Chuanlai Xu

TL;DR: The authors used a multi-method approach to understand the quality of math homework-helping interactions between parents and their children and how parents' and children's own math achievement and math anxiety relate to quality of the interaction.

TL;DR: Three wind power datasets from different regions are used to prove that the proposed interval prediction method based on PSR-BLS-QR with adaptive rolling error correction can improve the average prediction accuracy by about 6–14% with the narrower interval width compared with the traditional interval prediction methods.

TL;DR: This study seeks to understand exploratory strategies and perceptual cues that may optimally encode material softness, and may aid in engineering the next-generation wearable haptic displays, which must be more tangible, compatible, and perceptually naturalistic.

TL;DR: In this paper , a deep reinforcement learning (DRL) based decentralized yaw optimization method was proposed to maximize the power production of wind farms. And the authors applied the Multi-Agent Deep Deterministic Policy Gradient (MADDPG) algorithm to design agents separately for each turbine in the wind farm to make yaw decisions independently.

TL;DR: In this article , the progress and challenges in catalytic conversion of CO2 to food ingredients via chiral catalysis are discussed, and the authors discuss the challenges of converting CO2 into food ingredients.