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Determination of a Cut-Off Point of a Scale for Achievement Motive in Geriatrics That Predicts the Frequency of Undertaking Instrumental Activities of Daily Living in Community-Dwelling Elderly People
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作者 Nobuyuki Sano Hisato Nakazono 《Advances in Aging Research》 2019年第6期107-118,共12页
Background: Among elderly people, rehabilitation is important for reducing the risk of falls and hospitalization and to maintain an independent life for longer. Motivation is a factor for elderly people to lead an act... Background: Among elderly people, rehabilitation is important for reducing the risk of falls and hospitalization and to maintain an independent life for longer. Motivation is a factor for elderly people to lead an active daily life and leave home more frequently. Purpose: The purposes of this study were to determine the optimal cut-off point in the Scale for Achievement Motive in Geriatrics (SAMG) that could identify individuals as inactive or active, based on the Frenchay Activities Index (FAI), and to compare characteristics between active and inactive groups classified by the cut-off point. Methods: A cross-sectional study of 285 community-dwelling elderly people measured SAMG and FAI and physical function. Receiver operating characteristic (ROC) analysis was used to calculate the area under the curve (AUC) that was the optimal cut-off point for the SAMG total score, with the associated sensitivity and 1-specificity when compared with the FAI results. Demographic parameters and physical function were compared between two groups defined by cut-off point. Results: The AUC was 0.78, the optimal cut-off for SAMG total score for indicating inactivity was ≤48, the sensitivity was 77.98% and the 1-specificity was 75.00%. The group with SAMG score >48 was characterized by a significantly higher proportion of women, fewer people sharing a house, and participation in more hobbies. Discussion: A cut-off point of 48 in the SAMG could be a predictive index of motivation toward goals for individuals with inactive daily activities. The group with score higher than the cut-off was characterized by more women, fewer people living together, and more hobbies than the group with lower scores. 展开更多
关键词 ACHIEVEMENT MOTIVE INSTRUMENTAL Activities of Daily Living cut-off point Preventive Care COMMUNITY-DWELLING Elderly People
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Determination of the Optimal Waist Circumference Cut-Off Points in Benin Adults
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作者 Victoire Damienne Agueh Charles Sossa +8 位作者 Dona Marius-Edgard Ouendo Noel M. Paraizo Colette Azandjemè Alphonse Kpozehouen Clémence Metonnou Jacques Saizonou Laurent T. Ouédraogo Michel Makoutodé Hélène Delisle 《Open Journal of Epidemiology》 2015年第4期217-228,共12页
Obesity is an independent risk factor for chronic diseases such as diabetes, cardiovascular diseases and certain cancers. Early detection of abdominal obesity followed by appropriate interventions will prevent associa... Obesity is an independent risk factor for chronic diseases such as diabetes, cardiovascular diseases and certain cancers. Early detection of abdominal obesity followed by appropriate interventions will prevent associated diseases. The objective was to determine optimal waist circumference (WC) cut-off points predictive of at least one other component of metabolic syndrome in Benin adults. This longitudinal and observational study included at the baseline 541 apparently healthy subjects aged 25 - 60 years randomly selected in the largest city of Cotonou (n = 200), the smaller-size city of Ouidah (n = 171) and rural surroundings of Ouidah (n = 170) in Benin. Components of the metabolic syndrome considered along with abdominal obesity were high blood pressure, high fasting glycaemia, low HDL-cholesterol and high triglycerides as defined by the Joint Interim Statement. After the baseline survey, the subjects were followed-up for four years. Complete data at baseline and four years later were available in 416 subjects. The receiver operating characteristic (ROC) curve for waist circumference to predict at least one other component of the metabolic syndrome was plotted and the Youden index was used to define the optimal cut-offs of WC. At the baseline of the study, the optimal WC cut-off point to predict the presence of at least one other component of the metabolic syndrome was 80 cm for men (sensitivity = 0.62, specificity = 0.65);the area under the ROC curve was 0.67 (IC 95%: 0.61-0.74). In women, the optimal WC cut-off point was 90 cm (sensitivity = 0.54, specificity = 0.80), and the area under the ROC curve was 0.68 (IC 95%: 0.62-0.75). These optimal cut-offs were similar four years later. Optimum WC cut-off points for both men and women in Benin differ from those currently recommended for sub-Saharan Africans. Therefore, waist circumference cut-off points for abdominal obesity need to be reconsidered for these populations. 展开更多
关键词 WAIST CIRCUMFERENCE cut-offs CARDIOMETABOLIC Risk BENIN
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基于WSS-Pointnet的变电站点云弱监督语义分割方法
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作者 裴少通 孙海超 +2 位作者 胡晨龙 王玮琦 兰博 《电工技术学报》 北大核心 2026年第1期234-245,共12页
现有的变电站点云语义分割算法均采用完全监督学习,需要大量人工标注点云数据,导致分割任务耗时长且成本高昂。为解决这一问题,该文提出一种基于PointNet改进的弱监督语义分割PointNet(WSS-PointNet)算法。首先,通过构建多层降采样结构... 现有的变电站点云语义分割算法均采用完全监督学习,需要大量人工标注点云数据,导致分割任务耗时长且成本高昂。为解决这一问题,该文提出一种基于PointNet改进的弱监督语义分割PointNet(WSS-PointNet)算法。首先,通过构建多层降采样结构,结合采样层与分组层对输入点云数据进行多尺度特征提取,从而捕捉点云在不同尺度上的几何和拓扑信息。在此基础上,引入PointNet结构以进一步提取区域特征,优化局部特征整合与全局特征表示;针对粗粒度语义特征的优化,提出膨胀式语义信息嵌入与浸染式语义信息嵌入两种模块,分别采用“由内而外”和“由外而内”的信息传递策略对点云语义信息进行细致处理,两种嵌入机制均基于图卷积神经网络,通过捕捉局部连接模式与信息共享实现语义特征的高效传播。其次,构建变电站点云数据集,并对WSS-PointNet算法进行消融实验,同时与主流的完全监督学习算法和弱监督学习算法进行对比。经实验验证,WSS-PointNet相比于改进前将变电站点云分割的总体精度(OA)提高了10.3个百分点,平均交并比(mIoU)提高了10.1个百分点,平均准确率(mAcc)提高了10.5个百分点,同时在标注所需时间方面缩短了90%,接近完全监督算法中最好的分割效果。该模型可显著降低处理变电站点云数据的时间与成本,同时保持点云分割的高精度。 展开更多
关键词 点云语义分割 弱监督方法 膨胀式语义信息嵌入 浸染式语义信息嵌入 变电站
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基于Pointnet++的花生植株三维模型器官分割研究
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作者 孟兆凡 程曼 +1 位作者 袁洪波 赵欢 《中国农机化学报》 北大核心 2026年第1期118-127,共10页
基于点云进行三维重构并进行器官分割对植物学研究至关重要,为研究花生植株茎叶器官分割训练样本的数量和类型对分割结果的影响规律,基于Pointnet++构建花生植株三维模型茎叶分割网络模型,并对比分析训练集类型以及数量对分割效果的影... 基于点云进行三维重构并进行器官分割对植物学研究至关重要,为研究花生植株茎叶器官分割训练样本的数量和类型对分割结果的影响规律,基于Pointnet++构建花生植株三维模型茎叶分割网络模型,并对比分析训练集类型以及数量对分割效果的影响。当训练集为10株花生幼苗期数据时,模型分割效果最好,准确率、类平均准确率、类平均交并比、F1分数分别为94.5%、81.9%、76.9%、85.7%。其中,在花生荚果期训练集中加入20株开花期数据,类平均准确率、类平均交并比分别上升19.55%、20.75%。试验结果表明,Pointnet++可以有效分割花生植株茎叶器官,训练集的多样性和数据量的增加有利于模型学习花生植株不同生长阶段的形态特征,在训练集中加入相近生长阶段和生长特征的模型数据,并增加数据量对模型分割效果提高更明显。 展开更多
关键词 花生植株 三维建模 点云 器官分割 训练集
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Ultrastructure and key identification points of fossilized Os Draconis in traditional Chinese medicine
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作者 Dong-Han Bai Zi Xing +5 位作者 Zi-Hao Zhang Zhi-Jie Zhang Da-Jun Lu Nan-Xi Huang Qiao-Chu Wang Lu Luo 《Traditional Medicine Research》 2026年第1期39-46,共8页
Background:The medicinal material known as Os Draconis(Longgu)originates from fossilized remains of ancient mammals and is widely used in treating emotional and mental conditions.However,fossil resources are nonrenewa... Background:The medicinal material known as Os Draconis(Longgu)originates from fossilized remains of ancient mammals and is widely used in treating emotional and mental conditions.However,fossil resources are nonrenewable,and clinical demand is increasingly difficult to meet,leading to a proliferation of counterfeit products.During prolonged geological burial,static pressure from the surrounding strata severely compromises the microstructural integrity of osteons in Os Draconis,but Os Draconis still largely retains the structural features of mammalian bone.Methods:Using verified authentic Os Draconis samples over 10,000 years old as a baseline,this study summarizes the ultrastructural characteristics of genuine Os Draconis.Employing electron probe microanalysis and optical polarized light microscopy,we examined 28 batches of authentic Os Draconis and 31 batches of counterfeits to identify their ultrastructural differences.Key points for ultrastructural identification of Os Draconis were compiled,and a new identification approach was proposed based on these differences.Results:Authentic Os Draconis exhibited distinct ultrastructural markers:irregularly shaped osteons with traversing fissures,deformed/displaced Haversian canals,and secondary mineral infill(predominantly calcium carbonate).Counterfeits showed regular osteon arrangements,absent traversal fissures,and homogeneous hydroxyapatite composition.Lab-simulated samples lacked structural degradation features.EPMA confirmed calcium carbonate infill in fossilized Haversian canals,while elemental profiles differentiated lacunae types(void vs.mineral-packed).Conclusion:The study established ultrastructural criteria for authentic Os Draconis identification:osteon deformation,geological fissures penetrating bone units,and heterogenous mineral deposition.These features,unattainable in counterfeits or modern processed bones,provide a cost-effective,accurate identification method.This approach bridges gaps in TCM material standardization and supports quality control for clinical applications. 展开更多
关键词 Os Draconis ULTRASTRUCTURE identification points electron probe polarized light microscope
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基于PointNet与曲率约束的导丝配准方法
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作者 邓子寒 胡陟 +2 位作者 辛绍宗 李树凡 张贝朗 《中国医学物理学杂志》 2026年第2期204-210,共7页
针对血管介入手术过程中,传统配准算法处理柔性导丝的动态变化时,高度依赖导丝的初始位姿,配准精度不足、容易陷入局部最优解和效率低下的问题,提出一种基于PointNet与曲率约束的导丝配准方法。首先,建立导丝和血管的物理模型,获取运动... 针对血管介入手术过程中,传统配准算法处理柔性导丝的动态变化时,高度依赖导丝的初始位姿,配准精度不足、容易陷入局部最优解和效率低下的问题,提出一种基于PointNet与曲率约束的导丝配准方法。首先,建立导丝和血管的物理模型,获取运动点位置。然后,利用PointNet提取关键点特征,通过姿态回归网络预测导丝点云和血管中心线点云的变换矩阵,使用KD-Tree加速搜索点云目标并基于曲率特征约束的迭代最近点算法对配准结果进行优化。实验结果表明,相较于传统方法和基于学习的方法,本文方法的均方误差、平均绝对误差最小,证明该方法在血管介入导丝配准中的有效性。 展开更多
关键词 血管介入 pointNet 回归预测 最近迭代点 曲率
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基于改进PointNet++的中压电力线点云分类方法 被引量:1
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作者 雒建艳 《应用激光》 北大核心 2025年第3期146-158,共13页
针对中压电力线点云分类中存在的噪声干扰、分类精度低和鲁棒性不足的问题,提出一种基于改进PointNet++的中压电力线点云分类方法。首先,通过多种手段提取点云空间信息、几何特征以及局部几何特征等多维度特征,为点云单点构造40维特征向... 针对中压电力线点云分类中存在的噪声干扰、分类精度低和鲁棒性不足的问题,提出一种基于改进PointNet++的中压电力线点云分类方法。首先,通过多种手段提取点云空间信息、几何特征以及局部几何特征等多维度特征,为点云单点构造40维特征向量;然后对PointNet++进行改进,引入了点注意力模块(point attention module,PAM)和组注意力模块(group attention module,GAM),同时与层归一化(layer norm)和残差连接结构组合使用,用以增强其特征的细节捕捉能力,降低复杂环境对分类效果影响;最后采用某地机载采集的10 kV中压电力线走廊数据构建数据集,进行了方法验证。实验结果表明,所提方法在Precision、Recall和F_1-score上均优于传统机器学习方法和基于PointNet、PointNet++的深度学习方法。相较于PointNet++(XYZ+Features),所提方法在Precision、Recall和F_1-score上分别高出1.6个百分点、5.3个百分点和4.6个百分点,且通过可视化结果进一步验证了PAM和GAM的有效性。验证了所提方法在中压电力线点云的提取上更为精确,其结构特征更加清晰,且与周围环境的区分度更高。 展开更多
关键词 激光点云 注意力机制 pointNet++ 中压电力线 点云分类
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基于SwinPoinTr的视角受限下杏鲍菇表型参数测量方法 被引量:2
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作者 谢立敏 黄轶 +2 位作者 吴昊宇 叶大鹏 方兵 《农业机械学报》 北大核心 2025年第3期148-157,共10页
针对菇房内杏鲍菇表型参数测量任务中,由于扫描设备视角受限,扫描的杏鲍菇点云出现残缺问题,基于AdaPoinTr(Adaptive geometry-aware point transformers)提出了改进的SwinPoinTr模型,实现了对残缺杏鲍菇点云的准确补全和杏鲍菇表型参... 针对菇房内杏鲍菇表型参数测量任务中,由于扫描设备视角受限,扫描的杏鲍菇点云出现残缺问题,基于AdaPoinTr(Adaptive geometry-aware point transformers)提出了改进的SwinPoinTr模型,实现了对残缺杏鲍菇点云的准确补全和杏鲍菇表型参数的测量。该方法在使用提出的特征重塑模块的基础上,构建具有几何感知能力的层次化Transformer编码模块,提高了模型对输入点云的利用率和模型捕捉点云细节特征的能力。然后基于泊松重建方法完成了补全点云表面重建,并测量到杏鲍菇表型参数。实验结果表明,本文所提算法在残缺杏鲍菇点云补全任务中,模型倒角距离为1.316×10^(-4),地球移动距离为21.3282,F1分数为87.87%。在表型参数估测任务中,模型对杏鲍菇菌高、体积、表面积估测结果的决定系数分别为0.9582、0.9596、0.9605,均方根误差分别为4.4213 mm、10.8185 cm^(3)、7.5778 cm^(2)。结果证实了该研究方法可以有效地补全残缺的杏鲍菇点云,可以为菇房内杏鲍菇表型参数测量提供基础。 展开更多
关键词 杏鲍菇 智慧菇房 表型参数 点云补全 泊松重建 Swinpointr
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基于Point Transformer方法的鱼类三维点云模型分类 被引量:1
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作者 胡少秋 段瑞 +3 位作者 张东旭 鲍江辉 吕华飞 段明 《水生生物学报》 北大核心 2025年第2期146-155,共10页
为实现对不同鱼类的精准分类,研究共采集110尾真实鱼类的三维模型,对获取的3D模型进行基于预处理、旋转增强和下采样等操作后,获取了1650尾实验样本。然后基于Point Transformer网络和2个三维分类的对比网络进行数据集的分类训练和验证... 为实现对不同鱼类的精准分类,研究共采集110尾真实鱼类的三维模型,对获取的3D模型进行基于预处理、旋转增强和下采样等操作后,获取了1650尾实验样本。然后基于Point Transformer网络和2个三维分类的对比网络进行数据集的分类训练和验证。结果表明,利用本实验的目标方法Point Transformer获得了比2个对比网络更好的分类结果,整体的分类准确率能够达到91.9%。同时对所使用的三维分类网络进行有效性评估,3个模型对于5种真实鱼类模型的分类是有意义的,其中Point Transformer的模型ROC曲线准确率最高,AUC面积最大,对于三维鱼类数据集的分类最为有效。研究提供了一种可以实现对鱼类三维模型进行精准分类的方法,为以后的智能化渔业资源监测提供一种新的技术手段。 展开更多
关键词 点云处理 point Transformer 三维模型 鱼类分类
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基于DI-PointNet的变电站主设备点云高精度语义分割方法 被引量:2
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作者 裴少通 孙海超 +2 位作者 孙志周 胡晨龙 祝雨馨 《电工技术学报》 北大核心 2025年第9期2917-2930,共14页
在变电站机器人巡检任务中,三维点云数据的高精度语义分割是关键技术之一,有助于机器人理解电力设备、障碍物和其他物体的空间布局。然而,现有的点云分割算法在变电站场景中的应用效果有限,准确度较低、计算复杂度高,难以实现对变电站... 在变电站机器人巡检任务中,三维点云数据的高精度语义分割是关键技术之一,有助于机器人理解电力设备、障碍物和其他物体的空间布局。然而,现有的点云分割算法在变电站场景中的应用效果有限,准确度较低、计算复杂度高,难以实现对变电站主设备点云的准确分割。为了解决这一问题,该文提出了一种基于PointNet++的DI-PointNet算法。首先,采用双层连续变换器模块增强点云之间的信息交互,有效地聚合长距离上下文,增大网络有效感受野;其次,通过分层键采样策略生成自注意力机制所需的键值,降低算法复杂度;最后,使用倒置残差模块,通过倒置瓶颈设计和残差连接缓解梯度消失,有效地增加模型的深度,同时降低计算复杂度。此外,该文构建了变电站点云数据集,对DI-PointNet算法进行详细的消融实验,并与主流深度学习算法和电力领域典型点云分割算法进行对比。实验验证结果表明,DI-PointNet算法对变电站主设备点云分割的平均交并比达到82.5%,相比PointNet++算法提高了2.1个百分点,且总体精度提高了3.4个百分点,达到90.1%。DI-PointNet算法为智能电力设备巡检和维护提供了有效的解决方案。 展开更多
关键词 点云语义分割 双层连续变换器 分层键采样 倒置残差 变电站
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基于改进PointNet++的城市道路点云分类方法
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作者 田晟 熊辰崟 龙安洋 《广西师范大学学报(自然科学版)》 北大核心 2025年第4期1-14,共14页
城市道路场景的点云数据量巨大、类别分布不平衡且密度极不均匀,导致现有的点云分类方法难以满足高精度分类的需求。为了解决现有PointNet++网络对局部特征提取不充分的问题,本文充分考虑场景的上下文信息和点之间的全局依赖性,构建融... 城市道路场景的点云数据量巨大、类别分布不平衡且密度极不均匀,导致现有的点云分类方法难以满足高精度分类的需求。为了解决现有PointNet++网络对局部特征提取不充分的问题,本文充分考虑场景的上下文信息和点之间的全局依赖性,构建融合上下文信息的PointNet++点云分类网络模型。首先,基于注意力机制设计局部特征聚合模块,通过动态地融合邻域点特征以充分捕获局部信息。其次,考虑现有的分类模型不能顾及上下文信息,导致复杂场景下的分类性能受限,本文构建上下文感知模块和双注意力模块,从多个维度提取上下文信息,进一步增强特征的表达能力。实验结果表明:改进模型在大型点云数据集下具有更高的分类精度及更强的泛化性能(总体分类精度在Oakland和Paris公开数据集上分别为98.70%和96.84%),更适用于大规模点云分类。 展开更多
关键词 点云分类 pointNet++ 局部特征 注意力机制 上下文信息 城市道路
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Point-GBLS:结合深宽度学习的三维点云分类网络
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作者 张国有 左嘉欣 +3 位作者 潘理虎 郝志祥 郭伟 张雪楠 《计算机系统应用》 2025年第3期1-13,共13页
基于点云的三维物体识别和检测是计算机视觉和自主导航领域的一个重要研究课题.如今,深度学习算法大大提高了三维点云分类的准确性和鲁棒性.然而,深度学习网络通常存在网络结构复杂、训练过程耗时等问题.本文提出了一种三维点云分类网络... 基于点云的三维物体识别和检测是计算机视觉和自主导航领域的一个重要研究课题.如今,深度学习算法大大提高了三维点云分类的准确性和鲁棒性.然而,深度学习网络通常存在网络结构复杂、训练过程耗时等问题.本文提出了一种三维点云分类网络Point-GBLS,它将深度学习和宽度学习系统结合在一起.网络结构简单,训练时间短.首先通过基于深度学习的特征提取网络提取点云特征,然后用改进的宽度学习系统对其进行分类.ModelNet40和ScanObjectNN数据集上的实验表明,Point-GBLS识别准确率分别达到92%以上和78%以上,训练时间低于同类深度学习方法的50%以上,优于具有相同骨干的深度学习网络. 展开更多
关键词 三维模型分类 点云 深度学习 宽度学习系统
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基于Point-Attention点云分类的激光雷达故障诊断方法研究
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作者 谭光兴 程星 陈海峰 《现代电子技术》 北大核心 2025年第20期10-17,共8页
在智能车辆和自主机器人领域,激光雷达传感器因高精度和可靠性,被广泛应用于环境感知和物体检测,因此其故障诊断尤为重要。激光雷达内部的故障往往有固件提醒,而外部环境因素导致的故障检测挑战较大,比如车辆形变、污垢等导致的激光点... 在智能车辆和自主机器人领域,激光雷达传感器因高精度和可靠性,被广泛应用于环境感知和物体检测,因此其故障诊断尤为重要。激光雷达内部的故障往往有固件提醒,而外部环境因素导致的故障检测挑战较大,比如车辆形变、污垢等导致的激光点云遮挡故障,难以直接在固件层面体现,需通过外部检测进行诊断。为此,提出一种基于Point-Attention激光雷达遮挡故障诊断方法。首先,结合多头几何注意力机制模块与CBAM模块、残差连接机制,增强了模型对点云数据中关键特征的提取能力,提高了分类准确性和鲁棒性;在真实的ScanObjectNN数据集和ModelNet40基准数据集上对Point-Attention模型进行了实验。该模型在分类任务上准确率分别达到了93.7%、82.5%。其次,融合了一种时间特征捕捉机制,从而使模型能够更好地适应现实场景中的时间相关性,进而更准确地处理激光雷达的遮挡故障。实验结果表明,所提方法能有效诊断激光雷达遮挡故障,最佳总体精度达99%以上,为激光雷达故障诊断提供了一种高效准确的解决方案。 展开更多
关键词 激光雷达 故障诊断 点云分类 残差连接 遮挡检测 时间特征捕捉
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利用PEG实验确定女性巨泌乳素cut-off值及比较分析
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作者 宋胜男 陈陆 +3 位作者 刘雨珩 陈怡菲 翟燕红 曹正 《标记免疫分析与临床》 2025年第6期1233-1236,1289,共5页
目的利用聚乙二醇(PEG)沉淀实验,确定本实验室所应用的中国亚辉龙公司的iFlash-3000型化学发光免疫分析仪及相关配套试剂检测巨泌乳素的cut-off值。方法在2024年8月至2024年9月检测的泌乳素1619例标本中,收集泌乳素升高标本206例,进行PE... 目的利用聚乙二醇(PEG)沉淀实验,确定本实验室所应用的中国亚辉龙公司的iFlash-3000型化学发光免疫分析仪及相关配套试剂检测巨泌乳素的cut-off值。方法在2024年8月至2024年9月检测的泌乳素1619例标本中,收集泌乳素升高标本206例,进行PEG确认实验后进行分析,利用ROC曲线计算出cut-off值。结果本实验室巨泌乳素阳性率为12.73%。根据数据分析,PEG结果可分为3组,其中149例(72.33%)为单体泌乳素组,22例(10.68%)为混合泌乳素组,35例(16.99%)为巨泌乳素组。非单泌乳素组与单泌乳素组Youden指数下,当cut-off值为1086.95mIU/L时,灵敏度为77.1%,特异性为64.9%;非巨泌乳素组与巨泌乳素组Youden指数下,当cut-off值为1154.59mIU/L时,灵敏度为68.4%,特异性为70.5%。结论iFlash-3000型化学发光免疫分析仪及配套试剂检测泌乳素与PEG实验结果呈正相关;利用实验室cut-off值与临床信息相互认知才是判断巨泌乳素血症的有效方式。 展开更多
关键词 泌乳素检测 iFlash-3000 PEG实验 cut-off
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Nomenclature and location of acupuncture points for laboratory animals Part 3:Mouse 被引量:3
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作者 《World Journal of Acupuncture-Moxibustion》 2025年第2期160-162,共3页
This paper introduces part of the content in the association standard,T/CAAM0002–2020 Nomenclature and Location of Acupuncture Points for Laboratory Animals Part 3:Mouse.This standard was released by the China Associ... This paper introduces part of the content in the association standard,T/CAAM0002–2020 Nomenclature and Location of Acupuncture Points for Laboratory Animals Part 3:Mouse.This standard was released by the China Association of Acupuncture and Moxibustion on May 15,2020,implemented on October 31,2020,and published by Standards Press of China.The standard was drafted by the Institute of Acupuncture and Moxibustion,China Academy of Chinese Medical Sciences,and the Nanjing University of Chinese Medicine.Principal draftsmen:Xiang-hong JING and Xing-bang HUA.Participating draftsmen:Wan-zhu BAI,Bin XU,Dong-sheng XU,Yi GUO,Tie-ming MA,Xin-jun WANG,and Sheng-feng LU. 展开更多
关键词 acupuncture points STANDARD MOUSE NOMENCLATURE location acupuncture points association standardt caam LOCATION acupuncture moxibustion
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PEG沉淀法筛查巨泌乳素的cut-off值、灰区设置对泌乳素亚型分布的影响
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作者 宋胜男 陈陆 +3 位作者 李幽然 刘雨珩 翟燕红 曹正 《标记免疫分析与临床》 2025年第10期2091-2096,共6页
目的探讨聚乙二醇(PEG)沉淀法对高泌乳素血症(HPRL)患者进行巨泌乳素(M-PRL)筛查时单体泌乳素(PRL)回收率cut-off值、灰区设置对泌乳素亚型分布的影响。方法选取HPRL患者983例,采用PEG法进行M-PRL筛查,将单体PRL回收率40%作为cut-off值,... 目的探讨聚乙二醇(PEG)沉淀法对高泌乳素血症(HPRL)患者进行巨泌乳素(M-PRL)筛查时单体泌乳素(PRL)回收率cut-off值、灰区设置对泌乳素亚型分布的影响。方法选取HPRL患者983例,采用PEG法进行M-PRL筛查,将单体PRL回收率40%作为cut-off值,以cut-off值上下20%作为灰区,将患者分为巨泌乳素组196例、灰区组96例和真性HPRL组691例,比较3组性激素水平,对灰区患者进行临床诊断,并分析患者的泌乳素亚型分布情况。结果巨泌乳素组平均回收率为(32.00±3.57)%,灰区组为(20.90±4.21)%,真性HPRL为(72.66±4.26)%,3组平均回收率之间差异有统计学意义(F=7828.88,P<0.05)。男性患者灰区组LH、FSH与真性HPRL组比较更高(P<0.05);女性患者巨泌乳素组LH、FSH和灰区组比较更高,真性HPRL组LH/FSH和巨泌乳素组比较更高(P<0.05)。男性巨泌乳素25例(17.01%),单体泌乳素103例(70.07%),女性巨泌乳素172例(20.57%),单体泌乳素589例(70.45%),男性和女性巨泌乳率、单体泌乳素率比较差异无统计学意义(P>0.05)。结论男性灰区患者未见HPRL,以特殊检查、前列腺疾病、勃起障碍最为多见,占比36.85%;女性灰区患者有2例HPRL,以月经问题最为多见,占比42.86%;男性和女性高泌乳血症率比较差异无统计学意义(P>0.05)。对HPRL患者采用PEG法进行M-PRL筛查时,进行单体PRL回收率的灰区设置,并进行性激素水平检查,有助于准确诊断灰区患者,并判断泌乳素亚型分布。 展开更多
关键词 聚乙二醇沉淀法 巨泌乳素筛查 高泌乳素血症 单体泌乳素 cut-off 灰区 亚型分布
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Multi-sensor missile-borne LiDAR point cloud data augmentation based on Monte Carlo distortion simulation 被引量:1
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作者 Luda Zhao Yihua Hu +4 位作者 Fei Han Zhenglei Dou Shanshan Li Yan Zhang Qilong Wu 《CAAI Transactions on Intelligence Technology》 2025年第1期300-316,共17页
Large-scale point cloud datasets form the basis for training various deep learning networks and achieving high-quality network processing tasks.Due to the diversity and robustness constraints of the data,data augmenta... Large-scale point cloud datasets form the basis for training various deep learning networks and achieving high-quality network processing tasks.Due to the diversity and robustness constraints of the data,data augmentation(DA)methods are utilised to expand dataset diversity and scale.However,due to the complex and distinct characteristics of LiDAR point cloud data from different platforms(such as missile-borne and vehicular LiDAR data),directly applying traditional 2D visual domain DA methods to 3D data can lead to networks trained using this approach not robustly achieving the corresponding tasks.To address this issue,the present study explores DA for missile-borne LiDAR point cloud using a Monte Carlo(MC)simulation method that closely resembles practical application.Firstly,the model of multi-sensor imaging system is established,taking into account the joint errors arising from the platform itself and the relative motion during the imaging process.A distortion simulation method based on MC simulation for augmenting missile-borne LiDAR point cloud data is proposed,underpinned by an analysis of combined errors between different modal sensors,achieving high-quality augmentation of point cloud data.The effectiveness of the proposed method in addressing imaging system errors and distortion simulation is validated using the imaging scene dataset constructed in this paper.Comparative experiments between the proposed point cloud DA algorithm and the current state-of-the-art algorithms in point cloud detection and single object tracking tasks demonstrate that the proposed method can improve the network performance obtained from unaugmented datasets by over 17.3%and 17.9%,surpassing SOTA performance of current point cloud DA algorithms. 展开更多
关键词 data augmentation LIDAR missile-borne imaging Monte Carlo simulation point cloud
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Optimizing electronic structure through point defect engineering for enhanced electrocatalytic energy conversion
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作者 Wei Ma Jiahao Yao +6 位作者 Fang Xie Xinqi Wang Hao Wan Xiangjian Shen Lili Zhang Menggai Jiao Zhen Zhou 《Green Energy & Environment》 SCIE EI CAS 2025年第1期109-131,共23页
Point defect engineering endows catalysts with novel physical and chemical properties,elevating their electrocatalytic efficiency.The introduction of defects emerges as a promising strategy,effectively modifying the e... Point defect engineering endows catalysts with novel physical and chemical properties,elevating their electrocatalytic efficiency.The introduction of defects emerges as a promising strategy,effectively modifying the electronic structure of active sites.This optimization influences the adsorption energy of intermediates,thereby mitigating reaction energy barriers,altering paths,enhancing selectivity,and ultimately improving the catalytic efficiency of electrocatalysts.To elucidate the impact of defects on the electrocatalytic process,we comprehensively outline the roles of various point defects,their synthetic methodologies,and characterization techniques.Importantly,we consolidate insights into the relationship between point defects and catalytic activity for hydrogen/oxygen evolution and CO_(2)/O_(2)/N_(2) reduction reactions by integrating mechanisms from diverse reactions.This underscores the pivotal role of point defects in enhancing catalytic performance.At last,the principal challenges and prospects associated with point defects in current electrocatalysts are proposed,emphasizing their role in advancing the efficiency of electrochemical energy storage and conversion materials. 展开更多
关键词 point defect engineering DOPING VACANCY ELECTROCATALYSIS Electronic structure
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Nomenclature and location of acupuncture points for laboratory animals Part 2 被引量:1
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作者 《World Journal of Acupuncture-Moxibustion》 2025年第2期163-165,共3页
This paper introduces part of the content in the association standard,T/CAAM0002–2020 Nomenclature and Location of Acupuncture Points for Laboratory Animals Part 2:Rat.This standard was released by the China Associat... This paper introduces part of the content in the association standard,T/CAAM0002–2020 Nomenclature and Location of Acupuncture Points for Laboratory Animals Part 2:Rat.This standard was released by the China Association of Acupuncture and Moxibustion on May 15,2020,implemented on October 31,2020,and published by Standards Press of China.The standard was drafted by the Institute of Acupuncture and Moxibustion,China Academy of Chinese Medical Sciences,and the Nanjing University of Chinese Medicine.Principal draftsmen:Xiang-hong JING and Xing-bang HUA.Participating draftsmen:Wan-Zhu BAI,Bin XU,Dong-sheng XU,Yi GUO,Tie-ming MA,Xin-jun WANG,and Sheng-feng LU. 展开更多
关键词 acupuncture points STANDARD NOMENCLATURE rat association standardt caam LOCATION acupuncture moxibustion
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Rapid springtime leaf osmotic adjustment,but low late-seasonal and interannual variation in leaf turgor loss points in three temperate tree species 被引量:1
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作者 Norbert Kunert 《Journal of Forestry Research》 2025年第4期31-40,共10页
Leaf turgor loss point has been recognized as an important plant physiological trait explaining a species’drought tolerance( π_(tlp)).Less is known about the variation of π_(tlp) in time and how seasonal or interan... Leaf turgor loss point has been recognized as an important plant physiological trait explaining a species’drought tolerance( π_(tlp)).Less is known about the variation of π_(tlp) in time and how seasonal or interannual differences in water availability are affecting π_(tlp) as a static trait.I monitored the seasonal variation of π_(tlp) during a drought year starting in early spring with juvenile leaves and assessed the interannual variation in π_(tlp) of fully matured leaves among years with diverting water availability for three temperate broad-leaved tree species.The largest seasonal changes in π_(tlp) occurred during leaf unfolding until leaves were fully developed and matured.After leaves matured,no significant changes occurred for the rest of the vegetation period.Interannual variation that could be related to water availability was only present in one of the three tree species.The results suggest that the investigated species have a rapid period of osmotic adjustment early in the growing season followed by a period of relative stability,when π_(tlp) can be considered as a static trait. 展开更多
关键词 Drought Leaf drought tolerance traits Tree mortality Turgor loss point
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