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Relevant bibliographies by topics / Non overlapping clusters

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Academic literature on the topic 'Non overlapping clusters'

Author: Grafiati

Published: 8 September 2023

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Journal articles on the topic "Non overlapping clusters"

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Qing, Huan. "Studying Asymmetric Structure in Directed Networks by Overlapping and Non-Overlapping Models." Entropy 24, no. 9 (2022): 1216. http://dx.doi.org/10.3390/e24091216.

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We consider the problem of modeling and estimating communities in directed networks. Models to this problem in the previous literature always assume that the sending clusters and the receiving clusters have non-overlapping property or overlapping property simultaneously. However, previous models cannot model the directed network in which nodes in sending clusters have overlapping property, while nodes in receiving clusters have non-overlapping property, especially for the case when the number of sending clusters is no larger than that of the receiving clusters. This kind of directed network ex

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Wu, Mary, Byung Chul Ahn, and Chong Gun Kim. "A Channel Reuse Procedure in Clustering Sensor Networks." Applied Mechanics and Materials 284-287 (January 2013): 1981–85. http://dx.doi.org/10.4028/www.scientific.net/amm.284-287.1981.

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Sensor nodes having the limited resource, energy efficiency is an important issue. Clustering on the sensor networks reduces the volume of inter-node communications and raises energy efficiency by transmitting the data collected from members by a cluster head to a sink node. But, due to radio frequency characteristics, interference and collision can occur between neighbor clusters, the resulted re-transmission is more energy consuming. The interference and collision occurred among adjacent clusters can be resolved by assigning non-overlapping channels among neighbor clusters. In this paper, we

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Vats, Divyanshu, and José M. F. Moura. "Finding Non-Overlapping Clusters for Generalized Inference Over Graphical Models." IEEE Transactions on Signal Processing 60, no. 12 (2012): 6368–81. http://dx.doi.org/10.1109/tsp.2012.2214216.

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Azizah, Anestasya Nur, Tatik Widiharih, and Arief Rachman Hakim. "Kernel K-Means Clustering untuk Pengelompokan Sungai di Kota Semarang Berdasarkan Faktor Pencemaran Air." Jurnal Gaussian 11, no. 2 (2022): 228–36. http://dx.doi.org/10.14710/j.gauss.v11i2.35470.

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K-Means Clustering is one of the types of non-hierarchical cluster analysis which is frequently used, but has a weakness in processing data with non-linearly separable (do not have clear boundaries) characteristic and overlapping cluster, that is when visually the results of a cluster are between other clusters. The Gaussian Kernel Function in Kernel K-Means Clustering can be used to solve data with non-linearly separable characteristic and overlapping cluster. The difference between Kernel K-Means Clustering and K-Means lies on the input data that have to be plotted in a new dimension using k

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Laskhmaiah, K., S. Murali Krishna, and B. Eswara Reddy. "An Optimized K-means with Density and Distance-Based Clustering Algorithm for Multidimensional Spatial Databases." International Journal of Computer Network and Information Security 13, no. 6 (2021): 70–82. http://dx.doi.org/10.5815/ijcnis.2021.06.06.

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From massive and complex spatial database, the useful information and knowledge are extracted using spatial data mining. To analyze the complexity, efficient clustering algorithm for spatial database has been used in this area of research. The geographic areas containing spatial points are discovered using clustering methods in many applications. With spatial attributes, the spatial clustering problem have been designed using many approaches, but non-overlapping constraints are not considered. Most existing data mining algorithms suffer in high dimensions. With non-overlapping named as Non Ove

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Balaguer-Núñez, L., M. López del Fresno, E. Solano, et al. "Clusterix 2.0: a virtual observatory tool to estimate cluster membership probability." Monthly Notices of the Royal Astronomical Society 492, no. 4 (2020): 5811–43. http://dx.doi.org/10.1093/mnras/stz3610.

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ABSTRACT Clusterix 2.0 is a web-based, Virtual Observatory compliant, interactive tool for the determination of membership probabilities in stellar clusters based on proper-motion data using a fully non-parametric method. In an area occupied by a cluster, the frequency function is made up of two contributions: cluster and field stars. The tool performs an empirical determination of the frequency functions from the vector point diagram without relying on any previous assumption about their profiles. Clusterix 2.0 allows us to search the appropriate spatial areas in an interactive way until an o

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Richette, Pascal, Marijn Vis, Sarah Ohrndorf, et al. "Identification of PsA phenotypes with machine learning analytics using data from two phase III clinical trials of guselkumab in a bio-naïve population of patients with PsA." RMD Open 9, no. 1 (2023): e002934. http://dx.doi.org/10.1136/rmdopen-2022-002934.

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ObjectivesPsoriatic arthritis (PsA) phenotypes are typically defined by their clinical components, which may not reflect patients’ overlapping symptoms. This post hoc analysis aimed to identify hypothesis-free PsA phenotype clusters using machine learning to analyse data from the phase III DISCOVER-1/DISCOVER-2 clinical trials.MethodsPooled data from bio-naïve patients with active PsA receiving guselkumab 100 mg every 8/4 weeks were retrospectively analysed. Non-negative matrix factorisation was applied as an unsupervised machine learning technique to identify PsA phenotype clusters; baseline

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Ben N'Cir, Chiheb-Eddine, and Nadia Essoussi. "Using Sequences of Words for Non-Disjoint Grouping of Documents." International Journal of Pattern Recognition and Artificial Intelligence 29, no. 03 (2015): 1550013. http://dx.doi.org/10.1142/s0218001415500135.

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Grouping documents based on their textual content is an important application of clustering referred to as text clustering. This paper deals with two issues in text clustering which are the detection of non-disjoint groups and the representation of textual data. In fact, a text document can discuss several topics and then, it must belong to several groups. The learning algorithm must be able to produce non-disjoint clusters and assigns documents to several clusters. Given that text documents are considered as unstructured data, the application of a learning algorithm requires to prepare a set

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Himmelfarb, Sarah Talia, Nell Bond, Adaora Okoli, et al. "31. Post-ebola Syndrome Presents with Multiple Overlapping Symptom Clusters: Evidence from an Ongoing Cohort Study in Eastern Sierra Leone." Open Forum Infectious Diseases 7, Supplement_1 (2020): S16—S17. http://dx.doi.org/10.1093/ofid/ofaa417.030.

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Abstract Background Since the outbreak of Ebola Virus Disease (EVD) in West Africa from 2013–2016, a large cohort of survivors with persistent health complaints has emerged. This constellation of issues is termed post-Ebola syndrome. Here we characterize the symptoms and physical exam findings of this syndrome in a cohort of survivors from Sierra Leone 2.6 years after resolution of disease. Ebola survivors present with clusters of symptoms that represent sub phenotypes of post-Ebola syndrome Methods Potential survivor participants in Eastern Sierra Leone were identified and recruited through t

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Akhi, AH, S. Ahmed, ANMS Karim, F. Begum, and MM Rohman. "Genetic divergence of exotic inbred lines of maize (Zea mays. L)." Bangladesh Journal of Agricultural Research 42, no. 4 (2018): 665–71. http://dx.doi.org/10.3329/bjar.v42i4.35793.

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Sixty exotic inbred lines of maize from CIMMYT were characterized for a few morphological attributes and grain yield at the experimental field of Bangladesh Agricultural Research Institute (BARI) during 2013-14. The inbred lines of the existing investigation were grouped into five distinct non-overlapping clusters based on D2 analysis. Cluster II was comprised of the highest number of inbreds whilst cluster III and IV included the lowest number of inbreds. The inter cluster distance was higher than intra cluster distance suggesting wider genetic diversity among the genotypes of different group

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Dissertations / Theses on the topic "Non overlapping clusters"

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Beka, Sylvia Enobong. "The genomics of Type 1 Diabetes susceptibility regions and effect of regulatory SNPs." Thesis, University of Hertfordshire, 2016. http://hdl.handle.net/2299/17200.

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Human complex diseases, like Diabetes and Cancer, affect many people worldwide today. Despite existing knowledge, many of these diseases are still not preventable. Complex diseases are known to be caused by a combination of genetic factors, as well as environmental and life style factors. The scope of this investigation covered the genomics of Type 1 Diabetes (T1D). There are 49 human genomic regions that are known to carry markers (disease-associated single nucleotide mutations) for T1D, and these were extensively studied in this research. The aim was to find out in how far this disease may b

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Tribou, Michael John. "Relative Pose Estimation Using Non-overlapping Multicamera Clusters." Thesis, 2014. http://hdl.handle.net/10012/8141.

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This thesis considers the Simultaneous Localization and Mapping (SLAM) problem using a set of perspective cameras arranged such that there is no overlap in their fields-of-view. With the known and fixed extrinsic calibration of each camera within the cluster, a novel real-time pose estimation system is presented that is able to accurately track the motion of a camera cluster relative to an unknown target object or environment and concurrently generate a model of the structure, using only image-space measurements. A new parameterization for point feature position using a spherical coordinate up

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Huang, Ying-Shuo, and 黃盈碩. "Non-exhaustive Clustering for Overlapping Patent Clusters Analysis." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/15970598844632266402.

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碩士<br>國立清華大學<br>工業工程與工程管理學系<br>95<br>Facing the challenges from a knowledge-based economy, having a comprehensive understanding insights of technology and industry development is the basic and necessary requirement to gain competitive edges for enterprises. Consequently, enterprises apply technology forecasting techniques to assist generating useful information for further R&D strategic decisions. Nonetheless, current technology forecasting analyses base mostly on macro-indicators such as market share and growth rate rather than on specific technology development information, such as invention

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Books on the topic "Non overlapping clusters"

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Palfrey, Simon. Formaction. Edited by Henry S. Turner. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199641352.013.18.

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This chapter examines formactions—the working parts and craft materials of playworlds—that are often simultaneous, clustered, overlapping, and invisible and do not simply mediate or re-present things in the world, but are themselves vitally immanent with possible life. It argues that ‘theatricality’ describes not a technology of mimesis or even a kind of enacted philosophy, but rather a kind of physics: a world in which bodies, ideas, affects, and figures combine and recombine to generate the plays we watch, read, react to, and think about today. It highlights the value of the category of ‘for

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Book chapters on the topic "Non overlapping clusters"

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Singh, Sarjinder. "Non-Overlapping, Overlapping, Post, and Adaptive Cluster Sampling." In Advanced Sampling Theory with Applications. Springer Netherlands, 2003. http://dx.doi.org/10.1007/978-94-007-0789-4_9.

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Sarkar, Anasua, and Ujjwal Maulik. "Cancer Gene Expression Data Analysis Using Rough Based Symmetrical Clustering." In Handbook of Research on Computational Intelligence for Engineering, Science, and Business. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2518-1.ch027.

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Identification of cancer subtypes is the central goal in the cancer gene expression data analysis. Modified symmetry-based clustering is an unsupervised learning technique for detecting symmetrical convex or non-convex shaped clusters. To enable fast automatic clustering of cancer tissues (samples), in this chapter, the authors propose a rough set based hybrid approach for modified symmetry-based clustering algorithm. A natural basis for analyzing gene expression data using the symmetry-based algorithm is to group together genes with similar symmetrical patterns of microarray expressions. Rough-set theory helps in faster convergence and initial automatic optimal classification, thereby solving the problem of unknown knowledge of number of clusters in gene expression measurement data. For rough-set-theoretic decision rule generation, each cluster is classified using heuristically searched optimal reducts to overcome overlapping cluster problem. The rough modified symmetry-based clustering algorithm is compared with another newly implemented rough-improved symmetry-based clustering algorithm and existing K-Means algorithm over five benchmark cancer gene expression data sets, to demonstrate its superiority in terms of validity. The statistical analyses are also performed to establish the significance of this rough modified symmetry-based clustering approach.

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"Graph Mining Approaches to Study Volunteer Relationships in Sourceforge.net." In Free and Open Source Software in Modern Data Science and Business Intelligence. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-3707-6.ch007.

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The contribution of volunteers in the development of Free and Open Source Software in Sourceforge.net is studied in this paper. Using Social Network analysis, the small set of developers who can maximize the information flow in the network are discovered. The propagation of top developers across past three years are also studied. The four algorithms used to find top influential developers gives almost similar results. The movement of top developers over past years was also consistent. Influential nodes in a network are very important to diffuse influence on the rest of the network. They are most often highly connected within the network. The existing algorithms are efficient to identify them. However, the challenge is in selecting a seed set that can spread the influence instantaneously with least effort. In this paper, a method is defined to spread influence on the entire network by selecting the least number of non-overlapping influential nodes faster than a well known existing algorithm. Further to this, the number of clusters in the network is also determined simultaneously from the seed set of the networks.

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Variego, Jorge. "Harmony (Exercises 21–40)." In Composing with Constraints. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780190057237.003.0003.

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This chapter focuses on sounds that occur simultaneously. The concept of harmony here is broad and has a far-reaching scope; it includes functional and non-functional harmonies, color, and any other approach to simultaneous sonorities. Exercise 21 suggests the implementation of voice leading as a constructive principle through stylistic imitation. Number 22, in which “melody becomes harmony,” proposes the harmonization of a melody using exclusively its pitch content. Exercise 23 incorporates symmetrical harmonies; 24 and 25 use the harmonic series to create harmonies. In 26 the harmonies are built around major and minor triads with pitches in common. Exercise 27 incorporates the use of integer notation; 28 uses scale degrees but not triads. The base of exercise 29 is the 12-tone row; 30 uses the concept of “circle” progression or harmonies that move around the circle of fifths; 31 and 32 incorporate harmonies that move in major and minor thirds; 33 and 34 discuss overlapping triads and polytonality; 35 provides an opportunity to work with pedal tones; 36 incorporates the church modes and 37 the use of clusters (i.e., harmonies based exclusively on minor a major seconds). Exercise 38 is based on harmonic sequences; 39 and 40 discuss implied harmonies and writing “contrafacts.”

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Peneder, Michael, and Andreas Resch. "Finance and economic evolution." In Schumpeter's Venture Money. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198804383.003.0007.

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The final chapter of Part II highlights Schumpeter's seminal theory of economic development as a deliberate monetary conception and its genuine account of the nexus between finance and the real economy. Innovation and creative destruction critically depend on the creation and reallocation of purchasing power through finance. The chapter offers a brief reconstruction, which assimilates Schumpeter's further elaborations on selected themes in his later publications along several basic premises, such as open opportunity sets, entrepreneurship and innovation, temporary monopoly profits, or discontinuous change. Furthermore, venture investors must trust the entrepreneurs' vision and provide them with the purchasing power needed to control the means of production in advance. Successful innovations induce imitation and their progressive diffusion annihilates the temporary monopoly surplus, thereby decreasing prices, raising demand and fostering the overall growth of real income. Moreover, innovations do not occur independently, but are clustered, generating overlapping waves of business fluctuations.

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Schmidt, Vivien A. "Conclusion How to (Re-)Envision Eurozone Governance." In Europe's Crisis of Legitimacy. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198797050.003.0011.

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After briefly setting the Eurozone crisis in international context, this Conclusion asks how the EU may move forward, to re-envision Eurozone governance while resolving the EU’s (euro) crisis of legitimacy in ways that ensure greater input, output, and throughput legitimacy. To do so, it recommends reforming Eurozone governance through a more fine-tuned approach to EU-level macroeconomic coordination via more differentiated country-specific targets debated by EU actors. And it proposes decentralizing the administration of the European Semester to ensure a more bottom-up process that is more sensitive to national varieties of capitalism and growth models. Only in so doing, the chapter argues, can there be greater democratic input at both EU and national levels, which could serve to reduce the citizen discontent driving populism. But for this to work, more solidarity mechanisms along with more resources are required not just for the Eurozone but equally across crisis areas, to ensure successful output performance. Finally, the chapter suggests that EU governance itself requires rethinking through more differentiated integration. Rather than a “hard core” moving forward, or Europe “à la carte,” the most effective future integration would be by seeing recognizing the EU as it already is: a “soft core” Europe of clusters of member states in overlapping policy communities, administered by one overall set of institutions.

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Conference papers on the topic "Non overlapping clusters"

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tava, Martin, and Pavel Tvrdík. "Overlapping Non-dedicated Clusters Architecture." In 2009 International Conference on Computer Engineering and Technology (ICCET 2009). IEEE, 2009. http://dx.doi.org/10.1109/iccet.2009.66.

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Stava, Martin, and Pavel Tvrdik. "Security System for Overlapping Non-dedicated Clusters." In 2009 IEEE International Symposium on Parallel and Distributed Processing with Applications. IEEE, 2009. http://dx.doi.org/10.1109/ispa.2009.19.

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Akyamac, Ahmet A., and Thomas P. Chu. "Non-overlapping rings: A new architecture for designing switch clusters in data centers." In 2013 IEEE Globecom Workshops (GC Wkshps). IEEE, 2013. http://dx.doi.org/10.1109/glocomw.2013.6825023.

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Peng, Jinjia, Yang Wang, Huibing Wang, Zhao Zhang, Xianping Fu, and Meng Wang. "Unsupervised Vehicle Re-identification with Progressive Adaptation." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/127.

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Vehicle re-identification (reID) aims at identifying vehicles across different non-overlapping cameras views. The existing methods heavily relied on well-labeled datasets for ideal performance, which inevitably causes fateful drop due to the severe domain bias between the training domain and the real-world scenes; worse still, these approaches required full annotations, which is labor-consuming. To tackle these challenges, we propose a novel Progressive Adaptation Learning method for vehicle reID, named PAL, which infers from the abundant data without annotations. For PAL, a data adaptation mo

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Kuchumov, R., and V. Korkhov. "HPC WORKLOAD BALANCING ALGORITHM FOR CO- SCHEDULING ENVIRONMENTS." In 9th International Conference "Distributed Computing and Grid Technologies in Science and Education". Crossref, 2021. http://dx.doi.org/10.54546/mlit.2021.21.34.001.

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The goal of this research work is to reduce wait time of HPC (high performance computing) applications in schedulers queue by applying a co-scheduling strategy. This strategy allows the execution of more than one task with different non-overlapping requirements for computational resources simultaneously. Co-scheduling strategy reduces task queue wait time and improves utilization of cluster resources when compared to the scheduling strategies that do not allow for parallel task execution on the same machine. We have proposed a method for measuring application processing speed in its run-time,

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Mahdavi, Arash, and Eric Mockensturm. "A New Hierarchical Technique for the Multiscale Modeling of Carbon Nanostructures." In ASME 2005 International Mechanical Engineering Congress and Exposition. ASMEDC, 2005. http://dx.doi.org/10.1115/imece2005-82988.

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We present a new hierarchical modeling technique called the Consistent Atomic-scale Finite Element (CAFE´) method [1]. Unlike traditional approaches for linking the atomic structure to its equivalent continuum [2-7], this method directly connects the atomic degrees of freedom to a reduced set of finite element degrees of freedom without passing through an intermediate homogenized continuum. As a result, there is no need to introduce stress and strain measures at the atomic level. This technique partitions atoms to masters and salves and reduces the total number of degrees of freedom by establi

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