Deep learning has been widely used in many applications such as face recognition,
autonomous driving, etc. However, deep learning models are vulnerable to various adversarial …

Background: Unmanned aerial vehicle (UAV)-based remote sensing provides a flexible, low-cost,
and efficient approach to monitor crop growth status at fine spatial and temporal …

Objective: New SSR primers were designed and screened to apply in the backcross breeding
for modified resistance against rice stripe virus. Method: The conventional late japonica …

Cordyceps sinensis, the caterpillar fungus in traditional Chinese medicine, has been intensively
collected from nature in recent years. As a result, the establishment of the anamorph of …

Voxel-based methods have been widely used in point cloud 3D object detection. These
methods usually transform points into voxels while suffering from information loss during point …

Featured Application The proposed approach can learn transparent behavior models
represented as Behavior Trees, which could be used to alleviate the heaven endeavor of manual …

Background Eczema is a chronic inflammatory disease associated with impaired quality of
life. We identified indoor environmental risk factors, to provide strong evidence for the …

An expeditious synthetic route to 1,1-disubstituted indenes from propargyl alcohols and
organoboronic acids was developed under rhodium catalysis, and selective 1,4-rhodium …

The global optimization-based color correction approach aims to minimize the color
differences of multiple images by optimizing the correction model for each image. The color …

Hereditary protein S deficiency is an autosomal dominant disorder associated with a high
risk of venous thromboembolism (VTE) and usually results from mutations of PROS1. …