3,094 research outputs found

    The Legal, Ethical, and Social Implications of the Reasonable Woman Standard in Sexual Harassment Cases

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    In this Article, Professors Adler and Peirce examine the development and implications of the reasonable woman standard that is gaining increasing acceptance as the appropriate gauge for measuring the offensiveness of the conduct at issue in sexual harassment cases. The authors begin by reviewing the origins of sexual harassment law under Title VII of the Civil Rights Act of 1964, paying particular attention to the history of hostile environment causes of action. Professors Adler and Peirce then discuss how and why the reasonable woman standard evolved as an alternative to the conventional reasonable man and reasonable person standards that had been the usual measures of culpable conduct in sexual harassment cases, and how courts have applied the reasonable woman standard in cases involving a wide range of allegedly harassing behaviors. The authors conclude by discussing a variety of important concerns raised by the implementation of the reasonable woman standard, including the fundamental question of whether it is fair to hold men to a standard of conduct that, because they are men, they may be unable to understand or appreciate fully

    Division of signs

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    Transcribed by Ahti-Veikko Pietarinen.Hereby we publish five (previously unpublished) excerpts from Charles S. Peirce’s manuscripts – one from the Prescott Book (MS 277, 1909) and four from the Logic Notebook (MS 339, October 1905–March 1906, 1909). These concern the problems of classification of signs

    EAGALA Inter-Professional Team Development

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    Equine Assisted Growth and Learning Association (EAGALA) is a team approach to problem solving in which a group or team interacts with horses to accomplish various tasks. The horses are not ridden but instead worked in an open setting to allow reflection and understanding between team members. EAGALA has been used in multiple settings, such as, combatting compassion fatigue in community care workers. (Black 8-13) EAGALA uses experiential learning to realize the goals of the participants This offered an opportunity for interprofessional collaboration between the COM, Nursing, and Social Work students with a technique that has been suggested to reduce burnout among community health professionals ..(Notgrass and Pettinelli 162-174)https://dune.une.edu/cecespring2020/1005/thumbnail.jp

    An interprofessional nurse-led mental health promotion intervention for older home care clients with depressive symptoms.

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    BackgroundDepressive symptoms in older home care clients are common but poorly recognized and treated, resulting in adverse health outcomes, premature institutionalization, and costly use of health services. The objectives of this study were to examine the feasibility and acceptability of a new six-month interprofessional (IP) nurse-led mental health promotion intervention, and to explore its effects on reducing depressive symptoms in older home care clients (≥ 70 years) using personal support services.MethodsA prospective one-group pre-test/post-test study design was used. The intervention was a six-month evidence-based depression care management strategy led by a registered nurse that used an IP approach. Of 142 eligible consenting participants, 98 (69%) completed the six-month and 87 (61%) completed the one-year follow-up. Outcomes included depressive symptoms, anxiety, health-related quality of life (HRQoL), and the costs of use of all types of health services at baseline and six-month and one-year follow-up. An interpretive descriptive design was used to explore clients', nurses', and personal support workers' perceptions about the intervention's appropriateness, benefits, and barriers and facilitators to implementation.ResultsOf the 142 participants, 56% had clinically significant depressive symptoms, with 38% having moderate to severe symptoms. The intervention was feasible and acceptable to older home care clients with depressive symptoms. It was effective in reducing depressive symptoms and improving HRQoL at six-month follow-up, with small additional improvements six months after the intervention. The intervention also reduced anxiety at one year follow-up. Significant reductions were observed in the use of hospitalization, ambulance services, and emergency room visits over the study period.ConclusionsOur findings provide initial evidence for the feasibility, acceptability, and sustained effects of the nurse-led mental health promotion intervention in improving client outcomes, reducing use of expensive health services, and improving clinical practice behaviours of home care providers. Future research should evaluate its efficacy using a randomized clinical trial design, in different settings, with an adequate sample of older home care recipients with depressive symptoms.Trial registrationClinicaltrials.gov identifier: NCT01407926

    A thermodynamical fiber bundle model for the fracture of disordered materials

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    We investigate a disordered version of a thermodynamic fiber bundle model proposed by Selinger, Wang, Gelbart, and Ben-Shaul a few years ago. For simple forms of disorder, the model is analytically tractable and displays some new features. At either constant stress or constant strain, there is a non monotonic increase of the fraction of broken fibers as a function of temperature. Moreover, the same values of some macroscopic quantities as stress and strain may correspond to different microscopic cofigurations, which can be essential for determining the thermal activation time of the fracture. We argue that different microscopic states may be characterized by an experimentally accessible analog of the Edwards-Anderson parameter. At zero temperature, we recover the behavior of the irreversible fiber bundle model.Comment: 18 pages, 10 figure

    Comparison of Two Detailed Models of Aedes aegypti Population Dynamics

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    The success of control programs for mosquito-­borne diseases can be enhanced by crucial information provided by models of the mosquito populations. Models, however, can differ in their structure, complexity, and biological assumptions, and these differences impact their predictions. Unfortunately, it is typically difficult to determine why two complex models make different predictions because we lack structured side-­by-­side comparisons of models using comparable parameterization. Here, we present a detailed comparison of two complex, spatially explicit, stochastic models of the population dynamics of Aedes aegypti, the main vector of dengue, yellow fever, chikungunya, and Zika viruses. Both models describe the mosquito?s biological and ecological characteristics, but differ in complexity and specific assumptions. We compare the predictions of these models in two selected climatic settings: a tropical and weakly seasonal climate in Iquitos, Peru, and a temperate and strongly seasonal climate in Buenos Aires, Argentina. Both models were calibrated to operate at identical average densities in unperturbedconditions in both settings, by adjusting parameters regulating densities in each model (number of larval development sites and amount of nutritional resources). We show that the models differ in their sensitivityto environmental conditions (temperature and rainfall) and trace differences to specific model assumptions.Temporal dynamics of the Ae. aegypti populations predicted by the two models differ more markedly under strongly seasonal Buenos Aires conditions. We use both models to simulate killing of larvae and/or adults with insecticides in selected areas. We show that predictions of population recovery by the models differ substantially, an effect likely related to model assumptions regarding larval development and (director delayed) density dependence. Our methodical comparison provides important guidance for model improvement by identifying key areas of Ae. aegypti ecology that substantially affect model predictions, and revealing the impact of model assumptions on population dynamics predictions in unperturbed and perturbed conditions.Fil: Legros, Mathieu. University of North Carolina; Estados UnidosFil: Otero, Marcelo Javier. Universidad de Buenos Aires; ArgentinaFil: Romeo Aznar, Victoria Teresa. Universidad de Buenos Aires; ArgentinaFil: Solari, Hernan Gustavo. Universidad de Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física de Buenos Aires; ArgentinaFil: Gould, Fred. National Institutes of Health; Estados UnidosFil: Lloyd, Alun L.. National Institutes of Health; Estados Unido
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