This study presents a novel approach to identifying meters and their pointers in modern industrial scenarios using deep learning. We developed a neural network model that can detect gauges and one or more of their pointers on low-quality images. We use an encoder network, jump connections, and a modified Convolutional Block Attention Module (CBAM) to detect gauge panels and pointer keypoints in images.
View Article and Find Full Text PDFModern sugarcane, a highly allo-autopolyploid organism, has a very complex genome. In the present study, the karyotype and genome architecture of modern sugarcane were investigated, resulting in a genome assembly of 97 chromosomes (8.84 Gb).
View Article and Find Full Text PDFCancer vaccines have garnered considerable interest for cancer immunotherapy. However, their effectiveness is limited by inadequate proliferation, activation, and tumor infiltration of cytotoxic T lymphocytes (CTLs). Inspired by the potent immunostimulatory properties of viral components and the exposure of calreticulin during immunogenic cell death (ICD) triggered by viral infections; in this study, we describe cGAMP@vEVs, a virus-mimicking nanovaccine strategy by engineering tumor cell-derived extracellular vesicles through virus infection, which co-load both personalized and broad antigen repertoire as well as multiple immune adjuvants to potently elicit antitumor immunity.
View Article and Find Full Text PDFIntroduction: Inducing natural resistance against pathogen infection in postharvest tomatoes is a sustainable strategy for reducing postharvest losses. The action model underlying the resistance enhancement of tomatoes induced by bacterial volatile organic compounds (VOCs) against , however, have not been explored.
Methods: In this study, RNA-seq, metabolomics and physiological analysis were used to evaluate global change of defense response induced by VOCs in tomatoes.