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In the rapidly evolving landscape of smart transportation, the passenger volume in urban rail transit consistently demonstrates an upward trajectory. In this context, precise and scientifically grounded short-term passenger flow prediction methods are essential for optimizing operational scheduling and ensuring safety in urban rail transit. Consequently, this paper introduces Temporal Graph Attention Long Short-Term Memory (TGALSTM), a spatiotemporal integrated prediction network model that incorporates the surrounding environment of the station. Initially, the paper enhanced the Temporal Convolutional Network (TCN) model to capture temporal features more accurately. Subsequently, the paper utilizes the Graph Attention Network (GAT) network module specifically to extract the topological structure and surrounding environmental features of the station. Lastly, the prediction task is accomplished by weighted fusion of various features, inputting them into the Attention Long Short-Term Memory (LSTM) network. Experiments were conducted on two authentic datasets, revealing that the TGALSTM model outperforms the baseline model in both single-step and double-step predictions, showcasing the model’s exceptional performance and robustness. This research offers a robust method and support to enhance the operational efficiency and passenger flow management of urban rail transit systems.

Objective To investigate the clinical efficacy and effects of periodontal endoscope (PE)-assisted subgingival scaling and root planning (SRP) and traditional SRP on the psychological and quality of life of patients with periodontitis. Methods This study was reviewed and approved by the Ethics Committee, and informed consent was obtained from the patients. Patients with periodontitis who were treated in the Department of Periodontology, Nanjing Stomatological Hospital, Medical School of Nanjing University from April 2018 to December 2022 with residual periodontal pockets (PD ≥ 5 mm) 6 weeks after traditional SRP treatment were enrolled, and the residual periodontal pockets were further treated with PE-assisted SRP (PE+SRP). After 6 weeks of traditional SRP treatment and 3 months of PE+SRP treatment, clinical indicators, including plaque index (PLI), probing depth (PD), clinical attachment loss (CAL) and bleeding on probing (BOP), were measured, and periodontal tissue self-awareness scale scores, oral health impact profile-14 (OHIP-14) score and dental fear scale (DFS) score were collected. Moreover, visual analog scale (VAS) scores were collected after traditional SRP and PE-assisted SRP treatments. Results Twenty-three patients with periodontitis, including 832 sites of 486 affected teeth, were included in the clinical study. Three months after PE+SRP treatment, all clinical periodontal indicators, PLI (t = 9.254, P

ObjectiveTo understand the current status of primary healthcare workers’ knowledge of hepatitis B and their willingness to engage in non-discriminatory behaviors， to explore the factors influencing their willingness， and to provide a basis for health education on hepatitis B for primary healthcare workers in Qinghai Province.MethodsA questionnaire survey was conducted among primary healthcare institutions in eight cities （prefectures） of Qinghai Province using a combination of random sampling and convenience sampling. The questionnaire included demographic information， knowledge related to hepatitis B， and willingness to engage in non-discriminatory behaviors.ResultsA total of 393 subjects were included in the survey. The accurate awareness rate of hepatitis B transmission route among primary healthcare workers in Qinghai Province was 36.89%. Of the respondents， 46.31% were unwilling to live with family members infected with HBV or carriers， and 50.13% were unwilling to dine with friends infected with HBV or carriers. The willingness of primary healthcare workers to engage in non-discriminatory behaviors related to hepatitis B varied by different places of residence， gender， marital status and per capita household income （P

ObjectiveTo analyze the online public Q&A texts on HPV vaccine， focus on the important issues related to HPV vaccination and cervical cancer prevention in China， and propose strategies and suggestions.MethodsThe latent Dirichlet allocation （LDA） topic model was employed to extract key topics of 15 565 Q&A texts related to HPV vaccines from the social Q&A platform "Zhihu". The Baidu AI sentiment analysis tool was used to analyze the emotional tendencies of the texts corresponding to each topic， and the topics were classified based on the strategic coordinate method.ResultsOnline users focused on eight topics about HPV vaccine information. Among them， vaccination knowledge， HPV vaccination hesitation， and HPV vaccine development and marketing belonged to the low positivity-high negativity emotional topics， HPV infection and high-risk factors belonged to the low positivity-low negativity emotional topics， and HPV vaccine appointment channels， comparison between domestic and imported vaccines， HPV vaccines and cervical cancer prevention， and HPV vaccine types and selection were grouped under high positivity-low negativity emotional topics.ConclusionPublic concerns regarding HPV vaccines can be classified into three major dimensions： health knowledge， health beliefs， and health behaviors. Overall， the public's views and attitudes towards vaccine-related issues are not optimistic. Strengthening science publicity and education， enhancing vaccine supervision， and encouraging enterprises’ innovative research and development capability are effective strategies to improve public awareness of cervical cancer prevention and accelerate the full HPV vaccination coverage.

This review summarizes commonly used hospital-based healthcare quality evaluation systems at home and abroad, and focuses on evaluation indicators regarding patient safety. Through the comparative analysis between different evaluation systems, it tries to shed light on China's healthcare quality evaluation system, especially the indicators related to patient safety. The purpose of this review is to understand and learn from foreign evaluation systems on patient safety, which can help further improve the quality of healthcare in China.

We test the signaling view of corporate social responsibility (CSR) engagement using two complementary quasi-natural experiments that impose exogenous negative pressure on stock prices. Firms under such adverse price pressure increase CSR activities compared to otherwise similar firms. This effect concentrates among firms with stronger signaling incentives, namely, those facing greater information asymmetry, more product market competition, higher shareholder litigation risk, and higher stock price crash risk. Firms under the exogenous negative price pressure mainly improve CSR strengths, including costly environmental investments. We also find that CSR engagement attracts socially responsible investors and lowers the cost of capital for signaling firms. [ABSTRACT FROM AUTHOR]