774 research outputs found

    Research to Support the Determination of Spacecraft Maximum Acceptable Concentrations of Potential Atmospheric Contaminants

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    In many ways, the typical approach to the handling of bibliographic material for generating review articles and similar manuscripts has changed little since the use of xerographic reproduction has become widespread. The basic approach is to collect reprints of the relevant material and place it in folders or stacks based on its dominant content. As the amount of information available increases with the passage of time, the viability of this mechanical approach to bibliographic management decreases. The personal computer revolution has changed the way we deal with many familiar tasks. For example, word processing on personal computers has supplanted the typewriter for many applications. Similarly, spreadsheets have not only replaced many routine uses of calculators but have also made possible new applications because the cost of calculation is extremely low. Objective The objective of this research was to use personal computer bibliographic software technology to support the determination of spacecraft maximum acceptable concentration (SMAC) values. Specific Aims The specific aims were to produce draft SMAC documents for hydrogen sulfide and tetrachloroethylene taking maximum advantage of the bibliographic software

    Priorities and Principles for Investment in Aquaculture Research by NSW Department of Primary Industries

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    This review examined the characteristics of the main aquaculture industries in NSW with respect to current impediments to growth, market development and future opportunities. Within this context, it examined the nature, funding and impacts of the NSW Department of Primary Industries’ current and proposed investments in aquaculture R&D and industry development, as well as its alignment with DPI and industry priorities.aquaculture, research evaluation, public good, Agribusiness, Livestock Production/Industries, Research and Development/Tech Change/Emerging Technologies, Q160,

    Program Applicants as a Comparison Group in Evaluating Training Programs: Theory and a Test

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    The authors begin with a thorough assessment of the many nonexperimental employment and training program evaluation techniques based on non-random comparison groups. These techniques typically use econometric methods to estimate the effects of employment and training programs by using comparison groups from non-program external sources. Then, recognizing the inherent drawbacks in these methods, Bell, Orr, Blomquist and Cain respond by reintroducing an evaluation method first implemented in the 1960s, the use of internal comparison groups consisting of nonparticipating program applicants. These groups include withdrawals, screen-outs and no-shows of the programs being evaluated in order to solve the selection bias problem. By applying to the program, say the authors, nonparticipating applicants reveal themselves to have some of the same difficult-to-measure, personal characteristics that inspire participants to seek help in response to their current economic situation. The methodology of this technique is updated, then tested against the random experimental findings derived from a controlled job training experiment, the AFDC Homemaker-Home Health Aide Demonstrations. Encouraging results are presented along with useful suggestions for designers and implementers of all types of program evaluations.https://research.upjohn.org/up_press/1080/thumbnail.jp

    Methods Used to Evaluate Employment and Training Programs in the Past

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    The authors begin with a thorough assessment of the many nonexperimental employment and training program evaluation techniques based on non-random comparison groups. These techniques typically use econometric methods to estimate the effects of employment and training programs by using comparison groups from non-program external sources. Then, recognizing the inherent drawbacks in these methods, Bell, Orr, Blomquist and Cain respond by reintroducing an evaluation method first implemented in the 1960s, the use of internal comparison groups consisting of nonparticipating program applicants. These groups include withdrawals, screen-outs and no-shows of the programs being evaluated in order to solve the selection bias problem. By applying to the program, say the authors, nonparticipating applicants reveal themselves to have some of the same difficult-to-measure, personal characteristics that inspire participants to seek help in response to their current economic situation. The methodology of this technique is updated, then tested against the random experimental findings derived from a controlled job training experiment, the AFDC Homemaker-Home Health Aide Demonstrations. Encouraging results are presented along with useful suggestions for designers and implementers of all types of program evaluations.https://research.upjohn.org/up_press/1080/thumbnail.jp

    Monotonicity of Fitness Landscapes and Mutation Rate Control

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    A common view in evolutionary biology is that mutation rates are minimised. However, studies in combinatorial optimisation and search have shown a clear advantage of using variable mutation rates as a control parameter to optimise the performance of evolutionary algorithms. Much biological theory in this area is based on Ronald Fisher's work, who used Euclidean geometry to study the relation between mutation size and expected fitness of the offspring in infinite phenotypic spaces. Here we reconsider this theory based on the alternative geometry of discrete and finite spaces of DNA sequences. First, we consider the geometric case of fitness being isomorphic to distance from an optimum, and show how problems of optimal mutation rate control can be solved exactly or approximately depending on additional constraints of the problem. Then we consider the general case of fitness communicating only partial information about the distance. We define weak monotonicity of fitness landscapes and prove that this property holds in all landscapes that are continuous and open at the optimum. This theoretical result motivates our hypothesis that optimal mutation rate functions in such landscapes will increase when fitness decreases in some neighbourhood of an optimum, resembling the control functions derived in the geometric case. We test this hypothesis experimentally by analysing approximately optimal mutation rate control functions in 115 complete landscapes of binding scores between DNA sequences and transcription factors. Our findings support the hypothesis and find that the increase of mutation rate is more rapid in landscapes that are less monotonic (more rugged). We discuss the relevance of these findings to living organisms

    Sea Louse Infection of Juvenile Sockeye Salmon in Relation to Marine Salmon Farms on Canada's West Coast

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    BACKGROUND: Pathogens are growing threats to wildlife. The rapid growth of marine salmon farms over the past two decades has increased host abundance for pathogenic sea lice in coastal waters, and wild juvenile salmon swimming past farms are frequently infected with lice. Here we report the first investigation of the potential role of salmon farms in transmitting sea lice to juvenile sockeye salmon (Oncorhynchus nerka). METHODOLOGY/PRINCIPAL FINDINGS: We used genetic analyses to determine the origin of sockeye from Canada's two most important salmon rivers, the Fraser and Skeena; Fraser sockeye migrate through a region with salmon farms, and Skeena sockeye do not. We compared lice levels between Fraser and Skeena juvenile sockeye, and within the salmon farm region we compared lice levels on wild fish either before or after migration past farms. We matched the latter data on wild juveniles with sea lice data concurrently gathered on farms. Fraser River sockeye migrating through a region with salmon farms hosted an order of magnitude more sea lice than Skeena River populations, where there are no farms. Lice abundances on juvenile sockeye in the salmon farm region were substantially higher downstream of farms than upstream of farms for the two common species of lice: Caligus clemensi and Lepeophtheirus salmonis, and changes in their proportions between two years matched changes on the fish farms. Mixed-effects models show that position relative to salmon farms best explained C. clemensi abundance on sockeye, while migration year combined with position relative to salmon farms and temperature was one of two top models to explain L. salmonis abundance. CONCLUSIONS/SIGNIFICANCE: This is the first study to demonstrate a potential role of salmon farms in sea lice transmission to juvenile sockeye salmon during their critical early marine migration. Moreover, it demonstrates a major migration corridor past farms for sockeye that originated in the Fraser River, a complex of populations that are the subject of conservation concern

    Quasars and the Big Blue Bump

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    We investigate the ultraviolet-to-optical spectral energy distributions (SEDs) of 17 active galactic nuclei (AGNs) using quasi-simultaneous spectrophotometry spanning 900-9000 Angstrom (rest frame). We employ data from the Far Ultraviolet Spectroscopic Explorer (FUSE), the Hubble Space Telescope (HST), and the 2.1-meter telescope at Kitt Peak National Observatory (KPNO). Taking advantage of the short-wavelength coverage, we are able to study the so-called "big blue bump," the region where the energy output peaks, in detail. Most objects exhibit a spectral break around 1100 Angstrom. Although this result is formally associated with large uncertainty for some objects, there is strong evidence in the data that the far-ultraviolet spectral region is below the extrapolation of the near-ultraviolet-optical slope, indicating a spectral break around 1100 Angstrom. We compare the behavior of our sample to those of non-LTE thin-disk models covering a range in black-hole mass, Eddington ratio, disk inclination, and other parameters. The distribution of ultraviolet-optical spectral indices redward of the break, and far-ultraviolet indices shortward of the break, are in rough agreement with the models. However, we do not see a correlation between the far-ultraviolet spectral index and the black hole mass, as seen in some accretion disk models. We argue that the observed spectral break is intrinsic to AGNs, although intrinsic reddening as well as Comptonization can strongly affect the far-ultraviolet spectral index. We make our data available online in digital format.Comment: 32 pages (10pt), 12 figures. Accepted for publication in Ap
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