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Complexities of virus genotypes and the stochastic contacts in human society create a big challenge for estimating the potential risks of exposure to a widely spreading virus such as COVID-19. To increase public awareness of exposure risks in daily activities, we propose a birthday-paradox-based probability model to implement in a web-based system, named COSRE (community social risk estimator) and make in-time community exposure risk estimation during the ongoing COVID-19 pandemic. We define exposure risk to mean the probability of people meeting potential cases in public places such as grocery stores, gyms, libraries, restaurants, coffee shops, offices, etc. Our model has three inputs the real-time number of active and asymptomatic cases, the population in local communities, and the customer counts in the room. With COSRE, possible impacts of the pandemic can be explored through spatiotemporal analysis, e.g., a variable number of people may be projected into public places through time to assess changes of risk as the pandemic unfolds. The system has potential to advance understanding of the true exposure risks in various communities. It introduces an objective element to plan, prepare and respond during a pandemic. Spatial analysis tools are used to draw county-level exposure risks of the United States from April 1 to July 15, 2020. The correlation experiment with the new cases in the next two weeks shows that the risk estimation model offers promise in assisting people to be more precise about their personal safety and control of daily routine and social interaction. It can inform business and municipal COVID-19 policy to accelerate recovery.Despite benefits of physical activity (PA), most Americans are not regularly active, with notable disparities for residents of low-income communities. PA is positively correlated with resource availability and quality, which can be measured and quantified by PA resource assessment tools. However, community members' perceptions are often not considered. This study incorporates community perceptions with systematic environmental observations to identify community PA resource priorities. The PA Space Methodology for Assessment and Prioritization (PASMAP) includes three phases. Phase 1 Promotora-researchers completed 57 PA Resource Assessments (PARAs) in colonias along the Texas-Mexico border assessing quantity and quality of features, amenities, and incivilities. Characteristics were ranked using average PARA scores from all PA spaces. Phase 2 community advisory board (CAB) members (n = 36 from 3 CABs) ranked the importance of each feature, amenity, and incivility respectively; rankings were averaged and ordered. Phase 3 differences between phases 1 and 2 were calculated. Large differences indicated high discordance between systematic observations and perceived importance. read more Phase 1 highest ranked PARA characteristics were sidewalks, non-street lighting, and noise. Phase 2 CAB members ranked trails/paths, sidewalks, play equipment, bathrooms, drinking fountains, substance abuse evidence, and litter most important. Phase 3 multiple characteristics had high discordance trails/paths, fenced-in open fields (features), drinking fountains (amenity), and litter (incivility); low quantity/poor quality yet perceived as highly important. Discordant characteristics identified through PASMAP provide evidence-based, community-valued recommendations on PA resource priorities for planning and advocacy. Future work should incorporate perceptions from additional community members and apply PASMAP methods to other environmental assessments.In this study we used a participatory research method, photovoice, to explore community perceptions about environmental health risks, community assets, and strengths in and around an urban, degraded watershed in Northwest Atlanta, Georgia. This watershed, formed by Proctor Creek, is a focal point for redevelopment and infrastructure investments for years to come. Using a community-based participatory research approach, 10 Proctor Creek residents (watershed researchers), and a university partner, engaged in data collection; participatory data analysis; internal discussions; translation of research findings into watershed restoration, community revitalization, remedial action, and policy solutions; and dissemination of results to fellow watershed residents, stakeholders, and decision makers. We present a conceptual model linking the watershed researchers' understanding of urban policies and practice in the Proctor Creek Watershed to environmental, neighborhood and housing conditions and their influence on health outcomes and quality of life. Engaging community members in defining their own community environmental health challenges and assets yielded the following primary themes 1) threats to the natural environment, 2) built environment stressors that influence health, 3) blight and divestment of public resources, and 4) hope for the future. Residents' vision for the future of the watershed - a restored creek, revitalized neighborhoods, and restored people - is fueled by a strong connection to history, memory, and sense of place. We demonstrate the value of local knowledge in identifying previously unaddressed environmental health risks in the Proctor Creek Watershed as well as solutions to reduce or eliminate them.Electrokinetic (EK) by coupling surfactants is an enhanced promising remediation technology to eliminate hydrophobic organic contaminants (HOCs) from low-permeable soils. It is also applied to remediate kerosene-contaminated soils using anionic (SDS) and non-ionic (Tween 80) surfactants at different concentrations. There was negligible removal efficiency (40%) of kerosene during traditional EK without any enhancement technique. In the present study, the application of 0.005M and 0.01M SDS in EK-SDS-1 and EK-SDS-2 improved the removal efficiency to 50 and 55%, respectively towards the anode. Furthermore, the use of Tween 80 in EK-Tw80-1 and EK-Tw80-2 at 0.1 and 1% concentrations was able to raise kerosene removal gradually from 45% to 52% towards the cathode. These findings suggest that higher concentrations of SDS and Tween 80 contribute to the more effective elimination of kerosene. Thus, in EK-SDS-Tw80-V1.5 and EK-SDS-Tw80-V2, SDS and Tween 80 were used simultaneously at higher concentrations, which led to 63 and 67% kerosene removal, respectively.

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