2,161 research outputs found

    Still the Wild West? A 10-Year Look at Campaign Finance Reform in Illinois

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    Kent Redfield used to tell a great story while on the speaking circuit in 1996. To describe a weakness in Illinois’ campaign finance laws, he explained that if a terrorist organization filed a routine semiannual report with the Illinois State Board of Elections and declared its purpose to be the assassination of public officials, the elections board’s only role would be to make certain that the group had filed the paperwork properly. That’s because the board had no authority to begin an investigation or to question what was in a candidate’s reports. Illinois laws regarding campaign finance disclosure had no teeth, and they had changed very little in the two decades since being enacted in 1974

    The Effects of Physical Activity Education on Exercise Self-Efficacy and Physical Activity: A Comparison Study Between Exercise Science and Physical Education Teacher Education

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    The purpose of this study was to understand the adjustment families undergo when a child is diagnosed with deafness as well as their adjustment to the child hearing after a cochlear implant is in place. The participants of the study were four hearing adults between the ages of 18-28 who have a younger sibling with a cochlear implant. The qualitative study used reports from four participants to reflect on how hearing loss and subsequent cochlear implantation impacted the family’s lives. Contrary to expecting findings, the themes did not change and all four reported nurturing and personal growth as key themes

    Mega-Reward: Achieving Human-Level Play without Extrinsic Rewards

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    Intrinsic rewards were introduced to simulate how human intelligence works; they are usually evaluated by intrinsically-motivated play, i.e., playing games without extrinsic rewards but evaluated with extrinsic rewards. However, none of the existing intrinsic reward approaches can achieve human-level performance under this very challenging setting of intrinsically-motivated play. In this work, we propose a novel megalomania-driven intrinsic reward (called mega-reward), which, to our knowledge, is the first approach that achieves human-level performance in intrinsically-motivated play. Intuitively, mega-reward comes from the observation that infants' intelligence develops when they try to gain more control on entities in an environment; therefore, mega-reward aims to maximize the control capabilities of agents on given entities in a given environment. To formalize mega-reward, a relational transition model is proposed to bridge the gaps between direct and latent control. Experimental studies show that mega-reward (i) can greatly outperform all state-of-the-art intrinsic reward approaches, (ii) generally achieves the same level of performance as Ex-PPO and professional human-level scores, and (iii) has also a superior performance when it is incorporated with extrinsic rewards

    Future Atmospheric Neutrino Detectors

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    Future experiments focusing on atmospheric neutrino detection are reviewed. One of the main goals of these experiments is the detection of an unambiguous oscillation pattern (nu_mu reappearance) to prove the oscillation hypothesis. Further goals include the discrimination of nu_mu - nu_tau and nu_mu - nu_sterile oscillations, and the detection of a potential small nu_mu - nu_e contribution. The search for matter effects in three or more flavour oscillations can be used to constrain hybrid oscillation models and potentially measure the sign of delta m^2. The detectors and measurement techniques proposed to achieve these goals are described, and their physics reach is discussed.Comment: 9 pages, invited talk at the XIX International Conference on Neutrino Physics and Astrophysics, Sudbury, Canada, June 16-21, 2000, to appear in Nucl. Phys. B (Proc. Suppl.

    Shorter Leukocyte Telomere Length in Relation to Presumed Nonalcoholic Fatty Liver Disease in Mexican-American Men in NHANES 1999-2002.

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    Leukocyte telomere length is shorter in response to chronic disease processes associated with inflammation such as diabetes mellitus and coronary artery disease. Data from the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2002 was used to explore the relationship between leukocyte telomere length and presumed NAFLD, as indicated by elevated serum alanine aminotransferase (ALT) levels, obesity, or abdominal obesity. Logistic regression models were used to evaluate the relationship between telomere length and presumed markers of NAFLD adjusting for possible confounders. There was no relationship between elevated ALT levels, abdominal obesity, or obesity and telomere length in adjusted models in NHANES (OR 1.13, 95% CI 0.48-2.65; OR 1.17, 95% CI 0.52-2.62, resp.). Mexican-American men had shorter telomere length in relation to presumed NAFLD (OR 0.07, 95% CI 0.006-0.79) and using different indicators of NAFLD (OR 0.012, 95% CI 0.0006-0.24). Mexican origin with presumed NAFLD had shorter telomere length than men in other population groups. Longitudinal studies are necessary to evaluate the role of telomere length as a potential predictor to assess pathogenesis of NALFD in Mexicans

    Charge ratio of muons from atmospheric neutrinos

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    We calculate the intensities and angular distributions of positive and negative muons produced by atmospheric neutrinos. We comment on some sources of uncertainty in the charge ratio. We also draw attention to a potentially interesting signature of neutrino oscillations in the muon charge ratio, and we discuss the prospects for its observation (which are not quite within the reach of currently planned magnetized detectors).Comment: 6 pages, 4 figures, to be submitted to Physics Letter

    The double burden household in sub-Saharan Africa: maternal overweight and obesity and childhood undernutrition from the year 2000: results from World Health Organization Data (WHO) and Demographic Health Surveys (DHS)

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    BACKGROUND: Previous studies have characterized an increasing trend of double burden households, or households with individuals experiencing both undernutrition and obesity, in countries undergoing a nutrition transition. Although most prior studies indicate the prevalence of double burden households is highest in middle-income countries, there is some support for an increase in double burden households in sub-Saharan African countries as well. METHOD: Using data from the Demographic Health Surveys (DHS) and the World Health Organization (WHO), the prevalence of double burden households in sub-Saharan African countries was calculated and the associations between prevalence of overweight/obese adults and underweight, stunted and wasted children were evaluated at the country and household (DHS only) levels. Restricted analyses and frequencies were calculated using urban-only datasets. Surveys from 28 African countries were available using WHO data and 26 from the DHS surveys. Only surveys that were conducted after 2000 were included in analyses. RESULTS: Using the WHO datasets, there were inverse associations between the prevalence of overweight and obesity in adults and underweight, stunting and wasting in children. Correspondingly, there were positive associations between adult underweight and child underweight, stunting and wasting. These associations were not significant in a smaller sample size using urban-only surveys. The prevalence of double burden households in DHS datasets was low: under 5 percent for obese mothers and underweight, stunted or wasted child pairs with a slightly higher percentage for overweight mothers and children with undernutrition. Restricting the analysis to urban only populations did not increase the frequencies of double burden households significantly. CONCLUSION: There was a low prevalence of double burden households in recent data from sub-Saharan Africa. Countries that have a high prevalence of child undernutrition correspondingly have a high prevalence of adult underweight and low prevalence of adult overweight and obesity

    Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence

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    Learning agents that are not only capable of taking tests, but also innovating is becoming a hot topic in AI. One of the most promising paths towards this vision is multi-agent learning, where agents act as the environment for each other, and improving each agent means proposing new problems for others. However, existing evaluation platforms are either not compatible with multi-agent settings, or limited to a specific game. That is, there is not yet a general evaluation platform for research on multi-agent intelligence. To this end, we introduce Arena, a general evaluation platform for multi-agent intelligence with 35 games of diverse logics and representations. Furthermore, multi-agent intelligence is still at the stage where many problems remain unexplored. Therefore, we provide a building toolkit for researchers to easily invent and build novel multi-agent problems from the provided game set based on a GUI-configurable social tree and five basic multi-agent reward schemes. Finally, we provide Python implementations of five state-of-the-art deep multi-agent reinforcement learning baselines. Along with the baseline implementations, we release a set of 100 best agents/teams that we can train with different training schemes for each game, as the base for evaluating agents with population performance. As such, the research community can perform comparisons under a stable and uniform standard. All the implementations and accompanied tutorials have been open-sourced for the community at https://sites.google.com/view/arena-unity/
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