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BackgroundAs representatives of health information communication platforms accessed through mobile phones and mobile terminals, health-related WeChat public accounts (HWPAs) have a large consumer base in the Chinese-speaking world. However, there is still a lack of general understanding of the status quo of HWPAs and the quality of the articles they release. ObjectiveThe aims of this study were to assess the conformity of HWPAs to the Health on the Net Foundation Code of Conduct (HONcode) and to evaluate the suitability of articles disseminated by HWPAs. MethodsThe survey was conducted from April 23 to May 5, 2019. Based on the monthly (March 1-31, 2019) WeChat Index provided by Qingbo Big Data, the top 100 HWPAs were examined to evaluate their HONcode compliance. The first four articles published by each HWPA on the survey dates were selected as samples to evaluate their suitability. All materials were assessed by three raters. The materials were assessed using the HONcode checklist and the Suitability Assessment of Materials (SAM) score sheet. Data analysis was performed with SPSS version 17.0 (SPSS Inc, Chicago, IL, USA) and Excel version 2013 (Microsoft Inc, Washington DC, USA). ResultsA total of 93 HWPAs and 210 of their released articles were included in this study. For six of the eight principles, the 93 HWPAs nearly consistently did not meet the requirements of the HONcode. The HWPAs certified by Tencent Corporation (66/93, 71%) were generally slightly superior to those without such certification (27/93, 29%) in terms of compliance with HONcode principles. The mean SAM score for the 210 articles was 67.72 (SD 10.930), which indicated “adequate” suitability. There was no significant difference between the SAM scores of the articles published by certified and uncertified HWPAs (P=.07), except in the literacy requirements dimension (tdf=97=–2.418, P=.02). ConclusionsThe HWPAs had low HONcode conformity. Although the suitability of health information released by HWPAs was at a moderate level, there were still problems identified, such as difficulty in tracing information sources, excessive implicit advertisements, and irregular usage of charts. In addition, the low approval requirements of HWPAs were not conducive to improvement of their service quality.

Deep convolutional neural networks(DCNN) has recently significantly pushed the state of the art of semantic image segmentation. However, as the network depth increases, the progressively lower resolution leads to a loss of feature information and a large number of segmentation errors near the image edges. This is an imperative problem for applications that require accurate segmentation such as intrusion detection of railway. To address this problem, we propose superpixel pooling DCNN combined with random walks networks (SDR-Net), a semantic segmentation model that combines improved DeepLabV3+ and random walks algorithm. Firstly, the improved DeepLabV3+ with superpixel-pooling ASPP (SPASPP) is used as the basic structure of SDR-Net to introduce image prior information and improve the image feature extraction performance. Then, all pixels of the initial segmentation are classified by a binary classification network based on D2S transformation into two categories: correctly labeled pixels and incorrectly labeled pixels. Thirdly, the correctly labeled pixels are used as seed points, and then random walk algorithm is applied to reclassify the mislabeled pixels to achieve higher precision semantic image segmentation. Experiments on PASCAL VOC2012 datasets show the effectiveness of the algorithm in this paper, and it was successfully applied to rail intrusion detection.

To evaluate the health information literacy (HIL) level and influencing factors among digital immigrants in rural China and to investigate their obstacles of online health information seeking. Cross-sectional study. Digital immigrants aged 45 to 65 in rural China. Self-assessment questionnaires and a semi-structured interview were developed to measure HIL among 1,132 participants. Nonparametric tests and multiple linear regression were employed to explain the influencing factors. The HIL level of digital immigrants is low. Age, education level, and experience of Internet use impacted their HIL. Digital immigrants primarily accessed the Internet via mobile terminals, but their poor information skills, their lack of HIL education, and the low readability of online health information are major barriers of online health information seeking. Although respondents recognized the positive effects of health-related information on health promotion, their abilities to seek, evaluate, and apply health information were weak. The government should incorporate HIL into the national health literacy promotion program and strengthen legislative supervision of online health information.

BACKGROUND:Reports on antiretroviral therapy (ART) adherence are scare in China; we performed this meta-analysis to estimate ART adherence rates in different populations at high risk for HIV transmission in China. METHODS:We searched PubMed, Chinese Biomedical Literature Database (Chinese), China National Knowledge Infrastructure (Chinese), and Wanfang (Chinese) to identify studies published from January 1985 to May 2015. We used random-effects meta-analysis to calculate weighted mean estimates across studies and 95% CIs. Data were pooled with proportions transformed prior to pooling using the Freeman-Tukey double arcsine transformation and then back transformed to the original scale. We calculated the I2 (and its 95% confidence intervals) and tau2 to assess between-study heterogeneity. RESULTS:We identified 36 eligible articles, including 6885 HIV-positive individuals, reporting ART adherence. Pooled analysis produced an estimate of 77.61% (95% CI = 71.63-83.08) of patients with HIV with adequate adherence; however, high heterogeneity was observed between studies (I2 = 96.60%, 95%CI = 96.00%-97.20%; tau2 = 0.16). Three studies, which included 149 old HIV-infected patients, reported the highest ART adequate adherence rate (89.39%, 95% CI = 72.01-99.26) with high heterogeneity between the studies (I2 = 86.20%, 95%CI = 60.00-95.20%; tau2 = 0.13). While, only two studies, which included 143 heterosexual transmission group (HTG) patients, reported the lowest ART adequate adherence rate (51.55%, 95% CI = 41.33-61.71) with low heterogeneity between the studies (I2 = 31.3%, tau2 = 0.007). In the multivariable meta-regression model, high-risk populations was the main factor explaining heterogeneity (variance explained 28.14%). CONCLUSIONS:ART adherence in some high-risk populations (e.g., heterosexual transmission group) is below the recommended levels for maintaining virologic suppression. It is crucial to develop comprehensive intervention strategies to promote ART adherence in high-risk populations and effectively prevent the spread of HIV/AIDS in China.

The economic indicators of cascade hydropower stations are the main technical means in the current economic operation management, but there are management loopholes in various economic indicators. Aiming at the particularity of the operation of cascade hydropower stations in dry season and the new form of grid reform, combined with the characteristics of various economic indicators, the power matching deviation coefficient is proposed to hedge the loophole of comprehensive water consumption rate, and the price difference is used to balance the spread between cascade hydropower stations. This indicator can correctly guide production and operation personnel to tap potential and increase efficiency and ensure healthy competition while ensuring the overall economic operation. The evaluation system has a good effect in the actual use of the Dadu River cascade hydropower stations, and has obvious promotion effect on the production control of the cascade hydropower stations.