The integrity of data is an essential basis for analyzing power system operating status based on data.Improper handling of measurement sampling, information transmission, and data storage can lead to data loss, thus destroying the data integrity and hindering data mining.Traditional data imputation methods are suitable for low-latitude, low-missing
The effect of an intermediate standing baffle on the structure of flow in a rectangular open channel has been successfully captured by an Ultrasonic Velocity Profiler (UVP).Various spatial distributions such as on-axis time-averaged velocity profiles and turbulent intensities at different streamwise positions indicate the flow structure of the upri
Summary: Accurate spatiotemporal control of multicellular self-organization by various signaling pathways is essential for developmental stages.In particular, evolutionarily conserved Wnt signaling serves as a major morphogenetic switch to determine the anteroposterior axis of the embryo.Here, we developed a genetically encoded optochemogenetic Wnt
Building change detection (BCD) from remote sensing images is essential in various practical applications.Recently, inspired by the achievement of deep learning in semantic segmentation (SS), methods that treat the BCD problem as a binary SS task using deep siamese networks have attracted increasing attention.However, similar to their counterparts,