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Clinical observation of the efficacy on renal colic treated with electroacupuncture at the Xi-cleft points of kidney and bladder meridians as well as the relevant Front-mu points 被引量:2
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作者 陈敏 李赛美 《World Journal of Acupuncture-Moxibustion》 2012年第1期7-12,共6页
Objective To observe the efficacy difference of renal colic treated with electroacupuncture in comparison with intramuscular injection with Fortanodyn. Methods Fifty-one patients with renal colic were randomly divided... Objective To observe the efficacy difference of renal colic treated with electroacupuncture in comparison with intramuscular injection with Fortanodyn. Methods Fifty-one patients with renal colic were randomly divided into an electroacupuncture group (26 cases) and a medicine group (25 cases). In the electroacupuncture group, electroacupuncture was applied to the Xi-cleft points of kidney and bladder meridians, named Shuǐquán (水泉 KI 5) and Jīnmén (金门 BL 63) as well as the relevant Front-mu points, Jīngmén (京门 GB 25) and Zhōngjí (中极 CV 3). In the medicine group, intramuscular injection with Fortanodyn (100 mg) was administered. Once treatment was applied for immediate analgesia in each group. Before and after treatment, the Simplified McGill Pain Questionnaire (SF-MPQ) and the Visual Analogy Scale (VAS) were adopted for pain assessment respectively. The clinical efficacy and the recurrence of the disease were observed in the two groups. Results The clinically cured and remarkably effective rate was 69.2% (18/26) in the electroacupuncture group, which was superior to 44.0% (11/25) in the medicine group (P0.05). Separately, in 10 min, 30 min, 60 min and 120 min after treatment, in either group, SF-MPQ and VAS scores were obviously reduced as compared with those before treatment (all P0.05). The scores in 10 min and 30 min after treatment in the electroacupuncture group were reduced more remarkably as compared with those in the medicine group (both P0.05). The complete remission time in the electroacupuncture group was shorter apparently than that in the medicine group [(131.19±152.12) min vs (184.29±84.04) min, P0.05]. The recurrence rate of renal colic in 24 h was 8.0% (2/25) in the electroacupuncture group, which was lower slightly than 31.6% (6/19) in the medicine group (P0.05). Conclusion Renal colic can be effectively relieved in the treatment with either electroacupuncture at the Xi-cleft points and the Front-mu points of kidney and bladder meridians or intramuscular injection with Fortanodyn. But, the electroacupuncture therapy achieves much better efficacy. 展开更多
关键词 renal colic ELECTROACUPUNCTURE Xi-cleft points front-mu points
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Obesity complicated with insulin resistance treated with the electroacupuncture at the combination of back-shu and front-mu points:A randomized clinical trail 被引量:6
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作者 Wei NI Ping WANG +5 位作者 Hai-jiao CHEN Yuan LIU Wen-liang ZHANG Ling QIU Zeng CAO Run-qi ZHONG 《World Journal of Acupuncture-Moxibustion》 CSCD 2022年第3期213-217,共5页
Objective To observe the influences of electroacupuncture at the combination of back-shu and front-mu points on insulin sensitivity indicators and somatological parameter indicators in the patients with obesity compli... Objective To observe the influences of electroacupuncture at the combination of back-shu and front-mu points on insulin sensitivity indicators and somatological parameter indicators in the patients with obesity complicated with insulin resistance.Methods A total of 60 patients with obesity and insulin resistance were randomized into a control group(30 cases,4 cases of them dropped out)and a trial group(30 cases,2 cases of them dropped out).In the control group,the intervention with diet and exercise were provided.In the trial group,on the base of the treatment as the control group,electroacupuncture was added at the combination of back-shu points and front-mu points,3 times weekly.The duration of treatment was 12 weeks in two groups.The therapeutic effect and the somatological parameter indicators(body mass[BW],body mass index[BMI],waist circumference[WC],waist-to-hip ratio[WHR])as well as the insulin sensitivity indicators(fasting plasma glucose[FPG],fasting insulin[FIN],insulin sensitivity index[ISI]and insulin resistance index[HOMA-IR])before and after treatment were compared between two groups.Results①The effective rate was 92.86%in the trial group and was 57.69%in the control group.The effective rate of the trial group was higher than the control group,indicating the statistical difference(P<0.01).②BW,BMI,WC and WHR after treatment were all reduced obviously as compared with before treatment in two groups(all P<0.01).After treatment,BMI,WC and WHR in the trial group were all lower than those in the control group(all P<0.05)and the differences in BW,BMI,WC and WHR before and after treatment in the trial group were larger than those in the control group(all P<0.01).③After treatment,FIN and HOMA-IR were all lower significantly than those before treatment in two group and ISI was increased significantly as compared with before treatment(all P<0.01).After treatment,FPG was reduced significantly as compared with before treatment in the trial group(P<0.01)and the difference in FPG was not significant statistically in the control group(P>0.05).After treatment,FPG and HOMA-IR in the trial group were lower than the control group and ISI was higher than the control group(all P<0.05).Besides,the differences in FPG,FIN,ISI and HOMA-IR before and after treatment in the trial group were larger significantly than those in the control group(P<0.01,P<0.05).Conclusion Electroacupuncture at the combination of back-shu and front-mu points in association with the intervention with diet and exercise is effective on obesity complicated with insulin resistance.The effects of this combined therapy are superior as compared with simple intervention with diet and exercise in body mass,body mass index,waist circumference and waist-to-lip ratio as well as fasting blood glucose,fasting insulin,insulin sensitivity index and insulin resistance index in patients. 展开更多
关键词 OBESITY Insulin resistance ELECTROACUPUNCTURE Back-shu points front-mu points Randomized clinical trial(RCT)
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基于改进PointPillars的自动驾驶障碍物点云检测算法
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作者 沈跃 沈卓凡 +2 位作者 刘慧 周昊 曾潇 《江苏大学学报(自然科学版)》 北大核心 2026年第2期125-133,共9页
针对自动驾驶场景下,近处干扰点云误检率高、远处稀疏点云漏检率高的问题,提出了一种基于改进PointPillars的自动驾驶障碍物点云检测算法.首先,通过聚合模块和共享多层感知机(shared multi-layer perceptron,MLP)对柱体内点云进行特征编... 针对自动驾驶场景下,近处干扰点云误检率高、远处稀疏点云漏检率高的问题,提出了一种基于改进PointPillars的自动驾驶障碍物点云检测算法.首先,通过聚合模块和共享多层感知机(shared multi-layer perceptron,MLP)对柱体内点云进行特征编码,采用最大池化与平均池化叠加的方法将点云的显著特征与细节特征映射为柱体特征;其次,针对算法对伪图特征关注与利用不充分的问题,引入坐标注意力(coordinate attention,CA)机制和残差连接的伪图特征提取模块(attention and residual second block,ARSB),将深层与浅层特征图进行融合,优化算法梯度,增强算法对有效目标的关注度.试验结果表明:改进算法对全局点云检测精度较高,平均精度优于PointPillars、稀疏到稠密3D目标检测器(STD)等点云目标检测算法,在汽车类别上的检测精度优势明显,检测速度较快,符合实时性要求. 展开更多
关键词 障碍物点云 深度学习 点云目标检测 点云柱体编码 伪图特征提取模块
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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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PT-MFR:一种基于Point Transformer的CAD模型加工特征识别方法
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作者 何皓辰 方正 +2 位作者 卢政达 肖俊 王颖 《中国科学院大学学报(中英文)》 北大核心 2026年第1期115-124,共10页
加工特征识别在计算机辅助设计(CAD)和制造(CAM)中至关重要,是连接CAD和CAM系统的重要环节。研究者们提出了基于规则和基于学习的2类加工特征识别方法,其中基于学习的方法表现更出色且备受关注。然而,现有识别方法面临着几何信息利用不... 加工特征识别在计算机辅助设计(CAD)和制造(CAM)中至关重要,是连接CAD和CAM系统的重要环节。研究者们提出了基于规则和基于学习的2类加工特征识别方法,其中基于学习的方法表现更出色且备受关注。然而,现有识别方法面临着几何信息利用不足、加工特征定位不精准、实例分割过程复杂等挑战。针对这些问题,提出PT-MFR,一种基于Point Transformer的CAD模型加工特征识别方法,它执行语义分割和实例分割2个任务,分别预测模型每个面的加工特征语义类别并计算面相似度以分割加工特征实例,综合2个任务得到加工特征识别结果。实验结果表明,提出的方法性能优于现有的其他方法。 展开更多
关键词 加工特征识别 点云 神经网络 point Transformer
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基于改进PointNet++的服装点云分割与边界优化
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作者 徐诗琦 马玲 +2 位作者 林熹妍 潘怡婷 邹奉元 《现代纺织技术》 北大核心 2026年第2期90-98,共9页
人体与服装及服装不同部位之间的边界区域常包含复杂几何特征与变化,使得三维点云场景分割方法在进行服装提取时边界分割效果较差,进而影响整体精度。为了提高服装点云分割精度,提出一种融合边界识别的改进PointNet++模型,以提高边界区... 人体与服装及服装不同部位之间的边界区域常包含复杂几何特征与变化,使得三维点云场景分割方法在进行服装提取时边界分割效果较差,进而影响整体精度。为了提高服装点云分割精度,提出一种融合边界识别的改进PointNet++模型,以提高边界区域的分割性能。首先,对输入三维服装点云数据进行初步分割。接着,在初始部件分割结果的基础上,设计基于K邻近算法的边界识别模块并嵌入PointNet++模型,以对初步分割边界进行针对性训练。最后,利用优化后的局部区域提高三维服装的整体分割精度。结果表明:改进PointNet++模型方法在边界区域的总体精度与平均交并比分别为87.37%与86.68%,比基线方法分别提升了32.74%、34.25%。整体区域的总体精度与平均交并比分别为93.53%与92.84%,比基线方法分别提升了1.19%、0.89%。研究方法可显著提升三维服装边界分割精度,为三维服装提取提供技术参考。 展开更多
关键词 三维服装提取 三维点云 pointNet++ 点云分割 边界优化
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Thread-embedding at combined lower hesea and front-mu points for functional constipation with intestinal excess heat:a randomized controlled trial
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作者 XIE Wenting 《China Medical Abstracts(Internal Medicine)》 2025年第2期73-73,共1页
Objective To observe the clinical efficacy of threadembedding at the combined lower he-sea and front-mu points for functional constipation with intestinal excess heat.Methods A total of 80 patients with functional con... Objective To observe the clinical efficacy of threadembedding at the combined lower he-sea and front-mu points for functional constipation with intestinal excess heat.Methods A total of 80 patients with functional constipation of intestinal excess heat were randomly divided into a thread-embedding group(40 cases,2 cases dropped out)and a Chinese patent medication group(40 cases,1 case dropped out).Based on the theory of combined lower he-sea and front-mu points for diseases of fu organs,Zhongwan(CV12),Guanyuan(CV4)and bilateral Zusanli(ST36),Shangjuxu(ST37),Tianshu(ST25),Xiajuxu(ST39)were selected and threadembedding therapy was delivered in the thread-embedding group,once a week.Maren Runchang pll was given orally in the Chinese patent medication group,6-12 g each time,twice a day.Both groups were treated for 4 weeks.Before and after treatment,the scores of constipation assessment scale(CAS),Bristol stool form scale(BSFS),patient-assessment of constipation quality of life(PAC-QOL)and TCM syndrome were observed,and the clinical efficacy was evaluated after treatment in the two groups.Results After treatment,the CAS scores and the TCM syndrome scores were decreased compared with those before treatment(P<0.05),while the BSFS scores were increased compared with those before treatment(P<0.05)in the two groups;the total scores,as well as the physical discomfort and psychosocial discomfort scores of PAC-QOL were decreased compared with those before treatment(P<0.05)in the two groups,the worry and anxiety,and the satisfaction scores of PAC-QOL were decreased compared with those before treatment(P<0.05)in the thread-embedding group.After treatment,the CAS score,the total score and item-scores of PAC-QOL,as well as the TCM syndrome score in the thread-embedding groupwere lower than those in the Chinese patent medication group(P<0.05).The total effective rate was 78.9%(30/38)in the thread-embedding group,which was higher than 56.4%(22/39)in the Chinese patent medication group(P<0.05).Conclusion Thread-embedding at the combined lower he-sea and front-mu points can effectively treat functional constipation with intestinal excess heat and improve quality of life. 展开更多
关键词 lower he sea functional constipation intestinal excess heat front mu points randomized controlled trial chinese patent medication group thread embedding clinical efficacy
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基于3DGP-PointRCNN的道路场景三维点云小目标检测
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作者 李洪涛 徐平平 +2 位作者 甘鹏明 孙士阳 张文兴 《现代电子技术》 北大核心 2026年第5期193-198,共6页
在自动驾驶场景中,检测远距离目标和小目标(如行人和骑行者)时,因其尺寸较小、形状复杂和点云稀疏,检测难度显著增加。为此,文中提出一种改进的三维目标检测方法(3DGP-PointRCNN)。该方法基于PointRCNN,首先,在特征提取阶段引入全局分... 在自动驾驶场景中,检测远距离目标和小目标(如行人和骑行者)时,因其尺寸较小、形状复杂和点云稀疏,检测难度显著增加。为此,文中提出一种改进的三维目标检测方法(3DGP-PointRCNN)。该方法基于PointRCNN,首先,在特征提取阶段引入全局分组坐标注意力(GGCA)模块,结合全局上下文信息和局部特征,通过加权融合的方式减少无关点的影响,提升网络对关键目标区域的关注能力;其次,基于PnP3D重新构建网络架构,通过K近邻搜索与全局双线性正则化方法,对点云局部邻域特征与全局特征进行深度融合,增强网络对目标形状和位置的精细建模能力;最后,基于KITTI数据集进行了实验对比。实验结果表明,改进后的网络模型相比基准网络,在困难级别下行人和骑行者的检测精度分别提升了1.83%和4.17%,汽车的检测精度提升了0.46%,特别是在小目标的检测精度上,所提方法的性能得到显著提升。 展开更多
关键词 三维目标检测 点云 pointRCNN 注意力机制 小目标检测 PnP3D
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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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Exceptional point-induced knot structure transformations in non-Abelian braids
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作者 Lin-Sheng Bao Jia-Yun Ning +5 位作者 Ao-Qian Shi Peng Peng Zhen-Nan Wang Chao Peng Shuang-Chun Wen Jian-Jun Liu 《Chinese Physics B》 2026年第1期212-217,共6页
The strong connection between braids and knots provides valuable insights into studying the topological state and phase classification of various physical systems.The phenomenon of non-Hermitian(NH)two-and three-band ... The strong connection between braids and knots provides valuable insights into studying the topological state and phase classification of various physical systems.The phenomenon of non-Hermitian(NH)two-and three-band braiding has received widespread attention.However,a systematic exploration and visualization of non-Abelian braiding and the associated knot transformations in four-band systems remains unexplored.Here,we propose a theoretical model of NH four-band braiding,provide its phase diagram,and establish its trivial,Abelian,and non-Abelian braiding rules.Additionally,we report on special knots,such as the Hopf and Solomon links in braided knots,and reveal that their transformations are accompanied by and mediated through exceptional points.Our work provides a detailed case for studying NH multiband braiding and knot structures in four-band systems,which could offer insights for topological photonics and analog information processing applications. 展开更多
关键词 exceptional point knot structures phase transitions non-Abelian braids
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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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Federated Dynamic Aggregation Selection Strategy-Based Multi-Receptive Field Fusion Classification Framework for Point Cloud Classification
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作者 Yuchao Hou Biaobiao Bai +3 位作者 Shuai Zhao Yue Wang Jie Wang Zijian Li 《Computers, Materials & Continua》 2026年第2期1889-1918,共30页
Recently,large-scale deep learning models have been increasingly adopted for point cloud classification.However,thesemethods typically require collecting extensive datasets frommultiple clients,which may lead to priva... Recently,large-scale deep learning models have been increasingly adopted for point cloud classification.However,thesemethods typically require collecting extensive datasets frommultiple clients,which may lead to privacy leaks.Federated learning provides an effective solution to data leakage by eliminating the need for data transmission,relying instead on the exchange of model parameters.However,the uneven distribution of client data can still affect the model’s ability to generalize effectively.To address these challenges,we propose a new framework for point cloud classification called Federated Dynamic Aggregation Selection Strategy-based Multi-Receptive Field Fusion Classification Framework(FDASS-MRFCF).Specifically,we tackle these challenges with two key innovations:(1)During the client local training phase,we propose a Multi-Receptive Field Fusion Classification Model(MRFCM),which captures local and global structures in point cloud data through dynamic convolution and multi-scale feature fusion,enhancing the robustness of point cloud classification.(2)In the server aggregation phase,we introduce a Federated Dynamic Aggregation Selection Strategy(FDASS),which employs a hybrid strategy to average client model parameters,skip aggregation,or reallocate local models to different clients,thereby balancing global consistency and local diversity.We evaluate our framework using the ModelNet40 and ShapeNetPart benchmarks,demonstrating its effectiveness.The proposed method is expected to significantly advance the field of point cloud classification in a secure environment. 展开更多
关键词 point cloud classification federated learning multi-receptive field fusion dynamic aggregation
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Exploring the mechanism of myofascial trigger points deactivation by Tuina via the TGF-β1/Smad3 signaling pathway
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作者 Liya Tang Xiaowei Liu +4 位作者 Jiadong Zang Yuqiao Zhang Xiang Feng Wu Li Jiangshan Li 《Digital Chinese Medicine》 2026年第1期103-113,共11页
Objective To investigate whether Tuina alleviates fibrotic symptoms in myofascial trigger points(MTrPs)by regulating transforming growth factor(TGF)-β1/Smad3 signaling pathway,thereby deactivating these points.Method... Objective To investigate whether Tuina alleviates fibrotic symptoms in myofascial trigger points(MTrPs)by regulating transforming growth factor(TGF)-β1/Smad3 signaling pathway,thereby deactivating these points.Methods This study comprised two experimental phases.In phase 1,27 specific pathogenfree(SPF)grade female Sprague-Dawley(SD)rats were randomized into three groups:control 1,model 1,and Tuina 1 groups.Model 1 and Tuina 1 groups underwent an 8-week MTrPs modeling protocol involving blunt impact and eccentric exercise.After successful modeling,rats in Tuina 1 group received manual pressing on nodules or cord-like taut bands on the medial aspect of the left hindlimb.Pain sensitivity and tissue stiffness were evaluated via pressure pain threshold(PPT)and soft tissue tension(STT).Muscle histopathology and fibrosis were observed using hematoxylin and eosin(HE)and Masson staining.Inflammatory factors in muscle were measured by enzyme-linked immunosorbent assay(ELISA),while immunofluorescence(IF)and Western blot(WB)were used to detect the expression levels ofα-smooth muscle actin(α-SMA),collagenⅢ,and TGF-β1.In phase 2,45 SPF female SD rats were randomized into five groups:control 2,model 2,Tuina 2,TGF-β1 inhibitor(TI),and Tuina+TGF-β1 agonist(Tuina+TA)groups.All groups except control 2 underwent standardized MTrPs modeling.Rats in Tuina 2 group received consistent pressing manipulation.TI group received intraperitoneal injections of oxymatrine,while Tuina+TA group received intraperitoneal injections of SRI-011381 hydrochloride followed by the same pressing protocol as Tuina 2 group.WB was used to detect the expression of collagen I,collagen III,TGF-β1,and phosphorylated-Smad3(p-Smad3)/Smad3.Results In phase 1,Tuina significantly improved PPT and STT in MTrPs of rats(P<0.01),reversed pathological damages including disorganized muscle fiber arrangement,abnormal myocyte morphology,and exacerbated fibrosis.In addition,in MTrPs of rats in model 1 group,expression levels of nuclear factor kappa-light-chain-enhancer of activated B cells(NF-κB),interleukin(IL)-1β,IL-6,tumor necrosis factor(TNF)-α,and fibrosis markers(α-SMA,collagen I,and collagen III)were upregulated,and all exhibited a significant downward trend after Tuina intervention(P<0.05 or P<0.01).This indicates that the therapeutic effects of Tuina are directly associated with reduced local inflammation and fibrosis in MTrPs.In phase 2,compared with model 2 group,rats in TI and Tuina 2 groups had decreased expression levels of TGF-β1 and p-Smad3/Smad3 in MTrPs,alongside reduced levels of inflammatory factors(IL-1β,IL-6,NF-κB,and TNF-α)and fibrosis markers(α-SMA,collagen I,and collagen III)(P<0.05 or P<0.01).When co-administered with TGF-β1 agonist,the therapeutic effects of Tuina were significantly attenuated,with rebounded TGF-β1 expression and p-Smad3/Smad3 in local MTrPs,and fibrosis and inflammatory responses were re-exacerbated(P<0.05 or P<0.01).Conclusion Tuina can effectively reduce inflammatory responses and fibrosis in MTrPs tissue,and its mechanism is closely related to the inhibition of the TGF-β1/Smad3 signaling pathway,which plays a critical role in Tuina-mediated regulation of MTrPs fibrosis. 展开更多
关键词 TUINA PRESSING Inflammation Myofascial trigger points FIBROSIS TGF-Β1 p-Smad3
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An enhanced segmentation method for 3D point cloud of tunnel support system using PointNet++t and coverage-voted strategy algorithms
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作者 Wenju Liu Fuqiang Gao +4 位作者 Shuangyong Dong Xiaoqing Wang Shuwen Cao Wanjie Wang Xiaomin Liu 《Journal of Rock Mechanics and Geotechnical Engineering》 2026年第2期1653-1660,共8页
3D laser scanning technology is widely used in underground openings for high-precision,rapid,and nondestructive structural evaluations.Segmenting large 3D point cloud datasets,particularly in coal mine roadways with m... 3D laser scanning technology is widely used in underground openings for high-precision,rapid,and nondestructive structural evaluations.Segmenting large 3D point cloud datasets,particularly in coal mine roadways with multi-scale targets,remains challenging.This paper proposes an enhanced segmentation method integrating improved PointNet++with a coverage-voted strategy.The coverage-voted strategy reduces data while preserving multi-scale target topology.The segmentation is achieved using an enhanced PointNet++algorithm with a normalization preprocessing head,resulting in a 94%accuracy for common supporting components.Ablation experiments show that the preprocessing head and coverage strategies increase segmentation accuracy by 20%and 2%,respectively,and improve Intersection over Union(IoU)for bearing plate segmentation by 58%and 20%.The accuracy of the current pretraining segmentation model may be affected by variations in surface support components,but it can be readily enhanced through re-optimization with additional labeled point cloud data.This proposed method,combined with a previously developed machine learning model that links rock bolt load and the deformation field of its bearing plate,provides a robust technique for simultaneously measuring the load of multiple rock bolts in a single laser scan. 展开更多
关键词 point cloud segmentation Improved pointNet++ Tunnel laser scanning Rock bolt automatic recognition
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Characteristics of carbon emission point sources and industry analysis in the Guangdong-Hong Kong-Macao Greater Bay Area
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作者 Ying Teng Jiajie Li +10 位作者 Yiqi Chen Meiyu Guo Tian Gao Ji Kong Yuze Wang Pengfei Wang Jinlong Zhu Songbai Han Senyou An Jianbo Zhu Heping Xie 《Energy Geoscience》 2026年第1期179-194,共16页
Carbon Capture,Utilization,and Storage(CCUS)technology has gained widespread attention in recent years as a critical strategy to combat global climate change,particularly in achieving carbon neutrality goals.The Guang... Carbon Capture,Utilization,and Storage(CCUS)technology has gained widespread attention in recent years as a critical strategy to combat global climate change,particularly in achieving carbon neutrality goals.The Guangdong-Hong Kong-Macao Greater Bay Area(GBA),as one of China's most economically active regions,serves as a key engine for economic growth while also facing considerable carbon emission challenges.This study analyzes the industrial emission volume and geographical distribution of key emitting enterprises in the GBA,summarizes their technological processes and main carbonemitting equipment,and provides scientific support for precise mitigation policies and low-carbon development.Based on data from 176 key emitting enterprises,the study reveals that Guangzhou and Dongguan host the largest number of such enterprises.Carbon emissions are primarily concentrated in the power sector,dominated by coal-and gas-fired power units,characterized by significant spatial dispersion and uneven distribution.Beyond the power sector,the paper industry has a high number of enterprises but lower emissions.Key facilities such as boilers,cogeneration systems,and production lines are predominantly located near tributaries rivers in Dongguan and Jiangmen.The building materials sector,primarily cement production,ranks as the second-largest emitter,with hightemperature kilns and grinding equipment,particularly rotary kilns and glass furnaces,as the main sources.The petrochemical and chemical sectors have fewer enterprises and lower emissions in the GBA,mainly located in suburban industrial clusters.Carbon emissions in the GBA exhibit distinct industry concentration and geographical distribution disparities.This study provides crucial data and theoretical insights for the development of targeted emission reduction strategies,optimization of source-sink matching,and the advancement of CCUS technologies in the region,particularly from the GBA to the northern South China Sea. 展开更多
关键词 Greater Bay Area Key emitting enterprise Carbon emission point source Source-sink matching CCUS
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Advancing Plasmodium vivax malaria treatment in India:The vital role of glucose 6-phosphate dehydrogenase point-of-care tests
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作者 Nitika Nitika Praveen Kumar Bharti 《Asian Pacific Journal of Tropical Medicine》 2026年第2期49-50,共2页
For India to achieve elimination by 2030,the challenges posed by Plasmodium(P.)vivax cannot be overlooked owing to its burden and unique biology.In 2023,in India,about 224000 malaria cases were reported,and a signific... For India to achieve elimination by 2030,the challenges posed by Plasmodium(P.)vivax cannot be overlooked owing to its burden and unique biology.In 2023,in India,about 224000 malaria cases were reported,and a significant proportion(40%)were P.vivax cases.In P.vivax infection,the persistence of dormant liver stage of parasite,i.e.,hypnozoites,leading to relapses weeks or months later poses challenge in its elimination. 展开更多
关键词 plasmodium vivax elimination hypnozoites RELAPSES point care tests malaria treatment glucose phosphate dehydrogenase dormant liver stage
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An intelligent segmentation method for leakage points in central serous chorioretinopathy based on fluorescein angiography images
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作者 Jian-Guo Xu Yong-Chi Liu +4 位作者 Fen Zhou Jian-Xin Shen Zhi-Peng Yan Xin-Ya Hu Wei-Hua Yang 《International Journal of Ophthalmology(English edition)》 2026年第3期421-433,共13页
AIM:To construct an intelligent segmentation scheme for precise localization of central serous chorioretinopathy(CSC)leakage points,thereby enabling ophthalmologists to deliver accurate laser treatment without navigat... AIM:To construct an intelligent segmentation scheme for precise localization of central serous chorioretinopathy(CSC)leakage points,thereby enabling ophthalmologists to deliver accurate laser treatment without navigational laser equipment.METHODS:A dataset with dual labels(point-level and pixel-level)was first established based on fundus fluorescein angiography(FFA)images of CSC and subsequently divided into training(102 images),validation(40 images),and test(40 images)datasets.An intelligent segmentation method was then developed,based on the You Only Look Once version 8 Pose Estimation(YOLOv8-Pose)model and segment anything model(SAM),to segment CSC leakage points.Next,the YOLOv8-Pose model was trained for 200 epochs,and the best-performing model was selected to form the optimal combination with SAM.Additionally,the classic five types of U-Net series models[i.e.,U-Net,recurrent residual U-Net(R2U-Net),attention U-Net(AttU-Net),recurrent residual attention U-Net(R2AttUNet),and nested U-Net(UNet^(++))]were initialized with three random seeds and trained for 200 epochs,resulting in a total of 15 baseline models for comparison.Finally,based on the metrics including Dice similarity coefficient(DICE),intersection over union(IoU),precision,recall,precisionrecall(PR)curve,and receiver operating characteristic(ROC)curve,the proposed method was compared with baseline models through quantitative and qualitative experiments for leakage point segmentation,thereby demonstrating its effectiveness.RESULTS:With the increase of training epochs,the mAP50-95,Recall,and precision of the YOLOv8-Pose model showed a significant increase and tended to stabilize,and it achieved a preliminary localization success rate of 90%(i.e.,36 images)for CSC leakage points in 40 test images.Using manually expert-annotated pixel-level labels as the ground truth,the proposed method achieved outcomes with a DICE of 57.13%,an IoU of 45.31%,a precision of 45.91%,a recall of 93.57%,an area under the PR curve(AUC-PR)of 0.78 and an area under the ROC curve(AUC-ROC)of 0.97,which enables more accurate segmentation of CSC leakage points.CONCLUSION:By combining the precise localization capability of the YOLOv8-Pose model with the robust and flexible segmentation ability of SAM,the proposed method not only demonstrates the effectiveness of the YOLOv8-Pose model in detecting keypoint coordinates of CSC leakage points from the perspective of application innovation but also establishes a novel approach for accurate segmentation of CSC leakage points through the“detect-then-segment”strategy,thereby providing a potential auxiliary means for the automatic and precise realtime localization of leakage points during traditional laser photocoagulation for CSC. 展开更多
关键词 You Only Look Once version 8 Pose Estimation segment anything model central serous chorioretinopathy leakage point segmentation
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Point-of-care antigen detection for porcine deltacoronavirus:Colloidal gold and fluorescent immunochromatographic test strips
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作者 Zezhao Cao Junchao Shi +9 位作者 Ruijie Hu Jun Xue Gaili Wang Zi Li Huabo Yu Wei Liu Wenqi He Hualei Wang Haili Zhang Yungang Lan 《Journal of Integrative Agriculture》 2026年第1期394-397,共4页
Highlights By conjugating the same anti-N monoclonal antibody(mAb4-mAb1)with colloidal gold or fluorescent microspheres,this study developed two rapid point-of-care antigen immunochromatographic strips for the detecti... Highlights By conjugating the same anti-N monoclonal antibody(mAb4-mAb1)with colloidal gold or fluorescent microspheres,this study developed two rapid point-of-care antigen immunochromatographic strips for the detection of porcine deltacoronavirus.The fluorescent microsphere-based lateral flow test strip demonstrated a sensitivity of 10^(1.7)TCID_(50)/0.1 mL,which is fourfold higher than that of the colloidal gold-based assay.Porcine deltacoronavirus(PDCoV)is a recently identified enteric coronavirus that causes an acute infectious disease in piglets,leading to diarrhea,vomiting,dehydration,and mortality(Hu et al.2015). 展开更多
关键词 enteric coronavirus point care antigen detection fluorescent microspheresthis immunochromatographic strips porcine deltacoronavirusthe fluorescent immunochromatographic test strips colloidal gold porcine deltacoronavirus
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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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Observation of the effects of back-Shu and front-Mu points combination needling on balance and walking function in patients after stroke and its mechanism
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作者 LIU Yajie LI Liping +1 位作者 ZHONG Congcong LOU Yajie 《Journal of Acupuncture and Tuina Science》 CAS CSCD 2024年第6期462-469,共8页
Objective:To observe the clinical efficacy of back-Shu and front-Mu points combination needling on balance and walking function in patients after stroke and its mechanism.Methods:A total of 79 patients with post-strok... Objective:To observe the clinical efficacy of back-Shu and front-Mu points combination needling on balance and walking function in patients after stroke and its mechanism.Methods:A total of 79 patients with post-stroke balance and walking dysfunction were randomly divided into a control group and an observation group.Both groups received conventional treatments such as dietary guidance and oral medications as well as rehabilitation training.On this basis,the control group was treated with additional conventional acupuncture,and the observation group was treated with additional back-Shu and front-Mu points combination needling.Both groups were treated for 4 consecutive weeks.The thickness of abdominal muscle group(transverse abdominal muscle,rectus abdominis,obliquus internus abdominis,and obliquus externus abdominis),the scores of Berg balance scale(BBS),Fugl-Meyer assessment(FMA),and functional ambulation categories(FAC),and walking velocity and stride were compared between the two groups.Results:During the trial,there was 1 dropout case in the control group and 4 dropout cases in the observation group.Before treatment,there were no statistical differences in the abdominal muscle group thickness,scores of BBS,FMA,and FAC,and walking velocity and stride between the two groups(P>0.05).After 4 weeks of treatment,the thickness of abdominal muscle groups,scores of BBS,FMA,and FAC,and walking velocity and stride in both groups were improved(P<0.01),and the observation group was superior to the control group(P<0.05).Conclusion:Both conventional acupuncture and back-Shu and front-Mu points combination needling are conducive to the improvement of balance and walking function in patients after stroke.The back-Shu and front-Mu points combination needling method has better curative efficacy.Strengthening the core muscle group strength may be one of the mechanisms of back-Shu and front-Mu points combination needling treatment. 展开更多
关键词 Acupuncture Therapy Back-Shu and front-mu points Combination Poststroke Syndrome Postural Balance WALKING Muscle Strength Randomized Controlled Trial
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