University of Science and Technology Bannu

Antidiabetic and renal biochemical effects of 70% aqueous methanolic Chenopodium murale extract in alloxan-induced diabetic rats

Abstract With the increasing prevalence of diabetes mellitus (DM), there is growing interest in affordable plant-derived products with potential antidiabetic activity. Chenopodium murale L. (CM) contains bioactive phytochemicals with reported antioxidant and metabolic effects, bu...

AAV9 Gene Therapy for Ovarian Dysfunction and Reproductive Aging: Molecular Mechanisms, Therapeutic Targets, and Translational Perspectives

Female infertility is a growing concern in developed countries as delayed childbearing and ovarian dysfunction become more common. Ovarian decline is characterized by follicular depletion, granulosa cell dysfunction, aneuploidy, spindle assembly defects, mitochondrial damage, DNA...

TTLD: transformer-based threatening language detection in urdu social media text

Organizations now treat social media activity as a live indicator of public sentiment, useful for decisions that depend on knowing what is happening in real time. The same platforms, however, also carry threatening language at scale, and that has direct consequences for public sa...

Spatiotemporal Variation of Vegetation and Its Responses to Climate Change in Pakistan

Abstract Changes in vegetation cover and its relationship with climate factors are crucial for ecosystem stability, especially in arid and semiarid regions like Pakistan. However, the impact of temperature and precipitation fluctuations on vegetation dynamics in these regions rem...

From shelves to smart systems: understanding AI adoption readiness in Pakistan's library sector using SEM-cIPMA analysis

Purpose Artificial intelligence (AI) can transform library services by enhancing efficiency and user experience. The adoption of AI in Pakistani libraries remains underexplored. Design/methodology/approach This study aims to identify the determinants of AI adoption intention amon...

Sequence Labeling in Urdu Social Media Texts: Data Annotation and Transformer-Based Deep Learning Models

Sequence labeling tasks such as part-of-speech (POS) tagging and named entity recognition (NER) have advanced significantly in high-resource languages and well-structured texts. However, low-resource languages, such as Urdu, face unique challenges due to limited annotated resourc...