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SLAMF8 as a potential biomarker for rheumatoid arthritis identified by comparing peripheral blood mononuclear cells,fibroblast-like synoviocytes,and synovial tissue using bioinformatics analysis

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Rheumatology & Autoimmunity 2024年第2期4卷 99-108页

作者： Cheng zhang Huina Huang Jie zhang Yifan Huang Yuanhua Qin Xia li Guan Wang Department of Immunology College of Basic Medical ScienceDalian Medical UniversityDalianLiaoningChina Department of Orthopedics Zhengzhou University People's HospitalHenan Provincial People's HospitalZhengzhouHenanChina Department of Parasite College of Basic Medical SciencesDalian Medical UniversityDalianLiaoningChina

Background::Rheumatoid arthritis(RA)is a chronic autoimmune inflammatory *** pathogenesis is not fully understood,and early diagnosis is challenging owing to the lack of effective *** study aimed to analyze different samples to identify potential biomarkers and therapeutic ***::Microarray datasets of RA,osteoarthritis(OA),and healthy control(HC)were downloaded from the Gene Expression Omnibus database.R software was used to identify differentially expressed genes(DEGs),which were visualized using volcano and heat *** diagrams,principal component analysis,gene set enrichment analysis,gene ontology,and Kyoto Encyclopedia of genes and genomes were used to analyze the data.A protein–protein interaction network was constructed,and synovial tissues from patients with RA and OA were collected for verification using the collagen-induced arthritis mouse ***::More DEGs were found in synovial tissues than in peripheral blood mononuclear cells or fibroblast-like *** component analysis revealed significant differences between the RA and OA samples,highlighting the unique advantages of synovial *** analysis revealed that metabolic and cytokine signaling pathways play crucial roles in the development of *** analysis of the four synovial datasets identified 54 DEGs,of which signaling lymphocytic activation molecule family(SLAMF)8 was identified as the key ***8 levels were increased in the synovial tissue of patients with RA compared to those of patients with OA(0.38±0.19 vs.12.40±1.66),and SLAMF8 levels were similarly elevated in collagen-induced arthritis model mice compared with those in the healthy mice(1.13±0.47 vs.9.05±2.52).Conclusions::This study established the unique advantages of synovial tissue for RA research and identified metabolic and cytokine signaling pathways as important for RA ***,SLAMF8 may be a potential therapeutic target for RA.

关键词： bioinformatics analysis rheumatoid arthritis SLAMF8 synovial tissue

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Applying a statistical method to streamflow reduction caused by underground mining for coal in the Kuye River basin

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Science China(Technological Sciences) 2016年第12期59卷 1911-1920页

作者： li shu CHEN YuanFang li ZhiJia zhang Ke College of Hydrology and Water Resources Hohai University Yellow River Institute of Hydraulic Research Yellow River Conservancy Commission

Streamflow in the Kuye River basin has been sharply reduced by the effects of climate change and human *** 1997,the intensification of coal mining has resulted in substantial reductions to streamflow alongside an ever-increasing demand for *** this study,we present a derived statistical method,incorporating the Mann-Kendall and Pettitt method(MK-P) and the Soil and Water Assessment Tool(SWAT),and apply it to estimating the streamflow reductions caused by underground mining for coal in the Kuye River *** results show that underground mining is an important cause of the streamflow reductions observed since1997,being responsible for reductions of 21.15 mm/yr(~56%of the total) during *** results of the SWAT simulation were assessed by several performance criteria:Nash-Suttcliffe Efficiency(Nse),correlation coefficient(R^2),relative error(RE),P-factor and *** close match between the simulations and observed data supports the reasonability of our *** suggest that engineering strategies be adopted to limit streamflow loss into goafs via fractured zones in the coalfield.

关键词： underground mining for coal streamflow MK-P SWAT statistical method

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乳铁蛋白调节高脂饮食小鼠糖脂代谢的机制

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中国食品学报 2024年第5期24卷 280-288页

作者：王无忌李丽李妍羿张婧韩纳姝内蒙古医科大学基础医学院呼和浩特010100 内蒙古医科大学护理学院呼和浩特010100 内蒙古医科大学精神卫生学院呼和浩特010100

目的:探究乳铁蛋白(LF)调节高脂饮食引起的小鼠糖脂代谢紊乱的机制。方法:选取30只SPF级雄性C57BL/6小鼠随机分为对照组(K组,正常饮食)、模型组(M组,高脂饲料+饮纯水)、乳铁蛋白治疗组(Y2组,高脂饲料+饮2%乳铁蛋白水),连续喂养12周。每... 详细信息

目的:探究乳铁蛋白(LF)调节高脂饮食引起的小鼠糖脂代谢紊乱的机制。方法:选取30只SPF级雄性C57BL/6小鼠随机分为对照组(K组,正常饮食)、模型组(M组,高脂饲料+饮纯水)、乳铁蛋白治疗组(Y2组,高脂饲料+饮2%乳铁蛋白水),连续喂养12周。每周记录小鼠体质量变化。在第12周取附睾周围腹腔脂肪组织,测定内脏脂肪率。使用商业酶分析试剂盒测血糖、血脂水平,酶联免疫吸附法测定胰岛素水平,16S rRNA测序法检测小鼠的肠道菌群,气相色谱质谱法检测短链脂肪酸含量。结果:乳铁蛋白干预12周后,Y2组小鼠相比于M组小鼠内脏脂肪率下降31.05%,血糖(5.92 mmol/L)、胰岛素(19.60 mmol/L)、总胆固醇(3.17 mmol/L)、甘油三酯(0.28 mmol/L)和低密度脂蛋白水平(1.84 mmol/L)与M组相比均下降且差异显著(P<0.05),高密度脂蛋白水平(1.88 mmol/L)与M组相比显著上升(P<0.05)。乳铁蛋白干预降低了厚壁菌门和拟杆菌门的比值,增加了拟杆菌门的相对丰度,降低了颤螺旋菌、大肠埃希菌、脱铁杆菌的相对丰度,调节了短链脂肪酸的代谢异常,控制了脂肪的积累。结论:乳铁蛋白通过调节肠道菌群结构来调控脂肪积累,改善高脂饮食小鼠的糖脂代谢紊乱。

关键词：乳铁蛋白肠道菌群代谢紊乱短链脂肪酸

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机器人化复合材料自动铺层技术综述

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自动化学报 2024年第5期50卷 873-897页

作者：郭鹏杨辰光李祥利章艺李淼华南理工大学自动化科学与工程学院广州510000 武汉大学工业科学研究院武汉430000

碳纤维增强复合材料(Carbon fiber-reinforced composite,CFRC)因具有轻质高强、耐腐蚀、耐冲击等优越性能,在生产生活中的应用已越来越广泛,然而复材产品的生产制造仍是劳动密集性产业,主要依靠人工.机械臂自上世纪50年代进入工业生产... 详细信息

碳纤维增强复合材料(Carbon fiber-reinforced composite,CFRC)因具有轻质高强、耐腐蚀、耐冲击等优越性能,在生产生活中的应用已越来越广泛,然而复材产品的生产制造仍是劳动密集性产业,主要依靠人工.机械臂自上世纪50年代进入工业生产中以来,极大提高了生产效率和质量,然而目前机械臂在复材产品制造中的应用是少见的,主要集中在机械臂形式的自动铺丝(Automated fiber placement,AFP)中.复材产品制造工艺繁琐,将复合材料铺放在模具上是复材产品制造过程中的一个重要环节,本文称之为“铺层”,使用机械臂完成复合材料自动铺层将是未来复材产品制造自动化、智能化发展的一个关键方向.本文将机械臂进行复合材料自动铺层操作分为两种主要形式:铺片和铺带(丝),通过案例调研和分析,归纳总结现有的设计理念和技术方法,提出未来发展趋势,以期对机械臂的应用和研究、复材产品的智能化制造和工业4.0的发展形成参考.

关键词：碳纤维增强复合材料机械臂控制末端设计自动铺层

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Rare Earth Doped New Cemented Carbide with Ni-Co Binder for Mining

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Journal of Central South University 2000年第3期12卷 143-145页

作者： zhang li CHEN shu Powder Metallurgy Factory Central South UniversityChangsha 410083China Changsha Research Institute of Mining and Metallurgy Changsha 410012China

A method, doping WC with La(NO 3) 3, of producing cemented carbide with rare earth was introduced. The effects of lanthanum on the mechanical properties and microstructure of WC 9(Co 75%Ni) cemented carbide were studied and a rock drilling experiment was carried *** experimental results show that both transverse rupture strength (TRS) and hardness of WC 9(Co 75%Ni) rare earth cemented carbides can match that of WC 9Co cemented carbide, when La 2O 3 / (Co+Ni) ratio is 0.3%, the abnormal growth of WC grain in the cemented carbide can be restrained effectively, the homogeneity of grain size in microstructure and the wear resistance are improved, which can be matchable to that of WC 9Co cemented carbide for mining.

关键词： cemented carbide rare earth cobalt substitution application

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基于自注意力机制的深度强化学习交通信号控制

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交通运输系统工程与信息 2024年第2期24卷 96-104页

作者：张玺君聂生元李喆张红兰州理工大学计算机与通信学院兰州730050

交通信号控制(Traffic Signal Control, TSC)仍然是交通领域中最重要的研究课题之一。针对现有基于深度强化学习(Deep Reinforcement Learning, DRL)的交通信号控制方法的状态需要人为设计,导致提取交通状态信息难度大以及交通状态信息... 详细信息

交通信号控制(Traffic Signal Control, TSC)仍然是交通领域中最重要的研究课题之一。针对现有基于深度强化学习(Deep Reinforcement Learning, DRL)的交通信号控制方法的状态需要人为设计,导致提取交通状态信息难度大以及交通状态信息无法全面表达的问题,为了从有限特征中挖掘潜在交通状态信息,从而降低交通状态设计难度,提出一种引入自注意力网络的DRL算法。首先,仅获取交叉口各进入口车道车辆位置,使用非均匀量化和独热编码方法预处理得到车辆位置分布矩阵;其次,使用自注意力网络挖掘车辆位置分布矩阵的空间相关性和潜在信息,作为DRL算法的输入;最后,在单交叉口学习交通信号自适应控制策略,在多交叉口路网中验证所提算法的适应性和鲁棒性。仿真结果表明,在单交叉口环境下,与3种基准算法相比,所提算法在车辆平均等待时间等指标上具有更好的性能;在多交叉口路网中,所提算法仍然具有良好的适应性。

关键词：智能交通自适应控制深度强化学习自注意力网络近端策略优化

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Ablation behaviour and mechanical performance of ZrB_(2)-ZrC-SiC modified carbon/carbon composites prepared by vacuum infiltration combined with reactive melt infiltration

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新型炭材料（中英文） 2024年第4期39卷 633-644页

作者： zhang Jia-ping SU Xiao-xuan li Xin-gang WANG Run-ning FU Qian-gang Shaanxi Key Laboratory of Fiber Reinforced light Composite Materials Northwestern Polytechnical UniversityXi’an 710072China

The development of advanced aircraft relies on high performance thermal-structural materials,and carbon/carbon com-posites(C/C)composited with ultrahigh-temperature ceramics are ideal ***,the traditional routes of compositing are either inefficient and expensive or lead to a non-uniform distribution of ceramics in the *** with the traditional C/C-ZrC-SiC composites prepared by the reactive melt infiltration of ZrSi_(2),C/C-ZrB_(2)-ZrC-SiC composites prepared by the vacuum infiltration of ZrB_(2) combined with reactive melt infiltration have the higher content and more uniform distribution of the introduced ceramic *** mass and linear ablation rates of the C/C-ZrB_(2)-ZrC-SiC composites were respectively 68.9%and 29.7%lower than those of C/C-ZrC-SiC composites prepared by reactive melt *** ablation performance was improved because the volatilization of B_(2)O_(3),removes some of the heat,and the more uniformly distributed ZrO_(2),that helps produce a ZrO2-SiO2 continu-ous protective layer,hinders oxygen infiltration and decreases ablation.

关键词： C/C composites ZrB_(2)-ZrC-SiC Vacuum filtration Reactive melt infiltration Ablation.

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Deep learning models for automatic classification ofechocardiographic views

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中国医学影像技术 2024年第8期40卷 1124-1129页

作者： CHEN Wenwen ZHU Ye zhang Yiwei WU Chun li Yuman zhang Ziming SUN Zhenxing XIE Mingxing zhang li Department of Ultrasound Union HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430022China Clinical Research Center for Medical Imaging in Hubei Province Wuhan 430022China Hubei Province Key Laboratory of Molecular Imaging Wuhan 430022China

Objective To observe the value of deep learning (DL) models for automatic classification of echocardiographic views. Methods Totally 100 patients after heart transplantation were retrospectively enrolled and divided into training set, validation set and test set at a ratio of 7 ∶ 2 ∶ 1. ResNet18, ResNet34, Swin Transformer and Swin Transformer V2 models were established based on 2D apical two chamber view, 2D apical three chamber view, 2D apical four chamber view, 2D subcostal view, parasternal long-axis view of left ventricle, short-axis view of great arteries, short-axis view of apex of left ventricle, short-axis view of papillary muscle of left ventricle, short-axis view of mitral valve of left ventricle, also 3D and CDFI views of echocardiography. The accuracy, precision, recall, F1 score and confusion matrix were used to evaluate the performance of each model for automatically classifying echocardiographic views. The interactive interface was designed based on Qt Designer software and deployed on the desktop. Results The performance of models for automatically classifying echocardiographic views in test set were all good, with relatively poor performance for 2D short-axis view of left ventricle and superior performance for 3D and CDFI views. Swin Transformer V2 was the optimal model for automatically classifying echocardiographic views, with high accuracy, precision, recall and F1 score was 92.56%, 89.01%, 89.97% and 89.31%, respectively, which also had the highest diagonal value in confusion matrix and showed the best classification effect on various views in t-SNE figure. Conclusion DL model had good performance for automatically classifying echocardiographic views, especially Swin Transformer V2 model had the best performance. Using interactive classification interface could improve the interpretability of prediction results to some extent.

关键词： heart transplantation echocardiography deep learning

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Identification of Phoxim and Omethoate Using α-hemolysin Nanopore and Aptamers

Identification of Phoxim and Omethoate Using α-hemolysin Na...

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中国植物病理学会2024年学术年会

作者： li Bin WANG Junxiao zhang Chengling li Guangyue WANG Ying Shandong Provincial Key Laboratory of Detection Technology for Tumor Markers College of Life ScienceLinyi University Xuzhou Institute of Agricultural Sciences Shandong Dingyi Ecological Agriculture Co.LTD

Contamination of pesticides has inflicted substantial harm on human health,so it is great significance to develop rapid,ultra-sensitive,and no-labeling simultaneous detection methods for multiple ***,we show that α-hemolysin（α-HL） nanopore sensor can detect and discriminated organophosphorus pesticides of phoxim and omethoate in a single nanopore without the need for labels of the probes or purification of the pesticides in real *** specifically recognize and bind pesticides to obtain pesticide-aptamer complexes,which produce characteristic current signals during passing through the *** and omethoate are accurately distinguished by a portable instrument within minutes,and the detective sensitivity is up to femtomole level whether detected alone or *** detection limits of phoxim and omethoate are 8.13×10 M and 4.16×10 *** recoveries of phoxim and omethoate from pear,tomato,and cucumber samples are 82.0%～107.0 %and 80.0%-100.4 % respectively,with coefficient of variable below 8.0 %.The developed nanopore sensor has a powerful tool for food safety research and human health.

关键词： α-Hemolysin nanopore Aptamer Phoxim Omethoate Sensor Detection

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基于多层网络控制的个体化癌症驱动基因识别方法

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生物化学与生物物理进展 2024年第7期51卷 1711-1726页

作者：张桐张绍武李岩谢明宇西北工业大学自动化学院信息融合技术教育部重点实验室西安710072 平顶山学院电气与机械工程学院平顶山467000

目的识别癌症驱动基因,特别是罕见或个体特异性癌症驱动基因,对精准肿瘤学至关重要。考虑到肿瘤间的高度异质性,最近有一些方法尝试在个体水平上识别癌症驱动基因。然而,这些方法大多是将多组学数据整合到单一生物分子网络(如基因调控... 详细信息

目的识别癌症驱动基因,特别是罕见或个体特异性癌症驱动基因,对精准肿瘤学至关重要。考虑到肿瘤间的高度异质性,最近有一些方法尝试在个体水平上识别癌症驱动基因。然而,这些方法大多是将多组学数据整合到单一生物分子网络(如基因调控网络或蛋白质相互作用网络)中来识别癌症驱动基因,容易忽略不同网络所特有的重要相互作用信息。为了整合不同生物分子网络的相互作用数据,促进癌症驱动基因识别,迫切需要发展一种多层网络方法。方法本文提出了一种多层网络控制方法(PDGMN),利用多层网络识别个体化癌症驱动基因。首先,利用基因表达数据构建针对个体病人的个体化多层网络,其中包括蛋白质相互作用层和基因相互关联层。然后,整合突变数据,对个体化多层网络中的节点进行加权。最后,设计了一种加权最小顶点覆盖集识别算法,找到个体化多层网络中的最优驱动节点集,以提高个体化癌症驱动基因的识别效果。结果在三个TCGA癌症数据集上的实验结果表明,PDGMN在个体化驱动基因识别方面优于其他现有方法,并能有效识别个体病人的罕见癌症驱动基因。特别是,在不同生物分子网络上的实验结果表明,PDGMN能够捕获不同生物分子网络的独有特征,从而改进癌症驱动基因的识别结果。结论PDGMN能有效识别个体化癌症驱动基因,并从多层网络的视角,加深我们对癌症驱动基因识别的理解。本文所用的源代码和数据集可以从https://***/NWPU-903PR/PDGMN获取。

关键词：多层生物分子网络多层网络控制个体化癌症驱动基因个体化多层网络最小节点覆盖集

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