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经跗骨窦入路结合内侧支撑技术应用钢板内固定治疗跟骨关节内骨折临床有效性研究

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中国医疗器械信息 2025年第2期31卷 29-31,144页

作者：吴敏标张三峰何炳旋江门市蓬江区中西结合医院广东江门529300

目的:探究经跗骨窦入路结合内侧支撑技术应用钢板内固定治疗跟骨关节内骨折的临床有效性。方法:采用随机数字表法将2022年4月~2022年10月本院收治的跟骨关节内骨折患者64例均分为两组。对照组应用外侧扩大“L”形切口入路钢板内固定术,... 详细信息

目的:探究经跗骨窦入路结合内侧支撑技术应用钢板内固定治疗跟骨关节内骨折的临床有效性。方法:采用随机数字表法将2022年4月~2022年10月本院收治的跟骨关节内骨折患者64例均分为两组。对照组应用外侧扩大“L”形切口入路钢板内固定术,观察组应用跟骨内侧支撑技术结合跗骨窦入路钢板内固定术,比较两组临床效果。结果:相比对照组,观察组住院和手术时间短,术中出血量少,术后VAS评分、并发症总发生率低(Psane角小,Bohler角、AOFAS评分、WHOQOL-BREF评分高(P<0.05)。结论:经跗骨窦入路结合内侧支撑技术应用钢板内固定治疗跟骨关节内骨折临床有效性确切,可明显改善患者足踝关节功能,提升生存质量。

关键词：跟骨关节内骨折跗骨窦入路内侧支撑技术内固定

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基于图对比学习的恶意域名检测方法

软件学报 2024年第10期35卷 4837-4858页

作者：张震张三峰杨望东南大学网络空间安全学院江苏南京211189 教育部计算机网络和信息集成重点实验室(东南大学) 江苏南京211189

域名是实施网络犯罪行为的重要环节,现有的恶意域名检测方法一方面难以利用丰富的拓扑和属性信息,另一方面需要大量的标签数据,检测效果受限而成本较高.针对该问题,提出一种基于图对比学习的恶意域名检测方法,以域名和IP地址作为异构图... 详细信息

域名是实施网络犯罪行为的重要环节,现有的恶意域名检测方法一方面难以利用丰富的拓扑和属性信息,另一方面需要大量的标签数据,检测效果受限而成本较高.针对该问题,提出一种基于图对比学习的恶意域名检测方法,以域名和IP地址作为异构图的两类节点并根据其属性建立对应节点的特征矩阵,依据域名之间的包含关系、相似度度量以及域名和IP地址之间对应关系构建3种元路径;在预训练阶段,使用基于非对称编码器的对比学习模型,避免图数据增强操作对图结构和语义的破坏,也降低对计算资源的需求;使用归纳式的图神经网络图编码器HeteroSAGE和HeteroGAT,采用以节点为中心的小批量训练模式来挖掘目标节点和邻居节点的聚合关系,避免直推式图神经网络在动态场景下适用性较差的问题;下游分类检测任务则对比使用了逻辑回归、随机森林等算法.在公开数据上的实验结果表明检测性能相比已有工作提高2–6个百分点.

关键词：恶意域名检测属性异构图图神经网络非对称编码自监督学习

Failure rate analysis and maintenance plan optimization method for civil aircraft parts based on data fusion

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Chinese Journal of Aeronautics 2025年第1期38卷 306-324页

作者： Kang CAO Yongjie zhang Jianfei feng School of Civil Aviation Northwestern Polytechnical UniversityXi’an 710072China Shanghai Aircraft Design and Research Institute Shanghai 201210China

In the face of data scarcity in the optimization of maintenance strategies for civil aircraft,traditional failure data-driven methods are encountering challenges owing to the increasing reliability of aircraft *** study addresses this issue by presenting a novel combined data fusion algorithm,which serves to enhance the accuracy and reliability of failure rate analysis for a specific aircraft model by integrating historical failure data from similar models as supplementary *** a comprehensive analysis of two different maintenance projects,this study illustrates the application process of the *** upon the analysis results,this paper introduces the innovative equal integral value method as a replacement for the conventional equal interval method in the context of maintenance schedule *** Monte Carlo simulation example validates that the equivalent essential value method surpasses the traditional method by over 20%in terms of inspection efficiency *** discovery indicates that the equal critical value method not only upholds maintenance efficiency but also substantially decreases workload and maintenance *** findings of this study open up novel perspectives for airlines grappling with data scarcity,offer fresh strategies for the optimization of aviation maintenance practices,and chart a new course toward achieving more efficient and cost-effective maintenance schedule optimization through refined data analysis.

关键词： Small sample data Data fusion Failure rate Maintenance planning Aircraft parts

P2P网络非对称DHT方法及负载均衡技术研究

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通信学报 2007年第9期28卷 60-67页

作者：张三峰吴国新东南大学计算机科学与工程系江苏南京210096

研究了适应异构网络环境的非对称结构化对等网的构造和优化算法。提出包括稳定性、带宽、延迟等参数的综合临近测度作为选择临近邻居的尺度;设计基于这种测度的邻居选择算法和路由算法;引入一种流量控制机制避免部分节点过载。通过仿真... 详细信息

研究了适应异构网络环境的非对称结构化对等网的构造和优化算法。提出包括稳定性、带宽、延迟等参数的综合临近测度作为选择临近邻居的尺度;设计基于这种测度的邻居选择算法和路由算法;引入一种流量控制机制避免部分节点过载。通过仿真实验验证了算法的有效性,结果表明新算法的平均路径长度(跳数)缩短为基本Chord协议的50%以下;延迟缩短为65%;同时可以有效地控制胖节点的过载。

关键词：计算网络分布式散列表负载均衡自适应

Numerical Study of the Shallow-Water Effect on the Hydrodynamic Loads and Wake of a Ship in Oblique Flow

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Journal of Ocean University of China 2025年第1期24卷 63-74页

作者： feng Liang WANG Longsheng zhang Yuxin College of Engineering Ocean University of ChinaQingdao 266404China Shanghai Merchant Ship Design and Research Institute Shanghai 201203China

When a ship moves in an oblique flow,its hydrodynamic loads and wake characteristics vary substantially from those in straight-ahead *** dissimilarity can be even more complex when the ship operates in a seaway of shallow *** this paper,a numerical analysis of the shallow-water effect on the hydrodynamic forces and wake characteristics of an international ship model,KVLCC2,in oblique flows is *** simulations are performed based on the Reynolds Averaged NavierStokes equation in conjunction with the shear stress transport(SST)k-ωturbulence *** relative water depths(h=1.2T,1.5T,3.0T,and 24T;T is the ship draft)and five different drift angles(β=0°,5°,10°,15°,and 20°)are *** reveal the following:i)The shallow-water effect is strong and leads to nonlinear increases in the longitudinal force regardless of drift angles and on the transverse force and yaw moment whenever the drift angle ***)In shallow water,the mean wake fraction is sensitive to the drift angle,and the strength of the aft-body vortex on the leeward side increases.

关键词： oblique flow shallow-water effect hull wake computational fluid dynamics

基于网页结构与语言特征的垃圾网页链接检测方法

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东北大学学报（自然科学版） 2020年第8期41卷 1091-1096页

作者：杨望江咏涵张三峰东南大学网络空间安全学院江苏南京211189

现有的垃圾网站检测方法主要针对自建的垃圾网站,对于通过入侵正常网站注入垃圾网络链接的检测效率不高.本文提出一种基于网页结构与文本多维特征的检测框架,该框架将网页进行分块处理.通过计算优势率的方法提取内容特征,根据标签数、... 详细信息

现有的垃圾网站检测方法主要针对自建的垃圾网站,对于通过入侵正常网站注入垃圾网络链接的检测效率不高.本文提出一种基于网页结构与文本多维特征的检测框架,该框架将网页进行分块处理.通过计算优势率的方法提取内容特征,根据标签数、属性键和属性值利用独热率的方法提取结构特征.使用机器学习算法进行训练并得到检测模型,进而有效地检测垃圾网站链接.同时,将本文的检测方法与基于内容分析的检测算法和黑名单匹配算法进行对比,本文提出的方法检测准确率最高有13%的提高.

关键词：垃圾网站检测黑色SEO 独热率机器学习链接注入

A PHYB-PIF4-auxin module promotes tomato graft formation in response to elevated ambient temperature

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Horticultural Plant Journal 2025年第1期11卷 227-238页

作者： Xianmin Meng feng zhang Wencai Yang Qingmao Shang State Key Laboratory of Vegetable Biobreeding Key Laboratory of Horticultural Crop Biology and Germplasm Innovation(Ministry of Agriculture)Institute of Vegetables and FlowersChinese Academy of Agriculture SciencesBeijing 100081China Beijing Key Laboratory of Growth and Developmental Regulation for Protected Vegetable Crops Department of Vegetable ScienceCollege of HorticultureChina Agricultural UniversityBeijing 100193China

Grafting is an effective technique for increasing the resistance of vegetables to biotic and abiotic *** has been widely applied to produce solanaceous and melon *** is an important external factor affecting graft ***,the molecular mechanism by which external ambient temperature affects tomato graft formation remains *** this study,we demonstrated that elevating ambient temperature during grafting to 35℃ for more than 24 h after grafting accelerated vascular *** generated self-or heterografted combinations between phyB1B2 and pif4 loss-of-function mutant and wild-type plants,and were mutants unresponsive to graft formation at elevated ambient *** addition,elevated ambient temperature induced SlPIF4 expression during ***4 directly binds the promoters of auxin biosynthesis genes SlYUCCAs and activates their *** investigation revealed auxin accumulation in the graft junction under elevated ambient *** results illuminate the mechanism by which the PHYB-PIF4-auxin module promotes tomato graft formation in response to elevated ambient temperature.

关键词： Graft formation Tomato Temperature Vascular Auxin

Depression mechanism of sulfite ions on sphalerite and Pb^(2+)activated sphalerite in the flotation separation of galena from sphalerite

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International Journal of Minerals,Metallurgy and Materials 2025年第2期32卷 335-345页

作者： feng zhang Chenyang zhang Linlin Wu Wei Sun Hongliang zhang Jianhua Chen Yong Pei Songjiang Li Engineering Research Center of Ministry of Education for Carbon Emission Reduction in Metal Resource Exploitation and Utilization Hunan International Joint Research Center for Efficient and Clean Utilization of Critical Metal Mineral ResourcesSchool of Minerals Processing and BioengineeringCentral South UniversityChangsha 410083China State Key Laboratory of Mineral Processing Beijing General Research Institute of Mining&MetallurgyBeijing 100160China Hunan Provincial Key Laboratory of Micro&Nano Materials Interfaces Science College of Chemistry and Chemical EngineeringCentral South UniversityChangsha 410083China School of Resources Environment and MaterialsGuangxi UniversityNanning 530004China Department of Chemistry Xiangtan UniversityXiangtan 411105China China Railway Resource Group Co.Ltd Beijing 102300China

The depression mechanism of sulfite ions on sphalerite and Pb^(2+)activated sphalerite in the flotation separation of galena from sphalerite still lacked in-depth ***,the depression mechanism of sulfite ions on sphalerite and Pb^(2+)activated sphalerite in the flotation separation of galena from sphalerite was further systematically investigated with experiments and density functional theory(DFT)*** X-ray photoelectric spectroscopy(XPS)results,DFT calculation results,and frontier molecular orbital analysis indicated that sulfite ions were difficult to be adsorbed on sphalerite surface,suggesting that sulfite ions achieved depression effects on sphalerite through other non-adsorption ***,the oxygen content in the surface of sphalerite treated with sulfite ions in creased,which enhanced the hydrophilicity of the sphalerite and further increased the difference in hydrophilicity between sphalerite and ***,sulfite ions were chelated with lead ions to form PbSO_(3)in *** hydrophilic PbSO_(3)was more easily adsorbed on sphalerite than *** interaction between sulfite ions and lead ions could effectively inhibit the activation of *** addition the UV spectrum showed that after adding sulfite ions,the peak of perxanthate in the sphalerite treated xanthate solution was significantly stronger than that in the galena with xanthate solution,indicating that xanthate interacted more readily with sulfite ions and oxygen mo lecules within the sphalerite system,leading to the formation of ***,sulfite ions hardly depressed the flotation of ga lena and could promote the flotation of galena to some *** study deepened the understanding of the depression mechanism o sulfite ions on sphalerite and Pb^(2+)activated sphalerite.

关键词： sphalerite galena sulfite ion density functional theory depression mechanism

Optimizing battery deployment: Aging trajectory prediction enabling homogenous performance grouping

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Journal of Energy Chemistry 2025年第1期100卷 565-577页

作者： Shuquan Wang feng Gao Zhan Ma Hao Tian Yusen zhang School of Control Science and Engineering Shandong UniversityJinan 250061ShandongChina Key Lab of Power System Intelligent Dispatch and Control of Ministry of Education Shandong UniversityJinan 250061ShandongChina

As battery deployments in electric vehicles and energy storage systems grow, ensuring homogeneous performance across units is crucial. We propose a multi-derivative imaging fusion(MDIF) model, employing advanced imaging and machine learning to predict battery aging trajectories from minimal initial data, thus facilitating effective performance grouping before deployment. Utilizing a derivative strategy and Gramian Angular Difference Field for dimensional enhancement, the MDIF model uncovers subtle predictive features from discharge curve data after only ten cycles. The architecture includes a parallel convolutional neural network with lateral connections to enhance feature integration and *** on a self-developed dataset, the model achieves an average root-mean-square error of 0.047 Ah and an average mean absolute percentage error of 1.60%, demonstrating high precision and *** robustness is further validated through transfer learning on two publicly available datasets, adapting with minimal retraining. This approach significantly reduces the testing cycles required, lowering both time and costs associated with battery testing. By enabling precise battery behavior predictions with limited data, the MDIF model optimizes battery utilization and deployment strategies, enhancing system efficiency and sustainability.

关键词： Lithium-ion battery Battery prognostics Fusion model Convolutional neural network Transfer learning