University of Lahore

Decoding the greybody factor and potential barriers in a static black hole with quantum corrections

Abstract This article investigates the greybody factor of a static, spherically symmetric black hole coupled with the effective quantum gravity. With the use of Klein–Gordon equation, the radial component for a massless scalar field is computed. We then employ the tortoise coordi...

Novel cadmium complexes of mixed ligands sulfamethoxazole (SMX) derivatives as potent anticancer agents (MTT assay)

Schiff base of 4-amino-N-(5-methyl-1,2-oxazol-3-yl)benzenesulfonamide was derived from 2-hydoxybenzaldehyde. Cd (II) complexes were ([Cd(SMX)2Cl2] and [Cd(SB)2Cl2]) and its mixed ligand complex, [Cd(S.B)(1,10-Phen)Cl2]. 2H2O were synthesized and characterized on the basis of thei...

Health Under Haze: Symptom Burden Among Adult Outpatients During the 2024‐2025 Winter Smog Season in Lahore, Pakistan

ABSTRACT Background Severe urban air pollution is a major public health challenge in many low‐ and middle‐income countries. Lahore experiences recurrent winter smog episodes with pollution levels far exceeding international guidelines, but hospital‐based evidence on associated sy...

A narrative review of Zika virus cardiotropism and atrial fibrillation from pathogenesis and diagnostic challenges to inflammation aware management

Systemic inflammation is a key driver of atrial fibrillation (AF), but the mechanisms linking specific viral triggers to arrhythmogenesis are not fully understood. Zika virus (ZIKV) infection, which can induce a significant inflammatory response, provides a compelling clinical mo...

Unified multi-task YOLO-Lite framework for road defect detection and image-level classification with edge-optimized quantization and explainable visual inference

Automated road defect assessment requires models that can accurately localize pavement damage, identify the overall defect category, and operate with limited computational resources. However, most existing approaches address object-level detection and image-level classification u...

Mantra of sustainability, navigating organizational ambidexterity: cultivating intellectual capital to drive competitive advantage and innovation capabilities

Purpose This paper aims to investigate the relationship between intellectual capital (IC), organizational ambidexterity (OA) and emergent strategies (ES) within the hospitality industry in Pakistan. Design/methodology/approach This study is based on the resource-based view theory...

A hybrid machine learning framework using fractional order dynamics to predict fish toxicity in aquatic ecosystems

Accurate prediction of chemical toxicity to aquatic organisms remains a critical challenge in environmental risk assessment. Traditional machine-learning (ML) models capture static correlations but cannot represent time-dependent, memory-driven processes such as bioaccumulation a...

Measuring the drawdown risk and recovery potential of self-regulatory organizations in response to war events

Purpose The purpose of this study is to assess the impact of war events on the performance of self-regulatory organizations (SROs), specifically equity markets. Furthermore, it is segregated into classifications: developing, emerging, stand-alone and frontier regions, including A...

Arsenic removal from wastewater using the bio-based graphene oxide and magnetite nanocomposites: reaction kinetic study

Water contamination with arsenic (As) is a global issue challenging the environment, ecosystem, and human health. Among arsenic decontamination techniques, sorption is highly acknowledged, efficienct, low cost and simple technique and gaining much interest in recent decades. Effi...