Results 231 to 240 of about 36,942 (305)
ADHD symptoms were associated with lower happiness, largely mediated by somatic and mental health factors—particularly physical symptoms, confusion/difficulty concentrating, and depression—highlighting the importance of targeting these modifiable mediators to improve well‐being.
Norio Sugawara +3 more
wiley +1 more source
This study examined the association between attention‐deficit/hyperactivity disorder (ADHD) traits and gray matter volume (GMV) in 534 healthy young adults. Higher Hyperactivity/Restlessness scores were associated with greater GMV in the right dorsolateral prefrontal cortex (DLPFC), a region implicated in executive control and behavioral regulation. No
Haruka Asaoka +4 more
wiley +1 more source
In a cohort of 149 patients with anorexia nervosa treated in a Japanese medical prison, where follow‐up duration is predetermined by remaining sentence length, we examined its association with treatment outcomes. Longer remaining sentence length was significantly associated with favorable outcomes, defined as clinical improvement enabling transfer back
Wataru Nakagawa +5 more
wiley +1 more source
Abstract Aim The Early Start Denver Model (ESDM), a core Naturalistic Developmental Behavioral Intervention (NDBI), promotes developmental gains in young children with autism spectrum disorder (ASD) through socially embedded learning. Because high‐intensity ESDM programs (approximately 20 h/week) are difficult to implement in many Japanese clinical ...
Yukie Tateno +3 more
wiley +1 more source
A machine‐learning approach combining wearable‐derived core body temperature (CBT) and actigraphy‐derived sleep indices showed preliminary discrimination between euthymic patients with bipolar disorder (BD) and normal controls. Total sleep time, wake time, and the wake time–CBT nadir phase difference were key contributors. Abstract Aim This study aimed
Kazuhiro Kurihara +8 more
wiley +1 more source
Machine learning techniques play an important role in analyzing spectral data. Fish biomass spectral data is useful in fish production as it carries key chemical properties of fish meat. However, it is challenging for existing machine learning techniques to comprehensively discover hidden patterns from fish biomass spectral data because the spectral ...
Zhixing Huang +5 more
wiley +1 more source
A Resource Efficient Ising Model‐Based Quantum Sudoku Solver
ABSTRACT Background Quantum algorithms exploit superposition and parallelism to address complex combinatorial problems, many of which fall into the non‐polynomial (NP) class. Sudoku, a widely known logic‐based puzzle, is proven to be NP‐complete and thus presents a suitable testbed for exploring quantum optimization approaches.
Wen‐Li Wang +5 more
wiley +1 more source
Intelligence Quotient, Anxiety, and Depression in Congenital Hypothyroid Children at School Age.
Nekouei M +10 more
europepmc +1 more source
ABSTRACT Objectives There is a need for ecologically valid measures of real‐life cognitive functioning. We investigated: (I) the sensitivity of the Cognition Assessment in Virtual Reality (CAVIR) test, which assesses daily‐life cognitive skills in an immersive virtual reality kitchen scenario, to capture cognitive impairments in a Spanish sample of ...
Natalia E. Fares‐Otero +13 more
wiley +1 more source
Abstract Objectives Self‐beliefs and other‐regarding beliefs are related to attachment experiences and may contribute to paranoid beliefs and social functioning difficulties in psychosis. However, their relationships have not been examined jointly from an ecological perspective, while considering different degrees of psychosis risk.
Pilar de‐la‐Higuera‐Gonzalez +5 more
wiley +1 more source

