Stroke is the leading cause of death and disability among adults in China， and its common complications include digestive system abnormalities， cognitive impairment， depression， stroke-associated pneumonia， and hemiplegia. The combination of traditional Chinese and Western medicine has great potential in treating post-stroke complications. Xinglou Chengqitang （XLCQT） is a representative prescription of alleviating the disease in the upper part by treating the lower part. It has definite therapeutic effect and high safety. Clinically， XLCQT is often used to treat stroke and its complications. However， the quantity and quality of clinical trials of XLCQT in treating post-stroke complications need to be improved. Additionally， since the basic research is weak， the material basis and multi-target mechanism for the efficacy of this prescription are unknown. This article reviews XLCQT in terms of the pharmacodynamic basis， medicinal properties， safety evaluation， and progress in clinical research and mechanisms in treating post-stroke complications. This article summarizes 22 key active ingredients of XLCQT in treating acute stroke complicated with syndrome of phlegm heat and fu-organ excess. Among these key active ingredients， resveratrol， kaempferol， luteolin， chrysoeriol， apigenin， （+）-catechin， and adenosine have good pharmacokinetic properties and high bioavailability. The mechanisms of XLCQT in treating post-stroke complications are complex， including inflammatory response， brain-gut axis， hypothalamic-pituitary-adrenal （HPA） axis， intestinal flora， neurotrophic factors， autophagy， oxidative stress， and free radical damage. This review helps to deeply understand the pharmacodynamic basis and mechanisms of XLCQT in treating post-stroke complications and provides a theoretical basis for the clinical application of XLCQT against post-stroke complications and the development of drugs.

[Objective] To investigate the antigen and gene frequency distribution of the MNS blood group system in the Han population of voluntary blood donors in Suzhou, and to explore the polymorphism of rare MNS blood group genes, in order to improve the construction of the local rare blood group database. [Methods] A total of 8 034 whole blood samples were randomly collected from Han blood donors at our station from October 2023 to June 2024. The MNS blood group phenotypes were identified using serological methods. Gene frequencies were analyzed and compared with those of ethnic populations in other regions. Rare MNS phenotype samples were subjected to gene sequencing. [Results] The distribution of MNS blood group system phenotypes within the population was as follows: the MM, NN, and MN phenotypes accounted for 23.00%, 27.12%, and 49.88% respectively; the SS, ss, and Ss phenotypes accounted for 0.30%, 90.99%, and 8.70% respectively. The gene frequencies of M, N, S, and s were 0.4794, 0.5206, 0.0465, and 0.9534 respectively. Chi-squared tests confirmed adherence to Hardy-Weinberg equilibrium with P-values of 0.997 and 0.349, showing statistical significance compared to some other regional ethnic populations (P<0.05). Additionally, one rare serological phenotype, S-s-, with a frequency of 0.01%, was identified. [Conclusion] The MNS blood group system in the Han population of voluntary blood donors in Suzhou exhibits polymorphism and regional distribution characteristics. Gene frequencies differ from those observed in other regions of China. It is essential to enhance the establishment of a rare blood type database in Suzhou to provide data support for precise clinical transfusion.

AIM: To investigate the research status and hotspots in the field of ocular trauma over the past two decades using bibliometric software CiteSpace and VOSviewer.METHODS: A bibliometric study. Relevant literature on ocular trauma published in the past 20 a was retrieved from the CNKI database and Web of Science Core Collection in June 2025. EndNote X9 was used for literature management and verification. Microsoft Office Excel 2019 was employed for data management and statistics, with graphical representations created for frequency data. CiteSpace and VOSviewer were utilized to construct and analyze visual maps of authors, institutions, countries/regions, journals, and keywords.RESULTS: A total of 3 437 valid articles were included(911 in Chinese, 2 526 in English). English publications grew at an average annual rate of 12.7%(peak: 289 articles in 2021), while Chinese articles decreased from 31.2% in 2005(peak: 149 articles)to 6.3% in 2024. Chinese scholars showed an early surge in output but a subsequent declining trend, necessitating enhanced sustained research investment and translational outcomes. The United States(682 articles), China(272 articles), and India(206 articles)formed a core collaborative triangle, with a transnational collaboration rate of 68.2%. Six author clusters(e.g., Yan Hua/Zhang Maonian, et al.)demonstrated strong intra-group collaboration but minimal inter-group cooperation. Analysis of high-frequency keywords and burst terms revealed six global research hotspots: 1)ocular trauma score and minimally invasive vitrectomy; 2)optical coherence tomography(OCT)/ultrasound biomicroscopy(UBM)-guided diagnosis and management of intraocular foreign bodies; 3)amniotic membrane transplantation for chemical injury repair; 4)multimodal assessment of corneal perforation injuries; 5)inflammatory indicators for diagnosing endophthalmitis as a traumatic complication; 6)family-based interventions for preventing and controlling pediatric ocular trauma. Trends indicate a shift in research focus from emergency care toward artificial substitutes and full-cycle nursing rehabilitation.CONCLUSION: Differences in research outputs between China and other countries reflect imbalances in prevention policies and medical resource allocation. China should strengthen sustained investment and overcome collaboration barriers to jointly advance ocular trauma research toward full-cycle precision management.

This paper presents an automatic acquisition and analytic procedure of acupuncture manipulation based on optical navigation, aiming at solving the shortcomings of existing acquisition methods of acupuncture manipulation. An acquisition holder installed at the handle tail of filiform needle was designed to display the movement trajectory of the needle during acupuncture delivery by collecting the movement trajectory of holder. The 3-month old male Bama miniature pig was selected as the experimental subject, and 6 points, "Bojian" "Qiangfeng" "Housanli" "Xiaokua" "Huiyang" (BL35) and "Baihui" (GV20), were selected during acupuncture manipulation. The optical navigation system was used to collect the real-time data, and these data were per-processed and analyzed using mean filtering and Fourier transform. The acupuncture procedure was divided into 3 stages, inserting, lifting-thrusting, and twisting. The results showed that the accuracy was 96.3% at lifting-thrusting stage, and that was 100.0% at twisting stage. The decomposition effect of the entire procedure was satisfactory. This study provides a new approach to the quantitative analysis of acupuncture manipulation. In the future, it needs to further optimize the algorithm and expand the sample size so as to improve the accuracy of this analytic technique.
Acupuncture Therapy/methods* ; Male ; Animals ; Swine ; Acupuncture Points ; Humans ; Swine, Miniature ; Needles

Zebrafish larvae are useful for identifying chemicals against lateral line (LL) hair cell (HC) damage and this type of chemical screen mainly focuses on searching for protectors against cell death. To expand the candidate pool of HC protectors, a self-built acoustic escape response (AER)-detecting system was developed to apply both low-frequency near-field sound transmission and AER image acquisition/processing modules. The device quickly confirmed the changed LL HC functions caused by most known ototoxins, protectors, and neural transmission modifiers, or knockdown of LL HC-expressing genes. With ten devices wired in tandem, five 'hit' chemicals were identified from 124 cyclin-dependent kinase inhibitors to partially restore cisplatin-damaged AER in less than a day. AS2863619, ribociclib, and SU9516 among the hits, protected the HCs in the mouse cochlea. Therefore, using free-swimming larval zebrafish, the self-made AER-detecting device can efficiently identify compounds that are protective against HC damage, including cell death and loss-of-function.
Animals ; Zebrafish ; Hair Cells, Auditory/physiology* ; Lateral Line System/cytology* ; Escape Reaction/physiology* ; Larva ; Mice ; Cisplatin/toxicity* ; Drug Evaluation, Preclinical/methods*

Objective: To investigate the association between emotional intelligence and sleep problems at the symptom level among junior and senior high school students, so as to provide new insights for interventions targeting junior and senior high school students sleep disorders. Methods: From November 2023 to May 2024, a stratified cluster random sampling method was employed to select 3 531 first year junior high school and first year senior high school students from 6 schools in Guangyuan City and Liangshan Yi Autonomous Prefecture in Sichuan Province, as well as Lhasa City in Tibet Autonomous Region. The Insomnia Severity Index Scale and the Wong and Law Emotional Intelligence Scale(WLEIS) were used to assess sleep problems and emotional intelligence. A network analysis was performed to explore the relationship between emotional intelligence and sleep disorders, and a gender based network comparison analysis was conducted. Results: The reported rate of sleep problems among junior and senior high school students was 47.3%, with severe sleep problems of 2.2%. Difficulty maintaining sleep, worry about sleep, and emotional application were the core symptoms in the network (node strength values: 1.11, 0.98, and 0.82, respectively). Dissatisfaction with sleep and emotional application served as bridge symptoms connecting emotional intelligence and sleep problems (bridge strength values: 1.77 and 1.59, respectively). The edge weights of the emotional intelligence and sleep problems network differed significantly between genders (maximum difference in edge weight values was 0.13， P <0.05). Conclusions Emotional application ability and dissatisfaction with sleep are the key nodes in the network connecting emotional intelligence and sleep problems. Targeted efforts to enhance emotional application ability may effectively reduce the risk of sleep problems among junior and senior high school students.

Objective To investigate the intervention efficacy of best possible self (BPS)on the mental health of new recruits (including state optimism and pessimism,perceived stress and subjective well-being).Methods A non-randomized controlled trial was conducted on 212 new recruits subjected with cluster sampling from an army unit in a training base for new recruits in September 2023.Based on their organizational structure,they were divided into a study group (n=100,receiving BPS intervention 15 min/d,for 2 consecutive weeks)and a control group[n=112,typical day (TD)intervention,15 min/d,same period].Future Expectancy Scale (FEX),Chinese Perceived Stress Scale (CPSS),Positive and Negative Affect Scale (PANAS ) and Satisfaction with Life Scale (SWLS ) were used to measure the 2 groups of participants at T0 (baseline),T1 (end of the first week of intervention),T2 (end of the second week of intervention)and T3 (1 week after the end of intervention)in order to evaluate the intervention efficacy on above mentioned mental health indicators.Results There were no significant differences in demographic and baseline psychological variables listed above between the 2 groups.However,as the training progressed,obvious differences were observed in the training effects on state pessimism,perceived stress and subjective well-being (including affective and cognitive well-being)between them.When compared with the baseline data (T0),the study group had notably reduced state pessimism (P<0.01)and elevated affective (P<0.001) and cognitive well-being (P<0.001)during T1 and T3,and decreased perceived stress at T1 (P<0.05)and T3 (P<0.001).However,no such changes of above indicators were observed in the control group before and after training.Conclusion A 2-week BPS intervention can effectively reduce state pessimism and perceived stress,promote subjective well-being,and improve mental health in new recruits during new recruit training.

Objective To explore the effects of expressive writing on repetitive negative thinking(RNT)and anxiety and depression in new recruits,and to compare the effectiveness of different writing intervals on the training effects.Methods A total of 262 new recruits of a troop were sampled using cluster sampling and then divided into 3 groups based on their own organizational company.There were 2 groups receiving RNT-focused expressive writing,including 6-week group(n=90),once a week for 6 consecutive weeks,and 6-day group(n=83)once a day for 6 consecutive days,as well as a control group without any intervention(control group,n=89).Perseverative Thinking Questionnaire(PTQ),Self-Rating Depression Scale(SDS),and Self-Rating Anxiety Scale(SAS)were used to survey all participants at following 3 time points:before intervention(T0),at the end of intervention(T1)and 1 month after intervention(T2).Results There were no significant differences in demographic information and psychological indicators among the 3 groups before the intervention.After intervention,the scores of RNT,depression,and anxiety were significantly lower in the 6-week group at T1 and T2 than the baseline levels(T0)(P＜0.01).The 6-day group showed a tendency of increasing and then decreasing in the 3 scores,the scores of RNT and depression were significantly higher at T1 than T0(P＜0.01),then all 3 scores fell back at T2,and the scores of depression and anxiety at T2 were significantly lower than at T0(P＜0.01).No significant changes were observed in these psychological indicators in the control group before and after training.Conclusion RNT-focused expressive writing for 6 weeks can reduce RNT and relieve emotions such as depression and anxiety in new recruits,but similar effects are not observed in the 6-day consecutive writing program.So,we recommend a 6-week writing intervention to promote mental health in new recruits.

Objective Explore a non-contact physiological and psychological detection model based on facial video in simulations of weightlessness effects,research new methods for non-contact heart rate and negative mood state detection in long-term simulations of weightlessness effect analysis.Methods Construct a non-contact physiological and psychological data collection system for fusion analysis of visible light and thermal infrared videos.Collect physiological and psychological data of volunteers in the"Earth Star-Ⅱ"90-day head-down bed rest experiment.A non-contact heart rate detection model based on GCN facial multi-region feature fusion and a non-contact negative mood state detection model considering data reliability were constructed,and the effectiveness of the models were validated with finger clip heart rate and POMS-SF scale as labels.Results The experimental results show that the average difference in the Bland-Altman plot of the non-contact heart rate detection model is-1.26 bpm,and 96.3%of value error detection data falls within the 95%confidence interval,indicating a high consistency between the model detected heart rate and the finger clip heart rate.The non-contact negative mood state detection model achieves an accuracy of>0.85 for detecting tension,depression,anger,and fatigue.Features such as heart rate,AU06,eye gaze,and head pose were observed to be important to mood state detection.Conclusion Non-contact physiological and psychological detection methods not only can be utilized for long-term physiological analysis in simulations of weightlessness effects,but also provide a novel technical approach for on-orbit astronauts health assurance during long-term space flight in the future.

Objective:To establish an ultrasound radiomics model by integrating clinical, pathological, and conventional ultrasound features with radiomics characteristics, and to explore its clinical value in predicting endocrine resistance in hormone receptor(HR)-positive breast cancer.Methods:A retrospective analysis was performed on 478 patients with HR-positive breast cancer from January 2017 to December 2021 in the Second Affiliated Hospital of Harbin Medical University, of which 430 were resistant and 48 were sensitive. The clinical, pathological and immunohistochemical data and ultrasound images were collected.Firstly, the propensity score was used to process and match the data. Secondly, Logistic regression was used to screen clinical, pathological, and conventional ultrasound features associated with endocrine resistance. Then, PyRadiomics was used to extract the radiomic features of grayscale ultrasound images, and a series of methods such as Lasso regression were used to screen the radiomic features related to endocrine resistance. Seven machine learning methods such as random forest were used to build a radiomics model. Finally, clinical, pathological and ultrasound features were added to establish a clinical pathological model, a clinical pathological ultrasound model, a clinical pathological radiomics model and a combined model of the four features, and the model effectiveness was evaluated.Results:①Propensity score matching: 96 patients were matched, including 48 patients in the drug-resistant group and 48 patients in the sensitive group. ②Screening clinical pathological conventional ultrasound features related to endocrine resistance: lymph node metastasis, tumor diameter, posterior echo attenuation, and growth orientation were independent predictors of endocrine resistance (all P<0.05). ③Screening radiomics features related to endocrine resistance: 18 features such as Dependence Entropy. ④Establishing radiomics model: the machine learning model of random forest method (AUC=0.80) performed best. ⑤Radiomics model integrating clinical, pathological and conventional ultrasound features: the AUC of the clinical pathological model was 0.70, the AUC of the clinical pathological ultrasound model was 0.78, the AUC of the clinical pathological radiomics model was 0.82, and the AUC of the combined model was 0.86. Conclusions:The radiomics model established by the random forest method performs best in predicting endocrine resistance in HR-positive breast cancer. The model that integrates multiple features performs best in assessing endocrine resistance.which is expected to provide an objective basis for clinicians to predict endocrine resistance in HR-positive breast cancer.