Rational Design of Trametinib Analogues for MEK1 Inhibition An In Silico Approach

Trametinib, a selective MEK inhibitor, is widely used in the treatment of several cancers. This study aimed to designtrametinib analogues with enhanced MEK1 inhibition using an in silico strategy. Structural modifications to the trametinib scaffold were explored through molecular docking. A library of 34 compounds was assessed, among which compounds 1C and 2R demonstrated more …

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Trust and Transparency: Investigating University Students’ Attitudes Toward Responsible AI

As Artificial Intelligence (AI) becomes increasingly embedded in higher education, concerns surrounding Responsible Artificial Intelligence (RAI), particularly trust and transparency have moved from abstract ethical discussions to practical institutional challenges. While existing research has largely focused on technological capabilities and learning outcomes, empirical evidence on university students’ perceptions of Responsible AI remains limited, especially in …

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Implementing BIM for Economic Sustainability – Addressing Adoption Challenges in Sri Lankas Residential Construction Sector

This paper examines the potential of Building Information Modeling (BIM) to enhance economic sustainability in Sri Lanka’s residential construction sector by building upon an existing dissertation and relevant literature. A mixed-methods approach comprising a structured questionnaire administered to 25 industry professionals and in-depth interviews with three experts (a civil engineer, a structural design engineer, and …

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Next-Generation Computing Frameworks – Harnessing Quantum-Inspired Algorithms for Scalable and Resilient Systems

The growing demand for computational power has surpassed the capacity of traditional systems, creating an urgent need for innovative approaches. This study introduces a next-generation computing framework that integrates quantum-inspired algorithms, adaptive machine learning, and distributed architectures to achieve scalability, fault tolerance, and energy efficiency. The proposed framework reduced computation time by 40% (from 1050 …

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Spatial Analysis of Soil Erosion in the Badrah Watershed Using the RUSLE Model and GIS Considering Rainfall Intensity

Soil erosion is a major environmental issue affecting land productivity, water quality, and ecosystem stability, particularly in semi-arid regions. This study employs the Revised Universal Soil Loss Equation (RUSLE) model integrated with Geographic Information Systems (GIS) and remote sensing techniques to assess the spatial patterns of soil erosion within the Badrah watershed, Iraq, considering rainfall …

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