Andersonbranch6915

The COVID-19 pandemic has severely impacted public health worldwide. Evidence of SARS-CoV-2 transmission via aerosols and surfaces has highlighted the need for efficient indoor disinfection methods. For instance, the use of ozone gas as a safe and potent disinfectant against SARS-CoV-2 virus is of particular interest. Here we tested the use of pseudoviruses as a model for evaluating ozone disinfection of the coronavirus at ozone concentrations of 30, 100, and 1000 ppmv. Results show that ozone disinfection rate of pseudoviruses was similar to that of coronavirus 229E (HuCoV-229E) at short contact times, below 30 min. Viral infection decreased by 95% following ozone exposure for 20 min at 1000 ppmv, 30 min at 100 ppmv and about 40 min at 30 ppmv. This findings mean that ozone is a powerful disinfectant toward the enveloped pseudovirus even at low ozone exposure. We also showed that viral disinfection occurs on various contaminated surfaces, with a positive association between disinfection and surface hydrophilicity. Infected surfaces made of aluminum alloy, for example, were better disinfected with ozone as compared to brass, copper, and nickel surfaces. Lastly, we demonstrate the advantage of ozone over liquid disinfectants by showing similar viral disinfection on top, side, bottom, and interior surfaces. Overall, our study demonstrates the potential use of ozone gas disinfection to combat the COVID-19 outbreak.Dwindling fossil fuels and improper waste management are major challenges in the context of increasing population and industrialization, calling for new waste-to-energy sources. For instance, refuse-derived fuels can be produced from transformation of municipal solid waste, which is forecasted to reach 2.6 billion metric tonnes in 2030. Gasification is a thermal-induced chemical reaction that produces gaseous fuel such as hydrogen and syngas. Here, we review refuse-derived fuel gasification with focus on practices in various countries, recent progress in gasification, gasification modelling and economic analysis. We found that some countries that replace coal by refuse-derived fuel reduce CO2 emission by 40%, and decrease the amount municipal solid waste being sent to landfill by more than 50%. The production cost of energy via refuse-derived fuel gasification is estimated at 0.05 USD/kWh. Co-gasification by using two feedstocks appears more beneficial over conventional gasification in terms of minimum tar formation and improved process efficiency.The gray divorce rate, which describes divorce among individuals aged 50 and older, has doubled since 1990. Extending prior research that showed the transition to parenthood has a "braking effect" on divorce, we examined whether the transition to grandparenthood, an emotionally meaningful midlife event that typically renews midlife marriages, exerts an analogous "braking effect" on gray divorce. Using panel data from the 1998-2014 Health and Retirement Study, we found that becoming biological grandparents has a large deterrent effect on gray divorce that persists even after accounting for a host of other factors known to be associated with divorce. However, the transition to step grandparenthood has no protective effect on gray divorce. Our study demonstrates the importance of the larger family system and in particular the life webs connecting the generations for promoting marital stability among midlife couples.Ambivalence, the vacillation between conflicting feelings and thoughts, is a key characteristic of scientific knowledge production and emergent biomedical technology. read more Drawing from sociological theory on ambivalence, we have examined three areas of debate surrounding the early implementation of HIV pre-exposure prophylaxis, or PrEP, for gay, bisexual, queer, and other men who have sex with men in Canada, including epistemology and praxis, clinical and epidemiological implications, and sexual politics. These debates are not focused on the science or efficacy of PrEP to prevent HIV, but rather represent contradictory feelings and opinions about the biopolitics of PrEP and health inequities. Emphasizing how scientists and health practitioners may feel conflicted about the biopolitics of novel biomedical technologies opens up opportunities to consider how a scientific field is or is not adequately advancing issues of equity. Scientists ignoring their ambivalence over the state of their research field may be deemed necessary to achieve a specific implementation goal, but this emotion management work can lead to alienation. We argue that recognizing the emotional dimensions of doing HIV research is not a distraction from "real" science, but can instead be a reflexive site to develop pertinent lines of inquiry better suited at addressing health inequities.In April 2008, the National Institutes of Health (NIH) implemented the Public Access Policy (PAP), which mandated that the full text of NIH-supported articles be made freely available on PubMed Central - the NIH's repository of biomedical research. This paper uses 600,000 NIH articles and a matched comparison sample to examine how the PAP impacted researcher access to the biomedical literature and publishing patterns in biomedicine. Though some estimates allow for large citation increases after the PAP, the most credible estimates suggest that the PAP had a relatively modest effect on citations, which is consistent with most researchers having widespread access to the biomedical literature prior to the PAP, leaving little room to increase access. I also find that NIH articles are more likely to be published in traditional subscription-based journals (as opposed to 'open access' journals) after the PAP. This indicates that any discrimination the PAP induced, by subscription-based journals against NIH articles, was offset by other factors - possibly the decisions of editors and submission behaviour of authors.Classification with high-dimensional data is of widespread interest and often involves dealing with imbalanced data. Bayesian classification approaches are hampered by the fact that current Markov chain Monte Carlo algorithms for posterior computation become inefficient as the number [Formula see text] of predictors or the number [Formula see text] of subjects to classify gets large, because of the increasing computational time per step and worsening mixing rates. One strategy is to employ a gradient-based sampler to improve mixing while using data subsamples to reduce the per-step computational complexity. However, the usual subsampling breaks down when applied to imbalanced data. Instead, we generalize piecewise-deterministic Markov chain Monte Carlo algorithms to include importance-weighted and mini-batch subsampling. These maintain the correct stationary distribution with arbitrarily small subsamples and substantially outperform current competitors. We provide theoretical support for the proposed approach and demonstrate its performance gains in simulated data examples and an application to cancer data.