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9 articles
Article 19 Jan 2026
Inten Meutia, Shelly Febriana Kartasari and Hasni Yusrianti
Article 4 Dec 2025
Aivars Spilbergs, Biruta Dzērve, Sandra Ozoliņa, Gunta Innuse-Breidaka, Tatjana Mavrenko, Laima Čable, Agnese Vincēviča, Biruta Sloka, Ginta Tora and Kristīne Liepiņa
This study examines the primary risks associated with using generative artificial intelligence (GAI) in social science research and proposes a framework for higher education institutions to effectively manage these risks. As universities increasingly integrate GAI into
This study examines the primary risks associated with using generative artificial intelligence (GAI) in social science research and proposes a framework for higher education institutions to effectively manage these risks. As universities increasingly integrate GAI into teaching, research, and administration, concerns around intellectual property, academic integrity, data privacy, and ethical use have intensified. This paper explores the adequacy of current legal frameworks in addressing these challenges, drawing on recent legal analyses and institutional practices. Survey data reveal statistically significant differences in perceptions of the need for GAI guidelines based on respondents’ age, education level, field of study, research experience, and geographic region. The findings underscore the urgency of developing adaptive, risk-based policies that support responsible integration of GAI while safeguarding academic standards. The study concludes by proposing guiding principles for a dynamic legal framework that balances innovation with accountability. These recommendations aim to support sustainable and ethical GAI adoption in higher education institutions and contribute to the broader discourse on responsible AI governance in academia.
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Highlights of Sustainability
Volume 4 (2025), Issue 4, pp. 285–298
Volume 4 (2025), Issue 4, pp. 285–298
677 Views650 Downloads
Article 29 Oct 2025
Barbara Marchetti, Guido Castelli and Francesco Corvaro
Highlights of Sustainability
Volume 4 (2025), Issue 4, pp. 240–255
Volume 4 (2025), Issue 4, pp. 240–255
632 Views175 Downloads
Article 28 Dec 2023
Majbah Uddin, Nathan N. Huynh and Fahim Ahmed
Highlights of Sustainability
Volume 3 (2024), Issue 1, pp. 1–15
Volume 3 (2024), Issue 1, pp. 1–15
3131 Views795 Downloads2 Citations
Case Report 25 Aug 2023
Maria Richert
Highlights of Vehicles
Volume 1 (2023), Issue 1, pp. 54–67
Volume 1 (2023), Issue 1, pp. 54–67
4082 Views2415 Downloads
Article 26 Jul 2023
Maksym Diachuk and Said M. Easa
This article is part of the Special Issue Feature Papers to the Inaugural Volume of Highlights of Vehicles.
Highlights of Vehicles
Volume 1 (2023), Issue 1, pp. 29–53
Volume 1 (2023), Issue 1, pp. 29–53
3496 Views1000 Downloads2 Citations
Article 21 Jul 2023
Nikolaos Partarakis, Effrosini Karouzaki, Stavroula Ntoa, Anastasia Ntagianta, Emmanouil Zidianakis and Constantine Stephanidis
Highlights of Sustainability
Volume 2 (2023), Issue 3, pp. 138–156
Volume 2 (2023), Issue 3, pp. 138–156
4416 Views1070 Downloads1 Citations
Article 7 Mar 2023
Olaniran Anthony Thompson, Agbotiname Lucky Imoize and Taiwo Timothy Amos
Highlights of Sustainability
Volume 2 (2023), Issue 1, pp. 35–49
Volume 2 (2023), Issue 1, pp. 35–49
3780 Views1237 Downloads3 Citations
Article 18 Aug 2022
Mohammad Valipour, Helaleh Khoshkam, Sayed M. Bateni and Essam Heggy
Highlights of Sustainability
Volume 1 (2022), Issue 3, pp. 171–187
Volume 1 (2022), Issue 3, pp. 171–187
3890 Views1282 Downloads3 Citations
Article 18 Aug 2022
Mohammad Valipour, Helaleh Khoshkam, Sayed M. Bateni and Essam Heggy
The water crisis is still a major issue in Qatar. Seawater desalination has been strongly implemented in the Persian Gulf region. However, it is costly and there is corrosion in piping materials and other equipment. Hence,
The water crisis is still a major issue in Qatar. Seawater desalination has been strongly implemented in the Persian Gulf region. However, it is costly and there is corrosion in piping materials and other equipment. Hence, there is a vital need to detect groundwater resources in Qatar. Various factors affect the variability of groundwater in Qatar including hydrogeological aspects, climate change, drawdown and abstraction, rainwater harvesting, desertification, and population growth. In this study, we employ the Famine Early Warning Systems Network (FEWS NET) Land Data Assimilation System (FLDAS) to monitor annual variations of soil moisture (SM) in the depth of 1–2 m (as an indicator of groundwater) and rainfall flux (RF) from 1982 to 2019. The results show that SM and RF anomalies were positive from 1982 to 2000 (except 1992). In contrast, these anomalies became negative during 2001–2019 (expect 2001 and 2018), implying the drawdown of groundwater resources. Drier years (i.e., negative RF anomaly) in the recent 19 years (2001–2019) reduced SM and led to a negative SM anomaly. The Mukaynis and Wadi Jallal regions (located in Al Rayyan and Al Wakrah municipalities, respectively) had the highest RF and SM from 1982 to 2019. The center-pivot irrigation systems close to the Mukaynis and Wadi Jallal regions indicate their accessibility to groundwater resources in Qatar. Moreover, these regions have the lowest risk of salinization and groundwater vulnerability. In addition, annual trends of groundwater storage (GWS) retrieved from the Gravity Recovery and Climate Experiment (GRACE) from 2003 to 2019 have been presented. This study is beneficial for detecting and monitoring groundwater resources for the sustainable management of water resources in arid environments.
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Highlights of Sustainability
Volume 1 (2022), Issue 3, pp. 171–187
Volume 1 (2022), Issue 3, pp. 171–187
3890 Views1282 Downloads3 Citations
Volume 5 (2026), Issue 1, pp. 34–45