作者：Cherry, Kevin M.; Qian, Lulu
作者单位：California Institute of Technology; California Institute of Technology; California Institute of Technology
摘要：Learning enables biological organisms to begin life simple yet develop immensely diverse and complex behaviours. Understanding learning principles in engineered molecular systems could enable us to endow non-living physical systems with similar capabilities. Inspired by how the brain processes information, the principles of neural computation have been developed over the past 80 years1, forming the foundation of modern machine learning. More than four decades ago, connections between neural co...
作者：Wang, Junzhu; Chen, Tianyuan; Zhang, Zhendong; Song, Mengjie; Shen, Tianxin; Wang, Xin; Zheng, Xiyin; Wang, Yan; Song, Ke; Ge, Xiaoyang; Xu, Kai; Qi, Tiancong; Li, Fuguang; Hong, Yiguo; Liu, Yule
作者单位：Tsinghua University; Tsinghua University; Tsinghua University; Chinese Academy of Agricultural Sciences; Institute of Cotton Research, CAAS; Nanjing Normal University; Hebei Agricultural University; Hebei Agricultural University; University of Warwick
摘要：Remodelling plant immune receptors has become a vital strategy for creating new disease resistance traits to combat the growing threat of plant pathogens to global food security and environmental sustainability1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16-17. However, current methods are constrained by the rapid evolution of plant pathogens and often lack broad-spectrum and durable protection. Here we report an innovative strategy to engineer broad-spectrum, durable and complete diseas...
作者：Zhang, Qiang; Wang, Yuexuanzi; Xiao, Qingyang; Geng, Guannan; Davis, Steven J.; Liu, Xiaodong; Yang, Jin; Liu, Jiajun; Huang, Wenyu; He, Changpei; Luo, Binhe; Martin, Randall V.; Brauer, Michael; Randerson, James T.; He, Kebin
作者单位：Tsinghua University; Tsinghua University; Stanford University; Beijing Normal University; Washington University (WUSTL); University of British Columbia; University of Washington; Institute for Health Metrics & Evaluation; University of Washington Seattle; University of California System; University of California Irvine
摘要：Smoke from extreme wildfires in Canada adversely affected air quality in many regions in 20231,2. Here we use satellite observations, machine learning and a chemical transport model to quantify global and regional PM2.5 (particulate matter less than 2.5 mu m in diameter) exposure and human health impacts related to the 2023 Canadian wildfires. We find that the fires increased annual PM2.5 exposure worldwide by 0.17 mu g m-3 (95% confidence interval, 0.09-0.26 mu g m-3). North America had the l...
