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Статті в журналах з теми "Important nodes"
Schipper, Paul. "Lymph Nodes are Important." World Journal of Surgery 33, no. 4 (February 20, 2009): 785–86. http://dx.doi.org/10.1007/s00268-009-9926-4.
Повний текст джерелаXu, Shuang, and Pei Wang. "Identifying important nodes by adaptive LeaderRank." Physica A: Statistical Mechanics and its Applications 469 (March 2017): 654–64. http://dx.doi.org/10.1016/j.physa.2016.11.034.
Повний текст джерелаLi, Jie, Chunlin Yin, Hao Wang, Jian Wang, and Na Zhao. "Mining Algorithm of Relatively Important Nodes Based on Edge Importance Greedy Strategy." Applied Sciences 12, no. 12 (June 15, 2022): 6099. http://dx.doi.org/10.3390/app12126099.
Повний текст джерелаYang, Yunyun, Gang Xie, and Jun Xie. "Mining Important Nodes in Directed Weighted Complex Networks." Discrete Dynamics in Nature and Society 2017 (2017): 1–7. http://dx.doi.org/10.1155/2017/9741824.
Повний текст джерелаLiu, Yongshan, Jianjun Wang, Haitao He, Guoyan Huang, and Weibo Shi. "Identifying important nodes affecting network security in complex networks." International Journal of Distributed Sensor Networks 17, no. 2 (February 2021): 155014772199928. http://dx.doi.org/10.1177/1550147721999285.
Повний текст джерелаWang, Pei. "Statistical Identification of Important Nodes in Biological Systems." Journal of Systems Science and Complexity 34, no. 4 (August 2021): 1454–70. http://dx.doi.org/10.1007/s11424-020-0013-0.
Повний текст джерелаChen, Young Long, Yung Chi Chang, and Yu Ling Zeng. "An Opportunistic Large Array Concentric Geographic Routing Algorithm with a Relay Node in Wireless Sensor Networks." Applied Mechanics and Materials 764-765 (May 2015): 838–42. http://dx.doi.org/10.4028/www.scientific.net/amm.764-765.838.
Повний текст джерелаSun, Yu, Pei-Yang Yao, Lu-Jun Wan, Jian Shen, and Yun Zhong. "Ranking important nodes in complex networks by simulated annealing." Chinese Physics B 26, no. 2 (February 2017): 020201. http://dx.doi.org/10.1088/1674-1056/26/2/020201.
Повний текст джерелаMester, Attila, Andrei Pop, Bogdan-Eduard-Mădălin Mursa, Horea Greblă, Laura Dioşan, and Camelia Chira. "Network Analysis Based on Important Node Selection and Community Detection." Mathematics 9, no. 18 (September 17, 2021): 2294. http://dx.doi.org/10.3390/math9182294.
Повний текст джерелаYu, Yong, Biao Zhou, Linjie Chen, Tao Gao, and Jinzhuo Liu. "Identifying Important Nodes in Complex Networks Based on Node Propagation Entropy." Entropy 24, no. 2 (February 14, 2022): 275. http://dx.doi.org/10.3390/e24020275.
Повний текст джерелаДисертації з теми "Important nodes"
Matar, Mona. "Node and Edge Importance in Networks via the Matrix Exponential." Kent State University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=kent1564590682534316.
Повний текст джерелаShek, Lydia L. M. "Prognosis of breast cancer : a survival analysis of 1184 patients with 4-10 years follow-up, illustrating the relative importance of estrogen receptors, axillary nodes, clinical stage and tumor necrosis." Thesis, University of British Columbia, 1988. http://hdl.handle.net/2429/29388.
Повний текст джерелаMedicine, Faculty of
Pathology and Laboratory Medicine, Department of
Graduate
Filion, Christian. "On Ranking the Relative Importance of Nodes in Physical Distribution Networks." Thesis, 2011. http://hdl.handle.net/10012/5977.
Повний текст джерелаChin, Wei Chien Benny, and 陳威全. "Geographically Modified PageRank Algorithms: Measuring the Importance of Nodes in a Geospatial Network." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/46954668310102513613.
Повний текст джерела國立臺灣大學
地理環境資源學研究所
101
A geospatial network represents the spatial relationships with the network perspective. Within the scope of social network analysis, the network topology characteristics, including network centrality, small world and scale-free properties, have been well studied, and these concepts can also provide important implications on measuring the important of places in the geospatial network. PageRank (PR), which is an important link analysis algorithm, is what Google uses to determine how important a page is on the web. However, most measures of network analysis were designed to understand network topological structures rather than geographical structures. Therefore, these measures have not considered the geographical relationships as their main concern, including geographical distance decay effect between nodes. This study incorporates geographic properties, including distance-decay and spatial interactions among nodes, and proposes two modified PR algorithms, Inverse-Distance PageRank (IDPR) and Geographical PageRank (GPR). To test the performance of the index of importance (including IDPR and GPR), this study did two experiments with the inter-city network of Taiwan. In the first experiment, this study calculated the index of importance, and this study used the population data and inter-townships car flow data as observed data to check the Spearman Rank Correlation, and compared the correlation results with existing algorithms: PR and Weighted PageRank (WPR); in the second experiment, this study explore the changes of node’s importance between before and after the construction of Taiwan High Speed Rail System. Our findings in the first experiment showed that IDPR and GPR are better correlated to the observed data, and our findings in the second experiment showed that the GPR and WPR could capture the transitive effect. Since IDPR and GPR take the distance decay effect into account, results using the algorithms can capture more geographical properties. In conclusion, IDPR and GPR are better metrics to be used in geospatial network analysis; but, if the transitive effect is an important feature in the analysis, GPR is a better metric.
Pei-Hung, Lee. "A Neighbor-Importance-Based Mechanism for Preventing from Being Exploited by Selfish Nodes in MANETs." 2006. http://www.cetd.com.tw/ec/thesisdetail.aspx?etdun=U0016-1303200709331592.
Повний текст джерелаLee, Pei-Hung, and 李沛鴻. "A Neighbor-Importance-Based Mechanism for Preventing from Being Exploited by Selfish Nodes in MANETs." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/80846936740170801897.
Повний текст джерела國立清華大學
資訊工程學系
94
Normally, nodes cooperate with each other in a mobile ad hoc network in which it is under the administration of a single authority. Each node contributes resources to route discovery and packet forwarding. However, in case of civilian applications such as network of cars, the nodes may not belong to a single authority and not pursue a common goal. In such cases, nodes are not forced to cooperate, thus the network functions are not guaranteed. Instead of forwarding packets for others, a node exploits resources of others and contributes nothing, which results in lower power consumption and longer operation time. Indeed, the situation may be severe since the resources (battery power, memory, bandwidth, and CPU cycles) each node owns are extremely limited. This thesis proposes a mechanism which provides the node in a mobile ad hoc network the capability of preventing from being exploited by selfish neighborhood. The mechanism relies on the observed information to determine each neighbor’s importance according to different metrics. After that, the flow rate allocated for each neighbor is figured out based on its importance level respectively. The simulation results show that no packet is forwarded when they are originated from selfish nodes. Besides, only few packets are failed to achieve its destination while respectable amount of forwarding operations are saved on average. The simulation results also show that when the percentage of selfish nodes in the network is small, the network throughput is affected due to fairness consideration. Once the percentage of selfish nodes increases, our mechanism makes the network throughput better compared to the original network.
Meiring, Estelle. "The relative importance of property-specific factors that influence office occupation decisions in P-grade, A-grade and B-grade office buildings in the decentralized office nodes of Johannesburg, South Africa." Thesis, 2016. http://hdl.handle.net/10539/22350.
Повний текст джерелаPurpose – Within the paradigm of consumer behaviour, the purpose of this study was to determine the relative importance of the various property-specific factors that influence office occupation decisions in the decentralized office nodes of Johannesburg. The aim was to provide more definitive information on office space occupation to real estate marketers, managers, investors and owners. Design/Methodology/Approach – A Malaysian study by Adnan et al. (2012) was replicated in the South African context, utilizing their (adjusted) questionnaire survey. After review, Adnan et al.’s (2012) data analysis methods were altered and, in addition, three key-informant interviews were conducted to discuss the results of the survey and to try and gain further insight into the findings. Findings – The three categories that were considered of highest importance were Cost/Financial Considerations, Services and Management. Factors that scored the highest overall were Security & Access Control, Car Parking Provisioning & Accessibility, Electricity Systems & Provisioning and Rental Rate. The categories On-site Amenities, Space Functionality & Atmosphere and Location were considered of least importance. Research Limitations/Implications – The study was confined to property-specific factors and limited to tenants in P-grade, A-grade and B-grade office buildings in the decentralized office nodes of Johannesburg. It also took place during a specific stage of the South African economic cycle. Further research is required to determine the impact of office grade, firm type, firm size and economic climate on office occupation decisions. Originality/Value – No research on this topic exists within the South Africa context and this study contributes to the limited research, internationally, on real estate within the consumer behaviour paradigm.
MT2017
Niu, Chung-Yen, and 牛中言. "Arabidopsis heat shock transcription factor HSFA6b, with a positive role in salt, drought and heat stress tolerance, is an important node connecting the ABA signal and ABA-mediated heat shock response." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/55129789967422034616.
Повний текст джерела國立臺灣大學
植物科學研究所
102
The heat stress (HS) response (HSR) is a conserved mechanism developed to increase the expression of heat shock proteins (HSPs) via a heat shock factor (HSF)-dependent mechanism. As well, signaling by the stress phytohormone abscisic acid (ABA) is involved in acquired thermotolerance. Analysis of Arabidopsis (Arabidopsis thaliana) microarray databases revealed that the expression of HSFA6b, a class-A HSF, was increased with salinity, osmotic and cold but not HS. Here, we show that HSFA6b plays a pivotal role in the response to ABA and in thermotolerance in Arabidopsis. Intriguingly, in previous studies showed salt-inducible HSFA6b expression was downregulated in ABA-insensitive and -deficient mutants, and exogenous ABA application restored its expression in ABA-deficient plants, so the ABA signal is required for proper HSFA6b expression. Consequently, transcriptional activation assay of protoplasts showed that ABA treatment and coexpression of an ABA-signaling master effector, ABRE-binding protein 1 (AREB1), could activate the HSFA6b promoter. In addition, DREB2A, HSP18.2 and APX2 were regulated by heat shock factor A6b that enhanced their expression. Analysis of ABA responses in drought and salt tolerance in HSFA6b-null, -overexpression and -dominant–negative mutants indicated that HSFA6b is a positive regulator participating in ABA-mediated salt and drought resistance. Thermoprotection tests showed that HSFA6b was required for thermotolerance acquisition. Our study reveals a network in which HSFA6b operates as a downstream regulator of the ABA-mediated stress response and is required for HS resistance. This new ABA-signaling pathway is integrated into the complex HSR network in planta.
Книги з теми "Important nodes"
Vogt, Christian. Photographic notes: Everything is important, nothing is important. Zurich: Edition Stemmle, 1998.
Знайти повний текст джерелаDauer, Joanne C. Australian history 1901 to 2001 as seen through banknotes: A pictorial history of Australian banknotes illustrating important historical events. Ft. Lauderdale, Fla: Edward and Joanne Dauer, 2007.
Знайти повний текст джерелаCo, Eur-Seree Collecting. Rare stamps, coins, and banknotes: Important auction date, Sunday 20th February 2005 at 9.30 am at the Sukhothai Hotel Bangkok, Grand Ballroom ... Bangkok: Eur-Seree Collecting, 2005.
Знайти повний текст джерелаHandley, Graham. Brodie's notes on Oscar Wilde's The importance of being earnest. Basingstoke: Macmillan, 1994.
Знайти повний текст джерелаBrodie's notes on Oscar Wilde's The importance of being Earnest. London: Pan Books, 1988.
Знайти повний текст джерелаIndia. Central criminal minor acts: Compendium of 111 acts and important rules with amendments and short notes. Delhi: Allied Book Co., 1999.
Знайти повний текст джерелаBunch, Chris. Lymphadenopathy. Edited by Patrick Davey and David Sprigings. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780199568741.003.0036.
Повний текст джерелаNewman, Mark. Measures and metrics. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198805090.003.0007.
Повний текст джерелаCoolen, A. C. C., A. Annibale, and E. S. Roberts. Definitions and concepts. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198709893.003.0002.
Повний текст джерелаMcDougal, Topher L. How Production Networks Adapted to Civil War in Liberia. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198792598.003.0003.
Повний текст джерелаЧастини книг з теми "Important nodes"
Lü, Jinhu, and Pei Wang. "Identifying Important Nodes in Bio-Molecular Networks." In Modeling and Analysis of Bio-molecular Networks, 315–96. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-9144-0_7.
Повний текст джерелаLovell, Heather. "Nodes." In Understanding Energy Innovation, 37–52. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-6253-9_3.
Повний текст джерелаBastas, Nikolaos, Theodoros Semertzidis, and Petros Daras. "DepthRank: Exploiting Temporality to Uncover Important Network Nodes." In Lecture Notes in Computer Science, 121–37. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-67256-4_12.
Повний текст джерелаGómez, Sergio. "Centrality in Networks: Finding the Most Important Nodes." In Business and Consumer Analytics: New Ideas, 401–33. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-06222-4_8.
Повний текст джерелаLi, Xin, Weidong Zheng, and Hao Liao. "Community-Based Propagation of Important Nodes in the Blockchain Network." In Computer Supported Cooperative Work and Social Computing, 678–86. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2540-4_51.
Повний текст джерелаMa, Huan, and Wei Wang. "A Label Propagation Based User Locations Prediction Algorithm in Social Network." In Communications in Computer and Information Science, 165–74. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-33-4922-3_12.
Повний текст джерелаGrubb, Jacob, Derek Lopez, Bhuvaneshwar Mohan, and John Matta. "Identifying Biomarkers for Important Nodes in Networks of Sexual and Drug Activity." In Complex Networks & Their Applications IX, 357–69. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-65347-7_30.
Повний текст джерелаZhang, Jianpei, Hui Xu, Jing Yang, and Lijun Lun. "Mining and Ranking Important Nodes in Complex Network by K-Shell and Degree Difference." In Communications in Computer and Information Science, 371–81. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2203-7_28.
Повний текст джерелаYu, Hui, Luyuan Chen, Xi Cao, Zun Liu, and Yongjun Li. "Identifying Top-K Important Nodes Based on Probabilistic-Jumping Random Walk in Complex Networks." In Studies in Computational Intelligence, 326–38. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-72150-7_27.
Повний текст джерелаKalogeropoulos, Nikitas-Rigas, Ioannis Doukas, Christos Makris, and Andreas Kanavos. "A Graph-Based Extension for the Set-Based Model Implementing Algorithms Based on Important Nodes." In Artificial Intelligence Applications and Innovations. AIAI 2020 IFIP WG 12.5 International Workshops, 143–54. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-49190-1_13.
Повний текст джерелаТези доповідей конференцій з теми "Important nodes"
Liu, Xin, Mingrui Bai, and Yong Li. "Identifying Important Nodes by Entropy Method." In 2019 IEEE 7th International Conference on Computer Science and Network Technology (ICCSNT). IEEE, 2019. http://dx.doi.org/10.1109/iccsnt47585.2019.8962508.
Повний текст джерелаYang, Yang, Hui Xu, Yanan Liu, Zhongwei Li, Weishan Zhang, and Xin Liu. "Feature Analysis of Important Nodes in Microblog." In 2015 IEEE 2nd International Conference on Cyber Security and Cloud Computing (CSCloud). IEEE, 2015. http://dx.doi.org/10.1109/cscloud.2015.65.
Повний текст джерелаBasu, Srinka, and Ujjwal Maulik. "Mining important nodes in complex networks using nonlinear PCA." In 2017 IEEE Calcutta Conference (CALCON). IEEE, 2017. http://dx.doi.org/10.1109/calcon.2017.8280778.
Повний текст джерелаWang, Pei, Xinghuo Yu, Jinhu Lu, and Aimin Chen. "Identification of important nodes in artificial bio-molecular networks." In 2014 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE, 2014. http://dx.doi.org/10.1109/iscas.2014.6865373.
Повний текст джерелаYi, Junkai, Zhirong Li, and Xianghui Zhao. "A Novel Algorithm for Important Email Network Nodes Mining." In 2016 International Conference on Applied Mathematics, Simulation and Modelling. Paris, France: Atlantis Press, 2016. http://dx.doi.org/10.2991/amsm-16.2016.11.
Повний текст джерелаLi, Shikui, Guanghui Yan, Xiaogang Wang, Binwei Lu, Yi Zhou, and Xiao Wang. "Important Nodes Identification based on Degree and Structural Entropy." In 2020 IEEE International Conference on Information Technology,Big Data and Artificial Intelligence (ICIBA). IEEE, 2020. http://dx.doi.org/10.1109/iciba50161.2020.9277069.
Повний текст джерелаLiu, Fangyu, Gang Xie, and Zhengpeng Zhao. "Identification of Important Nodes in Power-Information Coupled Network." In 2020 Chinese Automation Congress (CAC). IEEE, 2020. http://dx.doi.org/10.1109/cac51589.2020.9327674.
Повний текст джерелаLi, Yanyu, Yunchun Li, Min Shu, Jiqiang Tang, and Yigang Peng. "An Efficient VNE Algorithm via Preferentially Mapping Important Nodes." In 2016 IEEE 41st Conference on Local Computer Networks: Workshops (LCN Workshops). IEEE, 2016. http://dx.doi.org/10.1109/lcn.2016.026.
Повний текст джерелаZhao, Xianghui, Zhirong Li, and Junkai Yi. "Email Network Important Nodes Mining Using Core Number and PageRank." In 2016 3rd International Conference on Information Science and Control Engineering (ICISCE). IEEE, 2016. http://dx.doi.org/10.1109/icisce.2016.87.
Повний текст джерелаNgamwongtrakul, Busaba, and Tanasanee Phienthrakul. "Identifying important nodes in scientific publications using co-authorship network." In 2016 Fifth ICT International Student Project Conference (ICT-ISPC). IEEE, 2016. http://dx.doi.org/10.1109/ict-ispc.2016.7519224.
Повний текст джерелаЗвіти організацій з теми "Important nodes"
Shamonia, Volodymyr H., Olena V. Semenikhina, Volodymyr V. Proshkin, Olha V. Lebid, Serhii Ya Kharchenko, and Oksana S. Lytvyn. Using the Proteus virtual environment to train future IT professionals. [б. в.], February 2020. http://dx.doi.org/10.31812/123456789/3760.
Повний текст джерелаAvis, William. Role of Faith and Belief in Environmental Engagement and Action in MENA Region. Institute of Development Studies (IDS), May 2021. http://dx.doi.org/10.19088/k4d.2021.086.
Повний текст джерелаLee, Hong Soo, and Ashna Singh. Adequate and Affordable Housing: Enhancing ADB’s Support to Developing Member Countries. Asian Development Bank, September 2022. http://dx.doi.org/10.22617/wps220353-2.
Повний текст джерелаBirch, Izzy. Thinking and Working Politically on Transboundary Issues. Institute of Development Studies (IDS), January 2020. http://dx.doi.org/10.19088/k4d.2021.010.
Повний текст джерелаHaider, Huma. Scalability of Transitional Justice and Reconciliation Interventions: Moving Toward Wider Socio-political Change. Institute of Development Studies (IDS), March 2021. http://dx.doi.org/10.19088/k4d.2021.080.
Повний текст джерелаHaider, Huma. Mainstreaming Institutional Resilience and Systems Strengthening in Donor Policies and Programming. Institute of Development Studies (IDS), June 2021. http://dx.doi.org/10.19088/k4d.2021.101.
Повний текст джерелаPrice, Roz. Nature-based Solutions (NbS) – What are They and What are the Barriers and Enablers to Their Use? Institute of Development Studies (IDS), May 2021. http://dx.doi.org/10.19088/k4d.2021.098.
Повний текст джерелаLaBonte, Don, Etan Pressman, Nurit Firon, and Arthur Villordon. Molecular and Anatomical Characterization of Sweetpotato Storage Root Formation. United States Department of Agriculture, December 2011. http://dx.doi.org/10.32747/2011.7592648.bard.
Повний текст джерелаShamblin, Robert, Kevin Whelan, Mario Londono, and Judd Patterson. South Florida/Caribbean Network early detection protocol for exotic plants: Corridors of invasiveness. National Park Service, July 2022. http://dx.doi.org/10.36967/nrr-2293364.
Повний текст джерелаMarshall, Katherine. Towards Enriching Understandings and Assessments of Freedom of Religion or Belief: Politics, Debates, Methodologies, and Practices. Institute of Development Studies, January 2021. http://dx.doi.org/10.19088/creid.2021.001.
Повний текст джерела