Bahria University

Comparing Temporal Averaging and Transformer Encoders for Video-Based Cattle Behavior Classification Under Severe Class Imbalance

Automated cattle behavior monitoring from video is challenging due to severe class imbalance and the need for efficient temporal modeling. We compared four architectures on 542 videos containing standing, lying down, and rumination; rumination appeared only six times, while two d...

Project governance, inclusive leadership and knowledge integration: an analysis of employee mental health in multi-project environments

Purpose This study aims to examine how project governance and inclusive leadership influence the mental health of project team members engaged in multiple simultaneous projects. It also investigates the mediating role of knowledge integration and the moderating role of project as...

Between career and care: exploring the encouraging and discouraging factors affecting women’s work–life balance in Pakistan’s banking industry

Purpose Women have always been a segment of organizational success, but occasionally, they become entangled in the circle of life that affects their work–life balance. Therefore, this paper aims to explore positive and negative factors affecting women’s work–life balance. Design/...

Immersive affordances and problematic consumption in virtual reality erotic content use: extending a Cognitive-Behavioral Model

Abstract Existing cognitive-behavioral accounts of problematic technology use were developed for screen-based media and do not incorporate the distinctive immersive affordances of virtual reality (VR). Drawing on the Cognitive-Behavioral Model, this study tests an extended model...

Lupeol increases antioxidants in Triticum aestivum to mitigate cadmium stress under in vitro conditions

Presence of heavy metals in culturing media and soil badly impact on the growth, development, and yield of plants. Availability of stress-mitigating molecules in the environment strengthens the plant to face such stresses. Lupeol has recently been investigated as a drought stress...

From strategy to execution: how green marketing orientations influence sustainability performance through sequential mediation

Purpose This research aims to analyze the impact of strategic and tactical green marketing orientations (TGMO) on the sustainability performance (SP) of small and medium-sized enterprises (SMEs) in the textile manufacturing sector. It further examines the mediating roles of inter...

Post-Procedural Angiography-Based Physiological Indices and Clinical Outcomes After Drug-Coated Balloon Treatment of In-Stent Restenosis

Drug-coated balloons (DCBs) represent an accepted approach for in-stent restenosis (ISR); however, post-procedural predictors for risk stratification remain limited. Angiography-based physiological parameters, including quantitative flow ratio (QFR), microvascular QFR (μQFR), and...

An explainable AI framework for early mental health screening and clinical decision support using reflective listening and generative AI

Mental health disorders represent a significant global public health challenge, and many individuals remain unidentified during the early stages due to limited awareness, social stigma, and restricted access to mental healthcare services. Recent advances in Artificial Intelligenc...

Unmasking the Impact of Teaching Workload on Learning Outcome Attainment in Outcome-Based Engineering Education: A Multi-Level Analysis of CLO and PLO Achievement

Outcome-Based Education (OBE) has been widely adopted in engineering education as a systematic framework for curriculum design, teaching, assessment, and Continuous Quality Improvement (CQI) through clearly defined learning outcomes. Effective implementation of OBE requires conti...

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...

Cross-modal audio-text attention for multimodal multitask speech emotion recognition in low-resource Urdu

Speech Emotion Recognition (SER) in low-resource languages remains challenging due to limited annotated data, speaker variability, and the multimodal nature of emotional expression. This paper repositions established components wav2vec 2.0, XLM-R, cross-modal attention, and multi...

Interpretable ECG Arrhythmia Classification via 1D-CNN and Grad-CAM: Evaluating Lead-Wise Attention and Cross-Institutional Generalization on PTB-XL

Deep learning models for automated ECG interpretation are typically evaluated only in-domain, leaving open whether they generalize to recordings from other institutions. We present ECGNet, a compact 1D convolutional network (~47,000 parameters) trained on PTB-XL for multi-label c...

Angiography-Derived vs Wire-Based Physiological Assessment in Coronary Artery Disease: A Systematic Review and Meta-Analysis of Randomized Controlled Trials

This study aimed to determine whether angiography-based physiological assessment yields clinical outcomes comparable to those of conventional wire-based pressure measurements in patients with coronary artery disease (CAD) undergoing evaluation of intermediate coronary stenoses. A...

Heat transfer and entropy analysis of shaped nanoparticles in stratified binary nanofluid flow over an exponentially curved Riga surface

The problem of controlling heat transmission and flow efficiency in advanced engineering systems, such as aerospace thermal management and next-generation cooling devices, is critically hampered by energy losses due to friction and thermal irreversibility. This study addresses th...

Multimodal behavioral fingerprinting of IoMT devices a forensic approach using network and biometric signatures

The Internet of Medical Things (IoMT) has revolutionized healthcare by enabling continuous remote patient monitoring; however, it has also introduced critical vulnerabilities where cyber-attacks can directly threaten patient safety. Traditional digital forensics as well as intrus...

Exosomal microRNAs in tumor–heart crosstalk: nanobiological mechanisms and therapeutic implications

Exosomes are nanosized extracellular vesicles (30–200 nm) that function as natural nanocarriers for intercellular communication by transporting biological macromolecules, particularly microRNAs (miRNAs). These small, non-coding RNA macromolecules regulate gene expression post-tra...

Interpretable ECG Arrhythmia Classification via 1D-CNN and Grad-CAM: Evaluating Lead-Wise Attention and Cross-Institutional Generalization on PTB-XL

Deep learning models for automated ECG interpretation are typically evaluated only on the dataset they are trained on, leaving open the question of whether they generalize to recordings from other institutions. We present ECGNet, a compact 1D convolutional network (~47,000 parame...

Equilibrium Conditions Equation and Motion Types Equation

In this article I introduced a single equation that can represent 4 conditions of equilibrium (since I introduced two more conditions therefore the number is 4) after which I introduced an equation for object undergoing many different motion types shift in small interval.

Equilibrium Conditions Equation and Motion Types Equation

In this article I introduced a single equation that can represent 4 conditions of equilibrium (since I introduced two more conditions therefore the number is 4) after which I introduced an equation for object undergoing many different motion types shift in small interval.

The Role of Relational Stakeholder Management, Trust, and Leadership in the Success of Sustainable Construction Projects

This study aims to examine the role of Relational Stakeholder Management (RSM) on the success of sustainable construction projects in urban areas of Pakistan. The study also examines the mediating role of trust (competence trust, integrity trust, and intuitive trust) and the mode...