Winter-autumn air pollution control plan in North China modified the PM2.5 compositions and sources in Central China

The additional impact of emission-reduction measures in North China (NC) during autumn and winter on the air quality of downwind regions is an interesting but less addressed topic. The mass concentrations of routine air pollutants, the chemical compositions, and sources of fine particles (PM2.5) for January 2018, 2019, and 2020 at a megacity of Central China were identified, and meteorology-isolated by a machine-learning technique. Their variations were classified according to air mass direction. An unexpectedly sharp increase in emission-related PM2.5 by 22.7% (18.0 mug m-3) and 25.7% (19.4 mug m-3) for air masses from local and NC in 2019 was observed compared to those of 2018. Organic materials exhibited the highest increase in PM2.5 compositions by 6.90 mug m-3 and 6.23 mug m-3 for the air masses from local and NC. PM2.5 source contributions related to emission showed an upsurge from 1.39 mug m-3 (biomass burning) to 24.9 mug m-3 (secondary inorganic aerosol) in 2019 except for industrial processes, while all reduced in 2020. From 2018 to 2020, the emission-related contribution of coal combustion to PM2.5 increased from 10.0% to 19.0% for air masses from the local area. To support the priority natural gas quotas in northern China, additional coal in cities of southern China was consumed, raising related emissions from transportation activities and road dust in urban regions, as well as additional biofuel consumption in suburban or rural regions. All these activities could explain the increased primary PM2.5 and related precursor NO2. This study gave substantial evidence of air pollution control measures impacting the downwind regions and promote the necessity of air pollution joint control across the administration.Copyright © 2023 Elsevier Ltd

Does COVID-19 Affect the Accessibility of Outdoor Sports Venues? A Case Study in Nanchang, China

The COVID-19 pandemic has been a great challenge to society, the economy, and population health. It has become a significant public health event and social problem. Exploring the impact of COVID-19 on the accessibility of outdoor sports venues is crucial for people's health. Based on spatial theory, the quantitative and qualitative analyses of outdoor sports venues' spatial distribution and accessibility were conducted, and the epidemic's impact on them was analyzed. The results show that: (1) The existing outdoor sports venues in Nanchang show a distribution pattern of "sparse in the north and south, and strong aggregation in the middle”. (2) As a result of the epidemic, the center of the standard deviation ellipse in outdoor sports sites shifted to the southeast, while the number of open venues decreased by 68%. (3) Before COVID-19, the entire study area could achieve full coverage by driving for 17 min, riding for 70 min, or walking for 119 min. After COVID-19, the time increased to 29, 109, and 193 min, respectively. (4) Under the high-risk scenario of COVID-19, the average walking time for people to reach outdoor sports venues increased from 6.2 min to 14.0 min in the study area, with an increase of 126%. Finally, according to the findings of this study, recommendations were made on how government departments could build or re-open outdoor sports venues during and after this epidemic. © 2023 by the authors.

Understanding patient experiences before and during the COVID-19 pandemic: A quasi-experimental comparison of in-person and virtual cancer care

The COVID-19 pandemic prompted the immediate widespread implementation of virtual care appointments in Cancer Care Alberta (CCA). This study aimed to compare patient experiences and satisfaction with in-person care provided prior to the pandemic and virtual care provided after the COVID-19 outbreak. Surveys were conducted to compare patient satisfaction, using the Your Voice Matters (YVM) experience survey, between patients in the pre-pandemic in-person (baseline) and post-outbreak (virtual) cohorts. Generalized Linear Models (GLMs) with an ordinal logistic link were used, adjusting for self-reported health status and other covariates, to investigate the association between cohort type and patient satisfaction. Despite having higher overall health status, the virtual cohort reported statistically significantly lower satisfaction than the baseline with emotional concerns, referrals and resources, and friend/family involvement in their care. Patients in the virtual cohort were much less likely to have completed a routinely used symptom-based Patient Reported Outcomes (PROs) questionnaire, which may help explain satisfaction differences. The additional stressors brought about by the pandemic, as well as the mode of virtual care delivery, both likely contributed to the lower satisfaction of the virtual cohort as well. Understanding the key differences in experience between the two cohorts will inform the development of a larger virtual care strategy within CCA in the future. © The Author(s), 2022.

Hydrophobic RuO2/Graphene/N-doped porous carbon hybrid catalyst for Li-air batteries operating in ambient air

Li–air batteries have received significant attention for their ultrahigh theoretical energy density. However, the byproducts induced by attacking air hinder the conversion of Li–O2 batteries to Li–air batteries. Humidity is one of the main obstacles, not only causing side reactions with the discharge products but also leading to rapid corrosion of the lithium anode. Here, we fabricated a novel composite hydrophobic catalyst by loading RuO2 and graphene on N-doped porous carbon. The catalyst was endowed with hydrophobicity and showed superior catalytic performance and low affinity to water in the air. A Li–air battery equipped with this novel composite catalyst exhibited eminent cycling performance in pure oxygen (over 470 h), humid oxygen [∼40% relative humidity (RH), over 310 h], and ambient air (∼42% RH, over 330 h) at a current density of 500 mA g−1, and the discharge specific capacity increased from 13122.1 to 19358.6 mAh g−1. © 2022

Efficacy and Toxicity of Alternative Radiation Treatment Schemes for Patients With Hematologic Malignancies: A Collaborative ILROG COVID Era Report

Purpose/Objective(s): The COVID19 pandemic required radiation oncologists (ROs) to consider shorter treatment courses to minimize patient and staff exposure and conserve healthcare resources. Hematologic ROs adopted hypofractionated radiation therapy (hRT) regimens according to guidelines published by the International Lymphoma Radiation Oncology Group (ILROG). We report for the first time the preliminary efficacy and toxicity of these novel hypofractionated regimens in the treatment of hematologic malignancies. Materials/Methods: We conducted a multicenter, multinational retrospective study under the direction of the ILROG. All patients receiving hRT according to ILROG guidelines from 1/1/2020 to 8/31/2020 were included. Patient and treatment details were abstracted from separate institutional databases. Toxicity was graded using CTCAE v5.0. Results: Ninety-three patients from 4 institutions treated with 114 RT courses were included. Patient and treatment details are displayed in Table 1. Median follow up for the cohort was 179 days, and 77 patients (82%) were alive at last follow up. Maximal toxicity experienced by patients included Grade 1 (n = 16), Grade 2 (n = 1) and Grade 3 (n = 1) toxicities. Of 80 sites with response assessment within the RT field, 69% of patients achieved a complete response (n = 55), 20% partial response (n = 16), 9% stable disease (n = 7), and 2% progressive disease (n = 2). No COVID19 infections during or after RT have been documented in this patient cohort. Conclusion: HRT according to ILROG guidelines resulted in low rates of acute toxicity and reasonable short-term treatment efficacy. Longer follow up and comparison with control groups is needed to draw more definitive conclusions and will be presented at the Annual Meeting.

TMEM41B and VMP1 are scramblases and regulate the distribution of cholesterol and phosphatidylserine

TMEM41B and VMP1 are integral membrane proteins of the endoplasmic reticulum (ER) and regulate the formation of autophagosomes, lipid droplets (LDs), and lipoproteins. Recently, TMEM41B was identified as a crucial host factor for infection by all coronaviruses and flaviviruses. The molecular function of TMEM41B and VMP1, which belong to a large evolutionarily conserved family, remains elusive. Here, we show that TMEM41B and VMP1 are phospholipid scramblases whose deficiency impairs the normal cellular distribution of cholesterol and phosphatidylserine. Their mechanism of action on LD formation is likely to be different from that of seipin. Their role in maintaining cellular phosphatidylserine and cholesterol homeostasis may partially explain their requirement for viral infection. Our results suggest that the proper sorting and distribution of cellular lipids are essential for organelle biogenesis and viral infection.

[Impact of the COVID-19 epidemic on anxiety among the elderly in community].

Objective: To compare the prevalence of anxiety among old people before and during the COVID-19 epidemic in China, and to provide scientific evidence for psychological intervention of the elderly during public health emergencies. Methods: In 2019, the National Psychological Care Project for the Elderly was launched, covering 818 communities across the country, and 188 407 subjects received psychological assessment. In April and May 2020, a convenient sample of 6 467 aged 65 and above subjects were followed up on the anxiety status and its influencing factors during the epidemic period by using structurized questionnaire. Data collection and management were carried out using the national elderly psychological care project data collection platform. McNemar test was used to compare the difference of the prevalence of anxiety among elderly before (October 2019 to January 23, 2020) and during the epidemic (April-May 2020). The difference of the prevalence of anxiety among elderly with different characteristics was compared by chi square test. The influencing factors of anxiety before and during the epidemic situation were analyzed by multivariate logistic regression model. Results: The prevalence of anxiety symptoms in the elderly population was 4.95% (95%CI: 4.42%-5.48%) before the outbreak of COVID-19, and 10.10% (95%CI: 9.36%-10.83%) during the epidemic which was twice as high as before the outbreak. The difference was statistically significant (P<0.05). Multivariate logistic regression analysis showed that the risk factors of anxiety symptoms before the outbreak were with one underlying disease (OR=1.57, 95%CI: 1.05-2.37), with two or more underlying diseases (OR=3.10, 95%CI: 2.13-4.51), and the protective factors were with hobbies, good relationship between children, good relationship with spouse, positive aging attitude and good psychological resilience (all P<0.05). The risk factors of developing anxiety symptoms during the epidemic were living in rural areas (OR=1.77, 95%CI: 1.42-2.20), participating in social activities regularly (OR=1.23, 95%CI: 1.02-1.48), having a good relationship with friends (OR=1.42, 95%CI: 1.11-1.82) and were quarantined or people around were quarantined for medical observation (OR=2.80, 95% CI: 1.90-4.13). Conclusion: The COVID-19 epidemic leads to a double increase in anxiety among the elderly. We should pay more attention to the psychological state of the elderly in rural area and who is being quarantined or people around being quarantined for medical observation.

A SARS-CoV-2 Microscopic Image Dataset with Ground Truth Images and Visual Features

SARS-CoV-2 has characteristics of wide contagion and quick propagation velocity. To analyse the visual information of it, we build a SARS-CoV-2 Microscopic Image Dataset (SC2-MID) with 48 electron microscopic images and also prepare their ground truth images. Furthermore, we extract multiple classical features and novel deep learning features to describe the visual information of SARS-CoV-2. Finally, it is proved that the visual features of the SARS-CoV-2 images which are observed under the electron microscopic can be extracted and analysed. © 2020, Springer Nature Switzerland AG.