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关键词： CAD   辐射场   蒙特卡罗   非结构网格   粒子输运  

摘要： 介绍了基于直接CAD几何模型的3维辐射场生成技术及其应用情况。在大规模并行非结构网格蒙特卡罗粒子输运方法的基础上,结合在线地图、SolidWorks等直接CAD几何模型,提出了1种适用于电子元器件、复杂厂房几何和大区域城市环境的高效辐射场生成模拟计算方法。并基于该技术实现了安卓设备电路板辐射场、复杂放射源迷道辐射环境和核辐射在百米量级城市环境建筑物区域的数值模拟,获取了全空间的辐射场中子注量率和能量分布信息,验证了该项技术在电子元器件辐照效应、放射源屏蔽设计和核辐射瞬发效应仿真应用中的可行性。

关键词： Spontaneous coronary dissection   Takotsubo syndrome   Pathophysiology of spontaneous coronary dissection   Pathophysiology of takotsubo syndrome   Association of spontaneous coronary dissection and takotsubo syndrome   ACS   acute coronary syndrome   AMI   acute myocardial infarction   cMRI   cardiac magnetic resonance imaging   CAD   coronary artery disease   CANG   coronary angiography   ECG   electrocardiogram   LAD   left anterior descending coronary artery   LGE   late gadolinium enhancement   LV   left ventricle,left ventricular   PCI   percutaneous coronary artery interventions   RWMAs   regional wall motion abnormalities   SCAD   spontaneous coronary artery dissection   TTS   takotsubo syndrome  

摘要： AbstractThere is ample literature revealing an association of SCAD with TTS, while it is not clear whether these 2 pathological entities are mechanistically linked in the sense that the one triggers the other. Considering that physical/emotional stress triggers TTS, it is plausible that stress related to SCAD, could result in the emergence of TTS. Conversely, it has been speculated that the junction between hypercontractile and akinetic/dyskinetic myocardium regions in TTS could lead to a “hinge pivoting point”, imparting vascular disruption in coronary arteries, crossing these abutting myocardial planes, in susceptible individuals, causing SCAD.

关键词： 深度学习   纺织品分类   注意力机制   YOLOv8   分布偏移卷积  

摘要： 为了实现工厂的无人化生产,需要高效地对纺织品进行分类。针对传统纺织品生产厂的人工分类方法存在着效率低下、难以满足大规模生产需求的问题。将人工智能和计算机视觉先进技术应用到纺织品材质分类中,提出了一种基于DSCI-YOLOv8的纺织材质分类算法。在YOLOv8模型原有分类网络的基础上添加坐标信息注意力模块,增强模型对不同尺度纺织品材质特征的提取能力,提高了网络分类的准确率,同时减少了计算所需的一部分计算量和参数量;其次将分布偏移卷积加入到C2f网络模块,改进了分类神经部分的网络结构,从而存储器的使用得到降低,计算速度也得到提高。实验结果表明,在自制的纺织品材质分类数据集FMCD上进行测试,改进后的模型相较于YOLOv8模型准确率提高了2.09个百分点,每秒处理图片数提高13.5%。大幅减少计算成本的同时,有效提高了纺织品材质分类的精度和速度。可以满足纺织工业对产品类别分类和质量的检测需求。

关键词： Auto   CAD、产学融合、教学模式、教学改革  

摘要： 以资源勘查类专业的Auto CAD课程教学为例,探讨如何有效地进行教学管理和完成教学设计,以适应产学融合、培养高质量的技术型人才的需求。通过针对性的课程设计,融入资源勘查类专业的知识点并引导学生运用知识点,能在一定程度上提高学生的学习兴趣,有利于实现以需求为导向的教学目标,使产学互动无缝衔接。

关键词： CAD-RADS   Cardiac CT-scan   CCT   Coronary CT  

摘要： Introduction: CAD-RADS 2.0 is recommended by several scientific societies for reports on coronary-centered cardiac CT-scans. Recent findings: This article will first review the basics of CAD-RADS 2.0 classification and how to use it in practice, including evaluating plaques, stenoses, and overall atheromatous burden. Next, we will examine the scientific rationale that underlies its practical use for imagers and the arguments to convince prescribers to take an interest in and understand it. Conclusion: CAD-RADS classification is useful to improve radiologist/cardiologist communication. © 2024 Société française de radiologie

关键词： 纺织品拉伸性能   预测模型   条样法  

摘要： 纺织品拉伸性能是衡量纺织品品质的重要指标,传统设计依赖破坏性测试,但效率低且受试样精度影响。因此,建立基于纱线拉伸性能的预测模型以优化设计流程、提高效率降低成本成为研究热点。文章遵循《纺织品织物拉伸性能第1部分:断裂强力和断裂伸长率的测定(条样法)》(GB/T3923.1—2013)标准,对纺织品试样进行拉伸测试并评估不确定度,试图从多个维度探讨并进行分析,结合统计数据,总结断裂规律,优化纺织品制作流程。

关键词： 绿色金融   资金流向   三因素模型   纺织品行业   纺织品生产   碳排放交易   可持续发展理念   环境因素  

摘要： 一、前言近年来,随着经济发展与环境保护协调统一的需求日益强烈,绿色金融迅速兴起。绿色金融植根于可持续发展理念,旨在推动资金流向那些以环境保护为核心价值的项目和企业。中国在全球纺织品生产中占据重要地位,并在碳市场中发挥了重要作用。本文聚焦服装和纺织品行业,了解碳排放交易与该行业股票收益的相互作用[1]。通过采用Fama-French三因素模型,并增加碳排放交易作为第四个因素,旨在揭示环境因素对金融资产定价的影响。

关键词： Breast cancer   CAD   machine learning   ROI   segmentation   thermography  

摘要： Breast cancer is one of the major health issues with high mortality rates and a substantial impact on patients and healthcare systems *** Computer-Aided Diagnosis(CAD)tools,based on breast thermograms,have been developed for early detection of this ***,accurately segmenting the Region of Interest(ROI)fromthermograms remains *** paper presents an approach that leverages image acquisition protocol parameters to identify the lateral breast region and estimate its bottomboundary using a second-degree *** proposed method demonstrated high efficacy,achieving an impressive Jaccard coefficient of 86%and a Dice index of 92%when evaluated against manually created ground *** features were extracted from each view’s ROI,with significant features selected via Mutual Information for training Multi-Layer Perceptron(MLP)and K-Nearest Neighbors(KNN)*** findings revealed that the MLP classifier outperformed the KNN,achieving an accuracy of 86%,a specificity of 100%,and an Area Under the Curve(AUC)of *** consistency of the method across both sides of the breast suggests its viability as an auto-segmentation ***,the classification results suggests that lateral views of breast thermograms harbor valuable features that can significantly aid in the early detection of breast cancer.

关键词： 包装机   出灰管   凸轮机构  

摘要： 出灰管是包装机与包装袋的连接纽带,它的结构对物料灌装的过程和结果有很大的影响。不同的物料,不同的现场要求,出灰管体的结构也不同。为了提高公司包装机出灰管体的加工质量,研发出了一款基于传统直动滚子从动件盘形凸轮机构的切割装置,利用此装置生产出灰管体,不仅降低了人工成本,提高了生产效率,还缩短了新产品的研发制造周期。