The specifics of integrating distance learning technologies with traditional classroom instruction: How to design educational curricula in modern education? [PDF]
Zakharova N +3 more
europepmc +1 more source
Technology options for multimedia in distance learning [PDF]
Sherwood-Roberts, P., Vervest, P.
core
Zero‐dimensional carbon nanomaterials are presented as multifunctional platforms linking structure, property, and sensing performance. Surface engineering and heteroatom doping modulate electron‐transfer and luminescent behavior, enabling electrochemical, photoluminescent, and electrochemiluminescent detection. Fundamental design principles, analytical
Gustavo Martins +8 more
wiley +1 more source
Examining the Effects of Different Types of Achievement Goal Orientation on Undergraduate Students' Engagement in Distance Learning: The Mediating Effect of Self-Efficacy. [PDF]
Han T, Xu G, Lu W.
europepmc +1 more source
The article overviews past and current efforts on caloric materials and systems, highlighting the contributions of Ames National Laboratory to the field. Solid‐state caloric heat pumping is an innovative method that can be implemented in a wide range of cooling and heating applications.
Agata Czernuszewicz +5 more
wiley +1 more source
Neck pain and distance learning: A pain in the neck for university students during COVID-19. [PDF]
Musaad Mohamed A +5 more
europepmc +1 more source
Hydrogel‐Based 3D‐Printable Stretchable Pressure Sensor
We present a carbon‐black‐functionalized double‐network granular hydrogel (DNGH) pressure sensor capable of detecting pressures from 200 Pa, equivalent to a light finger touch, up to 500 kPa. The sensor exhibits signal drifts below 3.5% after 800 cycles and response times around 80 ms. Leveraging this broad sensing range, we 3D print this material into
Tianyu Yuan +4 more
wiley +1 more source
The quality of distance learning during COVID-19: Perspectives of Saudi university students. [PDF]
Mohammed Albanyan A.
europepmc +1 more source
Using video and Internet conferences for distance learning [PDF]
Gubkina, V.V., Morozova, T.I.
core
Advanced Design for Weakly Coupled Resonators by Automatic Active Optimization
An Automatic Active Optimization (AAO) strategy integrates machine learning predictors and genetic algorithms in a closed‐loop workflow. By iteratively expanding its dataset with new discoveries, AAO overcomes the limits of conventional methods. This approach finds superior microstructural designs beyond the initial sample space. We demonstrate this on
Wei Yue +8 more
wiley +1 more source

