The NYSF expects to develop ﬁnancial support through public and private initiatives to complete the necessary improvements at CVI and the NCYSE. The NYSF anticipates requesting to be recognized as a Regional Network Hub in the West Virginia STEM Network as proposed by the Governor’s STEM Council. A Regional Network HUB serves as the nucleus of STEM activity within a geographic region.
The PolarEDHub that is housed at Elizabeth City State University (ECSU) is created with the software package named HUBzero. The importance of the PolarEDHub is that it allows K-12 educators to teach students and to motivate them to become more involved in STEM related fields. HUBzero is an open source software package used to construct web sites for scientific research and educational activities. HUBzero was originally created by researchers at Indiana University – Purdue University Indianapolis (IUPUI) in conjunction with the NationalScienceFoundation (NSF) who sponsored the Network for Computational Nanotechnology to support nanoHUB.org. The HUBzero platform
(a) ESTABLISHMENT- As part of the Program, the NationalScienceFoundation, the Department of Defense, the Department of Energy, the Department of Commerce, the National Aeronautics and Space Administration, and other agencies participating in the Program shall support the establishment of the National Research and Education Network, portions of which shall, to the extent technically feasible, be capable of transmitting data at one gigabit per second or greater by 1996. The Network shall provide for the linkage of research institutions and educational institutions, government, and industry in every State.
The Grantee may retain rights in technical data, including software developed under this grant, except that the Government shall have the right to use such data for Governmental purposes. The Final Technical Report delivered under this grant, including technical data, may be made available to the public by the Government, except for that portion of the report containing technical data properly identified and marked as set forth below. To the extent permitted by law, the Government will not release properly marked technical data (such as data relating to an invention or software) outside the Government, except for evaluation purposes, for a period of four years from the expiration of the Phase II grant or of the Phase I grant, when no Phase II award is made, without approval of the Grantee. The Grantee must properly identify such data and set it off on a separate page in any submission to the Foundation. Such data must be clearly labeled as proprietary and marked with a legend similar to the following:
The input signal provides the information of smoke, CO and temperature. The output of the network includes the probability of open fire, smoldering fire and no fire. So the number of the nodes in the network’s input layer and output layer is both 3. There is no clear rules on choosing how many hidden nodes is appropriate. So we take the commonly used empirical formula which is as follows :
and for helpful discussions and comments on all stages of this work. We thank the Fermilab staff and the technical staffs of the participating institutions for their vital contri- butions. This work was supported by the U.S. Department of Energy and NationalScienceFoundation; the Italian Istituto Nazionale di Fisica Nucleare; the Ministry of Education, Science, Sports and Culture of Japan; the Natural Sciences and Engineering Research Council of Canada; the NationalScience Council of the Republic of China; the Swiss NationalScienceFoundation; the A. P. Sloan Foundation; the Bundesministerium fuer Bildung und Forschung, Germany; the Korea Science and Engineering Foundation (KoSEF); the Korea Research Foundation; and the Comision Interministerial de Ciencia y Tecnologia, Spain.
Several studies have also examined, both conceptually and empirically, how differences in graduate training in the U.S. affect students’ chances for success. Taken together, these point to the importance of the graduate school experience, expressed interest in graduate school, clarity of expectations, faculty mentoring and guidance, student socialization into academic communities, a belief in the traditional norms of science, and the successful training of doctoral students (Anderson & Louis, 1994; Anderson, Oju, & Falkner, 2001; Anderson & Swazey, 1998; Ehrenberg, Jakubsen, Groen, So, & Price, 2007; Solem, Lee, & Schlemper, 2008; Weiler, 1993). Another set of studies also highlight the importance of financial support in reducing attrition and fostering completion, and reveal that opportunity costs and labor market conditions (including starting salaries of Ph.D.s, academic ratings and prestige of graduate programs, and student perceptions of both pecuniary and nonpecuniary characteristics of academic
work was supported by the U.S. Department of Energy and NationalScienceFoundation; the Italian Istituto Nazionale di Fisica Nucleare; the Ministry of Education, Culture, Sports, Science, and Technology of Japan; the Natural Sciences and Engineering Re- search Council of Canada; the NationalScience Council of the Republic of China; the Swiss NationalScienceFoundation; the A. P. Sloan Foundation; the Bundesministerium fu¨r Bildung und Forschung, Germany; the Korea Science and Engineering Foundation; the Korea Research Foundation; and the Comision Interministerial de Ciencia y Tecnologia, Spain.
University of Texas Austin (2007), Instituto Federal Electoral and El Colegio de México (2006), Wesleyan University (2006), China Reform Forum, Beijing (2005), University of California, San Diego (2005), University of Illinois (2004), University of Notre Dame (2004), Russell Sage Foundation (2004), Northwestern University (2004), Universidad Nacional de Córdoba, Argentina (2003), Washington University (2001), University of Pittsburg (2001), Universidad Tres de Febrero, Buenos Aires (2000), University of Pennsylvania (2000), University of Kansas (1998), Duke Univeristy (1998), George Washington University (1997), Universidad Nacional Mar del Plata (1995), Instituto de Estudios Peruanos, Lima (1993), Olof Palme Foundation, Barcelona (1993)
Most students accepted into the ESE M.S. program have Bachelors (or equivalent) degrees in biology, chemistry, geoscience, physics, engineering, or related disciplines (e.g., computer science). Students can come after working as professionals, or after graduating from their undergraduate universities.
Trends in academic scientific articles with industry participation also suggest a recent decline in industry- university collaboration (table 2). The percentage of all academic articles with an industry coauthor increased steadily between 1993 and 2001 but declined in both 2002 and 2003. Industry participation showed the same trend when the set of academic articles was limited to those whose coauthors were from a sector other than academe (industry, government, not-for-profit) or were foreign. Fewer citations of U.S. science and engineering (S&E) articles in U.S. industrial patents may also be suggestive
Acknowledgements: Thanks to Roland Kuhn and Anna Kazantseva, National Research Council of Canada who are part of the organizing committee for the upcoming workshop on Polysynthetic Languages to be held at COLING 2018, in Santa Fe, New Mexico on August 25, 2018. This workshop will be the first where both researchers and practitioners working on polysynthetic languages will discuss common problems and difficulties, and it is intended as the capstone to establishing possible collaborations and ongoing partnerships. We acknowledge Lori Levin, Carnegie Mellon University, for many helpful discussions on the nature of polysynthesis, and we are grateful to Maria Polinsky, University of Maryland, and Omer Preminger, University of Maryland, for enabling us to dig even deeper into some of the more fine-grained aspects of polysynthesis. All errors are, of course, our own.
The decision to migrate after graduation is complicated by a number of influential factors. After graduation from college, individuals who live in areas that do not provide job opportunities related to their degree must decide to either stay in that area and take a job that is unrelated to their degree, or move to an area that will provide relevant degree related opportunities. As we have seen, the decision to move can have profound effects on the economy of a given area. Understanding the individual level factors that influence this decision is very important to policy makers and many businesses looking to recruit key talent. In combination, the results of the articles reviewed in the previous sections shape the current research questions regarding individual level predictors of migration and retention for science and technology workers. In general, there were several variables that appeared to have a significant impact on the decision to migrate. The variables studied in the previous sections can be classified into regional, organizational, and individual level variable domains. The following section summarizes what is known and what is not known about migration and employment within these variable domains.
spectrometer was ﬂ own on the NationalScienceFoundation/National Center for Atmospheric Research C-130 during the Wintertime INvestigation of Transport, Emissions, and Reactivity (WINTER) 2015 campaign in the northeast United States. The fraction of boundary layer submicron aerosol that was organic aerosol (OA) was about a factor of 2 smaller than during a 2011 summertime study in a similar region. However, the OA measured in WINTER was almost as oxidized as OA measured in several other studies in warmer months of the year. Fifty-eight percent of the OA was oxygenated (secondary), and 42% was primary (POA). Biomass burning OA (likely from residential heating) was ubiquitous and accounted for 33% of the OA mass. Using nonvolatile POA, one of two default secondary OA (SOA) formulations in GEOS-Chem (v10-01) shows very large underpredictions of SOA and O/C (5×) and overprediction of POA (2×). We strongly recommend against using that formulation in future studies. Semivolatile POA, an alternative default in GEOS-Chem, or a simpli ﬁ ed parameterization (SIMPLE) were closer to the observations, although still with substantial differences. A case study of urban out ﬂ ow from metropolitan New York City showed a consistent amount and normalized rate of added OA mass (due to SOA formation) compared to summer studies, although proceeding more slowly due to lower OH concentrations. A box model and SIMPLE perform similarly for WINTER as for Los Angeles, with an underprediction at ages < 6 hr, suggesting that fast chemistry might be missing from the models.
Invited lead presenter, “Illustrating Social Network Analysis’s Potential for I-O Psychology: Workplace Interpersonal Affect,” Friday Seminar at Society for Industrial Organizational Psychology, New Orleans, LA, April 2009 (with Jonathan L. Johnson and Hock-Peng Sin). Invited discussant, “Network Evolution: Bridging the Divide Across the Levels of Analysis” at
Olmstead, G., Johnson, C.S., Stegman, C., Beshears, C., Blackford, K., Neuhaus, T., Nickens, B., & Graham, K. (2009). Arkansas Education Renewal Zone (ERZ) Initiative Northwest 2 ERZ Case Study Program Evaluation Year 4 2008-2009. National Office for Research on Measurement and Evaluation Systems (NORMES), University of Arkansas, Fayetteville, Arkansas. Submitted to Arkansas Department of Education.
NationalScienceFoundation, Alliance for Graduate Education and the Professoriate, National Con- ference Attendee and Panelist, University of Texas at Austin, Austin, Texas, April 19, 2010. Instructor, Undergraduate Research - Independent Study Course (25 students), Department of Po- litical Science, University of California, Santa Barbara, Spring Quarter 2009.