Suhrwomble3858

COVID-19 is associated with marked morbidity and mortality. COVID-19 symptoms ranged from mild symptoms to severe pneumonia requiring admission to intensive care unit. Imperial College reported that, this second wave in Khartoum is expected to be similar to the first wave. The aim of our study was to study the characteristics and severity of COVID-19 among Sudanese patients during the waves of the pandemic. A hospital-based analytical Cross-Sectional study assessed the characteristics of COVID-19 patients who attended Imperial Hospital since November 2020, Khartoum, Sudan. Data were collected, retrospectively, from the medical records of COVID-19 patients. The characteristics of the patients were recorded. The statistical package for social sciences (SPSS-23) was used to describe and analyze the data. Descriptive statistics and chi-square test were used; tests were considered statistically significant when p less then 0.05. Of the 138 participants, 75.4% were aged above 60 years. Males were 61.6%. Severe cases were 37.7%, with higher rate in the third wave (p = 0.000). Duration of hospitalization was ≤ 5 days in 60.9% of the cases, majority were from the 2nd wave (p = 0.001). Comorbidities of COVID-19 patients were more among non-severe cases (p = 0.001). COVID-19 symptoms were more prevalent in non-severe cases. Complications were more in severe cases (p = 0.000). Odds ratio of having ischemic stroke was 6.833 [95%CI 2.092-22.321] based on COVID-19 severity. The elderly population were the majority. More males were getting admitted. Atypical symptoms were reported beside the common symptoms. Wider multi-center studies are recommended in order to complete the big picture of COVID-19 in Sudan.

The COVID-19 pandemic modified the Residency Match process for fourth-year medical students. In-person away rotations were discouraged, interviews were virtual, and traditional factors used to rank programs were absent. Here, we compare survey results administered to both the 2020 and 2021 Match applicants to assess the influence of the pandemic on the RO Match process.

An Institutional Review Board approved prospective cross-sectional study was conducted. The 2020 and 2021 RO Match applicants at a large RO program were invited to participate. Descriptive summary statistics were assessed.

The 2020 and 2021 Matches each had seventy-six applicants complete the survey with response rates of 54% and 57%, respectively. The two groups were predominantly white, cisgender male, single, and without children. While 11% of 2020 applicants did not complete away rotations, 45% of 2021 applicants did not. For 2021 Match applicants, 65% of away rotations were performed virtually while 51% were not for medical school cr away rotations, were satisfied with virtual interviews/reduced costs, and did not gain a sense of program culture through virtual rotations/interviews despite it being the most important ranking factor reported. This study supports further exploration of virtual away rotations and virtual interviews moving forward beyond the pandemic.

Today's clinical trial partnerships frequently join multi-disciplinary investigators and stakeholders, from different countries and cultures, to conduct research with a broad array of goals. This diversity, while a strength, can also foster divergent views about priorities and what constitutes success, thereby posing challenges for management, operations, and evaluation. As a sponsor and partner in such collaborations, we seek to assist and support their development and implementation of sound research strategies, to optimize their efficiency, sustainability, and public health impact. This report describes our efforts using an adaptation of the well-established Kaplan-Norton strategy management paradigm, in our clinical trials setting. We share findings from our first test of the utility and acceptance of this approach for evaluating and managing research strategies in a collaborative clinical research partnership.

Findings from pilot studies and our first implementation in an ongoing clinical research paabundance of good will is sufficient. Careful monitoring and adjustment of clinical research strategy in response to changes (e.g., demographics, pathogen evolution, research acceptance, political and cultural environments) are vital to making the needed adjustments that can guide these programs toward successful outcomes. We hope that our work can raise awareness about the importance, relevance, and feasibility of sound strategy management in clinical research partnerships, especially during this time when there is so much at stake.While user-generated online content (UGC) is increasingly available, public opinion studies are yet to fully exploit the abundance and richness of online data. This study contributes to the practical knowledge of user-generated online content and machine learning techniques that can be used for the analysis of UGC. For this purpose, we explore the potential of user-generated content and present an application of natural language pre-processing, text mining and sentiment analysis to the question of public satisfaction with healthcare systems. Concretely, we analyze 634 online comments reflecting attitudes towards healthcare services in different countries. Our analysis identifies the frequency of topics related to healthcare services in textual content of the comments and attempts to classify and rank national healthcare systems based on the respondents' sentiment scores. In this paper, we describe our approach, summarize our main findings, and compare them with the results from cross-national surveys. Finally, we outline the typical limitations inherent in the analysis of user-generated online content and suggest avenues for future research.With the increasing trend of the urban population in Bangladesh, waste generation is also increasing. With 70% organic solid waste, the urban areas generate 23,688 tonnes of waste per day. This rapid enhancement in waste production has an adverse effect onlandfill resources and the day-to-day lifestyle. In this regard adopting waste to energy techniques can be considered good idea to overcome the current waste management problem. CS-045 This WtE conversion technique solves the landfill resources problem and produces electricity and heat to be supplied. This study aims to investigate the current status of MSW management in Bangladesh and identify the major problems. Here, five fundamental methods such as pyrolysis, incineration, anaerobic digestion (AD), gasification, hydrothermal carbonization (HTC) are reviewed critically and discussed the feasibilities in Bangladesh to generate power. The analysis is done considering different types of parameters like moisture content, calorific value, and residence time. These analyses pertaining to MSW management may be fruitful for encouraging researchers and authorities to improve further.Teacher self-efficacy is a crucial personal characteristic that is important not only for teachers' well-being but also for the overall teaching and learning. However, the difficulty to ascertain scalar invariance in the measurement of the construct has beset previous attempts of cross-cultural comparisons. This study implements an alignment optimisation method to compare and rank mean teacher self-efficacy of over 150,000 teachers across 48 countries and economies that participated in the Teaching and Learning International Survey (TALIS) that was conducted 2018. The findings show that Columbia, Portugal, United Arab Emirates, Hungary, and South Africa have teachers with the highest mean self-efficacy. On the flip side, Czech Republic, Estonia, Chinese Taipei, Norway, and Japan have teachers with the least mean self-efficacy. Additionally, the findings provide a framework for direct comparisons between countries based on the mean teacher self-efficacy. The researcher believes that policymakers, research and development centres, and other education stakeholders will take a cue from the findings of the present study to identify and investigate countries with high self-efficacy teachers for improved teacher self-efficacy in own country.The interaction between transport and chemistry is pivotal for local ozone (O3) concentration, especially for a coastal region where the upstream sources might change diurnally. In the current emission control policy, most pollutants, such as particulate matter, SO2, NOx, and CO, decrease while the annual O3 trend might increase due to the complex feedbacks of precursors. In this study, we investigate the influence of transport upon the wintertime O3 diurnal trend over ZuoYing Kaohsiung, an urban coastal site in southern Taiwan, by constructing a two-dimensional numerical model coupling both physical mechanisms and core chemical processes and provide a feasible emission control strategy. The transport process (i.e., import vs. export) for the daytime is determined using the Leighton Ratio (Φ), the ratio of O3-production over O3-loss rate, under the pseudo-steady-state condition. Φ shows a deviation of -9 to +13% from the photo-stationary state, and experiences a transition from import effect before 1015 to weakening import or net export effect afterward associated with a net O3 production as sea breeze starts developing. The significantly higher Φ derived from observation than from simulation by a factor of 1.35 might be resulted from the over-reported NO2 due to NOy contribution on the NO2 measurement, and the influence of aerosol and cloud possibly reducing ∼30% on applied NO2 photolysis rate constant, associated with aerosol optical depth of 0.75 ± 0.15 and single scattering albedo of 0.85 ± 0.15. In this studied NOx-saturated regime, the addition of sea breeze convergence over the land enhances the maximal O3 by ∼10%, mainly due to the O3 accumulation (∼88%). Furthermore, the ozone isopleth analysis as a function of non-methane hydrocarbons and NOx emissions provides an achievable strategy to decrease both maximum daily ozone and the increment of ozone from morning to maximum by reducing hydrocarbons and NOx emissions, which can also eliminate the additional nitrate contribution on the aerosols.A new Schiff base, (E)-benzyl-2-(4-hydroxy-2-methoxybenzylidene)hydrazinecarbodithioate (compound 1) has been synthesized and experimentally characterized by the IR, UV-Vis, 1H-NMR and mass spectroscopies. The theoretical study of the synthesized compound was evaluated using the density functional theory (DFT) at B3LYP/6-31G+(d,p) basis set. The electronic absorption spectrum of compound 1 was evaluated using time-dependent density functional theory. Besides, in silico studies were done for the prediction of absorption, distribution, metabolism and excretion profiles of compound 1. According to the result, the theoretical data were well fitted with the experimental values. The studied compound has low chemical reactivity and high kinetic stability. In the molecular electrostatic potential map, the negative and positive potential sites were found around electronegative atoms and hydrogen atoms of compound 1, respectively. The 97.75% Lewis and 2.25% non-Lewis structure were present in the studied molecule. The molecular docking results reveal that compound 1 can be used as antituberculosis agent as compare to ethambutol.