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High-throughput systematic topological generation of low-energy carbon allotropes

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npj Computational Materials 2021年第1期7卷 126-132页

作者： Vladislav A.Blatov Changhao Yang dingyi tang Qingfeng Zeng Andrey A.Golov Artem A.Kabanov School of Materials Science and Engineering Northwestern Polytechnical UniversityYouyi West Rd.127Xi’an 710072PR China Samara Center for Theoretical Materials Science(SCTMS) Samara State Technical UniversityMolodogvardeyskaya St.244Samara 443100Russia Samara Center for Theoretical Materials Science(SCTMS) Samara UniversityAc.Pavlov St.1Samara 443011Russia MSEA International Institute for Materials Genome Jinxiu Rd.1Gu’an 065500PR China Samara Branch ofР.N.Lebedev Physical Institute of the Russian Academy of Sciences Novo-Sadovaya St.221443011 SamaraRussia

The search for new materials requires effective methods for scanning the space of atomic configurations,in which the number is *** we present an extensive application of a topological network model of solid-state transformations,which enables one to reduce this infinite number to a countable number of the regions corresponding to topologically different crystalline *** have used this model to successfully generate carbon allotropes starting from a very restricted set of initial structures;the generation procedure has required only three steps to scan the configuration space around the *** a result,we have obtained all known carbon structures within the specified set of restrictions and discovered 224 allotropes with lattice energy ranging in 0.16–1.76 eV atom^(−1) above diamond including a phase,which is denser and probably harder than *** have shown that this phase has a quite different topological structure compared to the hard allotropes from the diamond polytypic *** have applied the tiling approach to explore the topology of the generated phases in more detail and found that many phases possessing high hardness are built from the tiles confined by six-membered *** have computed the mechanical properties for the generated allotropes and found simple dependences between their density,bulk,and shear moduli.

关键词： carbon energy topological

基于模拟退火与网络单纯形法的通信网络中设施选址优化算法

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计算机应用与软件 2022年第8期39卷 125-131页

作者：汤定一复旦大学软件学院上海200433

当用户观看视频时,影响其体验的关键在于带宽,然而视频内容服务器的硬件成本与链路带宽租赁费用相对昂贵。因此,如何在满足用户带宽需求的前提下,通过优化服务器部署与带宽租赁方案,从而降低成本成为挑战。提出基于模拟退火与网络单纯... 详细信息

当用户观看视频时,影响其体验的关键在于带宽,然而视频内容服务器的硬件成本与链路带宽租赁费用相对昂贵。因此,如何在满足用户带宽需求的前提下,通过优化服务器部署与带宽租赁方案,从而降低成本成为挑战。提出基于模拟退火与网络单纯形法的优化算法。该算法根据网络结构、链路带宽与租赁费用、服务器的硬件成本与部署成本和用户带宽需求大小,通过模拟退火来迭代优化服务器部署方案,使用网络单纯形法求解部署方案的总成本,通过快速迭代计算出较优方案。仿真结果表明,模拟退火-网络单纯形方案与贪心-Dinic算法相比,能够减少10%以上的总成本,且随着数据规模的扩大,优势更加明显。

关键词：设施选址模拟退火网络单纯形内容网络

SEHive:基于类型增强的Hive强制访问控制模型与实现

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计算机应用与软件 2022年第7期39卷 281-286,294页

作者：汤定一韩伟力复旦大学软件学院上海200433

在借鉴SELinux模型的基础上,提出面向Hive的基于类型增强的强制访问控制模型TE-MAC。该模型将主体与域关联,客体与类型关联,根据域与类型之间的访问规则控制访问,最大限度地减小用户可访问资源的范围,实现最小特权原则。同时引入组层次... 详细信息

在借鉴SELinux模型的基础上,提出面向Hive的基于类型增强的强制访问控制模型TE-MAC。该模型将主体与域关联,客体与类型关联,根据域与类型之间的访问规则控制访问,最大限度地减小用户可访问资源的范围,实现最小特权原则。同时引入组层次关系,便于结构化的权限管理。基于原型系统SEHive的实现,显示其对Hive中敏感数据强制访问控制的可行性。

关键词：大数据 Hadoop Hive 类型增强强制访问控制

1840年代俄国文坛的“莱蒙托夫之争”及其文学史意义

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俄罗斯文艺 2023年第1期 88-99页

作者：唐丁仪谢周西南大学外国语学院

1840年代的“莱蒙托夫之争”是莱蒙托夫学的起步阶段,别林斯基、舍维廖夫等文学批评家围绕莱蒙托夫的作品展开激烈论战,他们的评论思路被视为传统莱蒙托夫学的两大源头。本文在梳理当年“莱蒙托夫之争”的主要内容的基础上,一方面从文... 详细信息

1840年代的“莱蒙托夫之争”是莱蒙托夫学的起步阶段,别林斯基、舍维廖夫等文学批评家围绕莱蒙托夫的作品展开激烈论战,他们的评论思路被视为传统莱蒙托夫学的两大源头。本文在梳理当年“莱蒙托夫之争”的主要内容的基础上,一方面从文学创作与文学批评二者之间互动与对话的角度,探讨“莱蒙托夫之争”对于别林斯基本人美学思想的转化,以及对于俄罗斯文学和文学批评思想的发展所具有的方向性意义;另一方面,本文结合舍维廖夫的历史哲学系统,揭示文学史上消极的保守派在莱蒙托夫学术史上所具有的积极意义。

关键词：莱蒙托夫别林斯基舍维廖夫俄国文学史

Aquaporin-4-IgG-seropositive neuromyelitis optica spectrum disorders:progress of experimental models based on disease pathogenesis

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Neural Regeneration Research 2025年第2期20卷 354-365页

作者： Li Xu Huiming Xu Changyong tang Department of Neurology The Third Affiliated Hospital of Sun Yat-sen UniversityGuangzhouGuangdong ProvinceChina

Neuromyelitis optica spectrum disorders are neuroinflammatory demyelinating disorders that lead to permanent visual loss and motor *** date,no effective treatment exists as the exact causative mechanism remains ***,experimental models of neuromyelitis optica spectrum disorders are essential for exploring its pathogenesis and in screening for therapeutic *** most patients with neuromyelitis optica spectrum disorders are seropositive for IgG autoantibodies against aquaporin-4,which is highly expressed on the membrane of astrocyte endfeet,most current experimental models are based on aquaporin-4-IgG that initially targets *** experimental models have successfully simulated many pathological features of neuromyelitis optica spectrum disorders,such as aquaporin-4 loss,astrocytopathy,granulocyte and macrophage infiltration,complement activation,demyelination,and neuronal loss;however,they do not fully capture the pathological process of human neuromyelitis optica spectrum *** this review,we summarize the currently known pathogenic mechanisms and the development of associated experimental models in vitro,ex vivo,and in vivo for neuromyelitis optica spectrum disorders,suggest potential pathogenic mechanisms for further investigation,and provide guidance on experimental model *** addition,this review summarizes the latest information on pathologies and therapies for neuromyelitis optica spectrum disorders based on experimental models of aquaporin-4-IgG-seropositive neuromyelitis optica spectrum disorders,offering further therapeutic targets and a theoretical basis for clinical trials.

关键词： aquaporin-4 experimental model neuromyelitis optica spectrum disorder pathogenesis

Industrial Control Anomaly Detection Based on Distributed Linear Deep Learning

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Computers, Materials & Continua 2025年第1期82卷 1129-1150页

作者： Shijie tang Yong Ding Huiyong Wang School of Computer Science and Information Security Guilin University of Electronic TechnologyGuilin541004China School of Electronic Engineering and Automation Guilin University of Electronic TechnologyGuilin541004China Guangxi Engineering Research Center of Industrial Internet Security and Blockchain Guilin University of Electronic TechnologyGuilin541004China Institute of Cyberspace Technology HKCT Institute for Higher EducationHong Kong999077China School of Mathematics&Computing Science Guilin University of Electronic TechnologyGuilin541004China

As more and more devices in Cyber-Physical Systems(CPS)are connected to the Internet,physical components such as programmable logic controller(PLC),sensors,and actuators are facing greater risks of network attacks,and fast and accurate attack detection techniques are *** key problem in distinguishing between normal and abnormal sequences is to model sequential changes in a large and diverse field of time *** address this issue,we propose an anomaly detection method based on distributed deep *** method uses a bilateral filtering algorithm for sequential sequences to remove noise in the time series,which can maintain the edge of discrete *** use a distributed linear deep learning model to establish a sequential prediction model and adjust the threshold for anomaly detection based on the prediction error of the validation *** method can not only detect abnormal attacks but also locate the sensors that cause *** conducted experiments on the Secure Water Treatment(SWAT)and Water Distribution(WADI)public *** experimental results show that our method is superior to the baseline method in identifying the types of attacks and detecting efficiency.

关键词： Anomaly detection CPS deep learning MLP(multi-layer perceptron)

Soluble epoxide hydrolase:a next-generation drug target for Alzheimer's disease and related dementias

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Neural Regeneration Research 2025年第9期20卷 2585-2586页

作者： Andrew Gregory Chengyun tang Fan Fan Department of Physiology Medical College of GeorgiaAugusta UniversityAugustaGAUSA

Alzheimer's disease(AD)and Alzheimer's diseaserelated dementias(ADRD)represent a significant public health challenge,with projections indicating a substantial increase in affected individuals due to the aging global *** the World Health Organization,AD/ADRD has affected more than 55 million individuals worldwide,with an additional 10 million cases diagnosed each year.

关键词： Alzheimer population drug

Prediction and optimization of flue pressure in sintering process based on SHAP

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International Journal of Minerals,Metallurgy and Materials 2025年第2期32卷 346-359页

作者： Mingyu Wang Jue tang Mansheng Chu Quan Shi Zhen Zhang School of Metallurgy Northeastern UniversityShenyang 110819China Liaoning Low-Carbon Steelmaking Technology Engineering Research Center Northeastern UniversityShenyang 110819China Engineering Research Center of Frontier Technologies for Low-Carbon Steelmaking(Ministry of Education) Shenyang 110819China

Sinter is the core raw material for blast *** pressure,which is an important state parameter,affects sinter *** this paper,flue pressure prediction and optimization were studied based on the shapley additive explanation(SHAP)to predict the flue pressure and take targeted adjustment ***,the sintering process data were collected and processed.A flue pressure prediction model was then constructed after comparing different feature selection methods and model algorithms using SHAP+extremely random-ized trees(ET).The prediction accuracy of the model within the error range of±0.25 kPa was 92.63%.SHAP analysis was employed to improve the interpretability of the prediction *** effects of various sintering operation parameters on flue pressure,the relation-ship between the numerical range of key operation parameters and flue pressure,the effect of operation parameter combinations on flue pressure,and the prediction process of the flue pressure prediction model on a single sample were analyzed.A flue pressure optimization module was also constructed and analyzed when the prediction satisfied the judgment *** operating parameter combination was then *** flue pressure was increased by 5.87%during the verification process,achieving a good optimization effect.

关键词： sintering process flue pressure shapley additive explanation prediction optimization

Lenalidomide regulates the CCL21/CCR7/ERK1/2 axis to inhibit migration and proliferation in diffuse large B-cell lymphoma

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Oncology Research 2025年第1期33卷 199-212页

作者： WEN YANG BIN tang DAN XU WENXIU YANG Department of Pathology Guizhou Medical UniversityThe Affiliated Hospital of Guizhou Medical UniversityGuiyang550004China

Background:The prognostic significance of the chemokine receptor CCR7 in diffuse large B-cell lymphoma(DLBCL)has been reported ***,the detailed mechanisms of CCR7 in DLBCL,particularly regarding its interaction with lenalidomide treatment,are not fully ***:Our study utilized bioinformatics approaches to identify hub genes in SU-DHL-2 cell lines treated with lenalidomide compared to control *** data and clinical information from 122 patients with DLBCL were analyzed to assess the correlation of CCR7 and p-ERK1/2 expression with the prognosis of ***,in vitro and in vivo experiments were conducted to clarify the role of CCR7 in the response of DLBCL to lenalidomide ***:Our bioinformatics analysis pinpointed CCR7 as a hub gene in the context of lenalidomide treatment in ***,31.14%and 36.0%(44/122)of DLBCL cases showed positive expression for CCR7 and ERK1/2 respectively,establishing them as independent prognostic factors for adverse outcomes in DLBCL via multivariate Cox regression ***,our studies demonstrated that the external application of the protein CCL21 promoted proliferation,migration,invasion,and activation of the ERK1/2 pathway in SU-DHL-2 and OCI-LY3 cell lines with high levels of CCR7 *** effect was mitigated by CCR7 silencing through siRNA,application of ERK inhibitors,or lenalidomide *** vivo experiments reinforced the efficacy of lenalidomide,significantly reducing tumor growth rate,tumor mass,serum total LDH levels,and expression of CCR7 and p-ERK1/2 in a SUDHL-2 xenograft model in nude mice(p<0.05).Conclusion:Our study clarifies the potential role of the CCL21/CCR7/ERK1/2 axis in the therapeutic effects of lenalidomide in DLBCL treatment.

关键词： CCR7 CCL21 ERK1/2 Lenalidomide Diffuse large B-cell lymphoma(DLBCL)