Psychological antecedents of COVID-19 information sharing within strong-tie and weak-tie networks.

Objective: This study investigates the psychological mechanisms underlying people's sharing of COVID-19 information within their strong-tie networks and weak-tie networks. Methods: A cross-sectional online survey was conducted between March and April 2020 (N = 609 Chinese adults). Measures included emotions and behavioral beliefs about COVID-19 information sharing, risk perceptions, and COVID-19 information acquisition and sharing behaviors. Multiple linear regression was performed to examine the psychological predictors of COVID-19 information sharing. Results: People were more likely to share COVID-19 information within their strong-tie networks when they experienced more negative emotions (ß = .09, p = .01) and had stronger beliefs that information sharing would promote disease prevention (ß = .12, p = .004). By comparison, negative emotions were the only significant predictor of COVID-19 information sharing (ß = .12, p = .002) within weak-tie networks (ß = .04, p = .31 for beliefs about sharing). Conclusion: People may share COVID-19 information within weak-tie networks to cope with negative emotions regardless of whether they perceive information sharing as beneficial to disease prevention. Innovation: Health educators should raise people's awareness of the psychological motivators of COVID-19 information sharing to create a healthy information environment for disease prevention.

A Novel Prognostic Signature Based on Ferroptosis-Related Genes Predicts the Prognosis of Patients With Advanced Bladder Urothelial Carcinoma.

Bladder Urothelial Carcinoma (BLCA) is the major subtype of bladder cancer, and the prognosis prediction of BLCA is difficult. Ferroptosis is a newly discovered iron-dependent cell death pathway. However, the clinical value of ferroptosis-related genes (FRGs) on the prediction of BLCA prognosis is still uncertain. In this study, we aimed to construct a novel prognostic signature to improve the prognosis prediction of advanced BLCA based on FRGs. In the TCGA cohort, we identified 23 differentially expressed genes (DEGs) associated with overall survival (OS) via univariate Cox analysis (all P < 0.05). 8 optimal DEGs were finally screened to generate the prognostic risk signature through LASSO regression analysis. Patients were divided into two risk groups based on the median risk score. Survival analyses revealed that the OS rate in the high-risk group was significantly lower than that in the low-risk group. Moreover, the risk score was determined as an independent predictor of OS by the multivariate Cox regression analysis (Hazard ratio > 1, 95% CI = 1.724-2.943, P < 0.05). Many potential ferroptosis-related pathways were identified in the enrichment analysis in BLCA. With the aid of an external FAHWMU cohort (n = 180), the clinical predication value of the signature was further verified. In conclusion, the prognosis of advanced BLCA could be accurately predicted by this novel FRG-signature.

Source Trust and COVID-19 Information Sharing: The Mediating Roles of Emotions and Beliefs About Sharing.

Health information sharing has become especially important during the COVID-19 (coronavirus disease 2019) pandemic because people need to learn about the disease and then act accordingly. This study examines the perceived trust of different COVID-19 information sources (health professionals, academic institutions, government agencies, news media, social media, family, and friends) and sharing of COVID-19 information in China. Specifically, it investigates how beliefs about sharing and emotions mediate the effects of perceived source trust on source-specific information sharing intentions. Results suggest that health professionals, academic institutions, and government agencies are trusted sources of information and that people share information from these sources because they think doing so will increase disease awareness and promote disease prevention. People may also choose to share COVID-19 information from news media, social media, and family as they cope with anxiety, anger, and fear. Taken together, a better understanding of the distinct psychological mechanisms underlying health information sharing from different sources can help contribute to more effective sharing of information about COVID-19 prevention and to manage negative emotion contagion during the pandemic.

[Research of New Coloration Biochip Reader Based on Charge-coupled Device].

Aiming at long signal acquisition time,low flux,bad signal-to-noise ratio and low intelligence in coloration biochip reader,a new kind of rapid device with high flux was developed.The device consisted of hardware system and software system.It used a charge-coupled device(CCD)as the photoelectric sensor elements and obtained the biochip microarray image.The device integrated the embedded operating system based on i.MX6 chip.The microarray image processing,data analysis and result output were achieved through the code information of the software chip.Experiments with the standard grayscale sheet and standard format chip were carried out.The results showed that the maximum measurement error was less than 0.1%,the value of R2 was 98.7%,and the value of CV was1.096 1%.The comparison results of 200 samples showed that detection performance of the proposed device was better than that of the same kind of marketed equipment.