Islamia University of Bahawalpur

A multimetric clustering approach for unbiased categorization of computer science journals: the framework proposed

Purpose The rank of a journal is usually quantified by a single metric like Impact Factor (IF), CiteScore or SCImago Journal Rank (SJR). To avoid bias due to the use of a single metric, a multimetric-based data-centric unsupervised machine learning framework is proposed for journ...

An intersection of machine learning and advanced econometric techniques to analyse sustainable development in Europe through resource efficiency, institutional quality, and ICT

Abstract Sustainable development is a critical challenge as well as an opportunity for modern economies, especially for European countries, where technological and institutional frameworks are increasingly evolving and reshaping. This prospective study investigates the role of re...

An Optimized Audio–Visual Deepfake Detection Framework Using Mamba Vision Transformers with Linear Complexity

The rise of advanced deepfake technologies presents new challenges to media authenticity, making it harder to spot manipulated videos through traditional approaches. Current approaches have a quadratic time complexity O(n2), poor cross-dataset generalization with 20 to 35% accura...

Impact assessment of co-management strategies on forest ecosystem in protected areas of Bangladesh using remote sensing and GIS based analysis

Co-management of Protected Areas (PAs) has emerged as a strategy to make forest restoration and biodiversity conservation more effective by encouraging the active participation of local people. This study analyzed the co-management effects in two protected areas i.e. Dharmapur Sh...

A Modular Framework for Simulating and Visualizing Digital Twin Factories

Digital Twin technology is becoming increasingly important in Industry 4.0, but many existing platforms are difficult to access, configure, and adapt for teaching and early-stage research. This paper presents a modular Digital Twin Factory framework that simulates and monitors th...

A Cu(II) complex-driven supramolecular array: synthesis, crystal structure, Hirshfeld surface analysis and application in dyes adsorption

Using benzilic acid (BA) and 1-Methylimidazole (1-Me-Imi) ligands, a new Cu(II) complex is prepared, formulated as, [Cu(BA)2(1-Me-Imi)2(H2O)] (1). In the structure, the Cu(II) metal ion adopted a distorted square-pyramidal geometry, completed by two BA ligands, two 1-Me-Imi ligan...

Smart policy, green innovation: The mediation role of environmental regulation

Digitalization has become a key enabler for sustainable transformation, as it increases technological capacity, optimizes resource use and facilitates green innovation. This study examines the link between digitalization, environmental regulations, and green innovation by employi...

Health, belonging, and structural inequality: Afghan refugee children’s experiences in Pakistan

Afghan refugee children living in Pakistan experience multiple health and social inequalities arising from displacement, poverty, legal insecurity, and discrimination. However, limited empirical evidence has examined how these structural conditions collectively influence children...

Designing Ni3N/CDTs heterostructure for superior alkaline electrochemical activity: Insights from theory to experiment

The creation of efficient oxygen evolution reaction (OER) electrocatalyst are vital for hydrogen energy sustainability. Here, Ni 3 N/CDTs has been synthesized through hydrothermal method that unveils enhanced conductivity, better electronic structure, having greater number of act...

Environmental contamination and human health risk assessment of trace element exposure through diverse water sources

Human activities such as industrial effluents, agricultural run-off, and other land-based sources of pollution contaminate water with trace elements, posing threats to both the environment and human health. This study investigates concentrations of three trace elements, namely ni...

β-carotene enhances drought tolerance in fenugreek by modulating antioxidant defense and redox homeostasis

Drought stress is one of the main abiotic factors that modulates the morphology and physiology of crops. This study investigated the effect of foliar application of β-carotene on the growth, physiological, and biochemical responses of fenugreek (Trigonella foenum-graecum L.) unde...

An improved SA-Net framework for multi-class skin disease diagnosis using deep learning and self-attention mechanisms

Skin diseases are among the most common global health concerns, and accurate diagnosis is complicated by the high similarity of symptoms across conditions. This paper proposes an Improved Self-Attention Network (SA-Net) for automatic multi-class skin disease diagnosis, combining...

Nanoparticle-mediated drought resilience in cereal crops from physiological modulation to sustainable agronomic translation

Nanotechnology offers transformative potential for mitigating drought stress in cereal crops, yet translation from controlled environments to field applications remains constrained by inconsistent outcomes, limited mechanistic understanding, and insufficient environmental risk as...

Postharvest application of hot water and ultraviolet light prolongs the marketable window of fresh grapes by maintaining physicochemical attributes during ambient storage

The short shelf life of table grapes, mainly due to moisture loss, oxidative stress, and loss of quality during ambient storage conditions, is a significant limitation in regions that do not have cold-chain facilities. The current research addresses this challenge by comparing th...

Recent Results on Nonlinear Retarded Integral Inequalities with Applications

This article establishes new retarded nonlinear integral inequalities that extend and generalize several known results in the literature, including recently reported estimates. These inequalities are used to derive explicit bounds for the unknown functions. These bounds are shown...

Physiological and transcriptional regulation of cadmium stress tolerance in ornamental pepper by silicon nanoparticles and melatonin

Nanotechnology has been established as a promising approach to improve heavy metal stress tolerance in horticultural crops. Melatonin (MT) is an emerging biostimulant for inducing stress resistance in plants. In this study, we evaluated the individual and combined effects of sili...

Design and engineering of layered double hydroxide-based composites for efficient wastewater treatment

Layered double hydroxides (LDHs), often referred to as hydrotalcite components, have gained popularity as wastewater treatment solutions due to their distinct lamellar structure, changeable metal arrangement, excellent anion exchange efficiency, and notable memory effect. However...