Articles de revues : « Databases and database Networking »

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Burghardt, Kyle J., Bradley H. Howlett, Audrey S. Khoury, Stephanie M. Fern et Paul R. Burghardt. « Three Commonly Utilized Scholarly Databases and a Social Network Site Provide Different, But Related, Metrics of Pharmacy Faculty Publication ». Publications 8, n^o 2 (1 avril 2020) : 18. http://dx.doi.org/10.3390/publications8020018.

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Scholarly productivity is a critical component of pharmacy faculty effort and is used for promotion and tenure decisions. Several databases are available to measure scholarly productivity; however, comparisons amongst these databases are lacking for pharmacy faculty. The objective of this work was to compare scholarly metrics from three commonly utilized databases and a social networking site focused on data from research-intensive colleges of pharmacy and to identify factors associated with database differences. Scholarly metrics were obtained from Scopus, Web of Science, Google Scholar, and ResearchGate for faculty from research-intensive (Carnegie Rated R1, R2, or special focus) United States pharmacy schools with at least two million USD in funding from the National Institutes of Health. Metrics were compared and correlations were performed. Regression analyses were utilized to identify factors associated with database differences. Significant differences in scholarly metric values were observed between databases despite the high correlations, suggestive of systematic variation in database reporting. Time since first publication was the most common factor that was associated with database differences. Google Scholar tended to have higher metrics than all other databases, while Web of Science had lower metrics relative to other databases. Differences in reported metrics between databases are apparent, which may be attributable to the time since first publication and database coverage of pharmacy-specific journals. These differences should be considered by faculty, reviewers, and administrative staff when evaluating scholarly performance.

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Lance, G. N. « Networking databases : a user's perspective ». Serials : The Journal for the Serials Community 5, n^o 2 (1 juillet 1992) : 47–51. http://dx.doi.org/10.1629/050247.

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A.Sinduja, A. Sinduja, Fahad Iqbal et A. Siva subramanian. « Information based Networking and Database for Manufacturing with Ambient Intelligence ». Global Journal For Research Analysis 3, n^o 7 (15 juin 2012) : 89–91. http://dx.doi.org/10.15373/22778160/july2014/31.

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Wang, Ruihong, Jianguo Wang, Stratos Idreos, M. Tamer Özsu et Walid G. Aref. « The case for distributed shared-memory databases with RDMA-enabled memory disaggregation ». Proceedings of the VLDB Endowment 16, n^o 1 (septembre 2022) : 15–22. http://dx.doi.org/10.14778/3561261.3561263.

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Memory disaggregation (MD) allows for scalable and elastic data center design by separating compute (CPU) from memory. With MD, compute and memory are no longer coupled into the same server box. Instead, they are connected to each other via ultra-fast networking such as RDMA. MD can bring many advantages, e.g., higher memory utilization, better independent scaling (of compute and memory), and lower cost of ownership. This paper makes the case that MD can fuel the next wave of innovation on database systems. We observe that MD revives the great debate of "shared what" in the database community. We envision that distributed shared-memory databases (DSM-DB, for short) - that have not received much attention before - can be promising in the future with MD. We present a list of challenges and opportunities that can inspire next steps in system design making the case for DSM-DB.

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Detti, Andrea, Giulio Rossi et Nicola Blefari Melazzi. « Exploiting Information-Centric Networking to Federate Spatial Databases ». IEEE Access 7 (2019) : 165248–61. http://dx.doi.org/10.1109/access.2019.2953043.

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Jing, Xiang Shun, et Meng You Huo. « The Application of Database Connection Pool Based on Java in Things Networking ». Applied Mechanics and Materials 432 (septembre 2013) : 622–25. http://dx.doi.org/10.4028/www.scientific.net/amm.432.622.

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In view of the application of database operation in the things networking, this paper introduces the principle, the working process, the key technology and the realization method of the database connection pool. For the database operation which used JAVA language to formate, we contrasted the accessing time between use connection pool and do not use connection pool. The results show that the appropriately use of the database connection pool technology can improve the real-time performance of the database operation in things networking greatly.

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Loo, Boon Thau, et Stefan Saroiu. « 5th international workshop on networking meets databases (NetDB 2009) ». ACM SIGOPS Operating Systems Review 43, n^o 4 (27 janvier 2010) : 17–18. http://dx.doi.org/10.1145/1713254.1713259.

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Loo, Boon Thau, et Stefan Saroiu. « 5th international workshop on networking meets databases (NetDB 2009) ». ACM SIGMOD Record 38, n^o 4 (27 juin 2010) : 49–50. http://dx.doi.org/10.1145/1815948.1815960.

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Mandias, Green Ferry, Green Arther Sandag, Susi Susanti et Haryanto Reza Musak. « Penerapan Algoritma K-Means Untuk Analisis Prestasi Akademik Mahasiswa Fakultas Ilmu Komputer Universitas Klabat ». CogITo Smart Journal 3, n^o 2 (12 décembre 2017) : 230. http://dx.doi.org/10.31154/cogito.v3i2.72.230-239.

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Universitas Klabat (UNKLAB) adalah salah satu perguruan tinggi swasta yang berada dibawah naungan organisasi Gereja Masehi Advent Hari Ketujuh, yang bertempat di Airmadidi, Sulawesi Utara. Universitas Klabat termasuk universitas yang sangat dikenal di Sulawesi utara, yang di dalamnya memiliki 1 program pascasarjana, 6 fakultas dan 1 akademik. Penelitian ini dilakukan untuk mengetahui pencapaian prestasi mahasiswa fakultas ilmu komputer yang berada pada tingkat 4 yang memiliki 52 mahasiswa yang aktif dengan memanfaatkan metode data mining. Berdasarkan data mahasiswa fakultas ilmu computer, penelitian ini dilakukan untuk mencari tahu berapa banyak mahasiswa yang memiliki prestasi akademik dibidang databases, networking dan programming dengan menggunakan algoritma data mining. Penelitian ini menggunakan algoritma K-Means dalam menganalisis prestasi akademik mahasiswa fakultas llmu komputer di Universitas Klabat. Data yang dianalisis dikelompokan terlebih dahulu agar terstruktur serta data yang dianalisis memiliki kejelasan hasil yang lebih dalam.Hasil yang didapat dari 52 mahasiswa tersebut adalah, 33% mahasiswa memiliki nilai prestasi di bidang database, 42% mahasiswa pada bidang networking dan 25% mahasiswa di bidang programming. Keywords : UNKLAB, Algoritma K-Means ,WEKA, Cluster, Data Mining.

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Zeng, Yu, Xiaofang Zhou, Linshan Zhang, Nianrong Zhou et Gerald E. Sobelman. « A database-driven Ant Colony Algorithm for PLC networking ». IEICE Electronics Express 11, n^o 22 (2014) : 20140957. http://dx.doi.org/10.1587/elex.11.20140957.

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Brendel, C. « The European Diabetes Research Database, a new networking tool ». European Diabetes Nursing 2, n^o 2 (octobre 2005) : 82–83. http://dx.doi.org/10.1002/edn.26.

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Liu, Ji. « Optimization and Management in Order to Drive Targeted Networking Memory Database ». Applied Mechanics and Materials 727-728 (janvier 2015) : 965–68. http://dx.doi.org/10.4028/www.scientific.net/amm.727-728.965.

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In today's vehicle networking system architecture is mainly composed of four parts: sensor networks, wireless communication networks, cloud computing platforms and vehicle terminal. Wireless sensor network is responsible for the front of the real-time collection of traffic information, a wireless communication network to send information to the backend of the cloud computing platform, cloud computing platform to handle a large number of vehicles to collect real-time information from the front, and finally sends the information to the end user. In this thesis, this car networking research background, analyze vehicle networking system architecture consisting of performance indicators for each part of the system recognize cloud platform for large data processing efficiency as well as room for improvement. Then put forward the traditional computing platform I / O disk database with in-memory database to replace the cloud to enhance cloud computing platform for large data processing efficiency.

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Cheng, H., et K. Robinette. « An XML-Based Networking Method for Connecting Distributed Anthropometric Databases ». Data Science Journal 6 (2007) : S18—S27. http://dx.doi.org/10.2481/dsj.6.s18.

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Jensen, Robert E., et Jason Zezhong Xiao. « Customized Financial Reporting, Networked Databases, and Distributed File Sharing ». Accounting Horizons 15, n^o 3 (1 septembre 2001) : 209–22. http://dx.doi.org/10.2308/acch.2001.15.3.209.

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We analyze the relation between customization and standardization in corporate financial reporting. We argue that “Customization Around a Standard Report” (CASR) is a promising approach to financial reporting. Under this approach, the prevailing general purpose report serves as a benchmark, upholds information credibility, maintains information comparability, and satisfies users' common information needs while the added customization meets users' different information and presentation requirements. CASR will be less effective if implemented by the reporting company alone. To be more effective, CASR should be undertaken jointly by the reporting company, the information intermediary, and the end user. Such joint CASR could be implemented in a peer-to-peer networking environment where databases from primary financial data sources, such as reporting companies, and secondary reports from certified financial analysts are networked and shared. Such an environment will create an enormous demand for both customization and standardization. We predict that networking and file sharing in this way will greatly enhance opportunities for assurance services to add legitimacy and selectivity to an overwhelming menu of customization options that will one day be available online.

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Rakshit, Soumyasanta, et Dr S. S. Sridhar. « Asset Management Security System Using RFID Technology ». International Journal of Engineering & ; Technology 7, n^o 4.6 (25 septembre 2018) : 391. http://dx.doi.org/10.14419/ijet.v7i4.6.28448.

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Using radio wave or radio frequency scanners to identify wirelessly any object is not so much complex in reality. The latest version of this technology is known as radio frequency identification or RFID. RFID has three building blocks: small tags built around microchips that carry a digital identification code; The RFID scanners also known as readers, the readers are also known as interrogators and networking hardware and the software to link scanners to the main computer databases that can be in hardware or cloud storage. In this project, we describe the implementation of RFID technology in the platform of asset management system in an organization. Using RFID technology track the all of the assets is the main aim of the project. The RFID interrogators open a serial port and then reads a RFID tag to use it as a unique parameter in the database to access and show the record associated to the RFID chip. Any change is wirelessly synchronized to the main database server.An admin will look after the whole server as an administration. If any new asset is introduced which is not in the main database, when the RFID scanner detects that the admin will get a notification message also in anyway if any asset will tamper by anything or anyone or if someone will try to steal any asset then again, the admin will get a notification message instantly.

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Selvi, T. Kalai, et S. Sasirakha. « Data Management Issues and Study on Heterogeneous Data Storage in the Internet of Things ». Computer Science & ; Engineering : An International Journal 12, n^o 6 (30 décembre 2022) : 27–34. http://dx.doi.org/10.5121/cseij.2022.12604.

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The Internet of Things is a networking standard that connects various hardware, including digital, physical, and virtual things that may communicate with one another and carry out user-requested tasks. Traditional database management methods cannot be used in this entity because of the variety, large volume and heterogeneous data generated by them. The rapid growth of heterogeneous data can only be managed by distributed and parallel computer systems and databases. When it comes to handling vast amount of diverse data, most relational databases have a variety of drawbacks because they were designed for a certain format. One of the most difficulties in data management is investigating such heterogeneous data. Consequently, IoT data management system design has to be considered with some distinct principles. These various guiding concepts enable the suggestion of various IoT data management system strategies. The solution should provide a unified format for the conversion of various heterogeneous data which are generated by the sensors. The integration of generated data is made simple by some middleware or architecture-oriented solutions. Other methods also offer effective storage of the unified data generated. This paper surveys the challenges of IoT Data management and provides a survey about the storage of heterogeneous data and the type of data used.

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Marinagi, Catherine, et Christos Skourlas. « Blended Learning in Personalized Assistive Learning Environments ». International Journal of Mobile and Blended Learning 5, n^o 2 (avril 2013) : 39–59. http://dx.doi.org/10.4018/jmbl.2013040103.

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In this paper, the special needs/requirements of disabled students and cost-benefits for applying blended learning in Personalized Educational Learning Environments (PELE) in Higher Education are studied. The authors describe how blended learning can form an attractive and helpful framework for assisting Deaf and Hard-of-Hearing (D-HH) students to learn and communicate. The described blended learning experiment integrates face-to-face, synchronous, and asynchronous e-learning, bilingual teaching (oral language and Sign Language) in the mainstream class, teaching in parallel classes, and personalized access to distributed databases of educational material. At the core of PELE, the authors use Multimedu, a web-based tailored made tool for disabled students. This experimental tool includes applications of a traditional Learning Management System (LMS), supporting a multilingual dictionary of terms, multimedia management and social networking. Finally, this paper describes the use of the blended e-learning model in “Database I” course, given at the Technological Educational Institute of Athens, Greece.

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Iyapparaja M et Deva Arul S. « Effective Feature Selection Using Hybrid GA-EHO for Classifying Big Data SIoT ». International Journal of Web Portals 12, n^o 1 (janvier 2020) : 12–25. http://dx.doi.org/10.4018/ijwp.2020010102.

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Several novel applications and services of networking for the IoT are supported by the Social Internet of Things (SIoT) in a more productive and powerful way. SIoTs are the recent hot topics rather than other extensions of IoTs. In this research, the authors have extracted the Big Data SIoT using the well-known model named MapReduce framework. Moreover, the unwanted data and noise from the database are reduced using the Gabor filter, and the big databases are mapped and reduced using the Hadoop MapReduce (HMR) technique for improving the efficiency of the proposed GA-EHO. Furthermore, the feature selection using GA-EHO is processed on the filtered dataset. The implementation of the proposed system is done by using some machine learning classifiers for classifying the data and the efficiency is predicted for the proposed work. From the simulation results, the specificity, maximum accuracy, and sensitivity of the proposed GA-EHO are produced about 87.88%, 99.1%, and 81%. Also, the results are compared with other existing techniques.

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Jindal, Rahul M. « International Database Populated by Anonymous Social Networking to Study Transplant Tourism ». Transplantation 102, n^o 2 (février 2018) : e82-e83. http://dx.doi.org/10.1097/tp.0000000000001992.

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Jepsen, Theo, Alberto Lerner, Fernando Pedone, Robert Soulé et Philippe Cudré-Mauroux. « In-network support for transaction triaging ». Proceedings of the VLDB Endowment 14, n^o 9 (mai 2021) : 1626–39. http://dx.doi.org/10.14778/3461535.3461551.

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We introduce Transaction Triaging, a set of techniques that manipulate streams of transaction requests and responses while they travel to and from a database server. Compared to normal transaction streams, the triaged ones execute faster once they reach the database. The triaging algorithms do not interfere with the transaction execution nor require adherence to any particular concurrency control method, making them easy to port across database systems. Transaction Triaging leverages recent programmable networking hardware that can perform computations on in-flight data. We evaluate our techniques on an in-memory database system using an actual programmable hardware network switch. Our experimental results show that triaging brings enough performance gains to compensate for almost all networking overheads. In high-overhead network stacks such as UDP/IP, we see throughput improvements from 2.05X to 7.95X. In an RDMA stack, the gains range from 1.08X to 1.90X without introducing significant latency.

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Yu, Yong Hong, et Wen Yang Bai. « Enforcing Data Privacy in Outsourced Database Services ». Advanced Materials Research 255-260 (mai 2011) : 2224–28. http://dx.doi.org/10.4028/www.scientific.net/amr.255-260.2224.

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Advances in networking technologies and the continued growth of the internet have triggered a new trend towards outsourcing data management and information technology needs to external service providers, and privacy requirements have an increasing impact on such real-world applications. In this paper, we propose a solution to enforce data privacy over outsourced database services. The approach starts from a flexible definition of privacy constraints on a relational schema, applies encryption on information in parsimonious way and mostly relies on attribute partition to protect sensitive information. Based on the approximation algorithm for the minimal encryption of attribute partition and the decomposition of SQL queries, the approach allows storing the outsourced data on a single database server and minimizing the amount of data represented in encrypted format, and allows executing queries over encrypted outsourced database efficiently.

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Pascucci, Stefano. « Factors affecting farmers' networking decisions ». Journal on Chain and Network Science 11, n^o 1 (1 janvier 2011) : 7–17. http://dx.doi.org/10.3920/jcns2011.x192.

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This paper analyses farmers' decisions to carry out transactions by using three different types of networks: input supply cooperatives, processing and/or marketing cooperatives, and producers associations. We use arguments from economic sociology and new institutional economics to define the main factors affecting farmers' networking decisions, namely relational, asset and location specificity. We applied a multivariate probit (MVP) model to a sample of 15,368 Italian farmers recorded in the 2006 FADN database in order to analyse the simultaneousness of networking decisions and the main driving factors involved. Our results show that farmers are more likely to join different network types simultaneously.

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Lobel, Alex, Pierre Royer, Christophe Martayan, Michael Laverick, Thibault Merle, Mathieu Van der Swaelmen, Peter van Hoof, Marc David, Herman Hensberge et Emmanuel Thienpont. « The Belgian Repository of Fundamental Atomic Data and Stellar Spectra (BRASS) ». Atoms 7, n^o 4 (22 novembre 2019) : 105. http://dx.doi.org/10.3390/atoms7040105.

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Background: BRASS (Belgian Repository of Fundamental Atomic Data and Stellar Spectra) is an international networking project for the development of a new public database providing accurate fundamental atomic data of vital importance for stellar spectroscopic research. We present an overview of research results obtained in the past four years. Methods: The BRASS database offers atomic line data we thoroughly tested by comparing theoretical and observed stellar spectra. We perform extensive quality assessments of selected atomic input data using advanced radiative transfer spectrum synthesis calculations, which we compare to high-resolution Mercator-HERMES and ESO-VLT-UVES spectra of F-, G-, and K-type benchmark stars observed with very high signal-to-noise ratios. We have retrieved about half a million atomic lines required for our detailed spectrum synthesis calculations from the literature and online databases such as VAMDC, NIST, VALD, CHIANTI, Spectr-W 3 , TIPbase, TOPbase, SpectroWeb. Results: The atomic datasets have been cross-matched based on line electronic configuration information and organized in a new online repository called BRASS. The validated atomic data, combined with the observed and theoretical spectra are also interactively offered in BRASS. The combination of these datasets is a novel approach for its development providing a universal reference for advanced stellar spectroscopic research. Conclusion: We present an overview of the BRASS Data Interface developments allowing online user interaction for the combined spectrum and atomic data display, line identification, atomic data accuracy assessments including line log(gf)-values, and line equivalent width measurements.

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Chen, Jiawen, Xiaotao Yao et Linlin Liu. « Value creation and value maintenance ». Chinese Management Studies 13, n^o 2 (3 juin 2019) : 318–41. http://dx.doi.org/10.1108/cms-06-2018-0583.

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Purpose This paper aims to examine how a firm’s capability affects its political networking in emerging economies and how the institutional environment influences the relationship between a firm’s capability and its political networking. Design/methodology/approach The authors test the theoretical model by analyzing a database from a World Bank survey in China. Findings The results show a nonlinear (U-shaped) relationship between a firm’s capability and its efforts in political networking. The relationship between a firm’s capability and political networking is contingent on the institutional environment, as reflected in institutional development and industry regulation. Originality/value This study elucidates political networking in emerging economies and contributes to research on corporate political strategy.

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Popescu, Liliana Georgeta, et Paul Dan Brîndaşu. « Study on New Product Development, by Networking ». Applied Mechanics and Materials 760 (mai 2015) : 69–74. http://dx.doi.org/10.4028/www.scientific.net/amm.760.69.

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The paper presents a situation of working in network in order to design or improve a new product. To implement theoretical models and to validate a working algorithm into a virtual research, there was proposed a specific theme from drilling and chamfering tool. The facilities offered by the research centers – database, software - led to rapid selection and configuration solutions, demonstrating achieving research productivity growth and a substantial reduction of times redesign.

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Shahabi, Cyrus, Ramesh Govindan et Karl Aberer. « Report on the first IEEE international workshop on networking meets databases (NetDB'05) ». ACM SIGMOD Record 34, n^o 4 (décembre 2005) : 75–77. http://dx.doi.org/10.1145/1107499.1107515.

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Wang, Kelvin C. P., Xuyang Li et Robert P. Elliott. « Generic Multimedia Database for Highway Infrastructure Management ». Transportation Research Record : Journal of the Transportation Research Board 1615, n^o 1 (janvier 1998) : 56–64. http://dx.doi.org/10.3141/1615-08.

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Images of highway right-of-way are used widely by highway agencies through their photologging services to obtain visual information for the analysis of traffic accidents, design improvement, and highway pavement management. The video data usually are in analog format, which is limited in accessibility and search, cannot automatically display site engineering data sets with video, and does not allow simultaneous access by multiple users. Recognizing the need to improve the existing photologging systems, the state highway agency of Arkansas sponsored a research project to develop a full digital, computer-based highway information system that extends the capabilities of existing photologging equipment. The software technologies developed for a distributed multimedia-based highway information system (MMHIS) are presented. MMHIS removes several limitations of the existing systems. The advanced technologies used in this system include digital video, data synchronization, high-speed networking, and video server. The developed system can dynamically link the digital video with the corresponding engineering site data based on a novel algorithm for the data synchronization. Also presented is a unique technique to construct a three-dimensional user interface for MMHIS based on the terrain map of Arkansas.

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Kontovasilis, Kimon, George Kormentzas, Anastasios Kourtis, Nikolas Mitrou, John Soldatos et Evangelos Vayias. « A Web-based Database System for Providing Technical Information on ATM Networking Platforms ». Journal of Computing and Information Technology 11, n^o 1 (2003) : 1. http://dx.doi.org/10.2498/cit.2003.01.01.

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Kottursamy, Kottilingam, Gunasekaran Raja, Jayashree Padmanabhan et Vaishnavi Srinivasan. « An improved database synchronization mechanism for mobile data using software-defined networking control ». Computers & ; Electrical Engineering 57 (janvier 2017) : 93–103. http://dx.doi.org/10.1016/j.compeleceng.2016.01.019.

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Suryono, Ryan Randy. « FINANCIAL TECHNOLOGY (FINTECH) DALAM PERSPEKTIF AKSIOLOGI ». Masyarakat Telematika Dan Informasi : Jurnal Penelitian Teknologi Informasi dan Komunikasi 10, n^o 1 (25 septembre 2019) : 52. http://dx.doi.org/10.17933/mti.v10i1.138.

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A technology is generated from the development of science which is then implemented in society. Changes in science to technology are inseparable from scientists. A scientist will be confronted with personal interests or interests of the general public which bring to the issue of scientific ethics and value-free problems. Likewise with the progress of e-finance and mobile technology for financial companies. This prompted Fintech's innovation to emerge after the global financial crisis in 2008 by combining e-finance, internet technology, social networking services, social media, artificial intelligence, and Big Data analytics. In addition, with the development of the digital economy, Fintech is present as an innovation. But in its development, there are still positive and negative issues from the application of Fintech that provide many new perspectives that lead to moral and ethical issues. By adopting the Kitchenham Systematic Literature Review (SLR) approach, this study identifies what problems occur in the development of Fintech. Using three databases, including SCOPUS, ScienceDirect, and IEEE Xplore and Mendeley devices for journal database management, this study attempts to formulate an understanding of Fintech, Fintech variety, trends and Fintech innovations, what problems arise from Fintech innovation and how solutions are implemented Fintech

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Patano, Assunta, Nunzio Cirulli, Matteo Beretta, Paola Plantamura, Alessio Danilo Inchingolo, Angelo Michele Inchingolo, Ioana Roxana Bordea et al. « Education Technology in Orthodontics and Paediatric Dentistry during the COVID-19 Pandemic : A Systematic Review ». International Journal of Environmental Research and Public Health 18, n^o 11 (4 juin 2021) : 6056. http://dx.doi.org/10.3390/ijerph18116056.

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Over the last decade, medical education changed from traditional teaching methods to telematic and networking scholar and e-learning approach. The objective of the present systematic review was to evaluate the effectiveness and teachers/student’s acceptability of e-learning applied to the field of orthodontics and paediatric dentistry. A database search of the literature was conducted on PubMed and Embase databases from January 2005 to May 2021. A total of 172 articles were identified by the electronic search, while a total of 32 papers were selected for qualitative analysis. Overall, 19 articles investigated the effectiveness of e-learning, and no difference of acceptability was reported between e-learning and traditional methods for a wide part of the articles selected. A total of 25 papers provided a satisfaction questionnaire for learners and all were positive in their attitude towards e-learning. The results showed that e-learning is an effective method of instruction, complementing the traditional teaching methods, and learners had a positive attitude and perception. The evidence of the present study reported a high level of acceptability and knowledge level of e-learning techniques, compared to frontal lecture methods, in the fields of orthodontics and paediatric dentistry.

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Gong, Leiguang, et Casimir A. Kulikowski. « Medical Image Processing in an Era of High-Performance Computing ». Yearbook of Medical Informatics 03, n^o 01 (août 1994) : 61–68. http://dx.doi.org/10.1055/s-0038-1637994.

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AbstractAdvanced radiology practices are already benefiting from powerful and increasingly more economical computing and networking facilities. Medical image processing methods have improved dramatically over the past five years, with sophisticated 3D display, visualization and analysis techniques allowing increased integration of multiple modalities of imaging, flexible environments for imaging analysis, and P ACS (picture archiving and communication systems) for ease of transmission and retrieval. Emerging directions involve teleradiology and telesurgery virtual reality applications, the development of new image database techniques, and the building of large visual databases like that of the Visible Human Project. Challenging problems of image segmentation, registration, and multimodal image fusion are still with us. Building dynamic, flexible electronic atlases will have a profound effect on the understanding of structure and function from the level of cellular physiology to gross anatomy, but requires the development of new techniques of visual knowledge representation and more standardized ways of defining the conceptual and linguistic constructs of visual objects in biomedicine, for linkage to medical records, research results, and educational materials. Methods for reasoning with visual information in the context of multimedia information systems present an inviting challenge to the upcoming generation of researchers in medical informatics.

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Wang, Xingwang. « The High Security Mechanisms Algorithm of Similarity Metrics for Wireless and Mobile Networking ». Journal of Electrical and Computer Engineering 2017 (2017) : 1–6. http://dx.doi.org/10.1155/2017/4782972.

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With the development of human society and the development of Internet of things, wireless and mobile networking have been applied to every field of scientific research and social production. In this scenario, security and privacy have become the decisive factors. The traditional safety mechanisms give criminals an opportunity to exploit. Association rules are an important topic in data mining, and they have a broad application prospect in wireless and mobile networking as they can discover interesting correlations between items hidden in a large number of data. Apriori, the most influential algorithm of association rules mining, needs to scan a database many times, and the efficiency is low when the database is huge. To solve the security mechanisms problem and improve the efficiency, this paper proposes a new algorithm. The new algorithm scans the database only one time and the scale of data to deal with is getting smaller and smaller with the algorithm running. Experiment results show that the new algorithm can efficiently discover useful association rules when applied to data.

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Adhikari, Shovita Dhakal, Edwin R. Van Teijlingen, Pramod R. Regmi, Preeti Mahato, Bibha Simkhada et Padam P. Simkhada. « The Presentation of Academic Self in The Digital Age : The Role of Electronic Databases ». International Journal of Social Sciences and Management 7, n^o 1 (27 janvier 2020) : 38–41. http://dx.doi.org/10.3126/ijssm.v7i1.27405.

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A growing number of online electronic resources present academic work. We are not focusing here on specialised electronic databases that store bibliographic research data, such as Medline, PubMed, ASSIA, ERIC, JSTOR, but databases or social networking websites /platforms for academics/researchers that profile research, academic and professional activities, such as SCOPUS, WoS (Web of Science), Academia.edu, KUDOS, ORCiD, ResearchGate, LinkedIn, Google-Scholar and Mendeley. We discuss databases or platforms can promote the profile of an individual academic, highlighting their research interests, grants and publications. These databases are good outlets for Early Career Researchers (ECRs) to build, improve and promote their public profile. However, the level of efforts requires to open an account or to maintain these databases regularly can be a daunting task for some scholars. This paper outlines some of these key databases and their functions and reflects on advantages and disadvantages of engaging with the most popular ones. We remind the reader that many of these databases require academics’ attention and input, and thus create more work. Int. J. Soc. Sc. Manage. Vol. 7, Issue-1: 38-41

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Malinovska, Iryna. « Content of intellectual property rights in the field of relations with social networking databases ». Entrepreneurship, Economy and Law 6 (2019) : 33–38. http://dx.doi.org/10.32849/2663-5313/2019.6.06.

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Hasyim, Hasyim, Janner Simarmata et Nasirwan Nasirwan. « Building marketing performance through digital marketing and database-based networking capability in Indonesian SMEs ». International Journal of Data and Network Science 6, n^o 4 (2022) : 1125–34. http://dx.doi.org/10.5267/j.ijdns.2022.7.007.

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This study aims to bridge the theoretical gap in the relationship of business ability to build relationships with marketing performance in the digital economy era, marked by the application of IT in its business activities. The progress of the digital economy is currently increasing in response to the Covid-19 pandemic. Data collection was conducted by distributing questionnaires to the owners and managers of SMEs in the city of Medan. Questionnaires were distributed to 175 respondents using non-probability sampling and purposive sampling techniques. Testing models and hypotheses using Structural Equation Model (SEM) was conducted with AMOS software version 23. The results show that SMEs are more likely to build and develop database-based networks to improve marketing performance. It is empirically proven that digital marketing, strategy quality, and relationship-building skills improve SMEs' marketing performance in Medan City. Theoretically, this study contributes in highlighting the strategy quality and relational database as moderating variables in the relationship between relational capability and marketing performance in digital business.

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Laranjo, Liliana, Amaël Arguel, Ana L. Neves, Aideen M. Gallagher, Ruth Kaplan, Nathan Mortimer, Guilherme A. Mendes et Annie Y. S. Lau. « The influence of social networking sites on health behavior change : a systematic review and meta-analysis ». Journal of the American Medical Informatics Association 22, n^o 1 (8 juillet 2014) : 243–56. http://dx.doi.org/10.1136/amiajnl-2014-002841.

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Abstract Objective Our aim was to evaluate the use and effectiveness of interventions using social networking sites (SNSs) to change health behaviors. Materials and methods Five databases were scanned using a predefined search strategy. Studies were included if they focused on patients/consumers, involved an SNS intervention, had an outcome related to health behavior change, and were prospective. Studies were screened by independent investigators, and assessed using Cochrane's ‘risk of bias’ tool. Randomized controlled trials were pooled in a meta-analysis. Results The database search retrieved 4656 citations; 12 studies (7411 participants) met the inclusion criteria. Facebook was the most utilized SNS, followed by health-specific SNSs, and Twitter. Eight randomized controlled trials were combined in a meta-analysis. A positive effect of SNS interventions on health behavior outcomes was found (Hedges’ g 0.24; 95% CI 0.04 to 0.43). There was considerable heterogeneity (I2 = 84.0%; T2 = 0.058) and no evidence of publication bias. Discussion To the best of our knowledge, this is the first meta-analysis evaluating the effectiveness of SNS interventions in changing health-related behaviors. Most studies evaluated multi-component interventions, posing problems in isolating the specific effect of the SNS. Health behavior change theories were seldom mentioned in the included articles, but two particularly innovative studies used ‘network alteration’, showing a positive effect. Overall, SNS interventions appeared to be effective in promoting changes in health-related behaviors, and further research regarding the application of these promising tools is warranted. Conclusions Our study showed a positive effect of SNS interventions on health behavior-related outcomes, but there was considerable heterogeneity. Protocol registration The protocol for this systematic review is registered at http://www.crd.york.ac.uk/PROSPERO with the number CRD42013004140.

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Motokawa, Masaharu, Haruyoshi Gotoh, Shunsuke Yamashita, Hidetoshi Nagamasu et Terufumi Ohno. « Connecting Museum Collections and Research as Scientific Infrastructure ». International Journal of Humanities and Arts Computing 8, supplement (mars 2014) : 84–94. http://dx.doi.org/10.3366/ijhac.2014.0100.

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University museums are considered centers of object-based research. In object-based research, two interactive cycles connect collections and research during the production of new scientific results. To achieve good circulation of these two interactive cycles, connections between collection items and research publications are indispensable. However, these connections are currently made on a voluntary basis by each university museum. We expect that the establishment of a two-way connection system between collections and research will serve a new scientific infrastructure and worldwide framework. We propose the conceptual design of the ‘Connections between Collections and Research’ (CCR) database that might be linked with research publication and museum collection databases. Connections between research and collections will contribute to scientific clarity and visibility, support collection management, and promote disciplinary and interdisciplinary science based on each collection. Cooperation and networking by university museums, as well as by institutes and scientists that maintain and utilize collections is required in order to realize the development of this scientific infrastructure. By reflecting the resources of university collections and scientists in various research fields, including information science, university museums worldwide might make significant contributions to the establishment and organization of a new system that aims to connect collections and research.

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S. Bhatt, Malay, et Tejas P. Patalia. « Indian Monuments Classification using Support Vector Machine ». International Journal of Electrical and Computer Engineering (IJECE) 7, n^o 4 (1 août 2017) : 1952. http://dx.doi.org/10.11591/ijece.v7i4.pp1952-1963.

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Recently, Content-Based Image Retrieval is a widely popular and efficient searching and indexing approach used by knowledge seekers. Use of images by e-commerce sites, by product and by service industries is not new nowadays. Travel and tourism are the largest service industries in India. Every year people visit tourist places and upload pictures of their visit on social networking sites or share via the mobile device with friends and relatives. Classification of the monuments is helpful to hoteliers for the development of a new hotel with state of the art amenities, to travel service providers, to restaurant owners, to government agencies for security, etc.. The proposed system had extracted features and classified the Indian monuments visited by the tourists based on the linear Support Vector Machine (SVM). The proposed system was divided into 3 main phases: preprocessing, feature vector creation and classification. The extracted features are based on Local Binary Pattern, Histogram, Co-occurrence Matrix and Canny Edge Detection methods. Once the feature vector had been constructed, classification was performed using Linear SVM. The Database of 10 popular Indian monuments was generated with 50 images for each class. The proposed system is implemented in MATLAB and achieves very high accuracy. The proposed system was also tested on other popular benchmark databases.

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Duha Khalid Abdul-Rahman Al-Malah, Ban Hassan Majeed et Haider TH Salim ALRikabi. « Enhancement the Educational Technology by Using 5G Networks ». International Journal of Emerging Technologies in Learning (iJET) 18, n^o 01 (10 janvier 2023) : 137–51. http://dx.doi.org/10.3991/ijet.v18i01.36001.

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With the spread of global markets for modern technical education and the diversity of programs for the requirements of the local and global market for information and communication technology, the universities began to race among themselves to earn their academic reputation. In addition, they want to enhance their technological development by developing IMT systems with integrated technology as the security and fastest response with the speed of providing the required service and sure information and linking it The network and using social networking programs with wireless networks which in turn is a driver of the emerging economies of technical education. All of these facilities opened the way to expand the number of students and solve the problem of accumulation, collection and analysis of data by storing it with large, expanded and automatically interconnected databases between university places and departments to provide services adapted to the desire of demand. This research dealt with a sample from of the academic’s opinions and students. The sample is 319 questionnaires. It concluded that each of the infrastructure, devices, Internet of things, smart classrooms, and administrative database, with the presence of the fifth-generation network and its equipment, have a statistically significant correlation with technical education technology.

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N. S., Patil, Kiran P, Kiran N. P. et Naresh Patel K. M. « A Survey on Graph Database Management Techniques for Huge Unstructured Data ». International Journal of Electrical and Computer Engineering (IJECE) 8, n^o 2 (1 avril 2018) : 1140. http://dx.doi.org/10.11591/ijece.v8i2.pp1140-1149.

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Data analysis, data management, and big data play a major role in both social and business perspective, in the last decade. Nowadays, the graph database is the hottest and trending research topic. A graph database is preferred to deal with the dynamic and complex relationships in connected data and offer better results. Every data element is represented as a node. For example, in social media site, a person is represented as a node, and its properties name, age, likes, and dislikes, etc and the nodes are connected with the relationships via edges. Use of graph database is expected to be beneficial in business, and social networking sites that generate huge unstructured data as that Big Data requires proper and efficient computational techniques to handle with. This paper reviews the existing graph data computational techniques and the research work, to offer the future research line up in graph database management.

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Nana Durgade, Bharti, et Prof K. S. Kadam. « Enhancing Sub Graph Matching With Set Correlation Technique in Large Graph Database ». International Journal of Engineering & ; Technology 7, n^o 4.5 (22 septembre 2018) : 16. http://dx.doi.org/10.14419/ijet.v7i4.5.20000.

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As the increase of users in social networking sites gives rise to complex relation between the users, which often leads to understand the group of users with similar taste. Now days, this is a one of the growing research area to find the similar users in the relational graph database. Many systems are been introduced to identify the matching sub graphs using similarity between the users. This often yields not much appropriate results due to strict similarity measures. So proposed system uses a technique of identifying correlation between the users for the fired query using pattern identification by incorporating frequent pattern analysis and Pearson correlation which is catalyzed by strong pruning techniques.

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Nef, Tobias, Raluca L. Ganea, René M. Müri et Urs P. Mosimann. « Social networking sites and older users – a systematic review ». International Psychogeriatrics 25, n^o 7 (4 avril 2013) : 1041–53. http://dx.doi.org/10.1017/s1041610213000355.

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ABSTRACTBackground: Social networking sites can be beneficial for senior citizens to promote social participation and to enhance intergenerational communication. Particularly for older adults with impaired mobility, social networking sites can help them to connect with family members and other active social networking users. The aim of this systematic review is to give an overview of existing scientific literature on social networking in older users.Methods: Computerized databases were searched and 105 articles were identified and screened using exclusion criteria. After exclusion of 87 articles, 18 articles were included, reviewed, classified, and the key findings were extracted. Common findings are identified and critically discussed and possible future research directions are outlined.Results: The main benefit of using social networking sites for older adults is to enter in an intergenerational communication with younger family members (children and grandchildren) that is appreciated by both sides. Identified barriers are privacy concerns, technical difficulties and the fact that current Web design does not take the needs of older users into account.Conclusions: Under the conditions that these problems are carefully addressed, social networking sites have the potential to support today's and tomorrow's communication between older and younger family members.

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Amandeep Chopra, Oshin Kanwar et Sukh Sagar. « Spectre of Doping : The Bane of Indian Athletics ? » International Healthcare Research Journal 2, n^o 3 (10 juin 2018) : 52–54. http://dx.doi.org/10.26440/ihrj/02_03/171.

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Doping among athletes has been brought to the spotlight among media and social networking circles. The complete information about Doping had been collected from various journals, books, online databases and various reports from international conferences. This article will give an overview of doping- incidence, agencies dealing with doping and recommendation to curb doping.

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Bourke, Evan. « Networking early modern Irish women ». Irish Historical Studies 46, n^o 170 (novembre 2022) : 270–85. http://dx.doi.org/10.1017/ihs.2022.44.

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AbstractOver the last decade, network analysis has developed as an approach within digital humanities as a wider array of tools has become available to humanities scholars, and these approaches are now beginning to make an impact on the disciplines of history and English. This article presents an overview of different ways of approaching network analysis. It assesses recent projects to see how they accounted for gender in their datasets and what can be learnt about early modern women from these projects. It then looks at how projects in Ireland are engaging with network analysis, discussing the approaches used by RECIRC and introducing MACMORRIS's analysis of the Dictionary of Irish biography (D.I.B.) and the Bardic Poetry Database (B.P.D.), looking at how the latter is attempting to overcome the unconscious gender bias inherent in the D.I.B.'s selection of early modern lives from the period between 1541 and 1660. Finally, it points to some of the wider issues we as scholars face when engaging with this methodology, such as access to the required training and collaboration, arguing that while these are not unique challenges to the study of gender history in Ireland, they are important debates that can enhance scholarship in the field.

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Sargent, R. « Networking nature : Building cybercabinets of digital curiosities ». Collection Forum 28, n^o 1-2 (1 janvier 2014) : 63–76. http://dx.doi.org/10.14351/0831-0005-28.1.63.

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Abstract In the age of the Internet, engaging the public online is critical to building audiences and broadening support for natural history. While collections managers have been providing online access to collections through sophisticated database search interfaces, less progress has been made to present these resources in a user-friendly framework. Some museums are thinking in terms of networked online knowledge and radically shifting the way they broker their digital content. This research examines ways natural history can be effectively presented online to the public by reviewing relevant literature, analyzing six model sites with a heuristic evaluation tool and a user survey, and exploring three case studies through project personnel interviews. Findings summarize important strategies for cultivating creative online access to natural history digital resources and culminate in offering guidelines for building these “cybercabinets” of digital natural history specimens.

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Bogdanovich, N. V., V. V. Delibalt et V. A. Chernushevich. « Principles of Practical Training Organization in a Networking (Development of the Module "Psychological Prevention of Behavioral Disorders and Abnormalities in Development" as Example) ». Psychology and Law 5, n^o 4 (2015) : 1–13. http://dx.doi.org/10.17759/psylaw.2015050401.

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The article presents principles of inserting study subjects and practices in educational modules running with network organizations (internship sites). We proposed a methodological basis of the modular organization of educational process in the framework of the master's program, combied the activity, competence and psychotechnical approaches. Networking of leading chair and specially selected organizations providing the base for practical training solves the problem of organizing activity-related content of educational module. We discussed the main options for networking with the databases of practice and offered methodological principles of designing the educational practice-oriented module, wherein the main principle is the reflexive and activity character of networking. We proposed activity-based content of educational module "Psychological prevention of behavioral disorders and abnormalities in development", based on the substantial psychological definition of psychoprophylaxis as a directions of professional activity of the psychologist.

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Huang, Lan, Jing Zhang, Kai Feng, Ping Ju, Yun Feng Wei, Ding Ke Song et Hao Xu. « Building a Scientific Social Network with Joomla ! » Applied Mechanics and Materials 687-691 (novembre 2014) : 2316–19. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.2316.

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We live in a society in rapid development of technology, social networking sites that we use almost every day, but the main purpose of these social networks are not sharing knowledge within the university campus to share knowledge and learn from the experience is very important. Joomla! is an internationally renowned content management system, which is based on the framework of the PHP language and MySql database. In this paper, we based on Joomla! and with MySql database management system designed and implemented a campus social network, designed to create a favorable environment for teachers and student exchanges and cooperation.

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Sharp, Elliott W., Keegan Curlewis et Thomas H. S. Clarke. « Stop paying through the nose : student and trainee medical conferences offer better value for money than professional alternatives ». Postgraduate Medical Journal 95, n^o 1129 (24 juillet 2019) : 577–82. http://dx.doi.org/10.1136/postgradmedj-2019-136734.

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BackgroundScientific conferences in the UK are attended by practising doctors and medical students for sharing research, networking and professional development. Student/trainee conferences are typically cheaper than professional conferences, but as they are not acknowledged in national scoring systems for medical and surgical training applications, they may have worse attendance than otherwise possible. We questioned whether student/trainee conferences are of a similar scientific quality to professional conferences, while being considerably cheaper.MethodsIn this cross-sectional database review, 162 conferences were identified through a systematic search of two conference databases by three independent researchers. χ2 tests were used to compare scientific quality between student/trainee and professional conferences and the likelihood of offering different types of discounts. Independent t-tests were employed to determine cost differences between the two categories of conferences.ResultsOur data revealed that there was no significant difference between student/trainee and professional conferences likelihood of declaring information on their abstract review processes (p=0.105). There was no difference in speaker seniority, determined by the tool the authors developed (p=0.172). Student/trainee conferences were significantly more likely to offer workshops (p<0.0005) and were cheaper than professional conferences (p<0.0005).ConclusionOur results show that student/trainee conferences offer a similar level of scientific quality to professional medical conferences in the UK at a fraction of the cost, which should be reflected within the national scoring systems.

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Gupta, Sangeeta, et Narsimha Gugulothu. « Secure NoSQL for the Social Networking and E-Commerce Based Bigdata Applications Deployed in Cloud ». International Journal of Cloud Applications and Computing 8, n^o 2 (avril 2018) : 113–29. http://dx.doi.org/10.4018/ijcac.2018040106.

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The work presented in this article brings into light the security issues with NoSQL databases- MongoDB, HBase and Cassandra. A literature survey is carried out to identify the modern world scenarios of the applications using NoSQL databases and limitations are identified. A solution is proposed by designing a framework to achieve security for the web crawler applications using Cassandra, a NoSQL data store. Experimental results are presented to show the effectiveness of the work by designing an appropriate algorithm to trigger security for scalable web crawler architecture. Amazon Web Services (AWS), a familiar cloud platform, and bitnami cloud hosting services are used to procure the required servers and virtual machines. Performance changes on the virtual machines are brought into consideration before and after encrypting and decrypting the voluminous data and an improvement in efficiency is observed with the proposed model.

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