Lunar impact crater detection is crucial for lunar surface studies and spacecraft landing missions,yet deep learning still struggles with accurately detecting small craters,especially when relying on incomplete catalo...Lunar impact crater detection is crucial for lunar surface studies and spacecraft landing missions,yet deep learning still struggles with accurately detecting small craters,especially when relying on incomplete catalogs.In this work,we integrate Digital Elevation Model(DEM)data to construct a high-quality dataset enriched with slope information,enabling a detailed analysis of crater features and effectively improving detection performance in complex terrains and low-contrast areas.Based on this foundation,we propose a novel two-stage detection network,MSFNet,which leverages multi-scale adaptive feature fusion and multisize ROI pooling to enhance the recognition of craters across various scales.Experimental results demonstrate that MSFNet achieves an F1 score of 74.8%on Test Region1 and a recall rate of 87%for craters with diameters larger than 2 km.Moreover,it shows exceptional performance in detecting sub-kilometer craters by successfully identifying a large number of high-confidence,previously unlabeled targets with a low false detection rate confirmed through manual review.This approach offers an efficient and reliable deep learning solution for lunar impact crater detection.展开更多
目的了解管饲期间护士胃管定位方法的现状并分析其影响因素。方法根据AACN(American Association of Critical-Care Nurses)实践警报,自行设计调查问卷,对957名临床护士进行问卷调查。结果管饲期间护士胃管定位的时间选择存在差异,291人...目的了解管饲期间护士胃管定位方法的现状并分析其影响因素。方法根据AACN(American Association of Critical-Care Nurses)实践警报,自行设计调查问卷,对957名临床护士进行问卷调查。结果管饲期间护士胃管定位的时间选择存在差异,291人(32.08%)选择在管饲饮食前+交接班时;胃管定位的方法选择中,497人(51.93%)通过听诊腹部气过水声定位,564人(58.93%)回抽胃内容物定位,而AACN推荐的最简单直观的胃管刻度确定法和pH值测试法,仅393人(41.06%)和31人(3.24%)总是使用。不同医院级别、是否ICU护士选择胃管刻度确定法及不同医院级别、护龄、学历、职称、是否专科护士选择pH值测试法存在差异(P<0.05,P<0.01)。结论管饲期间护士胃管定位方法的选择与实践警报推荐存在一定差距。护士应转变观念,加强相关理论知识学习和进行积极地循证护理实践,以更准确有效地实施临床护理操作。展开更多
基金National Natural Science Foundation of China(12103020,12363009)Natural Science Foundation of Jiangxi Province(20224BAB211011)+1 种基金Open Project Program of State Key Laboratory of Lunar and Planetary Sciences(Macao University of Science and Technology)(Macao FDCT grant No.002/2024/SKL)Youth Talent Project of Science and Technology Plan of Ganzhou(2022CXRC9191,2023CYZ26970)。
文摘Lunar impact crater detection is crucial for lunar surface studies and spacecraft landing missions,yet deep learning still struggles with accurately detecting small craters,especially when relying on incomplete catalogs.In this work,we integrate Digital Elevation Model(DEM)data to construct a high-quality dataset enriched with slope information,enabling a detailed analysis of crater features and effectively improving detection performance in complex terrains and low-contrast areas.Based on this foundation,we propose a novel two-stage detection network,MSFNet,which leverages multi-scale adaptive feature fusion and multisize ROI pooling to enhance the recognition of craters across various scales.Experimental results demonstrate that MSFNet achieves an F1 score of 74.8%on Test Region1 and a recall rate of 87%for craters with diameters larger than 2 km.Moreover,it shows exceptional performance in detecting sub-kilometer craters by successfully identifying a large number of high-confidence,previously unlabeled targets with a low false detection rate confirmed through manual review.This approach offers an efficient and reliable deep learning solution for lunar impact crater detection.
文摘目的了解管饲期间护士胃管定位方法的现状并分析其影响因素。方法根据AACN(American Association of Critical-Care Nurses)实践警报,自行设计调查问卷,对957名临床护士进行问卷调查。结果管饲期间护士胃管定位的时间选择存在差异,291人(32.08%)选择在管饲饮食前+交接班时;胃管定位的方法选择中,497人(51.93%)通过听诊腹部气过水声定位,564人(58.93%)回抽胃内容物定位,而AACN推荐的最简单直观的胃管刻度确定法和pH值测试法,仅393人(41.06%)和31人(3.24%)总是使用。不同医院级别、是否ICU护士选择胃管刻度确定法及不同医院级别、护龄、学历、职称、是否专科护士选择pH值测试法存在差异(P<0.05,P<0.01)。结论管饲期间护士胃管定位方法的选择与实践警报推荐存在一定差距。护士应转变观念,加强相关理论知识学习和进行积极地循证护理实践,以更准确有效地实施临床护理操作。
