Integrating artificial intelligence to assess emotions in learning environments: a systematic literature review.

Introduction: Artificial Intelligence (AI) is transforming multiple sectors within our society, including education. In this context, emotions play a fundamental role in the teaching-learning process given that they influence academic performance, motivation, information retention, and student well-being. Thus, the integration of AI in emotional assessment within educational environments offers several advantages that can transform how we understand and address the socio-emotional development of students.

Adaptive neighborhood rough set model for hybrid data processing: a case study on Parkinson's disease behavioral analysis.

Extracting knowledge from hybrid data, comprising both categorical and numerical data, poses significant challenges due to the inherent difficulty in preserving information and practical meanings during the conversion process. To address this challenge, hybrid data processing methods, combining complementary rough sets, have emerged as a promising approach for handling uncertainty. However, selecting an appropriate model and effectively utilizing it in data mining requires a thorough qualitative and quantitative comparison of existing hybrid data processing models.

Positive mental health of Latin American university professors: A scientific framework for intervention and improvement.

The post-pandemic stage covid-19 has revealed overloads, ambiguities, and conflicts of teachers in the performance of new roles in hybrid classrooms that demanded an urgent adaptation, this highlighted the need for priority attention to the mental health of teachers, however, there are still insufficient studies that transcend the diagnosis and are committed to establish proposals for improvement. : This study aims to establish a proposal for the promotion of positive mental health (PMH). The study was deployed from a qualitative approach; using an ethnomethodological design that allowed studying how teachers create meanings and sense in their work context, an appreciative interview was conducted with an affirmative theme that allowed teachers to expose their experiences that were systematized and processed with ATLAS.

Mediterranean Diet and Sleep Features: A Systematic Review of Current Evidence.

The prevalence of sleep disorders, characterized by issues with quality, timing, and sleep duration is increasing globally. Among modifiable risk factors, diet quality has been suggested to influence sleep features. The Mediterranean diet is considered a landmark dietary pattern in terms of quality and effects on human health.

Translation and cross-cultural adaptation to Brazilian Portuguese of two brief screening tools for at-risk psychosis youth: the Prodromal Questionnaire (PQ-16) and the PRIME-Screen.

Introduction: Prodromal characteristics of psychosis have been described for more than a century. Over the last three decades, a variety of studies have proposed methods to prospectively identify individuals (and youth in particular) who are at high risk of developing a psychotic disorder. These studies have validated various screening instruments and made them available in several languages.

Barriers to care and psychopathology among Bolivian migrants living in São Paulo, Brazil.

The objective of this study was to investigate barriers to appropriate mental health care in a sample of Bolivian migrants living in São Paulo and to examine the association between barriers of care and the presence of symptoms of non-psychotic psychiatric disorders in this population. Considering that treatment usually reduces symptoms, it could be hypothesized that individuals reporting more barriers to care also will report more symptoms. The sample comprised 104 individuals born in Bolivia, with Bolivian nationality and living in São Paulo for at least 30 days prior to enrolling in the study, between 18 and 80 years of age and able to read and write in Spanish or Portuguese.