Transylvanian Review http://transylvanianreviewjournal.com/index.php/TR <p>The journal publishes original papers in all areas of science, engineering and technology (Sport Sciences, Accounting, Medicine and Physics, Computer and Mathematical Sciences, law scope, Agricultural Sciences, Biological Sciences, Chemical Sciences, Engineering, Environmental Sciences, Arts and Humanities, Psychological and Educational Sciences, Statistics, Management, Economics and Financial Economics).</p> <p>Online ISSN: 1221-1249</p> <p>&nbsp;</p> en-US Transylvanian Review 1221-1249 Related Entities Recommendation: A Review http://transylvanianreviewjournal.com/index.php/TR/article/view/942 <p><strong>Background:</strong> In modern search engines, entity recommendation tries to improve users’ experience by assisting them in finding related entities for a given query. This concept has become an indispensable feature today. Actual web search engines have enriched their regular web search results by presenting related entities as recommendations for a user’s query. This new trend bridges the gap between two important domains: recommender systems and search engines. These two domains are increasingly coming back together. Studies on bridging these two popular systems vastly improve user’s experience when employing such hybrid system. Indeed, it is very intuitive to a user to get entities related to the entity appearing in its search query. This new task has attracted considerable interest.</p> <p><strong>Methods: </strong>Many studies and works had been done to present this new concept. In this paper, we conduct a literature review of related entities recommender systems. We collect recently published papers in this field from journals and conferences. We used Google scholar library and summarize papers from different perspectives.</p> <p><strong>Results: </strong>We investigate the proposed approaches by focusing on how they get benefit from contextual data and user’s feedback and how they utilize the knowledge graph for accurate recommendations. The principle when using knowledge bases like DBpedia or YAGO is that to retrieve a ranked list of related entities found in response to a main entity of the query, the system requires potential entities that can be considered as related and relevant to the main entity. These potential candidates can be obtained from the knowledge base. A comparison between approaches is provided and some future directions are presented.</p> <p><strong>Conclusion:</strong> This review paper accomplished a summary of the literature and categorized and synthesized the papers according to different perceptions. To the best of our knowledge, this is the first review on related entities recommender systems using knowledge bases and user’s feedback</p> Saidi Im`ene Mahammed Nadir Klouche Badia Copyright (c) 2022 Transylvanian Review http://creativecommons.org/licenses/by-nc-nd/4.0 2022-12-19 2022-12-19 30 3 Physical Activity and Work Out Capacity After Recovery from COVID-19 Infection http://transylvanianreviewjournal.com/index.php/TR/article/view/929 <p>The COVID-19 pandemic is a current worldwide healthcare challenge with a well-documented negative socioeconomic impact. Several long-term complications have been reported particularly in severely infected patients. Lockdowns and prolonged home staying periods greatly affected the physical fitness and general heath state. This cross-sectional self-report study aimed to investigate the long-term effect on physical activity and exercising after recovery from COVID-19. 271 participants enrolled in the study by completing a survey with questions about their workout habits, duration of training sessions, and rest periods required for recovery in-between sessions, in addition to sleeping hours, eating healthy food or snacks, taking multivitamins, and patterns of sporting. After recovery from COVID-19 infection, there was a general tendency towards decrease in the capacity of exercising, prolonged muscle recovery time, extended hours required between exercising sessions, while the number of participants who use multivitamins was significantly increased. In contrary, there was no statistically significant difference before and after COVID-19 infection regarding sleeping patterns, cigarette consuming, self-rating of physical fitness, and self-rating of eating healthy food. Collectively, the long-term effects of COVID-19 involved limited exercising ability and capacity; the issue that shall encourage both physically and non-physically active people to continue or start physical fitness in order to improve their health status through the boosting of immunovigilance.</p> Waad A. Samman Ahmad H. Al-Hrazi Ghadi H. Mahmoud Ibrahim A. Alshammari Raghad I. Ibrahim Atheer H. Alharbi Hossein M. Elbadawy Copyright (c) 2022 Transylvanian Review http://creativecommons.org/licenses/by-nc-nd/4.0 2022-10-03 2022-10-03 30 3