Timely detection and maintenance of smart electricity meter faults are essential for smart grid systems, but there is no high-accurate algorithm to detect the meter fault yet.So, in this paper, we propose a deep learning algorithm to detect the fault of the smart electricity meter.Our algorithm is based on a 1D convolution twin network, which can d
Abstract Background Anastomotic leakage (AL) is one of the most dreadful postoperative complications because it can result in increased morbidity and mortality as well as poorer long-term prognosis.Although most studies of AL limited their investigation time to a period of 30 days postoperatively, only a few studies have shown that AL can occur aft
Abstract Background RNA interference (RNAi) is a tool for studying gene function and has emerged as a promising eco-friendly alternative to chemical pesticides.RNAi relies on delivering double-stranded RNA (dsRNA), which is processed into small interfering RNA (siRNA) to silence genes.However, so far, knowledge and tools for optimizing the dsRNA se
Pancreatic ductal adenocarcinoma (PDAC) is often diagnosed at an advanced stage, presenting limited therapeutic options and a grim prognosis due to its aggressive nature.Despite ongoing exploration of various combination therapies, a standardized treatment approach after the first-line treatment progress remains elusive.This report details the case