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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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Suhendani, Suhendani. "Pemanfaatan koleksi Perpustakaan Pusat Pendayagunaan Informatika dan Kawasan Strategis Nuklir BATAN menggunakan ISO 11620:2014." Jurnal Kajian Informasi & Perpustakaan 9, no. 2 (December 31, 2021): 161. http://dx.doi.org/10.24198/jkip.v9i2.29892.
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The library collection is an essential element of a library. The increasing turnover and collection usage by users in the library will affect the library's performance. The availability of collections in the library is an adequate number of collections and the availability of several collections owned by a library. This study aimed to determine utilization of the Central Library for Utilization of Informatics collection and the BATAN Nuclear Strategic Area using ISO 11620:2014. This study used a descriptive method with a quantitative approach, derived from numerical data of circulation services from 2017 to 2019. Results showed that the overall level of borrowing library materials decreased due to reduced direct user visits to libraries and digital libraries. The utilization level of library collections by the population to be served has increased significantly. Documents downloaded were six titles, and the highest download frequency was four times in 2018. Besides, documents downloaded were four titles, and the highest download frequency was 23 times in 2019. Users found the information they were interested in from electronic collections that were downloaded every year, namely radiography training exam questions. The presence of electronic documents is considered quite relevant and useful according to the user's information needs. Many collections of the Central Library for the Utilization of Informatics and the Nuclear Strategic Area of BATAN are not lent due to the availability of collections that are not yet relevant to users' needs. It significantly affects the turnover of the collection.
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Hikmaturokhman, Alfin, Wahyu Pamungkas, and Muhamad Alwi Sibro Malisi. "Analisis Kualitas Jaringan 2G Pada Frekuensi 900MHz Dan 1800MHz Di Area Purwokerto." JURNAL INFOTEL - Informatika Telekomunikasi Elektronika 5, no. 2 (November 10, 2013): 1. http://dx.doi.org/10.20895/infotel.v5i2.1.
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Teknologi 2G GSM masih banyak digunakan untuk komunikasi selular pada layanan suara maupun data. Performansi jaringan sangat berpengaruh terhadap layanan komunikasi yang digunakan. Drive test merupakan salah satu metode yang digunakan untuk mengamati performansi jaringan dari sisi penerima. Penelitian ini membahas tentang bagaimana cara pengamatan performasi jaringan dengan metode drive test single site. Parameter yang diamati untuk mengetahui performansi suatu jaringan 2G adalah Rx Level, Rx Qual, SQI dan Throughput. Rx Level yaitu digunakan untuk pengamatan level sinyal penerima dari BTS. Rx Qual digunakan untuk menentukan kualitas sinyal penerima. SQI merupakan nilai indikator dari kualitas layanan suara. Throughput menampilkan nilai pengamatan layanan data hasil download dan upload. Hasil pengamatan dari drive test single site ini memperoleh nilai level sinyal atau Rx Level ? -85 dBm dapat mencapai 80% untuk frekuensi 900 MHz sedangkan pada frekuensi 1800 MHz memperoleh 74,95%, Rx Qual dari range 0-3 memperoleh 26,58% pada frekuensi 900 MHz dan 33,81% pada frekuensi 1800 MHz. Nilai throughput maksimum dapat mencapai target 60 Kbps pada penggunaan download GPRS dan 90 Kbps untuk penggunaan download EDGE, sedangkan nilai throughput upload dapat mencapai 30 Kbps pada GPRS dan 60 Kbps pada EDGE. Nilai maksimum throughput download maupun upload pada jaringan 2G di BTS Teluk masih dalam keadaan normal dengan melihat hasil nilai maksimum throughput berdasarkan Key Performance Indicator (KPI).
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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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Qu, Qinghui, and Xinyang Zhang. "Bibliometric Study on the Highly Cited Papers and Correlation Between Citation Frequency and Download Frequency in Chinese Medicine Journals." International Journal of Pattern Recognition and Artificial Intelligence 35, no. 10 (July 30, 2021): 2153004. http://dx.doi.org/10.1142/s0218001421530049.
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The purpose of this paper is to retrieve and study the highly cited papers as well as the correlation between the citation frequency and the download frequency of the 20 traditional Chinese medicine journals in China, in order to provide the guidance for improving the influence and academic quality of these journals. Bibliometric analyses were conducted on 1103 papers of 20 traditional Chinese medicine journals from 2011 to 2020 by retrieving for the China Academic Journal Network Publishing Database (CAJD) in China National Knowledge Infrastructure (CNKI). SPSS 17.0 software was used to analyze the correlation between the citation frequency and the download frequency via conducting regression fitting and establishing the mathematical models. The results showed that the total citations of the 1103 papers were 93051 times and the average citations were 84.36 times per paper. The total downloads of the 1103 papers were 2058442 times, and the average downloads were 1866.22 times per paper. China Journal of Chinese Materia Medica ranked first according to the number of papers, total citations and total downloads. The citations of Journal of Chinese Medicinal Materials ranked first based on the number of citations per paper. One of Li’s paper had been cited the most (983 times). There were 629 (57.03%) papers whose first author was from universities. The scopes of the first authors were distributed in 29 regions and 2 special administrative regions (Macao, Hong Kong) in China. The authors from Beijing published 283 (25.66%) papers, ranking number one. The number of papers supported by funds was 882 (79.96%). The research results of correlation showed that the citation frequency and the download frequency of the highly cited papers had a highly positive correlation from both journal and paper level for whether the sample data of journals was normally distributed or nonnormally distributed. The correlation coefficients of the 20 journals at journal level and that at paper level were 0.9765 and 0.6677, respectively. The correlation was better at journal level than that at paper level, while the optimal regression fitting was all cubic polynomial. Among the 1103 papers, there were 684 (62.01%) research papers and 419 (37.99%) review papers. The main citation period of the top 15 papers was from the 2nd year to the 6th year after publication, accounting for 78.39%. Papers on clinical therapeutics research, papers on the pharmacological effects and its mechanism of traditional Chinese medicine, and papers on traditional Chinese medicine and natural medicine were the main source of the highly cited papers of the traditional Chinese medicine journals. Editors of the journals should focus on the above-mentioned research areas to select manuscripts for exploiting the excellent sources extensively, while paying attention to review papers, focusing on national major or key projects, paying attention to network spreading, stabilizing authors with quality services, in order to improve the influence and the academic quality of journals.
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Geerds, Merle A. J., Wieke S. Nijmeijer, J. H. Hegeman, and Miriam M. R. Vollenbroek-Hutten. "Mobile App for Monitoring 3-Month Postoperative Functional Outcome After Hip Fracture: Usability Study." JMIR Human Factors 7, no. 3 (September 14, 2020): e16989. http://dx.doi.org/10.2196/16989.
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Background As a result of an aging population, there has been an increasing incidence of hip fractures worldwide. In the Netherlands, in order to improve the quality of care for elderly patients with hip fractures, the multidisciplinary Centre for Geriatric Traumatology was established in 2008 at the Department of Trauma Surgery at Ziekenhuisgroep Twente hospital (located in Almelo and Hengelo in the Netherlands). Objective Though the Dutch Hip Fracture audit is used to monitor the quality of care for patients with fractures of the hip, only 30.7% of patients complete registration in the 3-month follow-up period. Mobile apps offer an opportunity for improvement in this area. The aim of this study was to investigate the usability and acceptance of a mobile app for gathering indicators of quality of care in a 3-month follow-up period after postoperative treatment of hip fracture. Methods From July 2017 to December 2017, patients who underwent surgical treatment for hip fracture were recruited. Patients and caregivers, who were collectively considered the participant cohort, were asked to download the app and answer a questionnaire. Participants were divided into two groups—those who downloaded the app and those who did not download the app. A telephone interview that was based upon the Unified Theory of Acceptance and Use of Technology was conducted with a subset of participants from each group (1:1 ratio). This study was designated as not being subject to the Dutch Medical Research Involving Human Subjects Act according to the appropriate medical research ethics committees. Results Of the patients and caregivers who participated, 26.4% (29/110) downloaded the app, whereas 73.6% (81/110) did not. Telephone interviews with the subset of participants (n=24 per group) revealed that 54.0% (13/24) of the group of participants who did not download the app had forgotten the study. Among the group who downloaded the app, 95.8% (23/24) had the intention of completing the questionnaire, but only 4.2% (1/24) did so. The reasons for not completing the questionnaire included technical problems, cognitive disorders, or patient dependency on caregivers. Most participants in the group who downloaded the app self-reported a high level of expertise in using a smartphone (22/24, 91.7%), and sufficient facilitating conditions for using a smartphone were self-reported in both groups (downloaded the app: 23/24, 95.8%; did not download the app: 21/24, 87.5%), suggesting that these factors were not barriers to completion. Conclusions Despite self-reported intention to use the app, smartphone expertise, and sufficient facilitating conditions for smartphone use, implementation of the mobile app was infeasible for daily practice. This was due to a combination of technical problems, factors related to the implementation process, and the population of interest having cognitive disorders or a dependency on caregivers for mobile technology.
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Liu, Bin, Xin Gao, and Hanyu Zhang. "BioSeq-Analysis2.0: an updated platform for analyzing DNA, RNA and protein sequences at sequence level and residue level based on machine learning approaches." Nucleic Acids Research 47, no. 20 (September 4, 2019): e127-e127. http://dx.doi.org/10.1093/nar/gkz740.
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Abstract As the first web server to analyze various biological sequences at sequence level based on machine learning approaches, many powerful predictors in the field of computational biology have been developed with the assistance of the BioSeq-Analysis. However, the BioSeq-Analysis can be only applied to the sequence-level analysis tasks, preventing its applications to the residue-level analysis tasks, and an intelligent tool that is able to automatically generate various predictors for biological sequence analysis at both residue level and sequence level is highly desired. In this regard, we decided to publish an important updated server covering a total of 26 features at the residue level and 90 features at the sequence level called BioSeq-Analysis2.0 (http://bliulab.net/BioSeq-Analysis2.0/), by which the users only need to upload the benchmark dataset, and the BioSeq-Analysis2.0 can generate the predictors for both residue-level analysis and sequence-level analysis tasks. Furthermore, the corresponding stand-alone tool was also provided, which can be downloaded from http://bliulab.net/BioSeq-Analysis2.0/download/. To the best of our knowledge, the BioSeq-Analysis2.0 is the first tool for generating predictors for biological sequence analysis tasks at residue level. Specifically, the experimental results indicated that the predictors developed by BioSeq-Analysis2.0 can achieve comparable or even better performance than the existing state-of-the-art predictors.
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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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Madson, Austin, and Yongwei Sheng. "Automated Water Level Monitoring at the Continental Scale from ICESat-2 Photons." Remote Sensing 13, no. 18 (September 11, 2021): 3631. http://dx.doi.org/10.3390/rs13183631.
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Of the approximately 6700 lakes and reservoirs larger than 1 km2 in the Contiguous United States (CONUS), only ~430 (~6%) are actively gaged by the United States Geological Survey (USGS) or their partners and are available for download through the National Water Information System database. Remote sensing analysis provides a means to fill in these data gaps in order to glean a better understanding of the spatiotemporal water level changes across the CONUS. This study takes advantage of two-plus years of NASA’s ICESat-2 (IS-2) ATLAS photon data (ATL03 products) in order to derive water level changes for ~6200 overlapping lakes and reservoirs (>1 km2) in the CONUS. Interactive visualizations of large spatial datasets are becoming more commonplace as data volumes for new Earth observing sensors have markedly increased in recent years. We present such a visualization created from an automated cluster computing workflow that utilizes tens of billions of ATLAS photons which derives water level changes for all of the overlapping lakes and reservoirs in the CONUS. Furthermore, users of this interactive website can download segmented and clustered IS-2 ATL03 photons for each individual waterbody so that they may run their own analysis. We examine ~19,000 IS-2 derived water level changes that are spatially and temporally coincident with water level changes from USGS gages and find high agreement with our results as compared to the in situ gage data. The mean squared error (MSE) and the mean absolute error (MAE) between these two products are 1 cm and 6 cm, respectively.
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Saw, Young Ern, Edina Yi-Qin Tan, Jessica Shijia Liu, and Jean CJ Liu. "Predicting Public Uptake of Digital Contact Tracing During the COVID-19 Pandemic: Results From a Nationwide Survey in Singapore." Journal of Medical Internet Research 23, no. 2 (February 3, 2021): e24730. http://dx.doi.org/10.2196/24730.
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Background During the COVID-19 pandemic, new digital solutions have been developed for infection control. In particular, contact tracing mobile apps provide a means for governments to manage both health and economic concerns. However, public reception of these apps is paramount to their success, and global uptake rates have been low. Objective In this study, we sought to identify the characteristics of individuals or factors potentially associated with voluntary downloads of a contact tracing mobile app in Singapore. Methods A cohort of 505 adults from the general community completed an online survey. As the primary outcome measure, participants were asked to indicate whether they had downloaded the contact tracing app TraceTogether introduced at the national level. The following were assessed as predictor variables: (1) participant demographics, (2) behavioral modifications on account of the pandemic, and (3) pandemic severity (the number of cases and lockdown status). Results Within our data set, the strongest predictor of the uptake of TraceTogether was the extent to which individuals had already adjusted their lifestyles because of the pandemic (z=13.56; P<.001). Network analyses revealed that uptake was most related to the following: using hand sanitizers, avoiding public transport, and preferring outdoor over indoor venues during the pandemic. However, demographic and situational characteristics were not significantly associated with app downloads. Conclusions Efforts to introduce contact tracing apps could capitalize on pandemic-related behavioral adjustments among individuals. Given that a large number of individuals is required to download contact tracing apps for contact tracing to be effective, further studies are required to understand how citizens respond to contact tracing apps. Trial Registration ClinicalTrials.gov NCT04468581, https://clinicaltrials.gov/ct2/show/NCT04468581
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McKenzie, Jordi, and W. David Walls. "File Sharing and Film Revenues: Estimates of Sales Displacement at the Box Office." B.E. Journal of Economic Analysis & Policy 16, no. 1 (January 1, 2016): 25–57. http://dx.doi.org/10.1515/bejeap-2015-0004.
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Abstract This study examines the impact of peer-to-peer (P2P) file sharing on the Australian theatrical film industry. Using a large data set of torrent downloads observed on three popular P2P networks, we find evidence of a sales displacement effect on box office revenues. However, although statistically significant, the economic significance of this displacement appears relatively small. To establish causality, we make use of the state-day-level panel data structure permitting the use of film fixed effects to help mitigate the endogeneity between film revenues and downloads. To further assist identification, we propose a downloading cost function that considers other states’ downloading activities as a proxy for the number of peers in the download swarm; the US DVD release date as a supply shock to P2P networks; and the substantial structural progression within the Australian internet service provision industry that occurred over the sample period. We observe that the release gap between the US and Australian markets is a key contributor to piracy early in a film’s theatrical life. This finding provides a partial explanation for the industry’s move towards coordinated worldwide releases.
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Lee, Yunjin, Mingyu Lim, and Yangchan Moon. "Application-level Communication Services for Development of Social Networking Systems." International Journal of Electrical and Computer Engineering (IJECE) 5, no. 3 (June 1, 2015): 586. http://dx.doi.org/10.11591/ijece.v5i3.pp586-598.
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In this paper, we present our communication middleware (CM), which is designed to reduce the effort of developing common communication functionalities for social networking services (SNSs) in the client-server model. SNS developers can apply the application-level communication services of CM both to an SNS server and to client applications simply by calling application programming interfaces (APIs) and configuring various options related to communication services. CM was developed to enable SNS developers to easily build fundamental services such as transmission of a user-defined event, user membership and authentication management, friend management, content upload and download with different numbers of attachments, chat management, and direct file transfer. All of the communication services also provide options that a developer can customize according to his or her SNS requirements.
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Ardö, Jonas. "A Sentinel-2 Dataset for Uganda." Data 6, no. 4 (March 30, 2021): 35. http://dx.doi.org/10.3390/data6040035.
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Earth observation data provide useful information for the monitoring and management of vegetation- and land-related resources. The Framework for Operational Radiometric Correction for Environmental monitoring (FORCE) was used to download, process and composite Sentinel-2 data from 2018–2020 for Uganda. Over 16,500 Sentinel-2 data granules were downloaded and processed from top of the atmosphere reflectance to bottom of the atmosphere reflectance and higher-level products, totalling > 9 TB of input data. The output data include the number of clear sky observations per year, the best available pixel composite per year and vegetation indices (mean of EVI and NDVI) per quarter. The study intention was to provide analysis-ready data for all of Uganda from Sentinel-2 at 10 m spatial resolution, allowing users to bypass some basic processing and, hence, facilitate environmental monitoring.
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Ganesan, S., and N. Thirunavukkarasu. "Comparison of Electronic Resources with their Usage Statistics in Dr.N.G.P. Institute of Technology: A Study." Indian Journal of Information Sources and Services 8, no. 2 (August 5, 2018): 65–67. http://dx.doi.org/10.51983/ijiss.2018.8.2.522.
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Technological advancements have made great amounts of information readily available in a digital format, thereby enabling faculty members to easily and remotely access information beyond the books and journals. Therefore, faculty members have reduced their visits to the library and employing information-searching and retrieval processes through the external sources. The service providers focused on journals and databases for variables such as full-text articles, searches and sessions. These usage statistics are important for the preferences of library users. This survey is helpful to learn about the level of effort involved with usage reports, how the data are used and which data are most useful to librarians in managing electronic resources. Two year data (2016 & 2017) of IEEE and Elsevier Science Direct access was downloaded from the publisher website and analyze the data of total number of logins and journal articles download. The study analyzed that the Elsevier Science Direct access is the mostly used online database compared with IEEE and also the number of articles downloaded from the Elsevier Science Direct is the highest one.
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Wieringa, Jeri. "Evaluating Digital Projects." Bulletin for the Study of Religion 50, no. 1 (August 12, 2021): 33–37. http://dx.doi.org/10.1558/bsor.20089.
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Digital humanities takes public scholarship to the next level. Whether looking for the best tools or learning about new developments within the field, “The Download” can help you refine your work in digital religious studies. Professor Jeri Wieringa (University of Alabama) provides insight into this new mode of scholarship by highlighting the challenges and nuances of online platforms.
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Qan’ir, Yousef, Anas Husam Khalifeh, Moawia Eid, Basmah Hammad, and Mohammad Al-Batran. "Mobile health apps use among Jordanian outpatients: A descriptive study." Health Informatics Journal 27, no. 2 (April 2021): 146045822110179. http://dx.doi.org/10.1177/14604582211017940.
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Our purpose in this descriptive cross-sectional study was to examine the prevalence of mobile health (mHealth) apps use, factors associated with downloading mHealth apps, and to describe characteristics of mHealth apps use among Jordanian patients in government-sponsored outpatient clinics. A total of 182 (41.6%) of the 438 outpatients who completed questionnaires downloaded mHealth apps. Common reasons for downloading mHealth apps included tracking physical activity, losing weight, learning exercises, as well as monitoring, and controlling diet. More than two thirds of the users (70%) stopped using the apps they downloaded due to loss of interest, lack of anticipated support, too time consuming, or better apps available. The most common personal reasons for never downloading mHealth apps were lack of interest, in good health, and the most common technical reasons included a limited data plan, lack of trust, cost, and complexity of the apps. We also found that gender, age, weight, and educational level influenced the decision whether to download mHealth apps or not. We have shown the potential in mHealth apps use among Jordanian patients is promising, and health care systems must adopt this technology as well as work through population needs and preferences to supply it.
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Huang, Guang-zhao, Ze-qun Chen, Juan Wu, Ting-ru Shao, Chen Zou, Yi-long Ai, and Xiao-zhi Lv. "Pan-Cancer Analyses of the Tumor Microenvironment Reveal That Ubiquitin-Conjugating Enzyme E2C Might Be a Potential Immunotherapy Target." Journal of Immunology Research 2021 (December 13, 2021): 1–27. http://dx.doi.org/10.1155/2021/9250207.
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Increasing evidence indicated that the tumor microenvironment (TME) played a crucial role in cancer initiation and progression. Ubiquitin-conjugating enzyme E2C (UBE2C) was differentially expressed in many cancer types. However, the immunological and prognostic roles of UBE2C were unclear. Differentially expressed genes (DEGs) of 29 cancer types were downloaded from GEPIA2 and 4 cancer types failed to download owing to no DEGs. Furthermore, the gene expression profiles, mutation data, and survival data of 33 cancer types were obtained from UCSC Xena. Clinical stage relevance, tumor mutational burden (TMB), TME relevance analysis, and gene set enrichment analysis (GSEA) of DEGs in 33 cancer types were performed. And DEGs were identified in oral squamous cell carcinoma (OSCC) by biological experiments. Previous studies indicated that UBE2C was related to the prognosis of many cancers. In our study, the higher UBE2C expression level meant a terminal clinical stage in 8 cancer types and the expression level of UBE2C was related to TMB in 20 cancer types. In addition, both immune relevance analysis and GSEA showed that UBE2C might participate in immune response in many cancers. Furthermore, the UBE2C mRNA level and protein level were all identified as upregulated in OSCC cell lines and tissues. UBE2C was differentially expressed in many cancer types and related to the pathogenesis and TME of many cancers, which might be a potential diagnostic and therapeutic biomarker.
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Lobov, Igor V., and Vladislav G. Gotman. "LOW LATENCY SEAMLESS LIVE TCP-STREAMING BY MEANS OF PROGRESSIVE DOWNLOAD METHOD." T-Comm 15, no. 1 (2021): 11–18. http://dx.doi.org/10.36724/2072-8735-2021-15-1-11-18.
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The article discusses the client-server technology for organizing seamless live TCP-streaming with the use of progressive download method. Main factors which have a major impact on the overall playback latency have been identified. A study on the most important factor – the size of the client’s receiving buffer Lbuf – was carried out. It was found that the hypothetical display time of the last frame taken consists of two components: 1) the general instability, which has the character of a pronounced “band of instability”, and 2) episodic “drawdowns” associated with spontaneous media flow retentions in data transmission channel.The result of these drawdowns is an increase in Lbuf, resulting in increased playback delay. The article proposes a method to reduce the client’s receive buffer latency downto acceptable level (100-300 ms), allowing two-way communication between clients – an algorithm for smooth correction of client receiving buffer size. The article includes the results of the smooth correction algorithm in the implementation of TCP-Streaming by means of progressive downloading method. The implementation is a distributed software package consisting of one or more encoding processes, retransmitting process, client-side software. The media-flow Encoders converts data from the media-data sources (camera, computer screen, microphone) and transmits them to the clients via Retransmitter. The client-side software is a set of web pages (HTML + JS) where the receive buffer smooth correction algorithm is implemented. It was concluded that live TCP-streaming by means of progressive download method is quite suited to organize the communication with low latency between clients.
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Sartika, Dewi, and Ricky Noor Permadi. "Pemanfaatan open access Jurnal Borneo Administrator melalui pengukuran kepuasan pembaca di Lembaga Administrasi Negara." Jurnal Kajian Informasi & Perpustakaan 8, no. 2 (December 30, 2020): 191. http://dx.doi.org/10.24198/jkip.v8i2.26448.
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Open Access Journal (OAJ) is a journal publication that contains articles in full text and user’s can be accessed and used free of charge. The purpose of this study was to determine the extent to which open access was used in the Borneo Administrator Journal (JBA) by measuring reader satisfaction. The research method used was a descriptive quantitative approach. The data collection used a survey method and a data analysis technique used a simple descriptive statistical method. This research has eight research questions, namely the level of user’s satisfaction with access and download facilities, Kemenristek/Dikti accreditation, language, benefit for the profession and career advancement, number of articles and columns, overall format and content, issued quarterly (3x a year), and services provided by JBA managers. The research data analysis has the three highest indicators were published every quarter (3x a year), the format and content as a whole, and were beneficial for professional and career advancement. The lowest score indicators but still in the satisfied category were download facilities, language, and the number of articles and columns. In conclusion, the overall level of reader satisfaction is in the satisfied category. The implementation of open access in the Borneo Administrator Journal is basically to support the development and dissemination of knowledge.
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Riky Sudrajat, Muhammad, Prima Dina Atika, and Herlawati . "Implementasi Support Vector Machine (SVM) dan Naïve Bayes untuk Analisis Sentimen Aplikasi KAI Access." Jurnal ICT : Information Communication & Technology 20, no. 2 (December 19, 2021): 254–59. http://dx.doi.org/10.36054/jict-ikmi.v20i2.403.
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Google Play Store is one of the platforms on Android to download an application, Google Play also provides a feature for the public to be able to provide comments/reviews of the downloaded application. Reviews of the application are in the form of perception, both positive and negative, a review of one of the applications on google play, namely the KAI access application, can be used as research material to find information. The technique that can be used for this research is sentiment analysis, the classification method that will be used for this sentiment analysis is the support vector machine and naive Bayes as a comparison to find better accuracy of the two algorithms, this research can help developers to find out the shortcomings and advantages that must be improved on the application. The results of the study using the Support Vector Machine (SVM) classification obtained an accuracy rate of 93% while using the Naïve Bayes method that was 89%. So, the Support Vector Machine method provides a higher level of accuracy than the Naïve Bayes method.
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Shetty, Chetankumar G. "Distance Learning Using ExperInn E-Learning System Through Web." International Journal of Web-Based Learning and Teaching Technologies 7, no. 2 (April 2012): 43–50. http://dx.doi.org/10.4018/jwltt.2012040104.
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This paper describes how ExperInn e-learning system can be applied to distance learning. The author describes how to use ExperInn e-learning system without any client side/learner side software. The learner does not need to download packages from the ExperInn e-learning service provider’s website. The goal of the proposed distance learning system is to increase Learners Level of Perception (LLP) by providing them with realistic audio-visual content. The proposed distance learning using ExperInn e-learning system consists of uploading scanned images of the textbook in ExperInn e-learning service provider’s website, database creation by experts, putting the images and augmented reality content on the database, and indicating when a particular text book is ready. For interactive learning, the proposed ExperInn e-learning system exploits the color-band markers, which are stuck to the tip of a finger. Here the ExperInn e-learning software will be installed on the cloud so that the learning need not download and install ExperInn e-learning software in his personal computer.
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Berriman, G. Bruce, Anastasia C. Laity, John C. Good, Daniel S. Katz, Joseph C. Jacob, Ewa Deelman, Gurmeet Singh, Mei-Hu Su, and Thomas A. Prince. "Science applications of the Montage image mosaic engine." Proceedings of the International Astronomical Union 2, no. 14 (August 2006): 621. http://dx.doi.org/10.1017/s1743921307012197.
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Montage is a portable, scaleable toolkit that runs on end-users desktops, clusters, and computing grids. It generates astronomical image mosaics that preserve the calibration and photometry in the input FITS files. The code is available for download at the project website at <http://montage.ipac.caltech.edu>, and includes independent modules for image discovery (including support for VO image access protocols), image reprojection, rectification of the sky background to a common level and image co-addition.
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Chu, Ying, Fan Chen, Hong Fu, and Hengyong Yu. "Haze Level Evaluation Using Dark and Bright Channel Prior Information." Atmosphere 13, no. 5 (April 24, 2022): 683. http://dx.doi.org/10.3390/atmos13050683.
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Haze level evaluation is highly desired in outdoor scene monitoring applications. However, there are relatively few approaches available in this area. In this paper, a novel haze level evaluation strategy for real-world outdoor scenes is presented. The idea is inspired by the utilization of dark and bright channel prior (DBCP) for haze removal. The change between hazy and haze-free scenes in bright channels could serve as a haze level indicator, and we have named it DBCP-I. The variation of contrast between dark and bright channels in a single hazy image also contains useful information to reflect haze level. By searching for a segmentation threshold, a metric called DBCP-II is proposed. Combining the strengths of the above two indicators, a hybrid metric named DBCP-III is constructed to achieve better performance. The experiment results on public, real-world benchmark datasets show the advantages of the proposed methods in terms of assessment accuracy with subjective human ratings. The study is first-of-its-kind with preliminary exploration in the field of haze level evaluation for real outdoor scenes, and it has a great potential to promote research in autonomous driving and automatic air quality monitoring. The open-source codes of the proposed algorithms are free to download.
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Emiola, Akintunde, Wei Zhou, and Julia Oh. "Metagenomic growth rate inferences of strains in situ." Science Advances 6, no. 17 (April 2020): eaaz2299. http://dx.doi.org/10.1126/sciadv.aaz2299.
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We developed a method for strain-level metagenomic estimation of growth rate (SMEG) for inferring growth rates of bacterial subspecies, or strains, from complex metagenomic samples. We applied our method, which is based on both reference strains and de novo approaches, to different gut metagenomic datasets, accurately identifying an outbreak-associated Escherichia coli strain and a previously unidentified association of an Akkermansia muciniphila strain in cancer immunotherapy responders. SMEG resolves strain-specific growth rates from mixtures of commensal or pathogenic strains to provide new insights into microbial interactions and disease associations at the strain level. SMEG is available for download at https://github.com/ohlab/SMEG.
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Knight, P., J. Cook, and H. Azzam. "Intelligent Management of Helicopter Health and Usage Management Systems Data." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 219, no. 6 (June 1, 2005): 507–24. http://dx.doi.org/10.1243/095441005x33402.
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Helicopter health and usage management systems (HUMS) generate large amounts of data, which are downloaded to ground-based systems. The data are automatically examined on download for damage indications, which provide the immediate go/no-go response required by the aircraft operations management. This level of reactive fault detection and diagnosis is reasonably well understood and has been demonstrated to improve aircraft availability and airworthiness. To achieve further benefit and maintenance cost savings from HUMS, another level of analysis is required, leading to prognostics and predictive maintenance through intelligent management (IM) of the accumulated HUMS records. In collaboration with the Civil Aviation Authority (CAA), Smiths has developed a suite of IM methods and has successfully applied them to gearbox seeded fault data. Working closely with the UK Ministry of Defence (UK MOD), Smiths has tested these methods on Chinook HUMS data, including an in-flight transmission bearing failure incident described in this article. The result is a high degree of early anomaly detection and a clear view of the deterioration to failure. The objective of the MOD programme has been to apply IM tools to the enormous quantity of HUMS data being gathered, thereby enabling improved analysis capability, increased levels of automation, and more intelligent use of resources. The article presents the results of the work carried out under both the CAA and the MOD programmes.
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Sari, Ira Puspita, and Sukri Sukri. "Analisis Penerapan Metode Antrian Hirarchical Token Bucket untuk Management Bandwidth Jaringan Internet." Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) 2, no. 2 (June 30, 2018): 522–29. http://dx.doi.org/10.29207/resti.v2i2.458.
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Internet is one of the needs of the community, especially among education and academics such as universities. The high level of internet users is not comparable with the facilities owned by an agency, this makes the internet network manager in Higher Education feel difficult. The cause of the problem that is always a problem is the speed and internet connection is always disjointed, resulting in the slow loading process data while browsing, both at the time of download and at the time of upload. To make internet users in campus area balanced and stable then need bandwidth management based on traffic usage of internet path better. Bandwidth management that can stabilize traffic lanes and equal bandwidth distribution, it can use bandwidth management by Hierarchical Token Bucket (HTB) method. The calculation result in HTB method testing through file download, the average value obtained by TIPHON category standard for throughtput value index is 2 with "Medium" category, delay parameter index is 4 with "Very Good" category, jitter parameter index is 3 with the "Good" category and the packet loss parameter index is 4 with the "Very Good" category.
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Abu-Dalbouh, Hussain Mohammad, Fahad Almansour, and Nehal Aldowighri. "Game Playing: Proposing and Developing Queen Challenge Puzzle Game from 1 to 25 Levels." Computer and Information Science 14, no. 2 (April 13, 2021): 87. http://dx.doi.org/10.5539/cis.v14n2p87.
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In recent decades, massive improvements in graphic sophistication have begun to produce declining returns. The creative focus in game development has shifted to artificial intelligence. The queens’ task game is part of a sequence of popular games. It is the challenge of putting n chess queens on a game board such that no two queens are threatening each other. The plan does not involve two queens sharing the same row, column or diagonal. Each column contains exactly one queen, each row contains exactly one queen, and each diagonal contains exactly one queen. For every level in the game, there are many ways to solve it. For example, there are 92 solutions to the 8×8 problem. There are many levels in the literature, but each level should be downloaded separately. Thus, it causes a lot of difficulties for players, and they should download each level to complete the challenge. This will lead to more time and effort being spent by the players, and the cost of each level will cost the players more and more. As a result, the number of players who want to play this game will decrease. The aim of this paper is to incorporate a number of levels in order to save time, money and effort by downloading each level separately. This paper also aims to develop the proposed prototype and display all the solutions while playing a puzzle game at any level. The proposed game was tested by a questionnaire-based empirical study. Descriptive statistics on the questions revealed that the players had achieved the objectives of the game by applying their skills and knowledge and that the players had positive emotions about the effectiveness of the proposed game.
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Wang, Peng, Shu-Tao Huang, Ju Wang, Yong-An Zhao, Min Gao, Lun Wu, and Heng Cai. "Development of geo-information data management system and application to geological disposal of high-level radioactive waste in China." Nuclear Technology and Radiation Protection 32, no. 3 (2017): 294–301. http://dx.doi.org/10.2298/ntrp1703294w.
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In this paper, based on information technology, a geo-information database was established and a geo-information data management system (named as HLW-GIS) was developed to facilitate data management work of the multi-source and multidisciplinary data been which are generated during site selection process of geological repository in China. Many important functions, such as basic create, retrieve, update, and delete operations, full text search and download functions, can be achieved through this management system. Even the function of statistics and analysis for certain professional data can be provided. Finally, a few hundred gigabytes of data from numerous different disciplines were integrated, stored, and managed successfully. Meanwhile, the management system can also provide a significant reference for data management work of related research fields, such as decommissioning and management of nuclear facilities, resource prospection and environmental protection.
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Türei, Dénes, Diána Papp, Dávid Fazekas, László Földvári-Nagy, Dezső Módos, Katalin Lenti, Péter Csermely, and Tamás Korcsmáros. "NRF2-ome: An Integrated Web Resource to Discover Protein Interaction and Regulatory Networks of NRF2." Oxidative Medicine and Cellular Longevity 2013 (2013): 1–9. http://dx.doi.org/10.1155/2013/737591.
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NRF2 is the master transcriptional regulator of oxidative and xenobiotic stress responses. NRF2 has important roles in carcinogenesis, inflammation, and neurodegenerative diseases. We developed an online resource, NRF2-ome, to provide an integrated and systems-level database for NRF2. The database contains manually curated and predicted interactions of NRF2 as well as data from external interaction databases. We integrated NRF2 interactome with NRF2 target genes, NRF2 regulating TFs, and miRNAs. We connected NRF2-ome to signaling pathways to allow mapping upstream NRF2 regulatory components that could directly or indirectly influence NRF2 activity totaling 35,967 protein-protein and signaling interactions. The user-friendly website allows researchers without computational background to search, browse, and download the database. The database can be downloaded in SQL, CSV, BioPAX, SBML, PSI-MI, and in a Cytoscape CYS file formats. We illustrated the applicability of the website by suggesting a posttranscriptional negative feedback of NRF2 by MAFG protein and raised the possibility of a connection between NRF2 and the JAK/STAT pathway through STAT1 and STAT3. NRF2-ome can also be used as an evaluation tool to help researchers and drug developers to understand the hidden regulatory mechanisms in the complex network of NRF2.
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Shareef, Mohammad Esam, and Dheyaa Ghanim Abdulrazzaq. "River Flood Modelling For Flooding Risk Mitigation in Iraq." Civil Engineering Journal 7, no. 10 (October 1, 2021): 1702–15. http://dx.doi.org/10.28991/cej-2021-03091754.
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River flood events have recently been increased due to many reasons such as climate change and excessive land usage. Thus, one of the greatest challenges is to control the flooding in urban areas. River flooding has become a phenomenon worldwide in general and in Iraq specifically. This is associated with the rapid increase of urbanization as well as mismanagement of land utilization; especially those located near the river banks, in addition to lack of consideration in terms of the design and implementation of drainage networks. In Iraq and especially in Al-Anbar governorate, studies in the field of flood simulation control have been rare. This study aims to suggest a fast and accurate methodology for local authorities, by providing a proposed solution and prediction of flooding area in the case study of the Fallujah barrage. Global Mapper software has been used to produce simulation photos on flooding area. Earth Explorer USGS website has been used to download water body data; and Global Digital Surface website has been used to extract and download the surface elevation data. The result of the simulation photos has predicted valuable information about the flooding area and proposed a general vision on the areas that are under threat of flooding. Four main areas were exposed to flooding, area 1, area 2, area 3, and area 4; A total flooding area of 11.89 km2. The total maximum operational level for the barrage was designed to be 44.79 m above sea level. Also, the recommended maximum operation level for the barrage was 43 m ASL. Doi: 10.28991/cej-2021-03091754 Full Text: PDF
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Chen, Hong Zhou, and Jing Fu Huang. "Analytic Network Process Decision-Making to Downloadable Content System." Applied Mechanics and Materials 284-287 (January 2013): 3352–56. http://dx.doi.org/10.4028/www.scientific.net/amm.284-287.3352.
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The worsening impact of piracy in recent years, downloadable content system is the current trend to against Piracy. The main purpose of the study download content elements, can effectively provide attractive of content, the downloadable content to enter a more competitive edge. Its elements of the downloadable content will be different. This study places the focus on the use of network-level analysis (ANP) decision support tools, different elements of the downloadable content systems effectiveness in the fight against piracy analysis of case studies. The combination of network-level analysis-based approach, this paper can provide game publishers with the method of downloadable content production, realistic, and accurately in the selection of downloadable content system.
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Cui, Xinyu, and Guifen Chen. "Research on Distributed In-Vehicle Wireless Self-Organized Routing Protocol Distribution Mechanism." Journal of Sensors 2021 (October 13, 2021): 1–10. http://dx.doi.org/10.1155/2021/8343536.
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In recent years, the application of intelligent transportation systems has gradually made the transportation industry safe, efficient, and environmentally friendly and has led to a broader research prospect of vehicle wireless communication technology. Distributed vehicular self-organizing networks are mobile self-organizing networks in realistic traffic situations. Data interaction and transmission between nodes are achieved through the establishment of a vehicular self-organizing network. In this paper, a multipath routing protocol considering path stability and load balancing is proposed to address the shortcomings of existing distributed vehicular wireless self-organizing routing protocols. This protocol establishes three loop-free paths in the route discovery phase and uses the path stability parameter and load level parameter together to measure the total transmission cost. The one with the lowest total transmission cost is selected as the highest priority path for data transmission in the route selection phase, and the other two are used as alternate paths, and when the primary path breaks, the higher priority of the remaining path will continue to transmit data as the primary route. In this paper, to improve the content distribution performance of target vehicles in scenarios where communication blind zones exist between adjacent roadside units, an assisted download distribution mechanism for video-like large file content is designed in the V2V and V2I cooperative communication regime. That is, considering a two-way lane scenario, we use the same direction driving vehicles to build clusters, reverse driving vehicles to carry prefetched data, and build clusters to forward prefetched data to improve the data download volume of target vehicles in nonhot scenarios such as highways with the sparse deployment of roadside units, to meet the data volume download demand of in-vehicle users for large files and give guidance for efficient distribution of large file content in highway scenarios.
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Cui, Xinyu, and Guifen Chen. "Research on Distributed In-Vehicle Wireless Self-Organized Routing Protocol Distribution Mechanism." Journal of Sensors 2021 (October 13, 2021): 1–10. http://dx.doi.org/10.1155/2021/8343536.
Full textAbstract:
In recent years, the application of intelligent transportation systems has gradually made the transportation industry safe, efficient, and environmentally friendly and has led to a broader research prospect of vehicle wireless communication technology. Distributed vehicular self-organizing networks are mobile self-organizing networks in realistic traffic situations. Data interaction and transmission between nodes are achieved through the establishment of a vehicular self-organizing network. In this paper, a multipath routing protocol considering path stability and load balancing is proposed to address the shortcomings of existing distributed vehicular wireless self-organizing routing protocols. This protocol establishes three loop-free paths in the route discovery phase and uses the path stability parameter and load level parameter together to measure the total transmission cost. The one with the lowest total transmission cost is selected as the highest priority path for data transmission in the route selection phase, and the other two are used as alternate paths, and when the primary path breaks, the higher priority of the remaining path will continue to transmit data as the primary route. In this paper, to improve the content distribution performance of target vehicles in scenarios where communication blind zones exist between adjacent roadside units, an assisted download distribution mechanism for video-like large file content is designed in the V2V and V2I cooperative communication regime. That is, considering a two-way lane scenario, we use the same direction driving vehicles to build clusters, reverse driving vehicles to carry prefetched data, and build clusters to forward prefetched data to improve the data download volume of target vehicles in nonhot scenarios such as highways with the sparse deployment of roadside units, to meet the data volume download demand of in-vehicle users for large files and give guidance for efficient distribution of large file content in highway scenarios.
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Jaradat, Ayman, Ahmed Patel, M. Zakaria, and Muhamad Amina. "Accessibility algorithm based on site availability to enhance replica selection in a data grid environment." Computer Science and Information Systems 10, no. 1 (2013): 105–32. http://dx.doi.org/10.2298/csis120102041j.
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A data grid functions as a scalable base for grid services to manage data files and their scattered replicas around the world. The principal objective of grid services is to support various data grid applications (jobs) as well as projects. Replica selection is an essential high-level service that selects a Grid location which verifies the shortest response time for the users' jobs among numerous different locations. In the grid environment, estimating response time precisely is not a simple task. Existing replica selection algorithms consume high response time to retrieve replicas because of miss-estimating replicas transfer times. This paper proposes a novel replica selection algorithm that considers site availability in addition to data transfer time. Site availability has not been addressed in previous efforts in the same context this paper does. Site availability is a new factor that can be utilized to estimate response time more accurately. Selecting an unavailable site or selecting a site with insufficient time will likely lead to disconnection. This in turn will require shifting to another site to resume the download or to start the download from scratch depending on the fault tolerance mechanism. Simulation results demonstrate that the performance of the new algorithm is proved to be better than the existing algorithms mentioned in literature.
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Al-Jarf, Reima. "Specialized Dictionary Mobile Apps for Students Learning English for Engineering, Business and Computer Science." Journal of Humanities and Education Development 4, no. 1 (2022): 01–09. http://dx.doi.org/10.22161/jhed.4.1.1.
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Use of dictionaries is an integral part of language learning and teaching. With the availability of smartphones, EFL, ESL and ESP students can access and download a variety of specialized mobile dictionaries Apps (MDAs). Specialized MDAs are of special importance for students learning English for engineering, business, and computer science purposes. They contain thousands of essential specialize technical terms covering several sub-categories within the engineering, business and computer science fields. They are a good tool for enriching the students’ specialized vocabulary and helping them learn faster and remember more in a shorter time. This article aims to show ESP instructors examples of engineering, computer science and business MDAs available in the Google Play or Apple Stores; how specialized MDAs can be located; criteria for selecting specialized MDAs; the lexicographical features of specialized MDA and instructional stages with MDAs. Instruction with MDAs goes through three stages: pre-task, task, and post-task phases. The instructor serves as a facilitator. She can help students find and download MDAs that meet their needs and purposes and match their proficiency level; gives pre-questions; and follows the students up to make sure they are making the best use of MDAs. The article concludes with some recommendations for ESP pedagogy with MDAs.
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James, Peter, Claudia Trudel-Fitzgerald, Harold H. Lee, Hayami K. Koga, Laura D. Kubzansky, and Francine Grodstein. "Linking Individual-Level Facebook Posts With Psychological and Health Data in an Epidemiological Cohort: Feasibility Study." JMIR Formative Research 6, no. 4 (April 7, 2022): e32423. http://dx.doi.org/10.2196/32423.
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Background Psychological factors (eg, depression) and related biological and behavioral responses are associated with numerous physical health outcomes. Most research in this area relies on self-reported assessments of psychological factors, which are difficult to scale because they may be expensive and time-consuming. Investigators are increasingly interested in using social media as a novel and convenient platform for obtaining information rapidly in large populations. Objective We evaluated the feasibility of obtaining Facebook data from a large ongoing cohort study of midlife and older women, which may be used to assess psychological functioning efficiently with low cost. Methods This study was conducted with participants in the Nurses’ Health Study II (NHSII), which was initiated in 1989 with biennial follow-ups. Facebook does not share data readily; therefore, we developed procedures to enable women to download and transfer their Facebook data to cohort servers (for linkage with other study data they have provided). Since privacy is a critical concern when collecting individual-level data, we partnered with a third-party software developer, Digi.me, to enable participants to obtain their own Facebook data and to send it securely to our research team. In 2020, we invited a subset of the 18,519 NHSII participants (aged 56-73 years) via email to participate. Women were selected if they reported on the 2017-2018 questionnaire that they regularly posted on Facebook and were still active cohort participants. We included an exit survey for those who chose not to participate in order to gauge the reasons for nonparticipation. Results We invited 309 women to participate. Few women signed the consent form (n=52), and only 3 used the Digi.me app to download and transfer their Facebook data. This low participation rate was observed despite modifying our protocol between waves of recruitment, including by (1) excluding active health care workers, who might be less available to participate due to the pandemic, (2) developing a Frequently Asked Questions factsheet to provide more information regarding the protocol, and (3) simplifying the instructions for using the Digi.me app. On our exit survey, the reasons most commonly reported for not participating were concerns regarding data privacy and hesitation sharing personal Facebook posts. The low participation rate suggests that obtaining individual-level Facebook data in a cohort of middle-aged and older women may be challenging. Conclusions In this cohort of midlife and older women who were actively participating for over three decades, we were largely unable to obtain permission to access individual-level data from participants’ Facebook accounts. Despite working with a third-party developer to customize an app to implement safeguards for privacy, data privacy remained a key concern in these women. Future studies aiming to leverage individual-level social media data should explore alternate populations or means of sharing social media data.
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Blower, J. D., K. Haines, A. Santokhee, and C. L. Liu. "GODIVA2: interactive visualization of environmental data on the Web." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 367, no. 1890 (December 16, 2008): 1035–39. http://dx.doi.org/10.1098/rsta.2008.0180.
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GODIVA2 is a dynamic website that provides visual access to several terabytes of physically distributed, four-dimensional environmental data. It allows users to explore large datasets interactively without the need to install new software or download and understand complex data. Through the use of open international standards, GODIVA2 maintains a high level of interoperability with third-party systems, allowing diverse datasets to be mutually compared. Scientists can use the system to search for features in large datasets and to diagnose the output from numerical simulations and data processing algorithms. Data providers around Europe have adopted GODIVA2 as an INSPIRE-compliant dynamic quick-view system for providing visual access to their data.
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Liu, Qian, and Dan Wu. "FPGA Auto Configuration Based on ATE." Applied Mechanics and Materials 121-126 (October 2011): 3310–14. http://dx.doi.org/10.4028/www.scientific.net/amm.121-126.3310.
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FPGAs (Field Programmable Gate Arrays) are highly integrated devices which can be programmed as variable functions. The application-level testing of FPGAs usually include multiple reconfigurations and relevant functional tests respectively through ATEs (Automated Test Equipments). However, test engineers are facing a tough problem to reconfigure FPGAs automatically through an ATE instead of using specific tools and download cables provided by FPGAs manufacturers. This paper takes example for XILINX Virtex-E series, presents two different methods for FPGA auto configuration based on an ATE using JTAG configuration interface and boundary-scan protocol, and accomplishes the entire auto configuration-test procedure by a single ATE.
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Ancien, François, Fabrizio Pucci, and Marianne Rooman. "In Silico Analysis of the Molecular-Level Impact of SMPD1 Variants on Niemann-Pick Disease Severity." International Journal of Molecular Sciences 22, no. 9 (April 26, 2021): 4516. http://dx.doi.org/10.3390/ijms22094516.
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Sphingomyelin phosphodiesterase (SMPD1) is a key enzyme in the sphingolipid metabolism. Genetic SMPD1 variants have been related to the Niemann-Pick lysosomal storage disorder, which has different degrees of phenotypic severity ranging from severe symptomatology involving the central nervous system (type A) to milder ones (type B). They have also been linked to neurodegenerative disorders such as Parkinson and Alzheimer. In this paper, we leveraged structural, evolutionary and stability information on SMPD1 to predict and analyze the impact of variants at the molecular level. We developed the SMPD1-ZooM algorithm, which is able to predict with good accuracy whether variants cause Niemann-Pick disease and its phenotypic severity; the predictor is freely available for download. We performed a large-scale analysis of all possible SMPD1 variants, which led us to identify protein regions that are either robust or fragile with respect to amino acid variations, and show the importance of aromatic-involving interactions in SMPD1 function and stability. Our study also revealed a good correlation between SMPD1-ZooM scores and in vitro loss of SMPD1 activity. The understanding of the molecular effects of SMPD1 variants is of crucial importance to improve genetic screening of SMPD1-related disorders and to develop personalized treatments that restore SMPD1 functionality.
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Schumacher, Ines, and Ingrid Zechmeister. "ASSESSING THE IMPACT OF HEALTH TECHNOLOGY ASSESSMENT ON THE AUSTRIAN HEALTHCARE SYSTEM." International Journal of Technology Assessment in Health Care 29, no. 1 (December 11, 2012): 84–91. http://dx.doi.org/10.1017/s0266462312000748.
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Objectives: In Austria, research in health technology assessment (HTA) has been conducted since the 1990s. The aim of this study is to analyze whether the HTA research program of the Institute of Technology Assessment (ITA) and the Ludwig Boltzmann Institute for HTA (LBI-HTA) have had an impact on the Austrian healthcare system.Methods: We applied qualitative and quantitative empirical research methods, such as interviewing, download analysis, questionnaire, retrospective routine data analysis, and media analysis. Data were analyzed according to a conceptual framework, considering seven impact categories (awareness, acceptance, process, decision, practice, final outcomes, enlightenment) and different target groups.Results: A rising number of downloads and single HTA reports with high media interest were identified. Interviews showed that HTA reports have increasingly been used for investment and reimbursement decisions, as well as for the preparation of negotiations. Economic impact was indicated by decreased expenditures due to HTA recommendations. Overall, knowledge about evidence-based medicine increased and, in places, an “HTA culture” can be recognized. Yet, several decision-making processes occur at all levels without the use of HTA.Conclusions: The analysis demonstrated an impact within all predefined categories; however, it depends on the system level and its target groups. HTA reports are primarily used by hospital management, (social) insurances, and the Austrian Ministry of Health. Nevertheless, there is still potential to increase the impact of HTA. Therefore, the inclusion of HTA in decision-making processes in Austria needs to move from a voluntary basis to a mandatory one.
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Dhawanjewar, Abhilesh S., Ankit A. Roy, and Mallur S. Madhusudhan. "A knowledge-based scoring function to assess quaternary associations of proteins." Bioinformatics 36, no. 12 (April 4, 2020): 3739–48. http://dx.doi.org/10.1093/bioinformatics/btaa207.
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Abstract Motivation The elucidation of all inter-protein interactions would significantly enhance our knowledge of cellular processes at a molecular level. Given the enormity of the problem, the expenses and limitations of experimental methods, it is imperative that this problem is tackled computationally. In silico predictions of protein interactions entail sampling different conformations of the purported complex and then scoring these to assess for interaction viability. In this study, we have devised a new scheme for scoring protein–protein interactions. Results Our method, PIZSA (Protein Interaction Z-Score Assessment), is a binary classification scheme for identification of native protein quaternary assemblies (binders/nonbinders) based on statistical potentials. The scoring scheme incorporates residue–residue contact preference on the interface with per residue-pair atomic contributions and accounts for clashes. PIZSA can accurately discriminate between native and non-native structural conformations from protein docking experiments and outperform other contact-based potential scoring functions. The method has been extensively benchmarked and is among the top 6 methods, outperforming 31 other statistical, physics based and machine learning scoring schemes. The PIZSA potentials can also distinguish crystallization artifacts from biological interactions. Availability and implementation PIZSA is implemented as a web server at http://cospi.iiserpune.ac.in/pizsa and can be downloaded as a standalone package from http://cospi.iiserpune.ac.in/pizsa/Download/Download.html. Supplementary information Supplementary data are available at Bioinformatics online.
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Rachmawanto, Eko Hari, Christy Atika Sari, and Rizky Putra Pradana. "DWT-SVD Combination Method for Copyrights Protection." Scientific Journal of Informatics 7, no. 1 (May 31, 2020): 113–24. http://dx.doi.org/10.15294/sji.v7i1.21050.
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Many irresponsible people who download other people's artwork then modify and redistribute the work of someone without permission by not including the owner's name. Based on that problem an attempt was made to provide an invisible watermark so as not to be easy to do the watermark removal process on the artwork, using a 2-level DWT and SVD combination method that can embed watermarks invisibly and increase watermarking resistance to the image from various image manipulation processes such as noise, JPEG compression, and so on. From combination method of DWT-SVD got the highest PSNR value with watermark image size 32x32 and 64x64 which is 59.2656 dB and 54.7414 dB, respectively.
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Barthels, Fabian, Ulrich Barthels, Marvin Schwickert, and Tanja Schirmeister. "FINDUS: An Open-Source 3D Printable Liquid-Handling Workstation for Laboratory Automation in Life Sciences." SLAS TECHNOLOGY: Translating Life Sciences Innovation 25, no. 2 (September 20, 2019): 190–99. http://dx.doi.org/10.1177/2472630319877374.
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3D-printed laboratory devices can enable ambitious research purposes even at a low-budget level. To follow this trend, here we describe the construction, calibration, and usage of the FINDUS (Fully Integrable Noncommercial Dispensing Utility System). We report the successful 3D printing and assembly of a liquid-handling workstation for less than $400. Using this setup, we achieve reliable and flexible liquid-dispensing automation with relative pipetting errors of less than 0.3%. We show our system is well suited for several showcase applications from both the biology and chemistry fields. In support of the open-source spirit, we make all 3D models, assembly instructions, and source code available for free download, rebuild, and modification.
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Semwanga, Agnes Rwashana, and Evelyn Kigozi Kahiigi. "Assessing the Quality of E-Government Websites in Uganda." International Journal of ICT Research in Africa and the Middle East 10, no. 1 (January 2021): 42–56. http://dx.doi.org/10.4018/ijictrame.2021010104.
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Governments are increasingly using web-based portals to provide information and cost-effective service delivery. While some e-government websites have delivered the intended goal, others are still struggling. This study assessed the quality of the e-government websites using a three-step investigation methodology. Firstly, the quality attributes were generated from literature, then a conceptual framework for e-government websites with four quality dimensions was developed, and lastly, an observation instrument was used to measure the quality attributes of 78 Uganda e-government websites. Most of the websites scored highly on the level of authority, relevance, quality of text, organization of the website, and time to download. The level of attractiveness, content accuracy, objectivity, currency of information, use of multimedia, and multi-language required significant improvements while the use of social media and evidence of security and privacy of the information was hardly visible. A framework is proposed to improve the quality of e-government websites.
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V., Vinay K., and Vishal K. "SMARTPHONE APPLICATIONS FOR MEDICAL STUDENTS AND PROFESSIONALS." Journal of Health and Allied Sciences NU 03, no. 01 (March 2013): 59–62. http://dx.doi.org/10.1055/s-0040-1703635.
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AbstractMobile phones have been widely used for several decades, but the smartphones are a more recent advance. The latest generation of smartphones are increasingly viewed as handheld computers rather than as just phones, due to their powerful on-board computing capability and open operating systems that encourage application download and development. In a relatively short period of time, smartphone technology has penetrated significantly into society from school children to senior citizens. The level of smartphone usage by medical students and professionals is increasing day by day with the extensive availability of downloadable medical applications related to medical education and health. This article mentions about the useful and popular smartphone applications for medical students and practitioners which helps to integrate technology into clinical practice.
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Al-Jarf, Reima. "Enhancing EFL Students' Reading and Appreciation Skills with Mobile Fiction Apps." International Journal of Linguistics Studies 2, no. 2 (April 18, 2022): 15–23. http://dx.doi.org/10.32996/ijls.2022.2.2.3.
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The present study proposes the integration of mobile fiction Apps (MFAs) in reading instruction to help EFL college students understand the form and content of literary works. It will give examples of fiction Apps that can be downloaded from the Google Play and iPhone App Stores, give the advantages of using MFAs, literary appreciation skills that can be developed with MFAs and instructional stages with MFAs. MFAs can be used as extension activities or as a supplement to in-class reading instruction in ESL/EFL. They are free, easy, and quick to download, update and delete, can be used anywhere, anytime and as many times as the students need. Instruction with smart mobile phones begins with downloading an MFA such as Harry Potter, Oliver Twist, Sherlock Holmes, Wuthering Heights, a novel by Agatha Christi or a collection of stories. Both simplified and original versions can be used depending on the student’s proficiency level, story/novel length and difficulty level. A story/novel video, app or e-book can be used online or offline. Some MFAs provide notes and tests. The instructor can ask pre-questions that require the students to identify the plot, setting, characters, main theme, point of view, symbolism, style, and tone of the narrative, and infer the meanings of figurative language and imagery in the story. Questions and students’ answers, summaries, comments on each other's' responses can be posted in an online discussion forum, blog or social media page. The students can discuss the elements of a literary work under the instructor's supervision. The integration of fiction Apps showed improved reading comprehension, literary appreciation and text analysis skills among participating students and increased their engagement in reading and literary analysis.
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Iklima, Zendi. "Rancang Bangun Prototipe Sistem Kendali Terdistribusi Instalasi Penerangan pada Gedung 3 Lantai berbasis IoTaaS (Internet of Things as a Service) menggunakan Docker Container." Jurnal Teknologi Elektro 10, no. 1 (December 7, 2019): 26. http://dx.doi.org/10.22441/jte.v10i1.004.
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Berkembangnya Cloud Computing dan Internet of Things (IoT) mengubah cara memahami suatu infomasi dan sistem komunikasi untuk saling berhubungan menggunakan suatu infrastruktur cloud jarak jauh. Lain dari itu, skalabilitas sistem sering difokuskan dalam low-level architecture. Sistem kendali terdistribusi dapat saling terhubung pada suatu platform IoTaaS (Internet of Things as a Service). IoTaaS divirtualisasi dengan basis kontainer (container-based) guna meningkatkan layanan IoT Cloud atau IoT Microservice. IoTaaS dikembangkan pada Docker Container dimana telah layak diaplikasikan pada nodes/gateway misalnya payment gateway, fog, microservices dan lain-lain. Maka dari itu pengembangan IoTaaS telah berhasil diaplikasikan pada sistem instalasi penerangan untuk gedung perkantoran 3 lantai. Sehingga didapatkan nilai rata-rata Network I/O sebesar 14.02KB/4.59KB (download/upload) sehingga memungkinkan tiap container mengirimkan data sebesar 118.77 B dalam 7.02 milisecond.
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Marzuki, Khairan, Apriani ,, and Lalu Zazuli Azhar mardedi. "EVALUASI PENERAPAN TEKNOLOGI INFORMASI E-LEARNING PADA KAMPUS SWASTA MENGGUNAKAN COBIT 4.1 (STUDY KASUS PRODI ILKOM UNIVERSITAS BUMIGORA)." Jurnal Bumigora Information Technology (BITe) 1, no. 2 (December 31, 2019): 161–66. http://dx.doi.org/10.30812/bite.v1i2.598.
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An online learning system (e-learning) at private tertiary institutions is built to facilitate lecturers and students in the teaching and learning process. Through the e-learning learning information system students can download course material, send assignments, work on daily and semester exam questions, find out the value of assignments and examinations. Bumigora University has been implementing e-learning since 2017. Thus to determine the usefulness and feasibility of applying the application must be evaluated in accordance with the vision and mission of the institution. In this study the evaluation of the application of e-learning will use the COBIT 4.1 framework with the domain monitoring evaluation. The results of this study determine the level of maturity of the application of e-learning applications today (as-is) and the expected maturity (to-be).
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HUDSON KAM, CARLA L., and LISA MATTHEWSON. "Introducing the Infant Bookreading Database (IBDb)." Journal of Child Language 44, no. 6 (November 2, 2016): 1289–308. http://dx.doi.org/10.1017/s0305000916000490.
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AbstractStudies on the relationship between bookreading and language development typically lack data about which books are actually read to children. This paper reports on an Internet survey designed to address this data gap. The resulting dataset (the Infant Bookreading Database or IBDb) includes responses from 1,107 caregivers of children aged 0–36 months who answered questions about the English-language books they most commonly read to their children. The inclusion of demographic information enables analysis of subsets of data based on age, sex, or caregivers’ education level. A comparison between our dataset and those used in previous analyses reveals that there is relatively little overlap between booklists gathered from proxies such as bestseller lists and the books caregivers reported reading to children in our survey. The IBDb is available for download for use by researchers at <http://linguistics.ubc.ca/ubc-ibdb/>.
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Tang, Min, Peiqing Liu, Xiaoke Wu, Jie Gong, Jiacheng Weng, Guangyu Gao, Yulong Liu, and Lei Gan. "COL3A1 and Its Related Molecules as Potential Biomarkers in the Development of Human Ewing’s Sarcoma." BioMed Research International 2021 (December 22, 2021): 1–12. http://dx.doi.org/10.1155/2021/7453500.
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Background. Ewing’s sarcoma (ES) is the most common malignant primary bone tumor in children and adolescents. This study is aimed at developing new prognostic markers and building a microRNA-mRNA network in the development of ES. Method. GSE80201 and GSE39262 were downloaded from the Gene Expression Omnibus (GEO) database. Bioinformatics analysis was used to download and process data. The coexpression of differentially expressed microRNAs (DEMs) and genes (DEGs) was selected by using R software. The FunRich database was utilized to perform cellular component (CC), molecular function (MF), and biological process (BP) enrichment analysis. Cytoscape and ClueGO were used to perform Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis and construct the mRNA-microRNA network. The Kaplan-Meier Plotter was used to perform prognosis analysis between the expression level of genes we selected and overall survival (OS) of patients with ES. Univariate analysis and multivariate analysis were carried out to research the prognostic value of identified mRNA expression in ES according to TCGA database. Results. By using bioinformatics analysis, 10 DEMs and 5 target mRNAs were identified. Based on the KmPlot software, COL1A2, COL3A1, and TGFBI were significantly related to the OS of patients with ES. High COL3A1 mRNA expression was correlated with distant metastasis, margin status, and poor overall survival of ES. Besides, multivariate analysis indicated that COL3A1 was an independent risk factor for ES patients. Conclusions. In conclusion, our results suggest that COL3A1 and its related molecules may be a potential diagnostic and prognostic biomarker for patients with ES.