University of Wah

Open-Loop Deep Brain Stimulation Versus Closed-Loop Responsive Neurostimulation in Drug-Resistant Bitemporal Epilepsy: A Narrative Review

Abstract Drug-resistant bitemporal epilepsy presents a therapeutic challenge when resective surgery is not feasible due to bilateral seizure onset or eloquent cortex involvement. Neuromodulation has emerged as an alternative, with open-loop deep brain stimulation (DBS) and closed...

Multimodal glocalisation approach for analysing university branding strategies: the case of pakistan on X

Social media has become central to how universities construct and project their institutional identities. This paper advances branding and multimodality research by introducing a multimodal glocalisation approach to university branding on X, integrating discourse-semiotic princip...

Low-dose combination antihypertensive therapy versus standard therapy in adults with hypertension: a systematic review and meta-analysis of randomized controlled trials

Abstract Background Low-dose combination-based antihypertensive therapy has emerged as a promising strategy to improve blood pressure (BP) control while minimizing dose-related adverse effects. However, evidence comparing its efficacy and safety with conventional antihypertensive...

Synthesis and Characterization of Ternary Metallic Oxide (Zn-Mn-AgO) Nanoparticles and Their Photocatalytic Degradation Performance for Malachite Green Dye

In this work, a Zn-Mn-AgO ternary metal oxide nanoparticle was prepared through a straightforward co-precipitation route and evaluated as a photocatalyst for degrading malachite green dye. We used Scanning electron microscopy (SEM), Fourier-transform infrared spectroscopy (FTIR),...

Pumping Power Reduction in Crude-Oil Pipeline Transportation: CFD Validation and Kolmogorov–Arnold Network Surrogate Modelling

Precise prediction of pressure drop and drag-reduction performance is essential for improving the hydraulic efficiency and reducing the energy demand of crude-oil pipeline transportations. Therefore, this study aims to develop an integrated computational fluid dynamics (CFD)–mach...

Interventional Attribution of Semantic and Surface Novelty for Open-World Text Classification

This preprint presents an intervention-based attribution framework for open-world text classification that distinguishes surface-level novelty from semantic-level novelty. The approach uses controlled views of the same input to identify whether apparent novelty is caused primaril...

Comparative efficacy and safety of oral iron polymaltose complex vs. ferrous sulphate in the treatment of pediatric iron deficiency anemia: a systematic review, meta-analysis and trial sequential analysis

Oral iron supplementation is the first-line therapy for pediatric iron deficiency anemia (IDA). Ferrous sulphate (FS) remains the conventional standard of care but frequently induces gastrointestinal (GI) adverse effects. Iron polymaltose complex (IPC) has emerged as an alternati...

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...

SELM-CTR: a stacking ensemble deep learning model with SHAP-based analysis for large-scale click-through rate prediction

Purpose Click-through rate (CTR) prediction is a core challenge in digital advertising, as forecasting whether a user will click on an advertisement directly determines ad placement decisions and revenue outcomes. Standard machine learning and deep learning approaches achieve rea...