Relevant bibliographies by topics / Keyword: Systems

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Keyword: Systems'

Author: Grafiati
Published: 4 June 2025
Last updated: 15 July 2025

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Journal articles on the topic "Keyword: Systems"

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Barki, Henri, Suzanne Rivard, and Jean Talbot. "An Information Systems Keyword Classification Scheme." MIS Quarterly 12, no. 2 (1988): 299. http://dx.doi.org/10.2307/248855.

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Zhu, Liyan, Chuqiao Xiao, and Xueqing Gong. "Keyword Search in Decentralized Storage Systems." Electronics 9, no. 12 (2020): 2041. http://dx.doi.org/10.3390/electronics9122041.

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The emerging decentralized storage systems (DSSs), such as InterPlanetary File System (IPFS), Storj, and Sia, provide people with a new storage model. Instead of being centrally managed, the data are sliced up and distributed across the nodes of the network. Furthermore, each data object is uniquely identified by a cryptographic hash (ObjectId) and can only be retrieved by ObjectId. Compared with the search functions provided by the existing centralized storage systems, the application scenarios of the DSSs are subject to certain restrictions. In this paper, we first apply decentralized B+Tree
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von der Weth, Christian, and Anwitaman Datta. "Multiterm Keyword Search in NoSQL Systems." IEEE Internet Computing 16, no. 1 (2012): 34–42. http://dx.doi.org/10.1109/mic.2011.140.

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Wu, Dingming, Man Lung Yiu, and Christian S. Jensen. "Moving spatial keyword queries." ACM Transactions on Database Systems 38, no. 1 (2013): 1–47. http://dx.doi.org/10.1145/2445583.2445590.

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He, Qiang, Rui Zhou, Xuyun Zhang, et al. "Keyword Search for Building Service-Based Systems." IEEE Transactions on Software Engineering 43, no. 7 (2017): 658–74. http://dx.doi.org/10.1109/tse.2016.2624293.

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Li, Jin, Xiaofeng Chen, Fatos Xhafa, and Leonard Barolli. "Secure deduplication storage systems supporting keyword search." Journal of Computer and System Sciences 81, no. 8 (2015): 1532–41. http://dx.doi.org/10.1016/j.jcss.2014.12.026.

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Bang, Chulhwan Chris. "Information systems frontiers: Keyword analysis and classification." Information Systems Frontiers 17, no. 1 (2015): 217–37. http://dx.doi.org/10.1007/s10796-014-9544-z.

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Tumma Susmitha, Et al. "Ideal Keyword Match in a Big Data Application Using Keyword Aware Service Recommendation Method." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 9 (2023): 2060–64. http://dx.doi.org/10.17762/ijritcc.v11i9.9205.

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The big data movement additionally influenced service recommender systems. The emergence of alternative providers has created a big research issue in providing clients with relevant suggestions for services they want. Service recommender systems have proven to be helpful tools that help users manage the multitude of services at their disposal and provide pertinent recommendations. Because the quantity of customers, services, and other online information is growing exponentially, service recommender systems function in a "Big Data" context. This poses serious challenges for these systems. In th
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Li, Zhijun, Jianfeng Ma, Yinbin Miao, Ximeng Liu, and Kim-Kwang Raymond Choo. "Forward and backward secure keyword search with flexible keyword shielding." Information Sciences 576 (October 2021): 507–21. http://dx.doi.org/10.1016/j.ins.2021.06.048.

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Youn, Taek-Young, and Hyun Sook Rhee. "Secure Symmetric Keyword Search with Keyword Privacy for Cloud Storage Services." Security and Communication Networks 2021 (November 30, 2021): 1–8. http://dx.doi.org/10.1155/2021/2291470.

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As Internet services are widely used in various mobile devices, the amount of data produced by users steadily increases. Meanwhile, the storage capacity of the various devices is limited to cover the increasing amount of data. Therefore, the importance of Internet-connected storage that can be accessed anytime and anywhere is steadily increasing in terms of storing and utilizing a huge amount of data. To use remote storage, data to be stored need to be encrypted for privacy. The storage manager also should be granted the ability to search the data without decrypting them in response to a query
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Dissertations / Theses on the topic "Keyword: Systems"

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Kuhn, Roland. "Keyword classification trees for speech understanding systems." Thesis, McGill University, 1993. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=41238.

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Speech understanding systems try to extract meaning from one or several word sequences hypotheses generated by a speech recognizer. Designers of these systems rely increasingly on robust matchers to perform this task; a robust matcher processes semantically important word islands rather than attempting to parse the entire word sequence. This thesis describes a robust matcher for speech understanding whose rules are learned automatically from training data. Learning is carried out by a new set of algorithms involving a new data structure, the Keyword Classification Tree (KCT). By eliminating th
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Gopalakrishnan, Vijay. "System support for keyword-based search in structured peer-to-peer systems." College Park, Md. : University of Maryland, 2006. http://hdl.handle.net/1903/3892.

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Thesis (Ph. D.) -- University of Maryland, College Park, 2006.<br>Thesis research directed by: Computer Science. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
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Castro, Ceron Ivan Francisco, and Badillo Andrea Graciela Garcia. "A Keyword Based Interactive Speech Recognition System for Embedded Applications." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-12479.

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Speech recognition has been an important area of research during the past decades. The usage of automatic speech recognition systems is rapidly increasing among different areas, such as mobile telephony, automotive, healthcare, robotics and more. However, despite the existence of many speech recognition systems, most of them use platform specific and non-publicly available software. Nevertheless, it is possible to develop speech recognition systems using already existing open source technology. The aim of this master's thesis is to develop an interactive and speaker independent speech recognit
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Chen, Lei. "Answering why-not questions on spatial keyword top-k queries /Chen Lei." HKBU Institutional Repository, 2016. https://repository.hkbu.edu.hk/etd_oa/365.

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With the continued proliferation of location-based services, a growing number of web-accessible data objects are geo-tagged and have text descriptions. Spatial keyword top-k queries retrieve k such objects with the best score according to a ranking function that takes into account a query location and query keywords. However, it is in some cases difficult for users to specify appropriate query parameters. After a user issues an initial query and gets back the result, the user may find that some expected objects are missing and may wonder why. Answering the resulting why-not questions can aid u
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Bi, Bin, and 闭彬. "Third-order tensor decomposition for search in social tagging systems." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2010. http://hub.hku.hk/bib/B45160041.

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Hamed, Ahmed A. "An Exploratory Analysis of Twitter Keyword-Hashtag Networks and Knowledge Discovery Applications." ScholarWorks @ UVM, 2014. http://scholarworks.uvm.edu/graddis/325.

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The emergence of social media has impacted the way people think, communicate, behave, learn, and conduct research. In recent years, a large number of studies have analyzed and modeled this social phenomena. Driven by commercial and social interests, social media has become an attractive subject for researchers. Accordingly, new models, algorithms, and applications to address specific domains and solve distinct problems have erupted. In this thesis, we propose a novel network model and a path mining algorithm called HashnetMiner to discover implicit knowledge that is not easily exposed using ot
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Aksular, Irem. "Determination Of The Rock Mass Characteristics And Support Systems Of The New Ulus Tunnel, Ankara." Master's thesis, METU, 2008. http://etd.lib.metu.edu.tr/upload/12610304/index.pdf.

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The New Ulus Tunnel will be constructed within the andesitic terrain at Hidirliktepe (Ankara). Excavation of the tunnel will be accomplished through blast and drill method. Emprical methods will be consulted during the design of the support systems as well as the slope of the portal rock face. Therefore it is essential to perform detailed rock mass characterization studies. In this thesis it is aimed to determine the rock mass characteristics in order to design the rock slope of the portals and to assess the reliable support systems for the tunnel. For this purpose laboratory tests and field i
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Brunsman-Johnson, Carissa Ann. "Development and Evaluation of an Interface Aid to Support Web Based Information Seeking for the Blind Research Study." Wright State University / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=wright1302883964.

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Agarwal, Virat. "Algorithm design on multicore processors for massive-data analysis." Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/34839.

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Analyzing massive-data sets and streams is computationally very challenging. Data sets in systems biology, network analysis and security use network abstraction to construct large-scale graphs. Graph algorithms such as traversal and search are memory-intensive and typically require very little computation, with access patterns that are irregular and fine-grained. The increasing streaming data rates in various domains such as security, mining, and finance leaves algorithm designers with only a handful of clock cycles (with current general purpose computing technology) to process every incoming
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NAZARETH, LEANDRO DOS SANTOS. "SYSTEM FOR KEYWORD SEARCH IN RELATIONAL DATABASE." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2008. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=13816@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>Esta dissertação descreve um sistema desenvolvido que permite a criação e execução de consultas a partir de palavras-chave sobre um banco de dados relacional. O sistema recebe palavras-chave quaisquer e tenta criar consultas que podem ser executadas em um Sistema de Gerenciamento de Banco de dados (SGBD). Para realizar esta geração automática de consultas o sistema utiliza os dados do catálogo da base de origem. O sistema permite assim efetuar consultas em um SGBD sem o conhecimento de uma linguagem de consultas, como SQL, e sem conheciment
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Books on the topic "Keyword: Systems"

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Lu, Jiaheng. An Introduction to XML Query Processing and Keyword Search. Springer Berlin Heidelberg, 2013.

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Center, Ames Research, ed. Searching the ASRS database using QUORUM keyword search, phrase search, phrase generation, and phrase discovery. National Aeronautics and Space Administration, Ames Research Center, 2001.

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Dawn, Archer, ed. What's in a word-list?: Investigating word frequency and keyword extraction. Ashgate Pub. Ltd., 2008.

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Lammenett, Erwin. TYPO3-Online-Marketing-Guide: Affiliate- und E-Mail-Marketing, Keyword-Advertising, Suchmaschinen-Optimierung mit TYPO3. Gabler, 2007.

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Qin, Lu, and Chang Lijun, eds. Keyword search in databases. Morgan & Claypool Publishers, 2010.

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Philip, Bryant, Reynolds Linda, and University of Bath. Centre for Catalogue Research., eds. Keyword catalogues and the free language approach. University of Bath, 1985.

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Nestel, Barry L. A minithesaurus of keywords for use with INFORM. isnar, International Service for National Agricultural Research, 1991.

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Varlamov, Oleg. Fundamentals of creating MIVAR expert systems. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1513119.

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Methodological and applied issues of the basics of creating knowledge bases and expert systems of logical artificial intelligence are considered. The software package "MIV Expert Systems Designer" (KESMI) Wi!Mi RAZUMATOR" (version 2.1), which is a convenient tool for the development of intelligent information systems. Examples of creating mivar expert systems and several laboratory works are given. The reader, having studied this tutorial, will be able to independently create expert systems based on KESMI. &#x0D; The textbook in the field of training "Computer Science and Computer Engineering"
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Millemann, Raymond E. Subject keywords index for the Carbon Dioxide Information Center's Bibliographic Information System. Prepared by the Oak Ridge National Laboratory, 1986.

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Varlamov, Oleg. Mivar databases and rules. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1508665.

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The multidimensional open epistemological active network MOGAN is the basis for the transition to a qualitatively new level of creating logical artificial intelligence. Mivar databases and rules became the foundation for the creation of MOGAN. The results of the analysis and generalization of data representation structures of various data models are presented: from relational to "Entity — Relationship" (ER-model). On the basis of this generalization, a new model of data and rules is created: the mivar information space "Thing-Property-Relation". The logic-computational processing of data in th
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Book chapters on the topic "Keyword: Systems"

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Tan, Kian-Lee. "Spatial-Keyword Search." In Encyclopedia of Database Systems. Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4899-7993-3_80661-1.

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Tan, Kian-Lee. "Spatial-Keyword Search." In Encyclopedia of Database Systems. Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4614-8265-9_80661.

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Cong, Gao. "Spatial Keyword Queries." In Database Systems for Advanced Applications. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29023-7_25.

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Wu, Bing, and Pingping Chen. "Research in Keyword Extraction." In Web Information Systems and Mining. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33469-6_69.

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Tolio, Tullio, Hoda A. ElMaraghy, and Anna Valente. "Keyword Coevolution of Manufacturing Systems." In CIRP Encyclopedia of Production Engineering. Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-642-35950-7_16685-4.

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Li, Jiang, Junhu Wang, and Maolin Huang. "Exploiting the Relationship between Keywords for Effective XML Keyword Search." In Advances in Databases and Information Systems. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40683-6_18.

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Li, Sheng, and Junhu Wang. "Spelling Suggestion for XML Keyword Search Based on Pairwise Keyword Summaries." In Web Information Systems Engineering - WISE 2012. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35063-4_9.

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Kuchta, Veronika, and Mark Manulis. "Public Key Encryption with Distributed Keyword Search." In Trusted Systems. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-31550-8_5.

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Li, Shijun, Wei Yu, Xiaoyan Gu, Huifu Jiang, and Chuanyun Fang. "Efficient Interactive Smart Keyword Search." In Web Information Systems Engineering – WISE 2010. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-17616-6_19.

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Wang, Qing, Peng Peng, Tianyao Tong, Zhen Tian, and Zheng Qin. "Keyword Search over Federated RDF Systems." In Database Systems for Advanced Applications. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-59416-9_37.

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Conference papers on the topic "Keyword: Systems"

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"Keyword." In 2010 13th International IEEE Conference on Intelligent Transportation Systems - (ITSC 2010). IEEE, 2010. http://dx.doi.org/10.1109/itsc.2010.5625293.

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"Keyword index." In 2006 IEEE Intelligent Transportation Systems Conference. IEEE, 2006. http://dx.doi.org/10.1109/itsc.2006.1707462.

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"Keyword index." In 2006 IEEE Biomedical Circuits and Systems Conference. IEEE, 2006. http://dx.doi.org/10.1109/biocas.2006.4600356.

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"Keyword index." In 2009 Systems and Information Engineering Design Symposium. IEEE, 2009. http://dx.doi.org/10.1109/sieds.2009.5166144.

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"Keyword index." In 2013 International Conference on Unmanned Aircraft Systems (ICUAS). IEEE, 2013. http://dx.doi.org/10.1109/icuas.2013.6564666.

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"Keyword index." In 2015 International Conference on Unmanned Aircraft Systems (ICUAS). IEEE, 2015. http://dx.doi.org/10.1109/icuas.2015.7152440.

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"Keyword index." In 2016 International Conference on Unmanned Aircraft Systems (ICUAS). IEEE, 2016. http://dx.doi.org/10.1109/icuas.2016.7502686.

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"Keyword index." In 2008 9th International Workshop on Discrete Event Systems. IEEE, 2008. http://dx.doi.org/10.1109/wodes.2008.4605999.

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"Keyword Listing." In 2007 Fourth International Conference on Networked Sensing Systems. IEEE, 2007. http://dx.doi.org/10.1109/inss.2007.4297456.

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"Keyword index." In 2008 5th International Conference on Networked Sensing Systems. IEEE, 2008. http://dx.doi.org/10.1109/inss.2008.4610855.

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Reports on the topic "Keyword: Systems"

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Lindell, Suzanne. Keyword Cluster Algorithm for Expert System Rule Bases. Defense Technical Information Center, 1987. http://dx.doi.org/10.21236/ada183064.

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Radford, Kate, and Rudolph Ampofo. Working Towards Education Success Using Data: A review of Ghana's journey towards improved learning outcomes using data. EdTech Hub, 2024. http://dx.doi.org/10.53832/edtechhub.1059.

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The sub-Saharan Africa region is trapped in a learning crisis with devastating implications for children. The Covid-19 pandemic further exacerbated the situation, with children losing an estimated equivalent of an additional year’s learning. Not addressing the regional learning crisis will have a detrimental impact on economic development and well-being and risks restricting future national and regional economic growth and productivity and fuelling social unrest. Education research has shown that good quality education system data, when judiciously used, can support improved learning outcomes
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Rahman, Asad, and Alice Carter. ‘6Ps’ audit tool. EdTech Hub, 2022. http://dx.doi.org/10.53832/edtechhub.0117.

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EdTech interventions so often fail to take into consideration the broader system they work within. EdTech Hub has created this tool to assess interventions and identify any gaps in the thinking that might stop an intervention from working. Keywords: innovation; education system; 6Ps; tool An output of the EdTech Hub, https://edtechhub.org
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Shkurov, Yevhen. MEDIA COMMUNICATIONS IN THE SOCIAL DIMENSION OF THE CITY. Ivan Franko National University of Lviv, 2025. https://doi.org/10.30970/vjo.2025.57.13294.

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This article explores the media-communication aspect of the social dimension of the contemporary city, conceptualised as a communication hub within global information networks. The analysis is grounded in the theoretical frameworks of structural functionalism, the network society, and systems communication theory. The study reveals that media not only reflect urban processes but also actively shape urban space, influencing identity, social integration, and public discourse. Keywords: media communications, city, network society, social media, urban space, digitalisation.
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Pasupuleti, Murali Krishna. AI in Global Strategy: Harnessing Game Theory and Reinforcement Learning for Diplomatic Innovation. National Education Services, 2025. https://doi.org/10.62311/nesx/rr125.

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Abstract: This article explores the integration of game theory and reinforcement learning (RL) in the context of global diplomacy, emphasizing the transformative potential of strategic AI in international relations. It provides an in-depth analysis of how game theory principles, such as Nash equilibrium and cooperative strategies, are leveraged by AI to model and optimize diplomatic interactions. The Article explains how reinforcement learning enables AI systems to learn and adapt strategies over time, improving their effectiveness in negotiation and conflict resolution. Through case studies a
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Pasupuleti, Murali Krishna. Decision Theory and Model-Based AI: Probabilistic Learning, Inference, and Explainability. National Education Services, 2025. https://doi.org/10.62311/nesx/rriv525.

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Abstract Decision theory and model-based AI provide the foundation for probabilistic learning, optimal inference, and explainable decision-making, enabling AI systems to reason under uncertainty, optimize long-term outcomes, and provide interpretable predictions. This research explores Bayesian inference, probabilistic graphical models, reinforcement learning (RL), and causal inference, analyzing their role in AI-driven decision systems across various domains, including healthcare, finance, robotics, and autonomous systems. The study contrasts model-based and model-free approaches in decision-
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Hassan, Saeed, AbdulKhaliq Alshadid, Ravinder Saini, and Lujain Aldosari. Assessment of Mechanical Properties of Hybrid PVES Elastomeric Material in Comparison to its Parent Materials - A Systemic Review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2023. http://dx.doi.org/10.37766/inplasy2023.3.0043.

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Review question / Objective: Does the hybrid elastomeric impression materials have better elastic memory, tensile strength, hydrophilicity, and dimensional stability as compared to polyether and poly vinyl siloxane. Condition being studied: Dimensional Stability, Tear Strength, yield strength, wettability and other properties of impression materials. Information sources: Original studies from corresponding databases were exported using Harzing’s Publish or Perish (Tamra Software Research Ltd) Widows GUI v8.8 edition with MeSH keywords. Data was exported to MS Excel 2021 edition (Microsoft Corp
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Pasupuleti, Murali Krishna. Neural Computation and Learning Theory: Expressivity, Dynamics, and Biologically Inspired AI. National Education Services, 2025. https://doi.org/10.62311/nesx/rriv425.

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Abstract: Neural computation and learning theory provide the foundational principles for understanding how artificial and biological neural networks encode, process, and learn from data. This research explores expressivity, computational dynamics, and biologically inspired AI, focusing on theoretical expressivity limits, infinite-width neural networks, recurrent and spiking neural networks, attractor models, and synaptic plasticity. The study investigates mathematical models of function approximation, kernel methods, dynamical systems, and stability properties to assess the generalization capa
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Zhai, Fan, Thomas Hertel, and Zhi Wang. Labor Market Distortions, Rural-Urban Inequality and the Opening of China’s Economy. GTAP Working Paper, 2003. http://dx.doi.org/10.21642/gtap.wp27.

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This paper evaluates the impact of some key labor market reforms on rural-urban inequality and income distribution, using a household-disaggregated, recursive dynamic computable general equilibrium (CGE) model of China. We also explore how these factor market reforms interact with product market reforms currently underway as part of China’s WTO accession process. The simulation results show that the reforms in rural land rental market and Hukou system, as well as increasing off-farm labor mobility would reduce the urban-rural income ratio dramatically. Furthermore, the combination of WTO acces
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Theophanous, Andreas, and Mary Varda. Rising discontent with the EU, the Rise of the Right and the 2024 European Parliament Elections in Cyprus. European Center for Populism Studies (ECPS), 2024. http://dx.doi.org/10.55271/rp0065.

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The objective of this chapter is to discuss the causes of rising discontent in Cyprus and assess the political outcomes. Within this framework we briefly assess how the EU has dealt with various crises in the last few years. Perceptions in Cyprus about the EU have changed over time. In the 9 June European elections, a member of the extreme right-wing party, National People’s Front (Ethniko Laiko Metopo, ELAM), was elected for the first time to the European Parliament. Understanding the circumstances in Cyprus that have gradually led to disillusionment with the national political system and the
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