This theme is concerned with the relevance and efficacy of educational methods adopted in dental schools while recognizing the influence of geopolitical issues in different countries and regions. Particular emphasis will be given to examples of best practices and innovations. Cognition and learning are dealt with in many different research areas such as education, psychology, cognitive sciences, brain research, neurolinguistics, gender, etc. and comprise the theoretical foundation for the philosophies, principles and methods underlying the dental education system. Educational methods are many and mixed. This group has used existing knowledge, personal experiences and current literature together with some of the material from the DentEd visits.
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http://dx.doi.org/10.1034/j.1600-0579.6.s3.4.x | DOI Listing |
Neurochem Res
January 2025
Neurosciences Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Alzheimer's disease (AD) is the most prevalent neurodegenerative disorder characterized by cognitive decline. Despite extensive research, therapeutic options remain limited. Varenicline, an αβ nicotinic acetylcholine receptor agonist, shows promise in enhancing cognitive function.
View Article and Find Full Text PDFArch Toxicol
January 2025
Applied Biology Department, Miguel Hernández de Elche University, Elche, Spain.
Chlorpyrifos (CPF) is an organophosphorus pesticide of concern because many in vivo animal studies have demonstrated developmental toxicity exerted by this substance; however, despite its widespread use, evidence from epidemiological studies is still limited. In this study, we have collected all the information generated in the twenty-first century on the developmental toxicity of CPF using new approach methodologies. We have critically evaluated and integrated information coming from 70 papers considering human, rodent, avian and fish models.
View Article and Find Full Text PDFTop Cogn Sci
January 2025
Department of Psychology, University of Wisconsin-Madison.
Whereas cognitive models of learning often assume direct experience with both the features of an event and with a true label or outcome, much of everyday learning arises from hearing the opinions of others, without direct access to either the experience or the ground-truth outcome. We consider how people can learn which opinions to trust in such scenarios by extending the hedge algorithm: a classic solution for learning from diverse information sources. We first introduce a semi-supervised variant we call the delusional hedge capable of learning from both supervised and unsupervised experiences.
View Article and Find Full Text PDFBackground: Several modifiable risk factors for dementia and related neurodegenerative diseases have been identified including education level, socio-economic status, and environmental exposures - however, how these population-level risks relate to individual risk remains elusive. To address this, we assess over 450 potential risk factors in one deeply clinically and demographically phenotyped cohort using random forest classifiers to determine predictive markers of poor cognitive function. This study aims to understand early risk factors for dementia by identifying predictors of poor cognitive performance amongst a comprehensive battery of imaging, blood, atmospheric pollutant and socio-economic measures.
View Article and Find Full Text PDFiScience
January 2025
Cognitive Neuroimaging Unit, CEA, INSERM, Université Paris-Saclay, NeuroSpin Center, 91191 Gif/Yvette, France.
Recent studies showed that humans, regardless of age, education, and culture, can extract the linear trend of a noisy scatterplot. Although this capacity looks sophisticated, it may simply reflect the extraction of the principal trend of the graph, as if the cloud of dots was processed as an oriented object. To test this idea, we trained Guinea baboons to associate arbitrary shapes with the increasing or decreasing trends of noiseless and noisy scatterplots, while varying the number of points, the noise level, and the regression slope.
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