检索结果-南通市图书馆

Molecular Basis of KAT2A Selecting Acyl-CoA Cofactors for Histone Modifications

在线全文

学校读者我要写书评

暂无评论

research 2023年第2期2023卷 577-581页

作者： Sha Li Nan Li Jie He runxin Zhou Zhimin Lu Yizhi Jane Tao Yusong r.guo Yugang Wang Department of Biochemistry and Molecular Biology School of Basic MedicineTongji Medical CollegeHuazhong University of Science and TechnologyWuhanHubei 430030China Department of Neurosurgery Union HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430022China Zhejiang University School of Medicine HangzhouZhejiang 310029China Department of Bioscience Rice UniversityHoustonTX 77005USA Cell Architecture research Center Huazhong University of Science and TechnologyWuhanHubei 430030China

Emerging discoveries about undocumented acyltransferase activities of known histone acetyltransferases(HATs)advance our understandings in the regulation of histone ***,the molecular basis of HATs selecting acyl coenzyme A(acyl-CoA)substrates for histone modification is less *** here report that lysine acetyltransferase 2A(KAT2A)as an illustrative instance of HATs can selectively utilize acetyl-CoA,propionyl-CoA,butyryl-CoA,and succinyl-CoA to directly deposit 18 histone acylation hallmarks in *** analyzing the co-crystal structures of the catalytic domain of KAT2A in complex with acetyl-CoA,propionyl-CoA,butyryl-CoA,malonyl-CoA,succinyl-CoA,and glutaryl-CoA,we conclude that the alternative substrate-binding pocket of KAT2A and the length and electrostatic features of the acyl chain cooperatively determine the selection of the acyl-CoA substrates by *** study reveals the molecular basis underlying the pluripotency of HATs that selectively install acylation hallmarks in nucleosomes,which might serve as instrumental mechanism to precisely regulate histone acylation profiles in cells.

关键词： utilize selecting electrostatic

(Mg_(0.95)Ca_(0.05))TiO_3晶体的激光加热基座法生长及其性质测定

维普期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

功能材料 2003年第2期34卷 158-159页

作者：蒋毅坚 r.guo A.S.Bhalla 北京工业大学国家产学研激光技术中心北京100022 宾夕法尼亚州立大学材料研究实验室

采用激光加热基座法(LHPG)生长出了共晶系(Mg0.95Ca0.05)TiO3晶体。通过粉末X射线衍射分析了所生长晶体的晶相,采用扫描电镜和显微拉曼光谱技术研究了所生长晶体的微观结构。(Mg0.95Ca0.05)TiO3晶体由CaTiO3和Mg-TiO3两种晶体复合而成... 详细信息

采用激光加热基座法(LHPG)生长出了共晶系(Mg0.95Ca0.05)TiO3晶体。通过粉末X射线衍射分析了所生长晶体的晶相,采用扫描电镜和显微拉曼光谱技术研究了所生长晶体的微观结构。(Mg0.95Ca0.05)TiO3晶体由CaTiO3和Mg-TiO3两种晶体复合而成。介电测量结果表明:(Mg0.95Ca0.05)TiO3晶体沿生长方向具有较大的介电常数和较小的共振频率温度系数。

关键词：激光加热基座法共晶介电性质晶体生长粉末X射线衍射微波介电材料

在线全文

学校读者我要写书评

暂无评论

PSKNN铁电单晶及其激光法生长

中国激光 2000年第9期27卷 842-846页

作者：蒋毅坚 r.guo A.S.Bhalla 北京工业大学国家产学研激光技术中心北京100022 宾夕法尼亚州立大学材料研究实验室

采用改进的激光加热基座法 (LHPG)生长出了位于准同形相界附近的含有 Pb元素的钨青铜结构的铁电晶体 (1- x) Pb2 KNb5O15- x Sr2 Na Nb5O15(PSKNN)。通过调节激光功率和陶瓷源棒中 Pb O的含量 ,有效地控制和补偿了晶体生长过程中 Pb O... 详细信息

采用改进的激光加热基座法 (LHPG)生长出了位于准同形相界附近的含有 Pb元素的钨青铜结构的铁电晶体 (1- x) Pb2 KNb5O15- x Sr2 Na Nb5O15(PSKNN)。通过调节激光功率和陶瓷源棒中 Pb O的含量 ,有效地控制和补偿了晶体生长过程中 Pb O的挥发。通过选择适当的籽晶 ,可以得到沿 [0 0 1],[10 0 ]和 [110 ]方向生长的 PSKNN晶体。研究了所生长晶体的铁电、介电和压电性质 ,并对其准同形相界进行了初步的讨论。

关键词： PSKNN 铁电单晶激光加热基座生长

在线全文

学校读者我要写书评

暂无评论

Ta_2O_5单晶的激光法生长

应用激光 2002年第2期22卷 244-246页

作者：蒋毅坚 r.guo A.S.Bhalla 北京工业大学国家产学研激光技术中心 Materials research Laboratory The Pennsylvania State UniversityPA 16802USA

采用激光加热基座生长法(LHPG)生长出Ta_2O_5单晶,测量了所生长晶体的介电系数和介电损耗随晶格方向的关系。Ta_2O_5晶体表现出很强的介电各向异性,并且其介电系数的平均值比 Ta_2O_5陶瓷的大许多。Ta_2O_5单晶的成功生长证明了LHPG技... 详细信息

采用激光加热基座生长法(LHPG)生长出Ta_2O_5单晶,测量了所生长晶体的介电系数和介电损耗随晶格方向的关系。Ta_2O_5晶体表现出很强的介电各向异性,并且其介电系数的平均值比 Ta_2O_5陶瓷的大许多。Ta_2O_5单晶的成功生长证明了LHPG技术在生长高熔点晶体方面所具有的独特能力,同时也表明它作为一种特殊的激光材料加工技术在材料科学与工程中将发挥重要作用。

关键词：激光加热基座生长法 Ta205单晶介电性质介电损耗晶格方向 LHPG技术激光材料加工技术介电材料五氧化二钽

三维高分辨黑血晚期钆增强成像改善心房瘢痕评估

在线全文

学校读者我要写书评

暂无评论

国际医学放射学杂志 2023年第4期 484-485页

作者： D.Y.Si Y.F.Wu J J.Xiao X.H.Qin r.guo B.W.Liu 秦桂姣

摘要射频消融(rFA)是一种广泛应用于房颤的治疗方法，可降低心律失常的风险。心房瘢痕的详细可视化和量化有可能改善术前决策和术后预后。传统的亮血晚期钆增强

关键词：

research on rat models of hypobaric hypoxia-induced pulmonary hypertension

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Research on rat models of hypobaric hypoxia-induced pulmonar...

reducing the measurement errors in nonadiabatic holonomic quantum computers

青藏铁路运营十周年学术研讨会

作者： T.-T.MA Y WANG X.-L.ZHOU H.JIANG r.guo L.-N.JIA H.CHANG Y GAO X.-Y.YAO Z.-M.GAO L.PAN Department of Geriatric Medicine Beijing Shijitan HospitalCapital Medical University Department of Hypoxia Laboratory Beijing Shijitan HospitalCapital Medical University Department of Pathology Beijing Shijitan HospitalCapital Medical University Health Science Center of Peking University

OBJECTIVE:rat models of hypobaric hypoxia-induced pulmonary hypertension are commonly used in studies of chronic mountain sickness,while there are few researches specially focusing on these rats *** study aims to exploring possible pathogenesis of hypobaric hypoxia-induced pulmonary hypertension by experimenting on hypobaric hypoxiainduced PH rat models at different *** AND METHODS:32 healthy male SD rats were randomly divided into six groups of different degree and time period of hypobaric *** mean pulmonary arterial pressure（m PAP）,right ventricular pressure（rVSP）,the right ventricle（rV）,left ventricular（LV）,ventricular septal（S）,the right ventricular hypertrophy index（rVHI）[calculated under the formula of rV/（LV + S）],hematoxylin-eosin staining,elastic fibers staining,the ratio of the thickness of vascular wall to its outer diameter（MT%）,the ratio of the cross-sectional area of the middle vascular wall to the total vascular cross-sectional area（MA%）;the a-SMA,and the Ki6 expressions were detected to evaluated the pulmonary ***:There were significant differences of the mPAP,rVSP and rVHI value between the hypobaric hypoxia groups and the control group（p ＜ 0.05）.The mPAP,rVSP,rVHI,MT%,MA%,α-SMA,and Ki6 of rats in model groups at an altitude of 3KM were higher than those of the control group,which raised gradually with the number of weeks *** mPAP,rVSP,rV/（LV + S） value,MT%,MA%,a-SMA,and Ki67 of the 5KM-4W group were significantly higher than those of the control group（p ＜ 0.05）.CONCLUSIONS:rat models with pulmonary hypertension at different altitudes have been successfully established by automatic adjusting hypobaric hypoxia *** to a low oxygen environment at a simulate-altitude of 3km for 8 weeks have caused the pathological remodeling of pulmonary vascular walls and pulmonary hypertension,and further led to a series of pathological changes,including right ventricular ***

关键词： Hypobaric hypoxia Pulmonary hypertension Animal models

来源： cnki会议评论

在线全文

cnki会议

学校读者我要写书评

暂无评论

Science China(Physics,Mechanics & Astronomy) 2025年第1期Mechanics & Astronomy) .卷 64-70页

作者： guo-Fu Xu Department of Physics Shandong University

Nonadiabatic holonomic quantum computers serve as the physical platform for nonadiabatic holonomic quantum *** quantum computation has entered the noisy intermediate-scale era, building accurate intermediate-scale nonadiabatic holonomic quantum computers is clearly necessary. Given that measurements are the sole means of extracting information, they play an indispensable role in nonadiabatic holonomic quantum computers. Accordingly, developing methods to reduce measurement errors in nonadiabatic holonomic quantum computers is of great importance. However, while much attention has been given to the research on nonadiabatic holonomic gates, the research on reducing measurement errors in nonadiabatic holonomic quantum computers is severely lacking. In this study, we propose a measurement error reduction method tailored for intermediate-scale nonadiabatic holonomic quantum computers. The reason we say this is because our method can not only reduce the measurement errors in the computer but also be useful in mitigating errors originating from nonadiabatic holonomic gates. Given these features,our method significantly advances the construction of accurate intermediate-scale nonadiabatic holonomic quantum computers.

关键词： quantum holonomy quantum computation measurement errors

Anomaly Detection of Controllable Electric Vehicles through Node Equation against Aggregation Attack

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2025年第1期82卷 427-442页

作者： Jing guo Ziying Wang Yajuan guo Haitao Jiang State Grid Jiangsu Electric Power Co. Ltd.Research InstituteState Grid Corporation of ChinaNanjing211100China

The rapid proliferation of electric vehicle(EV)charging infrastructure introduces critical cybersecurity vulnerabilities to power grids *** study presents an innovative anomaly detection framework for EV charging stations,addressing the unique challenges posed by third-party aggregation *** approach integrates node equations-based on the parameter identification with a novel deep learning model,xDeepCIN,to detect abnormal data reporting indicative of aggregation *** employ a graph-theoretic approach to model EV charging networks and utilize Markov Chain Monte Carlo techniques for accurate parameter *** xDeepCIN model,incorporating a Compressed Interaction Network,has the ability to capture complex feature interactions in sparse,high-dimensional charging *** results on both proprietary and public datasets demonstrate significant improvements in anomaly detection performance,with F1-scores increasing by up to 32.3%for specific anomaly types compared to traditional methods,such as wide&deep and DeepFM(Factorization-Machine).Our framework exhibits robust scalability,effectively handling networks ranging from 8 to 85 charging ***,we achieve real-time monitoring capabilities,with parameter identification completing within seconds for networks up to 1000 *** research contributes to enhancing the security and reliability of renewable energy systems against evolving cyber threats,offering a comprehensive solution for safeguarding the rapidly expanding EV charging infrastructure.

关键词： Anomaly detection electric vehicle aggregation attack deep cross-network

DIGNN-A:real-Time Network Intrusion Detection with Integrated Neural Networks Based on Dynamic Graph

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2025年第1期82卷 817-842页

作者： Jizhao Liu Minghao guo College of Computer Zhongyuan University of TechnologyZhengzhou450007China

The increasing popularity of the Internet and the widespread use of information technology have led to a rise in the number and sophistication of network attacks and security *** detection systems are crucial to network security,playing a pivotal role in safeguarding networks from potential ***,in the context of an evolving landscape of sophisticated and elusive attacks,existing intrusion detection methodologies often overlook critical aspects such as changes in network topology over time and interactions between *** address these issues,this paper proposes a real-time network intrusion detection method based on graph neural *** proposedmethod leverages the advantages of graph neural networks and employs a straightforward graph construction method to represent network traffic as dynamic graph-structured ***,a graph convolution operation with a multi-head attention mechanism is utilized to enhance the model’s ability to capture the intricate relationships within the graph structure ***,it uses an integrated graph neural network to address dynamic graphs’structural and topological changes at different time points and the challenges of edge embedding in intrusion detection *** edge classification problem is effectively transformed into node classification by employing a line graph data representation,which facilitates fine-grained intrusion detection tasks on dynamic graph node feature *** efficacy of the proposed method is evaluated using two commonly used intrusion detection datasets,UNSW-NB15 and NF-ToN-IoT-v2,and results are compared with previous studies in this *** experimental results demonstrate that our proposed method achieves 99.3%and 99.96%accuracy on the two datasets,respectively,and outperforms the benchmark model in several evaluation metrics.

关键词： Intrusion detection graph neural networks attention mechanisms line graphs dynamic graph neural networks