Showing 681 - 700 results of 1,116 for search 'Node average', query time: 0.09s Refine Results
  1. 681

    DEVELOPMENT AND CHARACTERISATION OF 3D SOLID TUMOUR CELL MODELS FOR INDIVIDUALIZED CANCER TREATMENT by A. B. Danilova, T. L. Nekhaeva, N. A. Efremova, M. A. Maydin, E. I. Fedoros, I. A. Baldueva

    Published 2021-10-01
    “…The technology of low-adhesive surfaces makes it possible to successfully create three-dimensional models of a tumor node from malignant tumors cells of various histogenesis. …”
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  2. 682
  3. 683

    Factors associated with health-related quality of life in women with paid work at breast cancer diagnosis: a German repeated cross-sectional study over the first five years after p... by Batoul Safieddine, Siegfried Geyer, Stefanie Sperlich, Johannes Beller, Dorothee Noeres

    Published 2025-01-01
    “…Women were followed up at 6 months, 1 year and on average 5 years after primary surgery. The physical and mental wellbeing dimensions of HRQL were examined through the Short-Form health survey-12. …”
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  4. 684

    Dynamical network-based evaluation for neuromuscular dysfunction in stroke-induced hemiplegia during standing by Jinping Li, Na Zhang, Ying Xu, Juan Wang, Xianglian Kang, Runing Ji, Ke Li, Ying Hou

    Published 2024-10-01
    “…A measure of node centrality in network theory, degree of centrality (DC), was innovatively introduced to assess the contribution of single muscle in the multi-muscle dynamical coordination. …”
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  5. 685

    Modeling Study on Cascading Failures of Critical Infrastructure in Urban Flooding: A Case Study of the Maozhou River Basin by Ge Xinyu, Fan Dongli, Tian Zhan, Liu Qiaodan, Lyu Jiajie, Wang Yanlong

    Published 2025-04-01
    “…The results revealed the following. 1) Within the system's topological structure, the degree value of substation nodes is significantly higher than that of other facilities, making them a critical node for cascading failures triggered by floods. …”
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  6. 686

    Comparison of clinical efficacy between da Vinci® robotic surgery and laparoscopic surgery for rectal cancer: a report of 550 cases by Zhang Cheng, Ma Rui, Duan Fuxiao, Gao Guangrong, Li Da

    Published 2024-06-01
    “…No significant differences were observed between the two groups in terms of conversion to open surgery, time to first flatus, time to resume oral intake, complications that including wound pain degree [visual analogue scale (VAS)], indwelling catheter duration, hospital stay, number of lymph nodes dissected, distance from tumor to the lower margin of the specimen (P>0.05). …”
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  7. 687

    Analyzing cryptographic algorithm efficiency with in graph-based encryption models by Yashmin Banu, Biplab Kumar Rath, Debasis Gountia

    Published 2025-07-01
    “…Computational performance of (i) the worst-case time complexity of star algorithm (proposed) is O(bd) where b is the branching factor and d is the depth and space complexity is O(E + V) where E is the number of edges and V is the number of nodes, high (central node access) traversal efficiency, excellent (centralized graph encoding) suitability for graph-based encryption, very high structural simplicity, (ii) the worst case time complexity of A* Algorithm is O(bd) where b is the branching factor and d is the depth and space complexity is O(E + V) where E is the number of edges and V is the number of nodes, high (with good heuristic) traversal efficiency, good (needs proper graph abstraction) suitability for graph-based encryption, moderate structural simplicity, (iii) the average case time complexity and best case time complexity of Dijkstra's Algorithm is O((V + E) log V) and the worst case time complexity is O((V2) logV) and space complexity is O(V) where V is the number of vertices, moderate to high traversal efficiency, fair (efficient in weighted graphs) suitability for graph-based encryption, moderate structural simplicity, and (iv) Bellman-Ford Algorithm is O(V*E) time complexity and O(V) space complexity where V is the number of vertices and E is the number of edges, low traversal efficiency, limited (computationally expensive) suitability for graph-based encryption, moderate structural simplicity.…”
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  8. 688

    Intelligent Transmission Power Allocation for Distributed Beamforming in Wireless Sensor Networks by Sungmoon Chung, Inwhee Joe

    Published 2015-06-01
    “…In distributed beamforming, the maximum channel capacity could be changed according to the number of cooperating source nodes and the distance (between the average source nodes and destination). …”
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  9. 689

    Wireless Link-Quality Estimation in Smart Grid Environments by V. C. Gungor, M. K. Korkmaz

    Published 2012-02-01
    “…In this paper, the performance of the state-of-the-art link-quality estimation methods is investigated for different smart power grid environments, such as outdoor substation, underground network transformer vault, and main power control room, in terms of packet delivery ratio, average number of packet retransmissions, average number of parent changes, average number of hops, and average communication delay. …”
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  10. 690

    Initial experience of pure robotic single incision TME with SST technique for middle-low rectal cancer using the da Vinci SP system by Choi Nim, Kuok Chi Ian

    Published 2025-01-01
    “…The final pathology revealed the mean 6.6 ​cm middle-low located rectal cancer with average 3 lymph nodes detected. All the circumferential and distal resection margin were clear. …”
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  11. 691

    Probabilistic Routing Based on Two-Hop Information in Delay/Disruption Tolerant Networks by Xu Wang, Rongxi He, Bin Lin, Ying Wang

    Published 2015-01-01
    “…The results show that IPRA can significantly improve the average delivery rate while achieving a better or comparable performance with respect to average overhead, average delay, and total energy consumption compared with the existing algorithms.…”
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  12. 692

    Projections of Temperature and Precipitation Changes under CMIP6 Scenarios in Sistan-va-Baluchestan Province by S. Mirshekari, F. Yaghoubi, S.A. Hashemi

    Published 2025-01-01
    “…The annual increase in the average maximum and minimum temperature will be mainly due to the increase in air temperature in the months of January, February, August, September, October, November and December. …”
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  13. 693

    A Model for Hourly Solar Radiation Data Generation from Daily Solar Radiation Data Using a Generalized Regression Artificial Neural Network by Tamer Khatib, Wilfried Elmenreich

    Published 2015-01-01
    “…This paper presents a model for predicting hourly solar radiation data using daily solar radiation averages. The proposed model is a generalized regression artificial neural network. …”
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  14. 694

    Distributed Routing and Spectrum Allocation Algorithm with Cooperation in Cognitive Wireless Mesh Networks by Zhigang Chen, Zhufang Kuang, Yiqing Yang, Xiaoheng Deng, Ming Zhao

    Published 2012-06-01
    “…Simulation results show that the proposed algorithm DRSAC-W with cooperation can alleviate the high delay due to the heterogeneity of available channels of different nodes and achieve low average end-to-end delay.…”
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  15. 695

    Models of ordered polling of parallel data transmission channels by Vladimir Vasilyevich Fedorenko, Gennady Vasilievich Slyusarev, Irina Vladimirovna Samoylenko

    Published 2022-09-01
    “…Its characteristics are: the customers are signals with exceeded threshold; queuing nodes are deined by reversible registers; serving device is polling unit at the second stage; the average serving time is average polling time at the second stage until alarm detection.…”
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  16. 696

    Trends of thyroid cancer in children and adolescents over 23 Years in KSA by Rasha S. Alradadi, MBBS, MS, layan A. Aljohani, MBBS, Rawan F. Alharbi, MBBS, Ghadah T. Alsahli, MBBS, Hiba Z. Barri, MBBS, Rehab S. Alahmadi, MBBS, Sami A. Al-Dubai, MPH, PhD

    Published 2025-04-01
    “…Data regarding the type of TC and tumor, node, and metastasis staging were excluded due to incomplete information. …”
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  17. 697

    Wetland restoration suppresses microbial carbon metabolism by altering keystone species interactions by Huijie Zheng, Huijie Zheng, Deyan Liu, Ye Li, Zengming Chen, Junjie Li, Junjie Li, Yanhong Dong, Yanhong Dong, Cong Yang, Cong Yang, Yuncai Miao, Junji Yuan, Weixin Ding, Weixin Ding

    Published 2025-04-01
    “…Besides, wetland restoration for four years decreased network complexity (characterized by decreased node number by 2.51%, edge number by 9.62%, positive/negative edge number by 6.37%, average degree by 5.74% and degree centralization by 6.34%). …”
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  18. 698

    Examining the role of elective pelvic radiotherapy in patients Diagnosed with high- and very High-Risk Non-Metastatic prostate cancer by István Nahaji, Zsuzsa S. Kocsis, Andrea Kovács, Levente Varga, László Gesztesi, Kliton Jorgo, Zoltán Takácsi-Nagy, Csaba Polgár, Péter Ágoston

    Published 2025-07-01
    “…Introduction: In the treatment of node-negative, non-metastatic high-risk (HR) and very high-risk (VHR) prostate cancer, the necessity of elective pelvic irradiation is controversial. …”
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  19. 699

    Effectiveness of minimally invasive methods (laser-induced interstitial thermotherapy and percutaneous ethanol sclerotherapy) in the treatment of Plummer’s disease by O.A. Tovkai, V.O. Palamarchuk, N.V. Smolovyk, P.O. Lishchynskyi, L.V. Stotska, A.R. Yatsiv, V.V. Kuts

    Published 2024-10-01
    “…The percen­tage of patients in whom the euthyroid status was recorded after the first session ranged from 100 % for nodes of smaller volume (up to 4 cm3) to 63 % for nodes of maximum volume (up to 13 cm3). …”
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  20. 700

    The impact of ecological water level on wintering migratory birds in Poyang Lake – Focusing on phytophagous geese by Yuxin Li, Xi Dong, Chunming Hu

    Published 2024-12-01
    “…Based on the water level guarantee rate, the lake area can be divided into five sub-areas: 0%, 0–25%, 25–50%, 50–75%, and 75–100%, each with significant differences in vegetation characteristics. The average water levels in February, June, September, and November significantly impact the ecosystem health of the Poyang Lake lakeshore wetland and can serve as regulatory nodes for ecological water levels. …”
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