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Tool use is taxonomically associated with high behavioural flexibility and innovativeness, and its prevalence is greater in primates and some bird species. This association, however, is not known to be causally determina...

Abstract Working memory training (WMT) is widely used to enhance cognitive task performance, yet traditional delivery poses challenges for sustained implementation; computerised working memory training (CWMT) provides a ...

Abstract Gear fault diagnosis technologies have received rapid development and been effectively implemented in many engineering applications. However, the various working conditions would degrade the diagnostic performan...

Abstract The pre-training molecular representation learning (MRL) has shown considerable potential in computer-aided drug discovery. Recently, many multimodal pre-training MRL methods have been presented, incorporating m...

Abstract BackgroundDepression affects more than 300 million people worldwide and is a leading contributor to the global disease burden. Traditional diagnostic methods, such as structured clinical interviews, ...

Background Early screening of cognitive function is critical to dementia treatment and care. However, traditional tests require face-to-face administration and are often limited by implementation costs and biases.Aims Th...

BackgroundT cell receptor excision circle (TREC)-based newborn screening (NBS) for severe combined immunodeficiency (SCID) has improved early diagnosis, treatment, and survival of SCID infants and identified additional c...

Teaching econometrics has been studied by a number of researchers, however, there is little information available on the quality of examination and on simplification of tests for demonstration the high-quality knowledge ...

Recently, the birthrate declines and the population ages, the number of people require nursing care and the burden on nursing care workers has been increasing. One of the attempts to support the independence and improve ...

Photonic reservoir computing has been intensively investigated to solve machine learning tasks effectively. A simple learning procedure of output weights is used for reservoir computing. However, the lack of training of ...

PurposeThere is extensive research on sound localization performance of blind individuals in laboratory settings. However, less is known about their spatial hearing experiences in more complex everyday environments. This...

Abstract Background This study investigated whether the dominant hand would exhibit faster nerve conduction velocity, lower muscle activation latency, and superior Coincidence Anticipation Timing (CAT) performance compar...

We have previously observed that intracerebroventricular allopregnanolone (ALLO) injection produced an anxiolytic effect and inhibited sexual receptivity when the test was performed in a separate manner. Also, ALLO rever...

Optical computing offers potential for ultra high-speed and low-latency computation by leveraging the intrinsic properties of light, such as parallelism and linear as well as nonlinear ultra-high bandwidth signal transfo...

ABSTRACT To enable autonomous operations in complex industrial environments, this paper proposes retrieval‐augmented generation with large language models for robotic operations (RAGLRO), a robotic framework specifical...

IntroductionAn emerging body of evidence suggests that plasma neuropeptide Y (NPY) concentration is positively associated with performance under conditions of psychological stress. However, whether NPY concentrations in ...

Question-answering (QA) has been a crucial NLP (Natural Language Processing) task for a long time. As an umbrella term, QA has multiple sub-tasks under its hood. Question classification (QC) is one of the most important ...

IntroductionThe ability to remember locations of objects and make spatial decisions is critical when navigating an environment. Such tasks, however, can be difficult for individuals with certain neurological conditions, ...

The present research studied the bidirectional effects of working memory (WM) capacity and emotional regulation; that is, the effect of WM capacity on spontaneous emotional regulation and whether the emotional valence to...

High ambient temperatures are associated with a variety of negative outcomes, from exacerbated mental illness to aggression to increased dementia symptoms. One possible proximal mechanism influencing these impacts is hea...

Learning correlations from data forms the foundation of today's machine learning (ML) and artificial intelligence research. While contemporary methods enable the automatic discovery of complex patterns, they are prone to...

The main aim of the present study was two-wise: first, to assess the presence of behavioral and intellectual disturbances in high-risk 7-year-old children, compared to healthy controls; and, second, and most importantly,...

Accurate modeling and prediction of driving behavior are crucial for enabling autonomous vehicles to safely navigate complex, interactive traffic environments. While recent continual learning approaches for interactive t...

Introducción. Las tareas de fluidez fonológica y semántica son de uso frecuente en la evaluación neuropsicológica por sufácil aplicación y buena sensibilidad al deterioro cognitivo. En Argentina es limitado el cue...