Accurate and rapid response in complex driving scenarios is a challenging problem in autonomous driving.If a target is detected, the vehicle will not be able to react in time, resulting in fatal safety accidents.Therefore, the application of driver assistance systems requires a model that can accurately detect targets in complex scenes and respond
ObjectiveThe objective of the study was to evaluate risk assessment for gestational hypertension based on the profile of circulating placental specific C19MC microRNAs in early pregnancy.Study designThe prospective longitudinal cohort study of women enrolled at first trimester deus gorras screening at 10 to 13 weeks was carried out (n = 267).Relati
Abstract Background Cancer screening tests are considered pivotal for early diagnosis and survival.However, the efficacy of these tests for improving survival has recently been questioned.This study aims to test if cowboys ps5 controller cancer screening could be improved by biomarkers in peripheral blood based on multi-omics data.Methods We utiliz
Abstract We exploit the 6D, N $$ mathcal{N} $$ = (1, 0) and N $$ mathcal{N} $$ = (1, 1) harmonic superspace approaches to construct the full set of the maximally supersymmetric on-shell invariants of the canonical dimension d = 12 in 6D, N $$ mathcal{N} $$ = (1, 1) supersymmetric Yang-Mills (SYM) theory.Both single- and double-trace dreamtops invar
From the perspective of FDR (fault detection rate), which is an indispensable component in reliability modeling, this paper proposes two kinds of reliability models under imperfect debugging.This model is a relatively flexible and unified software reliability growth model.First, this paper examines the incomplete phenomenon of debugging and fault r