Retrieval practice is a powerful method for consolidating long-term learning. When learning takes place over an extended period, how should tests be scheduled to obtain the maximal benefit? In an end-test schedule, all material is studied prior to a large practice test on all studied material, whereas in an interim test schedule, learning is divided into multiple study/test cycles in which each test is smaller and only assesses material from the preceding study block. Past investigations have generally found a difference between these schedules during practice but not during a final assessment, although they may have been underpowered. Five experiments confirmed that final assessment performance was better in students taught using interim than end tests in list (Experiments 1, 2, and 5) and paired associate (Experiments 3 and 4) learning, with a meta-analysis of all available studies (k = 19) yielding a small- to medium-sized effect, g = 0.25, 95% confidence interval [0.09, 0.42]. Experiment 5 finds that the higher level of practice retrieval success in interim tests contributes to the grain size effect, but the effect is eliminated if these tests are too easy. Additional analyses also suggest that the forward testing effect, in which tests promote subsequent learning, may be a major cause of the grain size effect. The practical and theoretical implications of these demonstrations of robust grain size effects are discussed. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
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Int J Pharm
December 2024
State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macau 999078, China; Faculty of Health Sciences, University of Macau, Macau 999078, China. Electronic address:
Messenger RNA (mRNA) encapsulated in lipid nanoparticles (LNPs) represents a cutting-edge delivery technology that played a pivotal role during the COVID-19 pandemic and in advancing vaccine development. However, molecular structure of mRNA-LNPs at real size remains poorly understood, with conflicting results from various experimental studies. In this study, we aim to explore the assembly process and structural characteristics of mRNA-LNPs at realistic sizes using coarse-grained molecular dynamic simulations.
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December 2024
Institute of Deep Perception Technology, JITRI, 214000, Wuxi, China; XJTLU-JITRI Academy of Technology, Xi'an Jiaotong-Liverpool University, 215123, Suzhou, China; Thrust of Artificial Intelligence and Thrust of Intelligent Transportation, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, 511400, China. Electronic address:
Over the past decade, the size of neural network models has gradually increased in both breadth and depth, leading to a growing interest in the application of neural network pruning. Unstructured pruning provides fine-grained sparsity and achieves better inference acceleration under specific hardware support. Unstructured Pruning at Initialization (PaI) optimizes the iterative pruning pipeline, but sparse weights increase the risk of underfitting during training.
View Article and Find Full Text PDFSci Adv
January 2025
Department of Nuclear Engineering, University of Tennessee, Knoxville, TN 37996, USA.
Metastable phases can exist within local minima in the potential energy landscape when they are kinetically "trapped" by various processing routes, such as thermal treatment, grain size reduction, chemical doping, interfacial stress, or irradiation. Despite the importance of metastable materials for many technological applications, little is known about the underlying structural mechanisms of the stabilization process and atomic-scale nature of the resulting defective metastable phase. Investigating ion-irradiated and nanocrystalline zirconia with neutron total scattering experiments, we show that metastable tetragonal ZrO consists of an underlying structure of ferroelastic, orthorhombic nanoscale domains stabilized by a network of domain walls.
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December 2024
Department of Material Science and Engineering, Drexel University, Philadelphia 19104, Pennsylvania, United States.
The optimization of nonradiative recombination losses through interface engineering is key to the development of efficient, stable, and hysteresis-free perovskite solar cells (PSCs). In this study, for the first time in solar cell technology, we present a novel approach to interface modification by employing one-dimensional lepidocrocite (henceforth referred to as 1DL) TiO-based nanofilaments, NFs, between the mesoporous TiO (mp TiO) and halide perovskite film in PSCs to improve both the efficiency and stability of the devices. The 1DLs can be easily produced on the kilogram scale starting with cheap and earth-abundant precursor powders, such as TiC, TiN, TiB, etc.
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October 2024
Department of Aircraft Manufacturing Engineering, School of Aerospace Engineering, Guizhou Institute of Technology, Guiyang, China.
The application of a pulsed magnetic field (PMF) during a metallurgy solidification process has proven to be an effective method in refining the grain size and improving the mechanical performance of the material. However, fewer works were reported in the realm of laser additive manufacturing (LAM) and the mechanism of grain refinement consequent to the PMF is still unclear. In this work, numerical models were developed to study the thermal-fluid characteristics in the Ti-alloy melt pool generated during the laser scanning process under the effect of a combined direct current (DC) electric field and PMF.
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