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Social emotional interaction in collaborative learning: Why it matters and how can we measure it?
Social Sciences and Humanities Open, 2023 Emotions play a crucial role in our daily lives, contributing to our mental health as well as to our learning and performance efficiency. Emotions are easily influenced by the surrounding environment and objects, and in response, we may behave ...
Xiaoshan Huang, Susanne P. Lajoie
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Coupling learning of complex interactions [PDF]
Information Processing & Management, 2015 Complex applications such as big data analytics involve different forms of coupling relationships that reflect interactions between factors related to technical, business (domain-specific) and environmental (including socio-cultural and economic) aspects. There are diverse forms of couplings embedded in poor-structured and ill-structured data.
openaire +2 more sources
Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers
Molecular Oncology, EarlyView.This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel +6 more
wiley +1 more source
Interactions Between Teachers and Learning Disabled and Non-Learning Disabled Adolescents [PDF]
, 1981 This research was published by the KU Center for Research on Learning, formerly known as the University of Kansas Institute for Research in Learning Disabilities.A number of recent studies with learning disabled children have suggested that they may have
Atwater, Jane +4 more
core
Learning epistatic polygenic phenotypes with Boolean interactions. [PDF]
PLoS ONEDetecting epistatic drivers of human phenotypes is a considerable challenge. Traditional approaches use regression to sequentially test multiplicative interaction terms involving pairs of genetic variants.
Merle Behr +11 more
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NeuroImage, 2022 Corticocortical neuroplastic changes from higher-order cortices to primary motor cortex (M1) have been described for procedural sequence learning. The dorsolateral prefrontal cortex (DLPFC) plays critical roles in cognition, including in motor learning ...
Na Cao +6 more
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, 2022 Interactions that occur during the learning process are very important because it is with this information that they get something they want. If an interaction that does not work, then there is no result that follow the interaction process. This short piece of writing intends to describe and discuss a topic on online learning interaction.
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Interpreting the effects of DNA polymerase variants at the structural level
Molecular Oncology, EarlyView.Using MAVISp and molecular dynamics simulations, we analyzed over 60 000 missense variants in POLE and POLD1 from ClinVar, COSMIC, cBioPortal, and saturation mutagenesis. Identified mechanistic indicators, including stability, binding, and long‐range, enable structural interpretation, providing ACMG‐like evidence for possible reclassification of VUS ...
Matteo Arnaudi +7 more
wiley +1 more source
Learning high-order interactions for polygenic risk prediction.
PLoS ONE, 2023 Within the framework of precision medicine, the stratification of individual genetic susceptibility based on inherited DNA variation has paramount relevance. However, one of the most relevant pitfalls of traditional Polygenic Risk Scores (PRS) approaches
Michela C Massi +9 more
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The Asia Pacific Scholar, 2021 Introduction: A novel initiative allowed third year medical students to pursue experiential learning during a year-long Enrichment Year programme as part of the core curriculum.
Pauline Luk, Julie Chen
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