220 research outputs found

    PRODUCTION OF URANIUM TETRAFLUORIDE AND URANIUM METAL.

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    Health effects of acid aerosols formed by atmospheric mixtures.

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    Under ambient conditions, sulfur and nitrogen oxides can react with photochemical products and airborne particles to form acidic vapors and aerosols. Inhalation toxicological studies were conducted, exposing laboratory animals, at rest and during exercise, to multicomponent atmospheric mixtures under conditions favorable to the formation of acidic reaction products. Effects of acid and ozone mixtures on early and late clearance of insoluble radioactive particles in the lungs of rats appeared to be dominated by the oxidant component (i.e., the mixture did cause effects that were significantly different from those of ozone alone). Histopathological evaluations showed that sulfuric acid particles alone did not cause inflammatory responses in centriacinar units of rat lung parenchyma (expressed in terms of percent lesion area) but did cause significant damage (cell killing followed by a wave of cell replication) in nasal respiratory epithelium, as measured by uptake of tritiated thymidine in the DNA of replicating cells. Mixtures of ozone and nitrogen dioxide, which form nitric acid, caused significant inflammatory responses in lung parenchyma (in excess of effects seen in rats exposed to ozone alone), but did not damage nasal epithelium. Mixtures containing acidic sulfate particles, ozone, and nitrogen dioxide damaged both lung parenchyma and nasal epithelia. In rats exposed at rest, the response of the lung appeared to be dominated by the oxidant gas-phase components, while responses in the nose were dominated by the acidic particles. In rats exposed at exercise, however, mixtures of ozone and sulfuric acid particles significantly (2.5-fold) elevated the degree of lung lesion formation over that seen in rats exposed to ozone alone under an identical exercise protocol

    Where to Forage When Afraid: Does Perceived Risk Impair Use of the Foodscape?

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    The availability and quality of forage on the landscape constitute the foodscape within which animals make behavioral decisions to acquire food. Novel changes to the foodscape, such as human disturbance, can alter behavioral decisions that favor avoidance of perceived risk over food acquisition. Although behavioral changes and population declines often coincide with the introduction of human disturbance, the link(s) between behavior and population trajectory are difficult to elucidate. To identify a pathway by which human disturbance may affect ungulate populations, we tested the Behaviorally Mediated Forage‐Loss Hypothesis, wherein behavioral avoidance is predicted to reduce use of available forage adjacent to disturbance. We used GPS collar data collected from migratory mule deer (Odocoileus hemionus) to evaluate habitat selection, movement patterns, and time‐budgeting behavior in response to varying levels of forage availability and human disturbance in three different populations exposed to a gradient of energy development. Subsequently, we linked animal behavior with measured use of forage relative to human disturbance, forage availability, and quality. Mule deer avoided human disturbance at both home range and winter range scales, but showed negligible differences in vigilance rates at the site level. Use of the primary winter forage, sagebrush (Artemisia tridentata), increased as production of new annual growth increased but use decreased with proximity to disturbance. Consequently, avoidance of human disturbance prompted loss of otherwise available forage, resulting in indirect habitat loss that was 4.6‐times greater than direct habitat loss from roads, well pads, and other infrastructure. The multiplicative effects of indirect habitat loss, as mediated by behavior, impaired use of the foodscape by reducing the amount of available forage for mule deer, a consequence of which may be winter ranges that support fewer animals than they did before development

    An analysis of the deinstitutionalization of inflation-adjusted accounting practices in Brazilian companies

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    This article aims to analyze the deinstitutionalization of the inflation-adjustment accounting practices used by large Brazilian companies. The theoretical assumptions used were based on institutional theory, which provides a sociological interpretation of human behavior that recognizes the phenomenon of limited rationality and the political character of social action. Analyses were based on the empirical approach that was proposed by Oliver (1992). The research strategy consisted of questionnaires and interviews conducted in a population of 118 large Brazilian companies from Exame Magazine's list of the 500 largest companies. The primary respondents were accountants and controllers. Factor analysis, one-way ANOVA and the Kruskal-Wallis test were conducted using the approach proposed by Oliver (1992), and the research included 22 variables comprising 12 constructs and 6 qualitative hypotheses regarding the pressures that motivate the deinstitutionalization of inflation-adjusted accounting practices. Therefore, with regard to the constructs assessed, emphasis was placed on identifying the political pressures (the environment) and the functional pressures in both the organizational and environmental dimensions. However, the social pressures did not prove to be significant. We conclude that the process of deinstitutionalization results from a distinct combination of institutional factors, and these results are consistent with the findings from research conducted in the US market and in the UK

    Optimal diet selection by white-tailed deer: Balancing reproduction with starvation risk

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    Energy intake rates of wintering deer vary over time because of variation in the abundance and quality of their natural foods. Accordingly, there is a chance that energy requirements will not be satisfied in a feeding period. This is especially critical because deer are reproductive during winter; hence selecting diets to minimize the risk of starvation may not maximize fitnss. I examined diet selection by white-tailed deer ( Odocoileus virginianus ) using a risk-sensitive foraging model which predicts the optimal diet when foragers face starvation risks during a reproductive period. Optimal diets were estimated by quantifying the mean and variance in energy intake rate deer could obtain when selecting different potential diets and substituting these values into functions for estimating offspring production and starvation risk. I conducted a field experiment to ask whether deer selected deciduous and coniferous twigs according to model predictions. Starvation risk was manipulated by providing deer supplemental feed. When faced with starvation risks, deer appeared to select diets that balanced offspring production with starvation risk. When starvation risk was climinated, deer tended to select diets that simply maximized their mean energy intake rates.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/42743/1/10682_2005_Article_BF02270707.pd
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