Objective To propose a dynamic electrical impedance tomography imaging algorithm based on complementary information fusion network(CIFN)to enhance image quality of dynamic electrical impedance imaging.Methods There were three modules for initialization,multi-frame complementary information extraction and information fusion involved in the CIFN.Firstly,multi-frame dynamic conductivity distribution images were obtained by the initialization module;secondly,spatial complementary information was extracted from the images by using the multi-frame complementary information extraction module;finally,the fusion of lesion target distribution information and target re-reconstruction were realized by the information fusion module to aquire high-quality EIT images.With a 16-electrode multilayer cranial simulation model,the CIFN-based imaging method was compared with Tikhonov regularization algorithm,spectral constraint algorithm and U-Net algorithm in terms of imaging results of types of lesions to verify its performance.Results Compared with the Tikhonov regularization algorithm,spectral constraint algorithm and U-Net algorithm,the proposed CIFN-based algorithm exhibited the lowest mean absolute error(MAE)and the highest structural similarity(SSIM)when used to image different lesion targets,which accurately reconstructed the distribution of lesion targets and gained high imaging stability under common noise levels.Conclusion The proposed CIFN-based imaging algorithm obtains high imaging quality on a cranial simulation model and reconstruction results close to the real model distribution,which provides algorithmic support for subsequent clinical studies on electrical impedance imaging.[Chinese Medical Equipment Journal,2025,46(6):1-6]

Objective To investigate the status of population dynamics and distribution changes of Aedes aegypti in Guangdong Province.Methods Continuous monitoring was conducted from May 2018 to July 2024 in Wushi Town and Qishui Town,Leizhou City,Zhanjiang City,Guangdong Province.Additionally,a survey of the distribution of Ae.aegypti along the Leizhou Peninsula coast was carried out.Results The density of Ae.aegypti in Zhanjiang showed a gradual decline from 2018 to 2024.The last detection of adult Ae.aegypti in Wushi Town was in September 2021,and the last larva was found in October 2023.No Ae.aegypti was detected in Qishui Town during surveys from 2021 to 2024.A survey of 18 coastal villages in the Leizhou Peninsula revealed no detections of Ae.aegypti.Conclusions This study provides a basis for understanding the distribution and population density fluctuations of Ae.aegypti,assessing its invasion risk,and scientifically conducting relevant prevention and control efforts.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective:To explore the clinical efficacy of metoprolol combined with trimetazidine on elderly patients with coronary heart disease(CHD)and chronic heart failure(CHF).Methods:This randomized controlled trial enrolled 120 elderly CHD+CHF patients admitted to Army 73rd Group Military Hospital of Chinese PLA between June 2020 and June 2023.Patients were divided into control group(metoprolol based on routine treatment)and in-tervention group(additional trimetazidine therapy).Each group consisted of 60 patients,treated for 1 month.The clinical efficacy,left ventricular ejection fraction(LVEF),cardiac index(CI),left ventricular end-systolic diame-ter(LVESd),left ventricular end-diastolic diameter(LVEDd),serum levels of brain natriuretic peptide(BNP),high sensitive C-reactive protein(hsCRP),platelet a granule membrane protein-140(GMP-140),intercellular adhesion molecule-1(ICAM-1)and growth differentiation factor 15(GDF-15),and incidence of adverse reac-tions were compared between the two groups.Results:The total effective rate of the intervention group was significant-ly higher than that of the control group(95.00％vs.81.67％,P=0.023).Compared to patients in the control group,those in the intervention group had significant lower LVESd[(35.03±5.14)mm vs.(40.63±3.87)mm],LVEDd[(43.53±4.27)mm vs.(48.36±5.22)mm],levels of BNP[(94.35±7.55)pg/ml vs.(127.86±45.11)pg/ml],hsCRP[(0.91±0.28)mg/L vs.(1.47±0.52)mg/L],GMP-140[(7.14±1.06)μg/L vs.(9.37±1.59)μg/L],ICAM-1[(43.81±5.75)pg/ml vs.(52.74±5.83)pg/ml]andGDF-15[(891.46±62.51)pg/ml vs.(1025.57±110.08)pg/ml],and significant higher LVEF[(55.62±5.11)％vs.(47.35±8.61)％]and CI[(3.41±0.38)L·min-1·m-2 vs.(3.08±0.31)L·min-1·m-2](P＜0.001 all).There was no significant difference in the total inci-dence of adverse reactions between the intervention group and control group(8.33％vs.11.67％,P=0.543).Conclu-sion:Metoprolol combined trimetazidine may relieve myocardial inflammatory response and injury,and inhibit ventricular remodeling,thereby improve cardiac function in elderly patients with CHD and CHF.

Nonobstructive azoospermia (NOA), one of the most severe types of male infertility, etiology often remains unclear in most cases. Therefore, this study aimed to detect four biallelic detrimental variants (0.5%) in the minichromosome maintenance domain containing 2 ( MCMDC2 ) genes in 768 NOA patients by whole-exome sequencing (WES). Hematoxylin and eosin (H&E) demonstrated that MCMDC2 deleterious variants caused meiotic arrest in three patients (c.1360G>T, c.1956G>T, and c.685C>T) and hypospermatogenesis in one patient (c.94G>T), as further confirmed through immunofluorescence (IF) staining. The single-cell RNA sequencing data indicated that MCMDC2 was substantially expressed during spermatogenesis. The variants were confirmed as deleterious and responsible for patient infertility through bioinformatics and in vitro experimental analyses. The results revealed four MCMDC2 variants related to NOA, which contributes to the current perception of the function of MCMDC2 in male fertility and presents new perspectives on the genetic etiology of NOA.
Humans ; Male ; Azoospermia/genetics* ; Meiosis/genetics* ; Spermatogenesis/genetics* ; Adult ; Exome Sequencing ; Microtubule-Associated Proteins/genetics* ; Alleles ; Infertility, Male/genetics*

Objective:To explore the clinical efficacy of metoprolol combined with trimetazidine on elderly patients with coronary heart disease(CHD)and chronic heart failure(CHF).Methods:This randomized controlled trial enrolled 120 elderly CHD+CHF patients admitted to Army 73rd Group Military Hospital of Chinese PLA between June 2020 and June 2023.Patients were divided into control group(metoprolol based on routine treatment)and in-tervention group(additional trimetazidine therapy).Each group consisted of 60 patients,treated for 1 month.The clinical efficacy,left ventricular ejection fraction(LVEF),cardiac index(CI),left ventricular end-systolic diame-ter(LVESd),left ventricular end-diastolic diameter(LVEDd),serum levels of brain natriuretic peptide(BNP),high sensitive C-reactive protein(hsCRP),platelet a granule membrane protein-140(GMP-140),intercellular adhesion molecule-1(ICAM-1)and growth differentiation factor 15(GDF-15),and incidence of adverse reac-tions were compared between the two groups.Results:The total effective rate of the intervention group was significant-ly higher than that of the control group(95.00％vs.81.67％,P=0.023).Compared to patients in the control group,those in the intervention group had significant lower LVESd[(35.03±5.14)mm vs.(40.63±3.87)mm],LVEDd[(43.53±4.27)mm vs.(48.36±5.22)mm],levels of BNP[(94.35±7.55)pg/ml vs.(127.86±45.11)pg/ml],hsCRP[(0.91±0.28)mg/L vs.(1.47±0.52)mg/L],GMP-140[(7.14±1.06)μg/L vs.(9.37±1.59)μg/L],ICAM-1[(43.81±5.75)pg/ml vs.(52.74±5.83)pg/ml]andGDF-15[(891.46±62.51)pg/ml vs.(1025.57±110.08)pg/ml],and significant higher LVEF[(55.62±5.11)％vs.(47.35±8.61)％]and CI[(3.41±0.38)L·min-1·m-2 vs.(3.08±0.31)L·min-1·m-2](P＜0.001 all).There was no significant difference in the total inci-dence of adverse reactions between the intervention group and control group(8.33％vs.11.67％,P=0.543).Conclu-sion:Metoprolol combined trimetazidine may relieve myocardial inflammatory response and injury,and inhibit ventricular remodeling,thereby improve cardiac function in elderly patients with CHD and CHF.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective To propose a dynamic electrical impedance tomography imaging algorithm based on complementary information fusion network(CIFN)to enhance image quality of dynamic electrical impedance imaging.Methods There were three modules for initialization,multi-frame complementary information extraction and information fusion involved in the CIFN.Firstly,multi-frame dynamic conductivity distribution images were obtained by the initialization module;secondly,spatial complementary information was extracted from the images by using the multi-frame complementary information extraction module;finally,the fusion of lesion target distribution information and target re-reconstruction were realized by the information fusion module to aquire high-quality EIT images.With a 16-electrode multilayer cranial simulation model,the CIFN-based imaging method was compared with Tikhonov regularization algorithm,spectral constraint algorithm and U-Net algorithm in terms of imaging results of types of lesions to verify its performance.Results Compared with the Tikhonov regularization algorithm,spectral constraint algorithm and U-Net algorithm,the proposed CIFN-based algorithm exhibited the lowest mean absolute error(MAE)and the highest structural similarity(SSIM)when used to image different lesion targets,which accurately reconstructed the distribution of lesion targets and gained high imaging stability under common noise levels.Conclusion The proposed CIFN-based imaging algorithm obtains high imaging quality on a cranial simulation model and reconstruction results close to the real model distribution,which provides algorithmic support for subsequent clinical studies on electrical impedance imaging.[Chinese Medical Equipment Journal,2025,46(6):1-6]