Siddhartha Medical College

Comparative evaluation of ZnCl₂, KOH, and H₃PO₄ activated rice husk–neem leaf adsorbents for phenol adsorption

In the present study, the adsorption capacity of Rice Husk and Neem Leaf Powder (RHNL) activated using three chemical agents, ZnCl₂, KOH and H₃PO₄ with a 1:3-chemical to biomass ratio has been investigated to make biomass-derived activated adsorbents for phenol removal. Adsorptio...

DAVis-Net: A Dual-Attention Deep Supervision Framework for Reliable Retinal OCT Image Classification with Integrated Explainability and Uncertainty Quantification

Classification accuracy in retinal optical coherence tomography (OCT) alone does not establish whether a model is reliable or whether to refer to a specialist. To address this, we propose DAVis-Net, a VGG16-based architecture that is equipped with two Convolutional Block Attentio...

Quantum-enhanced deep learning for Parkinson’s disease classification

Abstract Parkinson’s disease (PD) involves a slowly advancing neurological condition that profoundly impairs motor as well as cognitive abilities, making prompt and precise diagnosis essential for successful treatment. Diagnosing PD using MRI images is difficult because of subtle...

Dataset for: Knowledge, Attitude and Practice about COVID-19 among the Adult Population of a Sub-urban Community in Bangladesh

Covid-19 is a major public health concern globally and also in Bangladesh. The highly transmissible Covid-19 has plagued the worldwide population with a continuous upward thrust of the death toll, which might be related to insufficient knowledge, attitude and practice (KAP) score...

Artificial intelligence modelling of cobalt chromite (CoCr 2 O 4 ) nanofluid flow over a curved surface with melting phenomena and nonlinear thermal radiation

This research looks at the incompressible flow of a cobalt chromite nanoparticle mixed with water and ethylene glycol in a 50:50 ratio, passing through a Darcy–Forchheimer porous medium with a curved stretching surface embedded in it. Included in the model are four typically hand...

A Deep Learning Model for Prediction of Unknown Gene Functionality: Gene Bio‐BERT

The Human Genome Project (HGP) was a large international research effort that timelined between 1990 and 2003, marking the successful mapping of the entire human genome. Despite the promising performance of deep learning models, especially LLMs like Bio-BERT and ProtBERT on well-...

Circulating microRNAs: a new era in early detection of oral squamous cell carcinoma (OSCC) — a systematic review and meta-analysis

BACKGROUND: The chances of oral squamous cell carcinoma (OSCC) being diagnosed at an early stage are very low, and this leads to a poor prognosis. The presence of circulating miRNAs (miRNAs) in blood or saliva is now a potential non-invasive diagnostic biomarker, although the dia...