Institution
Assam Down Town University
Recent research
- Climate & Environment
Sustainable assessment of analytical techniques in COVID-19 pharmacotherapy: A greenness perspective
The rapid development of analytical methods during the COVID-19 pandemic has pointed to the importance of chromatographic and mass spectrometric systems for drug quantification. In this review, the ecological sustainability of HPLC, UHPLC, LC-MS and LC-MS/MS workflows is critical...
- Health & MedicineOpen access
Co-occurrence of polysubstance use among drug-dependent indigenous youth in the Himalayan region
Polysubstance use is a major public health issue among marginalized Indigenous youths in Northeast India. Ukhrul District, Manipur, is a remote tribal area where the drug dependence burden is high and district-level epidemiological data remain scarce. A cross-sectional, quantitat...
- Health & MedicineOpen access
Background Artificial intelligence (AI)-assisted retinal screening may extend access to eye care in primary healthcare, but prospective evidence on diagnostic performance and implementation under routine community conditions remains limited. Methods We conducted a prospective mul...
- Health & MedicineOpen access
Tele-Optometry and Mobile Eye Care Units: A Rural Vision Care Model for India
India accounts for about 20% of the world’s visually impaired population. Rural and underserved populations are disproportionately affected by avoidable causes of blindness such as uncorrected refractive errors, cataracts, diabetic retinopathy, and glaucoma. Traditional facility-...
- Physics & SpaceOpen access
Geometric and wave optics analysis of BTZ-like charged wormholes with disclinations
We study the geometric and wave-optical properties of a charged BTZ wormhole (BTZCWH) spacetime carrying disclinations. The metric function \(f(r)=1-b_0/r-\mathcal {Q}^2 r^2/4\) has two positive zeros, an inner throat \(r_0\) and an outer zero \(r_*\) ; the static Lorentzian desc...
- Health & MedicineOpen access
DASTNet-X: an explainable dual-attention based spatio-temporal network for arrhythmia classification
Deep learning (DL) models have demonstrated strong performance in electrocardiography (ECG) arrhythmia classification. However, the criteria and processes for selecting ECG samples for analysis are often unclear. This lack of transparency, together with the challenge of interpret...
- Health & Medicine
Euphorbia antiquorum L. (Euphorbiaceae), a traditionally used Asian medicinal plant, was systematically evaluated for its antidiabetic efficacy through a bioactivity-guided approach integrating in vitro, in vivo, and in silico studies. Among the four solvent fractions of the etha...