Introduction: Extracting and acquiring sequential regularities from the environment is a fundamental human ability that underlies the acquisition of various motor, social and cognitive skills. As psychiatric rehabilitation often depends on the integrity of these skills, it is crucial to understand individual differences in sequence learning. Here we aimed to test age- and gender-related differences in sequence learning as well as in the consolidation of the acquired knowledge.
Methods: In the present study we aimed to characterize age-related and gender differences in the consolidation of implicitly acquired sequential memories between 7 and 29 years of age (N = 261). Participants were clustered into six age groups. The Alternating Serial Reaction Time (ASRT) task was used to measure implicit sequence learning. Participants were retested 24 hours after the learning phase.
Results: In the learning phase, implicit sequence learning showed a gradually declining pattern across age groups with children exhibiting the best learning performance, which is consistent with previous studies. Regarding consolidation, we found retention of implicit sequential memories in all age groups, with no age-related differences. We found no gender differences in the acquisition of sequential memories but gender differences emerged after the consolidation: male participants showed somewhat better performance in terms of accuracy compared to the female participants.
Conclusion: Our study explores implicit sequence learning and consolidation in a relatively wide age range and can contribute to the development and testing of alternative methods in age-specific psychiatric rehabilitation.
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J Chem Inf Model
January 2025
Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences, Indian Institute of Technology Madras, Chennai, 600036 Tamil Nadu, India.
Interactions between proteins and RNAs are essential for the proper functioning of cells, and mutations in these molecules may lead to diseases. These protein mutations alter the strength of interactions between the protein and RNA, generally described as binding affinity (Δ). Hence, the affinity change upon mutation (ΔΔ) is an important parameter for understanding the effect of mutations in protein-RNA complexes.
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Department of Veterinary Population Medicine, College of Veterinary Medicine, University of Minnesota, St. Paul, Minnesota, USA.
Existing genetic classification systems for porcine reproductive and respiratory syndrome virus type 2 (PRRSV-2), such as restriction fragment length polymorphisms and sub-lineages, are unreliable indicators of close genetic relatedness or lack sufficient resolution for epidemiological monitoring routinely conducted by veterinarians. Here, we outline a fine-scale classification system for PRRSV-2 genetic variants in the United States. Based on >25,000 U.
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BGI Research, Hangzhou, Zhejiang 310030, China.
The amniote pallium, a vital component of the forebrain, exhibits considerable evolutionary divergence across species and mediates diverse functions, including sensory processing, memory formation, and learning. However, the relationships among pallial subregions in different species remain poorly characterized, particularly regarding the identification of homologous neurons and their transcriptional signatures. In this study, we utilized single-nucleus RNA sequencing to examine over 130 000 nuclei from the macaque ( ) neocortex, complemented by datasets from humans ( ), mice ( ), zebra finches ( ), turtles ( ), and lizards ( s), enabling comprehensive cross-species comparison.
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November 2024
Institute of Biochemistry and Molecular Medicine, University of Bern, Bern 3012, Switzerland.
Summary: Protein structure prediction aims to infer a protein's three-dimensional (3D) structure from its amino acid sequence. Protein structure is pivotal for elucidating protein functions, interactions, and driving biotechnological innovation. The deep learning model AlphaFold2, has revolutionized this field by leveraging phylogenetic information from multiple sequence alignments (MSAs) to achieve remarkable accuracy in protein structure prediction.
View Article and Find Full Text PDFFront Immunol
January 2025
Department of Neurological Care Unit, The First Affiliated Hospital of YangTze University, Jingzhou, Hubei, China.
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