The Biopsychosocial framework for Mental Health considers biological, psychological, and social factors that influence mental health. It includes risk factors (such as genetics, brain chemistry) and protective factors (like social support, coping skills) that affect mental well-being.
According to Lazarus and Folkman’s model, stressors can be categorized into pressures, hassles, events, acculturative, major, and catastrophes.
Hyperparameter tuning involves adjusting parameters of a machine learning model to optimize its performance. This process can be done manually or with automated algorithms. It is iterative, with different combinations of parameters tested to maximize the target metric, like accuracy. Cross-validation is often used to ensure the model generalizes well.
External knowledge sources like databases or documents provide contextual information for RAG models to generate accurate responses, particularly when the information is not present within the model itself.
Regular exercise improves brain health by increasing brain volumes in key regions responsible for cognitive skills like memory and learning. Additionally, exercise increases gray and white matter volumes, aiding information processing and connectivity between brain regions.
RPT6 is part of the proteasome complex in the hippocampus and also regulates gene expression during memory formation.
Peer review is a process where experts in the same field evaluate a researcher’s work before it is published. It ensures the quality, credibility, and improvement of research by assessing methodology, accuracy, and relevance. It prevents flawed research from being published and provides feedback for authors to enhance their work.
The scientific method is a systematic approach to acquiring knowledge through observing phenomena, formulating hypotheses, conducting experiments, analyzing data, and drawing conclusions. It ensures that discoveries are based on empirical evidence.
