BackgroundPrevious studies have identified a close relationship among psychological neglect and abuse， negative affect， different stages of adolescence， and suicidal ideation. However， the mechanisms underlying the impact of psychological abuse and neglect on suicidal ideation among left-behind adolescents remain unclear， and this field of research is still in its relative infancy. ObjectiveTo explore the relationship between psychological neglect/abuse and suicidal ideation among left-behind adolescents， as well as the mediating role of negative affect and the moderating effect of different stages of adolescence， so as to provide insights for preventing and intervening suicidal ideation in this population. MethodsFrom November 2021 to May 2022， a cluster random sampling technique was utilized to select 2 309 left-behind adolescents in western China. Assessments were conducted using the Child Psychological Abuse and Neglect Scale （CPANS）， the Positive and Negative Suicide Ideation （PANSI） and the Positive and Negative Affect Schedule for Children （PANAS-C）. Spearman correlation coefficients were calculated across all samples， and Process 4.1 was employed to test the mediating role of negative affect and the moderating role of different stages of adolescence in the pathway linking psychological abuse/neglect to suicidal ideation. ResultsA total of 2 119 left-behind adolescents （mean age： 14.94±1.20 years） completed the study， with males comprising 51.34% （1 088/2 119） and females 48.66% （1 031/2 119）.Among left-behind adolescents， scores on CPANS psychological neglect subscale showed positive correlations with both psychological abuse subscale scores and PANAS-C negative affect subscale scores （r=0.446， 0.496， P<0.01）. Additionally， CPANS psychological neglect and psychological abuse subscale scores were also positively correlated with PANSI scores （r=0.487， 0.508， P<0.01）. Furthermore， PANAS-C negative affect subscale scores demonstrated a positive correlation with PANSI scores （r=0.499， P<0.01）. Negative affect partially mediated the relationship between psychological abuse/psychological neglect and suicidal ideation， with effect sizes of 0.166 （95% CI： 0.141~0.191） and 0.131 （95% CI： 0.112~0.152）. Different stages of adolescence moderated the latter part （negative emotion → suicidal ideation） of the indirect mediation path from psychological neglect to suicidal ideation through negative affect （β=-0.066， P<0.01）. ConclusionBoth psychological neglect and psychological abuse may influence suicidal ideation among left-behind adolescents via negative affect. Moreover， different stages of adolescence may moderate the indirect path from psychological neglect to suicide ideation through negative affect.

Bronchopulmonary dysplasia（BPD）is a chronic respiratory disease characterized by developmental disorders and abnormal repair of lung tissue in premature infants.Its clinical manifestations are characterized by persistent respiratory distress syndrome，which can cause progressive lung function damage and significantly affect the quality of life and long-term prognosis of the affected children.Vitamin D has been proven to have multiple lung protective effects in recent years.It not only participates in regulating normal lung development，but also effectively inhibits inflammatory reactions，promotes the biosynthesis of pulmonary surfactant，regulates cell apoptosis，and maintains lung tissue function and structural integrity.The above physiological functions are significantly correlated with the pathophysiology of BPD，providing a new theoretical perspective for further elucidating the pathogenesis of BPD.Based on existing evidence，vitamin D may provide new treatment and research directions for BPD.

Objective:To explore the key components and mechanism of Qufeng Ningfei Powder in treating asthma through qualitative analysis of its blood components, combined with network pharmacology and molecular docking techniques.Methods:The blood components of Qufeng Ningfei Powder were qualitatively analyzed using UPLC-QE-Orbitrap-MS technology. R language was employed to analyze chip data from the GEO database, obtaining a list of differentially expressed genes. SwissTargetPrediction was utilized to predict the targets of drug components. Asthma-related targets were searched through databases such as OMIM, GeneCards, and TTD. The intersection of drug and disease targets was identified using Venn online analysis tool, constructing a "drug-component-target-disease" network to screen potential core components. A protein-protein interaction network (PPI) of core targets was constructed using STRING platform and Cytoscape software. GO function enrichment and KEGG pathway analysis were conducted using DAVID database to validate potential mechanism. Molecular docking was performed to verify the interaction between key components and core targets.Results:A total of 64 components were identified, from which 53 active components were screened, corresponding to 609 targets. Further searching disease databases revealed 96 target genes related to asthma, with an intersection of 6 genes between drug and asthma differential genes. Core target gene IL6 and its corresponding core compound were determined through network topology analysis. Molecular docking confirmed the binding of the main active components of Qufeng Ningfei Powder with the core target protein IL6.Conclusion:The blood components of Qufeng Ningfei Powder may regulate IL-17 through IL6, counteract airway remodeling, oxidative stress, and airway hyperresponsiveness, and thus treat asthma.

Objective To investigate the influencing factors for tendency towards depression in college students having music listening habits with music APP,and develop a prediction model and further optimize it.Methods A total of 1 157 college students were subjected with convenient sampling and surveyed with questionaires between April and May 2023.Univariate analysis and logistic regression analysis were employed to identify the influencing factors.Then a prediction model was constructed based on these factors.SMOTEENN over-sampling algorithm was utilized to enhance the dataset and construct the prediction model.Results Logistic regression analysis revealed that female(OR=1.730,95％CI:1.257～2.396),senior grade(OR=2.649,95％CI:1.198～7.506),postgraduate grade(OR=2.041,95％CI:1.231～3.885),major in Science(OR=1.573,95％CI:1.052～2.350),listening for a duration of 0.5～2 h(OR=1.661,95％CI:1.011～2.695),music style of melancholy(OR=2.668,95％CI:1.701～4.226)and of nostalgia(OR=1.751,95％CI:1.086～2.837),and frequency of comments on 0～5％of songs(OR=2.938,95％CI:1.018～8.417)were independent risk factors for depressive tendency.Time since listening to music for 1～3 years(OR=0.547,95％CI:0.347～0.872),listening to music from 14:00 to 18:00(OR=0.375,95％CI:0.167～0.845)and 18:00 to 21:00(OR=0.313,95％CI:0.148～0.671),and preference for Chinese style songs(OR=0.711,95％CI:0.541～0.941)were independent protective factors.The logistic early warning model based on SMOTEENN algorithm demonstrated optimal predictive performance with an AUC value of 0.923.Conclusion Our constructed logistic regression model has identified 9 independent influencing factors associated with depression tendency among college students.The early warning model based on SMOTEENN algorithm can predict the depression tendency more accurately for college students.

Objective To develop multimodal joint cognitive representations for the research of visual cognitive activities of the brain,enhance the classification performance of visual information cognitive representations,predict brain electro-encephalogram(EEG)responses from visual image features,and decode visual images from EEG signals.Methods A architecture combining a multimodal variational autoencoder network with the Mixture of Product Experts(MoPoE)approach and with a style generation adversarial network based on adaptive discriminator augmentation(Style-GAN2-ADA)was used for facilitating the learning of cognitive representations and the encoding and decoding of EEG signals.This framework not only catered to classification tasks but also enabled cross-modal generation of images and EEG data.Results The present study integrated features from different modalities,enhancing the classification accuracy of cognitive representations of visual information.By aligning the feature spaces of diverse modalities into a cohesive latent space,cross-modal generation tasks were made possible.The cross-modal generation results of EEG and images,derived from this unified latent space,outperformed the one-way mapping methods that involved transition from one modality to another employed in previous research.Conclusion This study effectively integrates and aligns information from various modalities,enabling the classification performance of joint cognitive representations beyond any single modality.Moreover,the study demonstrates superior outcomes in cross-modal generation tasks compared to modality-specific unidirectional mappings,which is expected to offer a new line of thought for the effective unified encoding and decoding modeling of visual cognitive information in the brain.

Objective To identify the eye movement characteristics that can distinguish reading interest and comprehensibilityin order to provide reference for prediction of reading interest and comprehensibility based on eye movement.Methods Tobii Glasses 3 was used to collect eye tracking data from 11 participants who read 12 texts on different topics.After reading all the texts,the participants marked each sentence with theirlevels of interest and comprehensibility.Then,Python R and excel software were used to preprocess and analyze the data,and the differences in eye movementamid the four combinations of reading interest(interested or not)and comprehensibility(levels of difficulty)were studiedat overall and individual levels.Results At the overall level,there were statistically significant differences in eye movement between the easy comprehension group and the difficult comprehensiongroup where interest was concerned,but there was little difference between the interested group and the disinterested groupwhen it came to comprehensibility.There were differences in eye movement behavior between individuals,and some of the statistically significant differences in eye movement were consistent across most of the participants.In addition,some of the eye movement characteristicswere oppositeacross different individuals or could not distinguish between the interested and disinterested at the overall level,but could be distinguished within individuals.Conclusion At the overall level,it is relatively easy to determine comprehensibility through eye movement,but it is more difficult to distinguish whether the participant is interested in the sentence or not,especially when the text is easily comprehensible.At the individual level,eye movement behavior varies widely between individuals,and individuals manifest different characteristics in distinguishing reading interest and comprehensibility.

Objective:To investigate the common disease spectrum of grass-root troops, to provide a basis for meeting the needs for military medical support among officers and soldiers, and to improve targeted training of military general practitioners in grass-root troops.Methods:With reference to International Classification of Diseases (9th edition), a questionnaire survey was conducted to investigate 146 types of diseases among the military doctors in grass-root troops. SPSS 23.0 was used to determine the score of the common degree of each disease, and the mean score of each disease was ranked. At the same time, the Kendell consistency test was used to compare the scores of doctors between different altitudes and troops.Results:Most grass-root military doctors were male graduates aged 20-39 years, among whom 109 (51.90%) did not receive continuing education, and there were 140 doctors (66.67%) belonging to the health company, 11 (5.24%) belonging to the health platoon, 35 (16.67%) belonging to the health clinic, and 24 (11.42%) belonging to the health team. As for the location of the troops, there were 42 doctors (20.00%) in the temperate zone, 56 (26.67%) in the subtropical zone, 57 (27.14%) in the alpine region, 37 (17.62%) in the plains, and 18 (8.57%) on the islands. There were 173 patients with an age of 20-29 years, accounting for 82.38%. The Kendell consistency test showed Kendell's W=0.968 ( χ 2=711.51, P<0.001), suggesting a consistent evaluation of 146 diseases by grass-roots doctors from different altitudes. Conclusion:With reference to the investigation of disease spectrum, it is necessary to formulate characteristic training objectives and contents for the training of military general practitioners, explore the training models and methods for military general practitioners in grass-root troops, promote the construction of military general practitioners during the new military reform, and improve the post competency of military doctors.

Objective:To systematically review the experience of nurses′ in providing home-based hospice care, so as to provide a basis for improving the quality of home-based hospice care and the nursing service system.Methods:Qualitative researches on nurses′ experience of providing home-based hospice care were retrieved from the Cochrane Library, PubMed,Web of Science, EBSCO, Medline, China National Knowledge Internet, China Biomedical Literature Database, Wanfang Database, VIP Database from inception to April 1, 2022. Adopting Joanna Briggs Institute Critical Appraisal Tool (2016) to evaluate the quality of included studies, the Meta-synthesis was used to explain and integrate the research results.Results:A total of 9 articles were included. This study extracted 23 clear results, 8 new categories, and 3 integrated results, including the significance of nurses′ acceptance of home-based hospice care; positive and negative emotions coexist when nurses provide home-based hospice care; challenges in implementing home-based hospice care.Conclusions:The development of home-based hospice care service is helpful to provide continuous care for the terminally ill patients and improve their quality of life, but at the same time, the ability of home-based hospice care of nurses should be further improved and the related policy guarantee should be perfected to promote the steady development of home-based hospice care in China.

Objective: To investigate the relationship between the use of earphone and hearing impairment and its influencing factors among students aged 14-28, so as to provide a reference for appropriate earphone usage and hearing impairment prevention. Methods: A cross sectional survey was conducted through the questionnaire star platform, and 983 students aged 14 to 28 were recruited across China by snowball sampling during April 3 to May 1, 2022. The χ 2 test was used to identify indicators affecting hearing, the Logistic regression model was used to further selection. Results: There were 366 students with hearing impairment, accounting for 37.23%. Univariate analysis showed significant differences in hearing impairment by gender, earphone usage duration and volume, wearing during sleep, and replacement frequency ( χ 2=6.03, 6.86, 14.87, 12.22, 11.15, P <0.05). The Logistic regression model analysis showed that girls ( OR=1.43, 95%CI =1.10-1.88), maximum earphone volume ( OR=3.08, 95%CI = 1.56- 6.08), earphone usage for >1.5-3 h each time ( OR=1.44, 95%CI =1.04-1.99), sleep with headphone ( OR= 1.53 , 95%CI = 1.11- 2.11) were positively associated with hearing impairment ( P <0.05), earphone replacement every 4-<6 months ( OR= 0.38, 95%CI =0.17-0.86) and earphone replacement every six months or longer ( OR=0.39, 95%CI =0.18-0.85) were negatively associated with hearing impairment ( P < 0.05 ). Conclusion Students aged 14 to 28 earphone usage shows adverse impact on hearing. When using earphone, it is recommended to limit time spent on earphone usage, low the volume of earphone, avoid sleeping with earphone and replace earphone frequently.