Exploring online public survey lifestyle datasets with statistical analysis, machine learning and semantic ontology.

Lifestyle diseases significantly contribute to the global health burden, with lifestyle factors playing a crucial role in the development of depression. The COVID-19 pandemic has intensified many determinants of depression. This study aimed to identify lifestyle and demographic factors associated with depression symptoms among Indians during the pandemic, focusing on a sample from Kolkata, India.

Structure-activity relationships of thiadiazole agonists of the human secretin receptor.

Agonists of the secretin receptor have potential applications for diseases of the cardiovascular, gastrointestinal, and metabolic systems, yet no clinically-active non-peptidyl agonists of this receptor have yet been developed. In the current work, we have identified a new small molecule lead compound with this pharmacological profile. We have prepared and characterized a systematic structure-activity series around this thiadiazole scaffold to better understand the molecular determinants of its activity.

Fingerphoto morphing attack generation using texture descriptors based landmarks.

Smartphone-based biometric authentication has been widely used in various applications. Among several biometric characteristics, fingerphoto biometrics captured from smartphones are gaining popularity owing to their usability, scalability across different smartphones, and reliable verification. However, fingerphoto verification systems are vulnerable to both direct and indirect attacks.

Engineering a recombinant chitinase from the marine bacterium Bacillus aryabhattai with targeted activity on insoluble crystalline chitin for chitin oligomer production.

Chitin, an abundant polysaccharide in India, is primary by-product of the seafood industry. Efficiently converting chitin into valuable products is crucial. Chitinase, transforms chitin into chitin oligomers, holds significant industrial potential.