Impact of the Number of Dissected Lymph Nodes on Survival for Gastric Cancer after Distal Subtotal Gastrectomy by Chang-Ming Huang, Jian-Xian Lin, Chao-Hui Zheng, Ping Li, Jian-Wei Xie, Jia-Bin Wang

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Utilizing the Postvascular Phase of Contrast-Enhanced Ultrasound to Predict Breast Cancer Lymph Node Metastasis by Jiuyi Ma, Ying Fu, Xiangmei Chen, Yuxuan Lin, Lan Zeng, Fang Mei, Ligang Cui

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Approximating Betweenness Centrality to Identify Key Nodes in a Weighted Urban Complex Transportation Network by Weiyan Liu, Xin Li, Tao Liu, Bin Liu

“…However, the identification of key nodes in existing urban transportation networks has mainly focused on nonweighted networks and the network information of the nodes themselves, which do not accurately reflect their global status. …”
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Structural changes in early-stage Parkinson’s disease with resting tremor at node, edge and network level by Yuke Zhong, Ying Liu, Huahua Su, Hang Liu, Guohui Liu, Zhihui Liu, Jiahao Wei, Junyi Wang, Yuchen She, Changhong Tan, Lijuan Mo, Lin Han, Fen Deng, Xi Liu, Lifen Chen

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The Axillary Nodal Harvest in Breast Cancer Surgery Is Unchanged by Sentinel Node Biopsy or the Timing of Surgery by B. E. Byrne, R. I. Cutress, J. Gill, M. H. Wise, C. Yiangou, A. Agrawal

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SP-GEM: Spatial Pattern-Aware Graph Embedding for Matching Multisource Road Networks by Chenghao Zheng, Yunfei Qiu, Jian Yang, Bianying Zhang, Zeyuan Li, Zhangxiang Lin, Xianglin Zhang, Yang Hou, Li Fang

“…Firstly, a road graph is constructed from the road network data, and geometric, topological features are extracted as node features of the road graph. …”
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Quantifying the non-isomorphism of global urban road networks using GNNs and graph kernels by Linfang Tian, Weixiong Rao, Kai Zhao, Huy T. Vo

“…This paper trains Graph Neural Networks (GNNs) and graph kernels to classify urban road networks and proposes using graph classification accuracy as a metric to quantify graph non-isomorphism. …”
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Trajectory-Based Road-Geometry and Crash-Risk Estimation with Smartphone-Assisted Sensor Networks by Dongwook Lee, Ilmin Kim, Minsoo Hahn

“…The proposed system consists of a number of node vehicles with smartphone applications for GPS data collection and a map server which aggregates the collected GPS trajectories and estimates road conditions. …”
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Dynamic Analysis of a Vehicle–Bridge System Under Excitation of Random Road Irregularities by Yue Zhang, Jiali Duan, Yongdou Liu, Zhidong Chen, Yangui Su, Shanyong Liu

“…A novel three-dimensional wheel–road coupling element is introduced to model the interactions between the wheel and road nodes. …”
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Study on the Hierarchical Structure of the “Belt and Road” Aviation Network Based on K-Core Analysis by Hongguang Yao, Huihui Xiao, Wei Wei

“…To explore the hierarchical characteristics of the aviation network of the “Belt and Road,” analyze the relationship between levels, and identify the core layer of the network, k-core analysis based on the “degree” value was designed and performed; the data of airports and air routes were collected to construct the “Belt and Road” aviation network model; then, k-core decomposition was conducted to reduce the size of nodes layer by layer from the outside to the inside, and a network structure model with 19 levels was obtained; the relationship between the coreness and centrality of nodes in the network was investigated, and the changes in the attribute of networks at different levels and the connection between networks were explored; according to the structural characteristics of the network, the “Belt and Road” aviation network was divided into three categories: the core layer, the middle layer, and the detail layer. …”
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Edge-based graph neural network for ranking critical road segments in a network. by Debasish Jana, Sven Malama, Sriram Narasimhan, Ertugrul Taciroglu

“…We pose the transportation network as a graph with roads as edges and intersections as nodes and deploy a Graph Neural Network (GNN) trained on a broad range of network parameter changes and disruption events to rank the importance of road segments. …”
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Strategic deployment of roadside units for effective vehicle-to-infrastructure communication to limit road accidents by Paule Kevin Nembou Kouonchie, Willy Stephen Tounsi Fokui, Danube Kirt Ngongang Wandji

“…Abstract With the level of motorization on the rise, road accidents are increasing predominantly in developing countries. …”
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A Type of Energy Hole Avoiding Method Based on Synchronization of Nodes in Adjacent Annuluses for Sensor Network by Chao Sha, Huan Chen, Chen Yao, Yao Liu, Ru-chuan Wang

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An Energy-Efficient Cluster-Based Vehicle Detection on Road Network Using Intention Numeration Method by Deepa Devasenapathy, Kathiravan Kannan

“…Using these methods, low featured information is generated with respect to the user in the road network. Although the existing schemes obtain urban traffic information, they fail to calculate the energy drain rate of nodes and to locate equilibrium between the overhead and quality of the routing protocol that renders a great challenge. …”
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Predictive Value of TRUS and CEUS Parameters for Lymph Node Metastasis in Rectal Cancer: A Retrospective Study by Su S, Huang X, Li X, Meng J, Huang J

“…Shitao Su,* Xuanzhang Huang,* Xigui Li, Jun Meng, Jianyuan Huang Department of Medical Ultrasound, the First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, People’s Republic of China*These authors contributed equally to this workCorrespondence: Jianyuan Huang, Department of Medical Ultrasound, the First Affiliated Hospital of Guangxi Medical University, 6 Shuangyong Road, Nanning, Guangxi Zhuang Autonomous Region, 530001, People’s Republic of China, Tel +86 771 5356899, Email huangjianyuan@sr.gxmu.edu.cnPurpose: To assess the predictive value of transrectal ultrasound (TRUS) combined with qualitative and quantitative parameters of contrast-enhanced ultrasound (CEUS) for lymph node metastasis (LNM) in rectal cancer (RC).Patients and Methods: This retrospective study analyzed preoperative clinical data, qualitative and quantitative TRUS and CEUS parameters, and postoperative pathological data from 535 patients with RC confirmed by surgical pathology. …”
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Identifying Polycentric Urban Structure Using the Minimum Cycle Basis of Road Network as Building Blocks by Yuanbiao Li, Tingyu Wang, Yu Zhao, Bo Yang

“…Finally, we construct two types of cycle-based dual networks for urban road networks by representing cycles as nodes and establishing edges between two cycles sharing a common node and edge, respectively. …”
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Path Planning in Narrow Road Scenarios Based on Four-Layer Network Cost Structure Map by Ping Wang, Hao Zhang, Youming Tang

“…To address the issues of insufficient safety distance and unsmooth paths in AGV path planning for narrow road scenarios, this paper proposes a method that integrates Voronoi-skeleton-based custom layers with traditional cost maps. …”
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The Impacts of Multiscale Urban Road Network Centrality on Taxi Travel: A Case Study in Shenzhen by Dan Wang, Yongxi Gong, Xin Zhang, Yaoyu Lin

“…Therefore, studying the structural characteristics of urban road networks is pivotal for improving the efficiency of traffic network nodes and for relieving traffic pressure. …”
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Assessment of Visual Quality and the Perception of Landscapes in the Roads Leading to City (Case Study: Bojnord City) by atefeh sedagati, shala dartoomi

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Interstitial fluid flow in an engineered human lymph node stroma model modulates T cell egress and stromal change by Jennifer H. Hammel, Abhinav Arneja, Jessica Cunningham, Maosen Wang, Sophia Schumaecker, Yamilet Macias Orihuela, Tochukwu Ozulumba, Jonathan M. Zatorski, Thomas J. Braciale, Chance John Luckey, Rebecca R. Pompano, Jennifer M. Munson

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