Objective This study aimed to investigate the genetic diversity, differentiation, and population structure of Aedes albopictus across different geographical regions in Shandong Province, and to explore the relationship between genetic diversity and geographical distribution. Methods Between July and August 2024, ten Ae. albopictus populations were sampled from seven cities in Shandong Province. Genomic DNA was extracted from individual mosquitoes, and the mitochondrial cytochrome c oxidase subunit I(COⅠ)gene was amplified using PCR and sequenced. The obtained sequences were verified using BLAST and analyzed with MAFFT, MEGA 11, DnaSP v6.12, Arlequin 3.5, PopART 1.7, STRUCTURE 2.3.4 and the R packages adegenet and vegan to assess genetic diversity and population structure. Results A total of 229 COⅠ sequences(662 bp) was obtained, revealing ten variable sites with no insertions or deletions. The overall base composition showed an AT bias of 67.7%. Haplotype analysis identified 11 haplotypes, with Hap2 being the dominant and most widely distributed haplotype across all populations. Neutrality tests showed significant population expansion only in the Rizhao population. Mantel testing result revealed that geographical distance does not significantly impede gene flow. Overall, genetic differentiation among populations was low, indicating frequent gene flow. When combined with additional samples from Shanghai, Fujian, Guangdong, Yunnan, Hainan and Guangxi, STRUCTURE, UPGMA and DAPC analyses revealed two primary genetic clusters of Ae. albopictus. Conclusions Ae. albopictus populations in Shandong Province exhibit frequent gene flow, low genetic differentiation, and relatively low overall genetic diversity. However, the Rizhao population showed signs of recent expansion, highlighting the need for enhanced surveillance and targeted control measures in this area.

Systemic inflammation of cachexia is an important cause of high mortality of degenerative diseases such as ad-vanced cancer,and also the most important factor to aggravate the cachexia process.Systemic inflammation of cachexia has a profound impact on the proliferation and invasion of tumors and the catabolism of muscle and adipose tissue in patients with cachexia.In recent years,studies have shown that the dysfunction of gut microbiota during cachexia is an important cause of cachexia systemic inflamma-tion and a key therapeutic target.The dysfunctions of intestinal barrier mediated by gut microbiota and the translocation of bacterial tox-ins during the cachexia period are important causes of cachexia systemic inflammation.This article mainly summarized the relationship between gut microbiota and cachexia systemic inflammation,and summarized the mechanism of intestinal flora inducing cachexia sys-temic inflammation by regulating short chain fatty acids,lipopolysaccharide,flagellin,peptidoglycan and other substances,with a view to providing new ideas for the prevention and treatment of cachexia systemic inflammation from the perspective of intestinal flora.

We reported the clinical manifestations,radiographic characteristics and prognosis of 1 case with Mycolicibacterium wolinskyi pulmonary disease,and provided a comprehensive literature review on this disease.Using"M.wolinskyi"OR"Mycobacterium wolinskyi"OR"Mycolicibacterium wolinskyi"as search term in PubMed database,CNKI and Wanfang database up to August 26 2023,40 reports were retrieved.32 cases from the literature and 1 case of our institution were used for review.A 59-year-old female presented intermittent hemoptysis since 2015.She was diagnosed with tuberculosis and clinical symptoms continued after anti-tuberculosis treatment.After multiple cultures of mycobacterium sputum and species identification in our hospital,M.wolinskyi was finally identified.She was diagnosed with M.Wolinski pulmonary disease according to clinical symptoms,computed tomography findings as well as bacteriological examinations.Combination therapy with Azithromycin,Moxifloxacin hydrochloride and Amikacin were administered based on antimicrobial susceptibility testing.Mycobacterium sputum culture became negative after 1 month treatment and kept negative,and the patient continued this combination therapy for 12 months after first culture negative.M.wolinskyi disease is exceedingly rare in medical institutions,and clinical symptoms are different depending on different location.Most cases were infected with skin,soft tissue or bone tissue infection after trauma or surgery,and a few cases were bloodstream infection.Most patients could have a good prognosis after proper treatment.M.wolinskyi disease is rare and clinically atypical,which may lead to long-term misdiagnosis.With the increase of aged or immunosuppressed population,the diagnosis and treatment of these rare non-tuberculous mycobacterial infections deserve more attention.

Objective To explore the motor coordination characteristics of the attack leg of the athletes under scoring actions in the front roundhouse kick of competitive taekwondo,and provide a theoretical basis for coaches to formulate precise training strategies in stages and segments so as to enhance the efficiency and success rate of the athletes' movements.Methods Kinematic data and surface electromyography signals were collected from 15 elite Taekwondo athletes during different phases of the front roundhouse kick.The continuous relative phase(CRP)method was used to calculate the joint coordination and variability of continuous relative phase(VCRP),while non-negative matrix factorization and k-means clustering were used to analyze muscle synergy characteristics.Results The coupling of the neural launch phase was dominated by knee-ankle coupling in coronal axis and hip-ankle coupling in sagittal axis.The coupling of the kicking phase was dominated by hip-knee,hip-ankle in coronal axis,and knee-ankle coupling in vertical axis.The coupling of the recovery phase was dominated by hip-knee,hip-ankle coupling in coronal axis,and knee-ankle coupling in sagittal axis.These coupling relationships remained relatively stable around 0 rad.Approximately 80.0％VCRP remained stable across all phases,with minor fluctuations occurring at phase transitions.A total of 4,5,and 4 muscle synergy clusters were identified in neural launch,kicking,recovery phases,respectively.There were significant differences in the mean gap values among phases(P＜0.001).However,there were no significant differences in the mean sparsity values among phases(P＞0.05).Some muscle synergies were shared across phases,while others differentiated to form phase-specific coordination patterns.Conclusions Joint coordination in each phase exhibited 1-3 primary stable patterns with flexibility during transitions.Muscle coordination was dynamically adjusted throughout the motion,and a general muscle synergy pattern functioned consistently across different phases,whereas a differentiated muscle synergy pattern fulfilled the phase-specific functional demands.The neural launch and kicking phases should be focused on during training,with the emphasis on controling over critical points to optimize performance.

Objective To develop a deep learning model based on fundus retinal images to improve the detection rate of mild cognitive impairment(MCI)in patients with coronary heart disease,achieve early intervention and improve prognosis.Methods The study was a single-center cross-sectional study that retrospectively included patients diagnosed with coronary heart disease(CHD)by coronary angiography(≥50％ stenosis of at least one coronary vessel)from Beijing Anzhen Hospital between November 2021 and December 2022.The whole data set was randomly divided into the training set and the testing set according to the ratio of 8∶2 for model development.After that,the patient data of the same center from January 2023 to April 2023 were included in the time verification method to verify the model.The diagnostic criteria for MCI were MMSE＜27 or MoCA＜26.Four kinds of convolutional neural network(CNN)architectures were used to train fundus images,and a comprehensive vision model of MCI detection was established through model integration.The area under the curve(AUC),sensitivity and specificity of the receiver operating curve(ROC)were used to evaluate the performance of the AI model.Results We collected 5 880 eligible fundus images from 3 368 CHD patients.Based on the results of the MMSE scale,the algorithm was labeled,including 2 898 males and 527 MCI patients.The AUC of the deep learning model in the test group is 0.733(95％CI 0.688-0.778),and the sensitivity of the algorithm in the test group is 0.577(95％CI 0.528-0.625)by using the operating point with the maximum sum of sensitivity and specificity.With a specificity of 0.758(95％CI 0.714-0.802),corresponding to a validated AUC of 0.710(95％CI 0.601-0.818).Based on the results of the MoCA scale,the algorithm labels 2 437 males and 1 626 MCI patients.The AUC of the deep learning model in the test group was 0.702(95％CI 0.671-0.733).The operating point with the maximum sum of sensitivity and specificity was selected,and the sensitivity of the algorithm was 0.749(95％CI 0.719-0.778)and the specificity was 0.561(95％CI 0.527-0.595),corresponding to the AUC value of the verification group was 0.674(95％CI 0.622-0.726).Conclusions The deep learning algorithm model based on fundus images has good diagnostic performance,and may be used as a new non-invasive,convenient and rapid screening method for MCI in CHD population.

Objective:To investigate the efficacy of nafamostat mesylate in traumatic extracorporeal membrane oxygenation (ECMO) therapy.Methods:Patients admitted to the intensive care units of Children's Hospital Affiliated to Xi'an Jiaotong University and Gansu Provincial Maternal and Child Health Hospital for ECMO-assisted cardiopulmonary support due to trauma from January 2021 to December 2024 were selected as the study subjects. Based on different anticoagulation strategies, patients were divided into the nafamostat mesylate group( n=11) and the common heparin group( n=10). The general conditions of the two groups were compared. In addition, differences in various clinical indicators during the ECMO-assisted process were compared, including white blood cell count (WBC), platelet count (PLT), hemoglobin level (Hb), hematocrit (HCT), prothrombin time(PT), activated partial thromboplastin time (APTT), thrombin time(TT), fibrinogen(FIB) and D-dimer. Furthermore，the differences in the total volume of component blood transfusions, coagulation substances, complications and prognosis between the two groups were compared. Results:No statistically significant differences were observed between the two groups regarding age, gender, weight, type of ECMO support, type of trauma, presence of active bleeding, or rate of surgical intervention. There were no statistically significant differences in WBC, PLT, Hb, HCT, PT, APTT, TT, FIB, and D-dimer between the two groups of patients prior to the initiation of ECMO support (all P>0.05). Compared with the common heparin group, children in the nafamostat mesylate group had lower PT[(21±6)s vs. (27±3)s; (20±4) vs. (28±5)], APTT[(68±8)s vs. (89±12)s; (64±15)s vs. (85±21)s], TT [(25±11)s vs. (31±13)s; (24±8)s vs. (35±6)s], and D-dimer[(5.8±1.1) μg/mL vs. (11.5±5.6) μg/mL; (4.2±1.8) μg/mL vs. (14.6±2.5) μg/mL],and higher FIB[(2.1±0.5) g/L vs. (1.6 ± 0.3) g/L; (2.4 ± 0.4) g/L vs. (1.3 ± 0.6) g/L] when ECMO assisted for 24 h and 72 h,the differences were all statistically significant(all P<0.05). Compared to the nafamostat mesylate group, the common heparin group exhibited significantly higher total cumulative infusion amounts of red blood cell suspension, plasma, platelet, FIB, hemocoagulase, and thromboplastin complex during the ECMO-assisted process, and the differences were statistically significant (all P<0.05). There was no statistically significant difference between the two groups of children in terms of time to ECMO assistance, membrane lung failure, loop thrombosis, embolism, and successful withdrawal rate (all P>0.05). Conclusion:Nafamostat mesylate can effectively reduce the risk of bleeding and minimize the requirement for blood product and coagulation substance infusions during traumatic ECMO assistance.

Xeroderma pigmentosum(XP)is a rare autosomal recessive disorder related to XP gene variation,often causing secondary malignant tumors.This article reports a case of a young child with secondary squamous cell carcinoma of the lower lip caused by xero-derma pigmentosum.Through a review of relevant literature,the clinical characteristics,pathogenesis,clinical pathological manifesta-tions,and prognosis of XP are discussed.

Objective:To assess the impact of elderly medical and nursing services pilots on the health of the elderly and its differentiated effects.Methods:Using five-period unbalanced panel data from China Longitudinal Aging Social Survey conducted between 2014 and 2023,the study employed a PSM-DID method to analyze changes in the health status of the elderly before and after the reform.Results:The pilots significantly improved the health status of the elderly,with the policy's effects most notably enhancing their psychological health.The elderly groups at a disadvantage in terms of resources,such as those with advanced age,low educational levels,or living apart from their children,can obtain greater mental health benefits from the pilots.The long-term care insurance and elderly medical care services pilots formed a policy synergy,but the implementation of multiple overlapping policies may attenuate the pilot's effects.Conclusions:The pilots have yielded initial results,but there is still considerable room for improvement.It is recommended to actively promote the integration of regional medical and nursing resources,precisely meet the needs of disadvantaged the elderly groups,and strengthen interdepartmental collaboration and information sharing.

Objective To optimize the design of the existing water conductivity control system for pharmaceutical water equipment of full membrane process so as to solve its problems in precision and long cycle time due to water source,ambient temperature and intermittent working mode.Methods The optimized water conductivity control system was composed of an alkali metering pump,a conductivity sensor and a programmable logic controller(PLC),which used a fuzzy proportional-integral-derivative(PID)controller to regulate the water conductivity of pharmaceutical water equipment of full membrane process,and the particle swarm optimization(PSO)algorithm to optimize the parameters of the fuzzy PID controller.A simulation model was established with MATLAB software to verify the performance of the optimized control system.Results Simulation results showed the optimized control system had reductions in overshoot(by 19％)and adjustment time(by 29％)when compared with the fuzzy PID control system,and enhanced control efficiency effectively.Conclusion The optimized control system optimized by the PSO algorithm improves the quality of produced water,and can meet the demands for rapid and safe production of pharmaceutical water by pharmaceutical water equipment of full membrane process in different conditions.[Chinese Medical Equipment Journal,2025,46(6):14-19]

Objective To investigate the distribution and antimicrobial resistance profiles of common pathogens isolated from cerebrospinal fluid(CSF)in CHINET program from 2015 to 2021.Methods The bacterial strains isolated from CSF were identified in accordance with clinical microbiology practice standards.Antimicrobial susceptibility test was conducted using Kirby-Bauer method and automated systems per the unified CHINET protocol.Results A total of 14 014 bacterial strains were isolated from CSF samples from 2015 to 2021,including the strains isolated from inpatients(95.3％)and from outpatient and emergency care patients(4.7％).Overall,19.6％of the isolates were from children and 80.4％were from adults.Gram-positive and Gram-negative bacteria accounted for 68.0％and 32.0％,respectively.Coagulase negative Staphylococcus accounted for 73.0％of the total Gram-positive bacterial isolates.The prevalence of MRSA was 38.2％in children and 45.6％in adults.The prevalence of MRCNS was 67.6％in adults and 69.5％in children.A small number of vancomycin-resistant Enterococcus faecium(2.2％)and linezolid-resistant Enterococcus faecalis(3.1％)were isolated from adult patients.The resistance rates of Escherichia coli and Klebsiella pneumoniae to ceftriaxone were 52.2％and 76.4％in children,70.5％and 63.5％in adults.The prevalence of carbapenem-resistant E.coli and K.pneumoniae(CRKP)was 1.3％and 47.7％in children,6.4％and 47.9％in adults.The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)and Pseudomonas aeruginosa(CRPA)was 74.0％and 37.1％in children,81.7％and 39.9％in adults.Conclusions The data derived from antimicrobial resistance surveillance are crucial for clinicians to make evidence-based decisions regarding antibiotic therapy.Attention should be paid to the Gram-negative bacteria,especially CRKP and CRAB in central nervous system(CNS)infections.Ongoing antimicrobial resistance surveillance is helpful for optimizing antibiotic use in CNS infections.