Petrochemical eigenvalues and diagrams for the identification of metamorphic rocks'protolith,taking the host rocks of Dashuigou tellurium deposit in China as an example

The Dashuigou tellurium deposit is the world’s only known independent tellurium deposit.By restoring metamorphic rocks’protolith,we seek to understand not only the development and evolution trajectory of the region but also the origin of the relevant deposits.While there are many ways to restore metamorphic rocks’protolith,we take the host metamorphic rocks of Dashuigou tellurium deposit and leverage various petrochemical eigenvalues and related diagrams previously proposed to reveal the deposit’s host metamorphic rocks’protolith.The petrochemical eigenvalues include molecular number,Niggli’s value,REE parity ratio,CaO/Al_(2)O_(3)ratio,Fe^(3+) /(Fe^(3+) -+Fe^(2+) )ratio,chondrite-normalized REE value,logarithmic REE value,various REE eigenvalues including scandium,Eu/Sm ratio,total REE amount,light and heavy REEs,δEu,Eu anomaly,Sm/Nd ratio,and silicon isotope δ^(30) SiNBS-29‰,etc.The petrochemical plots include ACMs,100 mg-c-(al+alk),SiO_(2)-(Na_(2)O+K_(2)O),(al+fm)-(c+alk)versus Si,FeO+Fe_(2)O^(3+) TiO)-Al_(2)O_(3)-MgO,c-mg,Al_(2)O_(3)-(Na_(2)O+K_(2)O),chondrite-normalized REE model,La/Yb-REE,and Sm/Nd ratio,etc.On the basis of these comprehensive analyses,the following conclusions are drawn,starting from the many mantle-derived types of basalt developed in the study area of different geological ages,combined with the previously published research results on the deposit s fluid inclusions and sulfur and lead isotopes.The deposit is formed by mantle degassing in the form of a mantle plume in the late Yanshanian orogeny.The degassed fluids are rich in nano-sc ale substances including Fe,Te,S,As,Bi,Au,Se,H_(2),CO_(2),N_(2),H_(2)O,and CH_(4),which are enriched by nano-effect,and then rise to a certain part of the crust in the form of mantle plume along the lithospheric fault to form the deposit.The ultimate power for tellurium mineralization was from H_(2)flow with high energy,which was produced through radiation from the melted iron of the Earth’s outer core.The H,flow results in the Earth’s degassing,as well as the mantle and crust’s uplift.

Solving Algebraic Problems with Geometry Diagrams Using Syntax-Semantics Diagram Understanding

Solving Algebraic Problems with Geometry Diagrams(APGDs)poses a significant challenge in artificial intelligence due to the complex and diverse geometric relations among geometric objects.Problems typically involve both textual descriptions and geometry diagrams,requiring a joint understanding of these modalities.Although considerable progress has been made in solving math word problems,research on solving APGDs still cannot discover implicit geometry knowledge for solving APGDs,which limits their ability to effectively solve problems.In this study,a systematic and modular three-phase scheme is proposed to design an algorithm for solving APGDs that involve textual and diagrammatic information.The three-phase scheme begins with the application of the statetransformer paradigm,modeling the problem-solving process and effectively representing the intermediate states and transformations during the process.Next,a generalized APGD-solving approach is introduced to effectively extract geometric knowledge from the problem’s textual descriptions and diagrams.Finally,a specific algorithm is designed focusing on diagram understanding,which utilizes the vectorized syntax-semantics model to extract basic geometric relations from the diagram.A method for generating derived relations,which are essential for solving APGDs,is also introduced.Experiments on real-world datasets,including geometry calculation problems and shaded area problems,demonstrate that the proposed diagram understanding method significantly improves problem-solving accuracy compared to methods relying solely on simple diagram parsing.

Prediction and Verifcation of Forming Limit Diagrams Based on a Modifed Shear Failure Criterion

The forming limit diagram plays an important role in predicting the forming limit of sheet metals.Previous studies have shown that,the method to construct the forming limit diagram based on instability theory of the original shear failure criterion is efective and simple.The original shear instability criterion can accurately predict the left area of the forming limit diagram but not the right area.In this study,in order to improve the accuracy of the original shear failure criterion,a modifed shear failure criterion was proposed based on in-depth analysis of the original shear failure criterion.The detailed improvement strategies of the shear failure criterion and the complete calculation process are given.Based on the modifed shear failure criterion and diferent constitutive equations,the theoretical forming limit of TRIP780 steel and 5754O aluminum alloy sheet metals are calculated.By comparing the theoretical and experimental results,it is shown that proposed modifed shear failure criterion can predict the right area of forming limit more reasonably than the original shear failure criterion.The efect of the pre-strain and constitutive equation on the forming limits are also analyzed in depth.The modifed shear failure criterion proposed in this study provides an alternative and reliable method to predict forming limit of sheet metals.

A reasoning diagram based method for fault diagnosis of railway point system

Railway Point System(RPS)is an important infrastructure in railway industry and its faults may have significant impacts on the safety and efficiency of train operations.For the fault diagnosis of RPS,most existing methods assume that sufficient samples of each failure mode are available,which may be unrealistic,especially for those modes of low occurrence frequency but with high risk.To address this issue,this work proposes a novel fault diagnosis method that only requires the power signals generated under normal RPS operations in the training stage.Specifically,the failure modes of RPS are distinguished through constructing a reasoning diagram,whose nodes are either binary logic problems or those that can be decomposed into the problems of the binary logic.Then,an unsupervised method for the signal segmentation and a fault detection method are combined to make decisions for each binary logic problem.Based on the results of decisions,the diagnostic rules are established to identify the failure modes.Finally,the data collected from multiple real-world RPSs are used for validation and the results demonstrate that the proposed method outperforms the benchmark in identifying the faults of RPSs.

Reliability Analysis of Satellite Turntable System under Multiple Operation Modes Based on Multi-Valued Decision Diagrams

As a payload support system deployed on satellites,the turntable system is often switched among different working modes during the on-orbit operation,which can experience great state changes.In each mode,the missions to be completed are different,consecutive and non-over-lapping,from which the turntable system can be considered to be a phased-mission system(PMS).Reliability analysis for PMS has been widely studied.However,the system mode cycle characteristic has not been taken into account before.In this paper,reliability analysis method of the satellite turntable system is proposed considering its multiple operation modes and mode cycle characteristic.Firstly,the multi-valued decision diagrams(MDD)manipulation rules between two adjacent mission cycles are proposed.On this basis,MDD models for the turntable system in different states are established and the reliability is calculated using the continuous time Markov chains(CTMC)method.Finally,the comparative study is carried out to show the effectiveness of our proposed method.

眩晕患者冷热实验荚形图的结果可靠性分析

目的分析眩晕患者冷热实验荚形图类型,了解冷热实验结果的准确性及可靠性,为前庭系统功能评估提供更准确可靠的依据。方法总结分析眩晕诊疗中心2021年7月至2022年5月528例眩晕患者的冷热实验结果,按照荚形图形态及单侧反应减弱(unilateral weakness,UW)分为荚形图冷热对称组、左右对称组、单值显著异常组、双侧数值减下组以及荚形图形态不能分类组,通过比较不同组别UW的结果,对其进行解释及归纳,来辨识不可靠数据,从而减少不可靠数据对临床诊疗的干扰。结果冷热对称的荚形图(439例)表现为双侧前庭功能对称(273例)及一侧前庭功能减低(166例),同侧耳双温刺激冷热气刺激慢相角速度(SPV)差异无统计学意义(P>0.05);左右侧别对称荚形图(14例)包括双侧前庭功能对称(11例)和一侧减低(13例),同侧耳双温刺激SPV值差异有统计学意义(P<0.05);单值显著异常荚形图(36例)包括一侧前庭功能减低(25例)和双侧前庭功能对称(11例),同侧耳双温刺激SPV值差异有统计学意义(P<0.05);双侧数值减低荚形图(34例)可表现为双侧前庭功能对称(25例)及一侧减低(9例),同侧耳双温刺激SPV差异无统计学意义(P>0.05);荚形图形态不能分类(5例)提示干扰因素较多。结论冷热实验显示双耳外周前庭功能对称且正常时,要警惕荚形图中温度效应的存在,需考虑对灌注器的检视及灌注温度的校准;冷热实验提示一侧前庭功能减低时,要注意荚形图中单个数值显著增高或减低的情况,建议重复灌注,仍无改变时,建议重复另一耳此温度下的灌注,甚至重复整个冷热实验;冷热实验荚形图提示双耳外周前庭功能减低时,UW值不能真实反应双侧前庭功能的状态,可改用水灌注重复,并结合病史及其他辅助检查做出正确判断。荚形图的形态结合UW值来综合判断冷热实验的有效性有重要意义。

应力驱动的2.5D梯度各向异性维诺多孔零件轻量化建模方法

为了提高多孔零件的设计自由度、内部力学性能梯度与实际应力分布的匹配度,提出一种应力驱动的2.5D梯度各向异性维诺多孔零件轻量化设计方法。将零件有限元分析结果分解为应力标量场和应力方向场,通过加权随机采样算法将应力标量场映射为零件设计域内的维诺站点分布,实现零件内部力学性能的梯度分布;将应力方向场映射为二维黎曼流形,提出一种基于胞元择优方向生长策略的各向异性维诺图生成算法,生成胞元沿黎曼流形分布的各向异性维诺图。在此基础上,通过偏置算法、调和距离场和拉伸算法生成光滑的梯度各向异性维诺多孔零件。最后,采用有限元分析、三点弯曲实验等方法将所设计的多孔零件和其他多孔零件进行比较分析。实验结果表明,所提出的梯度各向异性维诺多孔零件建模方法能有效提升零件内部力学性能梯度与实际应力分布的匹配度,降低材料消耗,实现轻量化设计。

读《太极图说》对人文医学的意义

宋代新儒家周敦颐改绘了当时流传的“太极图”,并撰著《太极图说》,诠释“太极图”。文章虽然是周敦颐研究易学哲理思想的心得体会,但是蕴含有深刻的宇宙自然科学哲理和广博的人文哲学精神内涵,对于当今医学工作者仍然有重要的启迪意义。

GhostConv轻量级网络设计及故障诊断研究

提出一种GhostConv轻量级网络模型并将其用于故障诊断。GhostConv利用常规卷积生成一小部分特征图,然后在生成的特征图上进行多次特征提取来生成其余特征图,最大程度地节约了常规卷积中生成冗余特征图的成本,减少了模型参数,保证了模型的性能。采用连续小波变换对振动信号进行时频变换生成二维时频图,之后利用设计的GhostConv搭建轻量级网络模型进行故障诊断。采用凯斯西储大学轴承数据集进行验证,并与其他卷积结构网络模型进行参数量、计算量以及识别准确率的对比。实验结果表明,与其他模型相比,所使用的网络模型在参数量和计算量较少的条件下依旧有较高的识别精度,且具有较好的鲁棒性和泛化能力,具有一定的工程应用价值。

我国院前医疗急救标准研究

目的了解我国院前医疗急救标准现状,为推进院前医疗急救标准化、同质化建设提供参考。方法从各标准信息公共服务平台检索我国院前医疗急救相关标准,进行描述性统计分析和词云图分析。结果1975年-2022年我国发布院前医疗急救相关标准57项,标准牵头起草单位40家,参与起草单位307家。院前医疗急救相关标准的重点逐渐由急救车辆、急救设备等转为对伤病员的服务规范、信息化、急救机构建设等。结论我国院前医疗急救相关标准总量较少,内容覆盖面窄,且未形成标准体系。需抓住院前医疗急救发展新机遇,优化院前医疗急救标准框架体系,及时进行标准制修订工作,并持续做好培训、宣贯等。

线上线下双模式教育的应用——以机械电子工程专业必修课《热力学与传热学基础》为例

后疫情时代,为适应教学要求,逐渐衍生出线上线下双模式的教学方式。本文以机械电子工程专业的必修课《热力学与传热学基础》为例介绍了线上线下双模式教育在教学中的应用。首先介绍了《热力学与传热学基础》这门专业必修课的主要授课内容、学习目标和考核标准,其次以理想气体基本热力学过程的p-v图和T-s图为例,说明了双模式教育的应用为教学带来的好处。

基于因果图分析的可解释司法判决预测方法研究

随着人工智能技术的发展和海量司法数据的公开,面向“智慧司法”服务的司法判决预测(legal judgment prediction,LJP)任务受到了学术界和工业界的广泛关注,该任务旨在根据有限的案件事实描述文本来预测案件的罪名、法条和刑期。然而,现有工作缺乏对易混淆司法案件的智能决策的研究,且相关模型通常缺乏可解释性,这会导致模型预测严重依赖领域专家,阻碍LJP在不同法律体系中的应用。为此,提出了一种基于因果图分析的司法判决预测(prediction of legal judgment based on causal graph analysis,CGLJ)方法,首先从非结构化的法律事实描述文本中挖掘要素之间的因果关系,然后采用易混淆罪名聚类的构图方法构建因果图,既考虑了相似事实描述之间的差异,又增强了事实描述和法律法规之间的相互作用,最后将构建好的因果图融入深度神经网络进行联合推理,得到判决预测结果。此外,还对模型预测过程中的因果图推理过程进行了可视化,为判决结果提供了更好的可解释性。在2018中国“法研杯”司法人工智能挑战赛(CAIL2018)司法判决预测数据集上的实验结果表明,该方法相比基线模型取得了更好的效果。

“植物细胞工程”内容梳理及教学设计探索——基于生活实例与领域科研前沿成果

植物细胞工程是植物生物技术领域中应用最广泛、取得多项里程碑式成果的一门技术。根据多年的教学实践,提出了一些教学体验。课程内容建设上,围绕“一个总则、两个方面”展开,给学生总结了一个线索图,使他们更好地理解章节之间的逻辑关系。讲课方式上,根据该课程的特点本着“生活中的植物细胞工程、科研中的植物细胞工程”原则进行讲述,既让学生感到植物细胞的成果就在身边,又通过生物技术领域的最新研究成果,开阔学生的视野,加深对理论的理解,激发学生的学习兴趣。

药物临床试验815例次方案违背的帕累托图分析

目的分析药物临床试验的方案违背情况,找出需重点关注的方案违背,并提出解决方案,以保证药物临床试验质量。方法收集2022年1-12月该院815例次药物临床试验方案违背报告数据,包括类别、例数等。采用Excel2007软件进行数据分析,绘制帕累托图,明确构成方案违背的主要因素。结果815例次药物临床试验中药物漏服/少服/多服、检查漏查、访视超窗是方案违背的主要因素。导致方案违背的责任主体中61.84%(504/815)为受试者,25.64%(209/815)为研究者。结论药物临床试验实施过程中,需重点关注药物服用情况,检查完整性及访视窗问题,加强研究者及受试者培训,规范药物临床试验管理,提高药物临床试验质量。

基于滑窗OPTICS算法和DATA-SSI算法的桥梁模态参数智能化识别

针对现有基于数据驱动的随机子空间(data-driven stochastic subspace identification,DATA-SSI)算法存在的不足,无法实现稳定图中真假模态的智能化筛选,提出了一种新的模态参数智能化识别算法。首先通过引入滑窗技术来实现对输入信号的合理划分,以避免虚假模态和模态遗漏现象的出现;其次通过引入OPTICS(ordering points to identify the clustering structure)密度聚类算法实现稳定图中真实模态的智能化筛选,最后将所提算法运用于某实际大型斜拉桥主梁结构的频率和模态振型识别过程中。结果表明,所提改进算法识别的频率值结果与理论值(MIDAS有限元结果)以及实际值(现场动力特性实测结果)间的误差均在5%以内,且识别的模态振型图与理论模态振型图具有很高的相似性。

基于测试树模型的软件测试能力值优先级排序

为了有效提升软件测试用例排序的执行效率,保障软件运行安全,提出基于UML顺序图的软件测试用例优先级排序方法。根据UML顺序图场景概念,通过遍历顺序图中的时间序列获取全部场景,得到与之对应的场景测试树模型。设置约束条件,根据场景环境条件形成软件测试用例。计算各个软件测试用例的迁移重要度,通过反馈机制动态调整软件测试用例的总测试能力值,根据测试能力值展开优先级排序。实验结果表明,采用所提方法可以全面提升软件测试用例缺陷检测率,确保在最短的时间内获取最优的排序结果。

基于特征图像组合与改进ResNet-18的电能质量扰动识别方法

针对传统电能质量扰动(power quality disturbance,PQD)识别体系中单一图像特征信息受限与算法识别能力不足等问题,依据特征融合的思想,提出一种基于特征图像组合与改进ResNet-18的PQD识别方法。首先,对PQD信号进行变分模态分解(variational mode decomposition,VMD)得到一系列固有模态函数(intrinsic mode functions,IMFs)与残差分量;其次,将IMFs、残差分量、原始扰动信号与Subtract分量纵向拼接成分量矩阵,利用信号-图像转化方法生成特征分量彩色图;再次,对原始扰动信号进行连续小波变换(continuous wavelet transform,CWT)生成小波时-频图;最后,将特征分量彩色图与小波时-频图组合输入改进的六通道ResNet-18中训练学习并完成扰动识别。通过仿真对PQD识别方法进行分析并将其与目前常用识别体系进行比较。结果表明,所提方法具有较好的抗噪性能并且能够更好地提取PQD特征信息,达到更高的识别准确率。

精细化管理法减少中药注射剂不合理配伍的效果分析

目的:评价精细化管理法减少中药注射剂不合理配伍的效果。方法:通过鱼骨图分析可能影响中药注射剂不合理配伍的因素,针对关键问题实施精细化管理,调查精细化管理干预前(2021年7—12月)、干预后(2022年7—12月)该院中药注射剂医嘱,对不合理配伍医嘱进行统计分析,对比干预前后中药注射剂医嘱配伍不合理率,探讨干预措施的有效性。结果:干预前,25453组中药注射剂医嘱中,不合理配伍医嘱2366组,中药注射剂医嘱配伍不合理率为9.30%;干预后,28466组中药注射剂医嘱中,不合理配伍医嘱855组,中药注射剂医嘱配伍不合理率为3.00%,不合理率较干预前降低67.74%。干预后,中药注射剂医嘱中溶剂剂量不适宜、违反“十九畏”原则和溶剂种类选择不当问题大幅减少,未冲管和中西药混合输注问题已基本不存在。表明精细化管理模式能够有效改善中药注射剂医嘱不合理配伍情况。结论:通过鱼骨图分析可能影响中药注射剂不合理配伍的因素,针对关键问题实施精细化管理,可有效减少中药注射剂的不合理配伍现象,为其他医院中药注射剂的合理应用提供了参考。

基于Roe-Siegmund循环内聚力模型焊趾疲劳裂纹萌生仿真

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