Abstract Effective transfer learning for molecular property prediction has shown considerable strength in addressing insufficient labeled molecules.Many existing methods either disregard the quantitative relationship between source and target properties, risking negative transfer, or require intensive training on target tasks.To quantify transferab
This paper proposes a method for CNN-based fault detection of the scan-matching algorithm for accurate SLAM in dynamic environments.When there are dynamic objects in an environment, the environment that is detected by a LiDAR Scene Setters sensor changes.Thus, the scan matching of laser scans is likely to fail.Therefore, a more robust scan-matching
CRISPR-Cas has revolutionized genetics and extensive efforts have been made to enhance its editing efficiency by developing increasingly more elaborate tools.Here, we evaluate the CRISPR-Cas9 system in Drosophila melanogaster Handheld Vacuum Brush Motor to assess its ability to induce stem cell-derived tumors in the intestine.We generated condition
C-repeat/dehydration-responsive element binding factor (CBF) plays important roles in cold response network in plants.Here, one member of CBF coding gene family in trifoliate orange (Poncirus trifoliata), designated as PtCBF, was isolated.Semi-quantitative reverse transcription-polymerase socks chain reactions showed up-regulation of PtCBF not only
Despite their simplicity, quantum harmonic oscillators are ubiquitous in the modeling of physical systems.They are able to capture universal properties that serve as references for the more complex systems found in nature.In this spirit, we apply a model of a Hamiltonian for open quantum systems in equilibrium with a particle reservoir to ensembles