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Resolving the developmental mechanisms of cardiac microthrombosis of SARS-CoV-2 based on single-cell transcriptome analysis

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Science China Life Sciences 2025年第1期68卷 103-115页

作者： Xizi Luo Nan Zhang Yuntao liu Beibei Du Xuan Wang Tianxu Zhao bingqiang liu Shishun Zhao Jiazhang Qiu Guoqing Wang State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases Key Laboratory for Zoonosis Research of the Ministry of EducationCollege of Basic MedicineJilin University State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases Key Laboratory for Zoonosis Research of the Ministry of EducationCollege of Veterinary MedicineJilin University College of Mathematics Jilin University Bioinformatic Lab School of MathematicsShandong University Department of Cardiology China-Japan Union HospitalJilin University

The coronavirus disease 2019（COVID-19） outbreak caused by the severe acute respiratory syndrome coronavirus-2（SARS-CoV-2） developed into a global health emergency. Systemic microthrombus caused by SARS-CoV-2 infection is a common complication in patients with COVID-19. Cardiac microthrombosis as a complication of SARS-CoV-2 infection is the primary cause of cardiac injury and death in patietns with severe COVID-19. In this study, we performed single-cell sequencing analysis of the right ventricular free wall tissue from healthy donors,patients who died during the hypercoagulable period of characteristic coagulation abnormality（CAC）, and patients who died during the fibrinolytic period of CAC. We collected 61,187 cells enriched in 24 immune cell subsets and 13 cardiac-resident cell subsets. We found that in the course of SARS-CoV-2 infected heart microthrombus, MYO1EhighRASGEF1Bhighmonocyte-derived macrophages promoted hyperactivation of the immune system and initiated the extrinsic coagulation pathway by activating chemokines CCL3, CCL5. This series of events is the main cause of cardiac microthrombi following SARS-CoV-2 infection. In a SARS-CoV-2 infected heart microthrombus, excessive immune activation is accompanied by an increase in cellular iron content, which in turn promotes oxidative stress and intensifies intercellular competition. This induces cells to alter their metabolic environment, resulting in increased sugar uptake via the glycosaminoglycan synthesis pathway. In addition, high levels of reactive oxygen species generated by elevated iron levels promote increased endogenous malondialdehyde synthesis in a subpopulation of cardiac endothelial cells. This exacerbates endothelial cell dysfunction and exacerbates the coagulopathy process.

关键词： SARS-CoV-2 cardiac microthrombosis immune hyperactivation cell competition

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Neighbor sum distinguishing total colorings of K4-minor free graphs

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Frontiers of Mathematics in China 2013年第6期8卷 1351-1366页

作者： Hualong LI bingqiang liu Guanghui WANG School of Mathematics Shandong University Jinan 250100 China

A total [k]-coloring of a graph G is a mapping φ： V（G） U E（G） →{1, 2, ..., k} such that any two adjacent elements in V（G）UE（G） receive different colors. Let f（v） denote the sum of the colors of a vertex v and the colors of all incident edges of v. A total [k]-neighbor sum distinguishing-coloring of G is a total [k]-coloring of G such that for each edge uv E E（G）, f（u） ≠ f（v）. By tt [G, Xsd（ J, we denote the smallest value k in such a coloring of G. Pilniak and Woniak conjectured X＇sd（G）〈 A（G）＋ 3 for any simple graph with maximum degree A（G）. This conjecture has been proved for complete graphs, cycles, bipartite graphs, and subcubic graphs. In this paper, we prove that it also holds for Ka-minor free graphs. Furthermore, we show that if G is a Ka-minor flee graph with A（G）〉 4, then ＂ Xnsd（G）〈 A（G）＋ 2. The bound A（G）＋ 2 is sharp.

关键词： K4-minor free graph neighbor sum distinguishing (nsd)

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Intelligent reasoning and management decision making with grey rough influence diagrams

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International Journal of Intelligent Computing and Cybernetics 2016年第4期9卷 336-353页

作者： Haiqing Hu bingqiang liu Tao Shen School of Electrical Engineering University of JinanJinanChina School of Mathematics Shandong UniversityJinanChina

Purpose-Influence diagrams(IDs)have been widely applied as a form of knowledge expression and a decision analysis tool in the management and engineering *** measurements and expectation values are computed depending on probability distributions in traditional IDs,however,most information systems in the real world are nondeterministic,and data in information tables can be interval valued,multiple valued and even ***,conventional numeric models of IDs are not suitable for information processing with respect to imprecise data whose boundaries are *** paper aims to discuss these ***/methodology/approach-The grey system theory and rough sets have proved to be effective tools in the data processing of uncertain information systems,approximate knowledge acquisition and representation are also the objectives in intelligent reasoning and decision ***,this study proposes a new mathematical model by combining grey rough sets with IDs,and approximate measurements are used instead of probability distribution,an implicational relationship is utilized instead of an indiscernible relationship,and all of the features of the proposed approach contribute to deal with uncertain ***-The focus of this paper is to provide a more comprehensive framework for approximate knowledge representation and intelligent decision analysis in uncertain information systems and an example of decision support in product management systems with the new approach is ***/value-Collaboration of IDs and grey rough sets is first proposed,which provides a new mathematical and graphical tool for approximate reasoning and intelligent decision analysis within interval-valued information systems.

关键词： Uncertainty Approximate reasoning Influence diagrams Intelligent decision Interval value

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GTB-PPI:Predict Protein-protein Interactions Based on L1-regularized Logistic Regression and Gradient Tree Boosting

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Genomics, Proteomics & Bioinformatics 2020年第5期18卷 582-592页

作者： Bin Yu Cheng Chen Hongyan Zhou bingqiang liu Qin Ma School of Life Sciences University of Science and Technology of ChinaHefei 230027China College of Mathematics and Physics Qingdao University of Science and TechnologyQingdao 266061China Artificial Intelligence and Biomedical Big Data Research Center Qingdao University of Science and TechnologyQingdao 266061China School of Mathematics Shandong UniversityJinan 250100China Department of Biomedical Informatics College of MedicineThe Ohio State UniversityColumbusOH 43210USA

Protein-protein interactions(PPIs)are of great importance to understand genetic mechanisms,delineate disease pathogenesis,and guide drug *** the increase of PPI data and development of machine learning technologies,prediction and identification of PPIs have become a research hotspot in *** this study,we propose a new prediction pipeline for PPIs based on gradient tree boosting(GTB).First,the initial feature vector is extracted by fusing pseudo amino acid composition(Pse AAC),pseudo position-specific scoring matrix(Pse PSSM),reduced sequence and index-vectors(RSIV),and autocorrelation descriptor(AD).Second,to remove redundancy and noise,we employ L1-regularized logistic regression(L1-RLR)to select an optimal feature ***,GTB-PPI model is ***-fold cross-validation showed that GTB-PPI achieved the accuracies of 95.15% and 90.47% on Saccharomyces cerevisiae and Helicobacter pylori datasets,*** addition,GTB-PPI could be applied to predict the independent test datasets for Caenorhabditis elegans,Escherichia coli,Homo sapiens,and Mus musculus,the one-core PPI network for CD9,and the crossover PPI network for the Wnt-related signaling *** results show that GTB-PPI can significantly improve accuracy of PPI *** code and datasets of GTB-PPI can be downloaded from https://***/QUST-AIBBDRC/GTB-PPI/.

关键词： Protein-protein interaction Feature fusion L1-regularized logistic regression Gradient tree boosting Machine learning

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EMCO-based Optimal Layout Design of Hybrid Wind-wave Energy Converters Array

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Protection and Control of Modern Power Systems 2024年第5期9卷 142-161页

作者： Bo Yang Jinhang Duan Yunfeng Yan bingqiang liu Jianxiang Huang Lin Jiang Rui Han Faculty of Electric Power Engineering Kunming University of Science and TechnologyKunming 650500China College of Electrical Engineering Zhejiang UniversityHangzhou 310027China Company of Kunming Bureau of CSG EHV Transmission Company Kunming 650217China School of Electrical Engineering and Electronics University of LiverpoolLiverpool L693GJUK Company of Electric Power Science Research Institute State Grid Zhejiang Electric Power Company Ltd.Hangzhou 310014China

Marine renewable energy,combining wave energy converters(WECs)and floating wind turbines(FWTs)into hybrid wave-wind energy converters(HWWECs),garners significant global *** offer potential cost reductions,increased power generation,and enhanced system *** absorption power of high wind energy sites is primarily influenced by the complex hydrodynamic interactions among floating bodies,which are closely related to the location and wind-wave environment of high wind energy *** delve into the positive interactions among HWWECs,this paper proposes a HWWEC array optimization strategy based on the artificial ecosystem opti-mization-manta ray foraging optimization coordinated optimizer(EMCO).In EMCO,the decomposition operator of artificial ecosystem optimization(AEO)and the flipping-dipper foraging operator of manta ray foraging optimization coordinated(MRFO)cooperate dynamically to effectively balance local exploitation and global *** validate the effectiveness of EMCO,experiments were conducted in scenarios with 3,5,8,and 20 HWWECs,and compared with five typical *** results demonstrate the existence of multiple optimal solutions for HWWEC *** achieves maximum total absorp-tion power and exhibits good ***,EMCO en-hances the q-factor values of HWWECs across four scales:1.0478,1.0586,1.0612,and 0.9965,respectively.

关键词： Marine renewable energy hybrid wind-wave energy converter layout optimization coordinating optimizer

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A critical survey of technologies of large offshore wind farm integration: summary, advances, and perspectives

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Protection and Control of Modern Power Systems 2022年第1期7卷 233-264页

作者： Bo Yang bingqiang liu Hongyu Zhou Jingbo Wang Wei Yao Shaocong Wu Hongchun Shu Yaxing Ren Faculty of Electric Power Engineering Kunming University of Science and TechnologyKunming 650500China State Key Laboratory of Advanced Electromagnetic Engineering and Technology (Huazhong University of Science and Technology)Wuhan 430074Hubei ProvinceChina Warwick Manufacturing Group University of WarwickCoventry CV47ALUK

Offshore wind farms(OWFs)have received widespread attention for their abundant unexploited wind energy poten-tial and convenient locations *** are rapidly developing towards having large capacity and being located further away from *** is thus necessary to explore effective power transmission technologies to connect large OWFs to onshore *** present,three types of power transmission technologies have been proposed for large OWF *** are:high voltage alternating current(HVAC)transmission,high voltage direct current(HVDC)transmission,and low-frequency alternating current(LFAC)or fractional frequency alternating current *** work undertakes a comprehensive review of grid connection technologies for large OWF *** with previous reviews,a more exhaustive summary is provided to elaborate HVAC,LFAC,and five HVDC topologies,consisting of line-commutated converter HVDC,voltage source converter HVDC,hybrid-HVDC,diode rectifier-based HVDC,and all DC transmission *** fault ride-through technologies of the grid connection schemes are also presented in detail to provide research references and guidelines for *** addition,a comprehensive evalu-ation of the seven grid connection technologies for large OWFs is proposed based on eight specific ***,eight conclusions and six perspectives are outlined for future research in integrating large OWFs.

关键词： Offshore wind farm HVAC HVDC LFAC Fault ride-through

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大秦线2万t货物列车条件下线桥设备试验研究

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中国铁道科学 2008年第6期29卷 35-40页

作者：康高亮刘丙强柯在田北京铁路局北京100039 中国铁道科学研究院铁道建筑研究所北京100081

选取大秦线5个轨道、1个路基和9个桥梁试验工点,进行2万t列车的运行和制动试验,研究大秦线轨道、桥梁和路基的动力性能。结果表明:2万t试验列车通过典型线、桥、路基和道岔地段时,实测脱轨系数、轮重减载率和轮对横向力以及道岔尖轨开... 详细信息

选取大秦线5个轨道、1个路基和9个桥梁试验工点,进行2万t列车的运行和制动试验,研究大秦线轨道、桥梁和路基的动力性能。结果表明:2万t试验列车通过典型线、桥、路基和道岔地段时,实测脱轨系数、轮重减载率和轮对横向力以及道岔尖轨开口量等指标均在安全限度内,说明在大秦线开行2万t货物列车是安全可行的。2万t试验列车作用下的轨道动力响应和各项位移参数与普通列车正常运营时基本相当,但2万t试验列车车辆由车轮扁疤产生的轮轨垂直力最大值达到277 kN,会对轨道结构产生显著的破坏作用;桥梁的挠度和振动参数基本在安全控制范围内;路基的动应力值基本在45 kPa以内,轴重由21 t增加到25 t后,路基动应力只增加2 kPa左右,但2万t列车通过时相邻两转向架4个车轮产生的路基动应力分布为1个梯形形式,而6 000 t列车通过时为2个交叠的梯形形式。

关键词：大秦线线桥设备参数测试数据分析重载铁路

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无砟轨道线路维护中与温度力相关的问题及对策

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铁道建筑 2017年第6期57卷 125-129页

作者：刘丙强中国铁路总公司运输局北京100844

高速铁路无砟轨道结构受力十分复杂,温度力是其中之一。温度力所造成的无砟轨道结构病害越来越多,且存在安全风险。本文针对桥梁地段和路基地段的CRTSⅠ型板式、CRTSⅡ型板式和双块式无砟轨道结构,重点对由温度力所引发的结构伤损问题... 详细信息

高速铁路无砟轨道结构受力十分复杂,温度力是其中之一。温度力所造成的无砟轨道结构病害越来越多,且存在安全风险。本文针对桥梁地段和路基地段的CRTSⅠ型板式、CRTSⅡ型板式和双块式无砟轨道结构,重点对由温度力所引发的结构伤损问题及其成因进行分析,并结合实际情况提出相应的预防整治技术对策,为现场工程技术人员养护维修管理提供借鉴。

关键词：高速铁路无砟轨道温度力结构伤损养护维修

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空间相机反射镜SiC/Al支撑板轻量化结构优化设计

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红外与激光工程 2014年第7期43卷 2214-2218页

作者：齐光许艳军刘炳强中国科学院长春光学精密机械与物理研究所吉林长春130033

在保证空间光学遥感相机反射镜组件结构刚度、位置精度、面形精度的同时,最大限度地降低反射镜支撑板的质量,是轻量化设计的一个重要内容。提出了通过拓扑优化确定反射镜用SiC/Al材料的背部支撑板轻量化形式的方案。采用有限元分析法对... 详细信息

在保证空间光学遥感相机反射镜组件结构刚度、位置精度、面形精度的同时,最大限度地降低反射镜支撑板的质量,是轻量化设计的一个重要内容。提出了通过拓扑优化确定反射镜用SiC/Al材料的背部支撑板轻量化形式的方案。采用有限元分析法对获得的优化结果进行分析。分析结果表明:重力载荷下面形精度达到λ/10 PV,λ/50 RMS(λ=632.8 nm),PV值13.3 nm,RMS值2.9 nm,反射镜组件一阶固有频率239Hz,均优于传统结构形式的反射镜。拓扑优化的方法获得的轻量化背部支撑板能够满足使用要求。

关键词：空间相机反射镜支撑板轻量化有限元分析

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球磨高氮不锈钢粉末特性及注射喂料流变性能

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稀有金属材料与工程 2015年第12期44卷 3173-3177页

作者：崔大伟曲选辉魏文庆刘炳强潍坊学院山东潍坊261061 北京科技大学北京100083

采用高能球磨技术制备了高氮节镍不锈钢近球形复合粉末,与石蜡基多聚合物组元黏结剂混炼制成金属注射成形喂料,研究了注射喂料的黏度、剪切速率以及温度等对黏度的影响。结果表明:高能球磨能够显著改善高氮不锈钢粉末的工艺特性,球磨60 ... 详细信息

采用高能球磨技术制备了高氮节镍不锈钢近球形复合粉末,与石蜡基多聚合物组元黏结剂混炼制成金属注射成形喂料,研究了注射喂料的黏度、剪切速率以及温度等对黏度的影响。结果表明:高能球磨能够显著改善高氮不锈钢粉末的工艺特性,球磨60 h得到的粉末颗粒细小,球形度较好,振实密度高,适合用来制作高质量的金属注射成形喂料。其中,粉末装载量为58%的喂料应变敏感因子最小(n=0.45),粘流活化能最低(E=28.70 kJ/mol),综合流变学因子最大(αSTV=2.96),表明该喂料具有最好的综合流变性能,非常适宜进行后续注射成形工艺。

关键词：高能球磨高氮节镍不锈钢金属注射成形喂料流变

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