Combining geometrical and intensity information to recognize vehicles from super-high density UAV-LiDAR point clouds.

The traditional airborne LiDAR point clouds vehicle recognition algorithms only utilize the contained geometric information and are not sufficient to recognize vehicles accurately, especially in complex urban scenes. And their applicability in super-high density UAV-LiDAR point clouds is unknown. Therefore, a 3-D algorithm combining geometric and intensity information from super-high density UAV-LiDAR point clouds is presented.

Effects of five teaching methods in clinical nursing teaching: A protocol for systematic review and network meta-analysis.

Introduction: Several teaching methods have been used in clinical nursing teaching to increase quality and efficiency, but disagreements over their effects persist. This study will evaluate the effects of five teaching methods in clinical nursing on nursing students' knowledge, skill scores, learning satisfaction, and patients' satisfaction.

Methods: We will conduct searches in PubMed, Embase, Web of Science, The Cochrane Library, China National Knowledge Infrastructure Database (CNKI), China Biological literature database (CBM), Wanfang Database, and China Science and Technology Journal Database (CSTJ) up to April 2022.

The value of first-trimester platelet parameters in predicting gestational diabetes mellitus.

Objective: To explore the potential clinical value of platelet parameters in early pregnancy in predicting gestational diabetes mellitus (GDM).

Methods: A total of 1188 singleton pregnant women were included in the regular antenatal examination and delivered in the First Affiliated Hospital of Sun Yat-Sen University from January 2016 to December 2018, who had no pre-pregnancy diabetes, no factors leading to elevated blood glucose level, no medical complications and no other obstetrical complications. Blood routine examination was performed at the 11-13 gestational weeks.