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Tourism short videos have become a crucial means for disseminating information and promoting tourism destinations, with user engagement directly impacting their spread and the long-term development of tourism industries. Taking Xi'an as a case study, this paper constructs a framework for influencing factors of user engagement in tourism short videos from three dimensions: content, society, and technology, based on the theory of communication ecology. By blending multiple regression analysis with fuzzy-set qualitative comparative analysis (fsQCA), we explore the factors that influence user engagement in tourism short videos and further clarify the configurational causal relationships among these factors. This study found that: Content level (video type, scene quantity, scene representation, title sentence), social level (blogger type, blogger influence, blogger activity), and technological level (narrative way, background music, advertising information) significantly impact user engagement in tourism short videos. No single factor can solely constitute a necessary condition for promoting high user engagement. User engagement is actually the result of a combination of multiple factors. Notably, social level factors play a pervasive role in fostering active user engagement in tourism short videos. Further, fsQCA analysis identifies six conditional configurations that lead to high user engagement, categorizing them into three path types: content-driven, dual-dimensional co-driven, and comprehensive linkage. This study reveals the complex logic behind user engagement in tourism short videos, providing valuable insights for content marketing and promotional strategies of tourism short videos.

Introduction Intentional self-poisoning with prescribed medications (ISPPM) is an important form of self-harm and attempted suicide among adolescents. Analyses of clinical characteristics are vital for identifying recurrence risk factors and drug patterns for targeted interventions. Methods This was a retrospective analysis of adolescent ISPPM patients hospitalized in a Southwest China tertiary poisoning centre (January 2020–December 2024). Multivariate logistic regression was used to analyse the risk factors for recurrence, a generalized additive model (GAM) was used to analyse seasonal admission trends, and network analysis was used to identify combination patterns. Results A total of 462 patients were included (418 with a single admission and 44 with recurrent admissions). The patients (median age, 16 years) were predominantly female (80.5%). The number of inpatients with ISPPM showed an increasing trend annually. Patients with recurrent admissions ( n  = 44) were associated with significantly higher rates of previous psychiatric hospitalization (77.3% vs. 61.0%, P  = 0.05) and antipsychotic drug use (61.4% vs. 41.1%, P  = 0.016) but a lower incidence of impaired consciousness at admission (20.5% vs. 33.7%). Seasonal peaks occurred from April–June and September–December. The most common drug combination was antidepressants and antipsychotics (33.86%, n  = 150). Multivariate analysis showed that antipsychotic drug use was associated with a higher risk of recurrence (OR = 3.12; P  = 0.002), potentially reflecting greater clinical severity in this subgroup, and that impaired consciousness at admission was associated with a decrease in the ISPPM recurrence rate (OR = 0.29; P  = 0.003). The preliminary recurrence prediction model had moderate discrimination (AUC = 0.717) and good calibration (Brier score = 0.081). Conclusions The number of admissions for ISPPM has increased annually among adolescents, characterized by a female predominance, high depression incidence, high antipsychotic drug use, and obvious seasonal peaks. Antipsychotic drug use is associated with an increased risk of recurrence, likely serving as a marker of disease severity rather than a direct cause. Clinical trial number Not applicable.

Background Overdose is a prevalent method of suicide, and a thorough analysis of the demographic characteristics and risk behaviour patterns within the drug overdose population might facilitate the development of effective treatments and prevention methods. Methods This retrospective study analysed patients hospitalized for attempted suicide by drug overdose (2020–2023) at a tertiary care hospital in Western China. Data on sociodemographic and clinical characteristics were analysed using descriptive statistics and multivariable logistic regression. Results A total of 631 overdose cases originating from 604 patients were analysed. The resulting patient cohort had a male-to-female ratio of 1:3.1. The patient age range was 12–88 years, with more than half (57.0%) aged ≤ 20 years. The number of female patients was greater than that of male patients across all age groups, with this sex disparity decreasing with increasing age. Among 631 overdose cases, 84.2% involved psychiatric drugs, with antidepressants being the predominant drug type (296 cases, 46.9%). Adult patients predominantly used benzodiazepines and had a higher rate of alcohol co-ingestion, whereas adolescent patients used antidepressants and often combined multiple medications (≥3). The number of overdose cases showed a bimodal distribution and was more pronounced in the adolescent population, with peak drug use occurring in April and December, which coincided with academic cycles. A total of 52.0% of the patients had a history of psychiatric hospitalization, with depressive disorders being the predominant mental illness. Among the follow-up destinations, 36.7% of the adult patients returned home without psychiatric follow-up after treatment, which was significantly greater than the percentage of adolescents who returned home (19.9%, p  < 0.05). Multivariable analysis identified female sex (aOR = 0.56) and prior psychiatric contact (outpatient aOR = 0.12; hospitalization aOR = 0.21) as protective factors against loss to follow-up. Conclusion This study identifies adolescent females and individuals with depressive disorders as key populations for targeted suicide prevention. A bimodal peak in attempts coinciding with academic examination periods (April/December) supports implementing school-based screenings and stress management. Adults showed significantly higher disengagement from follow-up, with prior psychiatric contact emerging as a protective factor. These findings underscore the need for improved care continuity, especially for individuals without established mental health pathways. Clinical trial number Not applicable.

ObjectivesTo determine the prevalence of possible sarcopenia and its association with other conditions in older adults in Bengbu, China.Design, setting and participantsA cross-sectional study of 1082 community-dwelling Chinese people aged at least 60 years from March to June 2022.MethodsHandgrip strength and information regarding associated conditions were collected. Possible sarcopenia was estimated based on handgrip strength with cut-off values (<28 kg in men; <18 kg in women) recommended by the Asia Working Group for Sarcopenia in 2019. Mann-Whitney U tests, χ2 tests and binary logistic regression analyses were used to explore relationships between possible sarcopenia and associated conditions.ResultsPossible sarcopenia was more prevalent in men (52.79%, n=246, age 79.43±7.33 years among men with possible sarcopenia) than in women (44.48%, n=274, age 78.90±7.71 years among women with possible sarcopenia). In men, possible sarcopenia positively correlated with high age (OR 2.658, 95% CI 1.758 to 4.019), physical inactivity (OR 2.779, 95% CI 1.646 to 4.691) and diabetes (OR 4.269, 95% CI 2.397 to 7.602), and negatively with hypertension (OR 0.586, 95% CI 0.384 to 0.893). The risk of possible sarcopenia in men decreased by 12.6% for every 1 kg/m2 increase of body mass index (OR 0.874, 95% CI 0.817 to 0.935). In women, possible sarcopenia positively correlated with high age (OR 3.821, 95% CI 2.677 to 5.455), physical inactivity (OR 2.185, 95% CI 1.488 to 3.210) and arthritis (OR 2.076, 95% CI 1.411 to 3.056).ConclusionPossible sarcopenia is prevalent in older adults and the factors affecting possible sarcopenia are different in men and women. Health education about these target factors can be considered as a potential measure to prevent possible sarcopenia.

Objective: This study aimed to explore the mechanism by which increasing the temperature of drinking water in winter promotes sheep growth from a microbiological perspective.Methods: A total of 12 healthy male Hu sheep were evenly divided into two groups: one with drinking water at 12°C (WT12) and the other at 25°C (WT25), and they were raised for 60 days in the cold winter.Results: The WT25 group had higher average daily gain, serum immunoglobulin G, total antioxidant capacity, glutathione peroxidase, and superoxide dismutase, along with lower feed-to-gain ratio, serum cortisol, malondialdehyde, reactive oxygen species, and oxidative stress index when compared to the WT12 group (p<0.05). The concentrations of microbial crude protein, microbial density, autoinducer-2 signaling molecule concentration, and biofilm formation were higher in the WT25 group, while the ammonia nitrogen concentration was lower (p<0.05). The relative abundances of Muribaculum and Clostridia UCG-014, as well as the predicted metabolic pathways related to lipid metabolism, were lower in the WT25 group, whereas the metabolism of other amino acids showed increased abundances (p<0.05). Both principal coordinates analysis and analysis of similarities revealed no significant differences in rumen microbial communities between the WT12 and WT25 groups (p>0.05). Metabolomics analysis identified 12 differential metabolites, four of which were correlated with Muribaculum, Raoultibacter, and Coriobacteriales Incertae Sedis.Conclusion: These findings suggest that heated drinking water in winter may improve growth performance by increasing rumen microbial biofilm formation and enhancing serum antioxidant capacity in Hu sheep. This study reveals links between rumen microbial quorum sensing and critical parameters such as animal growth phenotypes, rumen metabolic characteristics, and specific bacterial genera. It offers innovative perspectives on enhancing animal feed efficiency through the modulation of rumen microbial quorum sensing.

With the development of technology, the popularity of online medical treatment is becoming more and more widespread. However, the accuracy and credibility of online medical treatment are affected by model design and semantic understanding. In particular, there are still some problems in the accurate understanding of complex structured texts, which affects the accuracy of judging users’ intentions and needs. Therefore, this paper proposes a new method for medical text parsing, which realizes core tasks such as named entity recognition, intention recognition, and slot filling through a multi-task learning framework; uses BERT to obtain contextual semantic information; and combines BiGRU and BiLSTM neural networks, and uses CRF to realize sequence annotation and DPCNN to realize classification prediction. Thus, the task of entity recognition and intention recognition can be accomplished. On this basis, this paper builds a multi-task learning model based on BiGRU-BiLSTM, and uses CBLUE and CMID databases to verify the method. The verification results show that the accuracy of named entity recognition and intention recognition reaches 86% and 89%, respectively, which improves the performance of various tasks. The ability of the model to process complex text is enhanced. This method can improve the text generalization ability and improve the accuracy of online medical intelligent dialogue when it is used to analyze medical texts.

Saline soil significantly hinders crop growth potential, reducing grain yields. Applying maize ( Zea mays L.) straw extract, rich in potassium ions (K + ), in saline soil regions may help alleviate salt stress in wheat ( Triticum aestivum L.) seedlings by rendering higher K + levels and reducing magnesium ion (Mg 2+ ) exudation. This study examines the effects of maize straw extract on the growth and physiology of wheat seedlings (Qingmai 6) under salt stress, applying low (0.01 g mL -1 ) and high (0.05 g mL -1 ) doses of maize straw extract under salinity conditions of low (1.0%) and high (1.5%) salt (NaCl) solutions. We found that seedlings treated with high-concentration maize straw extract under low salt conditions exhibited significantly greater total root length than without straw extract. The straw extract also helped maintain a favourable ion balance and improved the K + /Na + and Mg 2+ /Na + ratios in the wheat seedlings. Furthermore, under high salt stress conditions, the application of straw extract resulted in a notably lower proline content, indicating a significant alleviating effect. These findings highlight the importance of conducting additional research to explore the effectiveness of straw extract as a potential solution for salt stress in wheat seedlings.

Stand spatial structure and sapling diversity are essential for maintaining ecosystem stability. However, the dynamic characteristics of stand spatial structure, its driving factors, and its influence on sapling diversity remain unclear. This study was conducted in a 15-ha forest dynamics plot located in the seasonal rainforest of the northern tropical karst region. We analyzed stand dynamics by characterizing multivariate distributions of stand spatial structure within random structural units, together with stand growth, mortality, and recruitment processes. To evaluate spatial autocorrelation and its drivers, we constructed spatial lag models and spatial error models. Generalized additive models were further applied to assess the effects of topography on stand spatial structure, as well as the influence of stand spatial structure on sapling diversity. The overall stand exhibited a uniform angle index of 0.5, a mingling index of 0.75, and a dominance index of 0.49, indicating random species distribution with moderate to high mingling. Null, univariate, bivariate, and trivariate distributions of stand spatial structure exhibited no significant change over the past decade. At the individual-tree level, however, survival, mortality, and recruitment processes induced notable shifts in spatial structure, which were more pronounced than the overall stand-level dynamics. Topography strongly influenced spatial structural metrics: elevation explained 31.35% and 64.99% of the variance in mingling and dominance, respectively, making it the most important factor for these indices, while slope accounted for 22.53% of the variance in the uniform angle index, serving as its primary driver. Among structural attributes, mingling had overwhelming explanatory power for sapling diversity, accounting for 99.68% of the variance in the Shannon-Wiener index, 99.70% in the Simpson index, 54.88% in Pielou's evenness index, and 99.69% in Margalef's diversity index, identifying it as the dominant factor regulating sapling diversity. These findings demonstrate that considering the dynamic changes of stand spatial structure at the individual-tree level, together with its effects on sapling diversity, is essential for understanding the structural and functional properties of tropical karst forests.

Objective To investigate the trajectory of depressive symptoms among adolescents exposed to the Wenchuan earthquake as well as predictors after the earthquake. Methods A cohort of students ( N  = 1,573) in the 7th and 10th grades from Dujiangyan city was followed-up periodically for 2 years. Participants were assessed at 6, 12, 18, and 24 months after the earthquake. Adolescents completed the Depression Self-rating Scale for Children, Adolescent Self-Rating Life Event Checklist, Resilience Scale, and earthquake exposure questionnaire. Results The prevalence rates of depressive symptoms at 6, 12, 18 and 24 months were 27.4, 41, 31.9, and 38.3 %, respectively. The number of adolescents who kept no depressive symptoms and persistent depressive symptoms at each stage was stable, accounted for almost 50 and 20 % of the total, respectively. Adolescents turning no depressive symptoms to depressive symptoms were mostly in 6–12 months, followed by 18–24 months. Additionally, girls (OR 1.24–1.37), post-disaster negative life events (OR for high vs. low = 5.54–15.06), resilience (OR for low vs. high = 9.40–13.69), and depressive symptoms at previous stage (OR 4.96–6.03) had a long-term effect on depressive symptoms, while the impact of earthquake exposure diminished with the passage of time and could not predict depressive symptoms after one and a half years after the earthquake. Conclusions Among adolescent survivors, the resistance and persistence of depressive symptoms were common. Moreover, depressive symptoms tended to outbreak close to the anniversary date, showing the anniversary reaction. Adolescent girls, adolescents who encountered high levels of life events, had low levels of resilience and a history of depressive symptoms should be provided with psychological intervention.

Background Highly carbonized energy use in ecologically fragile areas of Northwest China seriously endangers the health of residents and the ecological environment. However, poor energy affordability remains a major obstacle to the promotion of clean energy use in rural households in this region. Methods Based on survey data of 1118 households in ecologically fragile areas of Northwest China, this study constructed a household-level database of energy use, measured energy affordability in two dimensions: endogenous income (annual per capita household income) and external inputs (government energy subsidies). It uses logistic and threshold regression to empirically test the impact, threshold, and heterogeneity of energy affordability on the decision-making of rural households regarding clean energy use for cooking, heating, and heating water. Results (1) The energy use structures of rural households in different ecologically fragile areas differ because of different household characteristics. (2) Energy affordability affects cooking significantly more than it affects heating and subsidy growth is a stronger incentive than income growth. Moreover, for both cooking and heating, energy affordability has a greater impact on electricity use than on gas use. (3) The thresholds for energy transformation for heating are greater than those for cooking and heating water. When the subsidy increases by 2400 yuan/year, heating can catch up to other types of use, whereas, based on the current level of income growth, it requires more than 5 years. (4) This effect is higher in high-income, purely agricultural, highly educated, young, and middle-aged households. Conclusions Promoting the use of clean energy in rural households only by increasing income will be a slow process. Subsidies should be used to accelerate this process by improving the energy affordability of rural households and a compensation policy should be implemented considering the energy types and periods. Taking into account the differences in the basic characteristics of rural households in different ecologically fragile areas, clean energy policies should be adopted from various perspectives to better leverage the enhancement effect of energy affordability.