Specific Position of the Pulmonary Hilar Node in Cancer Immunity: Immunohistochemical and Morphometrical Study Using Lung Regional Nodes Obtained from Non-Small Cell Cancer Patient... by Masaya Aoki, Go Kamimura, Aya Harada-Takeda, Toshiyuki Nagata, Gen Murakami, Kazuhiro Ueda

“…This complementary distribution was more evident in nodes other than hilar nodes. In hilar nodes, the proportion of CD68-positive macrophages usually exceeds 50%. …”
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Community detection algorithm of hybrid node analysis and edge analysis in complex networks by Kun DENG, Qingfeng JIANG, Xingyan LIU

“…The community detection of hybrid node analysis and edge analysis in complex networks (CDHNE), a novel community detection algorithm, was proposed aiming at the problem that both edge community detection and node-based community detection algorithms had corresponding shortcomings in the process of detecting communities, which affected the quality of complex network community detection.The relatively stable characteristics of the edge in the networks were firstly used by the algorithm to construct a more accurate community structure through edge community detection at the early stage of algorithm execution.Then, after the formation of the edge communities, the flexible characteristics of the node were used to accurately detect the boundary of edge communities, so as to more accurately detect the community structure in the complex networks.In the computer-generated network experiments, when the community structure of the network gradually became fuzzy, the number of overlapping nodes and the number of communities to which the overlapping nodes belonged kept increasing.Compared to traditional algorithms, the accuracy of community detection and overlapping nodes detection were improved by an average of 10% and 15%, respectively, by the CDHNE algorithm.In the real network experiments, the tightness of the community structure detected by the CDHNE algorithm was better.Especially when facing large-scale networks with more than 100 000 nodes, the detection task was completed by the CDHNE algorithm with high quality, and the EQ value reached 0.412 1.The experimental results show that the CDHNE algorithm has advantages in operational stability and handling large-scale networks.…”
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Identifying vital nodes algorithm in social networks fusing higher-order information by Guanghui YAN, Meng ZHANG, Hao LUO, Shikui LI, Ting LIU

“…Identifying vital nodes is a basic problem in complex network research.The existing theoretical framework,mainly considered from the lower-order structure of node-based and edge-based relations often ignores important factors such as interactivity and transitivity between multiple nodes.To identify vital nodes more accurately,the motif,the high-er-order structure of the network,was studied as the basic unit.Firstly,a notion of higher-order degree of nodes in a com-plex network was proposed.Then,the higher-order structure and lower-order structure of nodes were fused into evidence theory.A semi-local identifying vital nodes algorithm fusing higher-order information of nodes was designed.The results of experiments on three real social networks show that the proposed algorithm can identify vital nodes more accurately in the network than the existing methods which only focus on the low-order structure.…”
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Role of Axillary Lymph Nodes Involvement in Some Complications of Modified Radical Mastectomy by Hussein Abbas Obaid, Mohammed Radhi Mohammed, Haider Hussein Abd

“…According to the number of lymph nodes involved, patients were allocated into group one (1–3 lymph nodes), or two (4–9), or three (10 or more). …”
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Microblog burst topic diffusion prediction algorithm based on the users and node scale by Wei WANG, Rui-guang LI, Yuan ZHOU, Wu YANG

“…Based on the scale of the user, topic diffusion prediction algorithms were proposed based on user and node scale respectively. Experiments show that the former can predict diffusion more accurately but with bad time complexity, and the latter node is more suitable for proc-essing large data sets.…”
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Identification of Important Nodes Based on Local Effective Distance-Integrated Gravity Model by Sheng Zhang, Fuhao Liu, Yuyuan Huang, Ziqiang Luo, Ka Sun, Hongmei Mao

“…To identify important nodes in complex networks more efficiently and accurately, we propose a novel method that leverages an improved effective distance fusion model to identify important nodes. …”
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A Node Influence Based Label Propagation Algorithm for Community Detection in Networks by Yan Xing, Fanrong Meng, Yong Zhou, Mu Zhu, Mengyu Shi, Guibin Sun

“…In spite of the advantages of LPA, the issue of its poor stability has not yet been well addressed. We propose a novel node influence based label propagation algorithm for community detection (NIBLPA), which improves the performance of LPA by improving the node orders of label updating and the mechanism of label choosing when more than one label is contained by the maximum number of nodes. …”
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DETECTION OF SENTINEL LYMPH NODES IN ORGAN-PRESERVING TREATMENT FOR INVASIVE CERVICAL CANCER by A. L. Chernyshova, L. A. Kolomiets, B. I. Chernov, I. G. Sinilkin

“…For early stages of cervical cancer, minimally invasive surgery leads to more beneficial outcomes compared to results of more extensive surgery. …”
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Cascading Failures in Power Grids: A Load Capacity Model with Node Centrality by Chaoyang Chen, Yao Hu, Xiangyi Meng, Jinzhu Yu

“…Here, we extend the cascading failure (Motter-Lai) model to a more realistic perspective, where each node’s load capacity is determined to be nonlinearly correlated with the node’s centrality. …”
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Characteristics of lymphocyte subpopulations in the peripheral blood and lymph nodes of patients with ovarian cancer by I. Zh. Shubina, A. N. Gritsay, L. T. Mamedova, A. V. Sergeev, S. A. Kuznetsov, N. R. Pogosyan, N. I. Lazareva, M. V. Kiselevsky

“…More and more data suggest that ovarian cancer (OC) is an immunogenic tumor. …”
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Over-the-Air Testing of Cognitive Radio Nodes in a Virtual Electromagnetic Environment by Rajesh K. Sharma, Wim Kotterman, Markus H. Landmann, Christopher Schirmer, Christian Schneider, Frank Wollenschläger, Giovanni Del Galdo, Matthias A. Hein, Reiner S. Thomä

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The sunny side of the network approach to psychopathology: Comparing nodes as either problems or strengths. by Jakob Schenström, Marie De Mey, Matthis Andreasson, Lene Lindberg, Felicia Sundström, Lars Klintwall

“…For every participant two networks were produced: one consisted of symptoms, such as “stuck in negative thoughts” as nodes (pathogenetic), the other health-promoting factors, such as “can let go of negative thoughts” as nodes (salutogenic). …”
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Node heterogeneous degree-based consistency maintenance method for unstructured overlay networks by YANG Lei, LI Ren-fa, HU Yi-ming, LI Ken-li

“…Replica strong consistency maintenance for unstructured overlay networks was studied.Current replica consistency maintenance algorithms was summarized,and a novel replica consistency maintenance algorithm:node heterogeneous degree-based of consistency maintenance algorithm（NHDCOM） was proposed.NHDCOM denoted the replica node capability by node heterogeneous degree（NHD）.It managed replica nodes using Chord protocol and collected those nodes NHD along with a replica heterogeneous degree collection tree（HDCT） built through the finger table-based ring partition method.Moreover,a replica update problem model was abstracted in NHDCOM,and then a minimum delay update-content tree algorithm based on dynamic programming method was proposed to improve the update speed.Theoretical analysis and simulation results demonstrate that this method is more efficient in maintaining strong replica consistency and updating replica nodes for unstructured overlay network systems.…”
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Time synchronization method for wireless sensor networks based on mobile reference nodes by Yu-qiang ZHANG, Jing-sha HE, Jing XU, Bin ZHAO, Fang-bo CAI

“…Most existing time synchronization methods in wireless sensor networks depend on the existence of one or more fixed reference nodes and on the propagation of synchronization messages in the networks.Thus,they often suffer from the disadvantages of high energy consumption and large cumulative error due to multiple layers of communication.To address such issues,a new time synchronization method based on a mobile reference node and the optimal mobile path is proposed.Firstly,the cellular coverage technique is analyzed to identify the optimal synchronization points.Then,the optimal mobile path with minimal length is designed.Finally,an efficient single hop time synchronize mechanism based on multiple timestamps in the MAC layer is presented.Comparison with other methods shows that the proposed method can achieve both higher synchronization accuracy and lower energy consumption.…”
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Iterative algorithm for locating nodes in WSN based on modifying average hopping distances by LIN Jin-zhao1, CHEN Xiao-bing1, LIU Hai-bo1

“…It can be concluded that the improved algorithm has obviously better locating performance in locating precision and precision stability at the cost of increasing appropriate communication and computation overhead, and is a more feasible locating scheme in WSN with both random distributing nodes and dynamic topology.…”
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Design of nodes importance assessment method for complex network based on neighborhood information by Xing LI, Jie ZHAN, Baoquan REN, Siqi ZHU

“…Accurate identification of influential nodes in complex networks is crucial for network management and network security.The local centrality method is concise and easy to use, but ignores the topological relationship between neighboring nodes and cannot provide globally optimal results.A node importance assessment method was proposed to correlate the node edge relationship and topology, which firstly applied the H-index and information entropy to assess the nodes, then combined the structural holes of the nodes with the structural characteristics of the nodes, and took into account the attribute of “bridging” while focusing on the node’s own quality and the amount of information about the neighboring nodes.The algorithm was validated by simulating the propagation process using the SIR model, and the Kendall correlation coefficient, complementary cumulative distribution function and propagation influence were applied to validate the validity and applicability of the method.Comparison of the experimental results on six real network datasets shows that the proposed method is more accurate than the traditional centrality methods in identifying and ordering the key nodes in the network.…”
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Detecting eavesdropping nodes in the power Internet of Things based on Kolmogorov-Arnold networks. by Rong Wang, Weibin Jiang, Yanjin Shen, Qiqing Yue, Kan-Lin Hsiung

“…This paper proposes an innovative method for eavesdropping node localization based on Kolmogorov-Arnold Networks (KANs). …”
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Temperature and Humidity Monitoring System Using Node-Red Based on MQTT Protocol by Eko Budi Utomo, Nurhaliza Izzaturrahmani

“…Node-RED acts as a visual interface to process, analyze, and display the temperature data in the form of an interactive dashboard. …”
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A Node-Based SIRS Epidemic Model with Infective Media on Complex Networks by Leyi Zheng, Longkun Tang

“…Furthermore, comparison between network node degree and its infected percents implies that there is a strong positive correlation between both; namely, the node with bigger degree is infected with more percents. …”
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An Enhanced Localization Method for Moving Targets in Coal Mines Based on Witness Nodes by Qingsong Hu, Yishan Ding, Lixin Wu, Can Cao, Shen Zhang

“…An enhanced localization method based on witness nodes (WitEnLoc) is proposed, in which some sensing nodes are selected as witness nodes to confirm the existence of the target at the site given by the initial localization value and improve the accuracy of the existing localization system. …”
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