Gen silencing studies demonstrate that AEG-1 knockdown reduces proliferation, promotes apoptosis, and enhances sensitivity to chemotherapeutic agents such as cisplatin, doxorubicin, and temozolomide, and support its potential as a target for combinatorial therapeutic strategies to improve outcomes in aggressive brain a...
S. Mohammad, A. Vasudevan, M. Al-Khreisat et al.· Tissue & Cell· 0 citations
Whether students perceive the AI learning companion as “genuinely useful” matters more for their adoption than whether it is “easy to use,” and this adoption is further associated with the development of higher-order thinking.
Yi-Ting Qiu, Wen Liu, Wen-Jie Zhang et al.· International Education Foru...· 0 citations
This paper proposes a new dynamic feature fusion technique called adaptive gated cross attention fusion (AGCAF), which utilizes a learnable gating function and two-way cross attention to dynamically weight each contribution of features from the DeIT and ViT backbones.
Suhaila Abuowaida, H. Owida, H. Mashagba et al.· International Journal of Dat...· 0 citations
Passive tuned mass dampers are effective near their design frequencies but can lose performance or exceed travel limits when structural properties are imprecise. This paper develops an interval type-2 fuzzy α-plane minimax method for the simultaneous allocation, tuning, and damping design of a three-absorber bank on a...
Sulieman Ibrahim Mohammad, Yogeesh Nijalingappa, Seif Al Bustanji et al.· Sound & Vibration· 0 citations
Abstract The transitional shift from a linear production-consumption-disposal model towards a circular economy model leads to ecosystem pressure reduction while maintaining biodiversity protection. This study develops and assesses waste-to-resource biotechnology systems to determine their impact on biodiversity conserv...
S. Mohammad, A. Vasudevan, M. I. Al-Maaitah et al.· Brazilian Journal of Biology· 0 citations
Small and medium enterprises (SMEs) play a critical role in driving economic growth, employment, and innovation, particularly in emerging economies such as Malaysia. Despite their contributions, many SMEs struggle to achieve long-term sustainability due to resource constraints, technological disruption, and increasing...
Maryam Jameelah Hashim, Shamsiah Banu Mohamad Hanefar, Suleiman Shlash Mohammad et al.· International Review of Mana...· 0 citations
Artificial intelligence has become a core enabling factor for raising the standard of sustainable project management, and it can effectively strengthen organizational capacity, innovation levels, and the quality of environmental decision-making. Against this backdrop, this study is an original empirical study focused o...
S. Mohammad, Attallah Hassan Mohamed Al-Taani, A. Vasudevan et al.· Journal of Project Managemen...· 0 citations
The biogenesis, classification, isolation methods, and molecular content of EVs are reviewed, and their role in the pathogenesis, diagnosis, and treatment of the most important neurodegenerative diseases is analyzed.
S. Mohammad, A. Vasudevan, G. Oriquat et al.· Behavioural Brain Research· 0 citations
Gearbox failures represent a critical problem faced by industrial machines, considering the impacts of such failures on machine reliability, efficiency, and maintenance cost. Despite the well-established use of vibration-based condition monitoring techniques for diagnosing the presence of faults, few attempts have been...
A. Vasudevan, S. Mohammad, M. Hunitie et al.· Sound & Vibration· 0 citations
A Multi-Criteria Decision Analysis framework is proposed and applies to assess carbon emissions, water use, energy consumption, social impacts and governance structures across three scenarios (business-as-usual), suggesting that under the BAU high-growth scenario, modelled emissions increase substantially by 2035, whil...
Abdelrehim Awad, Bshair Alharthi, Hiyam Abdulrahim et al.· Frontiers in Environmental S...· 2 citations
This study demonstrated that AI-powered assessment captures more dimensions of engagement and applies more equity and transparency in evaluation practices, although success in these areas hinges on the delicate balance between technological bias and student trust.
S. Mohammad, Badrea Al Oraini, Hanan Jadallah et al.· 0 citations
The NexusOpti model, incorporating the Enhanced Gated Recurrent Unit (E-GRU) layer, outperforms the existing GRU model in terms of NDCG and Hit Ratio metrics and highlights the effectiveness of the model in advancing personalised, safer, and data-driven medication prescriptions.
Harichandra Khalingarajah, A. Vasudevan, P. Abinaya et al.· Scientific Reports· 0 citations
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