Showing 41 - 60 results of 397 for search 'node’s influence', query time: 0.08s Refine Results
  1. 41

    GSA: node failures tolerent spatial window query processing algorithm in wireless sensor networks by LIU Liang, QIN Xiao-lin, DAI Hua, SHEN Jia-jia

    Published 2008-01-01
    “…The grid size parameter was studied and a grid-based data collection schedule scheme to avoid the message collisions in the process of data collection was proposed. Finally, the influence of node density, the probability of node failure, query region size on the success rate of a query and the influence of node density, query message size, sensed data size, query region size, the probability of node failure on energy consumption were analysed. …”
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  2. 42

    Redistribution of Nodes with Two Constraints in Meshless Method of Line to Time-Dependent Partial Differential Equations by Jafar Biazar, Mohammad Hosami

    Published 2015-01-01
    “…In integrating step, choosing a suitable set of points, such as adaptive nodes in spatial domain, can be useful, although in some cases this can cause ill-conditioning. …”
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  3. 43

    Low error floor LT coding algorithm by using fixed-length node classification window by Xin SONG, Naiping CHENG, Shuyan NI, Yurong LIAO, Tuofeng LEI

    Published 2021-09-01
    “…To solve the problem of high error floor for LT codes in additive white Gaussian noise (AWGN) channels, an improved coding scheme was designed.A fixed-length classification window was used to sort out the information nodes with relatively small degrees.Then these nodes would be forced to participate in the coding process frequently, so that they could obtain sufficiently high reliability.To design the optimal parameters, firstly, the bit error rate (BER) performance of LT codes and the cause of the error floor were analyzed, and the theoretical BER lower bound was introduced as the first constraint.Secondly, the extrinsic information gain loss ratio (GLR) was designed to measure the convergence behavior of the improved LT code, and maximizing the GLR was denoted as the second constraint.Finally, the influence of different parameters on algorithm efficiency and coding complexity were analyzed, and the principle of priority selection of parameters was pointed out as the third constraint.The simulation results show that compared with the conventional LT code, the proposed algorithm can reduce the error floor by nearly three orders of magnitude.Besides, the designed LT code outperforms the existing LT codes in literature in terms of bit error rate (BER) performance.…”
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  4. 44

    An Optimization Coverage Strategy for Wireless Sensor Network Nodes Based on Path Loss and False Alarm Probability by Jianing Guo, Yunshan Sun, Ting Liu, Yanqin Li, Teng Fei

    Published 2025-01-01
    “…The model can achieve full coverage of the area with only 50 nodes, while the exponential decay model requires 54 nodes, and the coverage of the 0/1 model is still less than 70% at 60 nodes. …”
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  5. 45

    Influential Nodes in the OBOR Fossil Energy Trade Network Based on D-S Theory: Detection and Evolution Analysis by Cuixia Gao, Simin Tao, Kehu Li, Yuyang He

    Published 2022-01-01
    “…The initial result of the heterogeneity characteristics of the constructed network drives us to explore the core node issue further. The main detected evidential nodes include Russia, Kazakhstan, Czechia, Slovakia, Egypt, Romania, China, Saudi Arabia, and Singapore, which also have higher impact on network efficiency. …”
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  6. 46

    Risk factors for pelvic lymph node metastasis in cervical cancer: a retrospective analysis of 186 patients by Xingyu Sun, Lijuan He, Shaohua Wang

    Published 2025-01-01
    “…BackgroundPelvic lymph node metastasis is a critical factor influencing prognosis and treatment strategies in cervical cancer patients. …”
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  7. 47

    The Application of Three-dimensional Shear Wave Elastography in the Detection of Inguinal Lymph Node Metastasis in Gynecological Malignancies by Yuping Shen, Jiulong Dai, Jiami Li, Man Lu

    Published 2025-01-01
    “…Background: Accurate assessment of lymph node involvement is essential for prognosis and guiding treatment decisions in gynecological cancers, as it directly influences therapeutic strategies and patient outcomes. …”
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    Importance Analysis of Causative Nodes for Accident Chains of Railway Locomotive Operation Based on STPA-PageRank Method by Ping WAN, Wei-Lun YANG, Jie-Wen LUO, Xiao-Feng MA

    Published 2025-02-01
    “…Especially, no effective control behaviour (H7) and false control behaviour (H10) are the top two important causative nodes among all human factors. Besides, being forced to stop (D39) and overrunning of signal (D42) are the top two important causative nodes among unsafe events. …”
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    Article
  11. 51

    A Novel Influence Maximization Algorithm for a Competitive Environment Based on Social Media Data Analytics by Jie Tong, Leilei Shi, Lu Liu, John Panneerselvam, Zixuan Han

    Published 2022-06-01
    “…The problem of influence maximization in an environment involves selecting the seed node set for certain competitive information, so that it can avoid the influence of other information, and ultimately affect the largest set of nodes in the network. …”
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  12. 52

    Atrioventricular nodal reentrant tachycardia onset, sustainability, and spontaneous termination in rabbit atrioventricular node model with autonomic nervous system control by Maxim Ryzhii, Elena Ryzhii

    Published 2025-01-01
    “…The activity of the autonomic nervous system (ANS) is known to influence episodes of AVNRT, yet the precise mechanisms underlying this effect remain incompletely understood. …”
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  13. 53

    Prognostic significance of pathological response and lymph node status in neoadjuvant immunotherapy for potentially resectable non-small cell lung cancer by Yuan Xu, Dongjie Ma, Yingzhi Qin, Hongsheng Liu

    Published 2025-12-01
    “…Lymph node status significantly influences prognosis, even in initially unresectable cases. …”
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  14. 54

    Influence diffusion model based on affinity of dynamic social network by Yun-fang CHEN, Tao XIA, Wei ZHANG, Jin LI

    Published 2016-10-01
    “…Recently,influence maximization model is a hot issue in the field of social network influence,while the traditional independent cascade model is generally based on static network with a fixed value of activation probability.DDIC model,which was a dynamic network influence diffusion model with attenuation factor was proposed.It calculated the activation probability between nodes via affinity propagation,and according with dynamic segmentation of social network time slice,calculation of influence on proliferation of next time slice with the current time slice of activation probability performance decay.The experimental results show that the nodes in the DDIC model have more chances to active the neighbor and the average probability of activing of the DDIC model is higher.Further experiments show that influence value via computing with affinity propagation can reflect the process of the spread model more accurately.…”
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  15. 55

    Immunohistochemical Expression of Vascular Endothelial Growth Factor (VEGF) in Primary Canine Mast Cell Tumors and Related Regional Lymph Node Metastasis by Alice Corrêa Rassele, Isabella Oliveira Almeida, Maylla Garschagen Gava, Pedro Antônio Bronhara Pimentel, Antonio Giuliano, Felipe Augusto Ruiz Sueiro, Ayisa Rodrigues de Oliveira, Andrigo Barboza de Nardi, Rodrigo dos Santos Horta

    Published 2025-01-01
    “…The aim of this study was to evaluate VEGF expression in canine mast cell tumors and their respective lymph node metastases. For this purpose, 28 patients with mast cell tumors and confirmed regional lymph node metastasis were selected. …”
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  16. 56

    Conventional type 1 dendritic cells in the lymph nodes aggravate neuroinflammation after spinal cord injury by promoting CD8+ T cell expansion by Li-Qing Wang, Xiao-Yi Wang, Yue-Hui Ma, Heng-Jun Zhou

    Published 2025-02-01
    “…This study aims to explore the molecular mechanism by which classical dendritic cells (cDC1s) influence CD8+ T cell expansion in SCI. Methods Peripheral blood samples from patients with SCI and spinal cord tissues from SCI mice were collected, and the population of cDC1 subset was analyzed by flow cytometry. …”
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  17. 57

    An advertisement dissemination strategy with maximal influence for Internet-of-Vehicles by Yanfei Lu, Zihan Zhao, Bowu Zhang, Qinghe Gao

    Published 2019-11-01
    “…In particular, we present the computation of node marginal gain in four cases by examining vehicle connectivity and topology. …”
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    Transthoracic versus transhiatal esophagectomy – influence on patient survival by Mariusz Łochowski, Barbara Łochowska, Józef Kozak

    Published 2016-12-01
    “…The length of patient survival was influenced by metastases in the nearby lymph nodes (p < 0.0001) and the presence of adenocarcinoma. …”
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