Assessment of Quality of Life in Chronic Otitis Media After Type 1 Tympanoplasty - An Observational Study.

This study is aimed to assess the outcome of Type-1Tympanoplasty in patients of Chronic Otitis Media (COM)- mucosal type and document the associated hearing gain and correlate it with the improvement in Quality of life (QOL) using COMOT (Chronic Otitis Media Outcome Test) 15 scoring. A hospital based prospective study was carried out in a tertiary care centre on 80 patients of mucosal type of COM. Patients were given COMOT 15 questionnaire to score the symptoms and pure tone audiometry (PTA) was done to assess hearing level.

Intrinsic stiffness and -solvent regime in intrinsically disordered proteins: Implications for liquid-liquid phase separation.

Liquid-liquid phase separation (LLPS) exhibited by intrinsically disordered proteins (IDPs) depends on the solvation state around the -regime, which separates good from poor solvent. Experimentally, the -solvent regime of the finite length () IDPs, as probed by small angle X-ray scattering (SAXS) and single molecular fluorescence resonance energy transfer (smFRET), is in disagreement. Using computer simulations of a coarse-grained IDP model, we address the effect of chain length on the -regime of IDPs with polar side chains (polyglutamine) and hydrophobic side chains (polyleucine) subject to varying concentrations of cosolvents , urea (denaturant) or trimethylamine N-oxide (protective osmolyte) in water.

Salts Influence IDP Properties by Modulating the Population of Conformational Clusters.

Salts readily alter the physical properties of intrinsically disordered proteins (IDPs) rich in charged residues. Using a coarse-grained IDP model and computer simulations, we investigated how salts affect the heterogeneous conformational ensemble and segment-level structures of the IDP prothymosin-α, classified as a polyelectrolyte. We show that clusters of conformations with distinct structural features are present within the conformational ensemble of prothymosin-α by projecting it onto a two-dimensional latent space with the aid of autoencoders.

An extensive experimental analysis for heart disease prediction using artificial intelligence techniques.

The heart is an important organ that plays a crucial role in maintaining life. Unfortunately, heart disease is one of the major causes of mortality globally. Early and accurate detection can significantly improve the situation by enabling preventive measures and personalized healthcare recommendations.