ObjectiveStroke poses a heavy burden due to its high mortality and morbidity rates. Accurate and real-time detection of lesions is pivotal for prompt clinical intervention and favorable prognosis. Electrical impedance tomography (EIT) and microwave tomography (MWT) have emerged as compelling alternatives for stroke screening, owing to their non-ionizing, non-invasive and portable nature. EIT provides information on tissue conductivity, and MWT offers high sensitivity to changes in dielectric properties. However, single-modality imaging is inherently limited, EIT suffers from low sensitivity to deep-seated tissues and severe ill-posedness of inverse problems, whereas MWT is challenged by strong nonlinearity in inverse scattering and susceptibility to modeling errors. Consequently, the clinical utility of standalone EIT or MWT for stroke diagnosis remains constrained by poor spatial resolution and imaging artifacts. To improve the accuracy and robustness of stroke imaging, a dual-modality fusion conditional denoising diffusion probabilistic model (DM-DDPM) was proposed for high-precision dual-modality image reconstruction. MethodsA dual-encoder network with a symmetric architecture and independently trained parameters was constructed to extract heterogeneous features separately from EIT boundary voltage measurements and MWT scattered field signals. Attentional feature fusion (AFF) is employed to integrate complementary information from the two modalities adaptively, generating robust fused priors that suppress redundant noise while preserving key physical characteristics. Subsequently, the fused priors are embedded into a Transformer-based diffusion model via a cross attention mechanism to guide the reverse denoising process. This approach effectively reduces artifacts and enhances the stability of conductivity distribution reconstruction. Time step embedding is introduced to enable the network to perceive the diffusion stage and further improve the accuracy of noise prediction. ResultsSimulated experiments demonstrated that DM-DDPM significantly outperforms single-modality and multi-modality networks under various noise levels. A head model simulation dataset was constructed based on COMSOL Multiphysics, and tests were carried out under 50 dB, 40 dB and 30 dB signal-to-noise ratio levels. At 30 dB, the average relative error (RE) was below 0.20, while the structural similarity index measure (SSIM) and correlation coefficient (CC) remained above 0.90 and 0.89, respectively. Compared with single-modality and multi-modality networks, artifacts were significantly reduced, lesion edges were clearer, and localization was more accurate. The model maintains high reconstruction quality and strong robustness for single, double, and triple lesions simultaneously. Furthermore, physical experiments were conducted using a 16-electrode EIT system and a 16-antenna MWT system with asynchronous data acquisition. These experiments confirmed the feasibility of the method in real-world scenarios and demonstrated that it can robustly reconstruct simulated lesions despite environmental interference and measurement noise, validating its reliability for practical clinical applications. ConclusionThe proposed method effectively combines complementary dual-modality information with a conditional diffusion model. Low accuracy and poor noise resistance in single-modality imaging were effectively addressed, while the noise amplification issue caused by direct multimodal data fusion was avoided. The proposed algorithm exhibits strong anti-noise interference ability and high imaging stability in both simulation and physical experiments. Precise localization of stroke lesions with different quantities was achieved, providing a high-precision, and practical technical support for clinical stroke detection.

Objective This study reports on the obligatory parasitism of water mites Arrenurus sp. on Anopheles messeae at the Manzhouli Port, Inner Mongolia, China. Methods Duing July 2024, a survey on the mosquito diversity was conducted at the Manzhouli Port. Captured mosquitoes and their ectoparasites were identified to species level. Results A total of 1840 adult mosquitoes were collected, representing species from three genera: Culex(Cx. modestus, Cx. pipiens pallens), Aedes(Ae. dorsalis, Ae. flavidorsalis, Ae. flavescens), and Anopheles (An. messeae). Among all the mosqutioes specimens,3 out of 150 captured An. messeae were found to carry ectoparasitic mites, with number of 2,4,27 mites separately. Morphological and molecular identification reached the same result as water mites(Hydrachnidiae, Hydracrina). COI gene sequence showed 94% similarity with the closest species Arrenurus truncatellus. Conlusions Literature review suggests water mites are host-specific parasitism of mosquito species and herein with the first record of Arrenurus sp. parasiting on An. Messeae in the most high-latitude region globally.

Cardiovascular diseases （CVD）， particularly atherosclerosis， represent a major global health burden. Recent studies have revealed that innate immune cells such as monocytes and macrophages can develop immune memory after an initial stimulus， a phenomenon termed “trained immunity”. Growing evidence indicates that trained immunity serves as an underlying mechanism of chronic inflammation in atherosclerotic cardiovascular diseases. This review focuses on outlining the key effector cells involved in trained immunity and their mechanisms of formation， including processes such as metabolic reprogramming and epigenetic modifications， which collectively lead to a heightened immune response upon secondary stimulation. Furthermore， this review systematically summarizes the role of trained immunity in the initiation and progression of atherosclerosis， and elaborates on various therapeutic strategies targeting trained immunity along with their application prospects.

Objective We reviewed and analyzed the epidemiological data of 83 imported dengue fever cases reported in Fengtai District, Beijing, from 2007 to 2025, to delineate their epidemiological characteristics and guide the dengue fever prevention and control strategy in the future. Methods Data on dengue fever cases in Fengtai District from 2007 to 2025 were collected to identify the epidemic factors and characteristics using descriptive epidemiological method. Results All 83 dengue fever cases reported in this region over the past two decades have been imported from abroad or other domestic areas, with Southeast Asian countries being identified as the primary source of imported infections, accounting for 42 cases (50.60%), followed by 15 cases (18.07%) from Chinese provinces other than Beijing. The remaining import sources included 13 cases from South Asia,8 from African countries, and each from Oceania, South America, and Europe. Disease onset was found concentrated between May and November. The sex ratio (male-to-female) is 1.59:1. The age of onset ranged from 14 to 61 years old, with a median age of 36. The largest proportion of cases was observed among cadres and office workers (31 cases, 37.35%), followed by businessmen (13 cases, 15.67%), and householders or the unemployed (10 cases,12.05%). Travel visit was identified as the primary reason for their exposure history. Conclusions All dengue fever cases reported in Fengtai from 2007 to 2025 were imported, with an increasing trend of imported cases in Beijing originating from other Chinese provinces. It is essential to strengthen health education for foreign travelers and returning residents, enhance clinical diagnosis and treatment training for medical personnel, eliminate mosquito breeding sites, and reduce mosquito density through active patriotic health campaigns.

Ten ursolic acid derivatives were designed from the lead compound ursolic acid by introducing 1,2,3-triazole at C-3 and C-28. The target compounds were synthesized and characterized by ¹H NMR and ¹³C NMR. MTT assay was used to study the antitumor activity of these compounds in human cancer cells with high expression (MCF-7 and SGC-7901). The results showed that the antitumor activity of all compounds on MCF-7 and SGC-7901 tumor cells was significantly higher than that of ursolic acid. The compound II₄ exhibited significant antitumor activity which was equivalent to the positive control drug nilotinib, molecular docking showed that the compound II₄ have high binding ability with c-Kit, which deserves further research.

Objective To investigate the expression levels of T cell receptor(TCR)ζchain and Zeta-chain-associated protein kinase 70(ZAP70)in peripheral blood of patients with primary Sj?gren syndrome(PSS).Methods Thirty-six patients with PSS who were treated at Jiujiang NO.1 People's Hospital from January to June 2024 were enrolled in observation group,and 30 healthy subjects during the same period were enrolled in control group.Real-time fluorescent quantitative polymerase chain reaction was used to detect the expression levels of TCRζ chain and ZAP70 in peripheral blood mononuclear cells,and flow cytometry was used to detect peripheral blood T cell subsets.Pearson correlation was used to analyze the correlation between TCRζ chain,ZAP70 and other detection indicators.Results The relative expression levels of TCRζ chain and ZAP70 in observation group were significantly lower than those in control group(P＜0.05),while CD8+and interleukin-6(IL-6)were significantly higher than those in control group(P＜0.05).Pearson correlation analysis showed that TCRζ chain was positively correlated with CD4+,and negatively correlated with CD8+and IL-6(P＜0.05).ZAP70 was negatively correlated with CD8+and IL-6(P＜0.05).Conclusion The expressions of TCRζ chain and ZAP70 are down-regulated in PSS patients,which may exacerbate the immune disorder of PSS through abnormal T cell signal transduction.

Objective The aim of this study was to characterize the basic molecular and biochemical parameters for a cyclophilin protein in Cryptosporidium parvum called CpCyP1.Methods CpCyP1 expression patterns during the parasite life cycle were evaluated using qRT-PCR with total RNA isolated from different developmental stages of C.parvum.Native CpCyP1 protein in sporozoites was detected using western blot.The localization of CpCyP1 was performed using the immunofluorescence assay,with an affinity-purified rabbit polyclonal antibody against a synthetic peptide.The peptidyl-prolyl cis-trans isomerase(PPIase)activity of His-tagged recombinant CpCyP1 was evaluated using absorbance colorimetry,and the effect of cyclosporin A(CsA)on the activity of CpCyP1 was determined.Results CpCyP1 was expressed in all parasite developmental stages,whereas CpCyP1 was present mainly in the cytosol of sporozoites,meronts,and gamonts.CpCyP1 displayed Michaelis-Menten kinetics towards N-succinyl-Ala-Ala-Pro-Phe-p-nitroanilide for its PPIase activity(Km=456.4 μmol/L;Vmax=1.981 U).CsA inhibited PPIase activity,showing lower micromolar inhibitory activity and binding affinity(Kd=5.122 μmol/L;IC50=1.004 μmol/L).Conclusions These results imply that CpCyP1 in the parasite may be the target for the previously reported anti-cryptosporidial efficacy of CsA and suggest that C.parvum cyclophilins could be evaluated as candidate drug targets.

Objective To investigate the predictive value of serum circular RNA(circRNA)CDYL and circRNA ACAP2 expression levels for major adverse cardiovascular events(MACE)in pa-tients with acute myocardial infarction(AMI).Methods A total of 98 AMI patients were enrolled into the observation group,and divided into MACE group(n=45)and no-MACE group(n=53)based on whether they experienced MACE.Another 98 healthy individuals who underwent physical ex-amination during the same period were selected as the control group.The expression levels of serum cir-cRNA CDYL and circRNA ACAP2 were compared among groups.Multivariate logistic regression analysis was used to identify factors influencing the occurrence of MACE in AMI patients.Receiver operating characteristic(ROC)curve analysis was conducted to evaluate the predictive value of serum circRNA CDYL and circRNA ACAP2 levels for MACE in AMI patients.Results The serum circRNA CDYL level in the observation group was significantly lower than that in the control group,while the circRNA ACAP2 level was significantly higher(P＜0.05).The circRNA CDYL level in the MACE group was significantly lower,and the circRNA ACAP2 level was significantly higher than that in the no-MACE group(P＜0.05).Heart rate and circRNA ACAP2 were identified as independent risk factors for MACE in AMI patients,whereas circRNA CDYL served as independent protective factor(P＜0.05).The area under the ROC curve(AUC)for predicting MACE in AMI patients using se-rum circRNA CDYL,circRNA ACAP2 and their combination were 0.814,0.821 and 0.921,re-spectively.The sensitivity and specificity of combined prediction using serum circRNA CDYL and circRNA ACAP2 were 91.11％and 79.25％,respectively.The combined prediction efficacy of serum circRNA CDYL and circRNA ACAP2 was superior to their individual prediction(Zcombined-circRNA CDYL=1.975,Zcombined-circRNAACAP2=2.064,P=0.048,0.039).Conclusion Serum circRNA CDYL lev-el is down-regulated and circRNA ACAP2 level is up-regulated in AMI patients,and circRNA ACAP2 is an independent risk factor for MACE,while circRNA CDYL is a independent protective factor.The combined value of circRNA CDYL and circRNA ACAP2 in predicting the occurrence of MACE is higher.

Objective To investigate the effectiveness of the curriculum design and teaching mode reform in Health Statistics through the assessment by postgraduate students so as to enhance the teaching performance of the course.Methods A questionnaire survey was conducted among the postgraduate students of grade 2023 at a certain medical university.The survey covered such aspects as students'mastery and application of the course learning content,their evaluation and satisfaction with the course,etc.Descriptive approaches were employed to analyze and summarize the data.Results Students achieved a good command of theoretical knowledge and its application.They highly evaluated the teacher,the course content and its practicality,demonstrated a strong interest in learning,expressed a high level of satisfaction with the course,and manifested a strong willingness to continue studying the course.The learning of the course met the expectations of the students.The final exam scores in the later stage of curriculum reform(78.60±10.58)was higher than that before the reform(75.78±7.97,P<0.05);the excellent rate after the reform was 53.6%,which was higher than the 33.5%before the reform(P<0.05).Conclusion The construction of a course system that integrates knowledge,skills the mixed teaching mode of case-based teaching and the combination of theory and statistical software package operation are beneficial for enhancing postgraduate students'learning and application of the course in health statistics.It also strengthens the design and training of course application aspects for students in clinical medicine and dental medicine disciplines.

Objective:The transcriptome data was utilized to screen cuproptosis-related genes(CRGs)in oral squamous cell car-cinoma(OSCC),and the characteristic genes were identified for constructing a prognostic model for predicting patients'survival time.Methods:OSCC transcriptome gene expression and clinical data were obtained from TCGA and GEO.Through Lasso regres-sion analysis and Cox regression analysis,relevant prognostic genes were screened and prognostic models were constructed.Ac-cording to the median value of risk scores,patients were divided into high and low risk groups,and their survival rates were com-pared.Finally,the predictive performance of the model was verified.Results:In this study,9 characteristic genes with prognostic value(ENO2,P4HA1,SLC2A3,AQP1,PLS1,NXPH4,CTSG,TRAC,THBS1)were screened out and a 9-gene prognostic model was constructed.The survival rate of high-risk group based on prognostic model was significantly lower than that of low-risk group.The area under curve(AUC)of receiver operating characteristic curve(ROC)was 0.701,0.729 and 0.702 at 1 year,3 years and 5 years,respectively,which verifies that the risk model has good predictive performance.The nomogram predicted that the 1-year,3-year,and 5-year survival probabilities of OSCC patients are 89.6％,72.4％,and 63.9％respectively,and the cal-ibration curve confirmed the accuracy of the nomogram prediction.Conclusion:The 9-gene prognostic model based on CRGs screening could predict the prognosis of OSCC patients,which is helpful for clinical personalized treatment of OSCC patients and prediction of their survival rate.