Electrochemical generation of N-acyloxy amidyl radicals via an inner-sphere electron-transfer process is described for the first time. With NaBr as the catalyst and electrolyte, the in situ generated amidyl radicals undergo intramolecular C(sp/sp)-H aminations to give lactams with unprecedented regio- and chemoselectivities. Moreover, the synthetic utility of current method is demonstrated by the synthesis of PJ34 and Phenaglaydon.

Nonalcoholic steatohepatitis (NASH), the advanced stage of nonalcoholic fatty liver disease (NAFLD), is emerging as a leading cause of progressive liver fibrosis and end-stage liver disease. Liver macrophages, mainly composed of Kupffer cells (KCs) and monocyte-derived macrophages (MoMFs), play a vital role in NASH progression and regression. Recent advances suggest that cell-cell communication is a fundamental feature of hepatic microenvironment. The reprogramming of cell-cell signaling between macrophages and surrounding cells contributes to the pathogenesis of NASH. In this review, we summarize the current knowledge of NASH regarding the composition of liver macrophages and their communication with surrounding cells, which are composed of hepatocytes, hepatic stellate cells (HSCs), liver sinusoidal endothelial cells (LSECs) and other immune cells. We also discuss the potential therapeutic strategies based on the level of macrophages.

Purposes Since a considerable number of health care workers (HCWs) were sent to Wuhan to aid COVID-19 control during the epidemic, non-frontline HCWs who stayed in local hospitals had to work overload to provide daily health care services for other health issues, which makes them more vulnerable to experience fatigue. Self-efficacy is suggested as a protective factor for fatigue. Nonetheless, less is known regarding the underlying mechanisms. This research aimed to explore the prevalence of fatigue among non-frontline HCWs during the pandemic, investigate the mediating effect of posttraumatic stress disorder (PTSD) symptoms and moderating effect of negative coping in the association between self-efficacy and fatigue. Methods General Self-Efficacy Scale, PTSD Checklist-Civilian Version, Simplified Coping Style Questionnaire and 14-item Fatigue Scale were administrated to 527 non-frontline HCWs from Anhui Province, China. The mediating effect was examined by Mackinnon’s four-step procedure, while Hayes PROCESS macro was used to test the moderated mediation model. Results The prevalence of fatigue among non-frontline HCWs was 56.7%. The effect of self-efficacy on fatigue was partially mediated by PTSD symptoms (ab = -0.146, SE = 0.030, 95% CI = [-0.207, -0.095]). Additionally, negative coping moderated both the direct effect of self-efficacy on fatigue (β = -0.158, P<0.001) and the mediating effect of PTSD symptoms (β = 0.077, P = 0.008). When the standard score of negative coping increased to 1.49 and over, the direct association between self-efficacy and fatigue became insignificant. Likewise, the effect of self-efficacy on PTSD symptoms had no statistical significance when the standard score of negative coping was -1.40 and lower. Conclusions More than half non-frontline HCWs suffered from fatigue during COVID-19. For those who tend to use negative coping, it might be crucial to design programs combining the enhancement of self-efficacy, preventions for PTSD symptoms and interventions for fatigue.

Background. Health care workers (HCWs) fighting Coronavirus Disease 2019 (COVID-19) are not immune to fatigue. Self-efficacy has been suggested as a protective factor for fatigue. Nonetheless, less is known regarding the underlying mechanisms behind the association. This research aimed to explore the prevalence of fatigue among HCWs during the pandemic, investigate the mediating effect of posttraumatic stress disorder (PTSD) symptoms and moderating effect of negative coping in the association between self-efficacy and fatigue.Methods. The cross-sectional study employed a sample of 527 HCWs from Anhui Province, China. Self-efficacy, PTSD symptoms, negative coping and fatigue were measured by General Self-Efficacy Scale (GSES), PTSD Checklist-Civilian Version (PCL-C), Simplified Coping Style Questionnaire (CSCQ) and 14-item Fatigue Scale (FS-14) respectively.Results. The prevalence of fatigue among HCWs was 56.7%. The effect of self-efficacy on fatigue was partially mediated by PTSD symptoms. Additionally, negative coping moderated both the direct effect of self-efficacy on fatigue and the mediating effect of PTSD symptoms. As revealed by Johnson-Neyman technique, when the standard score of negative coping enhanced to 1.49 and over, the direct association between self-efficacy and fatigue was not significant. Likewise, the effect of self-efficacy on PTSD symptoms had no statistical significance when the standard score of negative coping was − 1.40 and lower.Conclusions. More than half HCWs suffer from fatigue during the COVID-19. For HCWs during the COVID-19 epidemic, especially those with higher levels of negative coping, it might be crucial to design program combining the enhancement of self-efficacy and interventions for PTSD to reduce fatigue.

Perovskite film with high crystal quality is fundamental to achieving high‐performance solar cells. A fast nucleation process is crucial to improving the crystallization quality. Here, we propose a self‐driven prenucleation strategy to achieve fast nucleation. This is realized through rational solvent design. The key characteristics of different solvents are systematically evaluated. Among them, formamide, with ultra‐high dielectric constant, low Gutman donor number, and a high boiling point, is selected as the co‐solvent. These unique characteristics render formamide a double‐face solvent that is a good solvent for formamidinium iodide (FAI) and CsI while a poor solvent for PbI2. As a result, formamide induces the self‐driven prenucleation of PbI2‐DMSO seeding crystals and accelerates the nucleation, improving the crystalline quality of perovskite film. The efficiency of the hole transport layer‐free carbon‐based perovskite solar cells is boosted beyond 19 % for the first time.

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Objective To investigate the prevalence of sleep quality and mental disturbances of medical staff and identify the effects of region, epidemic stage, and demographic characteristics during the COVID-19 outbreak in China. Method Self-administered questionnaire were sent to health care workers (HCWs) in China from 30 Jan to 2 March, 2020. The Pittsburgh Sleep Quality Index, the Patient Health Questionare-9, the Generalized Anxiety Disorder-7 and the Impact of Event Scale were used to assess sleep quality, depression symptoms, anxiety symptoms and Post-traumatic stress disorder (PTSD) of HCWs, respectively. The influencing factors of psychological and sleep disturbances were identified by univariate analysis and multiple regression. Result The incidence of people getting depression, anxiety or PTSD symptoms were 11.6%,13.3%, 14.3%, respectively. HCWs in Hubei province experienced significantly poorer sleep quality (t=5.034, P<0.001). The predictors of sleep quality among HCWs were COVID-19 stage 2 (β=.135, p=.014) and 3 (β=.184, p=.001), female (β=.141, p=.003) and older age (β=.160, p=.001).Not working in Hubei province (β=-.264, P<0.001) showed to be a protective factor of sleep quality. The risk factors of depression symptoms were not working in Hubei province (OR=4.318, P<0.001), administrative and logistic staff and others (OR=3.538, p=.011), and higher PSQI score (OR=1.282, P<0.001). Having children (under-age: OR=.292, p=.001, grown-up: OR=.293, p=.042) was identified as a protective factor of having depression symptoms. Poor sleep quality showed to be the risk factor of anxiety and PTSD symptoms as well (both p<.001). Furthermore, administrative and logistic staff and others (OR=3.399, p=.006) were found to be the risk factor of PTSD symptoms among HCWs. Conclusion HCWs had poorer sleep quality on stage 2and 3 of the outbreak. HCWs in Hubei had poorer sleep quality but lighter depression condition. gender, age, occupation and status of having children were associated with sleep and mental health. Mental health programs should be considered for HCWs especially those with specific characteristics. Key words COVID-19, Depression, Anxiety, PTSD, Sleep quality, Health care workers

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