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Journal articles on the topic 'Relations IDAF'

Author: Grafiati

Published: 7 July 2024

Last updated: 31 July 2025

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1

Akinrinade, Olusola. "Book Review: Eminent Persons Group, Mission to South Africa: The Commonwealth Report (Harmondsworth: Penguin for Commonwealth Secretariat, 1986. 176pp.. £2.50 pbk.). Gavin Cawthra, Brutal Force (London: IDAF, 1986, 319pp., £6.00 pbk.). Joseph Hanlon, Beggar Your Neighbours (London: CIIA/indiana University Press, 1986, £25.00 hbk., £8.95 pbk.)." Millennium: Journal of International Studies 17, no. 1 (1988): 123–27. http://dx.doi.org/10.1177/03058298880170010406.

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Churkin, Sergei V., and Roman V. Yakovlev. "New data about Plebejus idas (Linnaeus, 1761) (Lepidoptera, Lycaenidae) from Mongolia with the descriptions of new subspecies." Ecologica Montenegrina 73 (May 17, 2024): 116–24. http://dx.doi.org/10.37828/em.2024.73.12.

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The article includes the descriptions of two new taxa of Plebejus idas (Linnaeus, 1761) from Mongolia: ssp. baitag ssp. nova (SW Mongolia, Baitag Mts.) and ssp. arshantyn ssp. nova (SW Mongolia, Mongolian Altai, Arshantyn Mts.). The relations with other Mongolian taxa are discussed, including the situation with P. i. saldaitisi Churkin et Zhdanko, 2003.

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Krasnoschekov, E. V. "EXPRESSION OF POSSESSIVE RELATIONS IN THE ARABIC LANGUAGE AND ITS DIALECTS USING PREPOSITIONS." Modern Linguistic and Methodical-and-Didactic Researches, no. 3(30) (December 31, 2020): 9–18. http://dx.doi.org/10.36622/mlmdr.2020.30.3.001.

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Problem statement: In contrast to the European languages in Arabic, the expression of possessive relations occurs in other ways, namely, well-known, and in the first place these are constructions with idafa (´iḍāfah), as well as constructions with prepositions. In our work, we consider constructions with the preposition li- and the preposition min, as one of the means of expressing possession in the Arabic language. Results. In the function of prepositions to express possessive relations, in addition to the mentioned prepositions, “improper prepositions” can be used, which are usually not used

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Audu, OJILE, Barnabas, and ONOGU, Juliana. "Interreligious Relations Among the Igala people." Ológè: Lasued International Journal Of Humanities Education 1, no. 01 (2024): 186–92. http://dx.doi.org/10.36349/olijhe.2024.v01i01.020.

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The three main religions practiced in Igala territory are Christianity, Islam, and African traditional religion. Consequently, the study looks at the relationships between the Igala people's various religions. An approach to qualitative research was adopted in this paper. With some contribution from my own experience as an Igala and as a missionary who has served pastorally in the Idah Diocese, the study was mostly based on library research. The study's conclusions demonstrated that, despite their differing religious perspectives, there are numerous examples of cooperation, support for one ano

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Feldman, Guy. "Saving from poverty: A critical review of Individual Development Accounts." Critical Social Policy 38, no. 2 (2017): 181–200. http://dx.doi.org/10.1177/0261018317695451.

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The much-heralded anti-poverty strategy of asset-building has been adopted by many countries across the world. Asset-building programmes are designed to help low-income families achieve long-term financial stability through savings and asset accumulation. This article offers a comprehensive and critical review of the current state of theory and research on asset-building programmes, with an emphasis on Individual Development Accounts (IDAs) in the United States. Studies of IDAs have involved quantitative evaluations of the programme, focusing on three key topics: the programme’s effects on cli

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Kittiphattanabawon, Nichnan, Thanaruk Theeramunkong, and Ekawit Nantajeewarawat. "Region-based association measures for ranking mined news relations." Intelligent Data Analysis 18, no. 2 (2014): 217–41. http://dx.doi.org/10.3233/ida-140638.

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Liang, Shikai, and Xianli Lv. "Angioarchitecture and Endovascular Therapy of Infantile Dural Arteriovenous Fistulas." Neurology India 72, no. 6 (2024): 1152–59. https://doi.org/10.4103/neurol-india.neurol-india-d-23-00527.

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Infantile dural arteriovenous fistula (IDAVF) is a rare complex dural arteriovenous fistulas. This study is to provide a comprehensive understanding of the angioarchitecture of arteriovenous shunts in IDAVFs and planning endovascular treatment. Five cases of IDAVF and a literature review were analyzed to characterize the shunt patterns of IDAVFs in terms of anatomic relations to the arterial feeder, sinuses, and cortical veins. Treatment characteristics and outcomes were evaluated. A total of 37 cases of IDAVF were identified, including 32 cases from the 15 literature studies and five cases fr

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Pindur, Roman, and Robert Susmaga. "Fast rule extraction with binary-coded relations." Intelligent Data Analysis 7, no. 1 (2003): 27–42. http://dx.doi.org/10.3233/ida-2003-7104.

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Ranjbar-Sahraei, Bijan, Hossein Rahmani, Gerhard Weiss, and Karl Tuyls. "Distant supervision of relation extraction in sparse data." Intelligent Data Analysis 23, no. 5 (2019): 1145–66. http://dx.doi.org/10.3233/ida-184238.

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Deng, Kejun, Xuemiao Zhang, Songtao Ye, and Junfei Liu. "Knowledge-embodied attention for distantly supervised relation extraction." Intelligent Data Analysis 24, no. 2 (2020): 445–57. http://dx.doi.org/10.3233/ida-194476.

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Gui, Yaocheng, Qian Liu, and Zhiqiang Gao. "Learning labeling functions in distantly supervised relation extraction." Intelligent Data Analysis 24, no. 2 (2020): 427–43. http://dx.doi.org/10.3233/ida-194492.

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Savnik, Iztok, and Peter A. Flach. "Discovery of multivalued dependencies from relations." Intelligent Data Analysis 4, no. 3-4 (2000): 195–211. http://dx.doi.org/10.3233/ida-2000-43-403.

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Bellodi, Elena, Fabrizio Riguzzi, and Evelina Lamma. "Statistical relational learning for workflow mining." Intelligent Data Analysis 20, no. 3 (2016): 515–41. http://dx.doi.org/10.3233/ida-160818.

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Nguyen, Kim-Ngan T., Loïc Cerf, Marc Plantevit, and Jean-Françcois Boulicaut. "Discovering descriptive rules in relational dynamic graphs." Intelligent Data Analysis 17, no. 1 (2013): 49–69. http://dx.doi.org/10.3233/ida-120567.

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Краснощёков, Е. В. "EXPRESSION OF POSSESSIVE RELATIONS IN THE ARABIC LANGUAGE AND ITS DIALECTS USING PREPOSITIONS." НАУЧНЫЙ ЖУРНАЛ СОВРЕМЕННЫЕ ЛИНГВИСТИЧЕСКИЕ И МЕТОДИКО-ДИДАКТИЧЕСКИЕ ИССЛЕДОВАНИЯ, no. 3(47) (October 24, 2020): 17–27. http://dx.doi.org/10.36622/vstu.2020.69.10.001.

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Постановка задачи. В отличие от европейских языков в арабском языке выражение притяжательных отношений происходит иными способами, а именно приименными, в первую очередь это конструкции с идафой ( ´iḍāfah ), а также конструкции с предлогами. В данной работе мы рассматриваем конструкции с предлогами li - и min, как одно из средств выражения притяжательности в арабском языке. Результаты. Конструкции с предлогами li - и min наиболее часто используются в арабском языке для выражения поссессивных отношений, поскольку могут выражать различные случаи поссессивности. В функции предлогов для выражения

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Tang, Guanting, Jian Pei, James Bailey, and Guozhu Dong. "Mining multidimensional contextual outliers from categorical relational data." Intelligent Data Analysis 19, no. 5 (2015): 1171–92. http://dx.doi.org/10.3233/ida-150764.

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Ben Ishak, Mouna, Philippe Leray, and Nahla Ben Amor. "Probabilistic relational model benchmark generation: Principle and application." Intelligent Data Analysis 20, no. 3 (2016): 615–35. http://dx.doi.org/10.3233/ida-160823.

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Abellán, Joaquín, and Serafín Moral. "Determining dependence relations using a new score based on imprecise probabilities." Intelligent Data Analysis 16, no. 6 (2012): 847–63. http://dx.doi.org/10.3233/ida-2012-00555.

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De Andrade, José H. Fischel, and André De Lima Madureira. "Corrigendum to: Protection in Natural Disasters: The response to Cyclone Idai in Mozambique." Journal of Refugee Studies 35, no. 1 (2021): 745. http://dx.doi.org/10.1093/jrs/feab095.

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Song, Wei, Beisi Jiang, and Yangyang Qiao. "Mining multi-relational high utility itemsets from star schemas." Intelligent Data Analysis 22, no. 1 (2018): 143–65. http://dx.doi.org/10.3233/ida-163231.

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He, Dengchao, Hongjun Zhang, Wenning Hao, et al. "Distant supervised relation extraction via long short term memory networks with sentence embedding." Intelligent Data Analysis 21, no. 5 (2017): 1213–31. http://dx.doi.org/10.3233/ida-163148.

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Sun, Tingting, Chunhong Zhang, Yang Ji, and Zheng Hu. "A latent-label denoising method for relation extraction with self-directed confidence learning." Intelligent Data Analysis 24, no. 1 (2020): 101–17. http://dx.doi.org/10.3233/ida-184414.

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Sopchoke, Sirawit, Ken-ichi Fukui, and Masayuki Numao. "Explainable and unexpectable recommendations using relational learning on multiple domains." Intelligent Data Analysis 24, no. 6 (2020): 1289–309. http://dx.doi.org/10.3233/ida-194729.

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In this research, we combine relational learning with multi-domain to develop a formal framework for a recommendation system. The design of our framework aims at: (i) constructing general rules for recommendations, (ii) providing suggested items with clear and understandable explanations, (iii) delivering a broad range of recommendations including novel and unexpected items. We use relational learning to find all possible relations, including novel relations, and to form the general rules for recommendations. Each rule is represented in relational logic, a formal language, associating with pro

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Huang, Xingang, and Feng Zhao. "Relation-based aggregation: finding objects in large spatial datasets." Intelligent Data Analysis 4, no. 2 (2000): 129–47. http://dx.doi.org/10.3233/ida-2000-4204.

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Kumar, D. Vimal, and A. Tamilarasi. "Genetic algorithm-based optimized association rule mining for multi-relational data." Intelligent Data Analysis 17, no. 6 (2013): 965–80. http://dx.doi.org/10.3233/ida-130615.

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Lonlac, Jerry, and Engelbert Mephu Nguifo. "A novel algorithm for searching frequent gradual patterns from an ordered data set." Intelligent Data Analysis 24, no. 5 (2020): 1029–42. http://dx.doi.org/10.3233/ida-194644.

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Mining frequent simultaneous attribute co-variations in numerical databases is also called frequent gradual pattern problem. Few efficient algorithms for automatically extracting such patterns have been reported in the literature. Their main difference resides in the variation semantics used. However in applications with temporal order relations, those algorithms fail to generate correct frequent gradual patterns as they do not take this temporal constraint into account in the mining process. In this paper, we propose an approach for extracting frequent gradual patterns for which the ordering

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Aggoune, Aicha. "Intelligent data integration from heterogeneous relational databases containing incomplete and uncertain information." Intelligent Data Analysis 26, no. 1 (2022): 75–99. http://dx.doi.org/10.3233/ida-205535.

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The integration of incomplete and uncertain information has emerged as a crucial issue in many application domains, including data warehousing, data mining, data analysis, and artificial intelligence. This paper proposes a novel approach of mediation-based integration for integrating these types of information from heterogeneous relational databases. We present in detail the different processes in the layered architecture of the proposed flexible mediator system. The integration process of our mediator is based on the use of fuzzy logic and semantic similarity measures for more effective integ

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Vityaev, E. E., and B. Y. Kovalerchuk. "Relational methodology for data mining and knowledge discovery." Intelligent Data Analysis 12, no. 2 (2008): 189–210. http://dx.doi.org/10.3233/ida-2008-12204.

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Fan, Xinghua, and Maosong Sun. "Knowledge representation and reasoning based on entity and relation propagation diagram/tree." Intelligent Data Analysis 10, no. 1 (2006): 81–102. http://dx.doi.org/10.3233/ida-2006-10106.

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30

Hong, Tzung-Pei, Chi-Cheng Kao, Siang-Wei Chen, and Chun-Hao Chen. "Mining multiplex interaction relationships from usage records in social networks." Intelligent Data Analysis 26, no. 4 (2022): 993–1005. http://dx.doi.org/10.3233/ida-184107.

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Social networks have become increasingly popular and are commonly used in everyday life. They also become the most convenient places to send information or receive advertisements. The multiplex network is an important study topic in social networks, in which many features could be appropriately represented in different layers. In this paper, we propose an approach to find the multiplex interaction relationships based on the action records of users on social networks. The multiplex user interactions are found and divided into three levels: high, normal and low. They are then used to check the f

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Bruzón, Adrian Fonseca, Aurelio López-López, and José E. Medina Pagola. "Multilevel term analysis for adaptive document filtering1." Intelligent Data Analysis 24 (December 4, 2020): 3–14. http://dx.doi.org/10.3233/ida-200006.

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Humans tend to organize information in documents in a logical and intentional way. This organization, which we call textual structure, is commonly in terms of sections, chapters, paragraphs, or sentences. This structure facilitates the understanding of the content that we want to transmit to the readers. However, such structure, in which we usually encode the semantic content of information, is not usually exploited by the filtering methods for the construction of a user profile. In this work, we propose the use of term relations considering different context levels for enhancing document filt

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Wang, Shyue-Liang, Jenn-Shing Tsai, and Tzung-Pei Hong. "Discovering functional dependencies from similarity-based fuzzy relational databases." Intelligent Data Analysis 5, no. 2 (2001): 131–49. http://dx.doi.org/10.3233/ida-2001-5204.

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He, Jin, Lei Li, Yan Wang, and Xindong Wu. "Hierarchical features-based targeted aspect extraction from online reviews." Intelligent Data Analysis 25, no. 1 (2021): 205–23. http://dx.doi.org/10.3233/ida-194952.

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With the prevalence of online review websites, large-scale data promote the necessity of focused analysis. This task aims to capture the information that is highly relevant to a specific aspect. However, the broad scope of the aspects of the various products makes this task overarching but challenging. A commonly used solution is to modify the topic models with additional information to capture the features for a specific aspect (referred to as a targeted aspect). However, the existing topic models, either perform the full analysis to capture features as many as possible or estimate the simila

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Ning, Nianwen, Yilin Yang, Chenguang Song, and Bin Wu. "An adaptive node embedding framework for multiplex networks." Intelligent Data Analysis 25, no. 2 (2021): 483–503. http://dx.doi.org/10.3233/ida-195065.

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Network Embedding (NE) has emerged as a powerful tool in many applications. Many real-world networks have multiple types of relations between the same entities, which are appropriate to be modeled as multiplex networks. However, at random walk-based embedding study for multiplex networks, very little attention has been paid to the problems of sampling bias and imbalanced relation types. In this paper, we propose an Adaptive Node Embedding Framework (ANEF) based on cross-layer sampling strategies of nodes for multiplex networks. ANEF is the first framework to focus on the bias issue of sampling

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Pham, Phu, and Phuc Do. "W-MMP2Vec: Topic-driven network embedding model for link prediction in content-based heterogeneous information network." Intelligent Data Analysis 25, no. 3 (2021): 711–38. http://dx.doi.org/10.3233/ida-205168.

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Link prediction on heterogeneous information network (HIN) is considered as a challenge problem due to the complexity and diversity in types of nodes and links. Currently, there are remained challenges of meta-path-based link prediction in HIN. Previous works of link prediction in HIN via network embedding approach are mainly focused on exploiting features of node rather than existing relations in forms of meta-paths between nodes. In fact, predicting the existence of new links between non-linked nodes is absolutely inconvincible. Moreover, recent HIN-based embedding models also lack of thorou

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Vo, Tham, and Phuc Do. "GOW-Stream: A novel approach of graph-of-words based mixture model for semantic-enhanced text stream clustering." Intelligent Data Analysis 25, no. 5 (2021): 1211–31. http://dx.doi.org/10.3233/ida-205443.

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Recently, rapid growth of social networks and online news resources from Internet have made text stream clustering become an insufficient application in multiple domains (e.g.: text retrieval diversification, social event detection, text summarization, etc.) Different from traditional static text clustering approach, text stream clustering task has specific key challenges related to the rapid change of topics/clusters and high-velocity of coming streaming document batches. Recent well-known model-based text stream clustering models, such as: DTM, DCT, MStream, etc. are considered as word-indep

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Mitchell, Mary Louise. "Asherah, by Tilde Binger - A Feminist Companion to Reading the Bible, by Athalya Brenner-Idan - Neo-Assyrian Historical Inscriptions and Syria-Palestine, by Jeffrey Kah-Jin Kuan." Arc: The Journal of the School of Religious Studies 26 (May 1, 1998): 151–55. http://dx.doi.org/10.26443/arc.v26i.864.

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The author in this one submission offers a review of three different books, which all seek to discuss Feminist Biblical Scholarship. 1. Asherah: Goddesses in Ugarit, Israel and the Old Testament. By Tilde Binger. JSOT Supplement Series 232. Sheffield: Sheffield Academic Press, 1997. ISBN 1-85075-637-6. Pp. 190. 2. A Feminist Companion to Reading the Bible: Approaches, Methods, Strategies. Ed. Athalya Brenner and Carole Fontaine. Sheffield: Sheffield Academic Press, 1997. ISBN 1-85075-674-0. Pp. 654. 3. Neo-Assyrian Historical Inscriptions and Syria-Palestine: Israelite-Judean

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Shobe, Marcia A., and Jacqueline Dienemann. "Intimate Partner Violence in the United States: An Ecological Approach to Prevention and Treatment." Social Policy and Society 7, no. 2 (2008): 185–95. http://dx.doi.org/10.1017/s1474746407004137.

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Physical, sexual, verbal and economic abuse, also known as Intimate Partner Violence (IPV), comprise a major public health problem. IPV risk factors include poverty, stress, substance use, depression, and history of child maltreatment. Protective factors include human capital (functional health and work competencies/qualifications), social capital (formal/informal relationships and resources) and financial capital (income and assets). Traditional IPV initiatives focus on increasing social capital by changing the cognition and/or behaviour of victims or perpetrators and increasing legal sanctio

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Appice, Annalisa, Michelangelo Ceci, Antonietta Lanza, Francesca A. Lisi, and Donato Malerba. "Discovery of spatial association rules in geo-referenced census data: A relational mining approach." Intelligent Data Analysis 7, no. 6 (2003): 541–66. http://dx.doi.org/10.3233/ida-2003-7604.

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Appice, Annalisa, Michelangelo Ceci, Antonio Turi, and Donato Malerba. "A parallel, distributed algorithm for relational frequent pattern discovery from very large data sets." Intelligent Data Analysis 15, no. 1 (2011): 69–88. http://dx.doi.org/10.3233/ida-2010-0456.

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Nabipour, Mohammad, and Amir Reza Momen. "A novel approach to energy-aware resource management: Toward green NOMA heterogeneous networks." Intelligent Data Analysis 26, no. 5 (2022): 1379–402. http://dx.doi.org/10.3233/ida-215929.

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The dense deployment of small cell networks is a key feature of next generation mobile networks aimed at providing the necessary capacity increase. In order to reach an acceptable performance in such ultra-dense networks, real-time resource management is of great importance. Therefore, self-optimization networking is proposed as the only viable solution to increase the networks’ utility. This paper proposed a self-optimizing model to enhance network performance and guarantee the users’ QoS requirements by considering limited resources and using effective user association, carrier scheduling an

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Ülker, Mehtap, and A. Bedri Özer. "The Bart-based Model for Scientific Articles Summarization." JUCS - Journal of Universal Computer Science 30, no. (13) (2024): 1807–28. https://doi.org/10.3897/jucs.115121.

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With the development of deep learning techniques, many models have been proposed for abstractive text summarization. However, the problem of summarizing source documents while preserving their integrity persists due to token restrictions and the inability to adequately extract semantic word relations between different sentences. To overcome this problem, a fine-tuning BART-based model was proposed, which generates a scientific summary by selecting important words contained in the text in the input document. The input text consists of terminology and keywords from the source document. The propo

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Aldrin, Viktor. "Frågebaserad professionsetik eller etiska riktlinjer i högre utbildning? – Fungerar SULF:s yrkesetiska riktlinjer i relation till breddad rekrytering och deltagande, eller är det dags för en ny form av yrkesetik i högre utbildning?" Högre utbildning 6, no. 2 (2016): 109–19. http://dx.doi.org/10.23865/hu.v6.744.

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Syftet med denna artikel är dels att undersöka hur den existerande professionsetiken ser ut för universitetslärare idag, 2016, dels att pröva utforma en ny, frågebaserad professionsetik, som istället för riktlinjer utgår ifrån de didaktiska frågorna hur, vad, varför och vem? Som en grund för artikeln står dels SULF:s etiska riktlinjer från 2005 för universitetslärare, dels den problematik som breddad rekrytering innebär vad gäller studenters prestationer och förutsättningar till studier. Stora brister identifieras i SULF:s etiska riktlinjer, framför allt vad gäller synen på svaga studenter och

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Akrou, Yassine, Kidari Naouar, and El Arbi El Bakkali. "Power and Communication in La Maison de Cicine by Mohamed Nedali." Cadernos de Educação Tecnologia e Sociedade 18, se1 (2025): 103–14. https://doi.org/10.14571/brajets.v18.nse1.103-114.

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This study examines the intricate dynamics of power and communication in Mohamed Nedali's novel La Maison de Cicine, exploring how fundamentalist ideologies operate through sophisticated mechanisms of control and manipulation. Utilizing Michel Foucault's theoretical framework of power relations, the research investigates the microcosm of Dar Louriki, a shared living space in Marrakech that serves as a rich analytical site for understanding complex social interactions. The analysis focuses on Sheikh Ocean of Knowledge, a central character who exemplifies how power is exercised through nuanced c

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Manzano, Valeria. "Idas y vueltas." Ayer. Revista de Historia Contemporánea, April 7, 2025, 1–25. https://doi.org/10.55509/ayer/1540.

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Este trabajo reconstruye la trayectoria de sucesivas cohortes de roqueros argentinos que migraron a España. El trabajo dialoga con dos series de campos de estudio. Por un lado, contribuye a los estudios sobre la historia del exilio argentino a partir de reponer la multiciplicidad de experiencias, percepciones y auto-percepciones que hicieron a las dinámicas migratorias. Por otro lado, colabora a avanzar en el conocimiento de las relaciones culturales y contraculturales entre Argentina y España. En este sentido, reconstruye la emergencia de un “transnacionalismo menor”, situando a actores poco

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De la Rosa-Cáceres, A., O. M. Lozano, M. Sanchez-Garcia, F. Fernandez-Calderon, G. Rossi, and C. Diaz-Batanero. "Assessing Internalizing Symptoms and Their Relation with Levels of Impairment: Evidence-Based Cutoffs for Interpreting Inventory of Depression and Anxiety Symptoms (IDAS-II) Scores." Journal of Psychopathology and Behavioral Assessment, January 10, 2023. http://dx.doi.org/10.1007/s10862-022-10008-6.

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AbstractTests and scales measuring psychological disorders should provide information about how scores relate to other constructs such as quality of life or functional impairment. Such information is necessary to allow that their scores contribute to clinical decision making. The current study analyzes the clinical utility of the Spanish version of the Inventory for Depression and Anxiety Symptoms (IDAS-II) to discriminate between different levels of functional impairment and identify the IDAS-II scales that contribute most to explaining impairment. The total sample (N = 1390) consists of two

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Zhang, Yunqi, Jidong Yuan, Chixuan Wei, and Yifei Xie. "Aggregating knowledge and collaborative information for sequential recommendation." Intelligent Data Analysis, November 30, 2023, 1–20. http://dx.doi.org/10.3233/ida-227198.

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Sequential recommendation aims to predict users’ future activities based on their historical interaction sequences. Various neural network architectures, such as Recurrent Neural Networks (RNN), Graph Neural Networks (GNN), and self-attention mechanisms, have been employed in the tasks, exploring multiple aspects of user preferences, including general interests, short-term interests, long-term interests, and item co-occurrence patterns. Despite achieving good performance, there are still limitations in capturing complex user preferences. Specifically, the current structures of RNN, GNN, etc.,

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Nilsson, Anton, Carl Bonander, Ulf Strömberg, and Jonas Björk. "A directed acyclic graph for interactions." International Journal of Epidemiology, November 22, 2020. http://dx.doi.org/10.1093/ije/dyaa211.

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Abstract Background Directed acyclic graphs (DAGs) are of great help when researchers try to understand the nature of causal relationships and the consequences of conditioning on different variables. One fundamental feature of causal relations that has not been incorporated into the standard DAG framework is interaction, i.e. when the effect of one variable (on a chosen scale) depends on the value that another variable is set to. In this paper, we propose a new type of DAG—the interaction DAG (IDAG), which can be used to understand this phenomenon. Methods The IDAG works like any DAG but inste

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Raihan Andhira Putera Santosa and Riza Hernawati. "Analisis Kegiatan Corporate Social Responsibility PDAM Tirta Raharja dalam Membangun Stakeholder Relations." Bandung Conference Series: Public Relations 2, no. 2 (2022). http://dx.doi.org/10.29313/bcspr.v2i2.4080.

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Abstract. PDAM Tirta Raharja implements Corporate Social Responsibility as a form of assistance and services to local residents in the construction of uninhabitable houses (Rutilahu). From the Corporate Social Responsibility of PDAM Tirta Raharja, researchers see the function of Public Relations as the hand of the company to establish relationships between the public. The purpose of this study is to find out and understand the criteria of PDAM Tirta Raharja in determining the CSR program for unfit for habitation, to find out and understand the stakeholder mapping conducted by PDAM Tirta Raharj

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He, Xinyu, Manfei Kan, and Yonggong Ren. "HAGCN: A relation extraction model based on heterogeneous graph convolutional neural network and graph attention." Intelligent Data Analysis, June 20, 2024, 1–17. http://dx.doi.org/10.3233/ida-240083.

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Relation extraction is one of the core tasks of natural language processing, which aims to identify entities in unstructured text and judge the semantic relationships between them. In the traditional methods, the extraction of rich features and the judgment of complex semantic relations are inadequate. Therefore, in this paper, we propose a relation extraction model, HAGCN, based on heterogeneous graph convolutional neural network and graph attention mechanism. We have constructed two different types of nodes, words and relations, in a heterogeneous graph convolutional neural network, which ar

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