Blended Learning Engagement Evaluation System for University in China

This study uses the Delphi approach to create an evaluation system for blended learning, analyzing aspects affecting online learning. Educational institutions and decision-makers can use the system's three key dimensions and indicators to examine scientifically.Purposive sampling chose 17 Chinese university specialists for the study. With significant blended learning and learning engagement knowledge, the sample size met research objectives. Both face-to-face and telephone interviews provided deep insights into critical concerns. Experts reached a high level of agreement on evaluation indicators (? =.939,.849,.911, with average values above 4). The average Coefficient of Variation score was.167, ? =.851, showing high reliability. The review prompted indicator system changes. Experts disagree with the signs "Autonomous Time", "Habit", "Self encouragement", "Force", "Reward" and others, thus we should erase them. Additionally, "video learning time" and "learning Tool Use" average 3.82 and 3.71. Both standard deviations and coefficient of variation are below 1, indicating consistency. The indicators suggest substantial expert consensus, with standard deviations below 1. Each indicator has a coefficient of variation below.25, indicating strong standard alignment

Electrostatic confinement of electrons in graphene nano-ribbons

Coulomb blockade is observed in a graphene nanoribbon device with a top gate. When two pn junctions are formed via the back gate and the local top gate, electrons are confined between the pn junctions which act as the barriers. When no pn junctions are induced by the gate voltages, electrons are still confined, as a result of strong disorder, but in a larger area. Measurements on five other devices with different dimensions yield consistent results.Comment: 4 figures, 1 table, 4.4page

Air pollution particulate matter exposure and chronic cerebral hypoperfusion and measures of white matter injury in a murine model

BACKGROUND: Exposure to ambient air pollution particulate matter (PM) is associated with increased risk of dementia and accelerated cognitive loss. Vascular contributions to cognitive impairment are well recognized. Chronic cerebral hypoperfusion (CCH) promotes neuroinflammation and blood-brain barrier weakening, which may augment neurotoxic effects of PM. OBJECTIVES: This study examined interactions of nanoscale particulate matter (nPM; fine particulate matter with aerodynamic diameter METHODS: nPM was collected using a particle sampler near a Los Angeles, California, freeway. Mice were exposed to 10 wk of reaerosolized nPM or filtered air (FA) for 150 h. CCH was induced by BCAS surgery. Mice (C57BL/6J males) were randomized to four exposure paradigms: RESULTS: The joint DISCUSSION: Our data suggest that nPM and CCH contribute to white matter injury in a synergistic manner in a mouse model. Adverse neurological effects may be aggravated in a susceptible population exposed to air pollution. https://doi.org/10.1289/EHP8792