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Mindfulness, compassion, and self-compassion among health care professionals: What's new? A systematic review
Health care professionals (HCPs) are a population at risk for high levels of burnout and
compassion fatigue. The aim of the present systematic review was to give an overview on …
compassion fatigue. The aim of the present systematic review was to give an overview on …
Self-powered sensing systems with learning capability
Self-powered sensing systems augmented with machine learning (ML) represent a path
toward the large-scale deployment of the internet of things (IoT). With autonomous energy …
toward the large-scale deployment of the internet of things (IoT). With autonomous energy …
Mindfulness, age and gender as protective factors against psychological distress during COVID-19 pandemic
Objective Mindfulness disposition is associated with various psychological factors and
prevents emotional distress in chronic diseases. In the present study, we analyzed the key …
prevents emotional distress in chronic diseases. In the present study, we analyzed the key …
Human-like problem-solving abilities in large language models using ChatGPT
Backgrounds The field of Artificial Intelligence (AI) has seen a major shift in recent years due
to the development of new Machine Learning (ML) models such as Generative Pre-trained …
to the development of new Machine Learning (ML) models such as Generative Pre-trained …
Predicting perceived stress related to the Covid-19 outbreak through stable psychological traits and machine learning models
The global SARS-CoV-2 outbreak and subsequent lockdown had a significant impact on
people's daily lives, with strong implications for stress levels due to the threat of contagion …
people's daily lives, with strong implications for stress levels due to the threat of contagion …
Identifying predictors of psychological distress during COVID-19: a machine learning approach
Scientific understanding about the psychological impact of the COVID-19 global pandemic is
in its nascent stage. Prior research suggests that demographic factors, such as gender and …
in its nascent stage. Prior research suggests that demographic factors, such as gender and …
How to improve compliance with protective health measures during the COVID-19 outbreak: testing a moderated mediation model and machine learning algorithms
In the wake of the sudden spread of COVID-19, a large amount of the Italian population
practiced incongruous behaviors with the protective health measures. The present study …
practiced incongruous behaviors with the protective health measures. The present study …
[HTML][HTML] An in-depth analysis of machine learning approaches to predict depression
Among all the forms of psychological and mental disorders, depression is the most common
form. Nowadays a large number of youths and adults around the world suffer from …
form. Nowadays a large number of youths and adults around the world suffer from …
Social and moral psychology of COVID-19 across 69 countries
The COVID-19 pandemic has affected all domains of human life, including the economic
and social fabric of societies. One of the central strategies for managing public health …
and social fabric of societies. One of the central strategies for managing public health …
The pandemic's toll on young adolescents: prevention and intervention targets to preserve their mental health
Purpose Adolescence is characterized by dramatic physical, social, and emotional changes,
making teens particularly vulnerable to the mental health effects of the COVID-19 pandemic …
making teens particularly vulnerable to the mental health effects of the COVID-19 pandemic …