Academic literature on the topic 'Important nodes'

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Journal articles on the topic "Important nodes"

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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.

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Xu, 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.

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Li, 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.

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Relatively important node mining has always been an essential research topic in complex networks. Existing relatively important node mining algorithms suffer from high time complexity and poor accuracy. Therefore, this paper proposes an algorithm for mining relatively important nodes based on the edge importance greedy strategy (EG). This method considers the importance of the edge to represent the degree of association between two connected nodes. Therefore, the greater the value of the connection between a node and a known important node, the more likely it is to be an important node. If the importance of the edges in an undirected network is measured, a greedy strategy can find important nodes. Compared with other relatively important node mining methods on real network data sets, such as SARS and 9/11, the experimental results show that the EG algorithm excels in both accuracy and applicability, which makes it a competitive algorithm in the mining of important nodes in a network.
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Yang, 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.

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In complex networks, mining important nodes has been a matter of concern by scholars. In recent years, scholars have focused on mining important nodes in undirected unweighted complex networks. But most of the methods are not applicable to directed weighted complex networks. Therefore, this paper proposes a Two-Way-PageRank method based on PageRank for further discussion of mining important nodes in directed weighted complex networks. We have mainly considered the frequency of contact between nodes and the length of time of contact between nodes. We have considered the source of the nodes (in-degree) and the whereabouts of the nodes (out-degree) simultaneously. We have given node important performance indicators. Through numerical examples, we analyze the impact of variation of some parameters on node important performance indicators. Finally, the paper has verified the accuracy and validity of the method through empirical network data.
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Liu, 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.

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An important node identification algorithm based on an improved structural hole and K-shell decomposition algorithm is proposed to identify important nodes that affect security in complex networks. We consider the global structure of a network and propose a network security evaluation index of important nodes that is free of prior knowledge of network organization based on the degree of nodes and nearest neighborhood information. A node information control ability index is proposed according to the structural hole characteristics of nodes. An algorithm ranks the importance of nodes based on the above two indices and the nodes’ local propagation ability. The influence of nodes on network security and their own propagation ability are analyzed by experiments through the evaluation indices of network efficiency, network maximum connectivity coefficient, and Kendall coefficient. Experimental results show that the proposed algorithm can improve the accuracy of important node identification; this analysis has applications in monitoring network security.
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Wang, 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.

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Chen, 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.

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Wireless sensor networks (WSNs) are a group of wireless sensor nodes, those sensor nodes with sensing and monitoring of environmental information. Energy consumption is an important topic; the node's power is limited. Therefore, we proposed an Opportunistic Large Array Concentric Geographic Routing Algorithm (OLACGRA) to reduce the node’s energy consumption and analysis the characteristic of energy model. The sink position of our proposed OLACGRA is at the center of concentric topology architecture. The source node wants to transmit data that it needs to calculate the distance between source node and sink node. If this distance bigger than threshold value, we use the multi-hop manner. Otherwise, source node transmits data to sink node directly. Simulation results show that our proposed algorithm can effectively reduce the node’s energy consumption.
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Sun, 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.

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Mester, 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.

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The stability and robustness of a complex network can be significantly improved by determining important nodes and by analyzing their tendency to group into clusters. Several centrality measures for evaluating the importance of a node in a complex network exist in the literature, each one focusing on a different perspective. Community detection algorithms can be used to determine clusters of nodes based on the network structure. This paper shows by empirical means that node importance can be evaluated by a dual perspective—by combining the traditional centrality measures regarding the whole network as one unit, and by analyzing the node clusters yielded by community detection. Not only do these approaches offer overlapping results but also complementary information regarding the top important nodes. To confirm this mechanism, we performed experiments for synthetic and real-world networks and the results indicate the interesting relation between important nodes on community and network level.
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Yu, 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.

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In recent years, the identification of the essential nodes in complex networks has attracted significant attention because of their theoretical and practical significance in many applications, such as preventing and controlling epidemic diseases and discovering essential proteins. Several importance measures have been proposed from diverse perspectives to identify crucial nodes more accurately. In this paper, we propose a novel importance metric called node propagation entropy, which uses a combination of the clustering coefficients of nodes and the influence of the first- and second-order neighbor numbers on node importance to identify essential nodes from an entropy perspective while considering the local and global information of the network. Furthermore, the susceptible–infected–removed and susceptible–infected–removed–susceptible epidemic models along with the Kendall coefficient are used to reveal the relevant correlations among the various importance measures. The results of experiments conducted on several real networks from different domains show that the proposed metric is more accurate and stable in identifying significant nodes than many existing techniques, including degree centrality, betweenness centrality, closeness centrality, eigenvector centrality, and H-index.
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Dissertations / Theses on the topic "Important nodes"

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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.

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Shek, 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.

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Prognostic indicators, measured at diagnosis, are important in breast cancer. They help clinicians select optimal treatment, provide rational bases for stratification of treatment trials and assist analysis of response to treatment. Univariate statistical survival curves have identified many such indicators. However, they do not explain why some patients, classified as favoured by one or other factor(s), experience early treatment failure, nor why a substantial number with unfavourable signs remain recurrence-free many years later. This study was undertaken to identify independent prognostic factors with the use of multivariate regression. A Cox proportional hazards model of disease-specific survival was based on 1184 primary breast cancer patients referred to the Cancer Control Agency of B.C. between 1975 and 1981 (median follow-up 60 months). Significant univariate associations with overall survival were found for estrogen receptor concentration ([ER]), axillary nodal status (NO, Nl-3, N4+), clinical stage (TNM I, II, III, IV), histologic differentiation and confluent tumor necrosis (minimal, marked). These factors were assessed at primary diagnosis. A subset of 859 patients with complete data on these variables and also histologic type, menopausal status, age, tumor size and treatment was used to fit the multivariate model. Nodal status was the most important independent factor but three others, TNM stage, [ER] and tumor necrosis, were needed to make adequate predictions. A derived Hazard Index defined risk groups with 8-fold variation in survival. Five-year predicted survival ranged from 36% (N4+, loge[ER]=0, marked necrosis) to 96% (NO, loge[ER]=6, no necrosis) with TNM I and 0% to 70% for the same categories in TNM IV. This wide variation occurred across all stages. Study of post-recurrence survival (369 patients) yielded a model with only three independent predictors: [ER], nodal status and tumor necrosis. Survival - overall, recurrence-free and post-recurrent - is predictable by modelling a few factors measureable at diagnosis. Use of ER concentration, rather than the more common ER status (+ or -), greatly strengthens the model. Presence of ER was also shown to be increasingly important as 'protective', attenuating the effect of other factors, as risk of mortality increases.
Medicine, Faculty of
Pathology and Laboratory Medicine, Department of
Graduate
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Filion, Christian. "On Ranking the Relative Importance of Nodes in Physical Distribution Networks." Thesis, 2011. http://hdl.handle.net/10012/5977.

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Physical distribution networks are integral parts of modern supply chains. When faced with a question of which node in a network is more important, cost immediately jumps to mind. However, in a world of uncertainty, there are other significant factors which should be considered when trying to answer such a question. The integrity of a network, as well as its robustness are factors that we consider, in making a judgement of importance. We develop algorithms to measure several properties of a class of networks. To accelerate the optimization of multiple related linear programs, we develop a modification of the revised simplex method, which exploits several key aspects to gain efficiency. We combine these algorithms and methods, to give rankings of the relative importance of nodes in networks. In order to better understand the usefulness of our method, we analyse the effect parameter changes have on the relative importance of nodes. We present a large, realistic network, whose nodes we rank in importance. We then vary the network's parameters and observe the impact of each change.
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Chin, 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.

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碩士
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.
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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.

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Lee, 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.

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碩士
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.
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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.

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A research report submitted in partial fulfilment of the requirements for the degree of Master of Science in Property Management and Development to the Faculty of Engineering and the Built Environment, University of the Witwatersrand, Johannesburg, 2016
Purpose – 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
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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.

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碩士
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.
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Books on the topic "Important nodes"

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Vogt, Christian. Photographic notes: Everything is important, nothing is important. Zurich: Edition Stemmle, 1998.

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Dauer, 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.

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Co, 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.

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Handley, Graham. Brodie's notes on Oscar Wilde's The importance of being earnest. Basingstoke: Macmillan, 1994.

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Brodie's notes on Oscar Wilde's The importance of being Earnest. London: Pan Books, 1988.

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India. Central criminal minor acts: Compendium of 111 acts and important rules with amendments and short notes. Delhi: Allied Book Co., 1999.

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Bunch, Chris. Lymphadenopathy. Edited by Patrick Davey and David Sprigings. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780199568741.003.0036.

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Lymph nodes are small, bean-shaped structures generally a few millimetres in size, distributed widely throughout the body and assuming a major role in the immune system. Peripheral lymph nodes are not normally palpable except in thin individuals. Enlargement of lymph nodes is called lymphadenopathy. It is important to distinguish between reactive lymphadenopathy, which is usually an appropriate response to infection or inflammation, and malignant or neoplastic lymphadenopathy.
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Newman, Mark. Measures and metrics. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198805090.003.0007.

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This chapter describes the measures and metrics that are used to quantify network structure. The chapter starts with a discussion of centrality measures, which are used to identify central or important nodes in networks. Measures discussed include degree centrality, eigenvector centrality, PageRank, closeness, and betweenness. This is followed by a discussion of groupings of nodes like cliques and components, transitivity measures including the clustering coefficient, structural balance in networks, similarity measures, and assortative mixing.
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Coolen, 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.

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A network is specified by its links and nodes. However, it can be described by a much wider range of interesting and important topological features. This chapter introduces how a network can be characterized by its microscopic topological features and macroscopic topological features. Microscopic features introduced are degree and clustering coefficients. Macroscopic topological features introduced are the degree distribution; correlation between degrees of connected nodes; modularity; and, the eigenvalue spectrum (which counts the number of closed paths in the graph).
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McDougal, 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.

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This chapter argues that firms in Liberia during the civil wars increasingly came to rely upon highly dispersed networks of traders to source from, and distribute to, rural hinterlands. Industrial manufacturing firms in Liberia shed important light on the structure of production networks in violent conflict. They serve as important nodes in the value-adding process that supply and distribution networks hook into, and their managers therefore have unique opportunities to observe the ways these networks adapt to, and traverse, the shifting combat frontier. In the broader context of this book, this case study then provides qualitative evidence for the claim that rural–urban trade networks in Liberia begin to exhibit exaggerated radial patterns, characterized increasingly by important urban hubs and limited importance of second-tier cities.
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Book chapters on the topic "Important nodes"

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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.

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Lovell, Heather. "Nodes." In Understanding Energy Innovation, 37–52. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-6253-9_3.

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AbstractNodes within smart grids play an important role in providing stability—keeping things the same—as well as innovating. The theme of nodes is closely related to that of networks, as nodes are fixed, stable points on networks. But whereas the network metaphor encourages us to think about connections and flows, the concept of nodes focuses our attention on the key organisations, people, and technologies that provide stable anchor points and typically act as brokers at crucial intersections within the energy sector. In this chapter, I examine social and technical nodes using three examples: the digital electricity meter, with a focus on household transitions in the UK and Australia, an energy authority (the Australian Energy Market Operator), and islands, specifically looking at the smart grid on King Island, Australia.
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Bastas, 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.

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Gómez, 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.

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Li, 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.

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Ma, 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.

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AbstractNetwork community detection is an important service provided by social networks, and social network user location can greatly improve the quality of community detection. Label propagation is one of the main methods to realize the user location prediction. The traditional label propagation algorithm has the problems including “location label countercurrent” and the update randomness of node location label, which seriously affects the accuracy of user location prediction. In this paper, a new location prediction algorithm for social networks based on improved label propagation algorithm is proposed. By computing the K-hop public neighbor of any two point in the social network graph, the nodes with the maximal similarity and their K-hopping neighbors are merged to constitute the initial label propagation set. The degree of nodes not in the initial set are calculated. The node location labels are updated asynchronously is adopted during the iterative process, and the node with the largest degree is selected to update the location label. The improvement proposed solves the “location label countercurrent” and reduces location label updating randomness. The experimental results show that the proposed algorithm improves the accuracy of position prediction and reduces the time cost compared with the traditional algorithms.
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Grubb, 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.

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Zhang, 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.

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Yu, 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.

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Kalogeropoulos, 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.

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Conference papers on the topic "Important nodes"

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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.

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Yang, 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.

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Basu, 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.

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Wang, 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.

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Yi, 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.

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Li, 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.

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Liu, 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.

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Li, 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.

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Zhao, 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.

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Ngamwongtrakul, 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.

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Reports on the topic "Important nodes"

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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.

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Based on literature review it was established that the use of augmented reality as an innovative technology of student training occurs in following directions: 3D image rendering; recognition and marking of real objects; interaction of a virtual object with a person in real time. The main advantages of using AR and VR in the educational process are highlighted: clarity, ability to simulate processes and phenomena, integration of educational disciplines, building an open education system, increasing motivation for learning, etc. It has been found that in the field of physical process modelling the Proteus Physics Laboratory is a popular example of augmented reality. Using the Proteus environment allows to visualize the functioning of the functional nodes of the computing system at the micro level. This is especially important for programming systems with limited resources, such as microcontrollers in the process of training future IT professionals. Experiment took place at Borys Grinchenko Kyiv University and Sumy State Pedagogical University named after A. S. Makarenko with students majoring in Computer Science (field of knowledge is Secondary Education (Informatics)). It was found that computer modelling has a positive effect on mastering the basics of microelectronics. The ways of further scientific researches for grounding, development and experimental verification of forms, methods and augmented reality, and can be used in the professional training of future IT specialists are outlined in the article.
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Avis, 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.

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This helpdesk report provides a critical review of the literature on the role of faith and religious values in environmental engagement and action. Contemporary studies have examined the relationship between religion and climate change including the ongoing “greening” process of religions. The review focuses on the responses of the Islamic faith in the MENA region to climate-related issues. MENA is considered one of the region’s most vulnerable to the impacts of climate change. The rapid review drawing from empirical findings notes that religious organizations have great potential in the protection of the environment. Religious organizations possess resources and infrastructure to positively impact the conversation on climate change. While the review acknowledges the important role that religion plays in environmental engagement, there is still no unified perception of climate change among members of the Islamic faith. There are those who believe that there are other more urgent issues such as radicalism, terrorism, democracy, and human rights. The review notes that the shared challenge of climate change can provide a mechanism to bring together faiths to discuss, share teachings, and agree on common action.
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Lee, 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.

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The pandemic has highlighted the importance of sanitary, affordable, and secure housing. This publication shares lessons from Asian Development Bank (ADB) assistance in the housing sector between 2000 and 2020. It notes the need to balance supporting the poor and vulnerable with making markets work better. The authors identify two essential components of an effective housing ecosystem: (i) well-targeted subsidies for low-income households, and (ii) housing finance and supply for middle-income households that enables them to pay their own way.
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Birch, Izzy. Thinking and Working Politically on Transboundary Issues. Institute of Development Studies (IDS), January 2020. http://dx.doi.org/10.19088/k4d.2021.010.

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There is growing consensus that political factors are a key determinant of development impact. The practice of Thinking and Working Politically (TWP) is built around three interconnected principles: (i) strong political analysis, insight, and understanding; (ii) detailed appreciation of, and response to, the local context; and (iii) flexibility and adaptability in program design and implementation. The literature notes that while TWP emphasises the centrality of politics and power, technical knowledge is still important and can reinforce the political agenda, for example by increasing the confidence of smaller states or by strengthening collective understanding. Furthermore, improving the quality of domestic cooperation can be a step towards regional cooperation, and flexible engagement with the diverse range of actors that populate transboundary settings has been shown to be an effective strategy. The literature also highlights lessons learned including Transboundary cooperation can be built from the bottom up and for development partners, pre-existing bilateral partnerships may facilitate their engagement at a transboundary level, particularly on sensitive issues. Given the relatively isolated experience of TWP in transboundary settings, the evidence base for this report is also limited. The two areas where most examples were found concern regional integration and transboundary water management.
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Haider, 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.

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Literature focusing on the aftermath of conflict in the Western Balkans, notes that many people remain focused on stereotypes and prejudices between different ethnic groups stoking fear of a return to conflict. This rapid review examines evidence focussing on various interventions that seek to promote inter-group relations that are greatly elusive in the political realm in the Western Balkan. Socio-political change requires a growing critical mass that sees the merit in progressive and conciliatory ethnic politics and is capable of side-lining divisive ethno-nationalist forces. This review provides an evidence synthesis of pathways through which micro-level, civil-society-based interventions can produce ‘ripple effects’ in society and scale up to affect larger geographic areas and macro-level socio-political outcomes. These interventions help in the provision of alternative platforms for dealing with divisive nationalism in post-conflict societies. There is need to ensure that the different players participating in reconciliation activities are able to scale up and attain broader reach to ensure efficacy and hence enabling them to become ‘multiplier of peace.’ One such way is by providing tools for activism. The involvement of key people and institutions, who are respected and play an important role in the everyday life of communities and participants is an important factor in the design and success of reconciliation initiatives. These include the youth, objective media, and journalists. The transformation of conflict identities through reconciliation-related activities is theorised as leading to the creation of peace constituencies that support non-violent approaches to conflict resolution and sustainable peace The success of reconciliation interventions largely depends on whether it contributes to redefining otherwise antagonistic identities and hostile relationships within a community or society.
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Haider, 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.

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This rapid review synthesises evidence on key aspects of mainstreaming institutional resilience and systems strengthening in donor policies and programming in FCAS (Fragile and Conflict-affect States) contexts, particularly in nutrition (food security), health, WASH and the economic sector. Institutional resilience is the ability of a social system (society, community, organisation) to absorb and recover from external shocks, while positively adapting and transforming to address long-term changes and uncertainty. Investing in strong, well-functioning and adaptable social systems, such as health, education and social protection systems, can build resilience, as this help to cushion the negative economic and social effects of crises. While development actors have established guidance on how institutions can be made more effective, inclusive and accountable, there is much less literature on institutional resilience and how development actors can help to foster it. Much of the literature notes a lack of systematic evidence on applying the concept of resilience. These gaps extend to a dearth of guidance on how development actors can mainstream institutional resilience and systems strengthening into their policies and programmes. This rapid review draws on common factors discussed in the literature that are considered important to the strengthening of resilience and particular systems. These may, in turn, provide an indication of ways in which to mainstream institutional resilience and systems strengthening into development policy and programming
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Price, 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.

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This rapid review examines literature around Nature-based Solutions (NbS), what are NbS, the pros and cons of NbS, design and implementation issues (including governance, indigenous knowledge), finance and the enabling environment. The breadth of NbS and the evidence base means that this rapid review only provides a snapshot of the information available, and therefore does not consider all types of NbS, nor all sectors that they have been used in. Considering this limited scope, this report highlights many issues, some of which are that Covid-19 has highlighted the importance of NbS, Pros of NbS include the low cost compared to infrastructure alternatives; the flexibility in addressing multiple climate challenges; potential co-benefits such as better water quality, improved health, cultural benefits, biodiversity conservation. The literature also notes the cons of NbS including slow adaptation or co-benefits, very context specific making effectiveness difficult to measure and many of the benefits are non-monetary and hard to measure. The literature consulted suggest a number of knowledge gaps in the evidence base for NbS effectiveness including lack of: robust and impartial assessments of current NbS experiences; site specific knowledge of field deployment of NbS; timescales over which benefits are seen and experienced; cost-effectiveness of interventions compared to or in conjunction with alternative solutions; and integrated assessments considering broader social and ecological outcomes
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LaBonte, 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.

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Original objectives: Anatomical study of storage root initiation and formation. Induction of storage root formation. Isolation and characterization of genes involved in storage root formation. During the normal course of storage root development. Following stress-induced storage root formation. Background:Sweetpotato is a high value vegetable crop in Israel and the U.S. and acreage is expanding in both countries and the research herein represents an important backstop to improving quality, consistency, and yield. This research has two broad objectives, both relating to sweetpotato storage root formation. The first objective is to understand storage root inductive conditions and describe the anatomical and physiological stages of storage root development. Sweetpotato is propagated through vine cuttings. These vine cuttings form adventitious roots, from pre-formed primordiae, at each node underground and it is these small adventitious roots which serve as initials for storage and fibrous (non-storage) “feeder” roots. What perplexes producers is the tremendous variability in storage roots produced from plant to plant. The marketable root number may vary from none to five per plant. What has intrigued us is the dearth of research on sweetpotato during the early growth period which we hypothesize has a tremendous impact on ultimate consistency and yield. The second objective is to identify genes that change the root physiology towards either a fleshy storage root or a fibrous “feeder” root. Understanding which genes affect the ultimate outcome is central to our research. Major conclusions: For objective one, we have determined that the majority of adventitious roots that are initiated within 5-7 days after transplanting possess the anatomical features associated with storage root initiation and account for 86 % of storage root count at 65 days after transplanting. These data underscore the importance of optimizing the growing environment during the critical storage root initiation period. Water deprivation during this phenological stage led to substantial reduction in storage root number and yield as determined through growth chamber, greenhouse, and field experiments. Morphological characterization of adventitious roots showed adjustments in root system architecture, expressed as lateral root count and density, in response to water deprivation. For objective two, we generated a transcriptome of storage and lignified (non-storage) adventitious roots. This transcriptome database consists of 55,296 contigs and contains data as regards to differential expression between initiating and lignified adventitious roots. The molecular data provide evidence that a key regulatory mechanism in storage root initiation involves the switch between lignin biosynthesis and cell division and starch accumulation. We extended this research to identify genes upregulated in adventitious roots under drought stress. A subset of these genes was expressed in salt stressed plants.
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Shamblin, 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.

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Exotic plant populations can be potentially catastrophic to the natural communities of South Florida. Aggressive exotics such as Brazillian Pepper (Schinus terebinthifolius) and Melaleuca (Melaleuca quinquinervia) have displaced native habitats and formed monocultures of exotic stands (Dalrymple et al. 2003). Nearby plant nurseries, especially the ones outside the boundaries of Biscayne National Park (BISC) and Everglades National Park (EVER), are a continuous source of new exotic species that may become established within South Florida’s national parks. Early detection and rapid response to these new species of exotic plants is important to maintaining the integrity of the parks’ natural habitats and is a cost-effective approach to management. The South Florida/Caribbean Network (SFCN) developed the South Florida/Caribbean Network Early Detection Protocol for Exotic Plants to target early detection of these potential invaders. Three national parks of South Florida are monitored for invasive, exotic plants using this protocol: Big Cypress National Preserve (BICY), Biscayne National Park (BISC), and Everglades National Park (EVER). These national parks include some 2,411,000 acres (3,767.2 square miles [mi2]) that encompass a variety of habitat types. To monitor the entire area for new species would not be feasible; therefore the basic approach of this protocol is to scan major “corridors of invasiveness,” e.g., paved and unpaved roads, trails, trail heads, off road vehicle (ORV) trails, boat ramps, canals, and campgrounds, for exotic plant species new to the national parks of South Florida. Sampling is optimized using a two- to three-person crew: a trained botanist, a certified herbicide applicator, and optionally a SFCN (or IPMT [Invasive Plant Management Team]) staff member or park staff to take photographs and help with data collection. If infestations are small, they are treated immediately by the herbicide applicator. If large, they are reported to park staff and the Invasive Plant Management Team. The sampling domain is partitioned into five regions, with one region sampled per year. Regions include the terrestrial habitats of Biscayne National Park, the eastern region of Everglades National Park, the western region of Everglades National Park, the northern region of Big Cypress National Preserve, and the southern region of Big Cypress National Preserve. Monitoring of roads, trails, and canals occurs while traveling into and through the parks (i.e., travel at 2–10 mph) using motorized vehicles, airboats, and/or hiking. Campgrounds, boat launches, trailheads, and similar areas, involve complete searches. When an exotic plant is observed, a GPS location is obtained, and coordinates are taken of the plant. Photographs are not taken for every exotic plant encountered, but photographs will be taken for new and unusual species (for example a coastal exotic found in inland habitats). Information recorded at each location includes the species name, size of infestation, abundance, cover class, any treatment/control action taken, and relevant notes. During the surveys, a GPS “track” is also recorded to document the areas surveyed and a field of view is estimated. Field notes, pictures, and GPS data are compiled, entered, and analyzed in a Microsoft Access database. Resource briefs (and optional data summary reports) and associated shapefiles and data are then produced and sent to contacts within the corresponding national parks.
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Marshall, 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.

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Promoting the right to freedom of religion or belief (FoRB) is a foreign policy priority for several countries, their concerns accentuated by considerable evidence of rising levels of violations of this right worldwide. This puts a premium on solid evidence and on clear assessment criteria to serve as objective guides for policy. This paper reviews the complex landscape of approaches to assessing and measuring both the status of FoRB and the degree to which this human right is being violated or protected. It introduces and describes various transnational methodologies, both qualitative and quantitative, which focus, in differing ways, on violations. Several are widely cited and have express policy applications, while others have more indirect application to FoRB. The analysis highlights the diversity of approaches, which both reflect and contribute to a tendency to politicise FoRB issues. Challenges include differing understandings of the nature and relative significance of violations and their comparability. Country analysis is crucial because the specific context has vital importance for a granular appreciation for causes and impact of FoRB violations. This granularity, however, is poorly reflected in broader quantitative transnational and time series indices that highlight trends and comparative impact. The review highlights the limited degree to which FoRB issues, specifically violations and religiously related discrimination, are integrated in the policies and practice of development approaches (including social change and progress towards wellbeing) internationally and nationally. Effective approaches to addressing violations are few and far between, especially at the international level. The review notes strengths and weaknesses of specific approaches to assessment and reflects on possible improvements focused on development challenges and better integration among aspects of human rights.
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