2,145 research outputs found

    Science and Engineering Labor Force

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    [Excerpt] Like most developed economies, the United States increasingly depends on a technically skilled workforce, including scientists and engineers. Workers for whom knowledge and skill in S&E are central to their jobs have an effect on the economy and the wider society that is disproportionate to their numbers: they contribute to research and development, increased knowledge, technological innovation, and economic growth. Moreover, the knowledge and skills associated with science and engineering have diffused across occupations and become more important in jobs that are not traditionally associated with S&E

    National Science Foundation Workshop on Food Safety Global Supply Chain Needs Final Report

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    The objective of the NSF Food Safety Global Supply Chain Needs workshop was to provide a forum for disseminating information and sharing ideas about the frontiers of food safety research, education, and technology transfer. The workshop discussed the current state-of-the-art and future potential of food safety technology, analyzed the gaps between the future potential and the present reality, and identified what needs to be done in the areas of research, education, and technology transfer in order to close the gaps. The workshop was a two-day event (October 29-30, 2014) in Alexandria, Virginia. The workshop covered four themes: 1) Processes, 2) Global Trends, 3) Packaging, and 4) Supply Network Risk Management. Forty-one speakers, representing thought leaders from government, academia, and industry, presented brief six-minute white papers to summarize their research goals, and to discuss specific needs that could be addressed though NSF participation in funding in food safety. This workshop had 71 participants, including the white paper presenters, keynote speakers, and representatives of government agencies. The ideas presented by the speakers and generated from the discussion sessions are summarized in this final project report. This report will be delivered to all workshop participants and relevant funding agencies as well as disseminated widely to industry, government, and academic stakeholders

    Women, Minorities, and Persons with Disabilities in Science and Engineering: 2015

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    Women, Minorities, and Persons with Disabilities in Science and Engineering provides statistical information about the participation of these three groups in science and engineering education and employment. Its primary purpose is to serve as an information source. It offers no endorsement of or recommendations about policies or programs. National Science Foundation reporting on this topic is mandated by the Science and Engineering Equal Opportunities Act (Public Law 96-516). This digest highlights key statistics drawn from a wide variety of data sources. Data and figures in this digest are organized into topical areas—enrollment, field of degree, occupation, employment status, and academic employment. Surveys conducted by the National Center for Science and Engineering Statistics (NCSES) at the National Science Foundation provided a large portion of the data used in this report. NCSES has a central role in the collection, interpretation, analysis, and dissemination of objective data on the science and engineering enterprise

    How home country weaknesses can constrain EMNE growth: the example of India

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    This paper discusses the opportunities and limitations that the location-specific (L) assets of the home country represent for MNEs, particularly at the early stages of internationalization. The systemic weaknesses of the home country can constrain the long-term competitiveness of its firms, and ultimately, the competitiveness of its MNEs. It is the contention of this paper that many of the emerging countries have a constrained set of L assets from which their firms are able to develop ownership-specific assets. Are their economies developing improved L assets that will promote a new generation of EMNEs? We examine data for the case of India, an economy regarded as having considerable potential to expand to knowledge-intensive sectors. At the macro level, India’s performance is not different from countries of similar economic structure, and its current pockets of excellence are a reflection of its L assets. Our analysis suggests that the failure to foster and upgrade the L assets of emerging economies is likely to stunt the growth of their domestic firms, and ultimately any new MNE activity in the long-term

    Almost sure and moment exponential stability of Euler-Maruyama discretizations for hybrid stochastic differential equations

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    Positive results are derived concerning the long time dynamics of numerical simulations of stochastic differential equation systems with Markovian switching. Euler-Maruyama discretizations are shown to capture almost sure and momente xponential stability for all sufficiently small timesteps under appropriate conditions

    A systematic approach in analyzing sustained oscillations in an NF-kB signal transduction pathway system

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    Oscillation phenomenon is very common in biological systems. It is crucial to study oscillatory behaviors to understand gene regulation functions. Model-based analysis in combination with experimental study provides a new and systematic way to investigate biological oscillations. The nuclear factor-kB (NF-kB) signaling is an important signaling pathway that is involved in a variety of cellular processes including immune response, inflammation, and apoptosis. Recent studies revealed damped oscillations of NF-kB activity both experimentally and computationally, etc. In this work, based on a differential equation model, bifurcation analysis was used to examine whether it was possible for this system to produce sustained oscillations (limit cycle oscillations) rather than damped oscillations. Both one- and two-parameter bifurcation analyses have been performed and it was found that certain conditions could possibly result in sustained oscillations of nuclear NF-kB activity. The parameter regimes corresponding to such oscillations were calculated with this method

    Asymptotic properties of stochastic population dynamics

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    In this paper we stochastically perturb the classical Lotka{Volterra model x_ (t) = diag(x1(t); ; xn(t))[b + Ax(t)] into the stochastic dierential equation dx(t) = diag(x1(t); ; xn(t))[(b + Ax(t))dt + dw(t)]: The main aim is to study the asymptotic properties of the solution. It is known (see e.g. [3, 20]) if the noise is too large then the population may become extinct with probability one. Our main aim here is to nd out what happens if the noise is relatively small. In this paper we will establish some new asymptotic properties for the moments as well as for the sample paths of the solution. In particular, we will discuss the limit of the average in time of the sample paths
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