OBJECTIVE To explore the efficacy and safety of toludesvenlafaxine in the treatment of patients with major depressive disorder （MDD） with anhedonia. METHODS This retrospective study included 160 patients with MDD with anhedonia who were treated at Hebei Mental Health Center from May 2023 to August 2025. These patients were divided into a control group （ n ＝81） and an observation group （ n ＝79） according to treatment regimens. All patients received transcranial magnetic stimulation therapy. On this basis，the control group was treated with Sertraline Hydrochloride Tablets， while the observation group received Toludesvenlafaxine Hydrochloride Sustained-Release Tablets，with an 8-week continuous treatment course.To compare t he clinical total effective rate， anhedonia remission rate，the severity of depressive symptoms，degree of anhedonia，cognitive function，social function and quality of life between the two groups before and after treatment， the incidence of adverse reactions during treatment was recorded simultaneously. RESULTS After treatment，the total effective rate and anhedonia remission rate of the observation group were significantly higher than the control group （ P ＜0.05）. At the 4th and 8th weeks of treatment， the scores of Snaith-Hamilton Pleasure Scale， Hamilton Depression Rating Scale-17 Items， and Sheehan Disability Scale of both groups were significantly lower than those before treatment in the same group， and the observation group was significantly lower than the control group （ P ＜0.05）； the scores of Montreal Cognitive Assessment and Quality of Life Enjoyment and Satisfaction Questionnaire-Short Form were significantly higher than those before treatment in the same group， and the observation group was significantly higher than the control group （ P ＜0.05）. There was no statistically significant difference in the overall incidence of adverse reactions between the two groups （ P ＞0.05）. CONCLUSIONS Toludesvenlafaxine can significantly improve depressive symptoms， cognitive function， and social function in MDD patients with anhedonia，with good safety.

Objective To investigate the relationship between inflammation index and the severity of cere-bral small vessel disease.Methods A total of 168 patients with cerebral small vessel disease who were admit-ted to the Eighth People's Hospital of Hebei from August 2019 to October 2022 were selected as the study ob-jects.The study subjects were divided into cerebral small vessel disease with light burden(light burden group)and cerebral small vessel disease with medium-heavy burden(medium-heavy burden group)according to the total imaging burden score of cerebral small vessel disease.The basic data and systemic immune-inflam-matory index(SII),neutrophil to lymphocyte ratio(NLR),platelet to lymphocyte ratio(PLR),and monocyte to lymphocyte ratio(MLR)were compared between the two groups.Spearman correlation analysis was used to evaluate the correlation between SII,NLR,PLR and MLR and the total imaging burden score of cerebral small vessel disease,and the influence of SII,NLR,PLR and MLR on the medium-heavy burden of cerebral small vessel disease was further analyzed by multivariate Logistic regression.Receiver operating characteristic(ROC)curves were plotted to analyze the predictive value of SII,NLR,PLR and MLR in the severity of cere-bral small vessel disease.Results The age,smoking history,hypertension history,neutrophil,platelet,SII,NLR,PLR and MLR in medium-heavy burden group were significantly higher than those in light burden group,and lymphocyte was significantly lower than that in light burden group,with statistical significance(P<0.05).Spearman correlation analysis showed that SII(r=0.377),NLR(r=0.516),PLR(r=0.486)and MLR(r=0.391)were positively correlated with the total imaging burden score of cerebral small vessel disease(P<0.001).Multivariate Logistic regression analysis showed that age,neutrophil,platelet,SII,NLR,PLR and MLR were independent risk factors for medium-heavy burden in cerebral small vessel disease,and lymphocyte was independent protective factor for medium-heavy burden in cerebral small vessel disease(P<0.05).ROC curve analysis results showed that the area under the curve of SII,NLR,PLR and MLR separately detected were 0.720(95%CI:0.646-0.787),0.802(95%CI:0.733-0.859),0.784(95%CI:0.714-0.843)and 0.728(95%CI:0.654-0.794),respectively.The area under the curve of the combined detection of the four indexes was higher than that of the single detection of each index(P<0.05).Conclusion The combined detection of SII,NLR,PLR and MLR has high predictive value for the severity of cerebral small vessel dis-ease,and is worthy of clinical promotion.

Objective To develop a decision support system for clinical nursing plans based on nursing diagno-sis and explore its application effects,in order to provide references for optimizing the clinical nursing process and improving the quality of nursing.Methods A multidisciplinary research team was established to construct a clini-cal nursing plan decision support system framework from 3 aspects,namely nursing diagnosis,nursing interventions,and outcome tracking.The system built a clinical nursing diagnosis decision knowledge base through 3 dimensions,namely basic nursing diagnoses,specialty disease nursing diagnoses,and nursing-related technical diagnoses.Deep learning-based artificial intelligence capture technology was developed to achieve intelligent matching and generate clinical nursing plan forms.Implemented in a tertiary hospital in Yichang City,Hubei Province,a control group(June to August 2024)and an experimental group(October to December 2024)were compared regarding nursing diagnosis implementation rate,nursing plan documentation accuracy,and clinical nursing quality scores.Results This research showed a significant improvements for nursing diagnosis implementation rate increased from 94.88％to 97.25％,and nursing plan documentation accuracy improved from 90.38％to 95.33％.Compared with the control group,the experimental group demonstrated statistically significant enhancements in deep vein thrombosis preven-tion,fall prevention,pressure injury management,unplanned extubation control,bloodstream infection control,catheter-related infection prevention,and key specialty nursing quality indicators(all P＜0.05).Conclusion The nursing di-agnosis-based clinical decision support system effectively improves nurses'diagnostic implementation rates,enhances documentation accuracy of nursing plans,and elevates overall clinical nursing quality.

ObjectiveTo explore the protective effect of Shengxiantang on cardiac function and myocardial microvascular injury in rats with chronic heart failure （CHF）. MethodsThe CHF rat model was prepared by aortic arch constriction （TAC）. Of the 72 SD rats， 8 were randomly selected as the sham operation group， where the chest was opened without ligating the aortic arch. The 40 successfully modeled rats were randomly divided into the model group， the Shengxiantang low-， medium-， and high-dose groups （5.1， 10.2， 20.4 g·kg^-1）， and the trimetazidine group （6.3 mg·kg^-1）， with 8 rats in each group. Drug administration began 4 weeks after modeling. The administration groups received the corresponding drugs by gavage， while the sham operation and model groups were given the same amount of distilled water for 8 consecutive weeks. Echocardiography was used to assess cardiac function. Enzyme-linked immunosorbent assay （ELISA） was used to detect the levels of nitric oxide （NO）， endothelin （ET-1）， vascular endothelial growth factor （VEGF）， and von Willebrand factor （vWF）. Ultrastructural changes of microvessels were observed by transmission electron microscopy. Immunohistochemistry was used to detect the expression levels of ATP synthase subunit （ATP5D） and F-actin in myocardial tissue. Western blot was used to detect the expression levels of occludin， claudin， vascular endothelial cadherin （VE-Cadherin）， and zonula occludens-1 （ZO-1）. Microvessel density was measured by immunofluorescence staining. ResultsCompared with the sham operation group， the ejection fraction （EF） and left ventricular shortening fraction （FS） in the model group were significantly decreased （P<0.01）， while the left ventricular diastolic diameter （LVIDd）， left ventricular systolic diameter （LVIDs）， left ventricular end-diastolic posterior wall thickness （LVPWd）， left ventricular end-systolic posterior wall thickness （LVPWs）， left ventricular end-diastolic volume （LVVOLd）， and left ventricular end-systolic volume （LVVOLs） were significantly increased （P<0.01）. The levels of NO and VEGF were significantly decreased （P<0.01）， while the levels of ET-1 and vWF were significantly increased （P<0.01）. Under electron microscopy， the microvascular basement membrane was incomplete and the tight junctions were blurred. The expression levels of ATP5D， F-actin， occludin， claudin， ZO-1， and VE-Cadherin were significantly decreased （P<0.05， P<0.01）， and the relative density of microvessels was significantly reduced （P<0.05， P<0.01）. After intervention with Shengxiantang， the EF and FS of CHF rats significantly increased （P<0.01）， while the LVIDd， LVIDs， LVPWd， LVPWs， LVVOLd， and LVVOLs significantly decreased （P<0.01）. The levels of NO and VEGF significantly increased （P<0.01）， while the levels of ET-1 and vWF significantly decreased （P<0.01）. Under electron microscopy， the microvascular basement membrane was relatively complete and the tight junctions were more continuous. The expression levels of ATP5D， F-actin， occludin， claudin， ZO-1， and VE-Cadherin significantly increased （P<0.05， P<0.01）， and the relative density of microvessels significantly increased （P<0.01）. ConclusionShengxiantang can effectively improve the cardiac function of CHF rats， reduce microvascular endothelial injury， strengthen the connection between endothelial cells， and increase microvessel density， thereby protecting myocardial microvascular injury.

ObjectiveTo explore the protective effect of Shengxiantang on cardiac function and myocardial microvascular injury in rats with chronic heart failure （CHF）. MethodsThe CHF rat model was prepared by aortic arch constriction （TAC）. Of the 72 SD rats， 8 were randomly selected as the sham operation group， where the chest was opened without ligating the aortic arch. The 40 successfully modeled rats were randomly divided into the model group， the Shengxiantang low-， medium-， and high-dose groups （5.1， 10.2， 20.4 g·kg^-1）， and the trimetazidine group （6.3 mg·kg^-1）， with 8 rats in each group. Drug administration began 4 weeks after modeling. The administration groups received the corresponding drugs by gavage， while the sham operation and model groups were given the same amount of distilled water for 8 consecutive weeks. Echocardiography was used to assess cardiac function. Enzyme-linked immunosorbent assay （ELISA） was used to detect the levels of nitric oxide （NO）， endothelin （ET-1）， vascular endothelial growth factor （VEGF）， and von Willebrand factor （vWF）. Ultrastructural changes of microvessels were observed by transmission electron microscopy. Immunohistochemistry was used to detect the expression levels of ATP synthase subunit （ATP5D） and F-actin in myocardial tissue. Western blot was used to detect the expression levels of occludin， claudin， vascular endothelial cadherin （VE-Cadherin）， and zonula occludens-1 （ZO-1）. Microvessel density was measured by immunofluorescence staining. ResultsCompared with the sham operation group， the ejection fraction （EF） and left ventricular shortening fraction （FS） in the model group were significantly decreased （P<0.01）， while the left ventricular diastolic diameter （LVIDd）， left ventricular systolic diameter （LVIDs）， left ventricular end-diastolic posterior wall thickness （LVPWd）， left ventricular end-systolic posterior wall thickness （LVPWs）， left ventricular end-diastolic volume （LVVOLd）， and left ventricular end-systolic volume （LVVOLs） were significantly increased （P<0.01）. The levels of NO and VEGF were significantly decreased （P<0.01）， while the levels of ET-1 and vWF were significantly increased （P<0.01）. Under electron microscopy， the microvascular basement membrane was incomplete and the tight junctions were blurred. The expression levels of ATP5D， F-actin， occludin， claudin， ZO-1， and VE-Cadherin were significantly decreased （P<0.05， P<0.01）， and the relative density of microvessels was significantly reduced （P<0.05， P<0.01）. After intervention with Shengxiantang， the EF and FS of CHF rats significantly increased （P<0.01）， while the LVIDd， LVIDs， LVPWd， LVPWs， LVVOLd， and LVVOLs significantly decreased （P<0.01）. The levels of NO and VEGF significantly increased （P<0.01）， while the levels of ET-1 and vWF significantly decreased （P<0.01）. Under electron microscopy， the microvascular basement membrane was relatively complete and the tight junctions were more continuous. The expression levels of ATP5D， F-actin， occludin， claudin， ZO-1， and VE-Cadherin significantly increased （P<0.05， P<0.01）， and the relative density of microvessels significantly increased （P<0.01）. ConclusionShengxiantang can effectively improve the cardiac function of CHF rats， reduce microvascular endothelial injury， strengthen the connection between endothelial cells， and increase microvessel density， thereby protecting myocardial microvascular injury.

This study retrospectively reviewed the clinical data of 9 recipients with post-transplant lymphoproliferative disorder (PTLD) after liver transplantation admitted to the Organ Transplantation Center of the Affiliated Hospital of Qingdao University from January 2020 to June 2024, and summarized their clinical manifestations, pathological features, treatment regimens, and prognostic conditions, so as to provide a reference for clinical diagnosis and treatment.

ObjectiveTo investigate the serotype distribution and antimicrobial resistance characteristics of foodborne Salmonella in infectious diarrhea cases in Minhang District, Shanghai, and to provide evidence for clinical diagnosis, treatment, prevention, and control of salmonellosis. MethodsFecal or anal swab samples were collected from foodborne diarrhea cases at sentinel hospitals between 2019 and 2023 in Minhang District of Shanghai. Salmonella was isolated, biochemically identified, and serotyped. Antimicrobial susceptibility testing was performed via the microbroth dilution method. ResultsA total of 4 294 samples were collected, from which 224 Salmonella strains were isolated, with an isolation rate of 5.22%. There was no gender difference in the positive rate of Salmonella. The positive rate showed seasonal fluctuations (χ²=160.475, P<0.001), with a higher positive rate in summer and autumn than in spring and autumn. Among different occupational groups, the positive rate was the highest among retired people (7.30%) (χ²=20.023, P=0.001). Among different age groups, the positive rate was the highest among those aged 80 years and above (7.33%) (χ²=13.491, P=0.009). A total of 28 serotypes were identified, with Salmonella Enteritidis being the most predominant, followed by Salmonella Typhimurium. Among them, 154 strains were multi-drug resistant to three or more types of antibiotics (68.75%). The most common drug resistance patterns among multi-drug resistant strains were ampicillin (AMP)-ampicillin/sulbactam (AMS)-sulfamethoxazole/trimethoprim (SXT)-chloramphenicol (CHL)-tetracycline (TET)-streptomycin (STR), AMP-TET-STR and AMP-AMS-TET-STR, with 9 strains being detected in each isolates. ConclusionThe positive rate of foodborne Salmonella in Minhang District, Shanghai, is high in summer and autumn, with a higher infection rate among retired people and those aged 60 years and above being the high-risk group. It is recommended to strengthen the protection for high-risk groups, implement targeted prevention and control measures in summer and autumn to reduce the risk of infection, and pay attention to guiding clinical medication and infection control.

To address communication interference in complex noise environments inside and outside helmets,this study aims to improve the acoustic communication quality of in-helmet systems.A four-element microphone array communication hardware system was designed and implemented for use within the confined space of a helmet.Based on simulations of the internal acoustic field,the system incorporates a set of signal processing techniques,including array beamforming,echo cancellation,stationary noise speech enhancement,non-stationary noise suppression,and automatic gain control,forming a complete voice signal processing framework.Experimental results show that the proposed in-helmet microphone array noise reduction system achieves favorable downlink voice clarity under a total noise level of 85 dB(A),preliminarily validating the effectiveness and applicability of the implemented algorithms.This research provides essential technical and theoretical support for the future design and development of open-form in-helmet communication systems.

In order to validate the effects of restraint layer material on mechanical properties of spacesuit joints,application and development trend of typical restraint layer materials were studied.Based on the design requirement of restraint layer material for spacesuit joint functional analysis,choosing polyamide fiber and polyarylester fiber with same weaving process,two kinds of restraint layer fabrics were obtained.Effects on spacesuit joint performance were studied by comparison test on material mechanical properties and typical joint mobility with both fabrics.The results indicate that the characteristic of polyarylester with high strength and low elongation has advantage on compression and ergonomic support.The high modulus of polyarylester can provide creep resistance for spacesuit joints in the condition of periodic inflating and working,which can perform structure stability in life cycle.The high stiffness of polyarylester can reduce the thickness of fabric,which can improve hysteresis and reduce joint resistance on spacesuit joints but also interfere smoothness in the process of joint motion.The results can provide references for the design on spacesuit joints and the selection on restraint layer materials.

Objective To develop a decision support system for clinical nursing plans based on nursing diagno-sis and explore its application effects,in order to provide references for optimizing the clinical nursing process and improving the quality of nursing.Methods A multidisciplinary research team was established to construct a clini-cal nursing plan decision support system framework from 3 aspects,namely nursing diagnosis,nursing interventions,and outcome tracking.The system built a clinical nursing diagnosis decision knowledge base through 3 dimensions,namely basic nursing diagnoses,specialty disease nursing diagnoses,and nursing-related technical diagnoses.Deep learning-based artificial intelligence capture technology was developed to achieve intelligent matching and generate clinical nursing plan forms.Implemented in a tertiary hospital in Yichang City,Hubei Province,a control group(June to August 2024)and an experimental group(October to December 2024)were compared regarding nursing diagnosis implementation rate,nursing plan documentation accuracy,and clinical nursing quality scores.Results This research showed a significant improvements for nursing diagnosis implementation rate increased from 94.88％to 97.25％,and nursing plan documentation accuracy improved from 90.38％to 95.33％.Compared with the control group,the experimental group demonstrated statistically significant enhancements in deep vein thrombosis preven-tion,fall prevention,pressure injury management,unplanned extubation control,bloodstream infection control,catheter-related infection prevention,and key specialty nursing quality indicators(all P＜0.05).Conclusion The nursing di-agnosis-based clinical decision support system effectively improves nurses'diagnostic implementation rates,enhances documentation accuracy of nursing plans,and elevates overall clinical nursing quality.