Background Feeding a growing global population while protecting environmental quality stands as one of the defining governance challenges of our time. As the largest food producer in the world, China faces this challenge acutely, as it must simultaneously safeguard food security…
Evaluating machine learning in scientific domains requires separating correct predictions from correct reasons under realistic distribution shifts. We introduce PertReason, a knowledge-grounded benchmark and framework suite for cell-state--conditioned reasoning about perturbation…
Continuous glucose monitoring data have strong time variability as well as complex non-stationarity and nonlinearity. The existing blood glucose concentration prediction models often overlook the impacts of residual components after multi-scale decomposition on prediction accurac…
Ultra-low-noise lasers are essential in high-performance systems, and heterogeneous integration offers the most promising path towards manufacturing them at high volumes with low size, weight, power, and cost. Self-injection locking is a well-established technique for dramaticall…