Future research of supply chain resilience: Network perspectives and incorporation of more stakeholders by L. Jeff Hong, Jinzhi Li, Xiaole Wu, Shuyue Yi

“…Since the disruptions caused by such shocks are more systematic and the duration is harder to predict compared to natural disasters or other operational risks, we highlight two features for future supply chain research: network perspectives and incorporation of more stakeholders such as governments that can influence overarching performances of industrial and supply chains. …”
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Questions of axillary region surgery in breast cancer patients after systemic neoadjuvant therapy by A. A. Bozhok, O.  N. Tsarev, S. A. Maysuradze, A. I. Gil

“…The study of a limited number of axillary lymph nodes after neoadjuvant therapy and refusal of lymphadenectomy in the absence of metastatic lesions is becoming more common. …”
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Comprehensive influence evaluation algorithm of complex network nodes based on global-local attributes by Weijin JIANG, Ying YANG, Tiantian LUO, Wenying ZHOU, En LI, Xiaowei ZHANG

“…Mining key nodes in the network plays a great role in the evolution of information dissemination, virus marketing, and public opinion control, etc.The identification of key nodes can effectively help to control network attacks, detect financial risks, suppress the spread of viruses diseases and rumors, and prevent terrorist attacks.In order to break through the limitations of existing node influence assessment methods with high algorithmic complexity and low accuracy, as well as one-sided perspective of assessing the intrinsic action mechanism of evaluation metrics, a comprehensive influence (CI) assessment algorithm for identifying critical nodes was proposed, which simultaneously processes the local and global topology of the network to perform node importance.The global attributes in the algorithm consider the information entropy of neighboring nodes and the shortest distance nodes between nodes to represent the local attributes of nodes, and the weight ratio of global and local attributes was adjusted by a parameter.By using the SIR (susceptible infected recovered) model and Kendall correlation coefficient as evaluation criteria, experimental analysis on real-world networks of different scales shows that the proposed method is superior to some well-known heuristic algorithms such as betweenness centrality (BC), closeness centrality (CC), gravity index centrality(GIC), and global structure model (GSM), and has better ranking monotonicity, more stable metric results, more adaptable to network topologies, and is applicable to most of the real networks with different structure of real networks.…”
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Predicting the availability of power line communication nodes using semi-supervised learning algorithms by Kareem Moussa, Khaled Mostafa Elsayed, M. Saeed Darweesh, Abdelmoniem Elbaz, Ahmed Soltan

“…The more the machine learning models learn, the more accurate they become, as the model becomes always updated with the node’s continuous availability status, so self-training algorithms have been used. …”
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Enhanced risk of multiple sentinel lymph node basins in truncal and head and neck melanoma by Harmeet K Bhullar, Lipi Shukla, Ramin Shayan, Frank Bruschino-Raiola

“…# Introduction Truncal and head and neck head and neck melanomas have a greater propensity to drain to multiple lymph node basins (MLNB) compared to extremity melanomas, which drain predominantly to a single lymph node basin (SLNB). …”
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Reassessing the Prognostic Value of Lymph Node Metastasis in Deficient Mismatch Repair Colorectal Cancer by Zilan Ye, Dakui Luo, Fan Chen, Jiayu Chen, Zezhi Shan, Junyong Weng, Yu Zhang, Qingguo Li, Xinxiang Li

“…Traditional prognostic factors were compared with lymph node-based models (NLN, LNR, LOODS) for their ability to predict overall survival (OS) and disease-free survival (DFS). …”
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A Node Ranking Method Based on Multiple Layers for Dynamic Protein Interaction Networks by Bin Li, Li Pan, Jing Sun, Haoyue Wang, Junqiang Jiang, Bo Yang, Wenbin Li

“…The experimental results for the identification of essential proteins show that the node ranking method based on multiple layers is superior to those based on a single layer and can help to identify essential proteins more accurate.…”
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Mesenchymal phenotype of CTC-enriched blood fraction and lymph node metastasis formation potential. by Aleksandra Markiewicz, Magdalena Książkiewicz, Marzena Wełnicka-Jaśkiewicz, Barbara Seroczyńska, Jarosław Skokowski, Jolanta Szade, Anna J Żaczek

“…Whereas mesenchymal CTCs are considered to be more malignant than epithelial CTCs, factors responsible for this aggressiveness have not been thoroughly defined. …”
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The Androgen Receptor Bridges Stem Cell-Associated Signaling Nodes in Prostate Stem Cells by Alastair H. Davies, Amina Zoubeidi

“…It is now clear that stem cell regulatory networks are far more complex. In this review, we examine the role of the androgen receptor (AR) in coordinating interactions between signaling nodes that govern the balance of cell fate decisions in prostate stem cells.…”
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Evaluation model of node importance in directed scale-free network based on cascade failure by Haoran LIU, Xingqi WANG, Yujing DENG, Yuhua QIN

“…In order to evaluate the importance of nodes in a directed scale-free network accurately,the protection strategy can be better implemented and the destruction resistance of the network can be improved.Considering the changes of node load and network connectivity before and after cascading failure,a directed scale-free network node importance evaluation model based on cascading failure was proposed.Firstly,a cascading failure model of directed network was established to deduce the load of nodes before failure.Then,a node importance evaluation model was constructed by combining the node load and its location during data transmission.Experimental results show that when the network is attacked selectively,the number of generated sub-graphs and the network robustness change more obviously after the failure of key nodes measured by the model,providing experimental data for specific applications.…”
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D2, D3 lymph node dissection importance in colon cancer surgery by E. A. Dzhenkova, E. A. Mirzoyan, A. A. Maslov, Yu. A. Gevorkyan, D. A. Kharagezov, A. G. Milakin, O. N. Stateshniy, O. Yu. Kaymakchi, A. V. Dashkov, G. V. Kaminskiy, V. E. Kolesnikov, S. A. Malinin, R. E. Tolmakh, L. Kh. Chalkhakhyan, D. A. Savchenko, M. V. Voloshin, A. V. Snezhko, N. V. Soldatkina

“…Colon cancer (CC) amounts for more than half of all cases of CRC, and it’s incidence and mortality remain rather high.Surgery remains the main method of CRC treatment, and determining the extent of surgery and lymph node dissection remains an urgent problem.For the first time in Japan, a classification of groups of lymph nodes (l.n.) was proposed depending on the level of lymph outflow and location in relation to the main vessels. …”
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Pilot spoofing detection algorithm for edge nodes based on heterogeneous pilot energy estimation by Shiguo WANG, Shujuan TIAN, Qingyong DENG

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Multi-sensing node convolution fusion identity recognition algorithm for radio digital twin by Guofeng WEI, Guoru DING, Yutao JIAO, Yitao XU, Daoxing GUO, Peng TANG

“…Electromagnetic space is an important link to empower and coordinate sea, land, air, space and network.Electromagnetic target recognition provides important radio target identity information for the twin construction of electromagnetic space, so that it can describe and depict the identity situation of electromagnetic targets in digital space.However, a single sensing node is vulnerable to interference, and its recognition performance is limited.Wrong recognition results will provide radio digital twin with conflicting identity information.Therefore, based on the requirements of radio digital twin in electromagnetic space, a radio target recognition framework for radio digital twin was constructed and a multi-sensing node convolution neural network individual identity fusion recognition algorithm was proposed.Compared with the nearest single sensing node, the recognition performance is improved by 6.29% by deploying the multi-node recognition network in the actual scene, which provides more accurate individual identity information.…”
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Analysis of College Classes Based on U-CLASS System Using Personal Mobile Nodes by Chonggun Kim, Jeongmi Kim, Hohwan Park, Ilkyu Ha

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Multi-sensing node convolution fusion identity recognition algorithm for radio digital twin by Guofeng WEI, Guoru DING, Yutao JIAO, Yitao XU, Daoxing GUO, Peng TANG

“…Electromagnetic space is an important link to empower and coordinate sea, land, air, space and network.Electromagnetic target recognition provides important radio target identity information for the twin construction of electromagnetic space, so that it can describe and depict the identity situation of electromagnetic targets in digital space.However, a single sensing node is vulnerable to interference, and its recognition performance is limited.Wrong recognition results will provide radio digital twin with conflicting identity information.Therefore, based on the requirements of radio digital twin in electromagnetic space, a radio target recognition framework for radio digital twin was constructed and a multi-sensing node convolution neural network individual identity fusion recognition algorithm was proposed.Compared with the nearest single sensing node, the recognition performance is improved by 6.29% by deploying the multi-node recognition network in the actual scene, which provides more accurate individual identity information.…”
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Research on dynamic evaluation method of individual scientific impact under multiple key nodes by Shuang Ma

“…A two-node piecewise linear regression is used to divide the scientists’ individual academic trajectories. …”
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Differentiation grade as a risk factor for lymph node metastasis in T1 colorectal cancer by Osamu Shiina, Shin‐ei Kudo, Katsuro Ichimasa, Yuki Takashina, Yuta Kouyama, Kenichi Mochizuki, Yuriko Morita, Takanori Kuroki, Shun Kato, Hiroki Nakamura, Shingo Matsudaira, Masashi Misawa, Noriyuki Ogata, Takemasa Hayashi, Kunihiko Wakamura, Naruhiko Sawada, Toshiyuki Baba, Tetsuo Nemoto, Fumio Ishida, Hideyuki Miyachi

“…Abstract Objectives Japanese guidelines include high‐grade (poorly differentiated) tumors as a risk factor for lymph node metastasis (LNM) in T1 colorectal cancer (CRC). …”
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Identifying the Key Nodes and Sections of Urban Roadway Network Based on GPS Trajectory Data by Jing Wang, Chunjiao Dong, Chunfu Shao, Shichen Huang, Shuang Wang

“…This paper proposes a novel approach to identify the key nodes and sections of the roadway network. The taxi-GPS trajectory data are regarded as mobile sensor to probe a large scale of urban traffic flows in real time. …”
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G-KAN: Graph Kolmogorov-Arnold Network for Node Classification Using Contrastive Learning by Lining Yuan

“…The learnable activation function strategy enhances the representation ability, making node representations more distinguishable, thereby improving both accuracy and generalization.…”
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DEFINITION OF COFFICIENTS RECOVERY SPEEDS AT IMPACT OF THE STRIKER ON THE TOOL AT THE NODES OF CONSTRUCTION AND MINING MACHINES by B. N. Stikhanovskiy, L. M. Stikhanovskaya

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