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  1. 221

    Association of clinicopathological factor with lymph node metastasis in rectal cancer patients: a retrospective cohort study by Yangfeng Lin, Zhijie You, Zhijing Lin, Siming Wang, Guohua Yang

    Published 2025-05-01
    “…Results No significant differences were observed between the high NLR (H-NLR) and low NLR (L-NLR) groups in terms of clinicopathological characteristics, including TNM stage, perineural invasion (PNI), lymphovascular invasion (LVI), or serum levels of CEA and CA19-9 respectively (p > 0.05).In contrast, the high PLR (H-PLR) group showed significantly higher prevalence of several adverse pathological features: The H-PLR group had a higher positive PNI (54.2% vs.25.0%,p = 0.04), greater positive LVI(51.6% vs.28.6%,p = 0.025),and more positive TDs (14.4% vs.0,p = 0.028), increased lymph node metastasis (52.9% vs.17.9%,p < 0.001), more elevated CEA (43.1% vs.14.3%,p = 0.005) and more advanced tumor stage (stage II + stage III,81% vs.67.9%,p = 0.003).Univariate analysis identified several factors significantly associated with LNM: T stage (OR = 3.156, 95%CI:1.580–6.303),positive PNI (OR = 6.182,95%CI:3.242–11.787),positive LVI (OR = 10.271,95%CI:5.177–20.375),H-PLR(OR = 5.175,95%CI:1.870−14.321),positive TDs (OR = 3.390,95%CI:1.261–9.117),TLN(OR = 1.053,95%CI:1.005–1.103),elevated CEA(OR = 3.313,95%CI:1.655–5.920) and elevated CA199 (OR = 2.248,95%CI:1.012–4.992) were correlated with LNM using univariate analysis, but only positive LVI(adjusted OR = 6.203,95%CI:2.892–13.303,p < 0.001) and positive PNI (adjusted OR = 3.086,95%CI:1.341–7.102,p = 0.008) were the independent risk factors for LNM using multivariate analysis. …”
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  2. 222

    The central lymph node dissection using carbon nanoparticle in transoral vestibular approach endoscopic thyroid surgery by Hui Li, Zeyang Liu, Wu Li

    Published 2025-08-01
    “…Compared with the control group, there was no significant difference between the experimental group and the control group in the proportion of RRLN, RLN, PLN, PR, and lymph node positivity. The differences in the number of lymph nodes of the same group: small lymph nodes have more RRLN and RLN than large lymph nodes, and the difference is statistically significant. …”
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  3. 223

    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 experimental results indicate that the proposed model more accurately captures the signal transmission and detection characteristics of sensor nodes in WSNs. …”
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  4. 224
  5. 225

    RAWSN: A Routing Algorithm Based on Auxiliary Nodes to Reduce Energy Consumption in Wireless Sensor Networks by A.A. Baradaran

    Published 2013-12-01
    “…In this paper, an algorithm , based on genetics and auxiliary nodes, to reduce energy consumption in wireless sensor networks has been presented. …”
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  6. 226

    An improved DV-Hop localization with minimum connected dominating set for mobile nodes in wireless sensor networks by Gulshan Kumar, Mritunjay Kumar Rai, Rahul Saha, Hye-jin Kim

    Published 2018-01-01
    “…Different techniques and measures to calculate the location of unknown nodes were introduced in recent past. But the issue of nodes’ mobility requires more attention. …”
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  7. 227

    Parasitological and Pathological Investigations on Linguatula serrata nymphs in Mesenteric Lymph Nodes in Sheep In Konya Region in Turkey by Osman Selçuk Aldemir, Meral Aydenizöz, Özlem Ateşoğlu

    Published 2014-05-01
    “…In this study was aimed to investigate spread and pathological findings of Linguatula serrata nymphs in mesenteric lymph nodes (MLNs) in sheep. A total of 1000 MLNs from 140 sheep (125 male and 15 female) were collected from a commercial (Konet) abattoir. …”
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  8. 228

    Dynamic PageRank with Decay: A Modified Approach for Node Anomaly Detection in Evolving Graph Streams by Ocheme Anthony Ekle, William Eberle

    Published 2024-05-01
    “…To design a model capable of adapting to dynamic changes, we introduce an approach that utilizes a modified dynamic "PageRank-with-Decay" as a node scoring function. This method enables the detection of sudden dynamic graph changes based on node importance scores, leveraging the temporal evolution of graph structures at each timestep. …”
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  9. 229

    Efficient low-delay routing algorithm for opportunistic networks based on cross-layer sensing of encountered nodes by Zhi REN, Jian-wei SUO, Hong CHEN, Zhong-hao XU, Qian-bin CHEN

    Published 2013-10-01
    “…An efficient low-delay routing algorithin,name epidemic routing based on cross-layer encountered-node sens-ing (ERCES)was proposed to address the issue that the epidemic-based routing algorithms have some extralatency in sensing encountered nodes and extra overhead in exchanging data packets.ERCES achieves to speed sensing encountered nodes through cross-layer design among the PHY,MAC,and network layers.Moreover,to reduce overhead and to de-crease data latency,it makes a node send novel data packet immediately after encountering other nodes,sends the packets close-by their destinations firstly after receiving summary vector(SV)packets,adaptively varies the period of HELLO packets and deletes the packets reaching their destinations from nodes' memory with the help of SVs.Theoretical anal-,ysis verifies the effectiveness of ERCES.And simulation results show that ERCES reduces by at least 11.3% the control overhead by at least 8.2%,2.1% memory overhead by more than 2.1%,and the average end-to-end delay by at least 11.3%.…”
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  10. 230

    Selective autonomic stimulation of the AV node fat pad to control rapid post-operative atrial arrhythmias. by Marco A Mercader, Dingchao He, Aditya C Sharma, Mark C Marchitto, Gregory Trachiotis, Gene A Bornzin, Richard Jonas, Jeffrey P Moak

    Published 2017-01-01
    “…FP stimulation at increasing stimulation voltage (SV) demonstrated a voltage-dependent effect (8 +/- 14% (low V) vs. 63 +/- 17 (high V) %, p<0.001). In summary, AV node fat pad stimulation had a selective effect on the AV node by decreasing AV nodal conduction, with little effect on atrial activity.…”
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  11. 231

    Metal-dependent cell death resistance contribute to lymph node metastasis of oral squamous cell carcinoma by Xuan-Hao Liu, Guang-Rui Wang, Nian-Nian Zhong, Zheng-Rui Zhu, Yao Xiao, Zheng Li, Lin-Lin Bu, Lin-Lin Bu, Bing Liu, Bing Liu

    Published 2025-02-01
    “…Additionally, R package oncoPredict was utilized to identify potential drug sensitivities.ResultsThe malignant cells in OSCC were divided into five subtypes, among which Epi_2 existed more in mPT and had higher MCDR characteristics. …”
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  12. 232
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  14. 234

    Evaluation and Prioritization of Nodes in Urban Critical Infrastructures for Increasing Resilience Against Disasters Using the DEMATEL Approach by Azar Ehrambaf Shooshtar, Parvaneh Samouei, Masumeh Messi Bidgoli

    Published 2025-03-01
    “…The identified critical points require more attention. Reinforcement of these nodes can significantly increase the resilience and performance of urban critical infrastructures. …”
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  15. 235

    Association between chronic stress-related amygdala metabolic activity and lymph node metastasis in endometrial cancer by Ki-Jin Ryu, Sungeun Kim, Chanmin Joung, Sanghoon Lee, Hyuntae Park, Jae Yun Song, Ki Joo Pahk, Kisoo Pahk

    Published 2024-11-01
    “…We aimed to investigate the association between AmygA and lymph node (LN) metastasis in patients with endometrial cancer. …”
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  16. 236

    A novel approach to node coverage enhancement in wireless sensor networks using walrus optimization algorithm by V. Saravanan, Indhumathi G, Ramya Palaniappan, Narayanasamy P, M. Hema Kumar, K. Sreekanth, Navaneethan S

    Published 2024-12-01
    “…This research aims to design intelligent and adaptive sensor networks by integrating metaheuristics with node coverage optimization in WSNs. By incorporating metaheuristics and optimizing node coverage, WSNs can become more resilient and robust, leading to the development of self-adapting, self-organizing networks capable of efficiently covering dynamic and diverse environments. …”
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  17. 237

    Log odds of positive lymph nodes as a prognostic marker in resectable triple negative breast cancer by Chenchen Zheng, Jingjing Huang, Shengping Zhao, Yuxi Peng, Qian Xiong, Xumei Li, Jiangming Xiang, Jie Jian

    Published 2025-08-01
    “…Abstract This study aimed to assess the prognostic value of the log odds of positive lymph nodes (LODDS) in resectable nonmetastatic triple-negative breast cancer (TNBC) and its potential role in informing postoperative treatment decisions. …”
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  18. 238

    Pharmacoeconomic study of fluorescent lymphography and radionuclide diagnostics methods for sentinel lymph node detection in breast cancer by E. P. Kulikov, M. V. Shomova, D. S. Titov, A. N. Demko, M. A. Maistrenko

    Published 2024-02-01
    “…Background. Sentinel lymph node (SLN) biopsy is a reliable diagnostic method used to assess the spread of the malignant process in regional lymph nodes. …”
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  19. 239

    Cost–Utility Analysis of Multigene Assays to Guide Treatment Decisions for Node-Negative Early Breast Cancer by Vladislav Berdunov, Gebra Cuyún-Carter, Yaneth Gil-Rojas, Christy Russell, Sara Campbell, Jennifer Racz, Yara Abdou

    Published 2024-11-01
    “…Abstract Introduction Clinicopathologic and patient factors, such as tumor grade, size, age, and menopausal status, provide limited prognostic and predictive information in hormone receptor positive (HR +), human epidermal growth receptor 2 negative (HER2−), node-negative early-stage breast cancer, leading to potential over- or under-treatment. …”
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  20. 240

    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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