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Impact of uterine artery embolization on ovarian function and pregnancy outcome after uterine-fibroids treatment:A prospective study

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World Journal of Clinical Cases 2024年第15期12卷 2551-2559页

作者： Jing-Lei Liu Zhi-Hui Liang Bao Cui Jian-Yu Liu Li Sun department of Interventional Treatment 980(Bethune International Peace)Hospital of PLA Joint Logistics Support ForcesShijiazhuang 050082Hebei ProvinceChina department of Obstetrics and Gynecology 980(Bethune International Peace)Hospital of PLA Joint Logistics Support ForcesShijiazhuang 050082Hebei ProvinceChina

Uterine fibroids are benign tumors that originate from smooth muscle cells of the *** is the most common gynecological disorder,affecting up to 80%of women of reproductive *** fibroids can cause various symptoms such as abnormal uterine bleeding,pelvic pain,infertility,and pregnancy *** treatment options for uterine fibroids include medical therapy,surgical intervention,and minimally invasive *** To compare ovarian function of women with uterine fibroids who did or did not undergo uterine artery embolization(UAE).METHODS This prospective cohort study enrolled 87 women with symptomatic uterine fibroids who underwent UAE,and 87 women with the same symptoms who did not undergo UAE but received conservative management or other *** two groups were matched for age,body mass index,parity,and baseline characteristics of uterine *** primary outcome was ovarian function that was evaluated by serum levels of follicle-stimulating hormone(FSH),luteinizing hormone(LH),estradiol(E2),and anti-Müllerian hormone(AMH),as well as ovarian reserve tests,such as antral follicle count(AFC)and ovarian volume(OV).The secondary outcome was fertility that was evaluated based on the menstrual cycle,ovulation,conception,pregnancy,and *** participants were followed-up for 36 months and assessed at 1,3,6,12,24,and 36 months after *** The study found that the most common minor complication of UAE was postembolization syndrome in 73.6% of women,resolving within a *** significant differences were observed between the UAE group and the control group in serum levels of reproductive hormones(FSH,LH,E2,AMH)and ovarian reserve indicators(AFC,OV)at any point up to 36 months ***,there were no significant differences in conception,pregnancy,or delivery rates,with the average time to conception and gestational age at delivery being similar between the two *** weights were also ***

关键词： Uterine fibroids Uterine artery embolization Ovarian function Fertility Pregnancy outcome Embolic agent

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YOLO-Based Damage Detection with StyleGAN3 Data Augmentation for Parcel Information-Recognition System

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Computers, Materials & Continua 2024年第7期80卷 195-215页

作者： Seolhee Kim Sang-Duck Lee department of Electrical and Computer Engineering Sungkyunkwan UniversitySuwon16419Republic of Korea logistics System Research Division Korea Railroad Research InstituteUiwang16105Republic of Korea

Damage to parcels reduces customer satisfactionwith delivery services and increases return-logistics *** can be prevented by detecting and addressing the damage before the parcels reach the ***,various studies have been conducted on deep learning techniques related to the detection of parcel *** study proposes a deep learning-based damage detectionmethod for various types of *** is intended to be part of a parcel information-recognition systemthat identifies the volume and shipping information of parcels,and determines whether they are damaged;this method is intended for use in the actual parcel-transportation *** this purpose,1)the study acquired image data in an environment simulating the actual parcel-transportation process,and 2)the training dataset was expanded based on StyleGAN3 with adaptive discriminator ***,3)a preliminary distinction was made between the appearance of parcels and their damage status to enhance the performance of the parcel damage detection model and analyze the causes of parcel ***,using the dataset constructed based on the proposed method,a damage type detection model was trained,and its mean average precision was *** model can improve customer satisfaction and reduce return costs for parcel delivery companies.

关键词： Parcel delivery service damage detection damage classification data augmentation generative adversarial network

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Advances in the treatment of IgA nephropathy with biological agents

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Chronic Diseases and Translational Medicine 2024年第1期10卷 1-11页

作者： Yongze Zhuang Hailing Lu Junxia Li department of Nephrology 900 Hospital of the Joint Logistics TeamPLAFuzhou General Clinical Medical CollegeFujian Medical UniversityFuzhouFujianChina

Immunoglobulin A nephropathy(IgAN)is the most common primary glomerular disease,and the“four-hit”theory represents its currently accepted pathogenic *** immunity triggered by infections in the respiratory tract,intestines,or other areas leads to antigen presentation,T cell stimulation,B cell maturation,and the production of IgA-producing plasma *** proteins B-lymphocyte stimulator(BLyS)and a proliferation-inducing ligand(APRIL)are involved in this process,and alternative complement and lectin pathway activation are also part of the pathogenic *** Disease Improving Global Outcomes guidelines indicate that a specific effective treatment for IgAN is lacking,with renin-angiotensin-aldosterone system inhibitors being the primary *** research shows that biological agents can significantly reduce proteinuria,stabilize the estimated glomerular filtration rate,and reverse some pathological changes,such as endocapillary proliferation and crescent *** are four main categories of biological agents used to treat IgA nephropathy,specifically anti-CD20 monoclonal antibodies,anti-BLyS or APRIL monoclonal antibodies,monoclonal antibodies targeting both BLyS and APRIL(telitacicept and atacicept),and monoclonal antibodies inhibiting complement system activation(narsoplimab and eculizumab).However,further research on the dosages,treatment duration,long-term efficacy,and safety of these biological agents is required.

关键词： anti-CD20 monoclonal antibodies APRIL biological agents BLyS complement IgAnephropathy

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RepDNet:A re-parameterization despeckling network for autonomous underwater side-scan sonar imaging with prior-knowledge customized convolution

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Defence Technology（防务技术） 2024年第5期35卷 259-274页

作者： Zhuoyi Li Zhisen Wang Deshan Chen Tsz Leung Yip Angelo P.Teixeira department of logistics and Maritime Studies The Hong Kong Polytechnic UniversityChina State Key Laboratory of Maritime Technology and Safety Wuhan University of TechnologyChina School of Transportation and logistics Engineering Wuhan University of TechnologyChina National Engineering Research Center for Water Transport Safety Wuhan University of TechnologyChina Centre for Marine Technology and Ocean Engineering(CENTEC) Instituto Superior TecnicoUniversidade de LisboaPortugal

Side-scan sonar(SSS)is now a prevalent instrument for large-scale seafloor topography measurements,deployable on an autonomous underwater vehicle(AUV)to execute fully automated underwater acoustic scanning imaging along a predetermined ***,SSS images often suffer from speckle noise caused by mutual interference between echoes,and limited AUV computational resources further hinder noise *** approaches for SSS image processing and speckle noise reduction rely heavily on complex network structures and fail to combine the benefits of deep learning and domain *** address the problem,Rep DNet,a novel and effective despeckling convolutional neural network is *** DNet introduces two re-parameterized blocks:the Pixel Smoothing Block(PSB)and Edge Enhancement Block(EEB),preserving edge information while attenuating speckle *** training,PSB and EEB manifest as double-layered multi-branch structures,integrating first-order and secondorder derivatives and smoothing *** inference,the branches are re-parameterized into a 3×3 convolution,enabling efficient inference without sacrificing *** DNet comprises three computational operations:3×3 convolution,element-wise summation and Rectified Linear Unit *** on benchmark datasets,a real SSS dataset and Data collected at Lake Mulan aestablish Rep DNet as a well-balanced network,meeting the AUV computational constraints in terms of performance and latency.

关键词： Side-scan sonar Sonar image despeckling Domain knowledge Re-parameterization

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An Optimization Approach of IoD Deployment for Optimal Coverage Based on Radio Frequency Model

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Computer Modeling in Engineering & Sciences 2024年第6期139卷 2627-2647页

作者： Tarek Sheltami Gamil Ahmed Ansar Yasar Computer Engineering department Interdisciplinary Research Center of Smart Mobility and LogisticsKing Fahd University of Petroleum and MineralsDhahran31261Saudi Arabia Transportation Research Institute(IMOB) Hasselt UniversityHasselt3500Belgium

Recently,Internet of Drones(IoD)has garnered significant attention due to its widespread ***,deploying IoD for area coverage poses numerous limitations and *** include interference between neighboring drones,the need for directional antennas,and altitude restrictions for *** challenges necessitate the development of efficient *** research paper presents a cooperative decision-making approach for an efficient IoDdeployment to address these challenges *** primary objective of this study is to achieve an efficient IoDdeployment strategy thatmaximizes the coverage regionwhile minimizing interference between neighboring *** deployment problem,the interference increases as the number of deployed drones increases,resulting in bad quality of *** the other hand,deploying a few drones cannot satisfy the coverage *** accomplish this,an enhanced version of a concise population-based meta-heuristic algorithm,namely Improved Particle SwarmOptimization(IPSO),is *** objective function of IPSO is defined based on the coverage probability,which is primarily influenced by the characteristics of the antennas and drone altitude.A radio frequency(RF)model is derived to evaluate the coverage quality,considering both Line of Sight(LOS)and Non-Line of Sight(NLOS)down-link coverage probabilities for ground *** is assumed that each drone is equipped with a directional antenna to optimize coverage in a given *** simulations are conducted to assess the effectiveness of the proposed *** demonstrate that the proposed method achieves maximum coverage with minimum transmission ***,a comparison is made against Collaborative Visual Area Coverage Approach(CVACA),and a game-based approach in terms of coverage quality and convergence *** simulation results reveal that our approach outperforms both CVACA and the gamebased schemes in terms of coverage an

关键词： IoD line of sight optimal deployment IPSO RF model

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A hybrid data-mining framework for train rescheduling strategy pattern discovery

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Transportation Safety and Environment 2024年第1期6卷 56-67页

作者： Ruirui Chen Xuekai Ge Ping Huang Chao Wen School of Transportation&logistics Southwest Jiaotong UniversityChengdu 611756China department of IT Operational Technology CN RailWaterloo N2V2R1Canada

This study presents a hybrid data-mining framework based on feature selection algorithms and clustering methods to perform the pattern discovery of high-speed railway train rescheduling strategies(RSs).The proposed model is composed of two *** the first state,decision tree,random forest,gradient boosting decision tree(GBDT)and extreme gradient boosting(XGBoost)models are used to investigate the importance of *** features that have a high influence on RSs are first *** the second state,a K-means clustering method is used to uncover the interdependences between RSs and the influencing features,based on the results in the first *** proposed method can determine the quantitative relationships between RSs and influencing *** results clearly show the influences of the factors on RSs,the possibilities of different train operation RSs under different situations,as well as some key time periods and key trains that the controllers should pay more attention *** research in this paper can help train traffic controllers better understand the train operation patterns and provides direction for optimizing rail traffic RSs.

关键词： high-speed railway rescheduling strategy pattern discovery feature identification clustering algorithm

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Zinc(II)metal-organic framework eluting titanium implant as propulsive agent to boost the endothelium regeneration

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Frontiers of Chemical Science and Engineering 2024年第6期18卷 123-131页

作者： Wen Liu Xiaoyu Wang Ying Li Shihai Xia Wencheng Zhang Yakai Feng School of Chemical Engineering and Technology Tianjin UniversityTianjin 300350China College of Materials Science and Engineering Qingdao UniversityQingdao 266071China department of Hepatopancreatobiliary and Splenic Medicine Affiliated HospitalLogistics University of People’s Armed Police ForceTianjin 300162China department of Physiology and Pathophysiology Logistics University of Chinese People’s Armed Police ForceTianjin 300309China Frontiers Science Center for Synthetic Biology Tianjin UniversityTianjin 300072China Key Laboratory of Systems Bioengineering(Ministry of Education) Tianjin UniversityTianjin 300072China

The advent of antiproliferative drug-eluting vascular stents can dramatically reduce in-stent restenosis via inhibiting the hyperproliferation of vascular smooth muscle ***,the antiproliferative drugs also restrain the repair of the injured endothelial layer,which in turn leads to the very later in-stent *** points that competent endothelium plays a critical role in guaranteeing the long-term patency via maintaining vascular *** the regeneration of endothelium on the implanted vascular stents could be rendered as a promising strategy to reduce stent implantation *** this regard,bioactive zinc(II)metal-organic framework modified with endothelial cell-targeting Arg-Glu-Asp-Val peptide was embedded in poly(lactide-co-caprolactone)to serve as a functional coating on the surface of titanium substrate,which can promote the proliferation and migration of endothelial *** in vitro cell experiments revealed that the zinc(II)metal-organic framework embedded in the polymer coating was able to modulate the behaviors of endothelial cells owing to the bioactive effects of zinc ion and *** results confirmed that zinc(II)metal-organic framework eluting coating represented a new possibility for promoting the repair of the damaged endothelium with potential clinical implications in vascular-related biomaterials and tissue engineering applications.

关键词： Zinc(II)metal-organic framework vascular stent REDV peptide endothelium regeneration coating

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Effects of traditional Chinese medicine on treatment outcomes in severe COVID-19 patients:a single-centre study

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Chinese Journal of Natural Medicines 2024年第1期22卷 89-96页

作者： XIAO Yongjiu LI Binbin LIU Chang HUANG Xiuyu MA Ling QIAN Zhirong ZHANG Xiaopeng ZHANG Qian LI Dunqing CAI Xiaoqing YAN Xiangyong LUO Shuping XIANG Dawei XIAO Kun Emergency department the 940th Hospital of Jiont Logistics Support Force of Chinese People’s Liberation ArmyLanzhou 730050China Scientific Research Center the Seventh Affiliated HospitalSun Yat-sen UniversityShenzhen 518000China School of Medicine Nankai universityTianjin 300000China department of Cardiology the 940th Hospital of Joint Logistics Support Force of Chinese People’s Liberation ArmyLanzhou 730050China department of Radiation Oncology Fujian Medical University Union HospitalFuzhou 350000China department of Traditional Chinese Medicine the 940th Hospital of Joint Logistics Support Force of Chinese People’s Liberation ArmyLanzhou 730050China department of Geriatric Diseases the Seventh Medical Center of Chinese PLA General HospitalBeijing 100700China Health and Sport Administration Muskingum UniversityOhioanUSA Laboratory of Vaccine and Antibody Engineering Beijing Institute of BiotechnologyBeijing 100071China department of Pulmonary and Critical Care Medicine the 940th Hospital of Joint Logistics Support Force of Chinese People’s Liberation ArmyLanzhou 730050China Center of Pulmonary&Critical Care Medicine Chinese People’s Liberation Army(PLA)General HospitalBeijing 100853China

As the search for effective treatments for COVID-19 continues,the high mortality rate among critically ill patients in Intensive Care Units(ICU)presents a profound *** study explores the potential benefits of traditional Chinese medicine(TCM)as a supplementary treatment for severe COVID-19.A total of 110 critically ill COVID-19 patients at the Intensive Care Unit(ICU)of Vulcan Hill Hospital between Feb.,2020,and April,2020(Wuhan,China)participated in this observational *** patients received standard supportive care protocols,with a subset of 81 also receiving TCM as an adjunct *** characteristics during the treatment period and the clinical outcome of each patient were closely monitored and *** findings indicated that the TCM group exhibited a significantly lower mortality rate compared with the non-TCM group(16 of 81 vs 24 of 29;0.3 vs 2.3 person/month).In the adjusted Cox proportional hazards models,TCM treatment was associated with improved survival odds(P<0.001).Furthermore,the analysis also revealed that TCM treatment could partially mitigate inflammatory responses,as evidenced by the reduced levels of proinflammatory cytokines,and contribute to the recovery of multiple organic functions,thereby potentially increasing the survival rate of critically ill COVID-19 patients.

关键词： COVID-19 Pneumonia Novel coronavirus Critically ill Traditional Chinese medicine Clinical outcome

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The joint knowledge reasoning model based on knowledge representation learning for aviation assembly domain

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Science China(Technological Sciences) 2024年第1期67卷 143-156页

作者： LIU PeiFeng QIAN Lu LU Hu XUE Lei ZHAO XingWei TAO Bo State Key Laboratory of Digital Manufacturing Equipment and Technology Department of MechanicalHuazhong University of Science and TechnologyWuhan 430074China School of Transportation and logistics Engineering Wuhan University of Technology(WHUT)Wuhan 430063China Shanghai Aircraft Manufacturing Co. Ltd.Shanghai 201324China

Knowledge graph technology is widely applied in the domain of general knowledge reasoning with an excellent *** fine-grained professional fields,professional knowledge graphs can provide more accurate information in practical industrial *** on an aviation assembly domain-specific knowledge graph,the article constructs a joint knowledge reasoning model,which combines a named entity recognition model and a subgraph embedding learning *** performing knowledge reasoning tasks,the two models vectorize entities,relationships and entity attributes in the same space,so as to share parameters and optimize learning *** knowledge reasoning model,which provides intelligent question answering services,is able to reduce the assembly error rate and improve the assembly *** system can accurately solve general knowledge reasoning problems in the assembly process in actual industrial scenarios of general assembly and component assembly under interference-free ***,this paper compares the proposed knowledge reasoning model based on knowledge representation learning and the question-answering system based on large-scale pre-trained *** the application scenario of system functional testing in general assembly,the joint model attains an accuracy rate of 95%,outperforming GPT with 78%accuracy and enhanced representation through knowledge integration with 71%accuracy.

关键词： intelligent manufacturing knowledge graph aviation assembly knowledge representation knowledge-based question an-swering

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Decreased AKAP4/PKA signaling pathway in high DFI sperm affects sperm capacitation

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Asian Journal of Andrology 2024年第1期26卷 25-33页

作者： Kun Zhang Xiu-Hua Xu Jian Wu Ning Wang Gang Li Gui-Min Hao Jin-Feng Cao Hebei Key Laboratory of Infertility and Genetics Department of Reproductive MedicineSecond Hospital of Hebei Medical UniversityShijiazhuang 050000China department of Reproductive Medicine Affiliated Hospital of Xuzhou Medical UniversityXuzhou 221000China department of Neurology The 980th Hospital of the People's Liberation Army Joint Logistics Support Force(Bethune International Peace Hospital)Shijiazhuang 050000China.

The sperm DNA fragmentation index(DFI)is a metric used to assess DNA fragmentation within *** in vitro fertilizationembryo transfer(IVF-ET),high sperm DFI can lead to a low fertilization rate,poor embryo development,early miscarriage,etc.A kinase anchoring protein(AKAP)is a scaffold protein that can bind protein kinase A(PKA)to subcellular sites of specific substrates and protects the biophosphorylation *** protein antigen 17(SPA17)can also bind to *** study intends to explore the reason for the decreased fertilization rate observed in high sperm DFI(H-DFI)patients during *** addition,the study investigates the expression of AKAP,protein kinase A regulatory subunit(PKARIl),and SPA17 between H-DFI and low sperm DFI(L-DFI)***17 at the transcriptional level is abnormal,the translational level increases in H-DFI patients,and the expression of AKAP4/PKARIl protein decreases.H,O,has been used to simulate oxidative stress damage to spermatozoa during the formation of sperm *** indicates that H,O,increases the expression of sperm SPA17 protein and suppresses AKAP4/PKARIl protein *** processes inhibit sperm capacitation and reduce acrosomal *** culture data and IVF outcomes have been *** H-DFI group has a lower fertilization ***,the results indicate that the possible causes for the decreased fertilization rate in the H-DFI patients have included loss of sperm AKAP4/PKARIl proteins,blocked sperm capacitation,and reduced occurrence of acrosome reaction.

关键词： AKAP PKA SPA17 sperm capacitation sperm DNA fragmentation index

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