Remodeling of ion channels is an important mechanism of arrhythmia induced by heart failure (HF). We investigated the expression of potassium channel encoding genes in the ventricles of rabbit established by volumeo...Remodeling of ion channels is an important mechanism of arrhythmia induced by heart failure (HF). We investigated the expression of potassium channel encoding genes in the ventricles of rabbit established by volumeoverload operation followed with pressure-overload. The reversible effect of these changes with bisoprolol was also evaluated. The HF group exhibited left ventricular enlargement, systolic dysfunction, prolongation of corrected QT interval (QTc), and increased plasma brain natriuretic peptide levels in the HF rabbits. Several potassium channel subunit encoding genes were consistently down-regulated in the HF rabbits. After bisoprolol treatment, heart function was improved significantly and QTc was shortened. Additionally, the mRNA expression of potassium channel subunit genes could be partially reversed. The down-regulated expression of potassium channel subunits Kv4.3, Kv1.4, KvLQT1, minK and Kir 2.1 may contribute to the prolongation of action potential duration in the heart of rabbits induced by volume combined with pressure overload HF. Bisoprolol could partially reverse these down-regulations and improve heart function.展开更多
Parametric down-conversion(PDC) sources play an important role in quantum information processing, therefore characterizing their properties is necessary. Here we present a statistical model to assess the properties ...Parametric down-conversion(PDC) sources play an important role in quantum information processing, therefore characterizing their properties is necessary. Here we present a statistical model to assess the properties of the PDC source with certain distribution, such as the brightness and photon channel transmissions, we only need to measure the singles and coincidences counts in a few seconds. Furthermore, we validate the model by applying it to a PDC source generating highly non-degenerate photon pairs. The results of the experiment indicate that our method is more simple, efficient, and less time consuming.展开更多
针对3D目标检测点云处理方法存在下采样目标点少,小目标特征信息丢失的问题,提出改进的PointVoxel特征提取方法.首先,以当前先进3D目标检测PV-RCNN(Point-Voxel Feature Set Abstraction for 3D Object Detection)模型为基础,就point-ba...针对3D目标检测点云处理方法存在下采样目标点少,小目标特征信息丢失的问题,提出改进的PointVoxel特征提取方法.首先,以当前先进3D目标检测PV-RCNN(Point-Voxel Feature Set Abstraction for 3D Object Detection)模型为基础,就point-based (基于纯点云)采样后目标点数量较少的问题,提出C-FPS (基于中心最远点采样)算法,即通过图像筛选点云范围,根据标签设置对X增加一个归一化乘以中心点的偏移量,优化点云分布,提高下采样目标点数量;然后,针对voxel-based (基于体素)需要划分体素大小与特征提取平衡的问题,提出体素图像特征融合方法,通过多通道卷积神经网络提取目标图像特征,将多通道特征与voxel-based提取的点云特征进行融合,弥补划分大小导致的特征信息丢失;最后,在KITTI数据集上进行验证.实验表明,与PV-RCNN模型相比,在当前困扰计算机视觉中的小目标检测上,该特征提取方法有效地提升了对小目标的检测能力,对于小目标行人和骑行者,其平均识别精度均优于PV-RCNN模型,提升幅度分别达到了1.62%,1.81%.展开更多
基金supported by the State Key Program of the National Natural Science Foundation of China (No. 30830051)
文摘Remodeling of ion channels is an important mechanism of arrhythmia induced by heart failure (HF). We investigated the expression of potassium channel encoding genes in the ventricles of rabbit established by volumeoverload operation followed with pressure-overload. The reversible effect of these changes with bisoprolol was also evaluated. The HF group exhibited left ventricular enlargement, systolic dysfunction, prolongation of corrected QT interval (QTc), and increased plasma brain natriuretic peptide levels in the HF rabbits. Several potassium channel subunit encoding genes were consistently down-regulated in the HF rabbits. After bisoprolol treatment, heart function was improved significantly and QTc was shortened. Additionally, the mRNA expression of potassium channel subunit genes could be partially reversed. The down-regulated expression of potassium channel subunits Kv4.3, Kv1.4, KvLQT1, minK and Kir 2.1 may contribute to the prolongation of action potential duration in the heart of rabbits induced by volume combined with pressure overload HF. Bisoprolol could partially reverse these down-regulations and improve heart function.
基金Project supported by the Strategic Priority Research Program(B)of the Chinese Academy of Sciences(CAS)(Grant Nos.XDB01030100 and XDB01030300)the National Key Research and Development Program of China(Grant No.2016YFA0302600)the National Natural Science Foundation of China(Grant Nos.61475148 and 61575183)
文摘Parametric down-conversion(PDC) sources play an important role in quantum information processing, therefore characterizing their properties is necessary. Here we present a statistical model to assess the properties of the PDC source with certain distribution, such as the brightness and photon channel transmissions, we only need to measure the singles and coincidences counts in a few seconds. Furthermore, we validate the model by applying it to a PDC source generating highly non-degenerate photon pairs. The results of the experiment indicate that our method is more simple, efficient, and less time consuming.
文摘针对3D目标检测点云处理方法存在下采样目标点少,小目标特征信息丢失的问题,提出改进的PointVoxel特征提取方法.首先,以当前先进3D目标检测PV-RCNN(Point-Voxel Feature Set Abstraction for 3D Object Detection)模型为基础,就point-based (基于纯点云)采样后目标点数量较少的问题,提出C-FPS (基于中心最远点采样)算法,即通过图像筛选点云范围,根据标签设置对X增加一个归一化乘以中心点的偏移量,优化点云分布,提高下采样目标点数量;然后,针对voxel-based (基于体素)需要划分体素大小与特征提取平衡的问题,提出体素图像特征融合方法,通过多通道卷积神经网络提取目标图像特征,将多通道特征与voxel-based提取的点云特征进行融合,弥补划分大小导致的特征信息丢失;最后,在KITTI数据集上进行验证.实验表明,与PV-RCNN模型相比,在当前困扰计算机视觉中的小目标检测上,该特征提取方法有效地提升了对小目标的检测能力,对于小目标行人和骑行者,其平均识别精度均优于PV-RCNN模型,提升幅度分别达到了1.62%,1.81%.