cat interactions, the influence of attitudes toward big cats on acceptability, and the level of consensus on the responses. Data were obtained from 326 self-administered questionnaires in areas adjacent to Intervales State Park and Alto Ribeira State Park. Overall, people held slightly positive attitudes toward jaguars and pumas and viewed the killing of big cats as unacceptable. However, individuals that held negative attitudes were more accepting of killing. As the severity of people-big cat interactions increased, the level of consensus decreased. Knowing whether killing a big cat is acceptable or unacceptable in specific situations allows managers to anticipate conflict and avoid illegal killing of big cats.

Big game habitat use in southeastern Montana

Treesearch

James G. MacCracken; Daniel W. Uresk

1984-01-01

The loss of suitable, high quality habitat is a major problem facing big game managers in the western United States. Agricultural, water, road and highway, housing, and recreational development have contributed to loss of natural big game habitat (Wallmo et al. 1976, Reed 1981). In the western United States, surface mining of minerals has great potential to adversely...

77 FR 24845 - Approval and Promulgation of Implementation Plans; South Dakota; Regional Haze State...

Federal Register 2010, 2011, 2012, 2013, 2014

2012-04-26

... various pollution controls in its BART analysis for Big Stone I, its cost impact analysis is skewed in... took into account the State's consideration of environmental impacts when reviewing the Big Stone I SO... shutdown are part of normal operations at facilities like Big Stone, and because these emissions impact...

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

76 FR 1629 - Public Land Order No. 7757; Withdrawal of National Forest System Land for the Big Ice Cave; Montana

Federal Register 2010, 2011, 2012, 2013, 2014

2011-01-11

... United States Forest Service to protect the Big Ice Cave, its subterranean water supply, and Federal... to protect the Big Ice Cave, its subterranean water supply, and Federal improvements. The Big Ice... protect the Big Ice Cave, its subterranean water supply, and Federal improvements: Custer National Forest...

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.

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…

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...

Utilizing Big Data and Twitter to Discover Emergent Online Communities of Cannabis Users

PubMed Central

Baumgartner, Peter; Peiper, Nicholas

2017-01-01

Large shifts in medical, recreational, and illicit cannabis consumption in the United States have implications for personalizing treatment and prevention programs to a wide variety of populations. As such, considerable research has investigated clinical presentations of cannabis users in clinical and population-based samples. Studies leveraging big data, social media, and social network analysis have emerged as a promising mechanism to generate timely insights that can inform treatment and prevention research. This study extends a novel method called stochastic block modeling to derive communities of cannabis consumers as part of a complex social network on Twitter. A set of examples illustrate how this method can ascertain candidate samples of medical, recreational, and illicit cannabis users. Implications for research planning, intervention design, and public health surveillance are discussed. PMID:28615950

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

Bigfoot Field Manual, Version 2.1

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

Campbell, J.L.; Burrows, S.; Gower, S.T.

1999-09-01

The BigFoot Project is funded by the Earth Science Enterprise to collect and organize data to be used in the National Aeronautics and Space Administration's Earth Observing System (EOS) Validation Program. The data collected by the BigFoot Project are unique in being ground-based observations coincident with satellite overpasses. In addition to collecting data, the BigFoot project will develop and test new algorithms for scaling point measurements to the same spatial scales as the EOS satellite products. This BigFoot Field Manual will be used to achieve completeness and consistency of data collected at four initial BigFoot sites and at future sitesmore » that may collect similar validation data. Therefore, validation datasets submitted to the Oak Ridge National Laboratory Distributed Active Archive Center that have been compiled in a manner consistent with the field manual will be especially valuable in the validation program.« less

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.

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.

Potentiality of Big Data in the Medical Sector: Focus on How to Reshape the Healthcare System

PubMed Central

Jee, Kyoungyoung

2013-01-01

Objectives The main purpose of this study was to explore whether the use of big data can effectively reduce healthcare concerns, such as the selection of appropriate treatment paths, improvement of healthcare systems, and so on. Methods By providing an overview of the current state of big data applications in the healthcare environment, this study has explored the current challenges that governments and healthcare stakeholders are facing as well as the opportunities presented by big data. Results Insightful consideration of the current state of big data applications could help follower countries or healthcare stakeholders in their plans for deploying big data to resolve healthcare issues. The advantage for such follower countries and healthcare stakeholders is that they can possibly leapfrog the leaders' big data applications by conducting a careful analysis of the leaders' successes and failures and exploiting the expected future opportunities in mobile services. Conclusions First, all big data projects undertaken by leading countries' governments and healthcare industries have similar general common goals. Second, for medical data that cuts across departmental boundaries, a top-down approach is needed to effectively manage and integrate big data. Third, real-time analysis of in-motion big data should be carried out, while protecting privacy and security. PMID:23882412

Potentiality of big data in the medical sector: focus on how to reshape the healthcare system.

PubMed

Jee, Kyoungyoung; Kim, Gang-Hoon

2013-06-01

The main purpose of this study was to explore whether the use of big data can effectively reduce healthcare concerns, such as the selection of appropriate treatment paths, improvement of healthcare systems, and so on. By providing an overview of the current state of big data applications in the healthcare environment, this study has explored the current challenges that governments and healthcare stakeholders are facing as well as the opportunities presented by big data. Insightful consideration of the current state of big data applications could help follower countries or healthcare stakeholders in their plans for deploying big data to resolve healthcare issues. The advantage for such follower countries and healthcare stakeholders is that they can possibly leapfrog the leaders' big data applications by conducting a careful analysis of the leaders' successes and failures and exploiting the expected future opportunities in mobile services. First, all big data projects undertaken by leading countries' governments and healthcare industries have similar general common goals. Second, for medical data that cuts across departmental boundaries, a top-down approach is needed to effectively manage and integrate big data. Third, real-time analysis of in-motion big data should be carried out, while protecting privacy and security.

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…

Information Security Considerations for Applications Using Apache Accumulo

DTIC Science & Technology

2014-09-01

Distributed File System INSCOM United States Army Intelligence and Security Command JPA Java Persistence API JSON JavaScript Object Notation MAC Mandatory... MySQL [13]. BigTable can process 20 petabytes per day [14]. High degree of scalability on commodity hardware. NoSQL databases do not rely on highly...manipulation in relational databases. NoSQL databases each have a unique programming interface that uses a lower level procedural language (e.g., Java

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…

75 FR 22626 - Notice of Lodging of Consent Decree With Big River Zinc Corporation Providing for Civil Penalties...

Federal Register 2010, 2011, 2012, 2013, 2014

2010-04-29

... DEPARTMENT OF JUSTICE Notice of Lodging of Consent Decree With Big River Zinc Corporation... April 15, 2009, a proposed Consent Decree with Big River Zinc Corporation (``BRZ'') providing for civil penalties and injunctive Relief under the Clean Air Act in United States v. Big River Zinc Corp., Civil...

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

The big bang? An eventful year in workers' compensation.

PubMed

Guidotti, Tee L

2006-01-01

Workers' compensation in the past two years has been dominated by events in California, which have been so fundamental as to merit the term big bang. Passage of Senate Bill 899 has led to a comprehensive program of reform in access to medical care, access to rehabilitation services, temporary and permanent disability, evidence-based management, dispute resolution, and system innovation. Two noteworthy developments thus arose: a new requirement for apportionment by cause in causation analysis, and the adoption of evidence-based criteria for impairment assessment, treatment guidelines, and, soon, utilization review. Elsewhere in the United States, changes were modest, but extensive legislative activity in Texas suggests that Texas will be next to make major changes. In Canada, the Workers' Compensation Board of British Columbia has adopted an ambitious strategic initiative, and there is a Canadawide movement to establish presumption for certain diseases in firefighters. Suggestions for future directions include an increased emphasis on prevention, integration of programs, worker participation, enhancing the expertise of health care professionals, evidence-based management, process evaluation, and opportunities for innovation.

Entanglement properties of boundary state and thermalization

NASA Astrophysics Data System (ADS)

Guo, Wu-zhong

2018-06-01

We discuss the regularized boundary state {e}^{-{τ}_0H}\\Big|{.B>}_a on two aspects in both 2D CFT and higher dimensional free field theory. One is its entanglement and correlation properties, which exhibit exponential decay in 2D CFT, the parameter 1 /τ 0 works as a mass scale. The other concerns with its time evolution, i.e., {e}^{-itH}{e}^{-{τ}_0H}\\Big|{.B>}_a . We investigate the Kubo-Martin-Schwinger (KMS) condition on correlation function of local operators to detect the thermal properties. Interestingly we find the correlation functions in the initial state {e}^{-{τ}_0H}\\Big|{.B>}_a also partially satisfy the KMS condition. In the limit t → ∞, the correlators will exactly satisfy the KMS condition. We generally analyse quantum quench by a pure state and obtain some constraints on the possible form of 2-point correlation function in the initial state if assuming they satisfies KMS condition in the final state. As a byproduct we find in an large τ 0 limit the thermal property of 2-point function in {e}^{-{τ}_0H}\\Big|{.B>}_a also appears.

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…

The distribution and contaminant exposure of Rafinesque's Big-Eared Bats in South Carolina with an emphasis on bridge surveys.

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

F.M. Bennett; S.C. Loeb; W.W. Bowerman

Rafinesque's big-eared bat (Corynorhinus rafinesquii), an insectivorous mammal indigenous to the southern United States, has long been referred to as one of the least known bats in North America. Although there has been a moderate increase in the number of peer-reviewed articles published on this species in the past 6 years, the basic ecology and status of Rafinesque's big-eared bat remains largely obscure. Prior to 1996, when the United States Fish and Wildlife Service (USFWS) discontinued the list of Candidate Species, Rafinesque's big-eared bat was listed as a Federal Category 2 Candidate species. Currently, Rafinesque's big-eared bat is recognized asmore » a ''species of special concern'' across most of its range but receives no legal protection. Nonetheless, the USFWS and numerous state agencies remain concerned about this species. Further biological research and field study are needed to resolve the conservation status of this taxona. In response to the paucity of information regarding the status and distribution of Rafinesque's big-eared bat, statewide survey of highway bridges used as roost sites was conducted.« less

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.

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…

50 CFR 32.41 - Michigan.

Code of Federal Regulations, 2010 CFR

2010-10-01

.... Migratory Game Bird Hunting. [Reserved] B. Upland Game Hunting. [Reserved] C. Big Game Hunting. Hunting of.... [Reserved] Kirtland's Warbler Wildlife Management Area A. Migratory Game Bird Hunting. Hunting is pursuant to State regulation. B. Upland Game Hunting. Hunting is pursuant to State regulation. C. Big Game...

50 CFR 32.41 - Michigan.

Code of Federal Regulations, 2011 CFR

2011-10-01

.... Migratory Game Bird Hunting. [Reserved] B. Upland Game Hunting. [Reserved] C. Big Game Hunting. We allow.... [Reserved] Kirtland's Warbler Wildlife Management Area A. Migratory Game Bird Hunting. Hunting is pursuant to State regulation. B. Upland Game Hunting. Hunting is pursuant to State regulation. C. Big Game...

Massachusetts Institute of Technology Defense & Arms Control Studies Program

DTIC Science & Technology

1996-01-01

can we offer those in government who formulate national policy? For what wars should American forces prepare? How should defense firms think about their...Haitis or was our withdrawal from Somalia the start of a trend toward isolationism? How big should the defense budget be and what should be its...and I are often asked to identify the strategy the United States should adopt now that the Cold War has become a fast fading memory. What guidance

A simple all-time model for the birth, big bang, and death of the universe

NASA Astrophysics Data System (ADS)

Fischer, Arthur E.

We model the standard ΛCDM model of the universe by the spatially flat FLRW line element dsΛCDM2 = -c2dt2 + 8πGρm,0 Λc22/3 sinh 1 23Λct4/3dσ Euclid2 which we extend for all time t ∈ (-∞,∞). Although there is a cosmological singularity at the big bang t = 0, since the spatial part of the metric collapses to zero, nevertheless, this line element is defined for all time t ∈ (-∞,∞), is C∞ for all t≠0, is C1 differentiable at t = 0, and is non-degenerate and solves Friedmann’s equation for all t≠0. Thus, we can use this extended line element to model the universe from its past-asymptotic initial state dS4- at t = -∞, through the big bang at t = 0, and onward to its future-asymptotic final state dS4+ at t = ∞. Since in this model the universe existed before the big bang, we conclude that (1) the universe was not created de novo at the big bang and (2) cosmological singularities such as black holes or the big bang itself need not be an end to spacetime. Our model shows that the universe was asymptotically created de novo out of nothing at t = -∞ from an unstable vacuum negative half de Sitter dsdS4-2 initial state and then dies asymptotically at t = ∞ as the stable positive half de Sitter dsdS4+2 final state. Since the de Sitter states are vacuum matter states, our model shows that the universe was created from nothing at t = -∞ and dies at t = ∞ to nothing.

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.

Big Data and SME financing in China

NASA Astrophysics Data System (ADS)

Tian, Z.; Hassan, A. F. S.; Razak, N. H. A.

2018-05-01

Big Data is becoming more and more prevalent in recent years, and it attracts lots of attention from various perspectives of the world such as academia, industry, and even government. Big Data can be seen as the next-generation source of power for the economy. Today, Big Data represents a new way to approach information and help all industry and business fields. The Chinese financial market has long been dominated by state-owned banks; however, these banks provide low-efficiency help toward small- and medium-sized enterprises (SMEs) and private businesses. The development of Big Data is changing the financial market, with more and more financial products and services provided by Internet companies in China. The credit rating models and borrower identification make online financial services more efficient than conventional banks. These services also challenge the domination of state-owned banks.

Development of the Lymphoma Enterprise Architecture Database: a caBIG Silver level compliant system.

PubMed

Huang, Taoying; Shenoy, Pareen J; Sinha, Rajni; Graiser, Michael; Bumpers, Kevin W; Flowers, Christopher R

2009-04-03

Lymphomas are the fifth most common cancer in United States with numerous histological subtypes. Integrating existing clinical information on lymphoma patients provides a platform for understanding biological variability in presentation and treatment response and aids development of novel therapies. We developed a cancer Biomedical Informatics Grid (caBIG) Silver level compliant lymphoma database, called the Lymphoma Enterprise Architecture Data-system (LEAD), which integrates the pathology, pharmacy, laboratory, cancer registry, clinical trials, and clinical data from institutional databases. We utilized the Cancer Common Ontological Representation Environment Software Development Kit (caCORE SDK) provided by National Cancer Institute's Center for Bioinformatics to establish the LEAD platform for data management. The caCORE SDK generated system utilizes an n-tier architecture with open Application Programming Interfaces, controlled vocabularies, and registered metadata to achieve semantic integration across multiple cancer databases. We demonstrated that the data elements and structures within LEAD could be used to manage clinical research data from phase 1 clinical trials, cohort studies, and registry data from the Surveillance Epidemiology and End Results database. This work provides a clear example of how semantic technologies from caBIG can be applied to support a wide range of clinical and research tasks, and integrate data from disparate systems into a single architecture. This illustrates the central importance of caBIG to the management of clinical and biological data.

Plants of the Big Cypress National Preserve, Florida

USGS Publications Warehouse

Muss, J.D.; Austin, D.F.; Snyder, J.R.

2003-01-01

A new survey of the Big Cypress National Preserve shows that the vascular flora consists of 145 families and 851 species. Of these, 72 are listed by the State of Florida as endangered or threatened plants, while many others are on the margins of their ranges. The survey also shows 158 species of exotic plants within the Preserve, some of which imperil native species by competing with them. Finally, we compare the flora of the Big Cypress National Preserve with those of the nearby Fakahatchee Strand State Preserve and the Everglades National Park. Although Big Cypress is less than half the size of Everglades National Park, it has 90% of the native species richness (693 vs. 772).

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

Investing in Innovation

ERIC Educational Resources Information Center

National Governors Association, 2007

2007-01-01

"Investing in Innovation" provides a snapshot of trends in the states and identifies a wide range of strategies now employed. California's big investments, such as $3 billion for stem cell research, have already grabbed national headlines. But states like Arizona, Indiana and North Dakota, which haven't historically been big research and…

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...

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.

Before the Big Bang? A Novel Resolution of a Profound Cosmological Puzzle

ScienceCinema

Penrose, Roger

2018-01-24

The second law of thermodynamics says, in effect, that things get more random as time progresses. Thus, we can deduce that the beginning of the universe - the Big Bang - must have been an extraordinarily precisely organized state. What was the nature of this state? How can such a special state have come about? In Penrose's talk, a novel explanation is suggested.

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

New Data, Old Tensions: Big Data, Personalized Learning, and the Challenges of Progressive Education

ERIC Educational Resources Information Center

Dishon, Gideon

2017-01-01

Personalized learning has become the most notable application of big data in primary and secondary schools in the United States. The combination of big data and adaptive technological platforms is heralded as a revolution that could transform education, overcoming the outdated classroom model, and realizing the progressive vision of…

State of the Universe. If Not with a Big Bang, Then What?

ERIC Educational Resources Information Center

Peterson, Ivars

1991-01-01

The Big Bang Theory and alternatives to the Big Bang Theory as an explanation for the origin of the universe are discussed. The importance of the discovery of redshift, the percentage of hydrogen found in old stars, and the existence of a uniform sea of radiation are explained. (KR)

Big trees of the Midsouth Forest Survey

Treesearch

Dennis M. May

1990-01-01

Forestry agencies and associations across the country maintain registers of champion big trees.Listings of the biggest trees encountered on the USDA Forest Service's continuing survey of the forest lands of seven Midsouth States have been prepared.The listings report the biggest trees encountered by species for each State and the Midsouth region.These listings...

The Swift MIDEX Education and Public Outreach Program

NASA Astrophysics Data System (ADS)

Feigelson, E. D.; Cominsky, L. R.; Whitlock, L. A.

1999-12-01

The Swift satellite is dedicated to an understanding of gamma-ray bursts, the most powerful explosions in the Universe since the Big Bang. A multifaceted E/PO program associated with Swift is planned. Web sites will be constructed, including sophisticated interactive learning environments for combining science concepts with with exploration and critical thinking for high school students. The award-winning instructional television program "What's in the News?", produced by Penn State Public Broadcasting and reaching several million 4th-7th graders, will create a series of broadcasts on Swift and space astronomy. A teachers' curricular guide on space astronomy will be produced by UC-Berkeley's Lawrence Hall of Science as part of their highly successful GEMS guides promoting inquiry-based science education. Teacher workshops will be conducted in the Appalachian region and nationwide to testbed and disseminate these products. We may also assist the production of gamma-ray burst museum exhibits. All aspects of the program will be overseen by a Swift Education Committee and assessed by a professional educational evaluation firm. This effort will be supported by the NASA Swift MIDEX contract to Penn State.

A glossary for big data in population and public health: discussion and commentary on terminology and research methods.

PubMed

Fuller, Daniel; Buote, Richard; Stanley, Kevin

2017-11-01

The volume and velocity of data are growing rapidly and big data analytics are being applied to these data in many fields. Population and public health researchers may be unfamiliar with the terminology and statistical methods used in big data. This creates a barrier to the application of big data analytics. The purpose of this glossary is to define terms used in big data and big data analytics and to contextualise these terms. We define the five Vs of big data and provide definitions and distinctions for data mining, machine learning and deep learning, among other terms. We provide key distinctions between big data and statistical analysis methods applied to big data. We contextualise the glossary by providing examples where big data analysis methods have been applied to population and public health research problems and provide brief guidance on how to learn big data analysis methods. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Big Science and Big Big Science

ERIC Educational Resources Information Center

Marshall, Steve

2012-01-01

In his introduction to the science shows feature in "Primary Science" 115, Ian B. Dunne asks the question "Why have science shows?" He lists a host of very sound reasons, starting with because "science is fun" so why not engage and entertain, inspire, grab attention and encourage them to learn? He goes onto to state that: "Even in today's…

Conservation and management of eastern big-eared bats: a symposium

Treesearch

Susan C. Loeb; Michael J. Lacki; Darren A. Miller

2011-01-01

Big-eared bats (genus Corynorhinus) in the Eastern United States are species of special conservation concern. These species are at risk due to many factors, including lack of knowledge about their basic biology, population numbers or trends, and distribution. This volume contains five synthesis papers on the status, ecology, and conservation of eastern big-eared bats...

The big sur ecoregion sudden oak death adaptive management project: ecological monitoring

Treesearch

Allison C. Wickland; Kerri M. Frangioso; David M. Rizzo; Ross K. Meentemeyer

2008-01-01

The Big Sur area is one of the most ecologically diverse regions in California. Land preservation efforts are well established in Big Sur, including numerous preserves, state parks and the Los Padres National Forest. However, there are still many conservation threats that cut across these areas including exotic species (plants, animals, and pathogens) and alterations...

[Structural Change, Contextuality, and Transfer in Health Promotion--Sustainable Implementation of the BIG Project].

PubMed

Rütten, A; Frahsa, A; Rosenhäger, N; Wolff, A

2015-09-01

The BIG approach aims at promoting physical activity and health among socially disadvantaged women. BIG has been developed and sustainably implemented in Erlangen/Bavaria. Subsequently, it has been transferred to other communities and states in Germany. Crucial factors for sustainability and transfer in BIG are (1) lifestyle and policy analysis, (2) assets approach, (3) empowerment of target group, (4) enabling of policy-makers and professionals. © Georg Thieme Verlag KG Stuttgart · New York.

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

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.

Hints of a Fundamental Misconception in Cosmology

NASA Astrophysics Data System (ADS)

Prather, Edward E.; Slater, Timothy F.; Offerdahl, Erika G.

To explore the frequency and range of student ideas regarding the Big Bang, nearly 1,000 students from middle school, secondary school, and college were surveyed and asked if they had heard of the Big Bang and, if so, to describe it. In analyzing their responses, we uncovered an unexpected result that more than half of the students who stated that they had heard of the Big Bang also provided responses that suggest they believe that the Big Bang was a phenomenon that organized pre-existing matter. To further examine this result, a second group of college students was asked specifically to describe what existed or occurred before, during, and after the Big Bang. Nearly 70% gave responses clearly stating that matter existed prior to the Big Bang. These results are interpreted as strongly suggesting that most students are answering these questions by employing an internally consistent element of knowledge or reasoning (often referred to as a phenomenological primitive, or p-prim), consistent with the idea that "you can't make something from nothing." These results inform the debate about the extent to which college students have pre-existing notions that are poised to interfere with instructional efforts about contemporary physics and astronomy topics.

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

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…

Conservative nutrient use by big-leaf mahogany (Swietenia macrophylla King) planted under contrasting environmental conditions

Treesearch

E. Medina; E. Cuevas; A.E. Lugo; E. Terezo; J. Jimenez-Osornio; P.A. Macario-Mendoza; P. Montanez

2014-01-01

We analyzed the nutritional composition and isotope ratios (C and N) of big-leaf mahogany (Swietenia macrophylla King) leaves in plantations established on contrasting soils and climates in Central America (State of Quintana Roo, Yucatan, Mexico) and South America (State of Para, Brazil). The objective was to determine the adaptability of this species to large...

SIGPROC: Pulsar Signal Processing Programs

NASA Astrophysics Data System (ADS)

Lorimer, D. R.

2011-07-01

SIGPROC is a package designed to standardize the initial analysis of the many types of fast-sampled pulsar data. Currently recognized machines are the Wide Band Arecibo Pulsar Processor (WAPP), the Penn State Pulsar Machine (PSPM), the Arecibo Observatory Fourier Transform Machine (AOFTM), the Berkeley Pulsar Processors (BPP), the Parkes/Jodrell 1-bit filterbanks (SCAMP) and the filterbank at the Ooty radio telescope (OOTY). The SIGPROC tools should help users look at their data quickly, without the need to write (yet) another routine to read data or worry about big/little endian compatibility (byte swapping is handled automatically).

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

Social Vocalizations of Big Brown Bats Vary with Behavioral Context

PubMed Central

Gadziola, Marie A.; Grimsley, Jasmine M. S.; Faure, Paul A.; Wenstrup, Jeffrey J.

2012-01-01

Bats are among the most gregarious and vocal mammals, with some species demonstrating a diverse repertoire of syllables under a variety of behavioral contexts. Despite extensive characterization of big brown bat (Eptesicus fuscus) biosonar signals, there have been no detailed studies of adult social vocalizations. We recorded and analyzed social vocalizations and associated behaviors of captive big brown bats under four behavioral contexts: low aggression, medium aggression, high aggression, and appeasement. Even limited to these contexts, big brown bats possess a rich repertoire of social vocalizations, with 18 distinct syllable types automatically classified using a spectrogram cross-correlation procedure. For each behavioral context, we describe vocalizations in terms of syllable acoustics, temporal emission patterns, and typical syllable sequences. Emotion-related acoustic cues are evident within the call structure by context-specific syllable types or variations in the temporal emission pattern. We designed a paradigm that could evoke aggressive vocalizations while monitoring heart rate as an objective measure of internal physiological state. Changes in the magnitude and duration of elevated heart rate scaled to the level of evoked aggression, confirming the behavioral state classifications assessed by vocalizations and behavioral displays. These results reveal a complex acoustic communication system among big brown bats in which acoustic cues and call structure signal the emotional state of a caller. PMID:22970247

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...

Roost selection by big brown bats in forests of Arkansas: importance of pine snags and open forest habitats to males

Treesearch

Roger W. Perry; Ronald E. Thill

2008-01-01

Although Eptesicus fuscus (Big Brown Bat) has been widely studied, information on tree-roosting in forests by males is rare, and little information is available on tree roosting in the southeastern United States. Our objectives were to characterize diurnal summer roosts, primarily for male Big Brown Bats, and to determine relationships between forest...

Influence of container size on Wyoming big sagebrush seedling morphology and cold hardiness

Treesearch

Kayla R. Herriman; Anthony S. Davis; R. Kasten Dumroese

2009-01-01

Wyoming big sagebrush (Artemisia tridentata) is a key component of sagebrush steppe ecosystems and is a dominant shrub throughout the western United States. Our objective was to identify the effect of container size on plant morphology of Wyoming big sagebrush. We used three different stocktypes (45/340 ml [20 in3], 60/250 ml [15 in3], 112/105 ml [6....

Between the State and the Individual: "Big Society" Communitarianism and English Conservative Rhetoric

ERIC Educational Resources Information Center

Gibson, Howard

2015-01-01

During his quest for leadership of the English Conservative Party, David Cameron declared his intention to turn Britain into a Big Society. In May 2010, having gained office as Prime Minister, he unveiled a string of policies to bring his vision to fruition. After five years, however, talk of the Big Society has withered in public debate such that…

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.

A conservation plan for native fishes of the Lower Colorado River

USGS Publications Warehouse

Minckley, W.L.; Marsh, P.C.; Deacon, J.E.; Dowling, T.E.; Hedrick, P.W.; Matthews, W.J.; Mueller, G.

2003-01-01

The native fish fauna of the lower Colorado River, in the western United States, includes four “big-river” fishes that are federally listed as endangered. Existing recovery implementation plans are inadequate for these critically imperiled species. We describe a realistic, proactive management program founded on demographic and genetic principles and crafted to avoid potential conflicts with nonnative sport fisheries. In this program, native species would breed and their progeny grow in isolated, protected, off-channel habitats in the absence of nonnative fishes. Panmictic adult populations would reside in the main channel and connected waters, exchanging reproductive adults and repatriated subadults with populations occupying isolated habitats. Implementation of the plan would greatly enhance recovery potential of the four listed fishes.

BBCC Transfer Student Follow-Up: Washington State University Students Reflect upon Big Bend Community College Education.

ERIC Educational Resources Information Center

Allard, Scott

In March 1992, a team of Big Bend Community College (BBCC) faculty members traveled to Washington State University (WSU) to survey and interview former BBCC students enrolled at WSU. The purpose of the investigation was to assess the effectiveness of BBCC in preparing students for transfer to and continued success at the four-year college level,…

MarDRe: efficient MapReduce-based removal of duplicate DNA reads in the cloud.

PubMed

Expósito, Roberto R; Veiga, Jorge; González-Domínguez, Jorge; Touriño, Juan

2017-09-01

This article presents MarDRe, a de novo cloud-ready duplicate and near-duplicate removal tool that can process single- and paired-end reads from FASTQ/FASTA datasets. MarDRe takes advantage of the widely adopted MapReduce programming model to fully exploit Big Data technologies on cloud-based infrastructures. Written in Java to maximize cross-platform compatibility, MarDRe is built upon the open-source Apache Hadoop project, the most popular distributed computing framework for scalable Big Data processing. On a 16-node cluster deployed on the Amazon EC2 cloud platform, MarDRe is up to 8.52 times faster than a representative state-of-the-art tool. Source code in Java and Hadoop as well as a user's guide are freely available under the GNU GPLv3 license at http://mardre.des.udc.es . rreye@udc.es. © The Author (2017). Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com

Quantum nature of the big bang.

PubMed

Ashtekar, Abhay; Pawlowski, Tomasz; Singh, Parampreet

2006-04-14

Some long-standing issues concerning the quantum nature of the big bang are resolved in the context of homogeneous isotropic models with a scalar field. Specifically, the known results on the resolution of the big-bang singularity in loop quantum cosmology are significantly extended as follows: (i) the scalar field is shown to serve as an internal clock, thereby providing a detailed realization of the "emergent time" idea; (ii) the physical Hilbert space, Dirac observables, and semiclassical states are constructed rigorously; (iii) the Hamiltonian constraint is solved numerically to show that the big bang is replaced by a big bounce. Thanks to the nonperturbative, background independent methods, unlike in other approaches the quantum evolution is deterministic across the deep Planck regime.

Regularization of the big bang singularity with random perturbations

NASA Astrophysics Data System (ADS)

Belbruno, Edward; Xue, BingKan

2018-03-01

We show how to regularize the big bang singularity in the presence of random perturbations modeled by Brownian motion using stochastic methods. We prove that the physical variables in a contracting universe dominated by a scalar field can be continuously and uniquely extended through the big bang as a function of time to an expanding universe only for a discrete set of values of the equation of state satisfying special co-prime number conditions. This result significantly generalizes a previous result (Xue and Belbruno 2014 Class. Quantum Grav. 31 165002) that did not model random perturbations. This result implies that the extension from a contracting to an expanding universe for the discrete set of co-prime equation of state is robust, which is a surprising result. Implications for a purely expanding universe are discussed, such as a non-smooth, randomly varying scale factor near the big bang.

Using systems thinking in state health policymaking: an educational initiative.

PubMed

Minyard, Karen J; Ferencik, Rachel; Ann Phillips, Mary; Soderquist, Chris

2014-06-01

In response to limited examples of opportunities for state policymakers to learn about and productively discuss the difficult, adaptive challenges of our health system, the Georgia Health Policy Center developed an educational initiative that applies systems thinking to health policymaking. We created the Legislative Health Policy Certificate Program - an in-depth, multi-session series for lawmakers and their staff - concentrating on building systems thinking competencies and health content knowledge by applying a range of systems thinking tools: behavior over time graphs, stock and flow maps, and a system dynamics-based learning lab (a simulatable model of childhood obesity). Legislators were taught to approach policy issues from the big picture, consider changing dynamics, and explore higher-leverage interventions to address Georgia's most intractable health challenges. Our aim was to determine how we could improve the policymaking process by providing a systems thinking-focused educational program for legislators. Over 3 years, the training program resulted in policymakers' who are able to think more broadly about difficult health issues. The program has yielded valuable insights into the design and delivery of policymaker education that could be applied to various disciplines outside the legislative process.

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.

Agricultural Census 2012: Publishing Mashable GIS Big Data Services

NASA Astrophysics Data System (ADS)

Mueller, R.

2014-12-01

The 2012 Agricultural Census was released by the US Department of Agriculture (USDA) on May 2nd 2014; published on a quinquennial basis covering all facets of American production agriculture. The Agricultural Census is a comprehensive source of uniform published agricultural data for every state and county in the US. This is the first Agricultural Census that is disseminated with web mapping services using REST APIs. USDA developed an open GIS mashable web portal that depicts over 250 maps on Crops and Plants, Economics, Farms, Livestock and Animals, and Operators. These mapping services written in JavaScript replace the traditional static maps published as the Ag Atlas. Web users can now visualize, interact, query, and download the Agricultural Census data in a means not previously discoverable. Stakeholders will now be able to leverage this data for activities such as community planning, agribusiness location suitability analytics, availability of loans/funds, service center locations and staffing, and farm programs and policies. Additional sites serving compatible mashable USDA Big Data web services are as follows: The Food Environment Atlas, The Atlas of Rural and Small-Town America, The Farm Program Atlas, SNAP Data System, CropScape, and VegScape. All portals use a similar data organization scheme of "Categories" and "Maps" providing interactive mashable web services for agricultural stakeholders to exploit.

Measurement of the forward-backward asymmetry in the distribution of leptons in t t ¯ events in the lepton + jets channel

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

Abazov, V. M.; Abbott, B.; Acharya, B. S.

2014-10-01

We present measurements of the forward-backward asymmetry in the angular distribution of leptons from decays of top quarks and antiquarks produced in proton-antiproton collisions. We consider the final state containing a lepton and at least three jets. The entire sample of data collected by the D0 experiment during Run II of the Fermilab Tevatron Collider, corresponding to 9.7 inverse fb of integrated luminosity, is used. The asymmetry measured for reconstructed leptons ismore » $$A_{FB}^l = \\big(2.9 \\pm 2.1(stat.) ^{+1.5}_{-1.7}(syst.) \\big)$$%. When corrected for efficiency and resolution effects within the lepton rapidity coverage of $$|y_l|<1.5$$, the asymmetry is found to be $$A_{FB}^l = \\big(4.2 \\pm 2.3(stat.) ^{+1.7}_{-2.0}(syst.) \\big)$$%. Combination with the asymmetry measured in the dilepton final state yields $$A_{FB}^l = \\big(4.2 \\pm 2.0(stat.) \\pm 1.4(syst.) \\big)$$%. We examine the dependence of $$A_{FB}^l$$ on the transverse momentum and rapidity of the lepton. The results are in agreement with predictions from the next-to-leading-order QCD generator \\mcatnlo, which predicts an asymmetry of $$A_{FB}^l = 2.0$$% for $$|y_l|<1.5$$.« less

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…

Whole Trait Theory

PubMed Central

Fleeson, William; Jayawickreme, Eranda

2014-01-01

Personality researchers should modify models of traits to include mechanisms of differential reaction to situations. Whole Trait Theory does so via five main points. First, the descriptive side of traits should be conceptualized as density distributions of states. Second, it is important to provide an explanatory account of the Big 5 traits. Third, adding an explanatory account to the Big 5 creates two parts to traits, an explanatory part and a descriptive part, and these two parts should be recognized as separate entities that are joined into whole traits. Fourth, Whole Trait Theory proposes that the explanatory side of traits consists of social-cognitive mechanisms. Fifth, social-cognitive mechanisms that produce Big-5 states should be identified. PMID:26097268

Results of new petrologic and remote sensing studies in the Big Bend region

NASA Astrophysics Data System (ADS)

Benker, Stevan Christian

The initial section of this manuscript involves the South Rim Formation, a series of 32.2-32 Ma comenditic quartz trachytic-rhyolitic volcanics and associated intrusives, erupted and was emplaced in Big Bend National Park, Texas. Magmatic parameters have only been interpreted for one of the two diverse petrogenetic suites comprising this formation. Here, new mineralogic data for the South Rim Formation rocks are presented. Magmatic parameters interpreted from these data assist in deciphering lithospheric characteristics during the mid-Tertiary. Results indicate low temperatures (< 750 °C), reduced conditions (generally below the FMQ buffer), and low pressures (≤ 100 MPa) associated with South Rim Formation magmatism with slight conditional differences between the two suites. Newly discovered fayalite microphenocrysts allowed determination of oxygen fugacity values (between -0.14 and -0.25 DeltaFMQ over temperature ranges of 680-700 °C), via mineral equilibria based QUILF95 calculations, for Emory Peak Suite. Petrologic information is correlated with structural evidence from Trans-Pecos Texas and adjacent regions to evaluate debated timing of tectonic transition (Laramide compression to Basin and Range extension) and onset of the southern Rio Grande Rift during the mid-Tertiary. The A-type and peralkaline characteristics of the South Rim Formation and other pre-31 Ma magmatism in Trans-Pecos Texas, in addition to evidence implying earlier Rio Grande Rift onset in Colorado and New Mexico, promotes a near-neutral to transtensional setting in Trans-Pecos Texas by 32 Ma. This idea sharply contrasts with interpretations of tectonic compression and arc-related magmatism until 31 Ma as suggested by some authors. However, evidence discussed cannot preclude a pre-36 Ma proposed by other authors. The later section of this manuscript involves research in the Big Bend area using Google Earth. At present there is high interest in using Google Earth in a variety of scientific investigations. However, program developers have disclosed limited information concerning the program and its accuracy. While some authors have attempted to independently constrain the accuracy of Google Earth, their results have potentially lost validity through time due to technological advances and updates to imagery archives. For this reason we attempt to constrain more current horizontal and vertical position accuracies for the Big Bend region of West Texas. In Google Earth a series of 268 data points were virtually traced along various early Tertiary unconformities in Big Bend National Park and Big Bend Ranch State Park. These data points were compared with high precision GPS measurements collected in field and yielded a horizontal position accuracy of 2.64 meters RMSE. Complications arose in determining vertical position accuracy for Google Earth because default keyhole markup language (.kml) files currently do not export elevation data. This drawback forces users to hand record and manually input elevation values listed on screen. This is a significant handicap rendering Google Earth data useless with larger datasets. However, in a workaround solution exempted elevation values can be replaced from other data sources based on Google Earth horizontal positioning. We used Fledermaus 3D three-dimensional visualization software to drape Google Earth horizontal positions over a National Elevation Dataset (NED) digital elevation map (DEM) in order to adopt a large set of elevation data. A vertical position accuracy of 1.63 meters RMSE was determined between 268 Google Earth data points and the NED. Since determined accuracies were considerably lower than those reported in previous investigations, we devoted a later portion of this investigation to testing Google Earth-NED data in paleo-surface modeling of the Big Bend region. An 18 x 30 kilometer area in easternmost Big Ranch State Park was selected to create a post-Laramide paleo-surface model via interpolation of approximately 2900 Google Earth-NED data points representing sections of an early Tertiary unconformity. The area proved difficult to model as unconformity tracing and interpolation were often hindered by surface inflation due to regional magmatism, burial of Laramide topography by subsequent volcanism and sedimentation, and overprinting of Basin & Range extensional features masking Laramide compressional features. Despite these difficulties, a model was created illustrating paleo-topographic highs in the southeastern Bofecillos Mountains and at Lajitas Mesa. Based on the amount of surface relief depicted, inconsistency with subsequent normal faulting, and distance from magmatic features capable of surface doming or inflation, we believe the paleo-topographic highs modeled legitimately reflect the post-Laramide surface. We interpret the paleo-surface in this area as reflecting a post-Laramide surface that has experienced significant erosion. We attribute the paleo-topographic highs as Laramide topography that was more resistant. The model also implies a southern paleo-drainage direction for the area and suggests the present day topographic low through which the Rio Grande flows may have formed very soon after the Laramide Orogeny. Based on the newly calculated horizontal and vertical position accuracies for the Big Bend region and results of modeled Google Earth-NED data in easternmost Big Bend Ranch State Park, it seems Google Earth can be effectively utilized for remote sensing and geologic studies, however we urge caution as developers remain reluctant to disclose detailed program information to the public.

Assessing Teachers' Comprehension of What Matters in Earth Science

NASA Astrophysics Data System (ADS)

Penuel, W. R.; Kreikemeier, P.; Venezky, D.; Blank, J. G.; Davatzes, A.; Davatzes, N.

2006-12-01

Curricular standards developed for individual U.S. States tell teachers what they should teach. Most sets of standards are too numerous to be taught in a single year, forcing teachers to make decisions about what to emphasize in their curriculum. Ideally, such decisions would be based on what matters most in Earth science, namely, the big ideas that anchor scientific inquiry in the field. A measure of teachers' ability to associate curriculum standards with fundamental concepts in Earth science would help K-12 program and curriculum developers to bridge gaps in teachers' knowledge in order to help teachers make better decisions about what is most important to teach and communicate big ideas to students. This paper presents preliminary results of an attempt to create and validate a measure of teachers' comprehension of what matters in three sub-disciplines of Earth science. This measure was created as part of an experimental study of teacher professional development in Earth science. It is a task that requires teachers to take their state's curriculum standards and identify which standards are necessary or supplemental to developing students' understanding of fundamental concepts in the target sub-disciplines. To develop the task, a team of assessment experts and educational researchers asked a panel of four Earth scientists to identify key concepts embedded within middle school standards for the state of Florida. The Earth science panel reached a consensus on which standards needed to be taught in order to develop understanding of those concepts; this was used as a basis for comparison with teacher responses. Preliminary analysis of the responses of 44 teachers who participated in a pilot validation study identified differences between teachers' and scientists' maps of standards to big ideas in the sub-disciplines. On average, teachers identified just under one-third of the connections seen by expert Earth scientists between the concepts and their state standards. Teachers with higher levels of agreement also had a higher percentage of standards identified that were "off-grade," meaning that they saw connections to standards that they were not themselves required to teach but that nonetheless were relevant to developing student understanding of a particular concept. This result is consistent with the premise that to make good decisions about what to teach, teachers need to be able to identify relevant standards from other grade levels that are connected to the big ideas of a discipline (Shulman, 1986, Educ. Res. 15:4-14).

NASA's Big Data Task Force

NASA Astrophysics Data System (ADS)

Holmes, C. P.; Kinter, J. L.; Beebe, R. F.; Feigelson, E.; Hurlburt, N. E.; Mentzel, C.; Smith, G.; Tino, C.; Walker, R. J.

2017-12-01

Two years ago NASA established the Ad Hoc Big Data Task Force (BDTF - https://science.nasa.gov/science-committee/subcommittees/big-data-task-force), an advisory working group with the NASA Advisory Council system. The scope of the Task Force included all NASA Big Data programs, projects, missions, and activities. The Task Force focused on such topics as exploring the existing and planned evolution of NASA's science data cyber-infrastructure that supports broad access to data repositories for NASA Science Mission Directorate missions; best practices within NASA, other Federal agencies, private industry and research institutions; and Federal initiatives related to big data and data access. The BDTF has completed its two-year term and produced several recommendations plus four white papers for NASA's Science Mission Directorate. This presentation will discuss the activities and results of the TF including summaries of key points from its focused study topics. The paper serves as an introduction to the papers following in this ESSI session.

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…

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…

50 CFR 32.59 - Rhode Island.

Code of Federal Regulations, 2011 CFR

2011-10-01

... Refuge A. Migratory Game Bird Hunting. [Reserved] B. Upland Game Hunting. [Reserved] C. Big Game Hunting... accordance with state regulations. Ninigret National Wildlife Refuge A. Migratory Game Bird Hunting. [Reserved] B. Upland Game Hunting. [Reserved] C. Big Game Hunting. [Reserved] D. Sport Fishing. Anglers may...

50 CFR 32.59 - Rhode Island.

Code of Federal Regulations, 2010 CFR

2010-10-01

... Refuge A. Migratory Game Bird Hunting. [Reserved] B. Upland Game Hunting. [Reserved] C. Big Game Hunting... accordance with state regulations. Ninigret National Wildlife Refuge A. Migratory Game Bird Hunting. [Reserved] B. Upland Game Hunting. [Reserved] C. Big Game Hunting. [Reserved] D. Sport Fishing. Anglers may...

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.

Big-data-based edge biomarkers: study on dynamical drug sensitivity and resistance in individuals.

PubMed

Zeng, Tao; Zhang, Wanwei; Yu, Xiangtian; Liu, Xiaoping; Li, Meiyi; Chen, Luonan

2016-07-01

Big-data-based edge biomarker is a new concept to characterize disease features based on biomedical big data in a dynamical and network manner, which also provides alternative strategies to indicate disease status in single samples. This article gives a comprehensive review on big-data-based edge biomarkers for complex diseases in an individual patient, which are defined as biomarkers based on network information and high-dimensional data. Specifically, we firstly introduce the sources and structures of biomedical big data accessible in public for edge biomarker and disease study. We show that biomedical big data are typically 'small-sample size in high-dimension space', i.e. small samples but with high dimensions on features (e.g. omics data) for each individual, in contrast to traditional big data in many other fields characterized as 'large-sample size in low-dimension space', i.e. big samples but with low dimensions on features. Then, we demonstrate the concept, model and algorithm for edge biomarkers and further big-data-based edge biomarkers. Dissimilar to conventional biomarkers, edge biomarkers, e.g. module biomarkers in module network rewiring-analysis, are able to predict the disease state by learning differential associations between molecules rather than differential expressions of molecules during disease progression or treatment in individual patients. In particular, in contrast to using the information of the common molecules or edges (i.e.molecule-pairs) across a population in traditional biomarkers including network and edge biomarkers, big-data-based edge biomarkers are specific for each individual and thus can accurately evaluate the disease state by considering the individual heterogeneity. Therefore, the measurement of big data in a high-dimensional space is required not only in the learning process but also in the diagnosing or predicting process of the tested individual. Finally, we provide a case study on analyzing the temporal expression data from a malaria vaccine trial by big-data-based edge biomarkers from module network rewiring-analysis. The illustrative results show that the identified module biomarkers can accurately distinguish vaccines with or without protection and outperformed previous reported gene signatures in terms of effectiveness and efficiency. © The Author 2015. Published by Oxford University Press. For Permissions, please email: journals.permissions@oup.com.

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?

Solar Data Mining at Georgia State University

NASA Astrophysics Data System (ADS)

Angryk, R.; Martens, P. C.; Schuh, M.; Aydin, B.; Kempton, D.; Banda, J.; Ma, R.; Naduvil-Vadukootu, S.; Akkineni, V.; Küçük, A.; Filali Boubrahimi, S.; Hamdi, S. M.

2016-12-01

In this talk we give an overview of research projects related to solar data analysis that are conducted at Georgia State University. We will provide update on multiple advances made by our research team on the analysis of image parameters, spatio-temporal patterns mining, temporal data analysis and our experiences with big, heterogeneous solar data visualization, analysis, processing and storage. We will talk about up-to-date data mining methodologies, and their importance for big data-driven solar physics research.

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)…

50 CFR 32.71 - United States Unincorporated Pacific Insular Possessions.

Code of Federal Regulations, 2013 CFR

2013-10-01

.... Migratory Game Bird Hunting. [Reserved] B. Upland Game Hunting. [Reserved] C. Big Game Hunting. [Reserved] D. Sport Fishing. [Reserved] Midway Atoll National Wildlife Refuge A. Migratory Game Bird Hunting. [Reserved] B. Upland Game Hunting. [Reserved] C. Big Game Hunting. [Reserved] D. Sport Fishing. [Reserved...

50 CFR 32.71 - United States Unincorporated Pacific Insular Possessions.

Code of Federal Regulations, 2012 CFR

2012-10-01

.... Migratory Game Bird Hunting. [Reserved] B. Upland Game Hunting. [Reserved] C. Big Game Hunting. [Reserved] D. Sport Fishing. [Reserved] Midway Atoll National Wildlife Refuge A. Migratory Game Bird Hunting. [Reserved] B. Upland Game Hunting. [Reserved] C. Big Game Hunting. [Reserved] D. Sport Fishing. [Reserved...

50 CFR 32.71 - United States Unincorporated Pacific Insular Possessions.

Code of Federal Regulations, 2011 CFR

2011-10-01

.... Migratory Game Bird Hunting. [Reserved] B. Upland Game Hunting. [Reserved] C. Big Game Hunting. [Reserved] D. Sport Fishing. [Reserved] Midway Atoll National Wildlife Refuge A. Migratory Game Bird Hunting. [Reserved] B. Upland Game Hunting. [Reserved] C. Big Game Hunting. [Reserved] D. Sport Fishing. [Reserved...

50 CFR 32.71 - United States Unincorporated Pacific Insular Possessions.

Code of Federal Regulations, 2014 CFR

2014-10-01

.... Migratory Game Bird Hunting. [Reserved] B. Upland Game Hunting. [Reserved] C. Big Game Hunting. [Reserved] D. Sport Fishing. [Reserved] Midway Atoll National Wildlife Refuge A. Migratory Game Bird Hunting. [Reserved] B. Upland Game Hunting. [Reserved] C. Big Game Hunting. [Reserved] D. Sport Fishing. [Reserved...

50 CFR 32.71 - United States Unincorporated Pacific Insular Possessions.

Code of Federal Regulations, 2010 CFR

2010-10-01

.... Migratory Game Bird Hunting. [Reserved] B. Upland Game Hunting. [Reserved] C. Big Game Hunting. [Reserved] D. Sport Fishing. [Reserved] Midway Atoll National Wildlife Refuge A. Migratory Game Bird Hunting. [Reserved] B. Upland Game Hunting. [Reserved] C. Big Game Hunting. [Reserved] D. Sport Fishing. [Reserved...

75 FR 69120 - National Natural Landmark Designations

Federal Register 2010, 2011, 2012, 2013, 2014

2010-11-10

... Landmarks: Big Bone Lick, Boone County, Kentucky; Cave Without a Name, Kendall County, Texas; Chazy Fossil....nps.gov/nnl . Site Descriptions: The Big Bone Lick site is located within the State of Kentucky... springs and associated late Pleistocene bone beds. Many types of animals, especially large herbivores...

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...

Statewide Physical Fitness Testing: A BIG Waist or a BIG Waste?

ERIC Educational Resources Information Center

Morrow, James R., Jr.; Ede, Alison

2009-01-01

Statewide physical fitness testing is gaining popularity in the United States because of increased childhood obesity levels, the relations between physical fitness and academic performance, and the hypothesized relations between adult characteristics and childhood physical activity, physical fitness, and health behaviors. Large-scale physical…

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).

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...

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.

Internet of things and Big Data as potential solutions to the problems in waste electrical and electronic equipment management: An exploratory study.

PubMed

Gu, Fu; Ma, Buqing; Guo, Jianfeng; Summers, Peter A; Hall, Philip

2017-10-01

Management of Waste Electrical and Electronic Equipment (WEEE) is a vital part in solid waste management, there are still some difficult issues require attentionss. This paper investigates the potential of applying Internet of Things (IoT) and Big Data as the solutions to the WEEE management problems. The massive data generated during the production, consumption and disposal of Electrical and Electronic Equipment (EEE) fits the characteristics of Big Data. Through using the state-of-the-art communication technologies, the IoT derives the WEEE "Big Data" from the life cycle of EEE, and the Big Data technologies process the WEEE "Big Data" for supporting decision making in WEEE management. The framework of implementing the IoT and the Big Data technologies is proposed, with its multiple layers are illustrated. Case studies with the potential application scenarios of the framework are presented and discussed. As an unprecedented exploration, the combined application of the IoT and the Big Data technologies in WEEE management brings a series of opportunities as well as new challenges. This study provides insights and visions for stakeholders in solving the WEEE management problems under the context of IoT and Big Data. Copyright © 2017 Elsevier Ltd. All rights reserved.

Do Global Cities Enable Global Views? Using Twitter to Quantify the Level of Geographical Awareness of U.S. Cities.

PubMed

Han, Su Yeon; Tsou, Ming-Hsiang; Clarke, Keith C

2015-01-01

Dynamic social media content, such as Twitter messages, can be used to examine individuals' beliefs and perceptions. By analyzing Twitter messages, this study examines how Twitter users exchanged and recognized toponyms (city names) for different cities in the United States. The frequency and variety of city names found in their online conversations were used to identify the unique spatiotemporal patterns of "geographical awareness" for Twitter users. A new analytic method, Knowledge Discovery in Cyberspace for Geographical Awareness (KDCGA), is introduced to help identify the dynamic spatiotemporal patterns of geographic awareness among social media conversations. Twitter data were collected across 50 U.S. cities. Thousands of city names around the world were extracted from a large volume of Twitter messages (over 5 million tweets) by using the Twitter Application Programming Interface (APIs) and Python language computer programs. The percentages of distant city names (cities located in distant states or other countries far away from the locations of Twitter users) were used to estimate the level of global geographical awareness for Twitter users in each U.S. city. A Global awareness index (GAI) was developed to quantify the level of geographical awareness of Twitter users from within the same city. Our findings are that: (1) the level of geographical awareness varies depending on when and where Twitter messages are posted, yet Twitter users from big cities are more aware of the names of international cities or distant US cities than users from mid-size cities; (2) Twitter users have an increased awareness of other city names far away from their home city during holiday seasons; and (3) Twitter users are more aware of nearby city names than distant city names, and more aware of big city names rather than small city names.

Toward understanding the relationship between personality and well-being states and traits.

PubMed

Magee, Carly; Biesanz, Jeremy C

2018-04-06

Although there is a robust connection between dispositional personality traits and well-being, relatively little research has comprehensively examined the ways in which all Big Five personality states are associated with short-term experiences of well-being within individuals. To address three central questions about the nature of the relationship between personality and well-being states: First, to what extent do personality and well-being states covary within individuals? Second, to what extent do personality and well-being states influence one another within individuals? Finally, are these within-person relationships moderated by dispositional personality traits and well-being? Two experience sampling studies (N = 161 and N = 146) were conducted over two weeks. Across both studies all Big Five personality states were correlated with short term experiences of well-being within individuals. Individuals were more extraverted, emotionally stable, conscientious, agreeable and open in moments when they experienced higher well-being (greater self-esteem, life satisfaction, positive affect and less negative affect). Moreover, personality and well-being states dynamically influenced one another over time within individuals and these associations were not generally moderated by dispositional traits or well being. Behaviour and well-being are inter-connected within the context of the Big Five model of personality. This article is protected by copyright. All rights reserved. © 2018 Wiley Periodicals, Inc.

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

Improving Provisions for Organization, Housing, Financial Support and Accountability.

ERIC Educational Resources Information Center

Polley, John W.; Lamitie, Robert E.

This chapter provides insights into the solution of financial and governance problems that face big city education. The report identifies recent developments affecting big city education such as metropolitanism, regionalism, full State financing, revenue sharing, and reform of property taxation. The authors discuss (1) recent court cases affecting…

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…

Woodland successional phase effects vegetation recovery after prescribed fire

USDA-ARS?s Scientific Manuscript database

Piñon-juniper (Pinus-Juniperus L.) woodlands have expanded into big sagebrush (Artemisia tridentata Beetle) steppe of the western United States primarily as a result of reduced fire disturbances. Prescribed fire in post-settlement piñon-juniper woodlands has been increasingly employed to restore big...

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.

The North American Amphibian Monitoring Program. [abstract

USGS Publications Warehouse

Griffin, J.

1998-01-01

The North American Amphibian Monitoring Program has been under development for the past three years. The monitoring strategy for NAAMP has five main prongs: terrestrial salamander surveys, calling surveys, aquatic surveys, western surveys, and atlassing. Of these five, calling surveys were selected as one of the first implementation priorities due to their friendliness to volunteers of varying knowledge levels, relative low cost, and the fact that several groups had already pioneered the techniques involved. While some states and provinces had implemented calling surveys prior to NAAMP, like WI and IL, most states and provinces had little or no history of state/provincewide amphibian monitoring. Thus, the majority of calling survey programs were initiated in the past two years. To assess the progress of this pilot phase, a program review was conducted on the status of the NAAMP calling survey program, and the results of that review will be presented at the meeting. Topics to be discussed include: who is doing what where, extent of route coverage, the continuing random route discussions, quality assurance, strengths and weaknesses of calling surveys, reliability of data, and directions for the future. In addition, a brief overview of the DISPro project will be included. DISPro is a new amphibian monitoring program in National Parks, funded by the Demonstration of Intensive Sites Program (DISPro) through the EPA and NPS. It will begin this year at Big Bend and Shenandoah National Parks. The purpose of the DISPro Amphibian Project will be to investigate relationships between environmental factors and stressors and the distribution, abundance, and health of amphibians in these National Parks. At each Park, amphibian long-term monitoring protocols will be tested, distributions and abundance of amphibians will be mapped, and field research experiments will be conducted to examine stressor effects on amphibians (e.g., ultraviolet radiation, contaminants, acidification).

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.

Happy Now, Tired Later? Extraverted and Conscientious Behavior Are Related to Immediate Mood Gains, but to Later Fatigue.

PubMed

Leikas, Sointu; Ilmarinen, Ville-Juhani

2017-10-01

Experience sampling studies on Big Five-related behavior show that people display the whole spectrum of each trait in their daily behavior, and that desirable Big Five states-especially state Extraversion-are related to positive mood. However, other research lines suggest that extraverted and conscientious behavior may be mentally depleting. The present research examined this possibility by extending the time frame of the measured personality processes. A 12-day experience sampling study (N = 48; observations = 2,328) measured Big Five states, mood, stress, and fatigue five times a day. Extraverted and conscientious behavior were concurrently related to positive mood and lower fatigue, but to higher fatigue after a 3-hour delay. These relations were not moderated by personality traits. The relation between extraverted behavior and delayed fatigue was mediated by the number of people the person had encountered. Whether the person had a goal mediated the relation between conscientious behavior and delayed fatigue. Extraverted and conscientious behavior predict mental depletion after a 3-hour delay. The results help reconcile previous findings regarding the consequences of state Extraversion and provide novel information about the consequences of state Conscientiousness. © 2016 Wiley Periodicals, Inc.

PC Utilities: Small Programs with a Big Impact

ERIC Educational Resources Information Center

Baule, Steven

2004-01-01

The three utility commercial programs available on the Internet are like software packages purchased through a vendor or the Internet, shareware programs are developed by individuals and distributed via the Internet for a small fee to obtain the complete version of the product, and freeware programs are distributed via the Internet free of cost.…

Selecting sagebrush seed sources for restoration in a variable climate: ecophysiological variation among genotypes

USGS Publications Warehouse

Germino, Matthew J.

2012-01-01

Big sagebrush (Artemisia tridentata) communities dominate a large fraction of the United States and provide critical habitat for a number of wildlife species of concern. Loss of big sagebrush due to fire followed by poor restoration success continues to reduce ecological potential of this ecosystem type, particularly in the Great Basin. Choice of appropriate seed sources for restoration efforts is currently unguided due to knowledge gaps on genetic variation and local adaptation as they relate to a changing landscape. We are assessing ecophysiological responses of big sagebrush to climate variation, comparing plants that germinated from ~20 geographically distinct populations of each of the three subspecies of big sagebrush. Seedlings were previously planted into common gardens by US Forest Service collaborators Drs. B. Richardson and N. Shaw, (USFS Rocky Mountain Research Station, Provo, Utah and Boise, Idaho) as part of the Great Basin Native Plant Selection and Increase Project. Seed sources spanned all states in the conterminous Western United States. Germination, establishment, growth and ecophysiological responses are being linked to genomics and foliar palatability. New information is being produced to aid choice of appropriate seed sources by Bureau of Land Management and USFS field offices when they are planning seed acquisitions for emergency post-fire rehabilitation projects while considering climate variability and wildlife needs.

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…

Water-quality effects on phytoplankton species and density and trophic state indices at Big Base and Little Base Lakes, Little Rock Air Force Base, Arkansas, June through August, 2015

USGS Publications Warehouse

Driver, Lucas; Justus, Billy

2016-01-01

Big Base and Little Base Lakes are located on Little Rock Air Force Base, Arkansas, and their close proximity to a dense residential population and an active military/aircraft installation make the lakes vulnerable to water-quality degradation. The U.S. Geological Survey (USGS) conducted a study from June through August 2015 to investigate the effects of water quality on phytoplankton species and density and trophic state in Big Base and Little Base Lakes, with particular regard to nutrient concentrations. Nutrient concentrations, trophic-state indices, and the large part of the phytoplankton biovolume composed of cyanobacteria, indicate eutrophic conditions were prevalent for Big Base and Little Base Lakes, particularly in August 2015. Cyanobacteria densities and biovolumes measured in this study likely pose a low to moderate risk of adverse algal toxicity, and the high proportion of filamentous cyanobacteria in the lakes, in relation to other algal groups, is important from a fisheries standpoint because these algae are a poor food source for many aquatic taxa. In both lakes, total nitrogen to total phosphorus (N:P) ratios declined over the sampling period as total phosphorus concentrations increased relative to nitrogen concentrations. The N:P ratios in the August samples (20:1 and 15:1 in Big Base and Little Base Lakes, respectively) and other indications of eutrophic conditions are of concern and suggest that exposure of the two lakes to additional nutrients could cause unfavorable dissolved-oxygen conditions and increase the risk of cyanobacteria blooms and associated cyanotoxin issues.

Water-quality, phytoplankton, and trophic-status characteristics of Big Base and Little Base lakes, Little Rock Air Force Base, Arkansas, 2003-2004

USGS Publications Warehouse

Justus, B.G.

2005-01-01

Little Rock Air Force Base is the largest C-130 base in the Air Force and is the only C-130 training base in the Department of Defense. Little Rock Air Force Base is located in central Arkansas near the eastern edge of the Ouachita Mountains, near the Mississippi Alluvial Plain, and within the Arkansas Valley Ecoregion. Habitats include upland pine forests, upland deciduous forest, broad-leaved deciduous swamps, and two small freshwater lakes?Big Base Lake and Little Base Lake. Big Base and Little Base Lakes are used primarily for recreational fishing by base personnel and the civilian public. Under normal (rainfall) conditions, Big Base Lake has a surface area of approximately 39 acres while surface area of Little Base Lake is approximately 1 acre. Little Rock Air Force Base personnel are responsible for managing the fishery in these two lakes and since 1999 have started a nutrient enhancement program that involves sporadically adding fertilizer to Big Base Lake. As a means of determining the relations between water quality and primary production, Little Rock Air Force Base personnel have a need for biological (phytoplankton density), chemical (dissolved-oxygen and nutrient concentrations), and physical (water temperature and light transparency) data. To address these monitoring needs, the U.S. Geological Survey in cooperation with Little Rock Air Force Base, conducted a study to collect and analyze biological, chemical, and physical data. The U.S. Geological Survey sampled water quality in Big Base Lake and Little Base Lake on nine occasions from July 2003 through June 2004. Because of the difference in size, two sampling sites were established on Big Base Lake, while only one site was established on Little Base Lake. Lake profile data for Big Base Lake indicate that low dissolved- oxygen concentrations in the hypolimnion probably constrain most fish species to the upper 5-6 feet of depth during the summer stratification period. Dissolved-oxygen concentrations in Big Base Lake below a depth of 6 feet generally were less than 3 milligrams per liter for summer months that were sampled in 2003 and 2004. Some evidence indicates that phosphorus was limiting primary production during the sampling period. Dissolved nitrogen constituents frequently were detected in water samples (indicating availability) but dissolved phosphorus constituents-orthophosphorus and dissolved phosphorus-were not detected in any samples collected at the two lakes. The absence of dissolved phosphorus constituents and presence of total phosphorus indicates that all phosphorus was bound to suspended material (sediment particles and living organisms). Nitrogen:phosphorus ratios on most sampling occasions tended to be slightly higher than 16:1, which can be interpreted as further indication that phosphorus could be limiting primary production to some extent. An alkalinity of 20 milligrams per liter of calcium carbonate or higher is recommended to optimize nutrient availability and buffering capacity in recreational fishing lakes and ponds. Median values for water samples collected at the three sites ranged from 12-13 milligrams per liter of calcium carbonate. Alkalinities ranged from 9-60 milligrams per liter of calcium carbonate, but 13 of 17 samples collected at the deepest site had alkalinities less than 20 milligrams per liter of calcium carbonate. Results of three trophic-state indices, and a general trophic classification, as well as abundant green algae and large growths of blue-green algae indicate that Big Base Lake may be eutrophic. Trophic-state index values calculated using total phosphorus, chlorophyll a, and Secchi disc measurements from both lakes generally exceeded criteria at which lakes are considered to be eutrophic. A second method of determining lake trophic status-the general trophic classification-categorized the three sampling sites as mesotrophic or eutrophic. Green algae were found to be in abundance throughout mos

Paleontologic investigations at Big Bone Lick State Park, Kentucky: A preliminary report

USGS Publications Warehouse

Schultz, C.B.; Tanner, L.G.; Whitmore, F.C.; Ray, L.L.; Crawford, E.C.

1963-01-01

The Big Bone Lick area in Kentucky, the first widely known collecting locality for vertebrate fossils in North America, is being investigated for further faunal and geologic evidence. Mammal bones, ranging in age from Wisconsin (Tazewell?) to Recent, were recovered in 1962 from four different faunal zones in two terrace fills.

Wyoming big sagebrush: Efforts towards development of target plants for restoration

Treesearch

Kayla R. Herriman

2009-01-01

Wyoming big sagebrush (Artemisia tridentata Nutt. ssp. wyomingensis) is a dominant shrub throughout much of the interior western United States. It is a key component of sagebrush steppe ecosystems, which have been degraded due to European settlement, improper land use, and changing fire regimes resulting from the invasion of exotic...

Region-wide ecological responses of arid Wyoming big sagebrush communities to fuel treatments

Treesearch

David A. Pyke; Scott E. Shaff; Andrew I. Lindgren; Eugene W. Schupp; Paul S. Doescher; Jeanne C. Chambers; Jeffrey S. Burnham; Manuela M. Huso

2014-01-01

If arid sagebrush ecosystems lack resilience to disturbances or resistance to annual invasives, then alternative successional states dominated by annual invasives, especially cheatgrass (Bromus tectorum L.), are likely after fuel treatments. We identified six Wyoming big sagebrush (Artemisia tridentata ssp. wyomingensis Beetle & Young) locations (152-381 mm...

Big Read, Big ROI

ERIC Educational Resources Information Center

Dempsey, Beth

2008-01-01

In 2004, the National Endowment for the Arts (NEA) released a grim report on the state of literary reading in America. "Reading at Risk" (www.nea.gov/pub/ReadingAtRisk.pdf) detailed a dramatic decline in recreational reading across all segments of the American population--young and old, black, brown, and white. It also included the projected…

A decentralized training algorithm for Echo State Networks in distributed big data applications.

PubMed

Scardapane, Simone; Wang, Dianhui; Panella, Massimo

2016-06-01

The current big data deluge requires innovative solutions for performing efficient inference on large, heterogeneous amounts of information. Apart from the known challenges deriving from high volume and velocity, real-world big data applications may impose additional technological constraints, including the need for a fully decentralized training architecture. While several alternatives exist for training feed-forward neural networks in such a distributed setting, less attention has been devoted to the case of decentralized training of recurrent neural networks (RNNs). In this paper, we propose such an algorithm for a class of RNNs known as Echo State Networks. The algorithm is based on the well-known Alternating Direction Method of Multipliers optimization procedure. It is formulated only in terms of local exchanges between neighboring agents, without reliance on a coordinating node. Additionally, it does not require the communication of training patterns, which is a crucial component in realistic big data implementations. Experimental results on large scale artificial datasets show that it compares favorably with a fully centralized implementation, in terms of speed, efficiency and generalization accuracy. Copyright © 2015 Elsevier Ltd. All rights reserved.

Big data analysis framework for healthcare and social sectors in Korea.

PubMed

Song, Tae-Min; Ryu, Seewon

2015-01-01

We reviewed applications of big data analysis of healthcare and social services in developed countries, and subsequently devised a framework for such an analysis in Korea. We reviewed the status of implementing big data analysis of health care and social services in developed countries, and strategies used by the Ministry of Health and Welfare of Korea (Government 3.0). We formulated a conceptual framework of big data in the healthcare and social service sectors at the national level. As a specific case, we designed a process and method of social big data analysis on suicide buzz. Developed countries (e.g., the United States, the UK, Singapore, Australia, and even OECD and EU) are emphasizing the potential of big data, and using it as a tool to solve their long-standing problems. Big data strategies for the healthcare and social service sectors were formulated based on an ICT-based policy of current government and the strategic goals of the Ministry of Health and Welfare. We suggest a framework of big data analysis in the healthcare and welfare service sectors separately and assigned them tentative names: 'health risk analysis center' and 'integrated social welfare service network'. A framework of social big data analysis is presented by applying it to the prevention and proactive detection of suicide in Korea. There are some concerns with the utilization of big data in the healthcare and social welfare sectors. Thus, research on these issues must be conducted so that sophisticated and practical solutions can be reached.

Big-deep-smart data in imaging for guiding materials design.

PubMed

Kalinin, Sergei V; Sumpter, Bobby G; Archibald, Richard K

2015-10-01

Harnessing big data, deep data, and smart data from state-of-the-art imaging might accelerate the design and realization of advanced functional materials. Here we discuss new opportunities in materials design enabled by the availability of big data in imaging and data analytics approaches, including their limitations, in material systems of practical interest. We specifically focus on how these tools might help realize new discoveries in a timely manner. Such methodologies are particularly appropriate to explore in light of continued improvements in atomistic imaging, modelling and data analytics methods.

Big-deep-smart data in imaging for guiding materials design

NASA Astrophysics Data System (ADS)

Kalinin, Sergei V.; Sumpter, Bobby G.; Archibald, Richard K.

2015-10-01

Harnessing big data, deep data, and smart data from state-of-the-art imaging might accelerate the design and realization of advanced functional materials. Here we discuss new opportunities in materials design enabled by the availability of big data in imaging and data analytics approaches, including their limitations, in material systems of practical interest. We specifically focus on how these tools might help realize new discoveries in a timely manner. Such methodologies are particularly appropriate to explore in light of continued improvements in atomistic imaging, modelling and data analytics methods.

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.

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 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...

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...

HARNESSING BIG DATA FOR PRECISION MEDICINE: INFRASTRUCTURES AND APPLICATIONS.

PubMed

Yu, Kun-Hsing; Hart, Steven N; Goldfeder, Rachel; Zhang, Qiangfeng Cliff; Parker, Stephen C J; Snyder, Michael

2017-01-01

Precision medicine is a health management approach that accounts for individual differences in genetic backgrounds and environmental exposures. With the recent advancements in high-throughput omics profiling technologies, collections of large study cohorts, and the developments of data mining algorithms, big data in biomedicine is expected to provide novel insights into health and disease states, which can be translated into personalized disease prevention and treatment plans. However, petabytes of biomedical data generated by multiple measurement modalities poses a significant challenge for data analysis, integration, storage, and result interpretation. In addition, patient privacy preservation, coordination between participating medical centers and data analysis working groups, as well as discrepancies in data sharing policies remain important topics of discussion. In this workshop, we invite experts in omics integration, biobank research, and data management to share their perspectives on leveraging big data to enable precision medicine.Workshop website: http://tinyurl.com/PSB17BigData; HashTag: #PSB17BigData.

Big data and clinicians: a review on the state of the science.

PubMed

Wang, Weiqi; Krishnan, Eswar

2014-01-17

In the past few decades, medically related data collection saw a huge increase, referred to as big data. These huge datasets bring challenges in storage, processing, and analysis. In clinical medicine, big data is expected to play an important role in identifying causality of patient symptoms, in predicting hazards of disease incidence or reoccurrence, and in improving primary-care quality. The objective of this review was to provide an overview of the features of clinical big data, describe a few commonly employed computational algorithms, statistical methods, and software toolkits for data manipulation and analysis, and discuss the challenges and limitations in this realm. We conducted a literature review to identify studies on big data in medicine, especially clinical medicine. We used different combinations of keywords to search PubMed, Science Direct, Web of Knowledge, and Google Scholar for literature of interest from the past 10 years. This paper reviewed studies that analyzed clinical big data and discussed issues related to storage and analysis of this type of data. Big data is becoming a common feature of biological and clinical studies. Researchers who use clinical big data face multiple challenges, and the data itself has limitations. It is imperative that methodologies for data analysis keep pace with our ability to collect and store data.

Limnology of Big Lake, south-central Alaska, 1983-84

USGS Publications Warehouse

Woods, Paul F.

1992-01-01

The limnological characteristics and trophic state of Big Lake in south-central Alaska were determined from the results of an intensive study during 1983-84. The study was begun in response to concern over the potential for eutrophication of Big Lake, which has experienced substantial residential development and recreational use because of its proximity to Anchorage. The east and west basins of the 1,213 square-hectometer lake were each visited 36 times during the 2-year study to obtain a wide variety of physical, chemical, and biological data. During 1984, an estimate was made of the lake's annual primary production. Big Lake was classified as oligotrophic on the basis of its annual mean values for total phosphorus (9.5 micrograms per liter), total nitrogen (209 micrograms per liter), chlorophyll-a (2.5 micrograms per liter), secchi-disc transparency (6.3 meters), and its mean daily integral primary production of 81.1 milligrams of carbon fixed per square meter. The lake was, however, uncharacteristic of oligotrophic lakes in that a severe dissolved-oxygen deficit developed within the hypolimnion during summer stratification and under winter ice cover. The summer dissolved-oxygen deficit resulted from the combination of strong and persistent thermal stratification, which developed within 1 week of the melting of the lake's ice cover in May, and the failure of the spring circulation to fully reaerate the hypolimnion. The autumn circulation did reaerate the entire water column, but the ensuing 6 months of ice and snow cover prevented atmospheric reaeration of the water column and led to development of the winter dissolved-oxygen deficit. The anoxic conditions that eventually developed near the lake bottom allowed the release of nutrients from the bottom sediments and facilitated ammonification reactions. These processes yielded hypolimnetic concentrations of nitrogen and phosphorus compounds, which were much larger than the oligotrophic concentrations measured within the epilimnion. An analysis of nitrogen-to-phosphorus ratios showed that nitrogen was the nutrient most likely to limit phytoplankton growth during the summer. Although mean chlorophyll-a concentrations were at oligotrophic levels, concentrations did peak at 46.5 micrograms per liter in the east basin. During each year and in both basins, the peak chlorophyll-a concentrations were measured within the hypolimnion because the euphotic zone commonly was deeper than the epilimnion during the summer. The annual integral primary production of Big Lake in 1984 was 29.6 grams of carbon fixed per square meter with about 90 percent of that produced during May through October. During this time period, the lake received 76 percent of its annual input of solar irradiance. Monthly integral primary production, in milligrams of carbon fixed per square meter, ranged from 1.5 in January to 7,050 in July. When compared with the range of annual integral primary production measured in 50 International Biological Program lakes throughout the world, Big Lake had a low value of annual integral primary production. The results of this study lend credence to the concerns about the potential eutrophication of Big Lake. Increases in the supply of oxygen-demanding materials to Big Lake could worsen the hypolimnetic dissolved-oxygen deficit and possibly shift the lake's trophic state toward mesotrophy or eutrophy.

Multiverse Space-Antispace Dual Calabi-Yau `Exciplex-Zitterbewegung' Particle Creation

NASA Astrophysics Data System (ADS)

Amoroso, Richard L.

Modeling the `creation/emergence' of matter from spacetime is as old as modern cosmology itself and not without controversy within each model such as Static, Steady-state, Big Bang or Multiverse Continuous-State. In this paper we present only a brief primitive introduction to a new form of `Exciplex-Zitterbewegung' dual space-antispace vacuum Particle Creation applicable especially to Big Bang alternatives which are well-known but ignored; Hubble discovered `Redshift' not a Doppler expansion of the universe which remains the currently popular interpretation. Holographic Anthropic Multiverse cosmology provides viable alternatives to all seemingly sacrosanct pillars of the Big Bang. A model for Multiverse Space-Antispace Dual Calabi-Yau `Exciplex-Zitterbewegung' particle creation has only become possible by incorporating the additional degrees of freedom provided by the capacity complex dimensional extended Yang-Mills Kaluza-Klein correspondence provides.

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…

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 and residential mobility: a state-level analysis of the USA.

PubMed

McCann, Stewart J H

2015-01-01

Relations of the state-aggregated Big Five personality scores of 619,397 residents to four 2005 state-level residential mobility criteria were examined with the 50 states as cases. Multiple regression controlling for five state demographic variables showed (a) higher state neuroticism was strongly associated with lower mobility, lower same-county mobility, and lower between-county mobility; (b) higher state extraversion was associated with lower mobility and lower same-county mobility, but only with neuroticism and/or conscientiousness controlled; and (c) conscientiousness was related to same-residence, same-county, and different-county mobility, but only without demographic variables controlled. Discussion is grounded in the dangers of cross-level speculation and the potential of a basic assumption of geographical psychology that an area's aggregate position on a dispositional variable is associated there with behavioral and psychological tendencies related to that variable.

Cold hardiness in Wyoming big sagebrush seedlings: implications for nursery production and outplanting

Treesearch

Kayla R. Herriman; Anthony S. Davis

2012-01-01

Throughout much of the interior western United States, Wyoming big sagebrush (Artemisia tridentata ssp. wyomingensis) is a keystone species, serving an important ecological role in sagebrush steppe and Great Basin sagebrush vegetation types (Lysne 2005, Lambrecht et al. 2007). Over the past century, these ecosystems have been degraded by fire, invasive species, and...

Distinct Lineage of Vesiculovirus from Big Brown Bats, United States

PubMed Central

Driscoll, Cindy; Carlos, Maria Paz; Prioleau, Algernon; Schmieder, Robert; Dwivedi, Bhakti; Wong, Jakk; Cha, Yunhee; Head, Steven; Breitbart, Mya; Delwart, Eric

2013-01-01

We identified a novel rhabdovirus, American bat vesiculovirus, from postmortem tissue samples from 120 rabies-negative big brown bats with a history of human contact. Five percent of the tested bats were infected with this virus. The extent of zoonotic exposure and possible health effects in humans from this virus are unknown. PMID:24274823

Big City Schools in America: The Views of Superintendents and School Board Presidents.

ERIC Educational Resources Information Center

Kennedy, Joseph C.

Attitudes of the superintendents and school board officials of 25 major cities concerning the operation of their schools were determined. In lengthy discussions, these officials observed that big city schools need massive financial assistance from State and Federal governments, since the local property tax as a base is inadequate, and because the…

Genetics, the Big Five, and the Tendency to Be Self-Employed

ERIC Educational Resources Information Center

Shane, Scott; Nicolaou, Nicos; Cherkas, Lynn; Spector, Tim D.

2010-01-01

We applied multivariate genetics techniques to a sample of 3,412 monozygotic and dizygotic twins from the United Kingdom and 1,300 monozygotic and dizygotic twins from the United States to examine whether genetic factors account for part of the covariance between the Big Five personality characteristics and the tendency to be an entrepreneur. We…

Development of a United States-Mexico Emissions Inventory for the Big Bend Regional Aerosol and Visibility Observational (BRAVO) Study.

PubMed

Kuhns, Hampden; Knipping, Eladio M; Vukovich, Jeffrey M

2005-05-01

The Big Bend Regional Aerosol and Visibility Observational (BRAVO) Study was commissioned to investigate the sources of haze at Big Bend National Park in southwest Texas. The modeling domain of the BRAVO Study includes most of the continental United States and Mexico. The BRAVO emissions inventory was constructed from the 1999 National Emission Inventory for the United States, modified to include finer-resolution data for Texas and 13 U.S. states in close proximity. The first regional-scale Mexican emissions inventory designed for air-quality modeling applications was developed for 10 northern Mexican states, the Tula Industrial Park in the state of Hidalgo, and the Popocatépetl volcano in the state of Puebla. Emissions data were compiled from numerous sources, including the U.S. Environmental Protection Agency (EPA), the Texas Natural Resources Conservation Commission (now Texas Commission on Environmental Quality), the Eastern Research Group, the Minerals Management Service, the Instituto Nacional de Ecología, and the Instituto Nacional de Estadistica Geografía y Informática. The inventory includes emissions for CO, nitrogen oxides, sulfur dioxide, volatile organic compounds (VOCs), ammonia, particulate matter (PM) < 10 microm in aerodynamic diameter, and PM < 2.5 microm in aerodynamic diameter. Wind-blown dust and biomass burning were not included in the inventory, although high concentrations of dust and organic PM attributed to biomass burning have been observed at Big Bend National Park. The SMOKE modeling system was used to generate gridded emissions fields for use with the Regional Modeling System for Aerosols and Deposition (REMSAD) and the Community Multiscale Air Quality model modified with the Model of Aerosol Dynamics, Reaction, Ionization and Dissolution (CMAQ-MADRID). The compilation of the inventory, supporting model input data, and issues encountered during the development of the inventory are documented. A comparison of the BRAVO emissions inventory for Mexico with other emerging Mexican emission inventories illustrates their uncertainty.

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…

Development of a United States - Mexico emissions inventory for the Big Bend Regional Aerosol and Visibility Observational (BRAVO) Study

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

Hampden Kuhns; Eladio M. Knipping; Jeffrey M. Vukovich,

2005-05-01

The Big Bend Regional Aerosol and Visibility Observational (BRAVO) Study investigated the sources of haze at Big Bend National Park in southwest Texas. The modeling domain includes most of the continental United States and Mexico. The BRAVO emissions inventory was constructed from the 1999 National Emission Inventory for the United States, modified to include finer-resolution data for Texas and 13 U.S. states in close proximity. The inventory includes emissions for CO, nitrogen oxides, sulfur dioxide, volatile organic compounds (VOCs), ammonia, particulate matter (PM) {lt}10 {mu}m in aerodynamic diameter, and PM {lt}2.5 {mu}m in aerodynamic diameter. The SMOKE modeling system wasmore » used to generate gridded emissions fields for use with the Regional Modeling System for Aerosols and Deposition (REMSAD) and the Community Multiscale Air Quality model modified with the Model of Aerosol Dynamics, Reaction, Ionization and Dissolution (CMAQ-MADRID). The compilation of the inventory, supporting model input data, and issues encountered during the development of the inventory are documented. A comparison of the BRAVO emissions inventory for Mexico with other emerging Mexican emission inventories illustrates their uncertainty. 65 refs., 4 figs., 9 tabs.« less

Big Data Analysis Framework for Healthcare and Social Sectors in Korea

PubMed Central

Song, Tae-Min

2015-01-01

Objectives We reviewed applications of big data analysis of healthcare and social services in developed countries, and subsequently devised a framework for such an analysis in Korea. Methods We reviewed the status of implementing big data analysis of health care and social services in developed countries, and strategies used by the Ministry of Health and Welfare of Korea (Government 3.0). We formulated a conceptual framework of big data in the healthcare and social service sectors at the national level. As a specific case, we designed a process and method of social big data analysis on suicide buzz. Results Developed countries (e.g., the United States, the UK, Singapore, Australia, and even OECD and EU) are emphasizing the potential of big data, and using it as a tool to solve their long-standing problems. Big data strategies for the healthcare and social service sectors were formulated based on an ICT-based policy of current government and the strategic goals of the Ministry of Health and Welfare. We suggest a framework of big data analysis in the healthcare and welfare service sectors separately and assigned them tentative names: 'health risk analysis center' and 'integrated social welfare service network'. A framework of social big data analysis is presented by applying it to the prevention and proactive detection of suicide in Korea. Conclusions There are some concerns with the utilization of big data in the healthcare and social welfare sectors. Thus, research on these issues must be conducted so that sophisticated and practical solutions can be reached. PMID:25705552

Reach-scale characterization of large woody debris in a low-gradient, Midwestern U.S.A. river system

NASA Astrophysics Data System (ADS)

Martin, Derek J.; Pavlowsky, Robert T.; Harden, Carol P.

2016-06-01

Addition of large woody debris (LWD) to rivers has increasingly become a popular stream restoration strategy, particularly in river systems of the Midwestern United States. However, our knowledge of LWD dynamics is mostly limited to high gradient montane river systems, or coastal river systems. The LWD-related management of low-gradient, Midwestern river systems is thus largely based on higher gradient analogs of LWD dynamics. This research characterizes fluvial wood loads and investigates the relationships between fluvial wood, channel morphology, and sediment deposition in a relatively low-gradient, semiconfined, alluvial river. The LWD and channel morphology were surveyed at nine reaches along the Big River in southeastern Missouri to investigate those relationships in comparison to other regions. Wood loads in the Big River are low (3-114 m3/100 m) relative to those of higher gradient river systems of the Pacific Northwest, but high relative to lower-gradient river systems of the Eastern United States. Wood characteristics such as size and orientation suggest that the dominant LWD recruitment mechanism in the Big River is bank erosion. Also, ratios of wood geometry to channel geometry show that the Big River maintains a relatively high wood transport capacity for most of its length. Although LWD creates sites for sediment storage, the overall impact on reach-scale sediment storage in the Big River is low (< 4.2% of total in-channel storage). However, wood loads, and thus opportunities for sediment storage, have the potential to grow in the future as Midwestern riparian forests mature. This study represents the first of its kind within this particular type of river system and within this region and thus serves as a basis for understanding fluvial wood dynamics in low-gradient river systems of the Midwestern United States.

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

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.

Particle physics catalysis of thermal big bang nucleosynthesis.

PubMed

Pospelov, Maxim

2007-06-08

We point out that the existence of metastable, tau>10(3) s, negatively charged electroweak-scale particles (X-) alters the predictions for lithium and other primordial elemental abundances for A>4 via the formation of bound states with nuclei during big bang nucleosynthesis. In particular, we show that the bound states of X- with helium, formed at temperatures of about T=10(8) K, lead to the catalytic enhancement of 6Li production, which is 8 orders of magnitude more efficient than the standard channel. In particle physics models where subsequent decay of X- does not lead to large nonthermal big bang nucleosynthesis effects, this directly translates to the level of sensitivity to the number density of long-lived X- particles (tau>10(5) s) relative to entropy of nX-/s less, approximately <3x10(-17), which is one of the most stringent probes of electroweak scale remnants known to date.

Big Data and Clinicians: A Review on the State of the Science

PubMed Central

Wang, Weiqi

2014-01-01

Background In the past few decades, medically related data collection saw a huge increase, referred to as big data. These huge datasets bring challenges in storage, processing, and analysis. In clinical medicine, big data is expected to play an important role in identifying causality of patient symptoms, in predicting hazards of disease incidence or reoccurrence, and in improving primary-care quality. Objective The objective of this review was to provide an overview of the features of clinical big data, describe a few commonly employed computational algorithms, statistical methods, and software toolkits for data manipulation and analysis, and discuss the challenges and limitations in this realm. Methods We conducted a literature review to identify studies on big data in medicine, especially clinical medicine. We used different combinations of keywords to search PubMed, Science Direct, Web of Knowledge, and Google Scholar for literature of interest from the past 10 years. Results This paper reviewed studies that analyzed clinical big data and discussed issues related to storage and analysis of this type of data. Conclusions Big data is becoming a common feature of biological and clinical studies. Researchers who use clinical big data face multiple challenges, and the data itself has limitations. It is imperative that methodologies for data analysis keep pace with our ability to collect and store data. PMID:25600256

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.

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.

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…

Silviculture for quality forests: a lumber and veneer perspective

Treesearch

Jack Rajala

2004-01-01

To the layperson (and sometimes even among professionals) there?s a perception that forests are about big, old trees. A century ago certainly the forests of the Lake States consisted of large acreages of stands of mature trees that were both old and big. And even though there are remnant stands present today, settlement, development, and harvesting have caused numerous...

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.

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

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.

Brazil’s Market for Trading Forest Certificates

PubMed Central

Soares-Filho, Britaldo; Rajão, Raoni; Merry, Frank; Rodrigues, Hermann; Davis, Juliana; Lima, Letícia; Macedo, Marcia; Coe, Michael; Carneiro, Arnaldo; Santiago, Leonardo

2016-01-01

Brazil faces an enormous challenge to implement its revised Forest Code. Despite big losses for the environment, the law introduces new mechanisms to facilitate compliance and foster payment for ecosystem services (PES). The most promising of these is a market for trading forest certificates (CRAs) that allows landowners to offset their restoration obligations by paying for maintaining native vegetation elsewhere. We analyzed the economic potential for the emerging CRA market in Brazil and its implications for PES programs. Results indicate a potential market for trading 4.2 Mha of CRAs with a gross value of US$ 9.2±2.4 billion, with main regional markets forming in the states of Mato Grosso and São Paulo. This would be the largest market for trading forests in the world. Overall, the potential supply of CRAs in Brazilian states exceeds demand, creating an opportunity for additional PES programs to use the CRA market. This expanded market could provide not only monetary incentives to conserve native vegetation, but also environmental co-benefits by fostering PES programs focused on biodiversity, water conservation, and climate regulation. Effective implementation of the Forest Code will be vital to the success of this market and this hurdle brings uncertainty into the market. Long-term commitment, both within Brazil and abroad, will be essential to overcome the many challenges ahead. PMID:27050309

Brazil's Market for Trading Forest Certificates.

PubMed

Soares-Filho, Britaldo; Rajão, Raoni; Merry, Frank; Rodrigues, Hermann; Davis, Juliana; Lima, Letícia; Macedo, Marcia; Coe, Michael; Carneiro, Arnaldo; Santiago, Leonardo

2016-01-01

Brazil faces an enormous challenge to implement its revised Forest Code. Despite big losses for the environment, the law introduces new mechanisms to facilitate compliance and foster payment for ecosystem services (PES). The most promising of these is a market for trading forest certificates (CRAs) that allows landowners to offset their restoration obligations by paying for maintaining native vegetation elsewhere. We analyzed the economic potential for the emerging CRA market in Brazil and its implications for PES programs. Results indicate a potential market for trading 4.2 Mha of CRAs with a gross value of US$ 9.2±2.4 billion, with main regional markets forming in the states of Mato Grosso and São Paulo. This would be the largest market for trading forests in the world. Overall, the potential supply of CRAs in Brazilian states exceeds demand, creating an opportunity for additional PES programs to use the CRA market. This expanded market could provide not only monetary incentives to conserve native vegetation, but also environmental co-benefits by fostering PES programs focused on biodiversity, water conservation, and climate regulation. Effective implementation of the Forest Code will be vital to the success of this market and this hurdle brings uncertainty into the market. Long-term commitment, both within Brazil and abroad, will be essential to overcome the many challenges ahead.

Investing in big ideas: utilisation and cost of Medicare Allied Health services in Australia under the Chronic Disease Management initiative in primary care.

PubMed

Cant, Robyn P; Foster, Michele M

2011-11-01

To critically examine utilisation of the 13 allied health services provided through Medicare Chronic Disease Management program and related general practitioner (GP) care planning initiatives. Statistics generated from national billing data from July 2005 to June 2009 were extracted from Medicare data and compared by profession, State or Territory and population. Most services grew over 4 years although nationally consistent service levels were not found for any allied health provider profession. On referral from GPs, podiatry, physiotherapy and dietetics provided most services (82%) in 2008-09. Professions had unique patterns of referral instanced by age range and sex of clientele. Wide variation was apparent in per capita utilisation of allied health services by State or Territory; some with far less than average national use and others with high use. Annual number of GP Management Plans or Team Care Arrangements was low (mean: ≤22 per GP in 2008-09), indicating low use of care planning. Inequality of accessibility for patients was apparent. Five years into the program, a review of Medicare Allied Health CDM policy is warranted. Implications. Research and evaluation is needed to identify whether the program is meeting the needs of GPs, allied health providers and chronic disease patients.

Crowd-Funded Micro-Grants for Genomics and “Big Data”: An Actionable Idea Connecting Small (Artisan) Science, Infrastructure Science, and Citizen Philanthropy

PubMed Central

Badr, Kamal F.; Dove, Edward S.; Endrenyi, Laszlo; Geraci, Christy Jo; Hotez, Peter J.; Milius, Djims; Neves-Pereira, Maria; Pang, Tikki; Rotimi, Charles N.; Sabra, Ramzi; Sarkissian, Christineh N.; Srivastava, Sanjeeva; Tims, Hesther; Zgheib, Nathalie K.; Kickbusch, Ilona

2013-01-01

Abstract Biomedical science in the 21st century is embedded in, and draws from, a digital commons and “Big Data” created by high-throughput Omics technologies such as genomics. Classic Edisonian metaphors of science and scientists (i.e., “the lone genius” or other narrow definitions of expertise) are ill equipped to harness the vast promises of the 21st century digital commons. Moreover, in medicine and life sciences, experts often under-appreciate the important contributions made by citizen scholars and lead users of innovations to design innovative products and co-create new knowledge. We believe there are a large number of users waiting to be mobilized so as to engage with Big Data as citizen scientists—only if some funding were available. Yet many of these scholars may not meet the meta-criteria used to judge expertise, such as a track record in obtaining large research grants or a traditional academic curriculum vitae. This innovation research article describes a novel idea and action framework: micro-grants, each worth $1000, for genomics and Big Data. Though a relatively small amount at first glance, this far exceeds the annual income of the “bottom one billion”—the 1.4 billion people living below the extreme poverty level defined by the World Bank ($1.25/day). We describe two types of micro-grants. Type 1 micro-grants can be awarded through established funding agencies and philanthropies that create micro-granting programs to fund a broad and highly diverse array of small artisan labs and citizen scholars to connect genomics and Big Data with new models of discovery such as open user innovation. Type 2 micro-grants can be funded by existing or new science observatories and citizen think tanks through crowd-funding mechanisms described herein. Type 2 micro-grants would also facilitate global health diplomacy by co-creating crowd-funded micro-granting programs across nation-states in regions facing political and financial instability, while sharing similar disease burdens, therapeutics, and diagnostic needs. We report the creation of ten Type 2 micro-grants for citizen science and artisan labs to be administered by the nonprofit Data-Enabled Life Sciences Alliance International (DELSA Global, Seattle). Our hope is that these micro-grants will spur novel forms of disruptive innovation and genomics translation by artisan scientists and citizen scholars alike. We conclude with a neglected voice from the global health frontlines, the American University of Iraq in Sulaimani, and suggest that many similar global regions are now poised for micro-grant enabled collective innovation to harness the 21st century digital commons. PMID:23574338

Crowd-funded micro-grants for genomics and "big data": an actionable idea connecting small (artisan) science, infrastructure science, and citizen philanthropy.

PubMed

Özdemir, Vural; Badr, Kamal F; Dove, Edward S; Endrenyi, Laszlo; Geraci, Christy Jo; Hotez, Peter J; Milius, Djims; Neves-Pereira, Maria; Pang, Tikki; Rotimi, Charles N; Sabra, Ramzi; Sarkissian, Christineh N; Srivastava, Sanjeeva; Tims, Hesther; Zgheib, Nathalie K; Kickbusch, Ilona

2013-04-01

Biomedical science in the 21(st) century is embedded in, and draws from, a digital commons and "Big Data" created by high-throughput Omics technologies such as genomics. Classic Edisonian metaphors of science and scientists (i.e., "the lone genius" or other narrow definitions of expertise) are ill equipped to harness the vast promises of the 21(st) century digital commons. Moreover, in medicine and life sciences, experts often under-appreciate the important contributions made by citizen scholars and lead users of innovations to design innovative products and co-create new knowledge. We believe there are a large number of users waiting to be mobilized so as to engage with Big Data as citizen scientists-only if some funding were available. Yet many of these scholars may not meet the meta-criteria used to judge expertise, such as a track record in obtaining large research grants or a traditional academic curriculum vitae. This innovation research article describes a novel idea and action framework: micro-grants, each worth $1000, for genomics and Big Data. Though a relatively small amount at first glance, this far exceeds the annual income of the "bottom one billion"-the 1.4 billion people living below the extreme poverty level defined by the World Bank ($1.25/day). We describe two types of micro-grants. Type 1 micro-grants can be awarded through established funding agencies and philanthropies that create micro-granting programs to fund a broad and highly diverse array of small artisan labs and citizen scholars to connect genomics and Big Data with new models of discovery such as open user innovation. Type 2 micro-grants can be funded by existing or new science observatories and citizen think tanks through crowd-funding mechanisms described herein. Type 2 micro-grants would also facilitate global health diplomacy by co-creating crowd-funded micro-granting programs across nation-states in regions facing political and financial instability, while sharing similar disease burdens, therapeutics, and diagnostic needs. We report the creation of ten Type 2 micro-grants for citizen science and artisan labs to be administered by the nonprofit Data-Enabled Life Sciences Alliance International (DELSA Global, Seattle). Our hope is that these micro-grants will spur novel forms of disruptive innovation and genomics translation by artisan scientists and citizen scholars alike. We conclude with a neglected voice from the global health frontlines, the American University of Iraq in Sulaimani, and suggest that many similar global regions are now poised for micro-grant enabled collective innovation to harness the 21(st) century digital commons.

Big-BOE: Fusing Spanish Official Gazette with Big Data Technology.

PubMed

Basanta-Val, Pablo; Sánchez-Fernández, Luis

2018-06-01

The proliferation of new data sources, stemmed from the adoption of open-data schemes, in combination with an increasing computing capacity causes the inception of new type of analytics that process Internet of things with low-cost engines to speed up data processing using parallel computing. In this context, the article presents an initiative, called BIG-Boletín Oficial del Estado (BOE), designed to process the Spanish official government gazette (BOE) with state-of-the-art processing engines, to reduce computation time and to offer additional speed up for big data analysts. The goal of including a big data infrastructure is to be able to process different BOE documents in parallel with specific analytics, to search for several issues in different documents. The application infrastructure processing engine is described from an architectural perspective and from performance, showing evidence on how this type of infrastructure improves the performance of different types of simple analytics as several machines cooperate.

Maybe Some Big Ground Shakes One Hundred Years Ago in a Big State Near the Ocean Were Caused by People

NASA Astrophysics Data System (ADS)

Hough, S. E.; Tsai, V. C.; Walker, R.; Page, M. T.; Aminzadeh, F.

2016-12-01

Sometimes people put water deep into the ground to make it go away and sometimes this causes the ground to shake. Sometimes people take other stuff out of the ground because a lot of people buy this stuff to power cars. Usually when people take this stuff out of the ground it does not cause ground shakes. At least this is what we used to believe. For our study, we looked at ground shakes that caused houses to fall down almost 100 years ago in a big state near the water. They were large ground shakes. One was close to a big city where people make movies and one was a really big shake in another city in the same state. We asked the question, is it possible that these ground shakes happened because people took stuff out of the ground? We considered the places where the ground shakes happened and the places where people took a lot of stuff out of the ground. We show there is a pretty good chance that taking stuff out of the ground caused some pretty big ground shakes. We explain how ground shakes can happen when people take stuff out of the ground. Ground shakes happen on things called faults. When you take stuff out of the ground, usually that makes it harder for the fault to move. This is a good thing. But when the stuff is still deep under the ground, sometimes it also pushes against faults that are close by and helps keep them from moving. So when you take stuff out, it does not push on faults as much, and so sometimes that close-by fault can move and cause ground shakes. We use a computer to show that our idea can explain some of what we see. The idea is not perfect but we think it is a pretty good idea. Our idea explains why it does not usually cause ground shakes when people take stuff out of the ground, but sometimes big ground shakes happen. Our idea suggests that ground shakes caused by people can sometimes be very large. So if people take stuff out of the ground or put stuff in the ground, they need to know if there are faults close by.

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.

The space race and biodefense: lessons from NASA about big science and the role of medical informatics.

PubMed

Wagner, Michael M

2002-01-01

The events that followed the launch of Sputnik on Oct 4, 1957, provide a metaphor for the events that are following the first bioterroristic case of pulmonary anthrax in the United States. This paper uses that metaphor to elucidate the nature of the task ahead and to suggest questions such as, Can the goals of the biodefense effort be formulated as concisely and concretely as the goal of the space program? Can we measure success in biodefense as we did for the space project? What are the existing resources that are the equivalents of propulsion systems and rocket engineers that can be applied to the problems of biodefense?

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…

"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…

Does loop quantum cosmology replace the big rip singularity by a non-singular bounce?

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

Haro, Jaume de, E-mail: jaime.haro@upc.edu

It is stated that holonomy corrections in loop quantum cosmology introduce a modification in Friedmann's equation which prevent the big rip singularity. Recently in [1] it has been proved that this modified Friedmann equation is obtained in an inconsistent way, what means that the results deduced from it, in particular the big rip singularity avoidance, are not justified. The problem is that holonomy corrections modify the gravitational part of the Hamiltonian of the system leading, after Legendre's transformation, to a non covariant Lagrangian which is in contradiction with one of the main principles of General Relativity. A more consistent waymore » to deal with the big rip singularity avoidance is to disregard modification in the gravitational part of the Hamiltonian, and only consider inverse volume effects [2]. In this case we will see that, not like the big bang singularity, the big rip singularity survives in loop quantum cosmology. Another way to deal with the big rip avoidance is to take into account geometric quantum effects given by the the Wheeler-De Witt equation. In that case, even though the wave packets spread, the expectation values satisfy the same equations as their classical analogues. Then, following the viewpoint adopted in loop quantum cosmology, one can conclude that the big rip singularity survives when one takes into account these quantum effects. However, the spreading of the wave packets prevents the recover of the semiclassical time, and thus, one might conclude that the classical evolution of the universe come to and end before the big rip is reached. This is not conclusive because. as we will see, it always exists other external times that allows us to define the classical and quantum evolution of the universe up to the big rip singularity.« less

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.

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.

How to attract young people to science? (based on materials of sociological research)

NASA Astrophysics Data System (ADS)

Karpov, D. A.; Karpova, A. Yu; Kryuchkov, Yu Yu

2015-10-01

Involvement of young people into science at the present time is relevant not only in Russia but as well in countries with big experience in this process. The article states that profession of scientist is considered prestigious in the United States and positioned at 4th place in the rating, wheras in Russia it is only at 19th place in the similar rating. The conclusion is based on the sociological studies conducted in the United States and Russia. The authors speculate that changes in public policy in Russia, aimed at recovering of scientific potential, had an impact on young people's ideas and motivation for scientific work. The article provides an analysis of the sociological study conducted by the National Research Tomsk Polytechnic University (TPU), which aims to determine the willingness and possibility to engage in scientific work. The authors note that TPU entered the federal program “5-100-2020” at 4th place in the ranking of the best universities in Russia and has extensive experience, research base, international training programs, exchanges, and internships with best universities in the United States and Europe. The main conclusions of the study is that master students are ready to engage in scientific work; conditions created at the university are the backbone for the development of scientific career of the students; the highest motivation for students is the satisfaction in their scientific advisors.

The Big Five Health Insurers' Membership And Revenue Trends: Implications For Public Policy.

PubMed

Schoen, Cathy; Collins, Sara R

2017-12-01

The five largest US commercial health insurance companies together enroll 125 million members, or 43 percent of the country's insured population. Over the past decade these insurers have become increasingly dependent for growth and profitability on public programs, according to an analysis of corporate reports. In 2016 Medicare and Medicaid accounted for nearly 60 percent of the companies' health care revenues and 20 percent of their comprehensive plan membership. Although headlines have focused on losses in the state Marketplaces created by the Affordable Care Act (ACA), the Marketplaces represent only a small fraction of insurers' members. Overall, the five largest insurers have remained profitable since passage of the ACA as a result of profits in other market segments. Notably, companies with significant Medicare or Medicaid enrollment have continued to insure beneficiaries in states where the insurers do not participate in Marketplaces. Given the insurers' dependence on public programs, there is potential to improve access if federal or state governments, or both, required insurers that participate in Medicare or Medicaid to also participate in the Marketplaces in the same geographic area. Such requirements could ensure more viable and less volatile insurance, benefiting people insured within each market as well as those who cycle on and off public and private insurance.

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

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.

Enhancing Diversity in Biomedical Data Science

PubMed Central

Canner, Judith E.; McEligot, Archana J.; Pérez, María-Eglée; Qian, Lei; Zhang, Xinzhi

2017-01-01

The gap in educational attainment separating underrepresented minorities from Whites and Asians remains wide. Such a gap has significant impact on workforce diversity and inclusion among cross-cutting Biomedical Data Science (BDS) research, which presents great opportunities as well as major challenges for addressing health disparities. This article provides a brief description of the newly established National Institutes of Health Big Data to Knowledge (BD2K) diversity initiatives at four universities: California State University, Monterey Bay; Fisk University; University of Puerto Rico, Río Piedras Campus; and California State University, Fullerton. We emphasize three main barriers to BDS careers (ie, preparation, exposure, and access to resources) experienced among those pioneer programs and recommendations for possible solutions (ie, early and proactive mentoring, enriched research experience, and data science curriculum development). The diversity disparities in BDS demonstrate the need for educators, researchers, and funding agencies to support evidence-based practices that will lead to the diversification of the BDS workforce PMID:28439180

August, 2002 - floods events, affected areas revitalisation and prevention for the future in the central Bohemian region, Czech Republic

NASA Astrophysics Data System (ADS)

Bina, L.; Vacha, F.; Vodova, J.

2003-04-01

Central Bohemian Region is located in a shape of a ring surrounding the capitol of Prague. Its total territorial area is 11.014 sq.km and population of 1 130.000 inhabitants. According to EU nomenclature of regional statistical units, the Central Bohemian Region is classified as an independent NUTS II. Bohemia's biggest rivers, Vltava and Labe form the region's backbone dividing it along a north-south line, besides that there are Sazava and Berounka, the two big headwaters of Vltava, which flow through the region and there also are some cascade man made lakes and 2 important big dams - Orlik and Slapy on the Vltava River in the area of the region. Overflowing of these rivers and their feeders including cracking of high-water dams during the floods in August 2002 caused total or partial destruction or damage of more than 200 towns and villages and total losses to the extend of 450 mil. EUR. The worst impact was on damaged or destroyed human dwellings, social infrastructure (schools, kindergartens, humanitarian facilities) and technical infrastructure (roads, waterworks, power distribution). Also businesses were considerably damaged including transport terminals in the area of river ports. Flowage of Spolana Neratovice chemical works caused critical environmental havoc. Regional crisis staff with regional Governor in the lead worked continuously during the floods and a regional integrated rescue system was subordinated to it. Due to the huge extent of the floods the crisis staff coordinated its work with central bodies of state including the Government and single "power" resorts (army, interior, transport). Immediately after floods a regional - controlled management was set up including an executive body for regional revitalisation which is connected to state coordinating resort - Ministry for Local Development, EU sources and humanitarian aid. In addition to a program of regional revitalisation additional preventive flood control programs are being developed including fields of: urban planning revision, river flow measures, revision of operation mode of dams, modification of waterworks' conception in areas liable to flooding and finally a program of power sources prevention during emergency situation (this program had been started before the floods). Regional establishment puts emphasis on preparation of preventive projects and management mentioned. An international co-operation of regions affected by floods and possibly building of joint teams for prevention measures proposal would be very effective and useful.

Big game hunter preferences for hunting club attributes: A choice experiment

Treesearch

James C. Mingie; Neelam C. Poudyal; J. M.  Bowker; Michael T.  Mengak; Jacek P.  Siry

2017-01-01

Big game hunting on private leased forestland is popular in Georgia and other parts of the southern United States. Very often, the leasing arrangement takes the form of a club, wherein a specified number of members pay an annual fee to either a landowner or the club's manager to have a certain bundle of access rights in accordance with other club regulations or...

Wildlife population and harvest trends in the United States: a technical document supporting the Forest Service 2010 RPA Assessment

Treesearch

Curtis H. Flather; Michael S. Knowles; Martin F. Jones; Carol Schilli

2013-01-01

The Forest and Rangeland Renewable Resources Planning Act (RPA) of 1974 requires periodic assessments of the condition and trends of the nation's renewable natural resources. Data from many sources were used to document recent historical trends in big game, small game, migratory game birds, furbearers, nongame, and imperiled species. Big game and waterfowl have...

Measuring and Developing Methods of Attitude and Motivational Change in Implementing the Big Blue River Basin Water Plan.

ERIC Educational Resources Information Center

McPartland, Edward J.

The northern portion of the Big Blue River Basin is located in southeastern Nebraska, ranking among the best farm land in the state. Despite its excellent resources for agriculture, the basin suffers from a number of problems related to water and agriculture, such as: (1) precipitation varies during the growing season, stimulating the demand to…

A Stronger Nation through Higher Education: How and Why Americans Must Meet a "Big Goal" for College Attainment

ERIC Educational Resources Information Center

Matthews, Dewayne

2010-01-01

For the past two years, Lumina Foundation for Education has been calling for the United States to increase higher education attainment rates--the proportion of the population that holds a high-quality postsecondary degree or credential--to 60 percent by the year 2025. This call--Lumina's Big Goal--has been taken up by many others. In February…

The Seeley Lake larch: Living link to indian and frontier history

Treesearch

Stephen F. Arno

2010-01-01

Western Montana’s Big Blackfoot River was once the gateway to a magnificent forest and the conduit that fed an immense sawmill. Epic log drives once choked the waterway full of timber each spring. The Big Blackfoot drainage was known for its majestic, centuries-old ponderosa pine and western larch trees. Although stately old ponderosas were widely distributed across...

FLRW Cosmology with Horava-Lifshitz Gravity: Impacts of Equations of State

NASA Astrophysics Data System (ADS)

Tawfik, A.; Abou El Dahab, E.

2017-07-01

Inspired by Lifshitz theory for quantum critical phenomena in condensed matter, Horava proposed a theory for quantum gravity with an anisotropic scaling in ultraviolet. In Horava-Lifshitz gravity (HLG), we have studied the impacts of six types of equations of state on the evolution of various cosmological parameters such as Hubble parameters and scale factor. From the comparison of the general relativity gravity with the HLG with detailed and without with non-detailed balance conditions, remarkable differences are found. Also, a noticeable dependence of singular and non-singular Big Bang on the equations of state is observed. We conclude that HLG explains various epochs in the early universe and might be able to reproduce the entire cosmic history with and without singular Big Bang.

Big domains are novel Ca²+-binding modules: evidences from big domains of Leptospira immunoglobulin-like (Lig) proteins.

PubMed

Raman, Rajeev; Rajanikanth, V; Palaniappan, Raghavan U M; Lin, Yi-Pin; He, Hongxuan; McDonough, Sean P; Sharma, Yogendra; Chang, Yung-Fu

2010-12-29

Many bacterial surface exposed proteins mediate the host-pathogen interaction more effectively in the presence of Ca²+. Leptospiral immunoglobulin-like (Lig) proteins, LigA and LigB, are surface exposed proteins containing Bacterial immunoglobulin like (Big) domains. The function of proteins which contain Big fold is not known. Based on the possible similarities of immunoglobulin and βγ-crystallin folds, we here explore the important question whether Ca²+ binds to a Big domains, which would provide a novel functional role of the proteins containing Big fold. We selected six individual Big domains for this study (three from the conserved part of LigA and LigB, denoted as Lig A3, Lig A4, and LigBCon5; two from the variable region of LigA, i.e., 9(th) (Lig A9) and 10(th) repeats (Lig A10); and one from the variable region of LigB, i.e., LigBCen2. We have also studied the conserved region covering the three and six repeats (LigBCon1-3 and LigCon). All these proteins bind the calcium-mimic dye Stains-all. All the selected four domains bind Ca²+ with dissociation constants of 2-4 µM. Lig A9 and Lig A10 domains fold well with moderate thermal stability, have β-sheet conformation and form homodimers. Fluorescence spectra of Big domains show a specific doublet (at 317 and 330 nm), probably due to Trp interaction with a Phe residue. Equilibrium unfolding of selected Big domains is similar and follows a two-state model, suggesting the similarity in their fold. We demonstrate that the Lig are Ca²+-binding proteins, with Big domains harbouring the binding motif. We conclude that despite differences in sequence, a Big motif binds Ca²+. This work thus sets up a strong possibility for classifying the proteins containing Big domains as a novel family of Ca²+-binding proteins. Since Big domain is a part of many proteins in bacterial kingdom, we suggest a possible function these proteins via Ca²+ binding.

Big Domains Are Novel Ca2+-Binding Modules: Evidences from Big Domains of Leptospira Immunoglobulin-Like (Lig) Proteins

PubMed Central

Palaniappan, Raghavan U. M.; Lin, Yi-Pin; He, Hongxuan; McDonough, Sean P.; Sharma, Yogendra; Chang, Yung-Fu

2010-01-01

Background Many bacterial surface exposed proteins mediate the host-pathogen interaction more effectively in the presence of Ca2+. Leptospiral immunoglobulin-like (Lig) proteins, LigA and LigB, are surface exposed proteins containing Bacterial immunoglobulin like (Big) domains. The function of proteins which contain Big fold is not known. Based on the possible similarities of immunoglobulin and βγ-crystallin folds, we here explore the important question whether Ca2+ binds to a Big domains, which would provide a novel functional role of the proteins containing Big fold. Principal Findings We selected six individual Big domains for this study (three from the conserved part of LigA and LigB, denoted as Lig A3, Lig A4, and LigBCon5; two from the variable region of LigA, i.e., 9th (Lig A9) and 10th repeats (Lig A10); and one from the variable region of LigB, i.e., LigBCen2. We have also studied the conserved region covering the three and six repeats (LigBCon1-3 and LigCon). All these proteins bind the calcium-mimic dye Stains-all. All the selected four domains bind Ca2+ with dissociation constants of 2–4 µM. Lig A9 and Lig A10 domains fold well with moderate thermal stability, have β-sheet conformation and form homodimers. Fluorescence spectra of Big domains show a specific doublet (at 317 and 330 nm), probably due to Trp interaction with a Phe residue. Equilibrium unfolding of selected Big domains is similar and follows a two-state model, suggesting the similarity in their fold. Conclusions We demonstrate that the Lig are Ca2+-binding proteins, with Big domains harbouring the binding motif. We conclude that despite differences in sequence, a Big motif binds Ca2+. This work thus sets up a strong possibility for classifying the proteins containing Big domains as a novel family of Ca2+-binding proteins. Since Big domain is a part of many proteins in bacterial kingdom, we suggest a possible function these proteins via Ca2+ binding. PMID:21206924

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…

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

Do Global Cities Enable Global Views? Using Twitter to Quantify the Level of Geographical Awareness of U.S. Cities

PubMed Central

Han, Su Yeon; Tsou, Ming-Hsiang; Clarke, Keith C.

2015-01-01

Dynamic social media content, such as Twitter messages, can be used to examine individuals’ beliefs and perceptions. By analyzing Twitter messages, this study examines how Twitter users exchanged and recognized toponyms (city names) for different cities in the United States. The frequency and variety of city names found in their online conversations were used to identify the unique spatiotemporal patterns of “geographical awareness” for Twitter users. A new analytic method, Knowledge Discovery in Cyberspace for Geographical Awareness (KDCGA), is introduced to help identify the dynamic spatiotemporal patterns of geographic awareness among social media conversations. Twitter data were collected across 50 U.S. cities. Thousands of city names around the world were extracted from a large volume of Twitter messages (over 5 million tweets) by using the Twitter Application Programming Interface (APIs) and Python language computer programs. The percentages of distant city names (cities located in distant states or other countries far away from the locations of Twitter users) were used to estimate the level of global geographical awareness for Twitter users in each U.S. city. A Global awareness index (GAI) was developed to quantify the level of geographical awareness of Twitter users from within the same city. Our findings are that: (1) the level of geographical awareness varies depending on when and where Twitter messages are posted, yet Twitter users from big cities are more aware of the names of international cities or distant US cities than users from mid-size cities; (2) Twitter users have an increased awareness of other city names far away from their home city during holiday seasons; and (3) Twitter users are more aware of nearby city names than distant city names, and more aware of big city names rather than small city names. PMID:26167942

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…

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 86.136 - 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. ...

Dams and transnational advocacy: Political opportunities in transnational collective action

NASA Astrophysics Data System (ADS)

Fu, Teng

Possible arguments to explain the gradual decline in big dam development and its site transferring from developed to developing countries include technical, economic, and political factors. This study focuses on the political argument---the rise of transnational anti-dam advocacy and its impact on state policy-making. Under what conditions does transnational anti-dam advocacy matter? Under what conditions does transnational advocacy change state dam policies (delay, scale down, or cancel)? It examines the role of transnational anti-dam actors in big dam building in a comparative context in Asia. Applying the social movement theory of political opportunity structure (POS) and using the qualitative case-study method, the study provides both within-case and cross-case analyses. Within-case analysis is utilized to explain the changing dynamics of big dam building in China (Three Gorges Dam and proposed Nu/Salween River dam projects), and to a lesser extent, Sardar Sarovar Project in India and Nam Theun 2 Dam in Laos. Different domestic and international POS (DPOS and IPOS) impact the strategies and outcomes of anti-dam advocacies in these countries. The degree of openness of the POS directly affects the capacity of transnational efforts in influencing state dam policies. The degree of openness or closure is measured by specific laws, institutions, discourse, or elite allies (or the absence of these) for the participation of non-state actors on big dam issues at a particular moment. This degree of openness is relative, varying over time, across countries and regions. This study finds that the impact of transnational anti-dam activism is most effective when both DPOS and IPOS are relatively open. Transnational anti-dam advocacy is least effective in influencing state dam policies when both DPOS and IPOS are relatively closed. Under a relatively open DPOS and closed IPOS, transnational anti-dam advocacy is more likely to successfully change state dam policies and even facilitate the opening of relatively closed IPOS. In contrast, under a relatively closed DPOS and open IPOS, transnational anti-dam advocacy can hardly exist. Without the domestic anti-dam pressure from below, international anti-dam efforts from above are less likely to affect state dam policies or open up closed DPOS.

Demographic analysis of dormancy and survival in the terrestrial orchid Cypripedium reginae

USGS Publications Warehouse

Kery, Marc; Gregg, Katharine B.

2004-01-01

1. We use capture-recapture models to estimate the fraction of dormant ramets, survival and state transition rates, and to identify factors affecting these rates, for the terrestrial orchid Cypripedium reginae. We studied two populations in West Virginia, USA, for 11 years and investigated relationships between grazing and demography. Abe Run's population was small, with moderate herbivory by deer and relatively constant population size. The population at Big Draft was of medium size, with heavy deer grazing, and a sharply declining number of flowering plants up to the spring before our study started, when the population was fenced. 2. We observed dormant episodes lasting from 1 to 4 years. At Abe Run and Big Draft, 32.5% and 7.4% of ramets, respectively, were dormant at least once during the study period for an average of 1.6 and 1.3 years, respectively. We estimated the annual fraction of ramets in the dormant state at 12.3% (95% CI 9.5-15.8%) at Abe Run and at 1.8% (95% CI 1.2-2.6%) at Big Draft. Transition rates between the dormant, vegetative and flowering life-states did not vary between years in either population. Most surviving ramets remained in the same state from one year to the next. Survival rates were constant at Abe Run (0.96, 95% CI 0.93-0.97), but varied between years at Big Draft (0.89-0.99, mean 0.95). 3. At Big Draft, we found neither a temporal trend in survival after cessation of grazing, nor relationships between survival and the number of spring frost days or cumulative precipitation during the current or the previous 12 months. However, analysis of precipitation on a 3-month basis revealed a positive relationship between survival and precipitation during the spring (March-May) of the previous year. 4. Relationship between climate and the population dynamics of orchids may have to be studied with a fine temporal resolution, and considering possible time lags. Capture-recapture modelling provides a comprehensive and flexible framework for demographic analysis of plants with dormancy.

Big Missiles and Big Decks: The Viability of Aircraft Carriers in an A2/AD World

DTIC Science & Technology

2016-06-01

RESEARCH DESIGN This thesis centers on a historical case study of two periods in which the United States and its carrier fleet faced some degree...19 3. Lessons Learned ...........................................................................21 C. APPLICABILITY OF CASE STUDIES ...employed the strategic concepts behind A2/AD since the Persian War of 480 BC. In his analysis of several historic case studies , Tangredi notes that a

Bouncing cosmologies from quantum gravity condensates

NASA Astrophysics Data System (ADS)

Oriti, Daniele; Sindoni, Lorenzo; Wilson-Ewing, Edward

2017-02-01

We show how the large-scale cosmological dynamics can be obtained from the hydrodynamics of isotropic group field theory condensate states in the Gross-Pitaevskii approximation. The correct Friedmann equations are recovered in the classical limit for some choices of the parameters in the action for the group field theory, and quantum gravity corrections arise in the high-curvature regime causing a bounce which generically resolves the big-bang and big-crunch singularities.

Towards Hybrid Online On-Demand Querying of Realtime Data with Stateful Complex Event Processing

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

Zhou, Qunzhi; Simmhan, Yogesh; Prasanna, Viktor K.

Emerging Big Data applications in areas like e-commerce and energy industry require both online and on-demand queries to be performed over vast and fast data arriving as streams. These present novel challenges to Big Data management systems. Complex Event Processing (CEP) is recognized as a high performance online query scheme which in particular deals with the velocity aspect of the 3-V’s of Big Data. However, traditional CEP systems do not consider data variety and lack the capability to embed ad hoc queries over the volume of data streams. In this paper, we propose H2O, a stateful complex event processing framework,more » to support hybrid online and on-demand queries over realtime data. We propose a semantically enriched event and query model to address data variety. A formal query algebra is developed to precisely capture the stateful and containment semantics of online and on-demand queries. We describe techniques to achieve the interactive query processing over realtime data featured by efficient online querying, dynamic stream data persistence and on-demand access. The system architecture is presented and the current implementation status reported.« less

Rethinking Big Science. Modest, mezzo, grand science and the development of the Bevalac, 1971-1993.

PubMed

Westfall, Catherine

2003-03-01

Historians of science have tended to focus exclusively on scale in investigations of largescale research, perhaps because it has been easy to assume that comprehending a phenomenon dubbed "Big Science" hinges on an understanding of bigness. A close look at Lawrence Berkeley Laboratory's Bevalac, a medium-scale "mezzo science" project formed by uniting two preexisting machines--the modest SuperHILAC and the grand Bevatron--shows what can be gained by overcoming this preoccupation with bigness. The Bevalac story reveals how interconnections, connections, and disconnections ultimately led to the development of a new kind of science that transformed the landscape of large-scale research in the United States. Important lessons in historiography also emerge: the value of framing discussions in terms of networks, the necessity of constantly expanding and refining methodology, and the importance of avoiding the rhetoric of participants and instead finding words to tell our own stories.

Can Any Good Thing Come out of Nazareth? (John 1:46) 1999 George C. Pimentel Award, sponsored by Union Carbide Corporation

NASA Astrophysics Data System (ADS)

Orna, Mary Virginia

1999-09-01

We are in the era of Big Science, which also means big institutions where the Big Science is done. However, higher education in the United States is unique in that parallel to the array of big institutions is a system of small liberal arts and sciences colleges where students receive the personal attention and faculty contact that is often not possible at larger institutions. While these smaller institutions are limited in resources and finances, studies have shown that they contribute a disproportionately higher number of leaders across a spectrum of disciplines, including chemistry. This address summarizes my personal odyssey and the reasons for the award. In it, I emphasize the advantages enjoyed by liberal arts and sciences students and faculty that enable them to overcome the view that great things can only be done in large, cosmopolitan settings.

Introduction to big bang nucleosynthesis and modern cosmology

NASA Astrophysics Data System (ADS)

Mathews, Grant J.; Kusakabe, Motohiko; Kajino, Toshitaka

Primordial nucleosynthesis remains as one of the pillars of modern cosmology. It is the testing ground upon which many cosmological models must ultimately rest. It is our only probe of the universe during the important radiation-dominated epoch in the first few minutes of cosmic expansion. This paper reviews the basic equations of space-time, cosmology, and big bang nucleosynthesis. We also summarize the current state of observational constraints on primordial abundances along with the key nuclear reactions and their uncertainties. We summarize which nuclear measurements are most crucial during the big bang. We also review various cosmological models and their constraints. In particular, we analyze the constraints that big bang nucleosynthesis places upon the possible time variation of fundamental constants, along with constraints on the nature and origin of dark matter and dark energy, long-lived supersymmetric particles, gravity waves, and the primordial magnetic field.

Systems biology for nursing in the era of big data and precision health.

PubMed

Founds, Sandra

2017-12-02

The systems biology framework was previously synthesized with the person-environment-health-nursing metaparadigm. The purpose of this paper is to present a nursing discipline-specific perspective of the association of systems biology with big data and precision health. The fields of systems biology, big data, and precision health are now overviewed, from origins through expansions, with examples of what is being done by nurses in each area of science. Technological advances continue to expand omics and other varieties of big data that inform the person's phenotype and health outcomes for precision care. Meanwhile, millions of participants in the United States are being recruited for health-care research initiatives aimed at building the information commons of digital health data. Implications and opportunities abound via conceptualizing the integration of these fields through the nursing metaparadigm. Copyright © 2017 Elsevier Inc. All rights reserved.

Woodpecker densities in the big woods of Arkansas

USGS Publications Warehouse

Luscier, J.D.; Krementz, David G.

2010-01-01

Sightings of the now-feared-extinct ivory-billed woodpecker Campephilus principalis in 2004 in the Big Woods of Arkansas initiated a series of studies on how to best manage habitat for this endangered species as well as all woodpeckers in the area. Previous work suggested that densities of other woodpeckers, particularly pileated Dryocopus pileatus and red-bellied Melanerpes carolinus woodpeckers, might be useful in characterizing habitat use by the ivory-billed woodpecker. We estimated densities of six woodpecker species in the Big Woods during the breeding seasons of 2006 and 2007 and also during the winter season of 2007. Our estimated densities were as high as or higher than previously published woodpecker density estimates for the Southeastern United States. Density estimates ranged from 9.1 to 161.3 individuals/km2 across six woodpecker species. Our data suggest that the Big Woods of Arkansas is attractive to all woodpeckers using the region, including ivory-billed woodpeckers.

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

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…

Giant Spherical Cluster with I-C140 Fullerene Topology.

PubMed

Heinl, Sebastian; Peresypkina, Eugenia; Sutter, Jörg; Scheer, Manfred

2015-11-02

We report on an effective cluster expansion of CuBr-linked aggregates by the increase of the steric bulk of the Cp(R) ligand in the pentatopic molecules [Cp(R)Fe(η(5)-P5)]. Using [Cp(BIG)Fe(η(5)-P5)] (Cp(BIG)=C5(4-nBuC6H4)5), the novel multishell aggregate [{Cp(BIG)Fe(η(5:2:1:1:1:1:1)-P5)}12(CuBr)92] is obtained. It shows topological analogy to the theoretically predicted I-C140 fullerene molecule. The spherical cluster was comprehensively characterized by various methods in solution and in the solid state. © 2015 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Proposal for the determination of nuclear masses by high-precision spectroscopy of Rydberg states

NASA Astrophysics Data System (ADS)

Wundt, B. J.; Jentschura, U. D.

2010-06-01

The theoretical treatment of Rydberg states in one-electron ions is facilitated by the virtual absence of the nuclear-size correction, and fundamental constants like the Rydberg constant may be in the reach of planned high-precision spectroscopic experiments. The dominant nuclear effect that shifts transition energies among Rydberg states therefore is due to the nuclear mass. As a consequence, spectroscopic measurements of Rydberg transitions can be used in order to precisely deduce nuclear masses. A possible application of this approach to hydrogen and deuterium, and hydrogen-like lithium and carbon is explored in detail. In order to complete the analysis, numerical and analytic calculations of the quantum electrodynamic self-energy remainder function for states with principal quantum number n = 5, ..., 8 and with angular momentum ell = n - 1 and ell = n - 2 are described \\big(j = \\ell \\pm {\\textstyle {\\frac{1}{2}}}\\big).

Radiology and Enterprise Medical Imaging Extensions (REMIX).

PubMed

Erdal, Barbaros S; Prevedello, Luciano M; Qian, Songyue; Demirer, Mutlu; Little, Kevin; Ryu, John; O'Donnell, Thomas; White, Richard D

2018-02-01

Radiology and Enterprise Medical Imaging Extensions (REMIX) is a platform originally designed to both support the medical imaging-driven clinical and clinical research operational needs of Department of Radiology of The Ohio State University Wexner Medical Center. REMIX accommodates the storage and handling of "big imaging data," as needed for large multi-disciplinary cancer-focused programs. The evolving REMIX platform contains an array of integrated tools/software packages for the following: (1) server and storage management; (2) image reconstruction; (3) digital pathology; (4) de-identification; (5) business intelligence; (6) texture analysis; and (7) artificial intelligence. These capabilities, along with documentation and guidance, explaining how to interact with a commercial system (e.g., PACS, EHR, commercial database) that currently exists in clinical environments, are to be made freely available.

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…

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…

76 FR 37265 - Standard Instrument Approach Procedures, and Takeoff Minimums and Obstacle Departure Procedures...

Federal Register 2010, 2011, 2012, 2013, 2014

2011-06-27

..., Springerville Muni, RNAV (GPS) RWY 21, Amdt 1 Big Bear City, CA, Big Bear City, RNAV (GPS) RWY 26, Orig-A Marina... Baltimore, MD, Martin State, RNAV (GPS) RWY 15, Amdt 1 Great Falls, MT, Great Falls Intl, GPS RWY 21, Orig-A, CANCELLED Great Falls, MT, Great Falls Intl, ILS OR LOC/DME RWY 3, ILS RWY 3 (SA CAT I), ILS RWY 3 (CAT II...

Performance and genetic variation of big-leaf mahogany (Swietenia macrophylla King) in provenance and progeny trials in the Yucatan Peninsula of Mexico.

Treesearch

Kevyn E. Wightman; Sheila E. Ward; Jeremy P. Haggar; Bartolo Rodriguez Santiago; Jonathan P. Cornelius

2008-01-01

Stocks of the valuable big-leaf mahogany (Swietenia macrophylla King) are declining, and trials for growth and pest resistance are needed to select material for plantations. Seeds were collected from 67 open-pollinated trees from five provenances in the Yucatan Peninsula of Mexico and planted in three provenance/progeny trials in the state of Quintana Roo, Mexico, in...

Neutrino mixing and big bang nucleosynthesis

NASA Astrophysics Data System (ADS)

Bell, Nicole

2003-04-01

We analyse active-active neutrino mixing in the early universe and show that transformation of neutrino-antineutrino asymmetries between flavours is unavoidable when neutrino mixing angles are large. This process is a standard Mikheyev-Smirnov-Wolfenstein flavour transformation, modified by the synchronisation of momentum states which results from neutrino-neutrino forward scattering. The new constraints placed on neutrino asymmetries eliminate the possibility of degenerate big bang nucleosynthesis.Implications of active-sterile neutrino mixing will also be reviewed.

76 FR 15936 - Opportunity for Designation in the Aberdeen, SD; Decatur, IL; Hastings, NE; Fulton, IL; the State...

Federal Register 2010, 2011, 2012, 2013, 2014

2011-03-22

... regular business hours (7 CFR 1.27(c)). FOR FURTHER INFORMATION CONTACT: Karen W. Guagliardo, 202-720-8262... State line east; Bounded on the East by the eastern South Dakota State line (the Big Sioux River) to... contiguous [[Page 15938

Tested Demonstrations.

ERIC Educational Resources Information Center

Gilbert, George L., Ed.

1983-01-01

Describes a lecture demonstration of a solid state phase transition using a thermodynamic material which changes state at room temperature. Also describes a demonstration on kinetics using a "Big Bang" (trade mark) calcium carbide cannon. Indicates that the cannon is safe to use. (JN)

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.

Use and selection of bridges as day roosts by Rafinesque's Big Eared Bats.

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

Bennett, Frances, M.; Loeb, Susan, C.; Bunch, Mary, S.

ABSTRACT.—Rafinesque’s big-eared bats (Corynorhinus rafinesquii) use bridges as day roosts in parts of their range, but information on bridge use across their range is lacking. From May to Aug. 2002 we surveyed 1129 bridges (12.5%) within all 46 counties of South Carolina to determine use and selection of bridges as day roosts by big-eared bats and to document their distribution across the state. During summer 2003, we visited 235 bridges in previously occupied areas of the state to evaluate short-term fidelity to bridge roosts. We found colonies and solitary big-eared bats beneath 38 bridges in 2002 and 54 bridges inmore » 2003. Construction type and size of bridges strongly influenced use in both years; bats selected large, concrete girder bridges and avoided flat-bottomed slab bridges. The majority of occupied bridges (94.7%) were in the Upper and Lower Coastal Plains, but a few bridges (5.3%) were located in the Piedmont. Rafinesque’s big-eared bats were absent beneath bridges in the Blue Ridge Mountains. We established new records of occurrence for 10 counties. In the Coastal Plains, big-eared bats exhibited a high degree of short-term fidelity to roosts in highway bridges. For bridges that were occupied at least once, mean frequency of use was 65.9%. Probability of finding bats under a bridge ranged from 0.46 to 0.73 depending on whether the bridge was occupied in the previous year. Thus, bridges should be inspected three to five times in a given year to determine whether they are being used. Regional bridge roost surveys may be a good method for determining the distribution of C. rafinesquii, particularly in the Coastal Plains, and protection of suitable bridges may be a viable conservation strategy where natural roost sites are limited.« less

Health policy programs realised in Poland in 2016-2017

PubMed

Kurowska, Patrycja; Królak, Anna; Giermaziak, Wojciech

2018-01-01

Health Policy Program (Program Polityki Zdrowotnej – PPZ) is a state policy tool for engaging local government units into the mechanism of granting provision of health services. Authors show areas in which self-governments most often took preventive health care actions and describe legislative changes in the Act on provision of health services. The aim of the article is to quantitative and qualitative statement of PPZ prepared in Poland in 2016 and 2017, as well as presenting changing legal situation in the scope of evaluation of these projects. Authors use descriptive method, presenting changes of legal status. The article includes data available in the Bulletin of Public Information by The Agency for Health Technology Assessment. 590 programs were analyzed (239 from 2016 and 351 from 2017). In 2016 – 67% of submitted programs were given a positive opinion and in 2017 – 71%. The most of positively evaluated PPZ submitted by local government units (53% in 2016; 47% in 2017) referred to prevention of infectious diseases by vaccines. On the basis of analyses conducted, significant differences were observed in the implementation of the PPZ in various regions of Poland. In the recent years a big improvement in the quality of planned self-government health programs is observed. It is suggested that due to the regulation defining the model of the health policy program and the model of the final report, this trend will continue.

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

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.

Nano-Bio-Genesis: tracing the rise of nanotechnology and nanobiotechnology as 'big science'

PubMed Central

Kulkarni, Rajan P

2007-01-01

Nanotechnology research has lately been of intense interest because of its perceived potential for many diverse fields of science. Nanotechnology's tools have found application in diverse fields, from biology to device physics. By the 1990s, there was a concerted effort in the United States to develop a national initiative to promote such research. The success of this effort led to a significant influx of resources and interest in nanotechnology and nanobiotechnology and to the establishment of centralized research programs and facilities. Further government initiatives (at federal, state, and local levels) have firmly cemented these disciplines as 'big science,' with efforts increasingly concentrated at select laboratories and centers. In many respects, these trends mirror certain changes in academic science over the past twenty years, with a greater emphasis on applied science and research that can be more directly utilized for commercial applications. We also compare the National Nanotechnology Initiative and its successors to the Human Genome Project, another large-scale, government funded initiative. These precedents made acceptance of shifts in nanotechnology easier for researchers to accept, as they followed trends already established within most fields of science. Finally, these trends are examined in the design of technologies for detection and treatment of cancer, through the Alliance for Nanotechnology in Cancer initiative of the National Cancer Institute. Federal funding of these nanotechnology initiatives has allowed for expansion into diverse fields and the impetus for expanding the scope of research of several fields, especially biomedicine, though the ultimate utility and impact of all these efforts remains to be seen. PMID:17629932

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.

Physician Preparedness for Big Genomic Data: A Review of Genomic Medicine Education Initiatives in the United States.

PubMed

Rubanovich, Caryn Kseniya; Cheung, Cynthia; Mandel, Jess; Bloss, Cinnamon S

2018-05-10

In the last decade, genomic medicine education initiatives have surfaced across the spectrum of physician training in order to help address a gap in genomic medicine preparedness among physicians. The approaches are diverse and stem from the belief that 21st century physicians must be proficient in genomic medicine applications as they will be leaders in the precision medicine movement. We conducted a review of literature in genomic medicine education and training for medical students, graduate medical education, and practicing physicians with articles published between June 2015 and January 2018 to gain a picture of the current state of genomic medicine education with a focus on the United States. We found evidence of progress in the development of new and innovative educational programs and other resources aimed at increasing physician knowledge and readiness. Three overarching educational approach themes emerged, including immersive and experiential learning; interdisciplinary and interprofessional education; and electronic- and web-based approaches. This review is not exhaustive, nevertheless, it may inform future directions and improvements for genomic medicine education. Important next-steps include: 1) identifying and studying ways to best implement low-cost dissemination of genomic information; 2) emphasizing genomic medicine education program evaluation; and 3) incorporating interprofessional and interdisciplinary initiatives. Genomic medicine education and training will become more and more relevant in the years to come as physicians increasingly interact with genomic and other precision medicine technologies.

What social workers need to know about the earned income tax credit.

PubMed

Beverly, Sondra G

2002-07-01

Over the past decade, the federal earned income tax credit (EITC) has become the largest antipoverty program in the United States. For the 2002 tax year, working families with children can receive as much as $4,140 in EITC benefits. Although families may arrange to receive benefits throughout the year (through their paychecks), most receive a lump sum after filing federal income taxes. Research suggests that many families use the credit to purchase big-ticket items, to move, to pay for educational expenses, or to set aside savings. Thus, the credit may promote long-term household development as well as help families with basic expenses. Research also suggests that EITC encourages work among single-parent families, an outcome that is consistent with one goal of welfare reform. Social workers can be involved in outreach efforts that help low-income workers claim EITC benefits and inform them about advance-payment options. Social workers can also support efforts to increase EITC benefits for larger families and link tax refunds to saving programs.

Mapreduce is Good Enough? If All You Have is a Hammer, Throw Away Everything That's Not a Nail!

PubMed

Lin, Jimmy

2013-03-01

Hadoop is currently the large-scale data analysis "hammer" of choice, but there exist classes of algorithms that aren't "nails" in the sense that they are not particularly amenable to the MapReduce programming model. To address this, researchers have proposed MapReduce extensions or alternative programming models in which these algorithms can be elegantly expressed. This article espouses a very different position: that MapReduce is "good enough," and that instead of trying to invent screwdrivers, we should simply get rid of everything that's not a nail. To be more specific, much discussion in the literature surrounds the fact that iterative algorithms are a poor fit for MapReduce. The simple solution is to find alternative, noniterative algorithms that solve the same problem. This article captures my personal experiences as an academic researcher as well as a software engineer in a "real-world" production analytics environment. From this combined perspective, I reflect on the current state and future of "big data" research.

(Quasi)-convexification of Barta's (multi-extrema) bounding theorem: Inf_x\\big(\\ssty\\frac{H\\Phi(x)}{\\Phi(x)} \\big) \\le E_gr \\le Sup_x \\big(\\ssty\\frac{H\\Phi(x)}{\\Phi(x)} \\big)

NASA Astrophysics Data System (ADS)

Handy, C. R.

2006-03-01

There has been renewed interest in the exploitation of Barta's configuration space theorem (BCST) (Barta 1937 C. R. Acad. Sci. Paris 204 472) which bounds the ground-state energy, Inf_x\\big({{H\\Phi(x)}\\over {\\Phi(x)}} \\big ) \\leq E_gr \\leq Sup_x \\big({{H\\Phi(x)}\\over {\\Phi(x)}}\\big) , by using any Φ lying within the space of positive, bounded, and sufficiently smooth functions, {\\cal C} . Mouchet's (Mouchet 2005 J. Phys. A: Math. Gen. 38 1039) BCST analysis is based on gradient optimization (GO). However, it overlooks significant difficulties: (i) appearance of multi-extrema; (ii) inefficiency of GO for stiff (singular perturbation/strong coupling) problems; (iii) the nonexistence of a systematic procedure for arbitrarily improving the bounds within {\\cal C} . These deficiencies can be corrected by transforming BCST into a moments' representation equivalent, and exploiting a generalization of the eigenvalue moment method (EMM), within the context of the well-known generalized eigenvalue problem (GEP), as developed here. EMM is an alternative eigenenergy bounding, variational procedure, overlooked by Mouchet, which also exploits the positivity of the desired physical solution. Furthermore, it is applicable to Hermitian and non-Hermitian systems with complex-number quantization parameters (Handy and Bessis 1985 Phys. Rev. Lett. 55 931, Handy et al 1988 Phys. Rev. Lett. 60 253, Handy 2001 J. Phys. A: Math. Gen. 34 5065, Handy et al 2002 J. Phys. A: Math. Gen. 35 6359). Our analysis exploits various quasi-convexity/concavity theorems common to the GEP representation. We outline the general theory, and present some illustrative examples.

Interacting disturbances: did sudden oak death mortality in Big Sur worsen the impacts of the 2008 basin complex wildfire?

Treesearch

Margaret Metz; Kerri Frangioso; Ross Meentemeyer; David Rizzo

2010-01-01

In late June 2008, a large, dry lightning storm ignited thousands of fires across California. The largest of these fires became the Basin-Indians Complex Fire in Big Sur, along the State’s central coast. The fire burned over 240,000 acres (USDA Forest Service 2008) and required over a month of intense firefighting operations to contain the perimeter. Media reports and...

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

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...

Cultural Similarities and Differences in Perceived Affordances of Situations for Big Five Behaviors

PubMed Central

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

2009-01-01

The perceived affordance or conduciveness of various situations for Big Five behaviors was investigated in the United States (N = 188) and the Philippines (N = 215). The basic proposition that different situations afford different trait-relevant behaviors was supported, at least in the perceptions of cultural informants. Cultural similarities exceeded differences, and in both cultures individuals perceived Big Five behaviors as expressed in if-then patterns of variation across situations. Americans and Filipinos showed some similarity in the general dimensions along which situations are construed, but meaningful differences in the construal of certain interpersonal situations were also observed. The findings contribute to efforts to integrate person and situation approaches in personality and social psychology. PMID:20401176

Population-based imaging biobanks as source of big data.

PubMed

Gatidis, Sergios; Heber, Sophia D; Storz, Corinna; Bamberg, Fabian

2017-06-01

Advances of computational sciences over the last decades have enabled the introduction of novel methodological approaches in biomedical research. Acquiring extensive and comprehensive data about a research subject and subsequently extracting significant information has opened new possibilities in gaining insight into biological and medical processes. This so-called big data approach has recently found entrance into medical imaging and numerous epidemiological studies have been implementing advanced imaging to identify imaging biomarkers that provide information about physiological processes, including normal development and aging but also on the development of pathological disease states. The purpose of this article is to present existing epidemiological imaging studies and to discuss opportunities, methodological and organizational aspects, and challenges that population imaging poses to the field of big data research.

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…

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…

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…

Psychophysiological responses to competition and the big five personality traits.

PubMed

Binboga, Erdal; Guven, Senol; Catıkkaş, Fatih; Bayazıt, Onur; Tok, Serdar

2012-06-01

This study examines the relationship between psychophysiological arousal, cognitive anxiety, and personality traits in young taekwondo athletes. A total of 20 male and 10 female taekwondo athletes (mean age = 18.6 years; ± 1.8) volunteered for the study. The Five Factor Personality Inventory and the state scale of the Spielberger State-Trait Anxiety Inventory (STAI) were used to measure personality and cognitive state anxiety. Electrodermal activity (EDA) was measured twice, one day and approximately one hour prior to the competition, to determine psychophysiological arousal. Descriptive statistics, Pearson product-moment correlations, and stepwise regression were used to analyze the data. Several "Big Five" facets were related to the EDA delta scores that were measured both one day and one hour before the competition. Two stepwise regressions were conducted to examine whether personality traits could significantly predict both EDA delta scores. The final model, containing only neuroticism from the Big Five factors, can significantly explain the variations in the EDA delta scores measured one day before the competition. Agreeableness can significantly explain variations in the EDA delta scores measured one hour before the competition. No relationship was found between cognitive anxiety and the EDA delta scores measured one hour before the competition. In conclusion, personality traits, especially agreeableness and neuroticism, might be useful in understanding arousal responses to competition.

Psychophysiological Responses to Competition and the Big Five Personality Traits

PubMed Central

Binboga, Erdal; Guven, Senol; Çatıkkaş, Fatih; Bayazıt, Onur; Tok, Serdar

2012-01-01

This study examines the relationship between psychophysiological arousal, cognitive anxiety, and personality traits in young taekwondo athletes. A total of 20 male and 10 female taekwondo athletes (mean age = 18.6 years; ± 1.8) volunteered for the study. The Five Factor Personality Inventory and the state scale of the Spielberger State-Trait Anxiety Inventory (STAI) were used to measure personality and cognitive state anxiety. Electrodermal activity (EDA) was measured twice, one day and approximately one hour prior to the competition, to determine psychophysiological arousal. Descriptive statistics, Pearson product-moment correlations, and stepwise regression were used to analyze the data. Several “Big Five” facets were related to the EDA delta scores that were measured both one day and one hour before the competition. Two stepwise regressions were conducted to examine whether personality traits could significantly predict both EDA delta scores. The final model, containing only neuroticism from the Big Five factors, can significantly explain the variations in the EDA delta scores measured one day before the competition. Agreeableness can significantly explain variations in the EDA delta scores measured one hour before the competition. No relationship was found between cognitive anxiety and the EDA delta scores measured one hour before the competition. In conclusion, personality traits, especially agreeableness and neuroticism, might be useful in understanding arousal responses to competition. PMID:23486906

Who killed Rambhor?: The state of emergency medical services in India

PubMed Central

Garg, Rajesh H

2012-01-01

In India, the healthcare delivery system starts up from the sub-center at the village level and reaches up to super specialty medical centers providing state of the art emergency medical services (EMS). These highest centers, located in big cities, are considered the last referral points for the patients from nearby cities and states. As the incidents of rail and road accidents have increased in recent years, the role of EMS becomes critical in saving precious lives. But when the facilities and management of these emergency centers succumbs before the patient, then the question arises regarding the adequate availability and quality of EMS. The death of an unknown common man, Rambhor, for want of EMS in three big hospitals in the national capital of India put a big question on the “health” of the emergency health services in India. The emergency services infrastructure seems inadequate and quality and timely provision of EMS to critical patients appears unsatisfactory. There is lack of emergency medicine (EM) specialists in India and also the postgraduation courses in EM have not gained foot in our medical education system. Creation of a Centralized Medical Emergency Body, implementation of management techniques, modification of medical curriculum, and fixing accountability are some of the few steps which are required to improve the EMS in India. PMID:22416155

Identifying early-warning signals of critical transitions with strong noise by dynamical network markers

PubMed Central

Liu, Rui; Chen, Pei; Aihara, Kazuyuki; Chen, Luonan

2015-01-01

Identifying early-warning signals of a critical transition for a complex system is difficult, especially when the target system is constantly perturbed by big noise, which makes the traditional methods fail due to the strong fluctuations of the observed data. In this work, we show that the critical transition is not traditional state-transition but probability distribution-transition when the noise is not sufficiently small, which, however, is a ubiquitous case in real systems. We present a model-free computational method to detect the warning signals before such transitions. The key idea behind is a strategy: “making big noise smaller” by a distribution-embedding scheme, which transforms the data from the observed state-variables with big noise to their distribution-variables with small noise, and thus makes the traditional criteria effective because of the significantly reduced fluctuations. Specifically, increasing the dimension of the observed data by moment expansion that changes the system from state-dynamics to probability distribution-dynamics, we derive new data in a higher-dimensional space but with much smaller noise. Then, we develop a criterion based on the dynamical network marker (DNM) to signal the impending critical transition using the transformed higher-dimensional data. We also demonstrate the effectiveness of our method in biological, ecological and financial systems. PMID:26647650

Pre-Big-Bang bubbles from the gravitational instability of generic string vacua

NASA Astrophysics Data System (ADS)

Buonanno, A.; Damour, T.; Veneziano, G.

1999-03-01

We formulate the basic postulate of pre-Big-Bang cosmology as one of ``asymptotic past triviality", by which we mean that the initial state is a generic perturbative solution of the tree-level low-energy effective action. Such a past-trivial ``string vacuum'' is made of an arbitrary ensemble of incoming gravitational and dilatonic waves, and is generically prone to gravitational instability, leading to the possible formation of many black holes hiding singular space-like hypersurfaces. Each such singular space-like hypersurface of gravitational collapse becomes, in the string-frame metric, the usual Big-Bang t=0 hypersurface, i.e. the place of birth of a baby Friedmann universe after a period of dilaton-driven inflation. Specializing to the spherically symmetric case, we review and reinterpret previous work on the subject, and propose a simple, scale-invariant criterion for collapse/inflation in terms of asymptotic data at past null infinity. Those data should determine whether, when, and where collapse/inflation occurs, and, when it does, fix its characteristics, including anisotropies on the Big-Bang hypersurface whose imprint could have survived till now. Using Bayesian probability concepts, we finally attempt to answer some fine-tuning objections recently moved to the pre-Big-Bang scenario.

Computing Platforms for Big Biological Data Analytics: Perspectives and Challenges.

PubMed

Yin, Zekun; Lan, Haidong; Tan, Guangming; Lu, Mian; Vasilakos, Athanasios V; Liu, Weiguo

2017-01-01

The last decade has witnessed an explosion in the amount of available biological sequence data, due to the rapid progress of high-throughput sequencing projects. However, the biological data amount is becoming so great that traditional data analysis platforms and methods can no longer meet the need to rapidly perform data analysis tasks in life sciences. As a result, both biologists and computer scientists are facing the challenge of gaining a profound insight into the deepest biological functions from big biological data. This in turn requires massive computational resources. Therefore, high performance computing (HPC) platforms are highly needed as well as efficient and scalable algorithms that can take advantage of these platforms. In this paper, we survey the state-of-the-art HPC platforms for big biological data analytics. We first list the characteristics of big biological data and popular computing platforms. Then we provide a taxonomy of different biological data analysis applications and a survey of the way they have been mapped onto various computing platforms. After that, we present a case study to compare the efficiency of different computing platforms for handling the classical biological sequence alignment problem. At last we discuss the open issues in big biological data analytics.

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.

Pre-Big Bang Bubbles from the Gravitational Instability of Generic String Vacua

NASA Astrophysics Data System (ADS)

Buonanno, A.; Damour, T.; Veneziano, G.

1998-06-01

We formulate the basic postulate of pre-big bang cosmology as one of 'asymptotic past triviality', by which we mean that the initial state is a generic perturbative solution of the tree-level low-energy effective action. Each such singular space-like hypersurface of gravitational collapse becomes, in the string-frame metric, the usual big-bang t = 0 hypersurface, i.e. the place of birth of a baby Friedmann universe after a period of dilaton-driven inflation. Specializing to the spherically-symmetric case, we review and reinterpret previous work on the subject, and propose a simple, scale-invariant criterion for collapse/inflation in terms of asymptotic data at past null infinity. Those data should determine whether, when, and where collapse/inflation occurs, and, when it does, fix its characteristics, including anisotropies on the big bang hypersurface whose imprint could have survived till now. Using Bayesian probability concepts, we finally attempt to answer some fine-tuning objections recently moved to the pre-gib bang scenario.

U.S. strategic petroleum reserve Big Hill 114 leak analysis 2012.

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

Lord, David L.; Roberts, Barry L.; Lord, Anna C. Snider

2013-06-01

This report addresses recent well integrity issues related to cavern 114 at the Big Hill Strategic Petroleum Reserve site. DM Petroleum Operations, M&O contractor for the U.S. Strategic Petroleum Reserve, recognized an apparent leak in Big Hill cavern well 114A in late summer, 2012, and provided written notice to the State of Texas as required by law. DM has since isolated the leak in well A with a temporary plug, and is planning on remediating both 114 A- and B-wells with liners. In this report Sandia provides an analysis of the apparent leak that includes: (i) estimated leak volume, (ii)more » recommendation for operating pressure to maintain in the cavern between temporary and permanent fixes for the well integrity issues, and (iii) identification of other caverns or wells at Big Hill that should be monitored closely in light of the sequence of failures there in the last several years.« less

Hydrologic, vegetation, and soil data collected in selected wetlands of the Big River Management area, Rhode Island, from 2008 through 2010

USGS Publications Warehouse

Borenstein, Meredith S.; Golet, Francis C.; Armstrong, David S.; Breault, Robert F.; McCobb, Timothy D.; Weiskel, Peter K.

2012-01-01

The Rhode Island Water Resources Board planned to develop public water-supply wells in the Big River Management Area in Kent County, Rhode Island. Research in the United States and abroad indicates that groundwater withdrawal has the potential to affect wetland hydrology and related processes. In May 2008, the Rhode Island Water Resources Board, the U.S. Geological Survey, and the University of Rhode Island formed a partnership to establish baseline conditions at selected Big River wetland study sites and to develop an approach for monitoring potential impacts once pumping begins. In 2008 and 2009, baseline data were collected on the hydrology, vegetation, and soil characteristics at five forested wetland study sites in the Big River Management Area. Four of the sites were located in areas of potential drawdown associated with the projected withdrawals. The fifth site was located outside the area of projected drawdown and served as a control site. The data collected during this study are presented in this report.

Big data prediction of durations for online collective actions based on peak's timing

NASA Astrophysics Data System (ADS)

Nie, Shizhao; Wang, Zheng; Pujia, Wangmo; Nie, Yuan; Lu, Peng

2018-02-01

Peak Model states that each collective action has a life circle, which contains four periods of "prepare", "outbreak", "peak", and "vanish"; and the peak determines the max energy and the whole process. The peak model's re-simulation indicates that there seems to be a stable ratio between the peak's timing (TP) and the total span (T) or duration of collective actions, which needs further validations through empirical data of collective actions. Therefore, the daily big data of online collective actions is applied to validate the model; and the key is to check the ratio between peak's timing and the total span. The big data is obtained from online data recording & mining of websites. It is verified by the empirical big data that there is a stable ratio between TP and T; furthermore, it seems to be normally distributed. This rule holds for both the general cases and the sub-types of collective actions. Given the distribution of the ratio, estimated probability density function can be obtained, and therefore the span can be predicted via the peak's timing. Under the scenario of big data, the instant span (how long the collective action lasts or when it ends) will be monitored and predicted in real-time. With denser data (Big Data), the estimation of the ratio's distribution gets more robust, and the prediction of collective actions' spans or durations will be more accurate.

A better way of representing stem area index in two-big-leaf models: the application and impact on canopy integration of leaf nitrogen content

NASA Astrophysics Data System (ADS)

Chen, M.; Butler, E. E.; Wythers, K. R.; Kattge, J.; Ricciuto, D. M.; Thornton, P. E.; Atkin, O. K.; Flores-Moreno, H.; Reich, P. B.

2017-12-01

In order to better estimate the carbon budget of the globe, accurately simulating gross primary productivity (GPP) in earth system models is critical. When upscaling leaf level photosynthesis to the canopy, climate models uses different big-leaf schemes. About half of the state-of-the-art earth system models use a "two-big-leaf" scheme that partitions canopies into direct and diffusively illuminated fractions to reduce high bias of GPP simulated by one-big-leaf models. Some two-big-leaf models, such as ACME (identical in this respect to CLM 4.5) add leaf area index (LAI) and stem area index (SAI) together when calculating canopy radiation transfer. This treatment, however, will result in higher fraction of sunlit leaves. It will also lead to an artificial overestimation of canopy nitrogen content. Here we introduce a new algorithm of simulating SAI in a two-big-leaf model. The new algorithm reduced the sunlit leave fraction of the canopy and conserved the nitrogen content from leaf to canopy level. The lower fraction of sunlit leaves reduced global GPP especially in tropical area. Compared to the default model, for the past 100 years (1909-2009), the averaged global annual GPP is lowered by 4.11 PgC year-1 using this new algorithm.

Modeling regeneration responses of big sagebrush (Artemisia tridentata) to abiotic conditions

USGS Publications Warehouse

Schlaepfer, Daniel R.; Lauenroth, William K.; Bradford, John B.

2014-01-01

Ecosystems dominated by big sagebrush, Artemisia tridentata Nuttall (Asteraceae), which are the most widespread ecosystems in semiarid western North America, have been affected by land use practices and invasive species. Loss of big sagebrush and the decline of associated species, such as greater sage-grouse, are a concern to land managers and conservationists. However, big sagebrush regeneration remains difficult to achieve by restoration and reclamation efforts and there is no regeneration simulation model available. We present here the first process-based, daily time-step, simulation model to predict yearly big sagebrush regeneration including relevant germination and seedling responses to abiotic factors. We estimated values, uncertainty, and importance of 27 model parameters using a total of 1435 site-years of observation. Our model explained 74% of variability of number of years with successful regeneration at 46 sites. It also achieved 60% overall accuracy predicting yearly regeneration success/failure. Our results identify specific future research needed to improve our understanding of big sagebrush regeneration, including data at the subspecies level and improved parameter estimates for start of seed dispersal, modified wet thermal-time model of germination, and soil water potential influences. We found that relationships between big sagebrush regeneration and climate conditions were site specific, varying across the distribution of big sagebrush. This indicates that statistical models based on climate are unsuitable for understanding range-wide regeneration patterns or for assessing the potential consequences of changing climate on sagebrush regeneration and underscores the value of this process-based model. We used our model to predict potential regeneration across the range of sagebrush ecosystems in the western United States, which confirmed that seedling survival is a limiting factor, whereas germination is not. Our results also suggested that modeled regeneration suitability is necessary but not sufficient to explain sagebrush presence. We conclude that future assessment of big sagebrush responses to climate change will need to account for responses of regenerative stages using a process-based understanding, such as provided by our model.

The big data-big model (BDBM) challenges in ecological research

NASA Astrophysics Data System (ADS)

Luo, Y.

2015-12-01

The field of ecology has become a big-data science in the past decades due to development of new sensors used in numerous studies in the ecological community. Many sensor networks have been established to collect data. For example, satellites, such as Terra and OCO-2 among others, have collected data relevant on global carbon cycle. Thousands of field manipulative experiments have been conducted to examine feedback of terrestrial carbon cycle to global changes. Networks of observations, such as FLUXNET, have measured land processes. In particular, the implementation of the National Ecological Observatory Network (NEON), which is designed to network different kinds of sensors at many locations over the nation, will generate large volumes of ecological data every day. The raw data from sensors from those networks offer an unprecedented opportunity for accelerating advances in our knowledge of ecological processes, educating teachers and students, supporting decision-making, testing ecological theory, and forecasting changes in ecosystem services. Currently, ecologists do not have the infrastructure in place to synthesize massive yet heterogeneous data into resources for decision support. It is urgent to develop an ecological forecasting system that can make the best use of multiple sources of data to assess long-term biosphere change and anticipate future states of ecosystem services at regional and continental scales. Forecasting relies on big models that describe major processes that underlie complex system dynamics. Ecological system models, despite great simplification of the real systems, are still complex in order to address real-world problems. For example, Community Land Model (CLM) incorporates thousands of processes related to energy balance, hydrology, and biogeochemistry. Integration of massive data from multiple big data sources with complex models has to tackle Big Data-Big Model (BDBM) challenges. Those challenges include interoperability of multiple, heterogeneous data sets; intractability of structural complexity of big models; equifinality of model structure selection and parameter estimation; and computational demand of global optimization with Big Models.

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)

Shoal bass hybridization in the Chattahoochee River Basin near Atlanta, Georgia

USGS Publications Warehouse

Taylor, Andrew T.; Tringali, Michael D.; O'Rourke, Patrick M.; Long, James M.

2018-01-01

The shoal bass (Micropterus cataractae) is a sportfish endemic to the Apalachicola-Chattahoochee-Flint Basin of the southeastern United States. Introgression with several non-native congeners poses a pertinent threat to shoal bass conservation, particularly in the altered habitats of the Chattahoochee River. Our primary objective was to characterize hybridization in shoal bass populations near Atlanta, Georgia, including a population inhabiting Big Creek and another in the main stem Chattahoochee River below Morgan Falls Dam (MFD). A secondary objective was to examine the accuracy of phenotypic identifications below MFD based on a simplified suite of characters examined in the field. Fish were genotyped with 16 microsatellite DNA markers, and results demonstrated that at least four black bass species were involved in introgressive hybridization. Of 62 fish genotyped from Big Creek, 27% were pure shoal bass and 65% represented either F1 hybrids of shoal bass x smallmouth bass (M. dolomieu) or unidirectional backcrosses towards shoal bass. Of 29 fish genotyped below MFD and downstream at Cochran Shoals, 45% were pure shoal bass. Six hybrid shoal bass included both F1 hybrids and backcrosses with non-natives including Alabama bass (M. henshalli), spotted bass (M. punctulatus), and smallmouth bass. Shoal bass alleles comprised only 21% of the overall genomic composition in Big Creek and 31% below MFD (when combined with Cochran Shoals). Phenotypic identification below MFD resulted in an overall correct classification rate of 86% when discerning pure shoal bass from all other non-natives and hybrids. Results suggest that although these two shoal bass populations feature some of the highest introgression rates documented, only a fleeting opportunity may exist to conserve pure shoal bass in both populations. Continued supplemental stocking of pure shoal bass below MFD appears warranted to thwart increased admixture among multiple black bass taxa, and a similar stocking program could benefit the Big Creek population. Further, selective removal of non-natives and hybrids, which appears to be practical with phenotypic identification, may provide increased benefits towards conserving genetic integrity of these shoal bass populations.

Shoal Bass hybridization below Morgan Falls Dam.

USGS Publications Warehouse

Taylor, Andrew T.; Tringali, Michael D.; O'Rourke, Patrick M.; Long, James M.

2018-01-01

The shoal bass (Micropterus cataractae) is a sportfish endemic to the Apalachicola-Chattahoochee-Flint Basin of the southeastern United States. Introgression with several non-native congeners poses a pertinent threat to shoal bass conservation, particularly in the altered habitats of the Chattahoochee River. Our primary objective was to characterize hybridization in shoal bass populations near Atlanta, Georgia, including a population inhabiting Big Creek and another in the main stem Chattahoochee River below Morgan Falls Dam (MFD). A secondary objective was to examine the accuracy of phenotypic identifications below MFD based on a simplified suite of characters examined in the field. Fish were genotyped with 16 microsatellite DNA markers, and results demonstrated that at least four black bass species were involved in introgressive hybridization. Of 62 fish genotyped from Big Creek, 27% were pure shoal bass and 65% represented either F1 hybrids of shoal bass x smallmouth bass (M. dolomieu) or unidirectional backcrosses towards shoal bass. Of 29 fish genotyped below MFD and downstream at Cochran Shoals, 45% were pure shoal bass. Six hybrid shoal bass included both F1 hybrids and backcrosses with non-natives including Alabama bass (M. henshalli), spotted bass (M. punctulatus), and smallmouth bass. Shoal bass alleles comprised only 21% of the overall genomic composition in Big Creek and 31% below MFD (when combined with Cochran Shoals). Phenotypic identification below MFD resulted in an overall correct classification rate of 86% when discerning pure shoal bass from all other non-natives and hybrids. Results suggest that although these two shoal bass populations feature some of the highest introgression rates documented, only a fleeting opportunity may exist to conserve pure shoal bass in both populations. Continued supplemental stocking of pure shoal bass below MFD appears warranted to thwart increased admixture among multiple black bass taxa, and a similar stocking program could benefit the Big Creek population. Further, selective removal of non-natives and hybrids, which appears to be practical with phenotypic identification, may provide increased benefits towards conserving genetic integrity of these shoal bass populations.

Hibernacula selection by Townsend's big-eared bat in Southwestern Colorado

USGS Publications Warehouse

Hayes, Mark A.; Schorr, Robert A.; Navo, Kirk W.

2011-01-01

In western United States, both mine reclamations and renewed mining at previously abandoned mines have increased substantially in the last decade. This increased activity may adversely impact bats that use these mines for roosting. Townsend's big-eared bat (Corynorhinus townsendii) is a species of conservation concern that may be impacted by ongoing mine reclamation and renewed mineral extraction. To help inform wildlife management decisions related to bat use of abandoned mine sites, we used logistic regression, Akaike's information criterion, and multi-model inference to investigate hibernacula use by Townsend's big-eared bats using 9 years of data from surveys inside abandoned mines in southwestern Colorado. Townsend's big-eared bats were found in 38 of 133 mines surveyed (29%), and occupied mines averaged 2.6 individuals per mine. The model explaining the most variability in our data included number of openings and portal temperature at abandoned mines. In southwestern Colorado, we found that abandoned mine sites with more than one opening and portal temperatures near 0°C were more likely to contain hibernating Townsend's big-eared bats. However, mines with only one opening and portal temperatures of ≥10°C were occasionally occupied by Townsend's big-eared bat. Understanding mine use by Townsend's big-eared bat can help guide decisions regarding allocation of resources and placement of bat-compatible closures at mine sites scheduled for reclamation. When feasible we believe that surveys should be conducted inside all abandoned mines in a reclamation project at least once during winter prior to making closure and reclamation recommendations.

Facilitymetrics for Big Ocean Science: Towards Improved Measurement of Scientific Impact

NASA Astrophysics Data System (ADS)

Juniper, K.; Owens, D.; Moran, K.; Pirenne, B.; Hallonsten, O.; Matthews, K.

2016-12-01

Cabled ocean observatories are examples of "Big Science" facilities requiring significant public investments for installation and ongoing maintenance. Large observatory networks in Canada and the United States, for example, have been established after extensive up-front planning and hundreds of millions of dollars in start-up costs. As such, they are analogous to particle accelerators and astronomical observatories, which may often be required to compete for public funding in an environment of ever-tightening national science budget allocations. Additionally, the globalization of Big Science compels these facilities to respond to increasing demands for demonstrable productivity, excellence and competitiveness. How should public expenditures on "Big Science" facilities be evaluated and justified in terms of benefits to the countries that invest in them? Published literature counts are one quantitative measure often highlighted in the annual reports of large science facilities. But, as recent research has demonstrated, publication counts can lead to distorted characterizations of scientific impact, inviting evaluators to calculate scientific outputs in terms of costs per publication—a ratio that can be simplistically misconstrued to conclude Big Science is wildly expensive. Other commonly promoted measurements of Big Science facilities include technical reliability (a.k.a. uptime), provision of training opportunities for Highly Qualified Personnel, generation of commercialization opportunities, and so forth. "Facilitymetrics" is a new empirical focus for scientometrical studies, which has been applied to the evaluation and comparison of synchrotron facilities. This paper extends that quantitative and qualitative examination to a broader inter-disciplinary comparison of Big Science facilities in the ocean science realm to established facilities in the fields of astronomy and particle physics.

Facilitymetrics for Big Ocean Science: Towards Improved Measurement of Scientific Impact

NASA Astrophysics Data System (ADS)

Juniper, K.; Owens, D.; Moran, K.; Pirenne, B.; Hallonsten, O.; Matthews, K.

2016-02-01

Cabled ocean observatories are examples of "Big Science" facilities requiring significant public investments for installation and ongoing maintenance. Large observatory networks in Canada and the United States, for example, have been established after extensive up-front planning and hundreds of millions of dollars in start-up costs. As such, they are analogous to particle accelerators and astronomical observatories, which may often be required to compete for public funding in an environment of ever-tightening national science budget allocations. Additionally, the globalization of Big Science compels these facilities to respond to increasing demands for demonstrable productivity, excellence and competitiveness. How should public expenditures on "Big Science" facilities be evaluated and justified in terms of benefits to the countries that invest in them? Published literature counts are one quantitative measure often highlighted in the annual reports of large science facilities. But, as recent research has demonstrated, publication counts can lead to distorted characterizations of scientific impact, inviting evaluators to calculate scientific outputs in terms of costs per publication—a ratio that can be simplistically misconstrued to conclude Big Science is wildly expensive. Other commonly promoted measurements of Big Science facilities include technical reliability (a.k.a. uptime), provision of training opportunities for Highly Qualified Personnel, generation of commercialization opportunities, and so forth. "Facilitymetrics" is a new empirical focus for scientometrical studies, which has been applied to the evaluation and comparison of synchrotron facilities. This paper extends that quantitative and qualitative examination to a broader inter-disciplinary comparison of Big Science facilities in the ocean science realm to established facilities in the fields of astronomy and particle physics.

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

Walston, L. J.; Cantwell, B. L.; Krummel, J. R.

Energy development has been occurring in the intermountain western United States for over a century, yet few studies have attempted to spatially quantify the impacts of this disturbance on native ecosystems. We used temporal remotely sensed data for the Pinedale Anticline Project Area (PAPA) in western Wyoming, a region that has experienced increased natural gas development within the past 10 yr, to quantify the spatiotemporal distribution of Wyoming big sagebrush Artemisia tridentata, natural gas development, and other landcover types. Our analyses included 5 Landsat Thematic Mapper (TM) images of the PAPA over a 22-yr period (1985-2006). We determined whether Wyomingmore » big sagebrush spatiotemporal patterns were associated with natural gas development or other landcover types. We also developed a footprint model to determine the direct and indirect impacts of natural gas development on the distribution of Wyoming big sagebrush habitats. Over the 22-yr period, we observed an inverse relationship between the amount of Wyoming big sagebrush habitat and natural gas development. During this time, Wyoming big sagebrush habitat declined linearly at a rate of 0.2% yr-1 (4.5% total net loss), whereas natural gas development increased exponentially at a rate of 20% yr-1 (4800% total net increase). Our evaluation indicated that, by 2006, natural gas development directly impacted 2.7% (1750 ha) of original Wyoming big sagebrush habitat. Indirect impacts, quantified to account for degraded habitat quality, affected as much as 58.5% (assuming 1000-m buffers) of the original Wyoming big sagebrush habitat. Integrating assessments of the direct and indirect impacts will yield a better elucidation of the overall effects of disturbances on ecosystem function and quality.« less

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.

Unsupervised learning in probabilistic neural networks with multi-state metal-oxide memristive synapses

NASA Astrophysics Data System (ADS)

Serb, Alexander; Bill, Johannes; Khiat, Ali; Berdan, Radu; Legenstein, Robert; Prodromakis, Themis

2016-09-01

In an increasingly data-rich world the need for developing computing systems that cannot only process, but ideally also interpret big data is becoming continuously more pressing. Brain-inspired concepts have shown great promise towards addressing this need. Here we demonstrate unsupervised learning in a probabilistic neural network that utilizes metal-oxide memristive devices as multi-state synapses. Our approach can be exploited for processing unlabelled data and can adapt to time-varying clusters that underlie incoming data by supporting the capability of reversible unsupervised learning. The potential of this work is showcased through the demonstration of successful learning in the presence of corrupted input data and probabilistic neurons, thus paving the way towards robust big-data processors.

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.

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.

Special mobile rescue unit can speed recovery

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

Not Available

1977-04-01

Since time is often a matter of life and death in a mine disaster, Mine Emergency Operations (MEO) personnel are prepared to begin rescue work at any mining site in the eastern part of the United States within six hours of notification, and within no more than nine hours in the western United States. The entire MEO force, including vans, trucks, bulldozers to clear and level the drilling site, seismic equipment, and the big drilling rig can be on any site within less than 20 hours of a disaster. The speed of deployment is made possible in some measure bymore » a special agreement between MESA and the United States Air Force, which stands ready 24 hours a day to dispatch giant C-130 cargo aircraft to airlift the tons of bulky MEO equipment. While the big drilling rig is usually taken to disaster sites by highway, it can also be airlifted when necessary.« less

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…

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…

A cost-benefit analysis of preventative management for zebra and quagga mussels in the Colorado-Big Thompson System

USGS Publications Warehouse

Thomas, Catherine M.

2010-01-01

Zebra and quagga mussels are fresh water invaders that have the potential to cause severe ecological and economic damage. It is estimated that mussels cause $1 billion dollars per year in damages to water infrastructure and industries in the United States (Pimentel et al., 2004). Following their introduction to the Great Lakes in the late 1980s, mussels spread rapidly throughout the Mississippi River Basin and the Eastern U.S. The mussel invasion in the West is young. Mussels were first identified in Nevada in 2007, and have since been identified in California, Arizona, Colorado, Utah, and Texas. Western water systems are very different from those found in the East. The rapid spread of mussels through the eastern system was facilitated by connected and navigable waterways. Western water systems are less connected and are characterized by man-made reservoirs and canals. The main vector of spread for mussels in the West is overland on recreational boats (Bossenbroek et al., 2001). In response to the invasion, many western water managers have implemented preventative management programs to slow the overland spread of mussels on recreational boats. In Colorado, the Colorado Department of Wildlife (CDOW) has implemented a mandatory boat inspection program that requires all trailered boats to be inspected before launching in any Colorado water body. The objective of this study is to analyze the costs and benefits of the CDOW boat inspection program in Colorado, and to identify variables that affect the net benefits of preventative management. Predicting the potential economic benefits of slowing the spread of mussels requires integrating information about mussel dispersal potential with estimates of control costs (Keller et al., 2009). Uncertainty surrounding the probabilities of establishment, the timing of invasions, and the damage costs associated with an invasion make a simulation model an excellent tool for addressing "what if" scenarios and shedding light on the net benefits of preventative management strategies. This study builds a bioeconomic simulation model to predict and compare the expected economic costs of the CDOW boat inspection program ot the benefits of reduced expected control costs to water conveyance systems, hydropower generation stations, and minicipal water treatment facilities. The model is based on a case study water delivery and storage system, the Colorado-Big Thompson system. The Colorado-Big Thomspon system is an excellent example of water systems in the Rocky Mountain West. The system is nearly entirely man-made, with all of its reservoirs and delivery points connected via pipelines, tunnels, and canals. The structures and hydropower systems of the Colorado-Big Thompson system are common to other western storage and delivery systems, making the methods and insight developed from this case study transferal to other western systems. The model developed in this study contributes to the bioeconomic literature in several ways. Foremost, the model predicts the spread of dreissena mussels and associated damage costs for a connected water system in the Rocky Mountain West. Very few zebra mussel studies have focused on western water systems. Another distinguishing factor is the simultaneous consideration of spread from propagules introduced by boats and by flows. Most zebra mussel dispersal models consider boater movement patterns combined with limnological characteristics as predictors of spread. A separate set of studies have addressed mussel spread via downstream flows. To the author's knowledge, this is the first study that builds a zebra mussel spread model that specifically accounts for propagule pressure from boat introductions and from downstream flow introductions. By modeling an entire connected system, the study highlights how the spatial layout of a system, and the risk of invasion within a system affect the benefits of preventative management. This report is presented in five chapters. The first chapter provides background information including a history of the zebra mussel invasion in the U.S. and in the West, and details about the Colorado preventative management program and the Colorado-Big Thompson system. The chapter also includes a literature review of mussel dispersal models and economic studies that address control costs and preventative management for aquatic invasive species. Chapter 2 presents the methodological approach used to analyze the costs and benefits of preventative management in the Colorado-Big Thompson system and provides details of the bioeconomic simulation model used to predict invasion patterns and the net benefits of preventative management. Results of the analysis and sensitivity testing of model parameters are presented in Chapter 3. Chapter 4 provides a summary of the analysis and conclusions. A discussion of the limitations of the model and areas for future research is presented in Chapter 5.

Joint Antarctic School Expedition - An International Collaboration for High School Students and Teachers on Antarctic Science

NASA Astrophysics Data System (ADS)

Botella, J.; Warburton, J.; Bartholow, S.; Reed, L. F.

2014-12-01

The Joint Antarctic School Expedition (JASE) is an international collaboration program between high school students and teachers from the United States and Chile aimed at providing the skills required for establishing the scientific international collaborations that our globalized world demands, and to develop a new approach for science education. The National Antarctic Programs of Chile and the United States worked together on a pilot program that brought high school students and teachers from both countries to Punta Arenas, Chile, in February 2014. The goals of this project included strengthening the partnership between the two countries, and building relationships between future generations of scientists, while developing the students' awareness of global scientific issues and expanding their knowledge and interest in Antarctica and polar science. A big component of the project involved the sharing by students of the acquired knowledge and experiences with the general public. JASE is based on the successful Chilean Antarctic Science Fair developed by Chile´s Antarctic Research Institute. For 10 years, small groups of Chilean students, each mentored by a teacher, perform experimental or bibliographical Antarctic research. Winning teams are awarded an expedition to the Chilean research station on King George Island. In 2014, the Chileans invited US participation in this program in order to strengthen science ties for upcoming generations. On King George Island, students have hands-on experiences conducting experiments and learning about field research. While the total number of students directly involved in the program is relatively small, the sharing of the experience by students with the general public is a novel approach to science education. Research experiences for students, like JASE, are important as they influence new direction for students in science learning, science interest, and help increase science knowledge. We will share experiences with the planning of the pilot program as well as the expedition itself. We also share the results of the assessment report prepared by an independent party. Lastly, we will offer recommendations for initiating international science education collaborations. United States participation was funded by the NSF Division of Polar Programs.

Water Exploration: An Online High School Water Resource Education Program

NASA Astrophysics Data System (ADS)

Ellins, K. K.; McCall, L. R.; Amos, S.; McGowan, R. F.; Mote, A.; Negrito, K.; Paloski, B.; Ryan, C.; Cameron, B.

2010-12-01

The Institute for Geophysics at The University of Texas at Austin and 4empowerment.com, a Texas-based for-profit educational enterprise, teamed up with the Texas Water Development Board to develop and implement a Web-based water resources education program for Texas high school students. The program, Water Exploration uses a project-based learning approach called the Legacy Cycle model to permit students to conduct research and build an understanding about water science and critical water-related issues, using the Internet and computer technology. The three Legacy Cycle modules in the Water Exploration curriculum are: Water Basics, Water-Earth Dynamics and People Need Water. Within each Legacy Cycle there are three different challenges, or instructional modules, laid out as projects with clearly stated goals for students to carry out. Each challenge address themes that map to the water-related “Big Ideas” and supporting concepts found in the new Earth Science Literacy Principles: The Big Ideas and Supporting Concepts of Earth Science. As students work through a challenge they follow a series of steps, each of which is associated (i.e., linked online) with a manageable number of corresponding, high quality, research-based learning activities and Internet resources, including scholarly articles, cyber tools, and visualizations intended to enhance understanding of the concepts presented. The culmination of each challenge is a set of “Go Public” products that are the students’ answers to the challenge and which serve as the final assessment for the challenge. The “Go Public” products are posted to a collaborative workspace on the Internet as the “legacy” of the students’ work, thereby allowing subsequent groups of students who take the challenge to add new products. Twenty-two science educators have been trained on the implementation of the Water Exploration curriculum. A graduate student pursuing a master’s degree in science education through The University of Texas’ UTEACH program is conducting research to track the teachers’ implementation of Water Exploration and assess their comfort with cyber-education through classroom observations, students and teacher surveys, and evaluation of students’ “Go Public” products.

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/

Effects of anisotropy and spatial curvature on the pre-big-bang scenario

NASA Astrophysics Data System (ADS)

Clancy, Dominic; Lidsey, James E.; Tavakol, Reza

1998-08-01

A class of exact, anisotropic cosmological solutions to the vacuum Brans-Dicke theory of gravity is considered within the context of the pre-big-bang scenario. Included in this class are the Bianchi type III, V and VIh models and the spatially isotropic, negatively curved Friedmann-Robertson-Walker universe. The effects of large anisotropy and spatial curvature are determined. In contrast with a negatively curved Friedmann-Robertson-Walker model, there exist regions of the parameter space in which the combined effects of curvature and anisotropy prevent the occurrence of inflation. When inflation is possible, the necessary and sufficient conditions for successful pre-big-bang inflation are more stringent than in the isotropic models. The initial state for these models is established and corresponds in general to a gravitational plane wave.

The Big Buy.

ERIC Educational Resources Information Center

Rittner-Heir, Robbin M.

2002-01-01

Describes the advantages and disadvantages of group purchasing. Forty-seven states have laws allowing group purchasing. Includes examples of group purchasing arrangements in Washington, California, New Mexico, and Kentucky. (PKP)

Accelerating large scale Kohn-Sham density functional theory calculations with semi-local functionals and hybrid functionals

NASA Astrophysics Data System (ADS)

Lin, Lin

The computational cost of standard Kohn-Sham density functional theory (KSDFT) calculations scale cubically with respect to the system size, which limits its use in large scale applications. In recent years, we have developed an alternative procedure called the pole expansion and selected inversion (PEXSI) method. The PEXSI method solves KSDFT without solving any eigenvalue and eigenvector, and directly evaluates physical quantities including electron density, energy, atomic force, density of states, and local density of states. The overall algorithm scales as at most quadratically for all materials including insulators, semiconductors and the difficult metallic systems. The PEXSI method can be efficiently parallelized over 10,000 - 100,000 processors on high performance machines. The PEXSI method has been integrated into a number of community electronic structure software packages such as ATK, BigDFT, CP2K, DGDFT, FHI-aims and SIESTA, and has been used in a number of applications with 2D materials beyond 10,000 atoms. The PEXSI method works for LDA, GGA and meta-GGA functionals. The mathematical structure for hybrid functional KSDFT calculations is significantly different. I will also discuss recent progress on using adaptive compressed exchange method for accelerating hybrid functional calculations. DOE SciDAC Program, DOE CAMERA Program, LBNL LDRD, Sloan Fellowship.

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

50 CFR 32.57 - Pennsylvania.

Code of Federal Regulations, 2013 CFR

2013-10-01

..., raccoon, fox, coyote, skunk, and opossum on designated areas of the refuge in accordance with State... refuge. D. Sport Fishing. We allow fishing on designated areas of the refuge in accordance with State.... [Reserved] C. Big Game Hunting. [Reserved] D. Sport Fishing. We allow sport fishing on the refuge in...

50 CFR 32.57 - Pennsylvania.

Code of Federal Regulations, 2012 CFR

2012-10-01

..., raccoon, fox, coyote, skunk, and opossum on designated areas of the refuge in accordance with State... refuge. D. Sport Fishing. We allow fishing on designated areas of the refuge in accordance with State.... [Reserved] C. Big Game Hunting. [Reserved] D. Sport Fishing. We allow sport fishing on the refuge in...

50 CFR 32.57 - Pennsylvania.

Code of Federal Regulations, 2011 CFR

2011-10-01

..., raccoon, fox, coyote, skunk, and opossum on designated areas of the refuge in accordance with State... refuge. D. Sport Fishing. We allow fishing on designated areas of the refuge in accordance with State.... [Reserved] C. Big Game Hunting. [Reserved] D. Sport Fishing. We allow sport fishing on the refuge in...

The effect of exercise and childbirth classes on fear of childbirth and locus of labor pain control.

PubMed

Guszkowska, Monika

2014-01-01

This study sought to track changes in intensity of fear of childbirth and locus of labor pain control in women attending an exercise program for pregnant women or traditional childbirth classes and to identify the predictors of these changes. The study was longitudinal/non-experimental in nature and run on 109 healthy primigravidae aged from 22 to 37, including 62 women participating in an exercise program for pregnant women and 47 women attending traditional childbirth classes. The following assessment tools were used: two scales developed by the present authors - the Fear of Childbirth Scale and the Control of Birth Pain Scale, three standardized psychological inventories for the big five personality traits (NEO Five Factors Inventory), trait anxiety (State-Trait Anxiety Inventory) and dispositional optimism (Life Oriented Test-Revised) and a questionnaire concerning socioeconomic status, health status, activities during pregnancy, relations with partners and expectations about childbirth. Fear of childbirth significantly decreased in women participating in the exercise program for pregnant women but not in women attending traditional childbirth classes. Several significant predictors of post-intervention fear of childbirth emerged: dispositional optimism and self-rated health (negative) and strength of the belief that childbirth pain depends on chance (positive).

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

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.

Habitat use of woodpeckers in the Big Woods of eastern Arkansas

USGS Publications Warehouse

Krementz, David G.; Lehnen, Sarah E.; Luscier, J.D.

2012-01-01

The Big Woods of eastern Arkansas contain some of the highest densities of woodpeckers recorded within bottomland hardwood forests of the southeastern United States. A better understanding of habitat use patterns by these woodpeckers is a priority for conservationists seeking to maintain these high densities in the Big Woods and the Lower Mississippi Alluvial Valley as a whole. Hence, we used linear mixed-effects and linear models to estimate the importance of habitat characteristics to woodpecker density in the Big Woods during the breeding seasons of 2006 and 2007 and the winter of 2007. Northern flicker Colaptes auratus density was negatively related to tree density both for moderate (. 25 cm diameter at breast height) and larger trees (>61 cm diameter at breast height). Red-headed woodpeckers Melanerpes erythrocephalus also had a negative relationship with density of large (. 61 cm diameter at breast height) trees. Bark disfiguration (an index of tree health) was negatively related to red-bellied woodpecker Melanerpes carolinus and yellow-bellied sapsucker Sphyrapicus varius densities. No measured habitat variables explained pileated woodpecker Dryocopus pileatus density. Overall, the high densities of woodpeckers observed in our study suggest that the current forest management of the Big Woods of Arkansas is meeting the nesting, roosting, and foraging requirements for these birds.

1976 Big Thompson flood, Colorado

USGS Publications Warehouse

Jarrett, R. D.; Vandas, S.J.

2006-01-01

In the early evening of July 31, 1976, a large stationary thunderstorm released as much as 7.5 inches of rainfall in about an hour (about 12 inches in a few hours) in the upper reaches of the Big Thompson River drainage. This large amount of rainfall in such a short period of time produced a flash flood that caught residents and tourists by surprise. The immense volume of water that churned down the narrow Big Thompson Canyon scoured the river channel and destroyed everything in its path, including 418 homes, 52 businesses, numerous bridges, paved and unpaved roads, power and telephone lines, and many other structures. The tragedy claimed the lives of 144 people. Scores of other people narrowly escaped with their lives. The Big Thompson flood ranks among the deadliest of Colorado's recorded floods. It is one of several destructive floods in the United States that has shown the necessity of conducting research to determine the causes and effects of floods. The U.S. Geological Survey (USGS) conducts research and operates a Nationwide streamgage network to help understand and predict the magnitude and likelihood of large streamflow events such as the Big Thompson Flood. Such research and streamgage information are part of an ongoing USGS effort to reduce flood hazards and to increase public awareness.

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)

Water quality and trend analysis of Colorado--Big Thompson system reservoirs and related conveyances, 1969 through 2000

USGS Publications Warehouse

Stevens, Michael R.

2003-01-01

The U.S. Geological Survey, in an ongoing cooperative monitoring program with the Northern Colorado Water Conservancy District, Bureau of Reclamation, and City of Fort Collins, has collected water-quality data in north-central Colorado since 1969 in reservoirs and conveyances, such as canals and tunnels, related to the Colorado?Big Thompson Project, a water-storage, collection, and distribution system. Ongoing changes in water use among agricultural and municipal users on the eastern slope of the Rocky Mountains in Colorado, changing land use in reservoir watersheds, and other water-quality issues among Northern Colorado Water Conservancy District customers necessitated a reexamination of water-quality trends in the Colorado?Big Thompson system reservoirs and related conveyances. The sampling sites are on reservoirs, canals, and tunnels in the headwaters of the Colorado River (on the western side of the transcontinental diversion operations) and the headwaters of the Big Thompson River (on the eastern side of the transcontinental diversion operations). Carter Lake Reservoir and Horsetooth Reservoir are off-channel water-storage facilities, located in the foothills of the northern Colorado Front Range, for water supplied from the Colorado?Big Thompson Project. The length of water-quality record ranges from approximately 3 to 30 years depending on the site and the type of measurement or constituent. Changes in sampling frequency, analytical methods, and minimum reporting limits have occurred repeatedly over the period of record. The objective of this report was to complete a retrospective water-quality and trend analysis of reservoir profiles, nutrients, major ions, selected trace elements, chlorophyll-a, and hypolimnetic oxygen data from 1969 through 2000 in Lake Granby, Shadow Mountain Lake, and the Granby Pump Canal in Grand County, Colorado, and Horsetooth Reservoir, Carter Lake, Lake Estes, Alva B. Adams Tunnel, and Olympus Tunnel in Larimer County, Colorado. This report summarizes and assesses: Water-quality and field-measurement profile data collected by the U.S. Geological Survey and stored in the U.S. Geological Survey National Water Information System, Time-series trends of chemical constituents and physical properties, Trends in oxygen deficits in the hypolimnion of the reservoirs in the late summer season by the seasonal Kendall trend test method, Nutrient limitation and trophic status indicators, and Water-quality data in terms of Colorado water-quality standards. Water quality was generally acceptable for primary uses throughout the Colorado?Big Thompson system over the site periods of record, which are all within the span of 1969 to 2000. Dissolved solids and nutrient concentrations were low and typical of a forested/mountainous/crystalline bedrock hydrologic setting. Most of the more toxic trace elements were rarely detected or were found in low concentrations, due at least in part to a relative lack of ore-mineral deposits within the drainage areas of the Colorado?Big Thompson Project. Constituent concentrations consistently met water-quality standard thresholds set by the State of Colorado. Trophic-State Index Values indicated mesotrophic conditions generally prevailed at reservoirs, based on available Secchi depth, total phosphorus concentrations, and chlorophyll-a concentrations. Based on plots of time-series values and concentrations and seasonal Kendall nonparametric trends testing, dissolved solids and most major ions are decreasing at most sites. Many of the nutrient data did not meet the minimum criteria for time-series testing; but for those that did, nutrient concentrations were generally stable (no statistical trend) or decreasing (ammonia plus organic nitrogen and total phosphorus). Iron and manganese concentrations were stable or decreasing at most sites that met testing criteria. Chlorophyll-a data were only collected for 11 years but generally indicated quasi-stable or d

Visualizing the knowledge structure and evolution of big data research in healthcare informatics.

PubMed

Gu, Dongxiao; Li, Jingjing; Li, Xingguo; Liang, Changyong

2017-02-01

In recent years, the literature associated with healthcare big data has grown rapidly, but few studies have used bibliometrics and a visualization approach to conduct deep mining and reveal a panorama of the healthcare big data field. To explore the foundational knowledge and research hotspots of big data research in the field of healthcare informatics, this study conducted a series of bibliometric analyses on the related literature, including papers' production trends in the field and the trend of each paper's co-author number, the distribution of core institutions and countries, the core literature distribution, the related information of prolific authors and innovation paths in the field, a keyword co-occurrence analysis, and research hotspots and trends for the future. By conducting a literature content analysis and structure analysis, we found the following: (a) In the early stage, researchers from the United States, the People's Republic of China, the United Kingdom, and Germany made the most contributions to the literature associated with healthcare big data research and the innovation path in this field. (b) The innovation path in healthcare big data consists of three stages: the disease early detection, diagnosis, treatment, and prognosis phase, the life and health promotion phase, and the nursing phase. (c) Research hotspots are mainly concentrated in three dimensions: the disease dimension (e.g., epidemiology, breast cancer, obesity, and diabetes), the technical dimension (e.g., data mining and machine learning), and the health service dimension (e.g., customized service and elderly nursing). This study will provide scholars in the healthcare informatics community with panoramic knowledge of healthcare big data research, as well as research hotspots and future research directions. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.