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1

Bobur, Khalilov. "Scientific and Practical Significance of Online Educational Platforms." European International Journal of Pedagogics 5, no. 2 (2025): 14–17. https://doi.org/10.55640/eijp-05-02-04.

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This article explores the scientific and practical significance of online education platforms, highlighting their evolution from early distance-learning models to contemporary, interactive formats that harness cutting-edge digital tools. Drawing on historical perspectives, it underscores how online platforms have reshaped teaching methodologies by providing cost-effective, flexible, and inclusive opportunities for a global learner community. The widespread adoption of advanced learning management systems and adaptive technologies has ushered in a new era of data-driven research, enabling educators and researchers to analyze learner behavior in unprecedented depth. By examining areas such as learner engagement, motivation, and performance, these platforms serve as living laboratories for ongoing pedagogical innovation. Additionally, the article addresses pressing challenges, including the digital divide and learner isolation, which can hinder the equitable potential of online education. The discussion emphasizes the need for robust policy measures, infrastructure investments, and teacher training initiatives to ensure that the benefits of technology-driven learning are broadly accessible. As internet connectivity continues to expand and sophisticated tools like artificial intelligence and virtual reality become more prevalent, online education platforms are poised to transform how learners acquire knowledge and develop critical thinking skills. The central argument is that, if managed responsibly and inclusively, these digital learning environments will continue to revolutionize education by bridging gaps, fostering innovation, and shaping the future of global learning.
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Kryukov, A. P., A. P. Demichev, and S. P. Polyakov. "Web platforms for scientific research." Programming and Computer Software 42, no. 3 (2016): 129–41. http://dx.doi.org/10.1134/s036176881603004x.

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Zakhlebin, Igor, and Emoke-Ágnes Horvát. "Diffusion of Scientific Articles across Online Platforms." Proceedings of the International AAAI Conference on Web and Social Media 14 (May 26, 2020): 762–73. http://dx.doi.org/10.1609/icwsm.v14i1.7341.

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Online platforms have become the primary source of information about scientific advances for the wider public. As online dissemination of scientific findings increasingly influences personal decision-making and government action, there is a growing necessity and interest in studying how people disseminate research findings online beyond one individual platform. In this paper, we study the simultaneous diffusion of scientific articles across major online platforms based on 63 million mentions of about 7.2 million articles spanning a 7-year period. First, we find commonalities between people sharing science and other content such as news articles and memes. Specifically, we find recurring bursts in the coverage of individual articles with initial bursts co-occurring in time across platforms. This allows for a ranking of individual platforms based on the speed at which they pick up scientific information. Second, we explore specifics of sharing science. We reconstruct the likely underlying structure of information diffusion and investigate the transfer of information about scientific articles within and across different platforms. In particular, we (i) study the role of different users in the dissemination of information to better understand who are the prime sharers of knowledge, (ii) explore the propagation of articles between platforms, and (iii) analyze the structural virality of individual information cascades to place science sharing on the spectrum between pure broadcasting and peer-to-peer diffusion. Our work provides the broadest study to date about the sharing of science online and builds the basis for an informed model of the dynamics of research coverage across platforms.
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Flecha, Ramón, Mar Joanpere, Regina Gairal, Rosa Valls-Carol, Ane López de Aguileta, and Ariadna Munté-Pascual. "Sappho Scientific Evidence Platform on Gender: Narratives of Academics and Non-Academics about a Community Science Case." Multidisciplinary Journal of Gender Studies 13, no. 3 (2024): 197–212. http://dx.doi.org/10.17583/generos.15535.

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Modern society's digitization has led to the creation of online science platforms. Research shows that academic-oriented platforms boost active research teams, enhance scientific collaboration, and encourage manuscript reviews. However, there is limited research on platforms for citizen participation in science. This study examines the Sappho Scientific Evidence Platform, which aims to provide a science-based participatory tool with a focus on gender-related issues. Using a qualitative communicative approach, 10 users (6 primary school teachers, 2 researchers, and 2 university professors) were interviewed about their platform usage, impacts encountered, and the dialogues between citizens and scientists. The findings reveal that both academics and non-academics can contribute to science on Sappho. Participants reported improved scientific literacy, enhanced conversations about scientific evidence, and the use of this evidence in their personal and professional lives. The platform empowers users to critically engage with gender issues. These results highlight Sappho's positive impact and its potential as a valuable tool for promoting scientific evidence among its users.
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Xu, Hao, Mi Zou, and Wei Liu. "A Review of Scientific Publishing Platforms." Applied Mechanics and Materials 411-414 (September 2013): 152–55. http://dx.doi.org/10.4028/www.scientific.net/amm.411-414.152.

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Scientific publishing is currently undergoing significant paradigm shifts, as it makes the transition from print to electronic format, from subscribers only to open access and from static information to a dynamic knowledge space. In this paper, we investigate four tremendously promising online publishing systems and projects as a short review of state-off-the-art scientific publishing platforms.
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Stryzhak, Stryzhak, Stanislav Dovgyi, Valentyna Demianenko, Maryna Popova, and Olena Gayevska. "Cognitive digital platforms of scientific education." Мiждисциплiнарнi дослiдження складних систем, no. 19 (2021): 35–47. http://dx.doi.org/10.31392/iscs.2021.19.035.

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Navarro-Molina, Carolina, Juan-Miguel López-Gil, Rafael Aleixandre-Benavent, and Juan-Carlos Valderrama-Zurián. "Study of the accessibility of a sample of scientific electronic journal publishing platforms." Online Information Review 42, no. 3 (2018): 387–411. http://dx.doi.org/10.1108/oir-04-2016-0107.

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Purpose The purpose of this paper is to analyse the degree of accessibility of a set of electronic journals that are hosted on widely used online scientific journal publishing platforms and whose content quality has already been certified. Two studies were performed, in which the accessibility of the selected platforms was studied in 2011 and 2016. Design/methodology/approach The research was performed on publishing platforms than hosted more than 20 journals about human behaviour and factors that may influence it. The evaluation was carried out following the methodology described by the Web Accessibility Initiative in their Website Accessibility Conformance Evaluation Methodology. Findings The results show that, in spite of an improvement in accessibility, all the analysed electronic consultation platforms contain errors that could hinder their users’ access to their content. The incidence of errors found varies considerably among platforms. As the user interface of each platform analysed is common to all the online scientific electronic journals it hosts, the results obtained are valid for all other journals hosted on a given platform. Research limitations/implications Obtained results were valid in the date and time the websites were analysed. Changes made on the websites since then make that the results of an accessibility analysis would be different. Practical implications Analysed platforms would require taking steps to ensure their accessibility. Social implications Users with disabilities cannot use these platforms appropriately due to the accessibility problems found. The lack of web accessibility also has implications regarding visibility of published articles and common users. Originality/value This work offers a systematic analysis that includes manual accessibility evaluation, which has not been performed in scientific article publishing platforms to the extent presented in this paper. Articles found in the literature perform automatic analyses, which lack the depth of a manual one. Besides, when manual accessibility analysis is performed, usually the home page of a platform or journal alone is considered.
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V.N., Kulakyvskiy, Skvortsov I.V., and Dubenko M.V. "Academic journal online publishing platforms, open journal system 3 overview and example." Artificial Intelligence 24, no. 1-2 (2019): 69–74. http://dx.doi.org/10.15407/jai2019.01-02.069.

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The scientific article is devoted to the actual problem of scientific interaction of scientists all over the world by developing the representation of a scientific journal on the Internet. This article describes the status of managing a scientific journal in the digital world. Modern software platforms intended for automation of preparation and publication of electronic scientific journals are presented. The analysis and comparison of several software platforms. The advantages of using open source journal systems are given. The choice of OJS3 platform is substantiated and a short generalized algorithm for its use is outlined.
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Ignatyuk, Anzhela, Inna Honcharuk, and Bohdan Yakymchuk. "PRICE OPTIMIZATION MODEL FOR PLATFORM’S GOODS AND SERVICES IN MULTI-SIDED MARKETS." Baltic Journal of Economic Studies 6, no. 5 (2020): 89–95. http://dx.doi.org/10.30525/2256-0742/2020-6-5-89-95.

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Purpose. The study is aimed at defining the nature of platforms in multi-sided markets in order to find the price optimization model for platform’s goods and services. Methodology. The article used general scientific and special research methods. The generalization of the main methodological approaches to the study of the essence of multi-sided markets, the identification of factors affecting the platform’s pricing strategy were based on the methods of dialectics, scientific abstraction, and systemic analysis. The basis of the study of the essence of “platforms” was laid on the use of the following methods: analysis and synthesis, induction and deduction, generalization. Economic and mathematical modeling, scientific abstraction, systemic structural analysis contributed to the development of our own model of the optimal strategy for choosing the price of goods and services by platforms. Findings. The article defines factors that affect the pricing of platform’s goods and services. An economic and mathematical model has also been developed to determine an optimal strategy for choosing the price in terms of Nash equilibrium. There have been identified three main factors, which produce the most significant impact on the price of goods and services of platforms: marginal costs; rate of return of another product is being implemented by the platform; elasticity of demand and price. Practical implications. In the conclusions, not only the advantages but also the limitations of the proposed economic and mathematical model have been pointed out, which can be addressed in further studies and implemented into specific living model of economic decisions while price optimization model for platform’s goods and services in multi-sided markets. Originality/value. The article is generalizing the previous experience within the niche of price optimization model. Also authors have developed their own economic and mathematical model of the optimal strategy for choosing the price for the platform’s products or services, which enabled us to identify its dependence on 3 main factors: marginal costs, rates of profitability of other products sold by the platform, elasticity of demand and price. These results can be overcome in future studies. The results and conclusions have been done by the authors and are totally original.
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Morańska, Danuta. "Innovative methods of adult learners’ educationin the framework of scientific and social partnership." International Journal of Pedagogy, Innovation and New Technologies 7, no. 1 (2020): 69–75. http://dx.doi.org/10.5604/01.3001.0014.4460.

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Development of network technologies creates more and more friendly conditions contributing to the development of e-learning platforms. Thanks to simpler and more intuitive operation, e-learning platforms are applicable in the implementation of educational objectives among adult learners. E-platforms contribute to the integration and creation of cooperation networks among environments implementing common objectives, although they function in remote localizations. In the paper the opportunities of innovative applications of the e-learning Moodle platform was characterized. This platform was used to implement objectives connected with intercultural and intergenerational education in the process of Long Life Learning among Polish people living abroad. The aim of the implemented project was common development of innovative methodology of adult learners’ education in order to provide the high level of teaching with the application of e-learning solutions.
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Kasioumis, Nikos, and Valeria Brancolini. "Collaborative Scientific Authoring at CERN." EPJ Web of Conferences 214 (2019): 07003. http://dx.doi.org/10.1051/epjconf/201921407003.

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For over a year we ran a CERN-wide trial of collaborative authoring platforms, understanding the authoring habits of the CERN community and gathering user requirements. As a result, the Overleaf cloud platform is now fully available to the CERN Community. We first explain our user-centered approach, how it led us to a decision and why it was important to follow this approach. We then highlight the usage growth of Overleaf at CERN since its adoption and we finally look into the future of CERN Authoring.
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Choi, Jeong-Eun, Karla Schäfer, and York Yannikos. "Scientific Appearance in Telegram." Proceedings of the International AAAI Conference on Web and Social Media 18 (May 28, 2024): 2091–96. http://dx.doi.org/10.1609/icwsm.v18i1.31451.

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This paper examines the influence of scientific appearance (SA) on post dissemination and analyses a dataset of important actors in Germany, specifically those involved in the dissemination of disinformation on the social media platform Telegram. SA is identified through textual elements such as predefined keywords or digital object identifiers (DOIs). Characteristics and behaviours of actors with and without SA are compared using metadata such as forward counts and original posts. The additional content analysis provides insights into SA's usage and impact. The findings indicate that SA may influence the dissemination of posts and demonstrate how different methods can be applied for studying social media platforms.
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Altukhov, A. V., and S. A. Tishchenko. "Network Organizational Structure (a Scientific and Practical Review)." Economics and Management 26, no. 6 (2020): 613–18. http://dx.doi.org/10.35854/1998-1627-2020-6-613-618.

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The presented study reviews practically relevant research papers in the field of network structures, modern network business models and platforms.Aim. The study aims to elaborate and explain the concept of network structure and platform and to show the reasons for the progressiveness and potential of network organizational structure at the current stage of socio-economic and scientific development.Tasks. The authors highlight the main scientific ideas about network structures in business, including significant studies in this area; provide and explain the main terms and definitions and examine the key characteristics of network business structures; characterize “platforms” as an important concept for modern business and show the relationship between platforms and network structures.Methods. This study uses analysis of information and subsequent synthesis of new knowledge in the form of the authors’ conclusions and a wide range of relevant scientific publications of Russian and foreign authors, including original publications in English and French.Results. The history of network structures is briefly provided. Definitions and characteristics of such concepts as “network structure” and “platform” in relation to business are provided and explained by the authors.
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Si, Li, Yueting Li, Xiaozhe Zhuang, et al. "An empirical study on the performance evaluation of scientific data sharing platforms in China." Library Hi Tech 33, no. 2 (2015): 211–29. http://dx.doi.org/10.1108/lht-09-2014-0093.

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Purpose – The purpose of this paper is to conduct performance evaluation of eight main scientific data sharing platforms in China and find existing problems, thus providing reference for maximizing the value of scientific data and enhancing scientific research efficiency. Design/methodology/approach – First, the authors built an evaluation indicator system for the performance of scientific data sharing platforms. Next, the analytic hierarchy process was employed to set indicator weights. Then, the authors use experts grading method to give scored for each indicator and calculated the scoring results of the scientific data sharing platform performance evaluation. Finally, an analysis of the results was conducted. Findings – The performance evaluation of eight platforms is arranged by descending order by the value of F: the Data Sharing Infrastructure of Earth System Science (76.962), the Basic Science Data Sharing Center (76.595), the National Scientific Data Sharing Platform for Population and Health (71.577), the China Earthquake Data Center (66.296), the China Meteorological Data Sharing Service System (65.159), the National Agricultural Scientific Data Sharing Center (55.068), the Chinese Forestry Science Data Center (56.894) and the National Scientific Data Sharing & Service Network on Material Environmental Corrosion (Aging) (52.528). And some existing shortcomings such as the relevant policies and regulation, standards of data description and organization, data availability and the services should be improved. Originality/value – This paper is mainly discussing about the performance evaluation system covering operation management, data resource, platform function, service efficiency and influence of eight scientific data sharing centers and made comparative analysis. It reflected the reality development of scientific data sharing in China.
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Musto, Jiri, and Ajantha Dahanayake. "An Approach to Improve the Quality of User-Generated Content of Citizen Science Platforms." ISPRS International Journal of Geo-Information 10, no. 7 (2021): 434. http://dx.doi.org/10.3390/ijgi10070434.

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The quality of the user-generated content of citizen science platforms has been discussed widely among researchers. Content is categorized into data and information: data is content stored in a database of a citizen science platform, while information is context-dependent content generated by users. Understanding data and information quality characteristics and utilizing them during design improves citizen science platforms’ overall quality. This research investigates the integration of data and information quality characteristics into a citizen science platform for collecting information from the general public with no scientific training in the area where content is collected. The primary goal is to provide a framework for selecting and integrating data and information quality characteristics into the design for improving the content quality on platforms. The design and implementation of a citizen science platform that collects walking path conditions are presented, and the resulting implication is evaluated. The results show that the platform’s content quality can be improved by introducing quality characteristics during the design stage of the citizen science platform.
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LARSSON, O., M. FEIG, and L. JOHNSSON. "SOME METACOMPUTING EXPERIENCES FOR SCIENTIFIC APPLICATIONS." Parallel Processing Letters 09, no. 02 (1999): 243–52. http://dx.doi.org/10.1142/s0129626499000232.

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We demonstrate good metacomputing efficiency and portability for three typical large-scale parallel applications; one molecular dynamics code and two electromagnetics codes. The codes were developed for distributed memory parallel platforms using Fortran77 or Fortran90 with MPI. The performance measurements were made for a testbed of two IBM SPs connected through the vBNS. No change of the application codes were required for correct execution of the codes on the testbed using the Globus Toolkit for the required metacomputing services. However, we observe that for good performance, it may be necessary for MPI codes to make use of overlapped computation and communication. For such MPI codes, a communications library designed for hierarchical or clustered communication can yield very good metacomputing efficiencies when high-performance networks, such as the vBNS or the Abilene networks, such as the vBNS or the Abilene networks, are used for platform connectivity. We demonstrate this by inserting a thin layer between the MPI application and the MPI libraries, providing some clustering of communications between platforms.
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Chvanova, Marina S., Irina A. Kiseleva, and Maria S. Anurieva. "Digital platforms for interaction and management of the innovation and educational process of the university of naukograd." Perspectives of Science and Education 61, no. 1 (2023): 727–39. http://dx.doi.org/10.32744/pse.2023.1.43.

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Introduction. Currently, the problem of the development of science cities and other facilities with a high concentration of scientific and technical potential as an integral part of the national innovation system is urgent. There is a need to train scientific personnel focused on the generation of new ideas, technology transfer and the creation of startups in the field of breakthrough technologies. The purpose of the study is to analyze digital platforms in the information and educational space to solve the problem of effective interaction and management of the innovation and educational process of universities in the science city with research institutes and the business community. Materials and methods. To analyze the existing digital platforms, the method of analyzing the information resources of the Internet was used. In order to accumulate a sufficient amount of material for the analysis of digital platforms, a descriptive method was used. The classification method made it possible to systematize digital platforms, improve the quality of the conducted research by structuring and systematizing the information received. The method of comparative analysis made it possible to identify common features and positive features of individual platforms, in order to further discuss the possibility of continuity of positive experience. Results. The following platforms were taken for analysis: Digital Futures, a platform for researchers at the University of Manchester (UK); Crowdsourcing network platform InnoCentive (USA); Trello team and project management service; ITMO accelerator. The relevance of the research topic is due to the need to study the features, mechanisms of interaction based on the considered technologies in order to determine the criteria and requirements for digital platforms. As a result of the study, a comparative analysis of digital platforms for the interaction of science city universities with research institutes and the business community is presented, taking into account the following criteria: the purpose of the platform, the result of activities on the platform, groups of participants, platform functions, and the structure of the digital platform. Discussion and Conclusion. The presented analysis of digital platforms made it possible to identify the classes of modern digital platforms, to determine the requirements for the development of this type of platforms, to substantiate the conceptual approaches to the development of the University of science city as an innovative scientific and educational platform.
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Gorbunova, A. S., I. I. Zassoursky, and N. D. Trishchenko. "Compliance of New Scientific Platforms with Formal Requirements for Scientific Publications." Scholarly Research and Information 3, no. 2-3 (2020): 207–18. http://dx.doi.org/10.24108/2658-3143-2020-3-2-3-207-218.

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Lin, Yufan. "The Construction of University Scientific Research Supervision Platform under the View of Data Middle Platform." Journal of Social Science Studies 11, no. 1 (2024): 120. http://dx.doi.org/10.5296/jsss.v11i1.21883.

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The system platform of colleges and universities has been developed from the informatization perspective based on data sharing via the reshaping of new content and the creation of technological architecture. The creation of the University Scientific Research Supervision Platform based on the Data Middle Platform attempts to analyze and address the issues above from the data sharing and service level perspective. These issues include Complicated scientific research fund reimbursement, Historical data hoarding, Late supervision & early warning, Slow system data update, Risk of data leakage, and Inconsistent inter-departmental data. The platform's technological architecture has transformed from a straightforward stacking of business processes to one that allows for the sharing and interchange system data. The solutions include:●Data sharing policies.●Managing data dictionaries.●Organizing historical data.●Integrating platforms.●Optimizing analytical functions.●Ensuring data security, among others.
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Zhang, Fan. "Characterizing Scientific Applications on Virtualized Cloud Platforms." Qatar Foundation Annual Research Forum Proceedings, no. 2011 (November 2011): CSP26. http://dx.doi.org/10.5339/qfarf.2011.csp26.

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McLaughlin, H. E., and J. S. Hendricks. "Performance of Scientific Computing Platforms with MCNP4B." Nuclear Science and Engineering 129, no. 3 (1998): 311–19. http://dx.doi.org/10.13182/nse98-a1985.

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Moreno, G., L. Dagorn, M. Capello, et al. "Fish aggregating devices (FADs) as scientific platforms." Fisheries Research 178 (June 2016): 122–29. http://dx.doi.org/10.1016/j.fishres.2015.09.021.

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Melvin, Gary D., François Gerlotto, Carolina Lang, and Pedro Trillo. "Fishing vessels as scientific platforms: An introduction." Fisheries Research 178 (June 2016): 1–3. http://dx.doi.org/10.1016/j.fishres.2016.02.022.

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Alcalá, Francisco J., Jaime Martínez-Valderrama, Francisco Gomáriz-Castillo, Carlos G. Hernández, and José M. Cecilia. "Scientific Programming Tools for Water Management." Scientific Programming 2021 (July 10, 2021): 1–3. http://dx.doi.org/10.1155/2021/9828596.

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This special issue delivers a platform in which researchers expose intersections between algorithm design, software platforms, and hardware architectures to deal with emerging challenges in the scientific field of management of water and water-dependent resources. Since the call for papers was announced in June 2019, this special issue has received 10 manuscripts. After a rigorous review process, 6 papers have been finally accepted for publication. Published papers deal with groundwater quality monitoring, coastal groundwater-dependent irrigation agriculture, desertification risk, water recovery from tailings, future scenarios of water resources, and vulnerability of coastal aquifers.
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Shved, Vadym V. "АНАЛІЗ ПРАКТИКИ ВИКОРИСТАННЯ НАУКОМЕТРИЧНИХ ПЛАТФОРМ В УКРАЇНІ". Information Technologies and Learning Tools 69, № 1 (2019): 235. http://dx.doi.org/10.33407/itlt.v69i1.2396.

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The article is devoted to the consideration of key scientometric platforms, which are widely used in Ukraine. The practice of application of such platforms as Web of Science, Scopus, Google Scholar, Russian index of scientific citation, Index Copernicus, Journal's International Compliance Index, Ukrainian index of scientific citation, "Scientists of Ukraine" is analyzed. Key parametric tools that the above-mentioned platforms use to determine proposed scientometric indicators are identified and critically analyzed. In particular, attention is paid to the possibilities of evaluating the Hirsch-index for ranking scientific publications on the importance and value. The key shortcomings inherent in the Hirsch-index are revealed. Also, the practice of using the impact factor for assessing the quality of scientific publications is considered. Advantages and disadvantages of the practice of using these scientometric platforms for assessing the quality of the publication activity of institutions, publications and scientists are being studied. The key strengths and weaknesses of Web of Science, Scopus and Google Scholar have been identified. The possibility of using along with the above science-based platforms and such as: the Russian index of scientific citation and the Journal's International Compliance Index is being proved. The incorrectness of using the Index Copernicus platform for assessing the quality of scientific work and the inadequacy of the tools of the Ukrainian Index of Scientific Citation to the evaluation of the quality of scientific and publishing activity are justified. The inconsistency of using scientometric tools exclusively for assessing the quality of scientific work is being proved. The necessity of transforming the practice of assessing the quality of science through the prism of scientometric indicators, by changing the editorial policy (DORA) and the introduction of new parametric tools (R-factor) with another philosophy for the evaluation of scientific works is substantiated.
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Dosenko, Angelica. "COMMUNICATION PLATFORMS: A MODER VISION." Social Communications: Theory and Practice 12, no. 1 (2021): 98–106. http://dx.doi.org/10.51423/2524-0471-2021-12-1-4.

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The aim.Тhere is a theoretical justification for the phenomenon of «Communication Platform».Theapplied social and communication technologies there is a layering of terminological apparatus: classification and identification of terms and theoretical and methodological basis. One of such phenomena is the development of communication platforms, which are separated into an independent definition and depart from Internet platforms and social networks. It is important to study the development of platforming as a process of forming platforms of different types and cluster formation.Research methods.The method of theoretical analysis is used to study the existing points of view and clearly derive the definition of «communication platform».A method of comparison to derive the author's vision of the existence and functioning of the characteristics of the definition of «Communication Platform»and distinguish it from other types of platforms.The method of sociological survey contributed to the practical vision of the communication platform as an independent unit that is able to raise socially important issues and help solve difficult issues.The resultsof the study showed the difference between the terms «Social Networks»and "Communication Platform". There is a classification of platforms, the difference between them. The own vision of the terminological unit is given. This approach demonstrated the need for further scientific study of the phenomenon, the need to unify the approach to the description of platforming as a process in applied social and communication technologies.Social networks as a communication unit are considered in detail, the features that distinguish platforms and social networks are described.The conclusionsemphasize the further need to study communication platforms as applied scientific units. The definition of the phenomenon taking into account the author's vision is offered. Emphasis is placed on the features inherent in communication platforms.
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Tsurkan, Evgenii G. "Scientific Progress, Rationality and Interdisciplinarity." Epistemology & Philosophy of Science 60, no. 2 (2023): 65–71. http://dx.doi.org/10.5840/eps202360224.

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The critical remark within the framework of the panel discussion problematizes three provisions of the article proposed for discussion. The first is the dual nature of the concept of “scientific progress”, which is both descriptive and normative. The remark criticizes the descriptive understanding of scientific progress and argues for the adequacy of the description of this concept exclusively in a normative way. The second provision concerns the possibility of accepting “rationality” as a universal criterion for scientific progress. The doubt about the applicability of this criterion to the assessment of the achievements of scientific knowledge in general is asserted and substantiated, at the same time, the application of this criterion to particular sciences seems possible. The third provision is the uniqueness of the historical situation in which science found itself at the end of the XX century, when disciplinary separation becomes an obstacle to the study of complex objects. The uniqueness of this historical situation is disputed, as an alternative view it is argued that the attitude to the phenomenon of specialization of science from the moment of its appearance was ambivalent. Separately, the need to consider the extensive historical experience of creating various epistemological platforms to overcome disciplinary separation is stipulated. A proposal is made to further study and clarification of the possible advantages of French historical epistemology as a platform for the formation of new interdisciplinary areas of research over competing platforms (ANT, STS, strong programme of SSK).
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Love, Milton S. "Fishes and invertebrates of oil and gas platforms off California: an introduction and summary." Bulletin of Marine Science 95, no. 4 (2019): 463–76. http://dx.doi.org/10.5343/bms.2019.0043.

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This paper serves as an introduction to a symposium on the role that California oil and gas platforms serve as habitats for fishes and invertebrates. As of 2019, there are 27 platforms in state and federal waters off California, and the decommissioning of some of these platforms is imminent. Thus, consideration of whether to completely remove a platform or cut it off at some depth below the sea surface and retain the submerged portion as a reef is a decision that will occur in the near future. The objectives of the 10 papers in this dedicated issue of the Bulletin of Marine Science are to: (1) increase scientific understanding of the inter- and intrarelationships of fish and invertebrate populations at offshore oil and gas platforms and natural reefs within the Southern California Bight; (2) determine the extent of influence of platform assemblages on southern California and the Pacific coast populations of fishes and invertebrates; and (3) synthesize relevant reports, existing peer-reviewed literature, and new data analyses into a single peer-reviewed reference. This introductory paper contains a synopsis of all extant California platforms including information on: (1) the original operator, (2) the current operator of records, (3) the date the platform was installed, (4) the first production date, (5) the platform's distance from shore [including whether it is state or outer continental shelf (OCS) waters], (6) the bottom depth of the platform, (7) the number of well slots, (8) the number of conductors, (9) what the platform produces (oil and/or gas), (10) the platform jacket dimensions [generally at the seafloor (bottom)], (11) the platform's footprint, (12) the midwater surface area, (13) the total removal weight, (14) the platform location, (15) the shell mound size, (16) the shell mound volume, (17) the shell mound height, (18) the center of the shell mound location, and (19) the bottom slope. In addition, we present an overview of all previous research on the biology and ecology of California platform organisms.
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Yong, Wang, and Zhang Yaohui. "Development Status and Countermeasures of Innovation and Entrepreneurship Service Platform in China's Universities." Tobacco Regulatory Science 7, no. 6 (2021): 6180–89. http://dx.doi.org/10.18001/trs.7.6.95.

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Innovation and entrepreneurship service platforms in colleges and universities bear the dual responsibility of education on and support for innovation and entrepreneurship. However, at present, they are confronted with such problems as insufficient government policy publicity, insignificant transformation effect of scientific research achievements, fragile business environment, and weak financing function. To continue to advance the construction of innovation and entrepreneurship service platform for college students, it is necessary to improve the government environment of those platforms within colleges and universities, build the service platform based on the transformation of teachers’ scientific research achievements, enhance the business environment for college students’ innovation and entrepreneurship, and promote the financing capacity of colleges’ incubators.
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Carvalho, José, Susana Costa, and Eloy Rodrigues. "PUB In: publicações Integradas, Inteligentes e Inovadoras." Páginas a&b : Arquivos & Bibliotecas, esp. (2020): 38–44. http://dx.doi.org/10.21747/21836671/pagnespc5.

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This proposal presents the PUB In project, developed by the University of Minho (UM) in collaboration with the National Scientific Computing Unit of the Foundation for Science and Technology (FCT/FCCN). PUB In emerged to improve the current state of scientific publication, characterized by vertical management in terms of the provision of editorial services (scientific journals), insufficient interoperability among themselves and with other editorial management platforms, obsolescence of platforms in use and skills deficit editorial management. PUB In is an integrated platform to support scientific publication nationwide to simplify and modernize the management of the editorial life cycle of scientific journals with benefits for all participants. It also intends to simplify the management process of these journals in the various magazine directories in order to make coherent and maximize the presence of Portuguese scientific journals on the Internet and in specialized indexes.
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Tereshchenko, Lyudmila. "Digital Platforms As a New Interaction Environment: Review of the Scientific and Practical Seminar and Results of the Expert Survey." Journal of Russian Law 28, no. 7 (2024): 161. http://dx.doi.org/10.61205/s160565900030930-7.

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The article provides an overview of the scientific and practical seminar “Digital platforms as a new interaction environment” held on April 23, 2024 at the Institute of Legislation and Comparative Law under the Government of the Russian Federation and the results of the expert survey. The seminar was attended by representatives of Institute of Legislation and Comparative Law under the Government of the Russian Federation, Kutafin Moscow State Law University, National Research University “Higher School of Economics”, Lomonosov Moscow State University, Plekhanov Russian University of Economics, Siberian Federal University, National University of Oil and Gas “Gubkin University” and others. The presentations of the seminar participants are systematized according to the most relevant thematic blocks related to the functioning of digital platforms: general issues of legal regulation of digital platforms; the impact of digital platforms on human rights; digital platforms in public administration; digital platforms in private law, criminal law and other spheres. The following legal issues are highlighted: the essence of the digital platform from the perspective of law; the impact of digital platforms on the economy, public administration, human rights and changes in their scope and content; risks arising from the activities of digital platforms; digital platforms and antitrust regulation; network effect in the activities of digital platforms; labor relations using digital platforms; protection of labor rights and digital platforms; the risk of discrimination related to the activities of digital platforms.
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Zhang, Guangsi, Chen Chen, Jiaping Xie, and Qiang Hu. "Analysis of government subsidy strategies in the supply chain of science and technology innovation platform." PLOS One 20, no. 5 (2025): e0323627. https://doi.org/10.1371/journal.pone.0323627.

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In the current era of technological advancements and intense global competition, innovation in Science and Technology (S&T) has become a crucial aspect of every country’s development strategy, and the development of cutting-edge technologies in core areas is of utmost importance. Innovation platforms that offer services for core technologies can be classified into three operational models: Public Welfare Platforms, Social Enterprise Platforms, and Commercial Platforms, depending on their objectives. To accelerate the realization of S&T innovation, the government provides subsidies to guide the S&T innovation platform and increase the participation of innovation subjects. With the help of optimization theory and supply chain theory, this paper constructed a model employing the game approach to delve into the pricing strategies of S&T platforms under three distinct models: Public Welfare Platform, Social Enterprise Platform, and Commercial Platform. The paper also discusses the effects of government subsidies on different innovation subjects. The study demonstrates that all three operational models can achieve the optimal membership fee for research users and the optimal commission rebate paid by the platform to resource providers. In the context of the Public Welfare Platform, despite the highest social welfare, the platform’s profit remains negative. Consequently, price subsidies are required for research users. At this juncture, the government subsidies to the S&T innovation platform yield the greatest social welfare yet the lowest profit for the platform. In contrast, the Social Enterprise Platform entails government subsidies for resource providers and research users, which can enhance the platform’s profit. The effect of subsidizing the resource providers on the profit growth of the S&T innovation platform is more significant than the effect on the improvement of social welfare. In the context of the Commercial Platform, regardless of the existence of government subsidies, the growth of social welfare and platform profits with the platform service level can be achieved. Furthermore, government subsidies for scientific research users are the most effective. These results provide theoretical and practical lessons for the pricing of the S&T innovation platform and the subject of government subsidies.
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Schäfer, Mike S., Julia Metag, Jessica Feustle, and Livia Herzog. "Selling science 2.0: What scientific projects receive crowdfunding online?" Public Understanding of Science 27, no. 5 (2016): 496–514. http://dx.doi.org/10.1177/0963662516668771.

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Crowdfunding has emerged as an additional source for financing research in recent years. The study at hand identifies and tests explanatory factors influencing the success of scientific crowdfunding projects by drawing on news value theory, the “reputation signaling” approach, and economic theories of online payment. A standardized content analysis of 371 projects on English- and German-language platforms reveals that each theory provides factors influencing crowdfunding success. It shows that projects presented on science-only crowdfunding platforms have a higher success rate. At the same time, projects are more likely to be successful if their presentation includes visualizations and humor, the lower their targeted funding is, the less personal data potential donors have to relinquish and the more interaction between researchers and donors is possible. This suggests that after donors decide to visit a scientific crowdfunding platform, factors unrelated to science matter more for subsequent funding decisions, raising questions about the potential and implications of crowdfunding science.
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Ibragimova, Jamilya Malikovna, and Oleg Magomedovich Aliev. "ANALYSIS OF ARTIFICIAL INTELLIGENCE PLATFORMS AND TOOLS IN EDUCATION." Scientific Review: Theory and Practice 14, no. 10 (2024): 1999–2010. https://doi.org/10.35679/2226-0226-2024-14-10-1999-2010.

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The article presents the results of the conducted analysis of the functional capabilities and features of existing educational platforms. The purpose of the study is to identify problems in the development of educational platforms and offer possible solutions; to determine the main categories of application of artificial intelligence in education to take into account when developing the functionality and interface design of the educational platform. The research methodology is general scientific approaches and methods, analysis of research and scientific literature, comparative contextual analysis of educational platforms, both Russian and foreign. The websites of seven Russian competitors were studied. It was determined that the functionality of the platforms and offers are very similar to each other, but differ in the cost of use, availability and conditions of the affiliate network, as well as some features that provide additional value to the user. It is shown that artificial intelligence technologies are actively entering our lives and, likely, in the future will largely determine the development of the economy, business and society. At the same time, human interaction with artificial intelligence in the workplace can logically be considered at three semantic levels: as a subordinate, as an equal partner capable of performing organizational functions. As for the use of AI, this tool has not yet been implemented on the Russian platforms studied. Therefore, several foreign platforms were considered to analyze potential opportunities and form a competitive advantage. As a result of the analysis of educational platforms with artificial intelligence, four technological solutions were identified that can be applied to one's own platform. To solve problems in developing the platform, possible solutions were proposed that the educational platform should include.
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Corvello, Vincenzo, Maria Cristina Chimenti, Carlo Giglio, and Saverino Verteramo. "An Investigation on the Use by Academic Researchers of Knowledge from Scientific Social Networking Sites." Sustainability 12, no. 22 (2020): 9732. http://dx.doi.org/10.3390/su12229732.

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Scientific social networking sites like ResearchGate or Academia.edu have become part of the work practice of academic researchers. These digital platforms have been designed precisely to encourage the exchange of knowledge between scholars and to help the expansion of collaborative networks among them. Even if studies on this topic have multiplied in recent years, there is a dearth of research on the actual impact of these platforms on scientific production. The goal of this study is to investigate the relationship between the attitude of researchers towards scientific social networks and the use of knowledge in their scientific work. Data from users of the scientific social networking site ResearchGate were collected. A total of 143 valid responses were received and structural equation modeling was applied for data analysis. Findings of this study confirmed that researchers use knowledge obtained from scientific social networking sites both incorporating it within their research products and to acquire new competences. In particular approaching the platform as a scientific community with a shared language and a shared vision was found to have a positive impact on knowledge use. To the best knowledge of the authors this is the first study investigating the actual use of knowledge from scientific social networking sites by academic researchers. Results help us to understand the impact of these platforms on the work practice of a strategic sector like scientific research.
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Barać, Milica, Nikola Vitković, Zorana Stanković, Milena Rajić, and Rajko Turudija. "Description and Utilization of an Educational Platform for Clean Production in Mechanical Engineering." Spectrum of Mechanical Engineering and Operational Research 1, no. 1 (2024): 145–58. http://dx.doi.org/10.31181/smeor11202413.

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This study introduces a novel educational mentoring platform that emphasises clean manufacturing techniques and is intended to support engineering education and mentorship. The mentoring platform provides practical, project-based learning opportunities in an educational environment. The platform's foundation lies in a mentoring approach through conducting sessions and defined projects. This paper will outline the primary components of a new educational mentoring platform and highlight some of its most important use cases. The mentoring platform enables the creation of programs like the Sustainable Manufacturing Innovation Program, which is showcased in this paper, equipping students with the knowledge to enhance sustainability in mechanical engineering and foster cleaner production startups. The paper briefly overviews the Novel Educational Methodology (NEM) integrated into an e-learning platform for personalized and adaptive learning materials and courses. The combined use of e-learning and mentoring platforms represents a comprehensive educational system, enhancing developmental outcomes while promoting and achieving clean production practices. Both platforms, e-learning and mentoring, are highly adaptable, facilitating the creation of diverse online course materials and mentoring programs across various scientific disciplines.
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M., Chorna, and Petlenko K. "DIGITAL PLATFORMS IN THE ECONOMY: MODERN TRENDS AND DIRECTIONS OF DEVELOPMENT." ECONOMIC STRATEGY AND PROSPECTS OF TRADE AND SERVICES SECTOR DEVELOPMENT 1 (29) (June 26, 2019): 50–60. https://doi.org/10.5281/zenodo.3257350.

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<em>This platform is one of the most economical and social activities facilitated by platforms. Such platforms are typically online matchmakers or technology frameworks. By far the most common type are &quot;transaction platforms&quot;, also known as &quot;digital matchmakers&quot;. Examples of transaction platforms include Amazon, Airbnb, Uber and Baidu. A second type is the &quot;innovation platform&quot;, which provides a common technology framework for how to build it.</em> <em>Also known as the digital platform or online platform economy, the platform economy is economic and social activity facilitated by platforms. Such activity is wider than commercial transactions, including for example online collaboration on such projects as Wikipedia. While scholarship on platforms sometimes includes discussion of non digital platforms, the term &quot;platform economy&quot; is often used in a sense that encompasses only online platforms.</em> <em>In article tendencies and the directions of digital platforms development in the world practice are considered.</em><em> </em><em>Methods of the scientific analysis such as historical and logical approach, comparative analysis and generalization were the methodological basis of the research. Results of the research can be used by the relevant public authorities or company executives during the digital agenda development. In the course of the research benefits and tendencies of digital platforms in the world economy were revealed, the tools for stimulating digital platforms development in the world economy are defined.&nbsp;</em> <em>Based on </em><em>the </em><em>analysis of ten largest public Internet companies on the criterion of market capitalization, the process of emergence and detachment of platform economy from the digital economy is considered. The essence is shown and definitions of platform economy and online platform are formulated. The basic principles of functioning of the platform economy, allowing to create open, electronic ecosystems with a lot of users, are revealed.</em>
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Diao, Feng, Tianyu Liu, Franck Aurel Likeufack Mdemaya, and Gang Xu. "Study on the Prediction of Motion Response of Offshore Platforms Based on ResCNN-LSTM." Journal of Marine Science and Engineering 12, no. 10 (2024): 1869. http://dx.doi.org/10.3390/jmse12101869.

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In the random sea environment, offshore platforms are influenced by factors such as wind, waves, and currents, as well as their interactions, leading to complex motion phenomena that affect the safety of offshore platform operations. Consequently, accurately predicting the motion response of offshore platforms has long been a key focus in the fields of naval architecture and ocean engineering. This paper utilizes STAR-CCM+ to simulate time-history data of offshore platform motion responses under both regular and irregular waves. Furthermore, a predictive model combining residual convolutional neural networks and long short-term memory neural networks using neural network technology is also studied. This model utilizes an autoregressive approach to predict the motion responses of offshore platforms, with its predictive accuracy validated through comprehensive evaluations. Under regular wave conditions, the coefficient of determination (R2) for the platform’s heave and pitch responses consistently exceeds 0.99. Meanwhile, under irregular wave conditions, the R2 values remain generally above 0.4. Additionally, the model exhibits commendable performance in terms of Mean Squared Error (MSE) and Mean Absolute Percentage Error (MAPE) metrics. The aim of this study is to present a novel approach to predicting offshore platform motion responses, while providing a more scientific basis for decision-making in offshore platform operations.
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A’thi Fauzani Wisudawati, Dian Palupi, and Jannatul Laily Noviabahari. "Getting Ready To Conduct Scientific Writing: Academic Search Engine As Personal Learning Environment (PLE) Assistance." Bhinneka: Jurnal Bintang Pendidikan dan Bahasa 1, no. 2 (2023): 97–109. http://dx.doi.org/10.59024/bhinneka.v1i2.285.

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At the point when the students are assessed, they are demanded to work to publish scientific writing. This study investigates the process of constructing scientific writing as well as the academic search engine that is frequently used by graduate students in building their papers. Later on, this study also discloses the factor of using repeated platforms. A personal learning environment helps the students to connect both inside and outside the classroom learning by employing digital tools. This paper presents a case study exploring the steps of conducting scientific writing, the academic search engine mostly used by students, and the factors in deciding the platform. Eighteen graduate students majoring in the English education department were the participants of this study. The data was collected through class observation, questionnaires, and semi-structured interviews. The result shows several steps to construct scientific writing including readiness, composing the article, getting ready for publication, distribution, and development. While Google Scholar (100%), Web of Science (94.7%), and online library (63.2%) are the top three online platforms as the academic search engine they used to search for references to build arguments for their scientific writing. Some factors why those platforms become highly beneficial are exposed by the participants such as their pertinence, reference quality, and publication impact. This study is expected to provide certain considerations for students or scholars about utilizing several online platforms and some reasons behind which is beneficial to build scientific writing publications.
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Bouabdallaoui, Ibrahim. "Impact of the Internet finance on Small and Medium Enterprises Financing under Big Data evolution." International Journal of Financial Studies, Economics and Management 1, no. 1 (2022): 48–54. http://dx.doi.org/10.61549/ijfsem.v1i1.38.

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Internet financial model innovation is mainly reflected in big data Internet financial companies, third-party payment platforms, Peer-to-Peer Internet lending platforms, crowdfunding Internet financing platforms, etc. platform and Internet financial portal platform. The impact of Internet finance on the financing of Small and medium-sized enterprises is mainly reflected in four aspects: that is, the mechanism of reversal of traditional financial institutions; the financing objects of Small and medium-sized enterprises More comprehensive and scientific; financing services for Small and medium-sized enterprises are more targeted; financing costs for Small and medium-sized enterprises have dropped significantly.
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41

Muyassaroh, Izzah, Rosiana Mufliva, Tatat Hartati, et al. "Dissemination of the Media and Platforms Use to Strengthen Scientific Literacy in the Merdeka Curriculum Implementation in Elementary Schools." Dinamisia : Jurnal Pengabdian Kepada Masyarakat 8, no. 4 (2024): 1275–87. http://dx.doi.org/10.31849/dinamisia.v8i4.16225.

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Abstract Media and platforms are important components of scientific literacy learning in implementing the Merdeka curriculum in elementary schools. This community service activity aims to disseminate the use of media and platforms to strengthen scientific literacy in implementing the independent curriculum in elementary schools. The method used is socialization, which includes several stages: identifying problems and needs, determining training topics, and evaluating. This activity was attended by 60 teachers in Kuningan Regency. In terms of process, the implementation of community service was conducive at both the online and offline stages of implementing activities. Participants were very enthusiastic about participating in question-and-answer activities, practices, and presentations on media use. All participants developed learning media and presented it in front of other participants. The success of implementing this community service is assessed from the implementation process and the output, where there is an increase in teacher understanding regarding scientific literacy and the use of media and platforms to strengthen scientific literacy skills. Keywords: science literacy media and platforms, merdeka curriculum, elementary schools Abstrak Media dan platform merupakan komponen penting pembelajaran literasi sains dalam implementasi kurikulum merdeka di sekolah dasar. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk mendiseminasikan penggunaan media dan platform penguatan literasi sains dalam implementasi kurikulum merdeka di sekolah dasar. Metode yang digunakan dalam kegiatan pengabdian ini yaitu sosialisasi mencakup beberapa tahapan yaitu identifikasi permasalahan dan kebutuhan, penentuan topik pelatihan, dan evaluasi. Kegiatan ini diikuti oleh 60 guru di Kabupaten Kuningan. Dari segi proses, pelaksanaan kegiatan pengabdian berlangsung kondusif dan lancar baik pada tahap pelaksanaan kegiatan daring maupun luring. Peserta sangat antusias berpartisipasi dalam kegiatan tanya jawab, praktik, dan presentasi penggunaan media. Semua peserta turut andil dalam mengembangkan media pembelajaran dan mempresentasikannya di depan peserta yang lain. Keberhasilan pelaksanaan pengabdian kepada masyarakat ini selain dinilai dari proses pelaksanaan juga dinilai dari output pengabdian dimana adanya peningkatan pemahaman guru terkait literasi sains serta penggunaan media maupun platform penguatan kemampuan literasi sains. Kata kunci: media dan platform literasi sains, kurikulum merdeka, sekolah dasar
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Akberdina, Victoria V., Elena V. Kozonogova, and Yulia V. Dubrovskaya. "Digital platforms for regional economic research: a review and methodology proposal." R-Economy 9, no. 1 (2023): 52–72. http://dx.doi.org/10.15826/recon.2023.9.1.004.

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Relevance. This article addresses the need for a comprehensive approach to the analysis of socio-economic data on territorial units. The existing statistical observation system provides a vast amount of data on the socio-economic development of countries, macro-regions, sub-regions, and municipalities. Despite the wealth of data available, research efforts often remain narrowly focused on specific scientific tasks. In the field of regional economy, many research methods have been developed, but there are almost no approaches to the combined use of these methods. Digital research platforms can solve these problems by providing a mechanism for complex analysis of data. Research objective. This study aims is to examine the essence of platformization in scientific research and to present a detailed overview of the functionality of existing digital research platforms on regional and spatial development to substantiate the methodology of distributed regional research. The authors examine and systematize the features of 40 digital platforms worldwide that are related to regional research, using methods such as comparative analysis, extended case method, and cross-case analysis. Data and methods. The authors examine and systematize the features of 40 digital platforms worldwide that are related to regional research by using methods such as comparative analysis, extended case method, and cross-case analysis. Results. The proposed methodology includes a system of criteria and a typology that includes five main types of platforms for regional research: information and communication platforms, distributed work and data storage platforms, service platforms, computing platforms, and transaction platforms. These types are described and their advantages and disadvantages are highlighted. Conclusions. Digital platforms should become the key form of organizing scientific research in the field of regional economics, as they allow for a comprehensive analysis of socio-economic data and scenario experiments on the "digital twins" of regions. The study proposes a general methodology for conducting distributed regional studies. This methodology provided a foundation for RegScienceGRID platform. Overall, this study highlights the potential of digital research platforms in regional studies and provides a useful methodology for evaluating and utilizing these platforms.
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Budi Santoso, Agustinus Budi Santoso, and Eko Siswanto. "DEEP LEARNING ALGORITHM FOR CONNECTING SCIENTIFIC RECORDS AND SOCIAL PLATFORM." Journal of Engineering, Electrical and Informatics 2, no. 2 (2022): 23–37. http://dx.doi.org/10.55606/jeei.v2i3.913.

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In the healthcare industry, professionals develop big amounts of disorganized data. The complexity of this data and the loss of computational capability lead to delays in the investigation. Nevertheless, with the advent of Deep Learning algorithms and connection to computing power such as Graphic Processor Units (GPUs) and Tensor Processing Units (TPUs), text and image processing has become usable. Deep Learning (DL) data bring about a big outcome in Natural Language Processing (NLP) and computer perception. The main purpose of this study is to build an undivided approach that can relate social platforms, literature, and scientific records to develop an approach to medicinal education for the public and experts.&#x0D; This study focuses on NLP in the healthcare industry and compiles data by Electronic Medical Records (EMR), medical literature, and social platforms. The framework proposed in this study is one for connecting social platforms, medical literature, and Electronic Medical Records scientific records using Deep Learning algorithms. Linking data sources requires defining the relationships between them, and finding concepts in medical texts. The National Library of Medicine (NLM) introduced the Unified Medical Language System (UMLS) and uses this system as the basis for the proposed system. The dynamic nature of a social platform can be recognized and supervised methodologies can be applied under supervision to develop conception. Named entity Recognition (NER) enables the active eradication of data or individuals by the pharmaceutical literature.
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Budi Santoso, Agustinus Budi Santoso, and Eko Siswanto. "DEEP LEARNING ALGORITHM FOR CONNECTING SCIENTIFIC RECORDS AND SOCIAL PLATFORM." Journal of Engineering, Electrical and Informatics 2, no. 2 (2022): 23–37. http://dx.doi.org/10.55606/jeei.v2i2.913.

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In the healthcare industry, professionals develop big amounts of disorganized data. The complexity of this data and the loss of computational capability lead to delays in the investigation. Nevertheless, with the advent of Deep Learning algorithms and connection to computing power such as Graphic Processor Units (GPUs) and Tensor Processing Units (TPUs), text and image processing has become usable. Deep Learning (DL) data bring about a big outcome in Natural Language Processing (NLP) and computer perception. The main purpose of this study is to build an undivided approach that can relate social platforms, literature, and scientific records to develop an approach to medicinal education for the public and experts.&#x0D; This study focuses on NLP in the healthcare industry and compiles data by Electronic Medical Records (EMR), medical literature, and social platforms. The framework proposed in this study is one for connecting social platforms, medical literature, and Electronic Medical Records scientific records using Deep Learning algorithms. Linking data sources requires defining the relationships between them, and finding concepts in medical texts. The National Library of Medicine (NLM) introduced the Unified Medical Language System (UMLS) and uses this system as the basis for the proposed system. The dynamic nature of a social platform can be recognized and supervised methodologies can be applied under supervision to develop conception. Named entity Recognition (NER) enables the active eradication of data or individuals by the pharmaceutical literature.
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Kokhan, Veronika. "Digital platform as a digital economy tool." Law and innovations, no. 1 (33) (April 5, 2021): 29–34. http://dx.doi.org/10.37772/2518-1718-2021-1(33)-4.

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Problem setting. Digital platforms ensure the digital activity of state bodies and business. They are tools for the digital transformation of socio-economic systems at all levels that implement network management. The functioning of digital platforms is not limited by borders, they can work anywhere. Now the digital platform has become a separate object of legal regulation, which has its own peculiarities and needs to be regulated by law. Analysis of recent researches and publications. Digital platforms are studied in the scientific works of Sichkarenko K. O., Lyashenko V. I., Vyshnevsky O. S., Yarmolenko Yu. O. Target of research. The purpose of the article is to provide a definition of the term “digital platform”, to describe the models of legal regulation of digital platforms, to identify the main problems connected with digital platforms maintaining. Article’s main body. The definitions of «digital platform», that are available in the scientific literature, contain primarily technological characteristics of this phenomenon, while we are interested in the legal features of digital platforms. From the law point of view, a digital platform should be defined as software or software and hardware that provides third parties access to the digital environment, ensures interaction and other activities between participators in order to develop their software or sell their products, works or services. Depending on the type (private or public), digital platforms have differences in legal regulation. A commercial model of legal regulation characterizes private digital platforms. State digital platforms are regulated because of a centralized model of legal regulation. The commercial platform is established by a legal act of a private company. The founder independently solves the basic questions of functioning of a platform. The activity of the platform is carried out on the basis of the acts of the founder, which are joined by all other participants who intend to use the platform. The state bodies establish public (state) digital platforms. The functioning of such a platform is determined by the law regulations of the state of the appropriate level. An authorized state body (platform operator) manages the digital platform. The activity of state digital platforms is limited to the territory of the state. The state digital platform is not for profit, unlike private ones, as it is created in order to increase the efficiency of public services through digitizing the processes of interaction with their consumers. No full-fledged state digital platforms have been created in Ukraine. Legal regulation of digital platforms should be aimed at solving the following problems: collection, processing and storage of big data; storage of personal data of platform users, trade secrets of legal entities; providing user access to the digital platform and non-discrimination in this area; employment regulation through the use of digital platforms; problems of competitiveness and monopoly in the business environment; taxation of the activity of the digital platform operator and the activity of its participants who sell goods or provide services. Conclusions and prospects for the development. The complex nature of the relations that arise within the functioning of digital platforms determines the complexity of the legal regulation of this object, as the activities of digital platforms affect both public (financial, tax) and private law (civil, commercial, labor). This means that the development of the digital economy requires radical changes in the general approaches to the legal regulation of a new type of economic relations.
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Yeung, Andy Wai Kan, Anela Tosevska, Elisabeth Klager, et al. "Medical and Health-Related Misinformation on Social Media: Bibliometric Study of the Scientific Literature." Journal of Medical Internet Research 24, no. 1 (2022): e28152. http://dx.doi.org/10.2196/28152.

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Background Social media has been extensively used for the communication of health-related information and consecutively for the potential spread of medical misinformation. Conventional systematic reviews have been published on this topic to identify original articles and to summarize their methodological approaches and themes. A bibliometric study could complement their findings, for instance, by evaluating the geographical distribution of the publications and determining if they were well cited and disseminated in high-impact journals. Objective The aim of this study was to perform a bibliometric analysis of the current literature to discover the prevalent trends and topics related to medical misinformation on social media. Methods The Web of Science Core Collection electronic database was accessed to identify relevant papers with the following search string: ALL=(misinformati* OR “wrong informati*” OR disinformati* OR “misleading informati*” OR “fake news*”) AND ALL=(medic* OR illness* OR disease* OR health* OR pharma* OR drug* OR therap*) AND ALL=(“social media*” OR Facebook* OR Twitter* OR Instagram* OR YouTube* OR Weibo* OR Whatsapp* OR Reddit* OR TikTok* OR WeChat*). Full records were exported to a bibliometric software, VOSviewer, to link bibliographic information with citation data. Term and keyword maps were created to illustrate recurring terms and keywords. Results Based on an analysis of 529 papers on medical and health-related misinformation on social media, we found that the most popularly investigated social media platforms were Twitter (n=90), YouTube (n=67), and Facebook (n=57). Articles targeting these 3 platforms had higher citations per paper (&gt;13.7) than articles covering other social media platforms (Instagram, Weibo, WhatsApp, Reddit, and WeChat; citations per paper &lt;8.7). Moreover, social media platform–specific papers accounted for 44.1% (233/529) of all identified publications. Investigations on these platforms had different foci. Twitter-based research explored cyberchondria and hypochondriasis, YouTube-based research explored tobacco smoking, and Facebook-based research studied vaccine hesitancy related to autism. COVID-19 was a common topic investigated across all platforms. Overall, the United States contributed to half of all identified papers, and 80% of the top 10 most productive institutions were based in this country. The identified papers were mostly published in journals of the categories public environmental and occupational health, communication, health care sciences services, medical informatics, and medicine general internal, with the top journal being the Journal of Medical Internet Research. Conclusions There is a significant platform-specific topic preference for social media investigations on medical misinformation. With a large population of internet users from China, it may be reasonably expected that Weibo, WeChat, and TikTok (and its Chinese version Douyin) would be more investigated in future studies. Currently, these platforms present research gaps that leave their usage and information dissemination warranting further evaluation. Future studies should also include social platforms targeting non-English users to provide a wider global perspective.
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Fecher, Benedikt, Raffaela Kunz, Nataliia Sokolovska, and Marcel Wrzesinski. "Platformisation of Science." LIBER Quarterly: The Journal of the Association of European Research Libraries 34, no. 1 (2024): 1–18. http://dx.doi.org/10.53377/lq.16693.

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The digital platforms we are dealing with in this article are auxiliary tools that do not produce anything themselves but provide an infrastructure for service providers and users to meet. They have potentially unlimited scaling potential and have become the central places of exchange. In academia we can also observe that research and its communication becomes more digital and that digital services are aiming to become platforms. In this article we explore the concept of digital platforms and their potential impact on academic research, firstly addressing the question: To what extent can digital platforms be understood as a specific type of research infrastructure? We draw from recent literature on platforms and platformisation from different streams of scholarship and relate them to the science studies concept of research infrastructures, to eventually arrive at a framework for science platforms. Secondly, we aim to assess how science platforms may affect scholarly practice. To this end, we relate common platform practices to scientific practice. Thirdly, we aim to assess to what extent science is platformized and how this interferes with scientific understandings of quality and autonomy. In the end of this article, we argue that the potential benefits of platform infrastructure for academic pursuits cannot be ignored, but the commercialization of the infrastructure for scholarly communication is a cause for concern. Ultimately, a nuanced and well-informed perspective on the impact of platformisation on academia is necessary to ensure that the academic community can maximize the benefits of digital infrastructures while mitigating negative consequences.
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Kostina, Alina O. "Platform technologies and metadata: the issues of structuring and communica-tion of scientific knowledge." Digital Scholar: Philosopher`s Lab 6, no. 4 (2023): 54–70. https://doi.org/10.32326/2618-9267-2023-6-4-54-70.

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The main focuses of this article are metadata and platform technologies in their represen-tational practices of scientific achievements and transformative effect on scientific meth-odology. The idea of progressive accumulation of knowledge, on the one hand, and the ad-dressed approach, on the other, both find themselves in the complex operational prac-tice of platforms. The author puts forward a hypothesis that the biggest academic plat-forms present one of the greatest commercial successes in science. These successes are also explained from the standpoint of the critical theory of technology developed by A. Feen-berg. The issue of publishing discrimination and misrepresentation is shown from the po-sition of potential consequences for the pro-gress of scientific knowledge. This study sets a relation between the early stages of meta-analysis, platform growth and actual publica-tion bias agenda. It is shown, how the prac-tice of article retraction has a size effect on the whole scientific field, causing damages to real scientific routine. The author presents an epistemic version of the “effects”, based on practical conclusions from article retraction of one of the researches, naming them the au-thority effect, the dynamic field effect and the untarnished reputation effect accordingly. Following the contemplation on the matter of inclusion blockchain into the full-fledged op-erational circle of academic platforms, the au-thor presents an argument that a technically acceptable idea is not always the conceptual-ly best one. Finally, the mechanism for estab-lishment of technological rationality artefacts, such as platforms themselves, is clarified along with explanations of why technological design is the most efficient version of techno-logical politics.
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Aisaiti, Gulizhaer, Qi Dong, Ling Liang, Jiqing Xie, and Jiaping Xie. "How the Target Positioning of the S&T Innovation Platform Impacts Its Network Innovation Capability in China." Sustainability 15, no. 1 (2022): 716. http://dx.doi.org/10.3390/su15010716.

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The Scientific and Technological Innovation Platform (hereafter S&amp;T innovation platform) accumulates rich innovation resources, co-ordinates the interest between multiple innovation subjects, promotes the sharing of innovation resources, and thus enhances the platform’s network innovation capability. Therefore, based on the perspective of the target positioning of the S&amp;T innovation platform, this paper explores the improvement path of the platform’s network innovation capability. Through empirical research, we found that the target positioning of the S&amp;T innovation platform helps to improve the platform’s network innovation capability. The mediating mechanism of construction logic and transformational logic enhances the S&amp;T innovation platform’s network innovation capability. At the same time, this paper studies the influence of boundary factors, such as government guidance and market lead, on the network innovation capability of S&amp;T innovation platforms and finds that the market lead moderating effect impacts the network innovation capability of S&amp;T innovation platforms through commercial logic and transformational logic. The government guidance positively moderates the relationship between the target positioning of the S&amp;T innovation platform and the commercial logic under construction logic. The moderating effect under the joint impact of market lead and government guidance enhances the network innovation capability of the S&amp;T innovation platform using social logic and transformational logic. The novelty and uniqueness of the research are based on the innovation network theory, integrating construction logic and transformational logic, and enriching the boundary conditions to enhance the network innovation capability of the S&amp;T innovation platform by introducing the roles of market lead and government guidance.
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Leckė, Gintarė, Gabrielė Milašiūtė, and Akvilė Šeškevičiūtė. "Assessment of the Factors Affecting the Intention to Invest in a P2P Lending Platform." Socialiniai tyrimai 45, no. 2 (2022): 8–25. http://dx.doi.org/10.15388/soctyr.2022.45.2.1.

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The digitalisation of the financial system and the rapid growth of new financial technologies arecontributing not only to the change of the financial system, but also to the change of the way people makefinancial decisions. The development of financial technologies has led to the emergence of new financialservices and products, such as P2P lending. With the growth P2P lending market, the scientific literaturepays more and more attention to the analysis of investment intentions through P2P lending platforms and theassessment of the factors affecting the intention to invest (Dja’akum, 2019; Fiorentino et al., 2020; Khan etal., 2021Yang ir Lee, 2016; Poeteri, et al., 2021). It should be noted that, although the interest of researchersin this field is growing, the research in the European context is not sufficient, which reveals the relevance ofthis study. Thus, the aim of the present study is to assess the factors that affect the intention to invest throughP2P lending platforms in Lithuania.A theoretical review of the scientific literature revealed that previous empirical studies have categorised thefactors of the intention to invest through peer-to-peer lending platforms into individual and platform factors.Individual factors are understood as risk appetite, perceived risk, financial literacy, while platform factors areunderstood as perceived ease of use, perceived usefulness, trust. Attitude toward behaviour can be seen asboth an individual and a platform factor. Other factors, such as relative advantage, compatibility, complexity,perceived behaviour control are also distinguished in the scientific literature, but are not considered in theanalysis of the intention to invest through peer-to-peer lending platforms.Research data was collected through an online survey. The survey questionnaire was distributed onlinebetween February and April 2022. The survey sample consisted of 211 respondents. The conceptual researchmodel was developed using a Modified Technological Acceptance (TAM) model, which was performed usingthe Structural Equation Modelling (SEM) method.The SEM analysis revealed that the intention to invest through P2P lending platforms was indirectly influenced by the trust of the P2P lending platform, perceived risk and risk appetite factors. The indirect impactwas through attitude toward P2P lending platforms factor, which had a strong and significant positive impacton the intention to invest through P2P lending platforms. The effect of perceived usefulness and perceivedease of use on Lithuanian investors‘ attitudes towards P2P lending platforms was not statistically significant,and therefore no statistically significant effect of these factors on the intention to invest through P2P lendingplatforms was found.
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