Challenges and Problems on Self-directed Learning Readiness in Non–face-to-face Educational Settings During COVID-19
Abstract
1288 17690
Challenges and Problems on Self-directed Learning Readiness in Non–face-to-face Educational Settings During COVID-19by
Abstract
This study aimed to verify whether self-directed learning readiness (SDLR) level can be significantly predicted by the literacy of learning management system (LLMS), motivation, and feedback interaction (FI) in non–face-to-face educational settings. We performed Pearson’s correlation analysis and multiple regression analysis. A total of 206 online college students responded to this web survey using simple random sampling. Results showed that three variables (LLMS, motivation, and FI) were positively associated with [...] 1288 17690 |
Possible Preventive Effect of Ziziphora clinopodioides Lam. Essential Oil on Some Neurodegenerative Disordersby
Abstract
The present article describes some characteristics of the effect of essential oil (EO) extracted from Ziziphora clinopodioides harvested from Armenian highlands on microglial cell lines (BV-2 wild-type (WT) and acyl-CoA oxidase1 (ACOX1)-deficient (Acox1–/–) cells). The mutant cell line was used as a model to investigate cellular oxidative damage following EO treatment. The main components of the tested EO were pulegone, isomenthone, 1,8-cineole, piperitone, and neomenthole, with concentrations of 42.1%, [...] 1061 6866 |
Human Attention Assessment Using A Machine Learning Approach with GAN-based Data Augmentation Technique Trained Using a Custom Datasetby
Abstract
Human–robot interactions require the ability of the system to determine if the user is paying attention. However, to train such systems, massive amounts of data are required. In this study, we addressed the issue of data scarcity by constructing a large dataset (containing ~120,000 photographs) for the attention detection task. Then, by using this dataset, we established a powerful baseline system. In addition, we extended the proposed system by adding an auxiliary face detection module and introducing a unique GAN [...] 1357 11327 |
A Clinical Validity-Preserving Machine Learning Approach for Behavioral Assessment of Autism Spectrum Disorderby
Abstract
Autism spectrum disorder (ASD) is a neuropsychiatric disorder associated with critical challenges related to social, communication, and behavioral issues. Recent studies have proposed machine learning (ML) techniques for rapid and accurate assessment of ASD. However, the mismatch between the ML techniques and the clinical basis of ASD assessment reduces the effectiveness of ML-based assessment tools. The present study proposed an approach that utilized the potential of ML modeling and preserved the clinical relevan [...] 1349 7613 |
Computerized Assessment of Cognitive Development in Neurotypical and Neurodivergent ChildrenAbstract
This study aims to observe the differences in the shared intentionality magnitude in mother-child dyads with neurotypical (NT) children and neurodivergent (ND) children aged 3-6 years. The quality of shared intentionality in infancy is associated with cognitive development. Our results showed that ND children scored six times higher (on average) in quiz-test than NT children. Children with difficulties in interaction (ND children) are more likely to use shared intentionality in conversation than NT children. We bel [...] 1580 12609 |
Neuroprotective (Antioxidant, Antiamyloidogenic, and Antiexcitatory) Effects of Trévo™ against Cadmium Chloride Neurotoxicity in Adult Male Wistar Ratsby
Abstract
Cadmium (Cd) is a heavy metal that is deleterious to brain development as it increases brain aging. Trévo is a multi-herbal supplement that provides various health benefits, including boosting the immune system and detoxification. In this study, we investigated the neuroprotective effects of Trévo against the neurotoxic effects of cadmium chloride (CdCl2). Thirty male Wistar rats were equally divided into three groups: Group I (normal control), Group II (administered CdCl2), and Group III (administered Trévo and Cd [...] 913 7541 |
Modeling of Information Processing in Biomorphic Neuroprocessorby
Abstract
In the present study, we present the results of the modeling of incoming information processing in a neuroprocessor that implements a biomorphic spiking neural network with numerous neurons and trainable synaptic connections between them. Physico-mathematical models of processes of encoding information into biomorphic pulses and their decoding following a neural block into a binary code were developed as well as models of the process of routing the output pulses of neurons by the logic matrix to the synapses of oth [...] 1041 6361 |
Targeting Neuroplasticity for the Management of Pain and Agitation in Alzheimer’s Disease via Bergamot NanotherapyAbstract
Alzheimer’s disease (AD) accounts for 50–70% of cases of dementia worldwide and is a social burden to the affected population. Although several pathogenetic hypotheses have been proposed, evidence favoring the role of aberrant neuroplasticity in the development of the neuropsychiatric symptoms associated with dementia is increasing. Specifically, agitation is resistant to treatment and affects the quality of life, also because of the lack of safe and effective treatment for AD. Alterations in pain processing due to [...] 1306 7943 |
Assessment of Loneliness During the Pandemic: Comparing Various Short Forms of the UCLA Loneliness Scale in South Africa Using Classical Test Theory and Mokken AnalysisAbstract
An important mental health concern arising from the COVID-19 pandemic was the loneliness resulting from the lockdown measures taken by many countries due to the outbreak. Thus, loneliness needs to be studied in detail for intervention purposes. The UCLA Loneliness Scale is the most widely used measure of loneliness. However, the 20-item measure has some drawbacks, including questionnaire fatigue, especially when used with other measures, and a lack of accurate responses to all items. In this study, we evaluated two [...] 1725 12545 |
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