Cadmium (Cd) and arsenic (As) are widely distributed pollutants that co-exist in the environment; however, their joint toxicity on living organisms is still largely unknown.In this study, we explored the joint toxicity of concurrent exposure to Cd and different As species at low concentrations on Caenorhabditis elegans (C.elegans) in comparison to
Parallel Nanoimprint Forming of One-Dimensional Chiral Semiconductor for Strain-Engineered Optical Properties
Abstract The low-dimensional, highly anisotropic geometries, and superior mechanical properties of one-dimensional (1D) nanomaterials allow the exquisite strain engineering with a broad tunability inaccessible to bulk or thin-film materials.Such capability enables unprecedented possibilities for probing intriguing physics and materials science in t
Evaluation of periodontitis-related tooth loss according to the new 2018 classification of periodontitis
Abstract The new 2018 classification of periodontal diseases is reported to be related to tooth loss due to periodontal disease (TLPD) during supportive periodontal therapy (SPT).However, few reports have evaluated this relationship for Asians or have analyzed the association of the new classification and TLPD by distinguishing between active perio
GLIDE: Multi-Agent Deep Reinforcement Learning for Coordinated UAV Control in Dynamic Military Environments
Unmanned aerial vehicles (UAVs) are widely used for missions in dynamic environments.Deep Reinforcement Learning (DRL) can find effective strategies for multiple agents that need to cooperate to complete the task.In this article, the challenge of controlling the movement of a fleet of UAVs is addressed by Multi-Agent Deep Reinforcement Learning (MA