• Does foreign finance promote the production and consumption of renewable energy in developing countries? The role of globalization 

  Ebaidalla M., Ebaidalla ( Elsevier , 2025 , Article)

  Given the increasing global interest in the transition to green energy sources in developing countries that have financial constraints, this study examines the influence of foreign finance on the production and consumption ...
• Precision meets repurposing: Innovative approaches in human papillomavirus and Epstein-Barr virus-driven cancer therapy 

  Fernandes, Queenie ( Elsevier , 2024 , Article)

  Viral malignancies represent a distinct entity among cancers. Oncoviruses like the Human Papilloma Virus (HPV) and the Epstein Barr Virus (EBV) are highly potent inducers of oncogenic transformation leading to tumor ...
• Amygdalin in antineoplastic medicine and the relevance of nanotechnology 

  Queenie, Fernandes; Billa, Nashiru ( Elsevier , 2025 , Article Review)

  Amygdalin is a plant-based cyanogenic glycoside that has been the subject of both scientific interest and controversy for decades. Traditionally used in alternative medicine for its diverse biological activities, including ...
• Corrigendum to “Precision meets repurposing: Innovative approaches in human papillomavirus and Epstein-Barr virus-driven cancer therapy” [Cancer Lett. 607 (2024) 217318] 

  Fernandes, Queenie ( Elsevier , 2025 , Article)

  The author acknowledges with regret that the source of funding for open access publishing was not initially credited. The details are provided below: Acknowledgement Open Access funding was provided by the Qatar National ...
• Intravenous administration of gold nanoparticles in rats exhibit alterations in sphingomyelins, bile acids, sphingolipids, and cholesterol esters levels 

  Al-Sulaiti, Haya; Ismail, Roua; Anwardeen, Najeha; Al-Saei, Aisha Nasser J.M.; Alkilany, Alaaldin; Elrayess, Mohamed A.; Rachid, Ousama... more authors ... less authors ( Springer , 2025 , Article)

  Nanoparticles (NP) have gained significant attention in biomedical research due to their unique properties and potential applications in drug delivery, imaging, and diagnostics. Gold (AuNPs) and silver (AgNPs) NPs are among ...
• The International Collaboration of Pharmacy Journal Editors (ICPJE)formally constituted to foster quality around clinical and social pharmacy practice research publications 

  Alves da Costa, F.; Fernandez-Llimos, F.; Desselle, S.; Arnet, I.; Babar, Z.; Bond, C.; Cordina, M.; Garcia Cardenas, V.; El Hajj, M.S.; Jacobsen, R.; Law, A.V.; Nørgaard, L.S.; Polidori, C.; Shcherbakova, N.; Stewart, D.; Tonin, F.; Weidmann, A.E.... more authors ... less authors ( Elsevier , 2024 , Article)

  The Granada statements were a result of the need to strengthen clinical, social and administrative pharmacy practiceas an area of knowledge that translates into practice, research and policy.As a response, a group of ...
• Associations between Bone Mineral Density and WOMAC Scores in Healthy Individuals: Insights from the Qatar Biobank 

  Al-Hamdani, Mohammed; Issa, Farah; Abdulla, Marah; Abdallah, Saja A.; Al-Haidose, Amal; Abdallah, Atiyeh M.... more authors ... less authors ( Elsevier , 2025 , Article)

  Background: Bone mineral density (BMD) is an indicator of bone health that predicts future bone fractures. The Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) is used to assess the severity of symptoms ...
• Incidental finding of hepatic pseudolesion from aberrant right gastric vein in a breast cancer patient 

  Sawafta, Ahmed; Sawaftah, Zaid; Awashra, Ameer; Anabseh, Yaqoot; Hamshary, Husam; Odah, Ali Bani; Dibas, Jana; Eid, Aseel; Khamaysa, Jehad; Hamdan, Ahmad... more authors ... less authors ( Elsevier , 2025 , Article)

  Aberrant right gastric veins (ARGV) represent rare anatomical variations that can result in hepatic pseudolesions, mimicking malignancies due to their atypical drainage directly into the liver parenchyma. This case highlights ...
• Energy-efficient multi-objective distributed assembly permutation flowshop scheduling by Q-learning based meta-heuristics 

  Hui, Yu; Gao, Kaizhou; Li, Zhiwu; Suganthan, Ponnuthurai Nagaratnam ( Elsevier , 2024 , Article)

  This study addresses energy-efficient multi-objective distributed assembly permutation flowshop scheduling problems with minimisation of maximum completion time, mean of earliness and tardiness, and total carbon emission ...
• An archive-assisted multi-modal multi-objective evolutionary algorithm 

  Peng, Chen; Li, Zhimeng; Qiao, Kangjia; Suganthan, P.N.; Ban, Xuanxuan; Yu, Kunjie; Yue, Caitong; Liang, Jing... more authors ... less authors ( Elsevier , 2024 , Article)

  The multi-modal multi-objective optimization problems (MMOPs) pertain to characteristic of the decision space that exhibit multiple sets of Pareto optimal solutions that are either identical or similar. The resolution of ...
• A staged fuzzy evolutionary algorithm for constrained large-scale multiobjective optimization 

  Jinlong, Zhou; Zhang, Yinggui; Yu, Fan; Yang, Xu; Suganthan, Ponnuthurai Nagaratnam ( Elsevier , 2024 , Article)

  Constrained multiobjective optimization problems (CMOPs) are prevalent in practical applications, where constraints play a significant role. Building on techniques from constrained single-objective optimization, classical ...
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  Class-incremental Learning for Time Series: Benchmark and Evaluation 

  Qiao, Zhongzheng; Pham, Quang; Cao, Zhen; Le, Hoang H.; Suganthan, P. N.; Jiang, Xudong; Ramasamy, Savitha... more authors ... less authors ( Association for Computing Machinery (ACM) , 2024 , Conference Proceedings)

  Real-world environments are inherently non-stationary, frequently introducing new classes over time. This is especially common in time series classification, such as the emergence of new disease classification in healthcare ...
• Constrained large-scale multiobjective optimization based on a competitive and cooperative swarm optimizer 

  Jinlong, Zhou; Zhang, Yinggui; Suganthan, Ponnuthurai Nagaratnam ( Elsevier , 2024 , Article)

  Many engineering application problems can be modeled as constrained multiobjective optimization problems (CMOPs), which have attracted much attention. In solving CMOPs, existing algorithms encounter difficulties in balancing ...
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  Vanilla Gradient Descent for Oblique Decision Trees 

  Panda, Subrat Prasad; Genest, Blaise; Easwaran, Arvind; Suganthan, Ponnuthurai Nagaratnam ( IOS Press , 2024 , Conference)

  Decision Trees (DTs) constitute one of the major highly non-linear AI models, valued, e.g., for their efficiency on tabular data. Learning accurate DTs is, however, complicated, especially for oblique DTs, and does take a ...
• Prediction and Feedback Assisted Evolutionary Algorithms for Scheduling Urban Traffic Signals 

  Lin, Zhongjie; Gao, Kaizhou; Duan, Peiyong; Wu, Naiqi; Suganthan, Ponnuthurai Nagaratnam ( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2025 , Article)

  With the acceleration of urbanization, the traffic congestion issue is becoming more and more prominent in large cities. The effective scheduling of urban traffic signals becomes critical. This study proposes three novel ...
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  Resilience Framework for Applying Virtual Processes for Accreditation in Higher Education to Address a Disruptive Situation 

  Madhoun, Iman; Hamouda, Abdel Magid; Ayari, Mohamed; Pokharel, Shaligram ( Emerald Publishing , 2025 , Dataset)

  This paper presents a resilience framework for implementing academic accreditation activities in higher education, with a focus on lessons learned from unexpected situations. It explores how the pandemic challenged academic ...
• A single-objective Sequential Search Assistance-based Multi-Objective Algorithm Framework 

  Peng, Chen; Liang, Jing; Qiao, Kangjia; Ban, Xuanxuan; Suganthan, P.N.; Lin, Hongyu; Zhang, Jilong... more authors ... less authors ( Elsevier , 2025 , Article)

  In recent years, multi-objective optimization has garnered significant attention from researchers. Evolutionary algorithms are proven to be highly effective in solving complex optimization problems in plenty of cases. ...
• An individual adaptive evolution and regional collaboration based evolutionary algorithm for large-scale constrained multiobjective optimization problems 

  Kunjie, Yu; Yang, Zhenyu; Liang, Jing; Qiao, Kangjia; Qu, Boyang; Suganthan, Ponnuthurai Nagaratnam... more authors ... less authors ( Elsevier , 2025 , Article)

  Large-scale constrained multiobjective optimization problems (LSCMOPs) refer to constrained multiobjective optimization problems (CMOPs) with large-scale decision variables. When using evolutionary algorithms to solve ...
• High frequency volatility forecasting and risk assessment using neural networks-based heteroscedasticity model 

  Aryan, Bhambu; Bera, Koushik; Natarajan, Selvaraju; Suganthan, Ponnuthurai Nagaratnam ( Elsevier , 2025 , Article)

  High frequency volatility forecasting is essential for timely risk management and informed decision-making in dynamic financial markets. However, accurate forecasting is challenging due to the rapid nature of market movements ...
• Your data is not perfect: Towards cross-domain out-of-distribution detection in class-imbalanced data 

  Xiang, Fang; Easwaran, Arvind; Genest, Blaise; Suganthan, Ponnuthurai Nagaratnam ( Elsevier , 2024 , Article)

  Out-of-distribution detection (OOD detection) aims to detect test samples drawn from a distribution that is different from the training distribution, in order to prevent models trained on in-distribution (ID) data from ...

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