Background Asthma poses a serious threat to children's growth, development, and mental health, thus there has been an increasing focus on the control of asthma morbidity in children and the assessment of its risk factors. A growing body of research has found that exposure to ambient air pollutants an significatly increase the risk of childhood asthma. Objective To understand the changes of ambient air pollutant concentrations in Nanjing and asthma outpatient visits to Nanjing Children's Hospital, and to quantitatively analyze the effects of exposure to different ambient air pollutants on children's asthma outpatient visits. Methods Daily data of ambient air pollutants fine particulate matter (PM_2.5), inhalable particle (PM₁₀), sulfur dioxide (SO₂), nitrogen dioxide (NO₂), carbon monoxide (CO), ozone (O₃), meteorological factors (air temperature & relative humidity), and outpatient visits due to asthma in the hospital from January 1, 2019 to December 31, 2023 were collected, and a generalized additive model based on quasi poisson distributions was used to quantitatively analyze the short-term effects of ambient air pollutant exposure on outpatient visits due to asthma in the hospital. Results The annual average concentrations of PM_2.5, PM₁₀, SO₂, and NO₂ in Nanjing from 2019 to 2023 did not exceed the national limits. For single-day lagged effects, the single-pollutant model showed that the effects of PM_2.5, PM₁₀, NO₂, and CO on children's asthma outpatient visits were greatest for every 10 units increase at lag0, with excess risk (ER) of 1.39% (95%CI: 0.65%, 2.14%), 1.46% (95%CI: 0.97%, 1.95%), 5.46% (95%CI: 4.36%, 6.57%), and 0.18% (95%CI: 0.11%, 0.26%), respectively, and SO₂ reached the maximum effect at lag1, with an ER of 23.15% (95%CI: 13.57%, 33.53%) for each 10 units increase in concentration. Different pollutants reached their maximum cumulative lag effects at different time. The PM₁₀, PM_2.5, SO₂, NO₂, and CO showed the largest cumulative lag effects at lag01, lag01, lag02, lag02, and lag03, respectively, with ERs of 1.35% (95%CI: 0.77%, 1.92%), 0.96% (95%CI: 0.10%, 1.83%), 28.50% (95%CI: 15.49%, 42.98%), 6.92% (95%CI: 5.53%, 8.33%), and 0.31% (95%CI: 0.20%, 0.42%), respectively. The influences of PM_2.5 and PM₁₀ on outpatient visits due to asthma in the hospital became more pronounced with advancing age, while the associations with NO₂, SO₂, and CO were weakened as children grew older. Conclusion Ambient air pollutants (PM_2.5, PM₁₀, SO₂, NO₂, CO) can increase childhood asthma visits, and different pollutants have varied effects on the number of asthmatic children's visits at different ages.

ObjectiveTransfer RNA-derived fragments (tRFs) are a recently characterized and rapidly expanding class of small non-coding RNAs, typically ranging from 13 to 50 nucleotides in length. They are derived from mature or precursor tRNA molecules through specific cleavage events and have been implicated in a wide range of cellular processes. Increasing evidence indicates that tRFs play important regulatory roles in gene expression, primarily by interacting with target messenger RNAs (mRNAs) to induce transcript degradation, in a manner partially analogous to microRNAs (miRNAs). However, despite their emerging biological relevance and potential roles in disease mechanisms, there remains a significant lack of computational tools capable of systematically predicting the interaction landscape between tRFs and their target mRNAs. Existing databases often rely on limited interaction features and lack the flexibility to accommodate novel or user-defined tRF sequences. The primary goal of this study was to develop a machine learning based prediction algorithm that enables high-throughput, accurate identification of tRF:mRNA binding events, thereby facilitating the functional analysis of tRF regulatory networks. MethodsWe began by assembling a manually curated dataset of 38 687 experimentally verified tRF:mRNA interaction pairs and extracting seven biologically informed features for each pair: (1) AU content of the binding site, (2) site pairing status, (3) binding region location, (4) number of binding sites per mRNA, (5) length of the longest consecutive complementary stretch, (6) total binding region length, and (7) seed sequence complementarity. Using this dataset and feature set, we trained 4 distinct machine learning classifiers—logistic regression, random forest, decision tree, and a multilayer perceptron (MLP)—to compare their ability to discriminate true interactions from non-interactions. Each model’s performance was evaluated using overall accuracy, receiver operating characteristic (ROC) curves, and the corresponding area under the ROC curve (AUC). The MLP consistently achieved the highest AUC among the four, and was therefore selected as the backbone of our prediction framework, which we named tRF Prospect. For biological validation, we retrieved 3 high-throughput RNA-seq datasets from the gene expression omnibus (GEO) in which individual tRFs were overexpressed: AS-tDR-007333 (GSE184690), tRF-3004b (GSE197091), and tRF-20-S998LO9D (GSE208381). Differential expression analysis of each dataset identified genes downregulated upon tRF overexpression, which we designated as putative targets. We then compared the predictions generated by tRF Prospect against those from three established tools—tRFTar, tRForest, and tRFTarget—by quantifying the number of predicted targets for each tRF and assessing concordance with the experimentally derived gene sets. ResultsThe proposed algorithm achieved high predictive accuracy, with an AUC of 0.934. Functional validation was conducted using transcriptome-wide RNA-seq datasets from cells overexpressing specific tRFs, confirming the model’s ability to accurately predict biologically relevant downregulation of mRNA targets. When benchmarked against established tools such as tRFTar, tRForest, and tRFTarget, tRF Prospect consistently demonstrated superior performance, both in terms of predictive precision and sensitivity, as well as in identifying a higher number of true-positive interactions. Moreover, unlike static databases that are limited to precomputed results, tRF Prospect supports real-time prediction for any user-defined tRF sequence, enhancing its applicability in exploratory and hypothesis-driven research. ConclusionThis study introduces tRF Prospect as a powerful and flexible computational tool for investigating tRF:mRNA interactions. By leveraging the predictive strength of deep learning and incorporating a broad spectrum of interaction-relevant features, it addresses key limitations of existing platforms. Specifically, tRF Prospect: (1) expands the range of detectable tRF and target types; (2) improves prediction accuracy through multilayer perceptron model; and (3) allows for dynamic, user-driven analysis beyond database constraints. Although the current version emphasizes miRNA-like repression mechanisms and faces challenges in accurately capturing 5'UTR-associated binding events, it nonetheless provides a critical foundation for future studies aiming to unravel the complex roles of tRFs in gene regulation, cellular function, and disease pathogenesis.

Objective To analyze the current research status and hotspot issues of performance assessment in tertia-ry public hospitals in China,providing reference for subsequent research and practice.Methods Using"performance assessment of tertiary public hospitals"as the main keyword,a total of 520 articles were retrieved from the CNKI ac-ademic journal database from January 30,2019,to January 30,2024.After further screening of literature based on the inclusion and exclusion criteria,a total of 364 eligible articles were obtained.Visual analysis was conducted using the VOSviewer tool.Results The number of publications increased annually from 2019 to 2021,with a decline ob-served in 2022-2023."Chinese Journal of Health"published the most articles on performance assessment in tertiary public hospitals.Research institutions mainly focused on universities,health administrative departments,and hospi-tals.The hotspot clusters of research included performance assessment,public hospitals,target management,high-quality development,tertiary hospitals,and operational efficiency.Conclusion Performance assessment in tertia-ry public hospitals has received widespread attention,with rich connotations and obvious guiding effects,but further research is needed to deepen and explore related topics.

Backgrounds Insomnia is frequent in schizophrenia and is found to be negatively affected by stressful life events,psychotic symptoms and depressive disorder,while the relationship among the four remains understudied in community-dwelling patients with schizophrenia.Objective To analyze the effect of stressful life events on insomnia in community-dwelling patients with schizophrenia,and to explore the mediation effect of psychotic symptoms and depression,so as to provide references for the intervention of insomnia in community-dwelling patients with schizophrenia.Methods From April to June 2023,a sample of 1 105 patients with schizophrenia attending 48 community health centers in Chengdu,Sichuan province and fulfilling the International Classification of Diseases,tenth edition(ICD-10)diagnostic criteria were included.All subjects were assessed using Stressful Life Event Scale(SLEs),Athens Insomnia Scale(AIS),Psychosis Screening Questionnaire(PSQ),and Patient Health Questionnaire Depression Scale(PHQ-9).Spearman correlation analysis was used to determine the correlation among the scales.Then the mediation model was constructed using Smart PLS 4.0,and tested with partial least squares algorithm and Bootstrap techniques.Results 332 patients(30.05%)with community schizophrenia were found to have insomnia.AIS scores in patients with schizophrenia were positively correlated with the scores on SLEs,PSQ and PHQ-9(r=0.165,0.322,0.554,P<0.01).Stressful life events indirectly contributed to insomnia through both separate mediation path and chained mediation path of psychotic symptoms and depressive disorder,and the indirect effect size of 0.102,0.372 and 0.190 was obtained,accounting for 10.46%,38.15%and 19.49%,respectively.Conclusion The stressful life events not only directly exert an impact on insomnia,but also indirectly contribute to insomnia through both the separate and chained mediation effect of psychotic symptoms and depressive disorder.

Objective To analyze the current research status and hotspot issues of performance assessment in tertia-ry public hospitals in China,providing reference for subsequent research and practice.Methods Using"performance assessment of tertiary public hospitals"as the main keyword,a total of 520 articles were retrieved from the CNKI ac-ademic journal database from January 30,2019,to January 30,2024.After further screening of literature based on the inclusion and exclusion criteria,a total of 364 eligible articles were obtained.Visual analysis was conducted using the VOSviewer tool.Results The number of publications increased annually from 2019 to 2021,with a decline ob-served in 2022-2023."Chinese Journal of Health"published the most articles on performance assessment in tertiary public hospitals.Research institutions mainly focused on universities,health administrative departments,and hospi-tals.The hotspot clusters of research included performance assessment,public hospitals,target management,high-quality development,tertiary hospitals,and operational efficiency.Conclusion Performance assessment in tertia-ry public hospitals has received widespread attention,with rich connotations and obvious guiding effects,but further research is needed to deepen and explore related topics.

Objective To analyze the current research status and hotspot issues of performance assessment in tertia-ry public hospitals in China,providing reference for subsequent research and practice.Methods Using"performance assessment of tertiary public hospitals"as the main keyword,a total of 520 articles were retrieved from the CNKI ac-ademic journal database from January 30,2019,to January 30,2024.After further screening of literature based on the inclusion and exclusion criteria,a total of 364 eligible articles were obtained.Visual analysis was conducted using the VOSviewer tool.Results The number of publications increased annually from 2019 to 2021,with a decline ob-served in 2022-2023."Chinese Journal of Health"published the most articles on performance assessment in tertiary public hospitals.Research institutions mainly focused on universities,health administrative departments,and hospi-tals.The hotspot clusters of research included performance assessment,public hospitals,target management,high-quality development,tertiary hospitals,and operational efficiency.Conclusion Performance assessment in tertia-ry public hospitals has received widespread attention,with rich connotations and obvious guiding effects,but further research is needed to deepen and explore related topics.

Objective To analyze the current research status and hotspot issues of performance assessment in tertia-ry public hospitals in China,providing reference for subsequent research and practice.Methods Using"performance assessment of tertiary public hospitals"as the main keyword,a total of 520 articles were retrieved from the CNKI ac-ademic journal database from January 30,2019,to January 30,2024.After further screening of literature based on the inclusion and exclusion criteria,a total of 364 eligible articles were obtained.Visual analysis was conducted using the VOSviewer tool.Results The number of publications increased annually from 2019 to 2021,with a decline ob-served in 2022-2023."Chinese Journal of Health"published the most articles on performance assessment in tertiary public hospitals.Research institutions mainly focused on universities,health administrative departments,and hospi-tals.The hotspot clusters of research included performance assessment,public hospitals,target management,high-quality development,tertiary hospitals,and operational efficiency.Conclusion Performance assessment in tertia-ry public hospitals has received widespread attention,with rich connotations and obvious guiding effects,but further research is needed to deepen and explore related topics.

Objective To analyze the current research status and hotspot issues of performance assessment in tertia-ry public hospitals in China,providing reference for subsequent research and practice.Methods Using"performance assessment of tertiary public hospitals"as the main keyword,a total of 520 articles were retrieved from the CNKI ac-ademic journal database from January 30,2019,to January 30,2024.After further screening of literature based on the inclusion and exclusion criteria,a total of 364 eligible articles were obtained.Visual analysis was conducted using the VOSviewer tool.Results The number of publications increased annually from 2019 to 2021,with a decline ob-served in 2022-2023."Chinese Journal of Health"published the most articles on performance assessment in tertiary public hospitals.Research institutions mainly focused on universities,health administrative departments,and hospi-tals.The hotspot clusters of research included performance assessment,public hospitals,target management,high-quality development,tertiary hospitals,and operational efficiency.Conclusion Performance assessment in tertia-ry public hospitals has received widespread attention,with rich connotations and obvious guiding effects,but further research is needed to deepen and explore related topics.

Objective To analyze the current research status and hotspot issues of performance assessment in tertia-ry public hospitals in China,providing reference for subsequent research and practice.Methods Using"performance assessment of tertiary public hospitals"as the main keyword,a total of 520 articles were retrieved from the CNKI ac-ademic journal database from January 30,2019,to January 30,2024.After further screening of literature based on the inclusion and exclusion criteria,a total of 364 eligible articles were obtained.Visual analysis was conducted using the VOSviewer tool.Results The number of publications increased annually from 2019 to 2021,with a decline ob-served in 2022-2023."Chinese Journal of Health"published the most articles on performance assessment in tertiary public hospitals.Research institutions mainly focused on universities,health administrative departments,and hospi-tals.The hotspot clusters of research included performance assessment,public hospitals,target management,high-quality development,tertiary hospitals,and operational efficiency.Conclusion Performance assessment in tertia-ry public hospitals has received widespread attention,with rich connotations and obvious guiding effects,but further research is needed to deepen and explore related topics.

Objective To analyze the current research status and hotspot issues of performance assessment in tertia-ry public hospitals in China,providing reference for subsequent research and practice.Methods Using"performance assessment of tertiary public hospitals"as the main keyword,a total of 520 articles were retrieved from the CNKI ac-ademic journal database from January 30,2019,to January 30,2024.After further screening of literature based on the inclusion and exclusion criteria,a total of 364 eligible articles were obtained.Visual analysis was conducted using the VOSviewer tool.Results The number of publications increased annually from 2019 to 2021,with a decline ob-served in 2022-2023."Chinese Journal of Health"published the most articles on performance assessment in tertiary public hospitals.Research institutions mainly focused on universities,health administrative departments,and hospi-tals.The hotspot clusters of research included performance assessment,public hospitals,target management,high-quality development,tertiary hospitals,and operational efficiency.Conclusion Performance assessment in tertia-ry public hospitals has received widespread attention,with rich connotations and obvious guiding effects,but further research is needed to deepen and explore related topics.