Short Bjerrum (parentcloudy84)

These porous systems could emerge as promising gas-phase catalysts since the mass transport is facilitated by porosity and the release of catalyst nanoparticles is avoided by the active support, providing a safe and viable model for bioaerosols inactivation to improve indoor air quality with the use of interior lighting. The online version contains supplementary material available at 10.1007/s10562-021-03659-9. The online version contains supplementary material available at 10.1007/s10562-021-03659-9.Artificial Intelligence is revolutionising our communication practices and the ways in which we interact with each other. This revolution does not only impact how we communicate, but it affects the nature of the partners with whom we communicate. Online discussion platforms now allow humans to communicate with artificial agents in the form of socialbots. Such agents have the potential to moderate online discussions and even manipulate and alter public opinions. In this paper, we propose to study this phenomenon using a constructed large-scale agent platform. At the heart of the platform lies an artificial agent that can moderate online discussions using argumentative messages. We investigate the influence of the agent on the evolution of an online debate involving human participants. The agent will dynamically react to their messages by moderating, supporting, or attacking their stances. We conducted two experiments to evaluate the platform while looking at the effects of the conversational agent. The first experiment is a large-scale discussion with 1076 citizens from Afghanistan discussing urban policy-making in the city of Kabul. The goal of the experiment was to increase the citizen involvement in implementing Sustainable Development Goals. The second experiment is a small-scale debate between a group of 16 students about globalisation and taxation in Myanmar. In the first experiment, we found that the agent improved the responsiveness of the participants and increased the number of identified ideas and issues. In the second experiment, we found that the agent polarised the debate by reinforcing the initial stances of the participant.This article reports the treatment outcomes of 167 COVID-19 positive patients who were treated with stand-alone Ayurvedic therapeutic intervention. The main outcomes are quick resolution of symptoms, no deterioration in any of the cases and safe treatment for patients with multiple comorbidities. There was no observed mortality. There were no adverse events due to the Ayurvedic medications. The treatment was undertaken in an out-patient setting and at a low cost. The efficacy and safety of the treatment, and the quick resolution of symptoms are demonstrated. This shows that if COVID-19 patients are treated with Ayurvedic medicines early in the course of COVID-SARS-2 infection, Ayurveda has the potential to prevent progression and deterioration of the disease, with decreased morbidity and mortality. A key public health priority during the emergence of a novel pathogen is probing the factors contributing in clinical severity of the disease COVID-19. Moreover, analysis of the determined clinical outcomes is required and thus, modifiable predictor values need to identified. In Ayurveda, outcome of a disease is a multivariate function and this exploratory work is an attempt to identify one such factor " " (immune status). A questionnaire-based, cross-sectional study was conducted in fifty diagnosed cases of COVID-19. Study participants were subjected to a questionnaire to assess relationship between the three determinants of the disease - exposure, clinical severity and (immune status). Clinical Severity was found strongly correlated with (with the value of Pearson Correlation - 0.740 significant at the 0.01 level (2-tailed). In the determination of clinical severity of disease, there are two epidemiological factors responsible