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工程与科学中的计算机建模(英文) 2024年第1期138卷 221-243页

作者： Feng Shen Yang Zhao Bingyi li Kai Wu School of Civil Engineering Suzhou University of Science and TechnologySuzhou215011China R&D Department Suzhou Jcon Greenbuild Fabricated Co.Ltd.Suzhou215004China

The calculation of the factor of safety(FOS)is an important means of slope *** paper proposed an improved double strength reductionmethod(DRM)to analyze the safety of layered *** physical properties of different soil layers of the slopes are different,so the single coefficient strength reduction method(SRM)is not enough to reflect the actual critical state of the *** that the water content of the soil in the natural state is the main factor for the strength of the soil,the attenuation law of shear strength of clayey soil changing with water content is *** paper also establishes the functional relationship between different reduction ***,a USDFLD subroutine is programmed using the secondary development function of finite element *** the relationship between field variables and calculation time realizes double strength reduction applicable to the layered ***,by comparing the calculation results of different examples,it is proved that the stress and displacement distribution of the critical slope state obtained by the improved method is more realistic,and the calculated safety factor is more *** newly proposedmethod considers the difference of intensity attenuation between different soil layers under natural conditions and avoids the disadvantage of the strength reduction method with uniform parameters,which provides a new idea and method for stability analysis of layered and complex slopes.

关键词： Double strength reduction slopes stability water content factor of safety numerical methods

The Application of Extended Reality in Treating Children with Autism Spectrum Disorder

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Neuroscience Bulletin 2024年第8期40卷 1189-1204页

作者： Weijia Zhao Song Xu Yanan Zhang Dandan li Chunyan Zhu Kai Wang First Clinical Medical College Anhui Medical UniversityHefei 230032China School of Biomedical Engineering Anhui Medical UniversityHefei 230032China School of Mental Health and Psychological Sciences Anhui Medical UniversityChinaHefei 230032China Research Center for Translational Medicine The Second Hospital of Anhui Medical UniversityHefei 230000China Department of Neurology The First Affiliated Hospital of Anhui Medical UniversityHefei 230032China Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health Hefei 230032China Institute of Artificial Intelligence Hefei Comprehensive National Science CenterHefei 230088China Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders Hefei 230032China

Autism Spectrum Disorder(ASD)is a common neurodevelopmental disorder in children,characterized by social interaction,communication difficulties,and repetitive and stereotyped *** intervention methods have limitations,such as requiring long treatment periods and needing to be more convenient to *** Reality(XR)technology offers a virtual environment to enhance children's social,communication,and self-regulation *** paper compares XR theoretical models,application examples,and intervention *** study reveals that XR intervention therapy is mainly based on cognitive rehabilitation,teaching,and social-emotional learning *** utilizes algorithms,models,artificial intelligence(AI),eye-tracking,and other technologies for interaction,achieving diverse intervention *** showed effective improvement in competency barriers using XR-based multimodal interactive ***,Mixed Reality(MR)technology still requires further *** research should explore multimsodal interaction technologies combining XR and AI,optimize models,prioritize the development of MR intervention scenarios,and sustain an optimal intervention level.

关键词： Autism spectrum disorde Extended reality Multimodal interaction technologies Intervention model Treatment effectiveness evaluation

Alterations in nasal microbiota of patients with amyotrophic lateral sclerosis

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Chinese Medical Journal 2024年第2期137卷 162-171页

作者： Kaixiong liu Qifu Guo Ying Ding li Luo Jianchai Huang Qijie Zhang Department of Respiratory and Critical Care Medicine The First Affiliated HospitalFujian Medical UniversityFuzhouFujian 350005China Department of Respiratory and Critical Care MedicineNational Regional Medical CenterBinhai Campus of The First Affiliated HospitalFujian Medical UniversityFuzhouFujian 350212China Department of Neurology Fujian Institute of NeurologyThe First Affiliated HospitalFujian Medical UniversityFuzhouFujian 350005China Department of NeurologyNational Regional Medical CenterBinhai Campus of The First Affiliated HospitalFujian Medical UniversityFuzhouFujian 350212China

Background:links between alterations in gut microbiota composition and amyotrophic lateral sclerosis(ALS)have previously been *** study aimed to examine the microbiota in the nasal cavity of ***:Sixty-six ALS patients and 40 healthy caregivers who live in close proximity with patients were *** throughput metagenomic sequencing of the 16S ribosomal deoxyribonucleic acid(rDNA)gene V3-V4 region of nasal microbiota was used to characterize the alpha and beta diversity and relative abundance of bacterial taxa,predict function,and conduct correlation analysis between specific taxa and clinical ***:The nasal microbiome of ALS patients showed lower alpha diversity than that of corresponding healthy family *** Gaiella,Sphingomonas,Polaribacter_1,Lachnospiraceae_NK4A136_group,Klebsiella,and Alistipes were differentially enriched in ALS patients compared to *** microbiota composition in ALS patients significantly differed from that in healthy subjects(unweighted UniFrac P=0.001),while linear discriminant analysis Effect Size(LEfSe)analysis indicated that Bacteroidetes and Firmicutes dominated healthy nasal communities at the phylum level,whereas Actinobacteria was the predominant phylum and Thermoleophilia was the predominant class in ALS *** Faecalibacterium and Alistipes were positively correlated with ALS functional rating scale revised(ALSFRS-R;r_(s)=0.349,P=0.020 and r_(s)=0.393,P=0.008),while Prevotella-9 and Bacteroides operational taxonomic units(OTUs)were positively associated with lung function(FVC)in ALS patients(r_(s)=0.304,P=0.045,and r_(s)=0.300,P=0.048,respectively).Prevotella-1 was positively correlated with white blood cell counts(WBC,r_(s)=0.347,P=0.021),neutrophil percentage(Neu%,r_(s)=0.428,P=0.004),and neutrophil-to-lymphocyte ratio(NLR,r_(s)=0.411,P=0.006),but negatively correlated with lymphocyte percentage(Lym%,r_(s)=-0.408,P=0.006).In contrast,Streptococcus was negatively associa

关键词： Amyotrophic lateral sclerosis Nasal microbiota Dysbiosis Inflammation

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CircTHSD4 promotes the malignancy and docetaxel (DTX) resistance in prostate cancer by regulating miR-203/HMGA2 axis

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Oncology Research 2024年第3期32卷 529-544页

作者： JIANYUN XIE liNIE LU JIAli ZHANG QIRUI li WEIDONG CHEN Depatment of Urology The Affliated People's Hospital of Fujian University of Traditional Chinese MedicineFuzhouChina Department of Internal Medicine Outpatient ainic The Afliated People's Hospital of Fujian University of Traditional Chinese MedicineFuzhouChina

Objective:Circular ribose nudeic acids(circRNAs)are implicated in tumor progression and drug resistance of prostate cancer(PCa).The current work explored the function of circ_0005203(aircTHSD4)in the malignancy and docetaxel(DTX)resistance of ***:circTHSD4 expression within PCa as well as matched non-carcinoma samples was measured through real time reverse transcription quantitative polymerase chain reaction(RT-qPCR).In addition,a subcellular fraction assay was conducted to determine circTHSD4 subcellular localization within PCa *** addition,we performed a Western blot(WB)assay to detect high *** A2 protein(HMGA2)***,functional associations of two molecules were investigated through dual luciferase reporter *** Counting Kit(CCK)-8,colony formation together with Transwell assay was conducted to assess malignant phenotypes of PCa cells,whereas flow cytometry was performed to determine cell ***,a xenograft mouse model was constructed to verify the effect of circTHSD4 on the carcinogenesis of PCa ***:According to RT-qPCR results,circTHSD4 was up-regulated within PCa tissues and cells,which predicted the dismal prognostic outcome of PCa ***4 silencing within PCa cells markedly suppressed cell growth,migration,and colony ***4 silencing remarkably elevated PCa cell apoptosis and carcinogenesis within the xenograft ***,circTHSD4 silencing enhanced docetaxel(DTX)sensitivity in PCa ***,we demonstrated that circTHSD4 modulated the malignancy of PCa cells by regulating HMGA2 expression through sponging miR ***:Together,our findings suggest that cirCTHSD4 overexpression could promote the malignant phenotype and DTX resistance in PCa through the regulation of the miR 203/HMGA2 axis.

关键词： circTHSD4 Docetaxel resistance Prostate cancer miR-203 HMGA2

lipid nanovehicles overcome barriers to systemic RNA delivery: lipid components, fabrication methods, and rational design

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Acta Pharmaceutica Sinica B 2024年第2期14卷 579-601页

作者： Jing Yan Hao Zhang Guangfeng li Jiacan Su Yan Wei Can Xu Institute of Translational Medicine Shanghai UniversityShanghai 200444China Institute of Medicine Shanghai UniversityShanghai 200444China Department of Orthopedics Xinhua HospitalShanghai Jiao Tong University School of MedicineShanghai 200092China Department of Orthopedics Shanghai Zhongye HospitalShanghai 200941China Organoid Research Center Shanghai UniversityShanghai 200444China Department of Gastroenterology Changhai HospitalShanghai 200433China

lipid nanovehicles are currently the most advanced vehicles used for RNA delivery,as demonstrated by the approval of patisiran for amyloidosis therapy in *** illuminate the unique superiority of lipid nanovehicles in RNA delivery,in this review,we first introduce various RNA therapeutics,describe systemic delivery barriers,and explain the lipid components and methods used for lipid nanovehicle ***,we emphasize crucial advances in lipid nanovehicle design for overcoming barriers to systemic RNA ***,the current status and challenges of lipid nanovehicle-based RNA therapeutics in clinical applications are also *** objective is to provide a comprehensive overview showing how to utilize lipid nanovehicles to overcome multiple barriers to systemic RNA delivery,inspiring the development of more high-performance RNA lipid nanovesicles in the future.

关键词： lipid nanovehicles RNAtherapeutics Barriers to systemicRNA delivery lipid components Fabricationmethods lipid nanovehicledesign Extrahepatictissue targeting Organ tropism

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Wavelet-domain feature decoupling for weakly supervised multi-object tracking

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Science China(Information Sciences) 2024年第8期67卷 339-340页

作者： Yu-Lei li Yan YAN Yang LU Hanzi WANG Fujian Key Laboratory of Sensing and Computing for Smart City School of InformaticsXiamen University

Multi-object tracking(MOT) aims to discover interesting foreground targets and meanwhile generate robust trajectories of these targets with different data association algorithms based on identity embedding features(Re-ID features) [1] or motion cues [2]. During the past few decades,some advanced MOT methods have achieved considerable progress due to their wide range of applications in modern autonomous driving and intelligent video analysis.

关键词： Tracking (position)

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Retinal Vascular Imaging Application in Women’s Reproductive Health:Clinical Implications and Future Directions

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Maternal-Fetal Medicine 2024年第2期6卷 92-96页

作者： Beth Shi Yu lim ling-Jun li Yong Loo lin School of Medicine National University of SingaporeSingapore 117597Singapore Department of Obstetrics&Gynaecology Yong Loo Lin School of MedicineNational University of SingaporeSingapore 119228Singapore Global Centre for Asian Women’s Health Human Potential Translational Research ProgrammeYong Loo Lin School of MedicineNational University of SingaporeSingapore 117597Singapore NUS Bia-Echo Asia Centre for Reproductive Longevity and Equality(ACRLE) Yong Loo Lin School of MedicineNational University of SingaporeSingapore 117456Singapore Singapore Eye Research Institute Singapore National Eye CentreSingapore 168751Singapore

Over the past two decades,population-based studies employing semiautomatic computer-assisted programs have uncovered associations between retinal microvascular features and various systemic *** the recognition of retinal imaging in cardiometabolic health grows,there is increasing evidence supporting its application in women’s health,particularly during the reproductive *** review aims to summarize the indications of retinal imaging in women’s health and intergenerational health,where suboptimal retinal imaging has been found to mirror pathological systemic changes,such as suboptimal hemodynamic circulation,inflammation,endothelial dysfunction,oxidative stress,and hypoxia in *** from Singapore Growing Up in Singapore Towards Healthy Outcomes and Singapore Preconception Study of Long-Term Maternal and Child Outcomes cohorts have reported serial changes in retinal conventional microvascular features(e.g.,retinal arteriolar narrowing,retinal venular widening)and retinal geometric microvascular features(e.g.,sparse fractal dimension,enlarged branching angle,and increased curvature tortuosity)during the preconception and antenatal *** morphological abnormalities were found to be related to female fertility,maternal antenatal health conditions,postnatal maternal cardiometabolic health,and intergenerational health in the *** the compelling evidence of the ability to detect microvascular changes through noninvasive methods at an early stage,retinal imaging holds the potential to facilitate timely interventions,mitigate the progression of complications,and prevent adverse pregnancy *** ahead,the convergence of artificial intelligence and advanced imaging techniques heralds a promising era in women’s health research and clinical practice.

关键词： Retinal vascular imaging Reproductive health

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Two Stages Segmentation Algorithm of Breast Tumor in DCE-MRI Based on Multi-Scale Feature and Boundary Attention Mechanism

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Computers, Materials & Continua 2024年第7期80卷 1543-1561页

作者： Bing li liangyu Wang Xia liu Hongbin Fan Bo Wang Shoudi Tong School of Automation Harbin University of Science and TechnologyHarbin150080China Heilongjiang Provincial Key Laboratory of Complex Intelligent System and Integration Harbin150080China School of Computer Engineering Technology Guangdong Institute of Science and TechnologyZhuhai519090China

Nuclearmagnetic resonance imaging of breasts often presents complex *** tumors exhibit varying sizes,uneven intensity,and indistinct *** characteristics can lead to challenges such as low accuracy and incorrect segmentation during tumor ***,we propose a two-stage breast tumor segmentation method leveraging multi-scale features and boundary attention ***,the breast region of interest is extracted to isolate the breast area from surrounding tissues and ***,we devise a fusion network incorporatingmulti-scale features and boundary attentionmechanisms for breast tumor *** incorporate multi-scale parallel dilated convolution modules into the network,enhancing its capability to segment tumors of various sizes through multi-scale convolution and novel fusion ***,attention and boundary detection modules are included to augment the network’s capacity to locate tumors by capturing nonlocal dependencies in both spatial and channel ***,a hybrid loss function with boundary weight is employed to address sample class imbalance issues and enhance the network’s boundary maintenance capability through additional *** was evaluated using breast data from 207 patients at RuijinHospital,resulting in a 6.64%increase in Dice similarity coefficient compared to the *** results demonstrate the superiority of the method over other segmentation techniques,with fewer model parameters.

关键词： Dynamic contrast-enhanced magnetic resonance imaging(DCE-MRI) breast tumor segmentation multi-scale dilated convolution boundary attention the hybrid loss function with boundary weight

A Deep Learning Approach to Shape Optimization Problems for Flexoelectric Materials Using the Isogeometric Finite Element Method

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Computer Modeling in Engineering & Sciences 2024年第5期139卷 1935-1960页

作者： Yu Cheng Yajun Huang Shuai li Zhongbin Zhou Xiaohui Yuan Yanming Xu College of Architecture and Civil Engineering Xinyang Normal UniversityXinyang464000China Henan Unsaturated Soil and Special Soil Engineering Technology Research Center Xinyang Normal UniversityXinyang464000China College of Intelligent Construction Wuchang University of TechnologyWuhan430223China College of Civil Engineering and Architecture Dalian UniversityDalian116622China Henan International Joint Laboratory of Structural Mechanics and Computational Simulation School of Architecture and Civil EngineeringHuanghuai UniversityZhumadian463000China

A new approach for flexoelectricmaterial shape optimization is proposed in this *** this work,a proxymodel based on artificial neural network(ANN)is used to solve the parameter optimization and shape optimization *** improve the fitting ability of the neural network,we use the idea of pre-training to determine the structure of the neural network and combine different optimizers for *** isogeometric analysis-finite element method(IGA-FEM)is used to discretize the flexural theoretical formulas and obtain samples,which helps ANN to build a proxy model from the model shape to the target *** effectiveness of the proposed method is verified through two numerical examples of parameter optimization and one numerical example of shape optimization.

关键词： Shape optimization deep learning flexoelectric structure finite element method isogeometric

Incidence and risk factors of depression in patients with metabolic syndrome

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World Journal of Psychiatry 2024年第2期14卷 245-254页

作者： li-Na Zhou Xian-Cang Ma Wei Wang Department of Psychiatry The First Affiliated Hospital of Xi’an Jiaotong UniversityXi’an 710061Shaanxi ProvinceChina

BACKGROUND Many studies have explored the relationship between depression and metabolic syndrome(MetS),especially in older *** has entered an aging ***,there are still few studies on the elderly in Chinese *** To investigate the incidence and risk factors of depression in MetS patients in China's Mainland and to construct a predictive *** Data from four waves of the China Health and Retirement Longitudinal Study were selected,and middle-aged and elderly patients with MetS(n=2533)were included based on the first *** to the center for epidemiological survey-depression scale(CESD),participants with MetS were divided into depression(n=938)and non-depression groups(n=1595),and factors related to depression were screened ***,the 2-,4-,and 7-year follow-up data were analyzed,and a prediction model for depression in MetS patients was *** The prevalence of depression in middle-aged and elderly patients with MetS was 37.02%.The prevalence of depression at the 2-,4-,and 7-year follow-up was 29.55%,34.53%,and 38.15%,*** prediction model,constructed using baseline CESD and Physical Self-Maintenance Scale scores,average sleep duration,number of chronic diseases,age,and weight had a good predictive effect on the risk of depression in MetS patients at the 2-year follow-up(area under the curve=0.775,95%confidence interval:0.750-0.800,P<0.001),with a sensitivity of 68%and a specificity of 74%.CONCLUSION The prevalence of depression in middle-aged and elderly patients with MetS has increased over *** early identification of and intervention for depressive symptoms requires greater attention in MetS patients.

关键词： Depression Metabolic syndrome Prevalence Risk factor