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Improving Ocean Data Services with Semantics and Quick Index

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Journal of Computer Science & Technology 2021年第5期36卷 963-984页

作者： Xiao-Li Ren Kai-jun Ren Zi-Chen Xu Xiao-Yong Li Ao-Long Zhou jun-qiang song Ke-Feng Deng College of Computer Science and Technology National University of Defense TechnologyChangsha 410073China College of Meteorology and Oceanography National University of Defense TechnologyChangsha 410073China College of Computer Science and Technology Nanchang UniversityNanchang 330031China

Massive ocean data acquired by various observing platforms and sensors poses new challenges to data management and ***,it is difficult to find the desired data from the large amount of datasets efficiently and *** of existing methods for data discovery are based on the keyword retrieval or direct semantic reasoning,and they are either limited in data access rate or do not take the time cost into *** this paper,we creatively design and implement a novel system to alleviate the problem by introducing semantics with ontologies,which is referred to as Data Ontology and List-Based Publishing(DOLP).Specifically,we mainly improve the ocean data services in the following three ***,we propose a unified semantic model called OEDO(Ocean Environmental Data Ontology)to represent heterogeneous ocean data by metadata and to be published as data ***,we propose an optimized quick service query list(QSQL)data structure for storing the pre-inferred semantically related services,and reducing the service querying ***,we propose two algorithms for optimizing QSQL hierarchically and horizontally,respectively,which aim to extend the semantics relationships of the data service and improve the data access *** results prove that DOLP outperforms the benchmark ***,our QSQL-based data discovery methods obtain a higher recall rate than the keyword-based method,and are faster than the traditional semantic method based on direct ***,DOLP can handle more complex semantic relationships than the existing methods.

关键词： data service ocean data ontology semantic representation

De novo synthesis of atropisomeric benzofurans via Cu/SPDO complex catalyzed asymmetric formal [3 + 2] annulation

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Science China Chemistry 2025年第1期 174-180页

作者： Fan-Xiao Meng Xing-Yu Wang Ka Lu Ju-song Yang Fu-Min Zhang Ai-jun Ma Bao Du Yong-qiang Tu State Key Laboratory of Applied Organic Chemistry College of Chemistry and Chemical Engineering Lanzhou University School of Chemistry and Chemical Engineering Shanghai Jiao Tong University School of Biotechnology and Health Sciences Wuyi University

Herein, the de novo synthesis of atropisomeric benzofurans through the Cu/spirocyclic-pyrrolidine-oxazoline(SPDO) complex catalyze asymmetric formal [3 + 2] cycloaddition between quinones and ynamides is explored, producing a range of structurally diverse axially chiral benzofurans in satisfactory yields with good to excellent enantioselectivities. Furthermore, density functional theory calculations were applied to explain the possible reaction mechanism.

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Stable copper boron–imidazolate cage as Cu-riched enzyme for highly efficient electrocatalytic CO2 reduction to ethylene

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Science China Chemistry 2025年

作者： jun-qiang Chen Qiao-Hong Li Qin-Long Hong Ping Shao Hai-Xia Zhang Jian Zhang State Key Laboratory of Structural Chemistry Fujian Institute of Research on the Structure of Matter Chinese Academy of Sciences

Single-atom catalyst has garnered widespread attention to mimic mature enzymes due to its well-defined atomic structure and coordination environments. However, since the carbon–carbon（C–C） coupling reactions require synergistic catalysis of multiple sites, single-atom catalysts suffer from insufficient active sites and unclear reaction mechanisms. Controlling the reaction intermediates in a precisely targeted pocket through careful metal–organic cage design is therefore crucial. Here, we prepare a tetrahedral [Cu6L4]-type boron–imidazolate cage integrating highly active Cu sites and optimized cavity, which exhibits enzyme like specific catalytic performance in electrochemical CO2reduction reaction（CO2RR） to enhance the selectivity of *** analyses and computational calculations suggest that the single Cu site together with neighboring boron–imidazolate ligands provides suitably synergistic effects that enable the energetically favorable formation of an *COCHO intermediate, a key step determining selectivity. As a result, the [Cu6L4]-type cage of BIC-145 achieves a Faradaic efficiency of 28% for C2H4maintaining an average current density of -3.54 mA cm-2over a 5-hour electrolysis period. This work represents the first example for studying single-metal site catalysts with ultra-low coordination numbers through the rational design of metal–organic cages.

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Composite-mask GAN based on refined optical flow and disparity map for SLAM visual odometry

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Optoelectronics Letters 2025年

作者： JI Yuehui JIANG Jingwei LIU junjie song Yu GAO qiang School of Electrical Engineering and Automation， Tianjin University of Technology Tianjin Key Laboratory of Control Theory and Application for Complex Systems

Although deep learning methods have been widely applied in slam visual odometry over the past decade with impressive improvements， the accuracy remains limited in complex dynamic environments. In this paper， a composite mask-based generative adversarial network is introduced to predict camera motion and binocular depth maps. Specifically， a perceptual generator is constructed to obtain the corresponding parallax map and optical flow from between two neighboring frames. Then， an iterative pose improvement strategy is proposed to improve the accuracy of pose estimation. Finally， a composite mask is embedded in the discriminator to sense structural deformation in the synthesized virtual image， thereby increasing the overall structural constraints of the network model， improving the accuracy of camera pose estimation， and reducing drift issues in the Visual Odometer. Detailed quantitative and qualitative evaluations on the KITTI dataset show that the proposed framework outperforms existing conventional， supervised learning and unsupervised depth VO methods， providing better results in both pose estimation and depth estimation.

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Infiltration by monocytes of the central nervous system and its role in multiple sclerosis: reflections on therapeutic strategies

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Neural Regeneration Research 2025年第3期20卷 779-793页

作者： Guangyong Zhang Qing Yao Chubing Long Pengcheng Yi Jiali song Luojia Wu Wei Wan Xiuqin Rao Yue Lin Gen Wei jun Ying Fuzhou Hua Department of Anesthesiology the Second Affiliated Hospital of Nanchang UniversityNanchangJiangxi ProvinceChina Key Laboratory of Anesthesiology of Jiangxi Province NanchangJiangxi ProvinceChina

Mononuclear macrophage infiltration in the central nervous system is a prominent feature of neuroinflammation. Recent studies on the pathogenesis and progression of multiple sclerosis have highlighted the multiple roles of mononuclear macrophages in the neuroinflammatory process. Monocytes play a significant role in neuroinflammation, and managing neuroinflammation by manipulating peripheral monocytes stands out as an effective strategy for the treatment of multiple sclerosis, leading to improved patient outcomes. This review outlines the steps involved in the entry of myeloid monocytes into the central nervous system that are targets for effective intervention: the activation of bone marrow hematopoiesis, migration of monocytes in the blood, and penetration of the blood–brain barrier by monocytes. Finally, we summarize the different monocyte subpopulations and their effects on the central nervous system based on phenotypic differences. As activated microglia resemble monocyte-derived macrophages, it is important to accurately identify the role of monocyte-derived macrophages in disease. Depending on the roles played by monocyte-derived macrophages at different stages of the disease, several of these processes can be interrupted to limit neuroinflammation and improve patient prognosis. Here, we discuss possible strategies to target monocytes in neurological diseases, focusing on three key aspects of monocyte infiltration into the central nervous system, to provide new ideas for the treatment of neurodegenerative diseases.

关键词： blood–brain barrier macrophages monocytes multiple sclerosis neuroinflammation review therapy

南岭成矿带早古生代地层区划与岩石地层的厘定

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地层学杂志 2017年第3期41卷 256-265页

作者：牛志军杨文强宋芳何垚砚刘浩中国地质调查局武汉地质调查中心湖北武汉430205 中国地质调查局古生物与生命-环境协同演化重点实验室湖北武汉430205 中国地质大学(武汉)研究生院湖北武汉430074

南岭成矿带下古生界主体为浅变质碎屑岩夹碳酸盐岩、硅页岩建造,是钒钼铀、石煤、磷、铅锌矿的赋矿层位。由于历史原因,早古生代岩石地层序列在湘、桂、赣、粤各省区交界地区存在同物异名现象,需要重新厘定、完善。依据大地构造演化阶段... 详细信息

南岭成矿带下古生界主体为浅变质碎屑岩夹碳酸盐岩、硅页岩建造,是钒钼铀、石煤、磷、铅锌矿的赋矿层位。由于历史原因,早古生代岩石地层序列在湘、桂、赣、粤各省区交界地区存在同物异名现象,需要重新厘定、完善。依据大地构造演化阶段,将南岭成矿带早古生代划分为1个地层区——华南地层区,再依据处于盆地的不同位置划分为6个地层分区,一般在同一地层分区内采用同一套岩石地层序列,基于此,重点对湘、黔、桂、赣、粤各省区交界地区的寒武系和奥陶系进行了梳理,重新厘定和完善早古生代岩石地层序列,废弃部分岩石地层单位,以利于该地区地质矿产图的编制。

关键词：岩石地层地层分区寒武系奥陶系志留系南岭成矿带华南

A WSRF-enabled Distributed Data Mining Approach To Association Rules WEKA4WS -Based

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A WSRF-enabled Distributed Data Mining Approach To Associati...

2010 IEEE 2nd Symposium on Web Society

作者： Zheng Shi-ming~1,Yang jun-qiang~2,song Zi-ling~1,Miao Zhuang~1 1 Institute of Command Automation,PLA University of Science and Technology,Nanjing 2 Xi ''an Communication academy of PLA,Xi ''an,China

＜正＞As a latest member in distributed computing technology family,the grid computing can play an increasingly important role with the progress of the DDM（Distributed Data Mining） technology in recent ***,conventional data mining is not satisfied with the requirement due to the heterogeneous and distributed of the *** computing emerged as an important new field of distributed computing,which could support for distributed knowledge discovery *** paper has a try at combing the grid with web service in order to solve the problem of distributed association rules mining based on the research for the matrix theory,and achieves the distributed association rules algorithm by dint of Weka Library,presents a fast distributed association rules algorithm matrix-based,and also proves the correctness of the algorithm in theory. Finally it verifies the validity of the algorithm and the feasibility of the architecture with the distributed association rules based on *** effective and fast algorithm shows sound extension,short time complexity,space complexity and small communication *** evaluate the efficiency of the proposed algorithms,a performance analysis of Weka4WS for executing distributed data mining tasks in different network scenarios are presented.

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竞争环境下双目标零售平台销售模式选择

管理工程学报 2025年第1期39卷 227-242页

作者：张冲朱祎宋君南京邮电大学管理学院

电子商务行业发展迅速,具有“超越利润”战略导向以实现更广泛目标的组织正变得越来越普遍,兼顾消费者利益成为企业凸显竞争优势的方式。为此,本文构建由一个制造商和两个零售平台组成的两级供应链。其中,制造商和其中一个零售平台追求... 详细信息

电子商务行业发展迅速,具有“超越利润”战略导向以实现更广泛目标的组织正变得越来越普遍,兼顾消费者利益成为企业凸显竞争优势的方式。为此,本文构建由一个制造商和两个零售平台组成的两级供应链。其中,制造商和其中一个零售平台追求自身利润最大化,另外一个零售平台追求自身利润和消费者剩余的线性组合最大化,即考虑双目标最优。本文具体考虑两个零售平台分别选择转售模式或代理模式共四种情形,进而研究双目标零售平台销售模式选择问题,及其对供应链成员最优决策和供应链整体绩效的影响。结果表明:(1)在一定条件下,双目标零售平台能获得比竞争对手更高的利润;(2)当双目标零售平台选择转售模式时,无论其竞争对手选择哪种销售模式,其双目标策略都能使供应链总体利润得到优化;(3)当双目标零售平台的竞争对手选择代理模式时,其自身根据不同情况选择转售模式或者代理模式可以使两个零售平台的销售模式选择形成均衡。

关键词：双目标企业社会责任零售平台销售模式双渠道

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带助力器结构的推土机主离合器

建筑机械 2016年第12期36卷 68-70,73页

作者：赵青于洪军宋强山推工程机械股份有限公司山东济宁272000

介绍SD16T机械式推土机的主离合器,该离合器为多片、杠杆压紧、非经常接合湿式摩擦离合器,用于发动机动力的传递与切断,配有液压助力器,以减轻主离合器的操纵力,同时惯性制动器可防止主离合器轴的惯性旋转并保证变速箱齿轮平稳换挡。

关键词：助力器惯性制动器主离合器