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Does difficulty moderate learning? A comparative analysis of the desirable difficulties framework and cognitive load theory.
Q J Exp Psychol (Hove)
December 2024
School of Psychology, University of Kent, Canterbury, UK.
There is evidence to suggest that variations in difficulty during learning can moderate long-term retention. However, the direction of this effect is under contention throughout the literature. According to both the Desirable Difficulties Framework (DDF) and the Retrieval Effort Hypothesis (REH), difficulty (thus relative effort) during retrieval-based learning can help achieve superior long-term retention.
View Article and Find Full Text PDFI see artifacts: ICA-based EEG artifact removal does not improve deep network decoding across three BCI tasks.
J Neural Eng
December 2024
Department of Department of Artificial Intelligence, Korea University, Seoul, Republic of Korea.
In this paper, we conduct a detailed investigation on the effect of independent component (IC)-based noise rejection methods in neural network classifier-based decoding of electroencephalography (EEG) data in different task datasets.We apply a pipeline matrix of two popular different independent component (IC) decomposition methods (Infomax and Adaptive Mixture Independent Component Analysis (AMICA)) with three different component rejection strategies (none, ICLabel, and multiple artifact rejection algorithm [MARA]) on three different EEG datasets (motor imagery, long-term memory formation, and visual memory). We cross-validate processed data from each pipeline with three architectures commonly used for EEG classification (two convolutional neural networks and one long short-term memory-based model.
View Article and Find Full Text PDFPrecision control of ammonium release in Azotobacter vinelandii.
Microb Biotechnol
July 2024
Department of Bioproducts and Biosystems Engineering, University of Minnesota, St. Paul, Minnesota, USA.
The capture and reduction of atmospheric dinitrogen gas to ammonium can be accomplished through the enzyme nitrogenase in a process known as biological nitrogen fixation (BNF), by a class of microbes known as diazotrophs. The diazotroph Azotobacter vinelandii is a model organism for the study of aerobic nitrogen fixation, and in recent years has been promoted as a potential producer of biofertilizers. Prior reports have demonstrated the potential to partially deregulate BNF in A.
View Article and Find Full Text PDFA comprehensive review on the inherent and enhanced antifouling mechanisms of hydrogels and their applications.
Int J Biol Macromol
April 2024
Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518075, China. Electronic address:
Biofouling remains a persistent challenge within the domains of biomedicine, tissue engineering, marine industry, and membrane separation processes. Multifunctional hydrogels have garnered substantial attention due to their complex three-dimensional architecture, hydrophilicity, biocompatibility, and flexibility. These hydrogels have shown notable advances across various engineering disciplines.
View Article and Find Full Text PDFBackground: Paramedics are expected to record electrocardiograms (ECGs) as part of their clinical assessment; however, it is an extremely difficult skill to learn and understand as it has a high intrinsic cognitive load which can also be challenging to teach effectively.
Aims: This article will explore the use of cognitive load theory to assist in the teaching of ECG interpretation within the context of paramedical education.
Description: Cognitive load theory can be useful to aid teaching within complex medical and health science domains including clinical skills teaching.
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