Buddhānussati, the recollection of the Buddha in Theravāda Buddhism, serves multiple soteriological functions beyond being merely a preliminary devotion. It can facilitate access concentration (upacāra samādhi) and the growth of wisdom through contemplation of the Buddha's attributes, potentially paving the way toward liberation (Nibbāna). The practice is not limited to reinforcing faith and ethical behavior but can generate the concentration needed for meditative absorption and subsequent insight, depending on practitioner ability and context.
Gradient Boosting outperforms Random Forest, Support Vector Machines, and Neural Networks in predicting emotions such as happiness, sadness, fear, and anger from dream reports. Using a dataset of 5,000 labeled dream reports, the models were evaluated on accuracy, precision, recall, F1-score, and AUC-ROC. Gradient Boosting achieved the highest accuracy and AUC-ROC values, making it the most effective model for emotion prediction in dreams. The findings indicate that AI can offer insights into the subconscious mind and has potential applications in psychology and mental health.
This paper surveys historical and contemporary philosophical theories of mind, including dualism, materialism, and functionalism, and examines the problem of other minds and the debate between internalism and externalism. It argues that reconciling subjective experience with objective observation remains a central challenge in both philosophy and psychology. The analysis underscores the intricate nature of philosophical inquiries into consciousness and mental states.