Several models of working memory (WM) have been proposed in the literature. Most of the research on the architecture of WM is based on adults or older children, but less is known about younger children. In this study, we tested various models of WM on a sample of 739 Italian children, ranging in age from 3 to 8 years, primarily of European heritage and from medium to medium-high socioeconomic background. Participants were assessed with 12 WM tasks, systematically varying the modality and level of executive control required (based on the number of activities to be performed at once: retention alone, ignoring distractors, and dealing with dual tasks). We examined younger children ( = 501, = 56.8 months, = 6.4, 48% boys) and older children ( = 238, = 80.0 months, = 9.0, 58% boys) separately using multigroup confirmatory factor analyses. A Bayesian analytical approach was adopted. Our results suggested that a four-factor model distinguishing between verbal, visual, spatial-simultaneous, and spatial-sequential components of WM achieved the best fit. Overall, the WM structure was very similar in the two groups. We further explored this result with an additional model with a central executive factor loaded on high-control tasks only and found evidence for the presence of an executive control component. The contribution of this factor in terms of explained variance was only modest, however. Our findings demonstrate that it is important to distinguish between WM components in young children. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
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Sci Rep
December 2024
Department of Electrical Engineering, Amirkabir University of Technology, Tehran, Iran.
Surface electromyography (sEMG) data has been extensively utilized in deep learning algorithms for hand movement classification. This paper aims to introduce a novel method for hand gesture classification using sEMG data, addressing accuracy challenges seen in previous studies. We propose a U-Net architecture incorporating a MobileNetV2 encoder, enhanced by a novel Bidirectional Long Short-Term Memory (BiLSTM) and metaheuristic optimization for spatial feature extraction in hand gesture and motion recognition.
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December 2024
Institute of Psychology, University of Bern, Bern, Switzerland.
Aging is typically associated with declines in episodic memory, executive functions, and sleep quality. Therefore, the sleep-dependent stabilization of episodic memory is suspected to decline during aging. This might reflect in accelerated long-term forgetting, which refers to normal learning and retention over hours, yet an abnormal retention over nights and days.
View Article and Find Full Text PDFProg Neuropsychopharmacol Biol Psychiatry
December 2024
Laboratório de Avaliações Farmacológicas e Toxicológicas Aplicadas às Moléculas Bioativas (LaftamBio Pampa), Universidade Federal do Pampa, Itaqui, RS, Brazil. Electronic address:
Amphetamine (AMPH) abuse represents a major global public health issue, highlighting the urgent need for effective therapeutic interventions to manage addiction caused by this psychostimulant. This study aimed to assess the potential of m-trifluoromethyl-diphenyldiselenide [(m-CF-PhSe)] in preventing the addictive effects induced by AMPH through targeting dopamine metabolism proteins. (m-CF-PhSe) is of interest due to its demonstrated efficacy in mitigating opioid abuse, establishing it as a promising candidate for addiction treatment research.
View Article and Find Full Text PDFACS Appl Mater Interfaces
December 2024
School of Mathematics and Physics, University of Science and Technology Beijing, Beijing 100083, China.
Although MoSe-based photodetectors have achieved excellent performance, the ultrafast photoresponse has limited their application as an optoelectronic synapse. In this paper, the enhancement of the rhodamine 6G molecule on the memory time of MoSe is reported. It is found that the memory time of monolayer MoSe can be obviously enhanced after assembly with rhodamine 6G exhibiting synaptic characteristics in comparison to pristine MoSe.
View Article and Find Full Text PDFZh Nevrol Psikhiatr Im S S Korsakova
December 2024
Research Institute for Complex Issues of Cardiovascular Diseases, Kemerovo, Russia.
Objective: To compare biomarkers of neurovascular unit (NVU) - S100β, NSE, BDNF and indicators of the brain electrical activity in patients who underwent coronary artery bypass grafting (CABG) depending on the use of different versions of multi-tasking cognitive training (CT).
Material And Methods: The study included 89 people, of whom 47 completed the CTI (postural and three cognitive tasks (counting backwards, verbal fluency and the open-ended task «Unusual use of an ordinary object») and 42 patients, who underwent CTII (visuomotor reaction and the same cognitive tasks) in the early postoperative CABG period. The patients of both groups underwent complex testing of psychomotor, executive functions, attention, short-term memory and EEG study in the perioperative period of CABG.
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