Objective To explore the recognition capabilities of electronic nose combined with machine learning in identifying the breath odor map of benign and malignant pulmonary nodules and Traditional Chinese Medicine (TCM) syndrome elements. Methods The study design was a single-center observational study. General data and four diagnostic information were collected from 108 patients with pulmonary nodules admitted to the Department of Cardiothoracic Surgery of Hospital of Chengdu University of TCM from April 2023 to March 2024. The patients' TCM disease location and nature distribution characteristics were analyzed using the syndrome differentiation method. The Cyranose 320 electronic nose was used to collect the odor profiles of oral exhalation, and five machine learning algorithms including random forest (RF), K-nearest neighbor (KNN), logistic regression (LR), support vector machine (SVM), and eXtreme gradient boosting (XGBoost) were employed to identify the exhaled breath profiles of benign and malignant pulmonary nodules and different TCM syndromes. Results (1) The common disease locations in pulmonary nodules were ranked in descending order as liver, lung, and kidney; the common disease natures were ranked in descending order as Yin deficiency, phlegm, dampness, Qi stagnation, and blood deficiency. (2) The electronic nose combined with the RF algorithm had the best efficacy in identifying the exhaled breath profiles of benign and malignant pulmonary nodules, with an AUC of 0.91, accuracy of 86.36%, specificity of 75.00%, and sensitivity of 92.85%. (3) The electronic nose combined with RF, LR, or XGBoost algorithms could effectively identify the different TCM disease locations and natures of pulmonary nodules, with classification accuracy, specificity, and sensitivity generally exceeding 80.00%.Conclusion Electronic nose combined with machine learning not only has the potential capabilities to differentiate the benign and malignant pulmonary nodules, but also provides new technologies and methods for the objective diagnosis of TCM syndromes in pulmonary nodules.

ObjectiveTo elucidate the critical role of rehabilitation medical records (including electronic records) in rehabilitation medicine's clinical practice and management, comprehensively analyzed the structure, core content and data standards of rehabilitation medical records, to develop a standardized medical record data architecture and core dataset suitable for rehabilitation medicine and to explore the application of rehabilitation data in performance evaluation and payment. MethodsBased on the regulatory documents Basic Specifications for Medical Record Writing and Basic Specifications for Electronic Medical Records (Trial) issued by National Health Commission of China, and referencing the World Health Organization (WHO) Family of International Classifications (WHO-FICs) classifications, International Classification of Diseases (ICD-10/ICD-11), International Classification of Functioning, Disability and Health (ICF), and International Classification of Health Interventions (ICHI Beta-3), this study constructed the data architecture, core content and data standards for rehabilitation medical records. Furthermore, it explored the application of rehabilitation record summary sheets (home page) data in rehabilitation medical statistics and payment methods, including Diagnosis-related Groups (DRG), Diagnosis-Intervention Packet (DIP) and Case Mix Index. ResultsThis study proposed a systematic standard framework for rehabilitation medical records, covering key components such as patient demographics, rehabilitation diagnosis, functional assessment, rehabilitation treatment prescriptions, progress evaluations and discharge summaries. The research analyzed the systematic application methods and data standards of ICD-10/ICD-11, ICF and ICHI Beta-3 in the fields of medical record terminology, coding and assessment. Constructing a standardized data structure and data standards for rehabilitation medical records can significantly improve the quality of data reporting based on the medical record summary sheet, thereby enhancing the quality control of rehabilitation services, effectively supporting the optimization of rehabilitation medical insurance payment mechanisms, and contributing to the establishment of rehabilitation medical performance evaluation and payment based on DRG and DIP. ConclusionStructured rehabilitation records and data standardization are crucial tools for quality control in rehabilitation. Systematically applying the three reference classifications of the WHO-FICs, and aligning with national medical record and electronic health record specifications, facilitate the development of a standardized rehabilitation record architecture and core dataset. Standardizing rehabilitation care pathways based on the ICF methodology, and developing ICF- and ICD-11-based rehabilitation assessment tools, auxiliary diagnostic and therapeutic systems, and supporting terminology and coding systems, can effectively enhance the quality of rehabilitation records and enable interoperability and sharing of rehabilitation data with other medical data, ultimately improving the quality and safety of rehabilitation services.

BackgroundDepression is a prevalent emotional problem in adolescents， and parental psychological control is an important predictor of adolescent depression. However， existing research on the acting mechanism between the two is not adequate. ObjectiveTo explore the pathway of negative perfectionism and academic stress between parental psychological control and depressive symptoms among secondary school students， so as to provide references for reducing the incidence risk of depression in such population. MethodsFrom February to April 2023， 1 100 students across 2 middle schools and 2 high schools in Zhongshan city were selected as subjects. The survey was conducted adopting Parental Psychological Control Questionnaire， Chinese Frost Multidimensional Perfectionism Scale （CFMPS）， sense of academic stress subscale in Mental Health Inventory of Middle School Student （MMHI-60） and Center for Epidemiological Studies-Depression Scale （CES-D）. Spearman correlation analysis was adopted to examine the correlation between scores of all scales above， and Amos 24.0 was used to test the mediating path of negative perfectionism and academic stress between parental psychological control and depressive symptoms among secondary school students. ResultsAmong the 1 009 valid questionnaires withdrew （91.73% of the total）， 261 students were detected to have depressive symptoms （25.87%）. As the results of Spearman correlation analysis showed， the scores of the Parental Psychological Control Questionnaire， score of negative perfectionism dimension in CFMPS， score of sense of academic stress subscale in MMHI-60 and CES-D score were positively correlated with each other （r=0.323~0.644， P<0.05 or 0.01）. The direct effect value of parental psychological control on depressive symptoms in secondary school students was 0.128 （95% CI： 0.061~0.201）， accounting for 31.37% of the total effect. Negative perfectionism and academic stress played independently as intermediatory roles between parental psychological control and depressive symptoms in secondary school students， and the indirect effect values were 0.099 （95% CI： 0.068~0.133） and 0.100 （95% CI： 0.060~0.143）， accounting for 24.27% and 24.51% of the total effect， respectively. Negative perfectionism and academic stress acted combinedly as the chain effect pathway between parental psychological control and depressve symptoms in secondary school students， with the indirect effect value of 0.081 （95% CI： 0.060~0.106） accounting for 19.85% of the total effect. ConclusionParental psychological control can affect the depressive symptoms among secondary school students directly， and through independent or chain paths of negative perfectionism and academic stress indirectly. ［Funded by Zhongshan Social Welfare Technology Research Project （number， 2022B1060）］

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 investigate the mediating role of vaccine literacy between vaccine knowledge and vaccine hesitancy and the moderating role of parental education level, so as to provide references for adjusting vaccination strategies. Methods: From May to December 2024, a stratified random sampling method was used to select 10 community hospitals in Guiyang and Zunyi City, Guizhou Province. A total of 1 401 parents of children aged 0-6 years were surveyed regarding their socio demographic characteristics, vaccine knowledge, vaccine literacy, and vaccine hesitancy levels. Data were analyzed using common method bias tests, Spearman correlation analysis, mediation and moderation effects tests. Results: The mean score for vaccine knowledge, vaccine literacy and vaccine hesitancy were (2.96±1.11, 14.25±2.64, 39.12±4.93) among the 1 401 participants. Mediating effect analysis showed that both parental vaccine knowledge ( β =1.28, 95% CI =1.08-1.49) and vaccine literacy ( β =0.75, 95% CI =0.66-0.84) positively predicted vaccine hesitancy (both P <0.01). Meanwhile, vaccine literacy accounted for 28.1% of the total effect of mediation between knowledge and vaccine hesitancy. In the moderated effects analysis, education level positively predicted vaccine literacy ( β =0.40, 95% CI =0.24-0.57), and education level moderated the pathway of vaccine knowledge on vaccine hesitancy ( β = 0.28 , 95% CI =0.05-0.52) (both P <0.01). Conclusions Vaccine literacy partially mediates the relationship between vaccine knowledge and vaccine hesitancy. Parental education level positively moderates the prediction of vaccine knowledge on vaccine hesitancy score.

Objective:To systematically evaluate the methodological quality and reporting quality of randomized controlled tri-als(RCT)on the treatment of BPH with traditional Chinese medicine(TCM),in order to provide some methodological reference for clinical practice and research.Methods:We searched CNKI,VIP,Wanfang Data and PubMed for RCTs on the treatment of BPH with TCM published in China from January 2013 to November 2023.Two researchers screened the literature separately,and evaluated the methodological and reporting quality of the RCTs based on the Cochrane bias risk assessment tool and CONSORT TCM compound.Results:Totally,88 RCTs were included in this study.In terms of methodological quality,according to the Cochrane bias risk assess-ment tool,27 biases in the process of randomization were identified as of low-risk and the other 61 of a certain risk.Among the alloca-tion-related biases deviating from the established interventions,76 were of low risk,10 of a certain risk and 2 of high risk;among the compliance-related biases deviating from the established interventions,76 were of low risk and 12 of a certain risk;among the biases due to missing outcome data,86 were of low risk and 2 of a certain risk,while all the biases due to outcome measurement were of low risk;and among the biases from selective reporting,65 were of low-risk,2 of a certain risk and 21 of high-risk.In terms of reporting quality,according to the evaluation criteria of consort TCM compound,appropriate key words were used in 1 RCT(0.01％),the ran-dom assignment sequence method described in 27(30.68％),the details of assignment limitation given in 5(5.68％),assignment concealment mentioned in 3(3.41％),the blind method and assignment concealment employed in 3(3.41％),fall-offs recorded in 10(11.36％),adverse events reported in 38(43.18％),and limitations of the trials analyzed in 18(20.45％).All the RCTs lacked complete intervention measures,subject flow chart,clinical trial registration and research schemes.Conclusion:At present,the methodological quality and reporting quality of RCTs on the treatment of BPH with TCM are generally low,with the main problems of incomplete experimental designs,lack of detailed description of randomized and blind methods,and insufficient TCM symptom eval-uation of outcome indicators.Researchers should be cautious in adopting and applying the results reported,follow the CONSORT state-ment in design,registration,implement and reporting of the scheme,fully consider the clinical characteristics of TCM in the treatment of BPH,and reasonably design and report the evaluation indicators.

Objective:To seek a correlation between short-chain fatty acids (SCFAs) and skill in the activities of daily living (ADL) after an ischemic stroke.Methods:Ninety ischemic stroke survivors were assessed using the Barthel Index (BI). Fecal samples were collected and analyzed for the concentration of acetic acid, propionic acid, butyric acid, isobutyric acid, valeric acid, and isovaleric acid using gas chromatography. Spearman correlation analysis was conducted to identify SCFAs that correlated with the total BI score. Linear regressions were evaluated to explore the correlation between the total BI score and SCFAs.Results:The concentrations of propionic and butyric acids in the feces were found to correlate significantly with the total BI scores. Data including propionic acid and butyric acid levels, age, gender, body mass index, disease duration, any history of hypertension or diabetes, and other SCFAs were included in the regression models. Propionic and butyric acid levels were found to be potentially useful predictors of total BI scores.Conclusions:The concentration of propionic and butyric acids in the feces after an ischemic stroke can predict the survivor′s total BI score. Those concentrations could therefore be useful for predicting ADL ability.

Objective To study the effects of Gouteng Jiangya Jieyu Prescription(Uncariae Ramulus cum Uncis,Gastrodiae Rhizoma,Pheretima,Puerariae Lobatae Radix,Salviae Miltiorrhizae Radix et Rhizoma,etc.)on learning and memory ability,hippocampal inflammatory response and autophagy-related protein expression in rats with hypertension complicated with depression(HD).Methods Thirty spontaneously hypertensive rats(SHR)were randomly divided into model group,positive control group(Levamlodipine Besylate 0.45 mg·kg-1+Fluoxetine Hydrochloride 1.80 mg·kg-1)and Gouteng Jiangya Jieyu Prescription high-,medium-and low-dose groups(25.38,12.69,6.34 g·kg-1).Another 6 SD rats were used as blank control group.The SHR rats were intervened by chronic mild unpredictable stress combined with solitary rearing to replicate the HD rat model.At the same time,intragastric administration was given once a day for 6 weeks.The systolic blood pressure and diastolic blood pressure of rat tail artery were measured by non-invasive sphygmomanometer.The learning and memory ability of rats was detected by Morris water maze test.The ultrastructure of hippocampal neurons was observed by transmission electron microscope.The contents of interleukin-1β(IL-1β),IL-18 and IL-10 in hippocampus were detected by ELISA.The expression of autophagy-related proteins Beclin1 and Bcl-2 in hippocampus was detected by immunohistochemistry.The expression of autophagy-related proteins LC3Ⅰ and LC3Ⅱ in hippocampus was detected by Western Blot.Results Compared with the blank control group,the SBP and DBP of the rats in the model group were significantly increased from week 1-6(P＜0.01).The escape latency was significantly prolonged on the third and fourth day(P＜0.01).The first time of crossing the platform was significantly prolonged(P＜0.01),the times of crossing the platform area was significantly reduced(P＜0.05),and the retention time of the platform area was significantly shortened(P＜0.01).The neuronal cell body was obviously swollen,the ridge was destroyed,the nucleus was shrunk,and a large number of autophagosomes appeared;the contents of IL-1β and IL-18 in hippocampus were significantly increased(P＜0.01).The ratio of LC3Ⅱ/LC3Ⅰ protein expression and the expression of Beclin1 protein in hippocampus were significantly up-regulated(P＜0.05,P＜0.01),and the expression of Bcl-2 protein was significantly down-regulated(P＜0.01).Compared with the model group,the SBP of rats in the low-dose group of Gouteng Jiangya Jieyu Prescription was significantly decreased at the weeks 1,3,4,5,6(P＜0.01),and the DBP was significantly decreased at weeks 1,3,4,5(P＜0.05,P＜0.01).The SBP of the rats in the medium-dose group of Gouteng Jiangya Jieyu Prescription was significantly decreased at weeks 1,5,6(P＜0.01),and the DBP was significantly decreased at week 4(P＜0.05).The SBP of rats in the high-dose group of Gouteng Jiangya Jieyu Prescription was significantly decreased in the first week(P＜0.01).The escape latency of rats in the high-and medium-dose groups of Gouteng Jiangya Jieyu Prescription was significantly shortened on the third day(P＜0.05),and the escape latency of rats in the high-and low-dose groups of Gouteng Jiangya Jieyu Prescription was significantly shortened on the fourth day(P＜0.05).The first crossing platform time of rats in the high-,medium-and low-dose groups of Gouteng Jiangya Jieyu Prescription was significantly shortened(P＜0.01).The times of rats crossing the platform area in the medium-and low-dose groups of Gouteng Jiangya Jieyu Prescription were significantly increased(P＜0.05),and the retention time in the platform area was significantly prolonged(P＜0.05).In the administration group,the degree of hippocampal neuron damage was reduced,the nuclear shrinkage was significantly improved,and the autophagosomes were reduced.The contents of pro-inflammatory factors IL-1β and IL-18 in the hippocampus of rats in the high-and medium-dose groups of Gouteng Jiangya Jieyu Prescription were significantly decreased(P＜0.05,P＜0.01).The content of anti-inflammatory factor IL-10 in the hippocampus of rats in the high-dose group of Gouteng Jiangya Jieyu Prescription was significantly increased(P＜0.01).The protein expression ratio of LC3Ⅱ/LC3Ⅰ in hippocampus of high-,medium-and low-dose groups of Gouteng Jiangya Jieyu Prescription was significantly down-regulated(P＜0.01),and the expression of Bcl-2 protein was significantly up-regulated(P＜0.01).The expression of Beclin1 protein in the hippocampus of the high-and medium-dose groups of Gouteng Jiangya Jieyu Prescription was significantly down-regulated(P＜0.05,P＜0.01).Conclusion Gouteng Jiangya Jieyu Prescription can reduce the tail arterial pressure of HD rats,improve their learning and memory ability,and alleviate hippocampal neuronal damage.The mechanism may be related to reducing the release of inflammatory factors,increasing the level of anti-inflammatory factors,and regulating the expression of hippocampal autophagy-related proteins LC3Ⅱ/LC3Ⅰ,Beclin1 and Bcl-2.

The detailed knowledge of the morphological structure, drainage pathways and patterns, the first tier lymph node of the cardiac lymphatic and its relationship with the circulatory system has not yet been completed. Although, the cardiac lymphatics had been described with renewed interest in past years, which was attributed to the transparent nature of lymphatic vessels that are difficult to be observed. In this study, cardiac lymphatics of the goat heart were perfused by a direct microinjecting technique with a radiopaque mixture. This demonstrated the subepicardial and subendocardial lymph capillary networks communicating with transmyocardial lymph vessels and then entering to subepicardial collecting lymph vessels that were directed toward the atrio-ventricular sulcus where they form a confluence from which the main cardiac lymph channels. We also found that: 1) the quantity and caliber of collecting lymph vessels varied in each goat heart; 2) drainage patterns of lymph vessels in the goat heart were different in individuals; 3) the first tier lymph node that each major lymph vessel drained to was different; and 4) multiple lymphatic-venous anastomosis sites have been confirmed to exist in the subepicardium of the left and right ventricles of each goat heart, which may be the morphological structure to accelerate the return of intercellular fluid to the venous system during excessive exercise of the heart. Therefore, the information may provide reference for further study in physiological and pathological conditions of the human heart.

The detailed knowledge of the morphological structure, drainage pathways and patterns, the first tier lymph node of the cardiac lymphatic and its relationship with the circulatory system has not yet been completed. Although, the cardiac lymphatics had been described with renewed interest in past years, which was attributed to the transparent nature of lymphatic vessels that are difficult to be observed. In this study, cardiac lymphatics of the goat heart were perfused by a direct microinjecting technique with a radiopaque mixture. This demonstrated the subepicardial and subendocardial lymph capillary networks communicating with transmyocardial lymph vessels and then entering to subepicardial collecting lymph vessels that were directed toward the atrio-ventricular sulcus where they form a confluence from which the main cardiac lymph channels. We also found that: 1) the quantity and caliber of collecting lymph vessels varied in each goat heart; 2) drainage patterns of lymph vessels in the goat heart were different in individuals; 3) the first tier lymph node that each major lymph vessel drained to was different; and 4) multiple lymphatic-venous anastomosis sites have been confirmed to exist in the subepicardium of the left and right ventricles of each goat heart, which may be the morphological structure to accelerate the return of intercellular fluid to the venous system during excessive exercise of the heart. Therefore, the information may provide reference for further study in physiological and pathological conditions of the human heart.