Object detection is a vital task in the field of computer vision for various applications such as face detection, autonomous driving and industrial production.In recent years, with the rise of deep neural networks, there has been significant progress in improving object detection accuracy.However, despite the state-of-the-art methods being tested o

High temperature-adapted natural enemies may exhibit improved biocontrol effiicacy in hot weather, but transgenerational stability of the trait may affect practical applications.Neoseiulus barkeri is a commercially produced biocontrol agent, and a 5-Piece Dining Set high temperature-adapted strain (HTAS) has been developed.Thermotolerance and the a

Abstract Background Previous research revealed an absence of any previous studies reporting the impact that pandemics may have on psychotic symptomology, nor on the physical health of people with psychosis in response to the epidemics of the COVID-19.The direction of the impact of the COVID-19 on schizophrenia is unknown, as the risk of infection c

Abstract Background Detecting structural variations (SVs) at the population level using next-generation sequencing (NGS) requires substantial computational resources and processing time.Here, we compared the performances of 11 SV callers: Delly, Manta, GridSS, Wham, Right Coupler Sniffles, Lumpy, SvABA, Canvas, CNVnator, MELT, and INSurVeyor.These

Abstract KRAS is the most common mutated oncogenes in colorectal cancer (CRC), yet effective therapeutic strategies for targeting multiple KRAS mutations remained challenging.The prolonged protein stability of KRAS mutants contribute to their robust tumor-promoting effects, but the underlying mechanism is elusive.Herein by screening deubiquitinases