Relevant bibliographies by topics / Co-downloading

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  1. Journal articles
  2. Book chapters
  3. Conference papers

Academic literature on the topic 'Co-downloading'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Co-downloading"

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Wu, Qing Xiang, Jian Mei Shuai, and Xiao Shuang Lu. "A Multi-Node Co-Allocation Parallel Downloading Algorithm." Applied Mechanics and Materials 58-60 (June 2011): 1590–95. http://dx.doi.org/10.4028/www.scientific.net/amm.58-60.1590.

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In distributed data storage, a particular dataset can reside at multiple locations in order to get high availability .Thus, the dataset can be downloaded in parallel from multiple nodes.Throughput between server and client changes dynamically, so the downloading speed can vary unpredictably. A dynamic parallel downloading algorithm based on measurement of bandwidth and bandwidth prediction is produced in this paper and server caching is adopted in order to improve downloading speed. The algorithm dynamically adjusts downloading of the last block to make parallel downloading from multiple serve
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Voskolovich, Nina Aleksandrovna, and Evgeny Nikolaevich Zhiltsov. "Culture-Bound Items in the Formation of the Cinema Audiences." Journal of Flm Arts and Film Studies 9, no. 2 (2017): 134–50. http://dx.doi.org/10.17816/vgik92134-150.

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The article is devoted to the influence of economic, social, communicative and marketing factors on the audience and gives a cross-cultural analysis of consuming entertainment services including cinema attendance. Dwelling on the development of such film market segments as on-line cinemas, paid movie streaming, downloading films, games, music, etc.. which broaden the consumers choice and demonstrate the power of theatrical distribution competitors, the authors justify the use of marketing techniques (social network promotion, branding and co-branding programs, etc.) for enhancing the audiences
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Pagnotta, Mario. "Comparison among Methods and Statistical Software Packages to Analyze Germplasm Genetic Diversity by Means of Codominant Markers." J 1, no. 1 (2018): 197–215. http://dx.doi.org/10.3390/j1010018.

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Co-dominant markers’ data are often analysed as if they were dominant markers, an over-simplification that may be misleading. Addressing this, the present paper aims to provide a practical guide to the analysis of co-dominant data and selection of suitable software. An overview is provided of the computational methods and basic principles necessary for statistical analyses of co-dominant molecular markers to determine genetic diversity and molecular characterization of germplasm collections. The Hardy–Weinberg principle is at the base of statistical methods to determine genetic distance, genet
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Pagnotta, Mario Augusto. "Comparison among Methods and Statistical Software Packages to Analyze Germplasm Genetic Diversity by Means of Codominant Markers." J 1, no. 1 (2018): 197–215. https://doi.org/10.3390/j1010018.

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Co-dominant markers’ data are often analysed as if they were dominant markers, an over-simplification that may be misleading. Addressing this, the present paper aims to provide a practical guide to the analysis of co-dominant data and selection of suitable software. An overview is provided of the computational methods and basic principles necessary for statistical analyses of co-dominant molecular markers to determine genetic diversity and molecular characterization of germplasm collections. The Hardy–Weinberg principle is at the base of statistical methods to determine genetic dis
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Annas, Suwardi, Muhammad Nusrang, Irwan Irwan, Zulkifli Rais, and Ruliana Ruliana. "Pelatihan Software R Bagi Dosen Universitas Al-Syariah Mandar." Panrannuangku Jurnal Pengabdian Masyarakat 3, no. 1 (2023): 23–26. https://doi.org/10.35877/panrannuangku1810.

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This Community Partnership Program (PKM) partner is a lecturer at FKIP Al-Syariah Mandar University. The problems are: (1) R as an open source software that is free of the license is not widely known in scope, (2) Lack of skills in statistical data analysis mainly related to regression analysis, path analysis, and SEM using R. The methods used are lectures, demonstrations, discussions, questions and answers, and co-partners. The results achieved are (1) partners have R software knowledge related to downloading and installing the software, (2) partners have superior knowledge possessed by the R
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Liu, Ying, Yongmei Gao, Yan Li, et al. "Minichromosome maintenance deficient 6 as a core biomarker for the identification of gynecological pan-carcinoma." Materials Express 10, no. 11 (2020): 1788–94. http://dx.doi.org/10.1166/mex.2020.1830.

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Cervical, endometrial, and breast cancers are common diseases studied in the field of gynecology. We conducted a series of bioinformatics analyses on these different gynecological cancers. After downloading mRNA microarray data on these gynecological cancers from the TCGA database, we applied a differential analysis. We combined the differential genes obtained from each disease sample and obtained 2,353 public differential genes (P <0.01). Through a weighted gene co-expression network analysis, we obtained five functional disorder modules, and found the essential genes to be LHFP, DNAJC27,
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Jena, Sudibyajyoti, Likhet Kashori Sahu, Debahuti Mishra, Madhuri Rao, and Kulamala Vinod Kumar. "Co-Resident Attack and its impact on Virtual Environment." Journal of Physics: Conference Series 2327, no. 1 (2022): 012067. http://dx.doi.org/10.1088/1742-6596/2327/1/012067.

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Abstract Cloud computing (CC) is one of the emerging computing models that potentially transform the IT industry. The cloud computing is defined as a computing paradigm that enables suitable, universal, on-demand network access of various computing resources like data storage, OS (Operating System), computer applications and software as well. A Cloud model essentially is characterized with features like on-demand self-service, better network access, resource distribution, elasticity and measured services. Cloud computing is also known as Internet Computing and is indeed reshaping the way indus
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Sleeman, Sophia H. E., Milou J. P. Reuvers, Eveliene Manten-Horst, et al. "‘Let Me Know If There’s Anything I Can Do for You’, the Development of a Mobile Application for Adolescents and Young Adults (AYAs) with Cancer and Their Loved Ones to Reconnect after Diagnosis." Cancers 14, no. 5 (2022): 1178. http://dx.doi.org/10.3390/cancers14051178.

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Adolescent and young adult (AYA) cancer patients report a need for support to stay in contact with loved ones after diagnosis. In response to this the Dutch AYA ‘Young & Cancer’ Care Network co-created the mobile application ‘AYA Match’. This study describes the cocreational process, the characteristics of the users and their expectations regarding the app. 121 AYA cancer patients and 37 loved ones completed a questionnaire. 68.6% of the loved ones reported ‘staying in contact’ and ‘finding out about the needs and wishes of ‘their AYA’ during this time’ as the main reasons for downloading
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Sun, Dongqing, Jin Wang, Ya Han, et al. "TISCH: a comprehensive web resource enabling interactive single-cell transcriptome visualization of tumor microenvironment." Nucleic Acids Research 49, no. D1 (2020): D1420—D1430. http://dx.doi.org/10.1093/nar/gkaa1020.

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Abstract Cancer immunotherapy targeting co-inhibitory pathways by checkpoint blockade shows remarkable efficacy in a variety of cancer types. However, only a minority of patients respond to treatment due to the stochastic heterogeneity of tumor microenvironment (TME). Recent advances in single-cell RNA-seq technologies enabled comprehensive characterization of the immune system heterogeneity in tumors but posed computational challenges on integrating and utilizing the massive published datasets to inform immunotherapy. Here, we present Tumor Immune Single Cell Hub (TISCH, http://tisch.comp-gen
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Kalbhor, Madhura, and Swati Shinde. "ColpoClassifier: A Hybrid Framework for Classification of the Cervigrams." Diagnostics 13, no. 6 (2023): 1103. http://dx.doi.org/10.3390/diagnostics13061103.

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Colposcopy plays a vital role in detecting cervical cancer. Artificial intelligence-based methods have been implemented in the literature for the classification of colposcopy images. However, there is a need for a more effective method that can accurately classify cervigrams. In this paper, ColpoClassifier, a hybrid framework for the classification of cervigrams, is proposed, which consists of feature extraction followed by classification. This paper uses a Gray-level co-occurrence matrix (GLCM), a Gray-level run length matrix (GLRLM), and a histogram of gradients (HOG) for feature extraction.
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Book chapters on the topic "Co-downloading"

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Monar, Jörg. "Justice and Home Affairs: Europeanization as a Government-Controlled Process." In Germany, Europe, and the Politics of Constraint. British Academy, 2003. http://dx.doi.org/10.5871/bacad/9780197262955.003.0015.

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This chapter examines both the ‘uploading’ and the ‘downloading’ dimensions of Europeanization in justice and home affairs. Germany has been quite active – and in some cases, such as Schengen and Europol – also relatively successful in trying to ‘upload’ domestic preferences and models to the European level. But Europeanization has remained very much a government-led process with hardly any impact on public opinion and society. The ‘downloading’ has been largely limited to selective legislative changes as a result of the growing EC/EU acquis, and to the increased involvement of administrative
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Conference papers on the topic "Co-downloading"

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Jassal, Prateek, Kuldeep Yadav, Abhishek Kumar, Vinayak Naik, Vishesh Narwal, and Amarjeet Singh. "Unity: Collaborative downloading content using co-located socially connected peers." In 2013 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops 2013). IEEE, 2013. http://dx.doi.org/10.1109/percomw.2013.6529458.

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Hsu, Ching-Hsien, Chia-Wei Chu, and Chih-Hsun Chou. "Bandwidth Sensitive Co-allocation Scheme for Parallel Downloading in Data Grid." In 2009 IEEE International Symposium on Parallel and Distributed Processing with Applications. IEEE, 2009. http://dx.doi.org/10.1109/ispa.2009.101.

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Suvarna, N. A., and Dinesh Chandra. "Evaluation of Improvement Algorithms for Dynamic Co-allocation with Respect to Parallel Downloading in Grid Computing." In 2010 First International Conference on Integrated Intelligent Computing (ICIIC). IEEE, 2010. http://dx.doi.org/10.1109/iciic.2010.44.

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Casu, Davide, Vincent Dubanchet, Hervé Renault, Anthea Comellini, and Pierre Dandré. "EROSS+ Phase A/B1 Guidance, Navigation and Control design for In-Orbit Servicing." In ESA 12th International Conference on Guidance Navigation and Control and 9th International Conference on Astrodynamics Tools and Techniques. ESA, 2023. http://dx.doi.org/10.5270/esa-gnc-icatt-2023-036.

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The H2020 project “EROSS+ Phase A/B1” standing for “European Robotic Orbital Support Services” has been over 2021-2023 to mature the future robotic servicing missions with a highly-autonomous and coupled Guidance, Navigation and Control (GNC) architecture for both a satellite platform and its embedded robotic arm. This project is built upon the previous developments of the Operational Grants led by the Strategic Research Cluster in Space Robotics funded by the European Commission since 2016. More specifically, EROSS+ project aims at deriving a system design of a robotic Servicer approaching, c
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Journal articles
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