Objective:To explore the potential profile characteristics and influencing factors of rehabilitation motivation in elderly patients with first stroke, so as to provide reference for promoting precise rehabilitation mode.Methods:A convenience sampling method was employed to conduct a cross-sectional survey of elderly patients with first stroke admitted to the Huanhu Hospital Affiliated to Tianjin Medical University from October 2024 to March 2025. The survey utilized a general information questionnaire, the Motivation in Stroke Patients for Rehabilitation Scale, the Perceived Social Support Scale (PSSS), the Exercise Adherence Questionnaire (EAQ), and the Stroke Stigma Scale (SSS). Potential categories of rehabilitation motivation among elderly patients with first stroke were identified using latent profile analysis, and the influencing factors of these potential categories were explored using the ordered multinomial Logistic regression.Results:A total of 290 survey questionnaires were distributed, and 281 valid questionnaires were collected, with an effective response rate of 96.9%(281/290). Among 281 elderly patients with first stroke, there were 152 males and 129 females, with an age of (68.68 ± 6.89) years. The score of the Motivation in Stroke Patients for Rehabilitation Scale was 56.00 (36.00, 68.00) points. Rehabilitation motivation among elderly patients with first stroke could be categorized into three groups: low motivation-lack of family support and unclear goals group (44.1%, 124/281), moderate motivation-social reintegration driven but insufficient behavior group (41.3%, 116/281), and high motivation autonomous planning adaptation and value internalization group (14.6%, 41/281). The ordered multinomial Logistic regression analysis showed that compared to patients aged ≥80 years, patients aged 60-69 years were less likely to belong to the high motivation autonomous planning adaptation and value internalization group ( OR=0.231, P<0.05). Compared to patients with a per capita monthly income of ≥5 001 yuan, patients with a per capita monthly income of 3 001-5 000 yuan were more likely to belong to the high motivation autonomous planning adaptation and value internalization group ( OR=2.340, P<0.05). Compared to heavily dependent patients, patients who were completely independent ( OR=0.160, P<0.05), mildly dependent ( OR=0.155, P<0.01), and moderately dependent ( OR=0.211, P<0.05) were less likely to belong to the high motivation autonomous planning adaptation and value internalization group. The higher the EAQ score, the more likely patients were to belong to the high motivation autonomous planning adaptation and value internalization group ( OR=1.139, P<0.01). The higher the PSSS score, the more likely patients were to belong to the high motivation autonomous planning adaptation and value internalization group ( OR=1.108, P<0.01). The higher the SSS score, the less likely patients were to belong to the high motivation autonomous planning adaptation and value internalization group ( OR=0.787, P<0.01). Conclusions:Healthcare professionals can develop targeted intervention strategies based on the characteristics and influencing factors of patients' different rehabilitation motivations, thereby enhancing their rehabilitation motivation and promoting patient recovery.

Objective:To explore the potential categories of internal ability of elderly patients with ischemic stroke, identify the influencing factors and propose corresponding nursing interventions.Methods:This was a cross-sectional study. From January 2025 to May 2025, the elderly patients with ischemic stroke in Tianjin Huanhu Hospital were selected by convenient sampling method. The general information questionnaire, the Internal Capacity Assessment Scale for the Older People, the Health Literacy Scale for stroke patients and the Perceived Social Support Scale were used to investigate. To determine latent categories of patients' intrinsic capacity, potential profile analysis was employed. Subsequently, multivariable Logistic regression examined factors associated with these categories.Results:A total of 260 survey questionnaires were distributed, and 256 valid questionnaires were finally collected, with an effective response rate of 98.46% (256/260). Among of them, there were 166 males and 90 females, aged 68.00 (63.00, 74.00) years.The intrinsic ability of elderly patients with ischemic stroke could be divided into three potential categories: low sensation-low exercise group (27.0%, 69/256), relatively stable intrinsic ability group (37.5%, 96/256) and low cognition-low psychology group (35.5%, 91/256). Multivariable Logistic regression showed that advanced age (compared to the low sensation-low exercise group, OR=0.902; compared to the relatively stable intrinsic ability group, OR=0.813), smoking (compared to the low sensation-low exercise group, OR=0.459; compared to the relatively stable intrinsic ability group, OR=0.442), the lower the Barthel index (compared to the low sensation-low exercise group, ≤40 points with OR=0.157; 41-60 points with OR=0.285) were more likely to enter the low cognition-low psychology group (all P<0.05); other chronic disease types ≤1 (compared to the low cognition-low psychology group, OR=2.630), higher health literacy scores (compared to the low cognition-low psychology group, OR=1.033) were more likely to enter the relatively stable intrinsic ability group (both P<0.05); and stroke frequency was the first occurrence (compared to the low cognition-low psychology group, OR=2.725) was more likely to enter the low sensation-low exercise group ( P<0.05). Conclusions:In older adults with ischemic stroke, the characteristics of intrinsic ability are clearly categorized. To enhance patient outcomes, healthcare professionals are advised to tailor nursing interventions based on the unique features and specific influencing factors associated with each potential category.

Objective:To explore the evaluation method for key performance indicators of autonomous ultrasound scanning robots,so as to establish a testing scheme and conduct experiments.Methods:Based on the working principle of autonomous ultrasound scanning robots,three key performance indicators,which included scanning speed,scanning contact force,and accuracy of online adjustment,were established.The speed of the robotic arm,which execute autonomous scanning,was tested through laser rangefinders and a design of process equipment for displacement.The contact force of autonomous scanning was monitored and evaluated using a combination of ultrasound phantom and sensor with six-dimensional force.The displacement differences of phantom and robotic arm were monitored to evaluate the accuracy of online adjustment through designed a synchronization detection device for the displacements of phantom and robotic arm.Results:This research designed and provided test method and test device,which realized successful measurements for the speed,contact force,and accuracy of online adjustment in autonomous scanning of the ultrasonic scanning robot.Conclusion:The speed,contact force,and accuracy of online adjustment in scanning can be used as evaluation indicators of systematic performance of autonomous ultrasound scanning robots.The feasibility of these indicators is demonstrated through designed evaluation methods and corresponding experiments.

Objective This study established a qualitative and quantitative detection method for 9 new synthetic cannabinoids in e-cigarette oil using liquid chromatography-high resolution mass spectrometry.Methods E-cigarette oil was extracted with methanol,concentrated by nitrogen blowing under a water bath at 60℃,and separated using an Acquity UPLC? HSS T3(100 mm×2.1 mm,1.8 μm)column.Gradient elution was performed with ammonium acetate buffer solution(20 mmol/L)containing 0.1%formic acid and acetonitrile as the mobile phase.Detection was carried out in the positive ion mode of the HESI ion source using DDA(FullScan+dd-MS2)mode.Quantification was performed using the external standard method based on precise precursor ion peak areas,while qualitative analysis relied on retention times and characteristic fragment ions.Results The results showed that the standard curves of all 9 synthetic cannabinoids in blank e-cigarette oil matrix exhibited good linearity with R2 values>0.999.The limits of detection ranged from 0.0001 to 0.01 μg/g,and the limits of quantification ranged from 0.0003 to 0.03 μg/g.Recovery rates at low,medium,and high spiking levels in blank e-cigarette oil matrix ranged from 75.7%to 115%,with relative deviations<8.5%.Conclusion This method features a short instrument detection time of only 10 min,relatively simple operation,low detection limits,high accuracy,and good precision,making it applicable for rapid screening and quantitative analysis of synthetic cannabinoids in e-cigarette oil.

The prevalence of periodontitis in China is as high as 74.2％,making it the leading cause of tooth loss in adults and severely impacting both oral and overall health.The treatment of periodontitis and periodontal tissue regeneration are global challenges of significant concern.GE Shaohua's group at School and Hospital of Stomatology,Shandong University has focused on the key scientific issue of"re-modeling the periodontal inflammatory microenvironment and optimizing tissue repair and regeneration".They have elucidated the mechanisms underlying the persistence of periodontitis,developed bioactive ma-terials to enhance stem cell regenerative properties,and constructed a series of guided tissue regeneration barrier membranes to promote periodontal tissue repair,leading to the establishment of a comprehensive technology system for the treatment of periodontitis.Specific achievements and progress include:(1)Elucidating the mechanism by which key periodontal pathogens evade antimicrobial autophagy,leading to inflammatory damage;developing intelligent antimicrobial hydrogels and nanosystems,and creating metal-polyphenol network microsphere capsules to reshape the periodontal inflammatory microenviron-ment;(2)Explaining the mechanisms by which nanomaterial structures and electroactive interfaces regu-late stem cell behavior,developing optimized nanostructures and electroactive biomaterials,thereby effec-tively enhancing the regenerative repair capabilities of stem cells;(3)Creating a series of biphasic heterogeneous barrier membranes,refining guided tissue regeneration and in situ tissue engineering techniques,stimulating the body's intrinsic repair potential,and synergistically promoting the structural regeneration and functional reconstruction of periodontal tissues.The research outcomes of the group have innovated the fundamental theories of periodontal tissue regeneration,broken through foreign technologi-cal barriers and patent blockades,established a cascade repair strategy for periodontal regeneration,and enhanced China's core competitiveness in the field of periodontal tissue regeneration.

BACKGROUND:The combination of traditional Chinese medicine syndrome and semen quality-related parameters can jointly predict the occurrence of abnormal increase in sperm DNA fragmentation index (DFI) and draw a column chart,which can significantly improve clinical practicality and application efficiency,provide a basis for comprehensive evaluation of semen quality in clinical practice,take active intervention measures to improve clinical outcomes,and formulate personalized medical plans.OBJECTIVE:To explore the prediction model and verification of sperm DNA fragments based on traditional Chinese medicine syndrome and semen quality-related parameters.METHODS:Retrospective analysis was made on 420 infertile patients who received traditional Chinese medicine syndrome diagnosis and sperm DNA fragment rate examination in the Department of Traditional Chinese Medicine Andrology,Nanxishan Hospital of Guangxi Zhuang Autonomous Region from July 2019 to July 2021.According to the Manual of Human Semen Examination and Treatment Laboratories (6th Edition),137 patients with sperm DFI>30％ were included in the group of abnormally high sperm DFI,and 283 patients with sperm DFI ≤ 30％ were taken as the control group.First,univariate analysis was used to screen the influencing factors of the abnormal increase of sperm DFI.Then,the best matching factor was selected by using the collinearity problem of LASSO correction factors.Then,it was included in the multifactor forward stepwise logistic regression to find out its independent influencing factors and draw a nomogram.Finally,the receiver operating characteristic curve,calibration curve,decision curve analysis and clinical impact curve were used to verify the differentiation and accuracy of the prediction model and its clinical application effectiveness.RESULTS AND CONCLUSION:(1) The results of the univariate analysis showed that age,body mass index,forward motion rate,total sperm motility,sperm concentration,sperm morphology,kidney yang deficiency syndrome,damp heat downpour syndrome,and kidney sperm deficiency syndrome were the influencing factors for the abnormal increase of sperm DFI (P<0.05).(2) The best matching factors further screened by LASSO regression were age,body mass index,total sperm motility,sperm concentration,sperm morphology,kidney yang deficiency syndrome,damp heat downpour syndrome,and kidney essence deficiency syndrome (P<0.05).(3) Multifactor forward stepwise Logistic regression showed that age,body mass index,sperm concentration,total sperm motility,damp heat downpour syndrome,and kidney yang deficiency syndrome were six independent factors that caused the abnormal increase in sperm DFI.(4) Receiver operating characteristic curve showed that the area under the curve of the model group was 0.760(0.713,0.806),and the area under the curve of the validation group was 0.745(0.714,0.776).It showed that the prediction model had good discrimination.(5) The average absolute error of the calibration curve was 0.040,and the Hosmer Lemeshow test (P>0.05),suggesting that there was no significant statistical difference between the probability of the abnormal increase in DFI of spermatozoa predicted by the model and the probability of the abnormal increase in DFI of spermatozoa actually occurred,which confirmed that the model had good accuracy.(6) Decision curve analysis and clinical impact curve showed that the model group and validation group had the maximum clinical net benefit when the threshold probability values were (0.08-0.84) and (0.09-0.78) respectively,and had good clinical application efficiency within the threshold probability range.(7) These findings conclude that age,body mass index,sperm concentration,total sperm viability,damp heat downpour syndrome and kidney yang deficiency syndrome are independent factors that cause the abnormal increase in sperm DFI.The nomogram of the clinical prediction model constructed by them has good clinical prediction value and clinical application efficiency,and can provide the basis for comprehensive clinical evaluation of semen quality and individualized medical service.

Objective:To explore the evaluation method for key performance indicators of autonomous ultrasound scanning robots,so as to establish a testing scheme and conduct experiments.Methods:Based on the working principle of autonomous ultrasound scanning robots,three key performance indicators,which included scanning speed,scanning contact force,and accuracy of online adjustment,were established.The speed of the robotic arm,which execute autonomous scanning,was tested through laser rangefinders and a design of process equipment for displacement.The contact force of autonomous scanning was monitored and evaluated using a combination of ultrasound phantom and sensor with six-dimensional force.The displacement differences of phantom and robotic arm were monitored to evaluate the accuracy of online adjustment through designed a synchronization detection device for the displacements of phantom and robotic arm.Results:This research designed and provided test method and test device,which realized successful measurements for the speed,contact force,and accuracy of online adjustment in autonomous scanning of the ultrasonic scanning robot.Conclusion:The speed,contact force,and accuracy of online adjustment in scanning can be used as evaluation indicators of systematic performance of autonomous ultrasound scanning robots.The feasibility of these indicators is demonstrated through designed evaluation methods and corresponding experiments.

Blonanserin,a second-generation atypical antipsychotic agent,acts as an antagonist for dopamine D2,D3,and serotonin 5-HT2A receptors.Clinical studies have demonstrated that blonanserin is non-inferior to other antipsychotics,such as haloperidol and risperidone,in alleviating the symptoms of schizophrenia.Moreover,it exhib-its beneficial effects on cognitive symptoms and social functioning,with a favorable safety profile,making it one of the key treatment options for schizophrenia.With extensive clinical experience accumulated in China,this expert consensus aims to provide psychiatrists with updated and localized guidance on the optimal use of blonan-serin.Based on a systematic review of the latest evidence-particularly studies in Chinese population,this paper pres-ents the updated Chinese expert recommendations for the clinical use of blonanserin in 2024.

Objective To evaluate the respective or synergistic value of cytoplasmic tryptophan-tRNA ligase(WARS1/SYWC)and adenosine deaminase(ADA)in diagnosing tuberculous pleural effusion(TPE).Methods A retrospective analysis was conducted on 120 patients with pleural effusion(64 cases of TPE,56 cases of non-TPE)admitted to the First Affiliated Hospital of Jinan University and its affiliated Shunde Hospital from January 2020 to December 2024.Pleural fluid SYWC levels were identified using enzyme-linked immunosorbent assay(ELISA).Univariate and multivariate logistic regression analyses were performed to identify diagnostic predictors,while receiver operating characteristic(ROC)curves were plotted to assess the diagnostic perfor-mance of individual and combined biomarkers.Results Compared to the non-TPE group,TPE group exhibited significantly younger age,lower pleural CEA,less serum CEA,and lower neutrophil-to-lymphocyte ratio(NLR),but significantly higher levels of pleural ADA,total protein,SYWC,and serum CRP(all P<0.05).Univariate analysis identified age,pleural CEA,carbohydrate antigen 199,ADA,SYWC,serum CEA,and NLR as potential predictors.Multivariate analysis confirmed pleural ADA(OR=1.064,95%CI:1.017～1.228)and SYWC(OR=6.695,95%CI:2.794～16.04)as independent diagnostic factors.At optimal cutoffs,SYWC(16.94 μg/L)demonstrated a sensitivity of 71.80%and specificity of 98.21%,while ADA(36.5 U/L)showed a sensitivity of 93.75%and a specificity of 89.29%.Combined detection increased the sensitivity to 95.56%,the specificity to 98.0%,and the accuracy to 97.87%.ROC analysis revealed an AUC of 0.973(95%CI:0.943～1.000)for the combination,outperforming ADA(0.897)and SYWC(0.938)alone.Conclusion The combi-nation of SYWC and ADA notably enhances diagnostic efficacy for TPE,providing high sensitivity and specificity as a reliable tool for clinical differentiation.

Objective To investigate the expression and regulatory role of adenosine triphosphate binding transporter C4(ABCC4)in patients with type 2 diabetes mellitus(T2DM)and macrovascular disease(MD).Methods A total of 137 patients with T2DM were enrolled in this study from Zhongnan Hospital of Wuhan University during March 2015 and March 2017.All the participants were divided into T2DM group(n=64)and T2DM with MD group(n=73)according to the presence or absence of MD.Another 75 healthy subjects were selected as normal control(NC)group.The general data and biochemical indicators were collected and compared among the three groups.The mRNA expression level of ABCC4 was detected by real-time fluorescence quantitative PCR(qPCR),and the correlation between each indicator and ABCC4 mRNA was analyzed.ABCC4 knockout stable HepG2 cell line was constructed and transcriptome sequencing analysis(RNA-Seq)was performed.Results BMI,FPG,TC,TG and LDL-C were higher,while HDL-C was lower in T2DM and MD groups than in NC group(P<0.05).The expression levels of SBP and ABCC4 mRNA were higher in MD group than in T2DM and NC groups(P<0.05).Spearman correlation analysis showed that the level of ABCC4 mRNA was negatively correlated with cholinesterase(r=-0.359,P<0.05)and positively correlated with lipoprotein(a)(r=0.241,P<0.05).A total of 280 differentially expressed genes were screened out by RNA-Seq in ABCC4 knockout cell lines.GO and KEGG analysis showed that these differentially expressed genes were mainly enriched in biological functions such as vesicle transport and growth factor activity.It is involved in cytokine receptor interaction,glycation products-receptor for advanced glycation end products signaling pathway of DM complications,leukocyte transendothelial migration and other pathways.Conclusions ABCC4 is elevated in patients with T2DM and macrovascular disease.ABCC4 might play a role in occurrence and development of macrovascular disease through affecting the biological function of membrane,inflammation and glycation metabolism pathways.