Machine learning
As artificial intelligence (AI) increasingly shapes the educational landscape, research highlights the importance of promoting AI literacy in secondary education to equip students with the skills needed to navigate an AI-driven future. A recent study, supported by the National Science Foundation (NSF), aimed to understand how secondary students perceive AI,
Artificial intelligence
As artificial intelligence (AI) increasingly shapes the educational landscape, research highlights the importance of promoting AI literacy in secondary education to equip students with the skills needed to navigate an AI-driven future. A recent study, supported by the National Science Foundation (NSF), aimed to understand how secondary students perceive AI,
Attention deficit hyperactivity disorder
Researchers investigated the relationship between impulsivity, decision-making, and multisensory integration in individuals with Attention-Deficit/Hyperactivity Disorder (ADHD). The study involved 44 participants, 13 of whom had ADHD or Disruptive Behaviour Disorders, who completed a two-alternative forced-choice task involving visual and auditory stimuli. The results showed that participants performed similarly across
Attention deficit hyperactivity disorder
Researchers investigated the relationship between impulsivity, decision-making, and multisensory integration in individuals with Attention-Deficit/Hyperactivity Disorder (ADHD). The study involved 44 participants, 13 of whom had ADHD or Disruptive Behaviour Disorders, who completed a two-alternative forced-choice task involving visual and auditory stimuli. The results showed that participants performed similarly across
Artificial intelligence
Advances in artificial intelligence (AI), including machine learning and deep learning, are transforming total knee arthroplasty (TKA) by enhancing accuracy, efficiency, and personalized care. Researchers at Yeungnam University Medical Center in South Korea have demonstrated the potential of AI in various stages of TKA, from patient selection to postoperative rehabilitation.
Decision making
Research has aimed to disentangle the cognitive mechanisms that support learning, particularly the roles of reinforcement learning (RL) and working memory (WM). A recent study used the reinforcement learning working memory Linear Ballistic Accumulator (RLWM-LBA) model to investigate how RL and WM contribute to learning and shape choice behavior. The
Decision making
A recent study from Mae Fah Luang University in Chiang Rai, Thailand, has found that a mobile gaming app-based cognitive training program can significantly improve cognitive function in older adults with mild cognitive impairment (MCI). The research involved a randomized controlled trial of 42 participants, with 21 in the intervention
Decision making
Research has aimed to disentangle the cognitive mechanisms that support learning, particularly the roles of reinforcement learning (RL) and working memory (WM). A recent study used the reinforcement learning working memory Linear Ballistic Accumulator (RLWM-LBA) model to investigate how RL and WM contribute to learning and shape choice behavior. The
Decision making
A recent study from Mae Fah Luang University in Chiang Rai, Thailand, has found that a mobile gaming app-based cognitive training program can significantly improve cognitive function in older adults with mild cognitive impairment (MCI). The research involved a randomized controlled trial of 42 participants, with 21 in the intervention
Artificial intelligence
Researchers at the University of Naples Federico II have outlined the current state of artificial intelligence (AI) in pediatric robotic-assisted surgery (RAS), highlighting both the existing limitations and the promising potential of emerging AI-like technologies. AI is increasingly integrated into surgical practice, offering enhanced decision-making, precision, and workflow efficiency. However,
Cardiovascular research
Children with chronic aortic regurgitation may be at increased risk of complications due to inadequate surgical intervention. Traditional adult guidelines may not be applicable to pediatric patients, highlighting the need for research on cardiac MRI parameters in this population. A recent study from Stollery Children's Hospital in Edmonton,
Artificial intelligence
A new study published in the Discover Artificial Intelligence journal proposes an integrated framework using deep learning, machine learning, and multi-criteria decision analysis to assess ecotourism potential in India's Sundarban Biosphere Reserve. The researchers from the University of Delhi highlight the importance of sustainable ecotourism planning to balance
