A practical guide to the four strategies of agentic adaptation, from "plug-and-play" components to full model retraining.

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

Researchers at Shanghai University have developed a physics-constrained, data-efficient artificial intelligence framework ...

Unmanned aerial vehicles (UAVs) possess the capability to survey vast areas, yet their operational range is limited by their battery capacity. Deploying mobile recharging stations via unmanned ground ...

Pre-med students in a Biology course measure urban air quality in collaboration with citizen-scientists from the local community; students in a 300-level Business seminar design improvements to a ...

Inquiry-based learning has been gaining more attention in classrooms across the world. Teachers often ask, What does it look like in practice? How does it differ from more traditional approaches? At ...

In the context of mass higher education, Chinese application-oriented undergraduate institutions face significant teaching challenges stemming from the increasingly diverse student population. This ...

Challenge-based learning is a form of collaborative and project-based learning in which students band together to help solve a local or national problem in a way that furthers their learning.

As part of my Simply Explained series, I’ve been covering a range of student-centered instructional approaches, from project-based learning to experiential and inquiry-based learning. Today, I cover ...

Interdisciplinary thematic learning, driven by thematic tasks and real-world problems, is an effective vehicle for cultivating students' problem-solving skills and individual development. However, ...