Journal articles: 'Download data'

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Gurney, Jennifer M., Leopoldo C. Cancio, Michael Remley, Stacy Shackelford, and Rachel Rhodes. "557 Use of Online Clinical Guidelines for Burn Care in the Deployed Environment: A Model for Care in Rural or Remote Locations." Journal of Burn Care & Research 41, Supplement_1 (March 2020): S119. http://dx.doi.org/10.1093/jbcr/iraa024.185.

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Abstract Introduction During the last decade, our national Joint Trauma System (JTS) has served as the reference body for trauma care throughout our military. The JTS has published 63 Clinical Practice Guidelines (CPGs) on its website to set standards and to provide guidance for deployed providers in the management of challenging clinical scenarios. Given that there is limited burn expertise in the military, the JTS CPGs are a major source of information for most providers. It has been possible to track CPG download activity for over a year. We hypothesized that assessment of download activity would reflect the relative value of JTS CPGs. In particular, we aimed to document the value of burn-related CPGs. Methods Download activity was determined from data pulled for jts.amedd.army.mil, utilizing Google’s Digital Analytics Program (DAP), for 27 Feb 2018 to 3 Sep 2019. After refining results from all of the military down to jts.amedd.army.mil, a search was then launched to determine the top activities on the JTS webpage. An additional refinement was conducted to establish search-date parameters. Data were exported into an Excel spreadsheet for further analysis. The data were analyzed for specific titles and numbers of downloads; those downloads consistently appearing at the top of the download activity were split out and detailed. Results Downloading was consistently the top “event” or tangible action on the site. In 17 months, total CPG downloads from the JTS website were 75,901. Burn-related CPGs and supporting documents (e.g. Lund-Browder chart; resuscitation flowsheet) were downloaded 6,177 times. The next most frequently downloaded CPG was the traumatic brain injury (TBI) CPG, which was downloaded 6,041 times. If each guideline had equal distribution of downloads, they would each be downloaded 1,205 times; burn-related CPGs were download 5 times more frequently than the mean. Conclusions This study emphasizes the importance of burn-related CPGs to providers throughout the global continuum of care. These providers frequently work in expeditionary, remote and austere environments without rapid access to specialty surgical expertise. The use of detailed CPGs can help bridge this gap. Applicability of Research to Practice This model can be used for remote rural areas nationally and internationally. Computer-based tracking of CPG and educational material downloads can, furthermore, be used to identify ongoing educational needs.

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Penfold, Gerry. "Micro CAATs: Practical data download." Computer Audit Update 1990, no. 3 (January 1990): 17–19. http://dx.doi.org/10.1016/s0960-2593(05)80045-x.

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Taufiq, Rohmat, Angga Pradipta, Ri Sabti Septarini, and Andhika Aratida Priadi. "ANALISIS DATA FLIGHT OPERATION QUALITY ASSURANCE (FOQA) GARUDA INDONESIA BERBASIS WEB DI PT. GMF AEROASIA TBK." JIKA (Jurnal Informatika) 5, no. 1 (February 28, 2021): 84. http://dx.doi.org/10.31000/jika.v5i1.4130.

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Sistem pengolahan data pelaporan download Flight Operation Quality Assurance (FOQA) pada unit Flight Data System (FDS) yaitu dengan cara mengisi mengisi form online yang masih dalam bentuk google form, pelaporan ini dilakukan oleh petugas downloader. Pelaporan ini dilakukan dengan 3 tahap, yang pertama menulis dikertas download form, kemudian mengisi form online. Kemudian data yang diupload akan di analisa oleh engineer dan di check oleh manager. Oleh sebab itu harus di cari alternatif dalam penanganan data tersebut.Berdasarkan latar belakang tersebut, masalah yang di analisa adalah manager harus melihat tiga kali laporan petugas downloader, sehingga solusi terbaik adalah bagaimana cara membuat sebuah aplikasi web untuk mengolah data pelaporan download, supaya kinerja di unit Flight Data System (FDS) lebih efektif. Metode yang di lakukan dalam penulisan laporan ini adalah metode waterfall. Sehingga pelaporan kepada atasan lebih efektif terperinci, mudah cepat dan akurat.

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Singson, Mangkhollen, S. Thiyagarajan, and M. Leeladharan. "Relationship between electronic journal downloads and citations in library consortia." Library Review 65, no. 6/7 (September 5, 2016): 429–44. http://dx.doi.org/10.1108/lr-02-2016-0019.

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Purpose The purpose of this paper is to examine the relationship between electronic journal downloads and citations and whether online electronic resource usage can be adopted as an alternative to citation for evaluation of scholarly discourse. Design/methodology/approach A consolidated 16 publishers’ COUNTER usage data of UGC-Infonet members was collected from INFLIBNET Centre. The usage was meticulously filtered from UGC-subscribed journals and institutional subscriptions. The quantitative data were analysed to establish the relationship between download, impact factor (IF) and price. Multiple regression analysis was used to assess the influence of price and IF on usage and to predict the usage when they are known and the threshold for significance was set at p < 0.05. Findings There exists a relationship between IF and downloads of journals in UGC-Infonet. Journal IF and price significantly influence usage, where journal IF plays an important role in the intensity of the use. Also, the top 25 hottest downloaded papers were journals with IF; hence, no journal without IF featured in the top 25 most downloaded journals in the consortia. The relationship between the top 25 IF journals in the consortia and download is strong (r = 0.368537). Originality/value The only account that reports on the relationship between journal IFs and downloads for UGC-Infonet consortia. Also, the influence of usage behaviour with respect to citation and price of a journal.

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Soltis, Pamela. "Data Attribution from Download to Publication." Biodiversity Information Science and Standards 2 (May 18, 2018): e26060. http://dx.doi.org/10.3897/biss.2.26060.

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Digitized natural history data are enabling a broad range of innovative studies of biodiversity. Large-scale data aggregators such as Global Biodiversity Information facility (GBIF) and Integrated Digitized Biocollections (iDigBio) provide easy, global access to millions of specimen records contributed by thousands of collections. A developing community of eager users of specimen data – whether locality, image, trait, etc. – is perhaps unaware of the effort and resources required to curate specimens, digitize information, capture images, mobilize records, serve the data, and maintain the infrastructure (human and cyber) to support all of these activities. Tracking of specimen information throughout the research process is needed to provide appropriate attribution to the institutions and staff that have supplied and served the records. Such tracking may also allow for annotation and comment on particular records or collections by the global community. Detailed data tracking is also required for open, reproducible science. Despite growing recognition of the value and need for thorough data tracking, both technical and sociological challenges continue to impede progress. In this talk, I will present a brief vision of how application of a DOI to each iteration of a data set in a typical research project could provide attribution to the provider, opportunity for comment and annotation of records, and the foundation for reproducible science based on natural history specimen records. Sociological change – such as journal requirements for data deposition of all iterations of a data set – can be accomplished using community meetings and workshops, along with editorial efforts, as were applied to DNA sequence data two decades ago.

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Aktas, Mehmet Fatih, Elie Najm, and Emina Soljanin. "Simplex Queues for Hot-Data Download." ACM SIGMETRICS Performance Evaluation Review 44, no. 1 (June 5, 2017): 35–36. http://dx.doi.org/10.1145/3143314.3078553.

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Smith, A. V. "Retrieving HapMap Data via Bulk Download." Cold Spring Harbor Protocols 2008, no. 8 (July 1, 2008): pdb.prot5027. http://dx.doi.org/10.1101/pdb.prot5027.

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Al-Jaroodi, Jameela, Nader Mohamed, and Abdulla Eid. "Dual direction big data download and analysis." ACM SIGMETRICS Performance Evaluation Review 41, no. 4 (April 17, 2014): 98–101. http://dx.doi.org/10.1145/2627534.2627564.

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Pradono, K. A., Y. D. Safitri, B. S. Adhitama, Y. F. Hestrio, M. Soleh, H. Gunawan, N. Widijatmiko, and W. Sunarmodo. "Development of automatic Landsat data download engine." IOP Conference Series: Materials Science and Engineering 1007 (December 31, 2020): 012109. http://dx.doi.org/10.1088/1757-899x/1007/1/012109.

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Vu, Long, Klara Nahrstedt, Rahul Malik, and Qiyan Wang. "COADA." International Journal of Adaptive, Resilient and Autonomic Systems 2, no. 2 (April 2011): 1–22. http://dx.doi.org/10.4018/jaras.2011040101.

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This paper argues that Dynamic Coalition Peer-to-Peer (P2P) Network exists in numerous scenarios where mobile users cluster and form coalitions, and the relationship between sizes of coalitions and distances from mobile nodes to their Point of Interest (PoI) follows exponential distributions. The P2P coalition patterns of mobile users and their exponential distribution behavior can be utilized for efficient and adaptive content file download of cellular users. An adaptive protocol named COADA (COalition-aware Adaptive content DownloAd) is designed that (a) blends cellular and P2P (e.g., WiFi or Bluetooth) wireless interfaces, (b) leverages the clustering of people into P2P coalitions when moving towards PoI, and (c) utilizes exponential-coalition-size function of the Dynamic Coalition P2P Network to minimize the cellular download and meet content file download deadline. With COADA protocol, mobile nodes periodically sample the current P2P coalition size and predict the future coalition size using the exponential function. In order to decide how much file data is available in P2P coalition channels versus how much file data must be downloaded from the server over the cellular network, Online Codes techniques are used and tune cellular download timers to meet the file download deadline. The simulation results show that COADA achieves considerable performance improvements by downloading less file data from the cellular channel and more file data over the P2P coalition network while meeting the file download deadline.

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Finke, Roger, and Amy Adamczyk. "The Association of Religion Data Archives (ARDA): Online Research Data, Tools and References." Politics and Religion 1, no. 3 (October 27, 2008): 456–70. http://dx.doi.org/10.1017/s1755048308000412.

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AbstractThe Association of Religion Data Archives (ARDA) currently archives over 500 local, national, and international data files, and offers a wide range of research tools to build surveys, preview data online, develop customized maps and reports of United States church membership, and examine religion differences across nations and regions of the world. The ARDA also supports reference and teaching tools that draw on the rich data archive. This research article offers a brief introduction to the quantitative data available for exploration or download, and a few of the website features most useful for research and teaching. Supported by the Lilly Endowment, the John Templeton Foundation, the Pennsylvania State University, and the Baylor Institute for Studies of Religion, all data downloads and online services are free of charge.

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Jones, Joshua P., Kurama Okubo, Tim Clements, and Marine A. Denolle. "SeisIO: A Fast, Efficient Geophysical Data Architecture for the Julia Language." Seismological Research Letters 91, no. 4 (April 29, 2020): 2368–77. http://dx.doi.org/10.1785/0220190295.

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Abstract SeisIO for the Julia language is a new geophysical data framework that combines the intuitive syntax of a high-level language with performance comparable to FORTRAN or C. Benchmark comparisons against recent versions of popular programs for seismic data download and analysis demonstrate significant improvements in file read speed and orders-of-magnitude improvements in memory overhead. Because the Julia language natively supports parallel computing with an intuitive syntax, we benchmark test parallel download and processing of multiweek segments of contiguous data from two sets of 10 broadband seismic stations, and find that SeisIO outperforms two popular Python-based tools for data downloads. The current capabilities of SeisIO include file read support for several geophysical data formats, online data access using a variety of services, and optimized versions of several common data processing operations. Tutorial notebooks and extensive documentation are available to improve the user experience. As an accessible example of performant scientific computing for the next generation of researchers, SeisIO offers ease of use and rapid learning without sacrificing computational efficiency.

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Choi, Jarny, Chris M. Pacheco, Rowland Mosbergen, Othmar Korn, Tyrone Chen, Isha Nagpal, Steve Englart, Paul W. Angel, and Christine A. Wells. "Stemformatics: visualize and download curated stem cell data." Nucleic Acids Research 47, no. D1 (November 8, 2018): D841—D846. http://dx.doi.org/10.1093/nar/gky1064.

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Li, Manqi (Maggie), Yan Huang, and Amitabh Sinha. "Data-Driven Promotion Planning for Paid Mobile Applications." Information Systems Research 31, no. 3 (September 2020): 1007–29. http://dx.doi.org/10.1287/isre.2020.0928.

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In this paper, we propose a two-step data-analytic approach to the promotion planning for mobile applications (apps). In the first step, we use historical sales data to estimate the app demand model and quantify the effect of price promotions on download volume. The estimation results reveal two interesting characteristics of the relationship between price promotion and download volume of mobile apps: (1) the magnitude of the direct immediate promotion effect is declining within a multiday promotion; and (2) due to the visibility effect (i.e., apps ranked high on the download chart are more visible to consumers), a price promotion also has an indirect effect on download volume by affecting app rank, and this effect can persist after the promotion ends. Based on the empirically estimated demand model, we propose a moving planning window heuristic to construct a promotion policy. Our heuristic promotion policy consists of shorter and more frequent promotions. We show that the proposed policy can increase the app lifetime revenue by around 10%.

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Chen, Xiang, and Yong Zhang. "A Kind of TD-SCDMA Download System Based on Cloud Computing." Key Engineering Materials 474-476 (April 2011): 903–7. http://dx.doi.org/10.4028/www.scientific.net/kem.474-476.903.

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TD-SCDMA communication platform based on concept of cloud computing is the natural trend of mobile communication development. Based on introduction of related concept of cloud and TD-SCDMA communication platform, the paper combined TD-SCDMA wireless communication network platform and cloud computing and designed wireless communication network download system under this concept. The communication manage module of system completes signaling transmission, data transmission control and monitoring. The Flash module block manage memory chip. Data block multi-threaded simultaneous downloads, combining with high-level protocol stack module, and the network data backup as well as wireless download transmission was implemented based on concept of cloud computing. System stability and efficiency has been proved in the platform development process.

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Arbiter, Brandon, Howard Look, Lindsay McComb, and Christopher Snider. "Why Download Data: The Benefits and Challenges of More Diabetes Data." Diabetes Spectrum 32, no. 3 (August 2019): 221–25. http://dx.doi.org/10.2337/ds18-0099.

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Han, Yao Jun, and Xue Mei Luo. "Modeling and Analysis of Multilingual Information Parallel Downloads in Data Grid." Applied Mechanics and Materials 263-266 (December 2012): 1424–28. http://dx.doi.org/10.4028/www.scientific.net/amm.263-266.1424.

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The need arises in parallel downloads of multilingual information for powerful graphical and analytical tools, as information with a variety of different languages distributed in different Web pages and the databases are heterogeneous and uneven in data grid. Petri net is a powerful graphical and mathematics tool for describing the concurrent, asynchronous and dynamic events. The parallel downloading of multilingual information was modeled and analyzed using extended timed colored Petri net (ETSdCPN). In ETSdCPN model, the color represents different languages information, and the time duration associated with place instead of transition is a function of tokens instead of constant. The reachable parallel download graph (RPDG) of ETSdCPN is defined. Finally, some important results such as rate of satisfaction and makespan of multilingual information parallel downloads are gotten by analyzing reachability of Petri net.

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Himawan, Arif, Adri Priadana, and Aris Murdiyanto. "Implementation of Web Scraping to Build a Web-Based Instagram Account Data Downloader Application." IJID (International Journal on Informatics for Development) 9, no. 2 (December 31, 2020): 59–65. http://dx.doi.org/10.14421/ijid.2020.09201.

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Instagram has been used by many groups, such as business people, academics, to politicians, to take advantage of the insights gained by processing and analyzing Instagram data for various purposes. However, before processing and analyzing data, users must first pass data collection or downloading from Instagram. The problem faced is that most data collection methods are still done manually as for many parties that offer Instagram account data download services with various price options. This research applied a web scraping method to automatically build a web-based Instagram account data download application so that several parties can use it. The web scraping method was chosen because by using this method, researchers do not need to use Instagram's Application Programming Interface (API), which has access restrictions in retrieving data on Instagram. In this study, application testing was conducted on 15 Instagram accounts with various publications, namely between 100 and 11000. Based on the download data analysis results, the application of the web scraping method to download Instagram account data can successfully download a maximum of 2412 account data. In this application, users can download Instagram account data to Data Collection and then manage it like deleting and exporting data collection in the form of CSV, Excel, or JSON.

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Maillard, A., G. Verfaillie, C. Pralet, J. Jaubert, I. Sebbag, F. Fontanari, and J. Lhermitte. "Adaptable Data Download Schedules for Agile Earth-Observing Satellites." Journal of Aerospace Information Systems 13, no. 8 (August 2016): 280–300. http://dx.doi.org/10.2514/1.i010383.

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Zhu, Wenlong, Dapeng Li, and Walid Saad. "Multiple Vehicles Collaborative Data Download Protocol via Network Coding." IEEE Transactions on Vehicular Technology 64, no. 4 (April 2015): 1607–19. http://dx.doi.org/10.1109/tvt.2014.2330978.

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Yarr, Neil, and Matteo Ceriotti. "Optimization of Intersatellite Routing for Real-Time Data Download." IEEE Transactions on Aerospace and Electronic Systems 54, no. 5 (October 2018): 2356–69. http://dx.doi.org/10.1109/taes.2018.2815880.

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Fu, Bao Hong, Feng Cui, Yu Liu, Chun Yu Xiong, Jun Chi Ma, Chuan Ying Wang, and Yu Kai Gao. "Management System for Well-Logging Data Curves Based on Delphi." Advanced Materials Research 753-755 (August 2013): 3116–19. http://dx.doi.org/10.4028/www.scientific.net/amr.753-755.3116.

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The system for well-logging data designed for data files unified management, can offer a function based on data query and download, also can offer instant replays for data curves. This system contains some functions following that format converting, uploading, query, download and preview for well-logging data curves. All system is designed by software Delphi GDI+.

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Wijayakusuma, I. Gusti Ngurah Lanang, and I. Ketut Restu Wiranata. "Perancangan Basis Data E-Library Program Studi Matematika FMIPA Universitas Udayana." Jurnal Matematika 8, no. 1 (June 30, 2018): 63. http://dx.doi.org/10.24843/jmat.2018.v08.i01.p98.

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Perancangan basis data merupakan proses membuat desain yang akan mendukung operasional dan tujuan suatu instansi. Pemanfaatan basis data pada e-library memungkinkan untuk menyimpan dan men-download e-book ataupun e-journal dengan mudah. Tujuan dari e-library itu sendiri terkait dengan efisiensi biaya penyimpanan fisik dan mempermudah civitas akademika FMIPA Udayana untuk mencari referensi-referensi yang akan digunakan dalam penelitian mereka. Metode yang digunakan dalam merancang basis data e-library adalah metode perancangan basis data relasional sampai dengan bentuk normal ke 3 (3-NF) dan skema basis data yang dihasilkan digambarkan dengan menggunakan SQLyog. Hasil perancangan sistem basis data e-library ini berupa tiga buah tabel yaitu tabel daftaranggota, tabel download, dan tabel katalog yang sudah memenuhi third norm form. Melalui rancangan basis data e-library ini pengguna dapat mengetahui laporan mengenai data mahasiswa yang menjadi anggota e-library, data download, dan data katalog berupa e-book ataupun e-journal yang tersedia, serta dapat mengetahui beberapa informasi lain yang bermanfaat bagi pengguna berkaitan dengan data pada tabel daftaranggota, tabel download, dan tabel katalog.

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Aydin, Gokhan, and Gokhan Silahtaroglu. "Insights into mobile health application market via a content analysis of marketplace data with machine learning." PLOS ONE 16, no. 1 (January 6, 2021): e0244302. http://dx.doi.org/10.1371/journal.pone.0244302.

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Background Despite the benefits offered by an abundance of health applications promoted on app marketplaces (e.g., Google Play Store), the wide adoption of mobile health and e-health apps is yet to come. Objective This study aims to investigate the current landscape of smartphone apps that focus on improving and sustaining health and wellbeing. Understanding the categories that popular apps focus on and the relevant features provided to users, which lead to higher user scores and downloads will offer insights to enable higher adoption in the general populace. This study on 1,000 mobile health applications aims to shed light on the reasons why particular apps are liked and adopted while many are not. Methods User-generated data (i.e. review scores) and company-generated data (i.e. app descriptions) were collected from app marketplaces and manually coded and categorized by two researchers. For analysis, Artificial Neural Networks, Random Forest and Naïve Bayes Artificial Intelligence algorithms were used. Results The analysis led to features that attracted more download behavior and higher user scores. The findings suggest that apps that mention a privacy policy or provide videos in description lead to higher user scores, whereas free apps with in-app purchase possibilities, social networking and sharing features and feedback mechanisms lead to higher number of downloads. Moreover, differences in user scores and the total number of downloads are detected in distinct subcategories of mobile health apps. Conclusion This study contributes to the current knowledge of m-health application use by reviewing mobile health applications using content analysis and machine learning algorithms. The content analysis adds significant value by providing classification, keywords and factors that influence download behavior and user scores in a m-health context.

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Gershenson, Seth, Morgan S. Polikoff, and Rui Wang. "When Paywall Goes AWOL: The Demand for Open-Access Education Research." Educational Researcher 49, no. 4 (March 2, 2020): 254–61. http://dx.doi.org/10.3102/0013189x20909834.

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As universities cut library funding and forego expensive journal subscriptions, many academic organizations and researchers, including the American Educational Research Association (AERA), are moving toward open-access publications that are freely downloadable by anyone with a working internet connection. However, the impact of paywalls on the consumption of academic articles is unclear. We provide novel evidence on this question by exploiting a natural experiment in which six high-impact, usually gated AERA journals became open access for a 2-month period in 2017. Using monthly download data and an always-open-access journal as a comparison group, we show that making journals open access likely increased article downloads in those journals by 55% to 95% per month. Given a per-article download price of $36, this suggests a relatively elastic response: The average price elasticity of demand for downloads is 1.2, with individual journal elasticities ranging from 0.6 to 2.

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Ammar, F., and Hanafi Hanafi. "ANALISIS TRANSFER RATE WIRELESS LOCAL AREA NETWORK DENGAN STANDAR IEEE 802.11A DAN IEEE 802.11G PADA KANAL LINE OF SIGHT." Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) 3, no. 1 (April 26, 2016): 31–39. http://dx.doi.org/10.33019/ecotipe.v3i1.28.

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WiFi bekerja pada band 2,4 GHz dan 5 GHz. Standar WiFi yang bekerja pada frekuensi ini antara lain IEEE802.11g dan IEEE802.11a. Pada penelitian ini dilakukan pengukuran terhadap transfer rate download dan upload data dengan standar IEEE802.11g dan IEEE802.11a. Pengukuran dilakukan pada kanal Line of Sight (LOS), menggunakan dua buah laptop yang dihubungkan dengan Access Point (AP) standar IEEE802.11g dan IEEE802.11a. Hasil penelitian diperoleh, pada standar IEEE802.11g, transfer rate download dan upload data tertinggi 2.662,54.KB/s dan 2.549,60 KB/s, dan terendah 484,50.KB/s dan 477,40 KB/s, sedangkan pada standar IEEE802.11a, transfer rate download dan upload data tertinggi 8.104,68 KB/s dan 5.744,24 KB/s, dan terendah 872,24 KB/s dan 465,38.KB/s. Pada standar IEEE802.11g, transfer rate download dan upload data pada sinyal terendah hingga di bawah 35% dan 30%, dari transfer rate download dan upload data tertinggi. Pada standar IEEE802.11a, transfer rate download dan upload data pada kualitas sinyal terendah hingga di bawah 20% dan 30%, dari transfer rate download dan upload data tertinggi. Kemampuan transfer rate download data Standar IEEE802.11a, 2–3 kali lebih baik pada kondisi kualitas sinyal tertinggi, dan tidak lebih dari 2 kali pada kondisi kualitas sinyal terendah, dibandingkan kemampuan transfer rate download data standar IEEE802.11g. Kemampuan transfer rate upload data Standar IEEE802.11a, 1,4–3 kali lebih baik pada kondisi kualitas sinyal tertinggi, dan 1-3 kali lebih baik pada kondisi kualitas sinyal terendah, dibandingkan kemampuan transfer rate upload data standar IEEE802.11g.

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Huang, Chung-Ming, and Yu-Fen Chen. "Proximate Sharing of Downloaded Geo Data Using the Vehicular Social Network (VSN) Technique." MATEC Web of Conferences 210 (2018): 03007. http://dx.doi.org/10.1051/matecconf/201821003007.

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This work proposed a clustering scheme for Point Of Interests’ (POIs’) geo data sharing in Vehicular Social Network (VSN). In the proposed scheme, some vehicles can form a cluster to downloaded POIs’ geo data when they are approaching to a new set of POIs. One vehicle is chosen as the cluster head to download POIs’ geo data using its cellular network and shares the downloaded POIs’ geo data to its cluster members using IEEE 802.11p network. This work (1) uses GPS to get vehicles’ locations to calculate the timing of triggering the clustering process, and (2) proposes a clustering method to organize a group of vehicles that are proximate with each other for a while during their touring to become a cluster. The simulation results show that the proposed scheme can have higher available distance and higher successful ratio of the complete sharing of downloaded POIs’ geo data.

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OBrien, Patrick, Kenning Arlitsch, Jeff Mixter, Jonathan Wheeler, and Leila Belle Sterman. "RAMP – the Repository Analytics and Metrics Portal." Library Hi Tech 35, no. 1 (March 20, 2017): 144–58. http://dx.doi.org/10.1108/lht-11-2016-0122.

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Purpose The purpose of this paper is to present data that begin to detail the deficiencies of log file analytics reporting methods that are commonly built into institutional repository (IR) platforms. The authors propose a new method for collecting and reporting IR item download metrics. This paper introduces a web service prototype that captures activity that current analytics methods are likely to either miss or over-report. Design/methodology/approach Data were extracted from DSpace Solr logs of an IR and were cross-referenced with Google Analytics and Google Search Console data to directly compare Citable Content Downloads recorded by each method. Findings This study provides evidence that log file analytics data appear to grossly over-report due to traffic from robots that are difficult to identify and screen. The study also introduces a proof-of-concept prototype that makes the research method easily accessible to IR managers who seek accurate counts of Citable Content Downloads. Research limitations/implications The method described in this paper does not account for direct access to Citable Content Downloads that originate outside Google Search properties. Originality/value This paper proposes that IR managers adopt a new reporting framework that classifies IR page views and download activity into three categories that communicate metrics about user activity related to the research process. It also proposes that IR managers rely on a hybrid of existing Google Services to improve reporting of Citable Content Downloads and offers a prototype web service where IR managers can test results for their repositories.

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REN, Jie, Ling GAO, Hai WANG, and Yan CHEN. "A Method of Power Aware Large Data Download on Smartphone." IEICE Transactions on Information and Systems E98.D, no. 1 (2015): 131–39. http://dx.doi.org/10.1587/transinf.2014edp7178.

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Shah, N. B. "On Minimizing Data-Read and Download for Storage-Node Recovery." IEEE Communications Letters 17, no. 5 (May 2013): 964–67. http://dx.doi.org/10.1109/lcomm.2013.040213.130006.

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Tadrous, John, Atilla Eryilmaz, and Hesham El Gamal. "Proactive Content Download and User Demand Shaping for Data Networks." IEEE/ACM Transactions on Networking 23, no. 6 (December 2015): 1917–30. http://dx.doi.org/10.1109/tnet.2014.2346694.

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HALVORSEN, PÅL, TOM ANDERS DALSENG, and CARSTEN GRIWODZ. "ASSESSMENT OF LINUX' DATA PATH IMPLEMENTATIONS FOR DOWNLOAD AND STREAMING." International Journal of Software Engineering and Knowledge Engineering 17, no. 04 (August 2007): 465–81. http://dx.doi.org/10.1142/s0218194007003343.

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Distributed multimedia streaming systems are increasingly popular due to technological advances, and numerous streaming services are available today. On servers or proxy caches, there is a huge scaling challenge in supporting thousands of concurrent users that request delivery of high-rate, time-dependent data like audio and video, because this requires transfers of large amounts of data through several sub-systems within a streaming node. Unnecessary copy operations in the data path can therefore contribute significantly to the resource consumption of streaming operations. Despite previous research, off-the-shelf operating systems have only limited support for data paths that have been optimized for streaming. Additionally, system call overhead has grown with newer operating systems editions, adding to the cost of data movement. Frequently, it is argued that these issues can be ignored because of the continuing growth of CPU speeds. However, such an argument fails to take problems of modern streaming systems into account. The dissipation of heat generated by disks and high-end CPUs is a major problem of data centers, which would be alleviated if less power-hungry CPUs could be used. The power budget of mobile devices, which are increasingly used for streaming as well, is tight, and reduced power consumption an important issue. In this paper, we prove that these operations consume a large amount of resources, and we therefore revisit the data movement problem and provide a comprehensive evaluation of possible streaming data I/O paths in the Linux 2.6 kernel. We have implemented and evaluated several enhanced mechanisms and show how to provide support for more efficient memory usage and reduction of user/kernel space switches for content download and streaming applications. In particular, we are able to reduce the CPU usage by approximately 27% compared to the best approach without kernel modifications, by removing copy operations and system calls for a streaming scenario in which RTP headers must be added to stored data for sequence numbers and timing.

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Herrera-Cubides, Jhon Francined, Paulo Alonso Gaona-García, and Kevin Gordillo-Orjuela. "Una Mirada a la Web de los Datos. Caso de Estudio: Consumo de Servicios CKAN." Ingeniería 22, no. 1 (January 30, 2017): 111. http://dx.doi.org/10.14483/udistrital.jour.reving.2017.1.a07.

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Context: In order to assess basic criteria so as to obtain preliminary guidelines on the current state of the Web of Data, we analyze the connection and use of the services offered by CKAN - Comprehensive Knowledge Archive Network; the analysis is conducted through exploration and connection to datasets published in the datahub.io open data repository.Method: We use the services offered by CKAN for browsing and downloading datasets published in Datahub.io, we propose a procedure carried out to analyze the downloaded data. The proposal consists of three key activities: (1) review and analysis of platform, (2) Setting up and using the services provided by the API and (3) download and review of the information obtained.Results: The required services offered by the platform CKAN were configured and deployed, in order to carry out queries and downloads related to each dataset. The obtained information was processed and analyzed from the downloaded JSON, allowing a comparative preliminary analysis of the information regarding the behavior of the Web of Data.Conclusions: CKAN is a powerful tool to manage data catalogs. This tool can handle a description of the data and other relevant information, from organizations that publish to people who query such information. These queries provide information as categories of organizations, data formats and owners, the type of publication licenses, links to other data, among other which are relevant to perform an analysis of the Web data.

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Wang, Zehua, Hamed Shah-Mansouri, and Vincent W. S. Wong. "How to Download More Data from Neighbors? A Metric for D2D Data Offloading Opportunity." IEEE Transactions on Mobile Computing 16, no. 6 (June 1, 2017): 1658–75. http://dx.doi.org/10.1109/tmc.2016.2604260.

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Hoarfrost, Adrienne, Nick Brown, C. Titus Brown, and Carol Arnosti. "Sequencing data discovery with MetaSeek." Bioinformatics 35, no. 22 (June 21, 2019): 4857–59. http://dx.doi.org/10.1093/bioinformatics/btz499.

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Abstract Summary Sequencing data resources have increased exponentially in recent years, as has interest in large-scale meta-analyses of integrated next-generation sequencing datasets. However, curation of integrated datasets that match a user’s particular research priorities is currently a time-intensive and imprecise task. MetaSeek is a sequencing data discovery tool that enables users to flexibly search and filter on any metadata field to quickly find the sequencing datasets that meet their needs. MetaSeek automatically scrapes metadata from all publicly available datasets in the Sequence Read Archive, cleans and parses messy, user-provided metadata into a structured, standard-compliant database and predicts missing fields where possible. MetaSeek provides a web-based graphical user interface and interactive visualization dashboard, as well as a programmatic API to rapidly search, filter, visualize, save, share and download matching sequencing metadata. Availability and implementation The MetaSeek online interface is available at https://www.metaseek.cloud/. The MetaSeek database can also be accessed via API to programmatically search, filter and download all metadata. MetaSeek source code, metadata scrapers and documents are available at https://github.com/MetaSeek-Sequencing-Data-Discovery/metaseek/.

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MUSTOFA, INDRA HADI. "ANALISA PROFIL BANDWIDTH JARINGAN COPPER, FIBER OPTIK DAN MIGRASI SERTA LOSS LINK BUDGET DI PT TELKOM KEDIRI." Generation Journal 3, no. 2 (August 30, 2019): 13. http://dx.doi.org/10.29407/gj.v3i2.13342.

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Dalam hal layanan indihome 3P jaringan copper tidak mampu mengirim data internet yang maksimal </= 3 Mbps maka dari itu dimigrasikan ke jaringan fiber optik yang mengirimkan bandwidth sampai >100 Mbps. Rata-rata bandwidth jaringan copper upload 0,62 dan download 3,28 Mbps , serta jaringan fiber optik untuk upload 2,57 Mbps dan upload 11,62 Mbps, serta migrasi upload 7,01Mbps dan download 10,73 Mbps Attenuation atau redaman jaringan copper upload 16,82 dBm dan download 33,77 dBm serta jaringan fiiber optik atau migrasi redaman upload 2,44dBm dan download -20,34 dBm. Kabel fiber optik dalam pengiriman data melalui gelombang upload 1310 nm , download 1490 nm, streaming 1550 nm dengan loss link budget </= -28 dBm . Kata Kunci : Copper, Fiber Optik, Migrasi, Bandwidth, Loss Link Budget.

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Ontoseno, R. Dion Handoyo, Muhammad Nurul Haqqi, and Moch Hatta. "LIMITASI PENGGUNA AKSES INTERNET BERDASARKAN KUOTA WAKTU DAN DATA MENGGUNAKAN PC ROUTER OS MIKROTIK." Teknika: Engineering and Sains Journal 1, no. 2 (December 18, 2017): 125. http://dx.doi.org/10.51804/tesj.v1i2.134.125-130.

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Sejalan dengan kemajuan dan pengembangan Teknologi Informasi dan Komunikasi (TIK) terutama dalam bidang jaringan komputer maka menuntut lembaga pendidikan terutama sekolah, yakni SMK YPM 7 Tarik dalam membangun sebuah Laboratorium TIK yang dilengkapi dengan internet agar dapat diakses oleh guru dan siswa untuk mendapat informasi yang update, cepat dan akurat. Akan tetapi kebebasan dalam memakai internet untuk download dan upload di laboratorium terkadang digunakan siswa untuk hal-hal yang kurang berguna dalam lingkungan pendidikan misalnya men-download film atau lagu. Untuk mengatasi hal tersebut maka diperlukan suatu sistem mangement bandwidth untuk mengatur pemakaian bandwidth di tiap-tiap user laboratorium agar penggunaan bandwidth dapat optimal sesuai dengan porsi dan kebutuhan masing-masing client dengan pembatasan download maupun upload. Salah satu perangkat yang dapat memanajemen bandwidth adalah Router. Personal komputer (PC) router berbasis mikrotik merupakan alternatif untuk menekan biaya pembelian router pabrikan yang harganya masih mahal. Mikrotik sebagai sistem operasi karena memiliki beberapa kelebihan, yaitu lisensinya murah, tidak membutuhkan spesifikasi hardware yang besar, instalasi tidak rumit dan administrasinya mudah.

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Cao, Kun, Fei Wang, and Jin Gang Liu. "Study and Implementation of PM2.5 Data Download Service Based on Python." Applied Mechanics and Materials 411-414 (September 2013): 555–58. http://dx.doi.org/10.4028/www.scientific.net/amm.411-414.555.

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Aiming at the present situation of research institutions attaching great importance to air pollution control but air quality data acquisition is not convenient, solutions based on Python and Django to provide the service of the air quality data downloading such as PM2.5 is proposed along with their detailed implementation process in Web system design and development. The results indicate that, these techniques enhanced the developing efficiency, the system's service of data downloading can provide comprehensive monitoring data which can be used directly by researchers and improve their efficiency. Accumulated historical data storage is also very important to the study of air quality changing and the pollution prevention.

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Cao, Dan Yang, Kang Ning Xu, Zhi Yan Wang, and Ji Wu Ma. "Design and Development of EOS/MODIS Satellite Data Automatic Download Robot." Applied Mechanics and Materials 423-426 (September 2013): 2737–41. http://dx.doi.org/10.4028/www.scientific.net/amm.423-426.2737.

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With the development and advancement of technology, remote sensing data of MODIS satellite become more precise, loved and applied by relevant researchers widely. This software enables remote sensing data of EOS/MODIS satellite's automated ordering and address of FTP resource's accessing, providing convenience for users. Currently, the software with stable and reliable performance, is robust, fully automated, and can provide services to all kinds of users of remote sensing data of MODIS satellite.

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Hloba, L. S., and M. A. Skulysh. "Planning the loading of data centers' resources based on download statistics." Visnyk NTUU KPI Seriia - Radiotekhnika Radioaparatobuduvannia, no. 65 (June 30, 2016): 62–72. http://dx.doi.org/10.20535/radap.2016.65.62-72.

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Lupiáñez-Villanueva, Francisco, Frans Folkvord, and Mariek Vanden Abeele. "Influence of the Business Revenue, Recommendation, and Provider Models on Mobile Health App Adoption: Three-Country Experimental Vignette Study." JMIR mHealth and uHealth 8, no. 6 (June 4, 2020): e17272. http://dx.doi.org/10.2196/17272.

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Background Despite the worldwide growth in mobile health (mHealth) tools and the possible benefits of mHealth for patients and health care providers, scientific research examining factors explaining the adoption level of mHealth tools remains scarce. Objective We performed an experimental vignette study to investigate how four factors related to the business model of an mHealth app affect its adoption and users’ willingness to pay: (1) the revenue model (ie, sharing data with third parties vs accepting advertisements); (2) the data protection model (General Data Protection Regulation [GDPR]-compliant data handling vs nonGDPR-compliant data handling); (3) the recommendation model (ie, doctor vs patient recommendation); and (4) the provider model (ie, pharmaceutical vs medical association provider). In addition, health consciousness, health information orientation, and electronic health literacy were explored as intrapersonal predictors of adoption. Methods We conducted an experimental study in three countries, Spain (N=800), Germany (N=800), and the Netherlands (N=416), to assess the influence of multiple business models and intrapersonal characteristics on the willingness to pay and intention to download a health app. Results The revenue model did not affect willingness to pay or intentions to download the app in all three countries. In the Netherlands, data protection increased willingness to pay for the health app (P<.001). Moreover, in all three countries, data protection increased the likelihood of downloading the app (P<.001). In Germany (P=.04) and the Netherlands (P=.007), a doctor recommendation increased both willingness to pay and intention to download the health app. For all three countries, apps manufactured in association with a medical organization were more likely to be downloaded (P<.001). Finally, in all three countries, men, younger individuals, those with higher levels of education, and people with a health information orientation were willing to pay more for adoption of the health app and had a higher intention to download the app. Conclusions The finding that people want their data protected by legislation but are not willing to pay more for data protection suggests that in the context of mHealth, app privacy protection cannot be leveraged as a selling point. However, people do value a doctor recommendation and apps manufactured by a medical association, which particularly influence their intention to download an mHealth app.

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Bhaskara, I. Made Adi, Dewa Made Wiharta, and Oka Saputra. "Perancangan Sistem Penyedia File Sharing dengan Enkripsi URL menggunakan Algoritma Rijndael." Majalah Ilmiah Teknologi Elektro 19, no. 2 (December 7, 2020): 171. http://dx.doi.org/10.24843/mite.2020.v19i02.p08.

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Informasi di era digital ini berkembang sangat pesat dilihat dari pertukaran informasi yang cepat. Informasi berupa data atau teks tersebar secara luas dan dapat disebarkan secara mudah dan cepat melalui website. Umumnya sebuah website menggunakan pemrograman berbasis website dengan metode GET dimana metode GET memiliki kelemahan data sistem dapat dilihat di direktori akses. Hal ini menyebabkan data yang ada pada direktori tersebut dapat diambil oleh orang yang tidak berwenang. Berdasarkan permasalahan tersebut maka dirancang sistem penyedia file sharing dengan enkripsi URL menggunakan algortima rijndael. Sistem menyediakan layanan untuk membagikan data dan melakukan download data secara aman. Antara penyedia dan penerima data masing-masing memiliki aplikasi yakni aplikasi untuk upload dan aplikasi untuk download dan admin yang bertugas mengatur jumlah user pengguna aplikasi. Data yang ada pada URL yang dibagikan user aplikasi upload yang sudah berupa cipherteks hasil enkripsi dengan algoritma rijndael yang dibagikan hanya bisa didownload oleh user aplikasi download. Masing-masing aplikasi terdapat proses autentikasi dimana hanya user yang teregistrasi yang dapat mengakses aplikasi tersebut sesuai peran masing-masing. Penelitian yang telah dilakukan mendapatkan hasil enkripsi yang dilakukan pada aplikasi upload mengubah URL menjadi cipherteks yang hanya bisa didownload menggunakan aplikasi download sehingga kelemahan pada metode GET dapat diatasi. Kata Kunci metode GET, enkripsi, URL, algoritma rijndael, autentikasi, download, upload cipherteks

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Camilleri, Mark. "Malta’s ISBN Database and the Benefits of Open Data." Logos 30, no. 1 (June 6, 2019): 28–30. http://dx.doi.org/10.1163/18784712-03001006.

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In 2016, the National Book Council, the ISBN agency for Malta, released its ISBN database online. A few months later, the ISBN database was enhanced with an open-data feature that enables users to download the search results in a single file with read and write access. The database includes all the ISBN data of Malta except for some records and data that were lost during the period before 2013 when paper data storage of ISBN records was the common practice. The implementation of an ISBN electronic database now ensures that no data go missing and facilitates the preservation of metadata. As added value, the open-data system provides access to all of the ISBN records as listed in the database, which means that virtually all of the ISBN data elements can be downloaded from the database. Researchers, publishers, authors, and booksellers all stand to benefit from this open ISBN data system.

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Moreira, Átila Valgueiro Malta, Vicente Filho, and Geber Ramalho. "Which features matter to make a successful mobile game?" Journal on Interactive Systems 5, no. 2 (November 6, 2014): 1. http://dx.doi.org/10.5753/jis.2014.645.

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As mobile game distribution costs gets near zero, the number of available games on app stores, which is already enormous, continues to grow. It gets increasingly difficult for game developers to build a mobile game and achieve the top positions on charts. With it in mind, this paper’s main purpose is to investigate the relationship between game features and the performance achieved by mobile games in terms of number of downloads and gross revenue. A total of 37 game features were analyzed in order to study how each of them influence mobile games’ performance on app stores. The performance of mobile games is measured based on their current position in download and revenue charts on Google Play store. A linear regression model that maps game features and charts performance is trained using a M5 prime classifier and data from 64 mobile games. Results show how each game feature influences the download and revenue performance of successful mobile games.

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Schrag, Janelle, Latha Shivakumar, Monique Dawkins, Leigh Boehmer, and Lorna Lucas. "Exploring online access of an immuno-oncology wallet card among oncology providers." Journal of Clinical Oncology 38, no. 5_suppl (February 10, 2020): 93. http://dx.doi.org/10.1200/jco.2020.38.5_suppl.93.

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93 Background: In 2019, the Association of Community Cancer Centers (ACCC) developed an immuno-oncology (IO) wallet card to address the continuous need for immune-related adverse event education and resources, particularly for IO patients and the non-oncology providers from whom they receive care. The wallet card was distributed to ACCC’s membership of cancer programs via mailings and online, which included a short survey for users to complete at time of download. Methods: To better understand the demographics and motivations of individuals who access the IO wallet card, an exploratory analysis was performed on data collected through the download survey. Data included the survey responses from all downloads between March and September 2019 (n = 141), which was then cleaned to remove duplicates, incomplete responses, and responses from ACCC staff, international users, pharmaceutical representatives, consultants, and patients. Analysis was then performed on the resulting data set of downloads from US-based health care providers (n = 86). Results: Cancer program administrators and nurses accounted for the majority of downloads (30% and 20%, respectively), as well as individuals from comprehensive community cancer programs (44%) and NCI-designated comprehensive cancer programs (16%). Fewer downloads came from other oncology disciplines (2-9%) and small practices (2-6%). Survey responses indicated that the majority of downloads were due to the cancer program not already having the resource (47%), or for comparison with a wallet card developed by the cancer program (15%) or another organization (10%). Patient education materials provided by these institutions included wallet cards (45%), as well as print materials developed by the cancer program (16%), another professional organization (7%), or distributed by drug companies (5%). Conclusions: These finding shed light on the primary audiences accessing the IO wallet card, how this resource may complement other IO patient education materials, and areas where additional education may be needed. Specifically, IO wallet card dissemination or related education may need to be tailored to better reach specific oncology disciplines as well as those practicing in smaller clinics.

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Kurnia, Dian. "RANCANG BANGUN PEMBAGIAN BANWIDTH DAN MONITORING JARINGAN MENGGUNAKAN METODE HTB DAN CACTI PADA JARINGAN INTERNET DI SMAN 1 HAMPARAN PERAK." Computer Engineering, Science and System Journal 3, no. 2 (August 1, 2018): 134. http://dx.doi.org/10.24114/cess.v3i2.10068.

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Pada penelitian sekarang peneliti akan menerapkan pembagian bandwidth secara merata menggunakan metode HTB (Hierarchical Token Bucket) dimana metode ini dapat mengontrol penggunaan bandwidth terhadap link yang diberikan kepada setiap client yang terkoneksi pada jaringan tersebut. HTB memungkinkan penggunaan fisik link single untuk menampilkan multiple link dan untuk mengirimkan jenis traffic yang berbeda pada tampilan link yang berbeda. Dengan kata lain, HTB sangat berguna untuk membatasi rating download dan upload client. Dengan demikian client tidak dapat seenaknya menggunakan semua kapasitas bandwidth. merupakan solusi jaringan grafik lengkap yang dirancang untuk memanfaatkan kekuatan penyimpanan data RRDTool dan fungsi grafik. Cacti menyediakan poller cepat, canggih grafik template, beberapa metode akuisisi data, dan manajemen pengguna fitur luar kotak. Dari hasil penelitian implementasi tanpa limit HTB upload/download = 1,8 Mbps/11Mbps, implementasi menggunakan limit HTB upload/download yang disetting pada queue tree upload/download = 750k/750k dan hasil speedtestnya yaitu upload/download = 708k/714k. cacti dapat memonitoring beberapa situs yang di akses oleh user.

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Rosati, Dora P., Matthew H. Woolhouse, Benjamin M. Bolker, and David J. D. Earn. "Modelling song popularity as a contagious process." Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 477, no. 2253 (September 2021): 20210457. http://dx.doi.org/10.1098/rspa.2021.0457.

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Popular songs are often said to be ‘contagious’, ‘infectious’ or ‘viral’. We find that download count time series for many popular songs resemble infectious disease epidemic curves. This paper suggests infectious disease transmission models could help clarify mechanisms that contribute to the ‘spread’ of song preferences and how these mechanisms underlie song popularity. We analysed data from MixRadio, comprising song downloads through Nokia cell phones in Great Britain from 2007 to 2014. We compared the ability of the standard susceptible–infectious–recovered (SIR) epidemic model and a phenomenological (spline) model to fit download time series of popular songs. We fitted these same models to simulated epidemic time series generated by the SIR model. Song downloads are captured better by the SIR model, to the same extent that actual SIR simulations are fitted better by the SIR model than by splines. This suggests that the social processes underlying song popularity are similar to those that drive infectious disease transmission. We draw conclusions about song popularity within specific genres based on estimated SIR parameters. In particular, we argue that faster spread of preferences for Electronica songs may reflect stronger connectivity of the ‘susceptible community’, compared with the larger and broader community that listens to more common genres.

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Kim, Dae-Young, and Seokhoon Kim. "A Data Download Method from RSUs using Fog Computing in Connected Vehicles." Computers, Materials & Continua 59, no. 2 (2019): 375–87. http://dx.doi.org/10.32604/cmc.2019.06077.

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E. LaZerte, Stefanie, and Sam Albers. "weathercan: Download and format weather data from Environment and Climate Change Canada." Journal of Open Source Software 3, no. 22 (February 11, 2018): 571. http://dx.doi.org/10.21105/joss.00571.

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Margetts, Helen, Ning Wang, Scott A. Hale, Sumin Lee, and Jonathan Bright. "Explaining Download Patterns in Open Government Data: Citizen participation or private enterprise?" International Journal of Electronic Governance 11, no. 2 (2019): 1. http://dx.doi.org/10.1504/ijeg.2019.10017089.

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Journal articles on the topic 'Download data'

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