Formulation and characterization of novel dairy-based dip utilizing heat-acid-coagulated milk gel and whey.

An attempt was made to develop a novel dairy-based dip-like product from heat-acid-induced milk gel and whey. Based upon preliminary trials, the combination of cream (15-35%), whey (60-70%) and common salt (0.8-1.

Screening depression among university students utilizing GHQ-12 and machine learning.

The escalating incidence of depression has brought attention to the increasing concern regarding the mental well-being of university students in the current academic environment. Given the increasing mental health challenges faced by students, there is a critical need for efficient, scalable, and accurate screening methods. This study aims to address the issue by using the General Health Questionnaire-12 (GHQ-12), a well recognized tool for evaluating psychological discomfort, in combination with machine learning (ML) techniques.