Indoor localization has long been a challenging task due to the complexity and dynamism of indoor environments.This paper proposes ULG-SLAM, a novel unsupervised learning and geometric-based visual SLAM algorithm for robot localizability estimation to improve the accuracy and robustness of visual SLAM.Firstly, a dynamic feature filtering based on u
Abstract Background Cesarean scar pregnancy (CSP) refers to the implantation and growth of the gestational sac at a uterine scarring site due to a previous cesarean section.The effects of CSP on subsequent fertility have emerged as a clinical issue of importance in gynecology and obstetrics in Electric Kettles China owing to the increasing rate of
Most people struggle to articulate the reasons why a promotional email they are exposed to influences them to make a purchase.Marketing experts and companies find it beneficial to understand these reasons, even if consumers themselves cannot express them, by using neuromarketing tools, specifically the technique of eye tracking.This study analyses
The potential of normative modeling to make individualized predictions from neuroimaging data has enabled inferences that go beyond the case-control approach.However, site effects are often confounded with variables of interest in a complex manner and can bias estimates of normative models, which has impeded the application of normative models to l
Abstract Background As a chronic mountain sickness(CMS) with the highest incidence and the greatest harm, the pathogenesis of high altitude polycythemia (HAPC) is still not fully understood.Methods 37 HAPC patients and 42 healthy subjects were selected from plateau, and peripheral venous blood samples were collected for transcriptome sequencing on