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Distribution of oxide inclusions in H13 castings under super-gravity field with multi-stage rotation speeds

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Journal of Iron and Steel Research International 2024年第1期31卷 121-133页

作者： Shao-ying Li xiao-jun xi xing-ming Zhao Han-jie Guo Jing Guo School of Metallurgical and Ecological Engineering University of Science and Technology Beijing(USTB)Beijing100083China Beijing Key Laboratory of Special Melting and Preparation of High-End Metal Materials Beijing100083China Beijing Beiye Functional Materials Corporation Beijing100192China Shandong Tianwu Forming Technology Co. Ltd.Liaocheng252024ShandongChina

The 42 kg industrial H13 castings were prepared by different super-gravity fields with multi-rotation speeds,and the distribution of oxide inclusions in the castings was *** addition,the inward movement Reynolds number and inward movement time of oxide inclusions as well as the solidification time of molten steel at different positions in the castings were calculated to clarify the removal mechanism of oxide inclusions in super-gravity *** results show that the large size(i.e.,greater than 10μm)oxide inclusions are mainly concentrated in the inner and outer parts of the super-gravity castings with constant rotation speed(500 r min^(-1))and five-stage rotation speeds(500,600,750,850,and 950 r min^(-1)),respectively,while there are no large oxide inclusions in the super-gravity castings with three-stage rotation speeds(500,600,and 750 r min^(-1)).Although an increase in the particle size of inclusion and the rotation speed in super-gravity field is conducive to the increase in the inward movement Reynolds number of oxide inclusions and reduction in the inward movement time of oxide inclusions,it will reduce the local solidification time of molten *** the range of the rotation speed studied,the super-gravity field with three-stage rotation speeds has the best effect on the removal of inclusions in H13 molten steel.

关键词： Distribution Oxide inclusion H13 casting Super-gravity field Rotation speed

Facile synthesis of W-Mo bimetallic oxides with high adsorption properties from secondary resources

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Tungsten 2024年第4期6卷 806-820页

作者： Jia-Li Cheng Yang-Si Liu xiao-Li xi Zuo-Ren Nie Collaborative Innovation Center of Capital Resource-Recycling Material Technology College of Materials Science and Engineering Beijing University of Technology National Engineering Laboratory for Industrial Big-Data Application Technology Beijing University of Technology Key Laboratory of Advanced Functional Materials Ministry of Education Beijing University of Technology

A simple solvothermal method was used to obtain W-Mo bimetallic oxides from W-Mo alloy scrap,and pure metal powders were also used as the raw materials to simulate *** products had a sea urchin-like structure with abundant oxygen vacancies and the products prepared at low temperatures forms a sosoloid resembling orthorhombic *** WMo bimetallic oxide prepared at the reaction temperature of 120 ℃ exhibited excellent selective adsorption performance for methylene blue（MB）,which the adsorption rate of MB reached 99% in 12 min and the adsorption rate reached 90% after6 adsorption *** the W-Mo molar ratio is 1:3,the maximum adsorption capacity of sample for MB can reach1148 mg·*** adsorption process followed the Langmuir and pseudo-second-order models,which is surface-controlled monolayer *** experimental results show the feasibility of preparing W-Mo bimetal oxide products from pure materials and *** process is simple and effective,which offered a potential approach for secondary resource recycling and reusing.

关键词： Oxygen vacancy Selective adsorption Solvothermal W–Mo alloy scrap W–Mo bimetallic oxide

Sensing properties and mechanisms of LaF_(3)-Co_(3)O_(4) nanorods for low-concentration methanol detection

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Rare Metals 2024年第5期43卷 2193-2204页

作者： xiao-xi He Hong-Feng Chai Yi-Wen Zhou Ke-Wei Liu Ze-xin Yu Chao Zhang College of Mechanical Engineering Yangzhou UniversityYangzhou225127China Institutefor Manufacturing Technologies of Ceramic Components and Composites(IMTCCC) University of Stuttgart70569 StuttgartGermany

Methanol is one of the characteristic gases that distinguish between healthy individuals and lung cancer(LC)lesions in exhaled human *** concentration in exhaled breath is generally below one part per million(1×10^(-6)).The second-phase composite is widely regarded as one of the methods to improve the gas-sensing perfor-mance of metal oxide semiconductor(MOS)*** this study,LaF_(3)-Co_(3)O_(4) was synthesized by a simple hydrothermal method to enhance its low-concentration methanol gas-sensing performance.5 at%LaF_(3)-Co_(3)O_(4) nanorods exhibited excellent methanol detection performance,including a wider linear detection concentration range(0.2×10^(-6)~5×10^(-6)),a response value exceeding 4.0 for 1×10^(-6)methanol at 275°C and 75%relative humidity(RH),long-term stability(maximum deviation within 15%over 2 weeks),and excellent *** mechanism of performance enhancement was studied using various techniques,and density functional *** special spinel structure of Co_(3)O_(4),the high ionic migration of F-in LaF_(3),the larger specific surface area of 5 at%LaF_(3)-Co_(3)O_(4) nanorods,and the generated crystal defects all explain the excellentmethanol gas-sensing *** work provides a novel route to prepare MOS composite materials for low-concentration methanol gas detection.

关键词： Gas sensor LaF_(3) Co_(3)O_(4) Methanol Lung cancer

Gastrointestinal problems in a valproic acid-induced rat model of autism: From maternal intestinal health to offspring intestinal function

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World Journal of Psychiatry 2024年第7期14卷 1095-1105页

作者： Sha Li Nan Zhang Wang Li Han-Lai Zhang xiao-xi Wang Institute of Acupuncture and Moxibustion China Academy of Chinese Medical SciencesBeijing 100000China Institute of Basic Theory for Chinese Medicine China Academy of Chinese Medical SciencesBeijing 100000China

BACKGROUND Autism spectrum disorder(ASD)is a developmental disorder characterized by social deficits and repetitive ***(GI)problems,such as constipation,diarrhea,and inflammatory bowel disease,commonly occur in patients with ***,GI problems of ASD patients were attributed to intestinal inflammation and vertical mother-to-infant microbiome *** To explore whether GI problems in ASD are related to maternal intestinal inflam-mation and gut microbiota *** An ASD rat model was developed using valproic acid(VPA).Enzyme-linked immunosorbent assay and fecal 16S rRNA sequencing were used to test GI *** VPA exposure during pregnancy led to pathological maternal intestinal changes,resulting in alterations in maternal gut ***,the levels of inflammatory factors also ***,prenatal exposure to VPA resulted in impaired duodenal motility in the offspring as well as increased levels of infla-mmatory *** GI problems in ASD may be associated with maternal intestinal inflammation and microbiota *** research is required to find more evidence on the etiology and treatment of GI problems in ASD.

关键词： Autism spectrum disorder Gastrointestinal problems Gut microbiota Intestinal inflammation Intestinal motility

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一种电机直驱操动机构行程曲线规划方法

电机与控制学报 2024年第5期28卷 9-16页

作者：王潇吴旭升肖曦海军工程大学电气工程学院湖北武汉430034 清华大学电机工程与应用电子技术系北京100084

电机直驱操动机构过控制电机按照行程曲线运行,直接驱动高压开关实现分合闸动作。针对电机直驱操动机构行程曲线缺乏系统性规划方法,无法与机构运行特性相匹配,规划、验证及优化周期长,可移植性差等问题,结合多项式模型与负载特性模型... 详细信息

电机直驱操动机构过控制电机按照行程曲线运行,直接驱动高压开关实现分合闸动作。针对电机直驱操动机构行程曲线缺乏系统性规划方法,无法与机构运行特性相匹配,规划、验证及优化周期长,可移植性差等问题,结合多项式模型与负载特性模型提出一种电机直驱操动机构行程曲线规划方法。根据运动学和动力学分析,建立电机直驱操动机构负载特性数学模型。利用多项式模型生成行程曲线簇,并结合电机直驱操动机构及高压开关特性建立多目标优化算法,筛选出最佳行程曲线。仿真和实验结果表明,所提方案可以实现电机直驱操动机构及高压开关的稳定、可靠运行,与传统的行程曲线规划方法相比,可以实现10.3%的能耗优化,能够进一步提升控制系统整体功率密度。

关键词：高压开关操动机构电机行程曲线曲线规划多项式模型

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Optimal decision-making in relieving global high temperature-related disease burden by data-driven simulation

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Infectious Disease Modelling 2024年第2期9卷 618-633页

作者： xin-Chen Li Hao-Ran Qian Yan-Yan Zhang Qi-Yu Zhang Jing-Shu Liu Hong-Yu Lai Wei-Guo Zheng Jian Sun Bo Fu xiao-Nong Zhou xiao-xi Zhang School of Global Health Chinese Center for Tropical Diseases ResearchShanghai Jiao Tong University School of MedicineShanghaiPeople's Republic of China Institute of One Health Shanghai Jiao Tong UniversityShanghaiPeople's Republic of China School of Public Health Shanghai Jiao Tong University School of MedicineShanghaiPeople's Republic of China School of Data Science Fudan UniversityShanghaiPeople's Republic of China

The rapid acceleration of global warming has led to an increased burden of high temperature-related diseases(HTDs),highlighting the need for advanced evidence-based management *** have developed a conceptual framework aimed at alleviating the global burden of HTDs,grounded in the One Health *** framework refines the impact pathway and establishes systematic data-driven models to inform the adoption of evidence-based decision-making,tailored to distinct *** collected extensive national-level data from authoritative public databases for the years 2010–*** burdens of five categories of disease causes–cardiovascular diseases,infectious respiratory diseases,injuries,metabolic diseases,and non-infectious respiratory diseases–were designated as intermediate outcome *** cumulative burden of these five categories,referred to as the total HTD burden,was the final outcome *** evaluated the predictive performance of eight models and subsequently introduced twelve intervention measures,allowing us to explore optimal decision-making strategies and assess their corresponding *** model selection results demonstrated the superior performance of the Graph Neural Network(GNN)model across various *** simulations driven by the GNN model,we identified a set of optimal intervention strategies for reducing disease burden,specifically tailored to the seven major regions:East Asia and Pacific,Europe and Central Asia,Latin America and the Caribbean,Middle East and North Africa,North America,South Asia,and Sub-Saharan *** mitigation and adaptation measures,acting upon our categories of Infrastructure&Community,Ecosystem Resilience,and Health System Capacity,exhibited particularly strong performance for various regions and *** out of twelve interventions were included in the optimal intervention package for each region,including raising low-carbon energy use,increasing energy intensity,improving

关键词： High temperature-related diseases Data-driven simulation Optimal intervention Disease burden Graph neural network Global warming

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卵巢功能异常与妊娠结局相关性及其机制概述

海军军医大学学报 2024年第4期45卷 383-390页

作者：肖茜纪亚忠同济大学附属同济医院生殖医学科上海200065

卵巢功能异常主要包括卵巢功能低下和高反应,是女性不孕不育的重要原因之一。卵巢功能异常女性妊娠结局不良可表现为流产率升高、活产率下降,以及妊娠并发症和新生儿风险增加,其原因与卵子质量下降和母体内环境紊乱等因素有关。本文对... 详细信息

卵巢功能异常主要包括卵巢功能低下和高反应,是女性不孕不育的重要原因之一。卵巢功能异常女性妊娠结局不良可表现为流产率升高、活产率下降,以及妊娠并发症和新生儿风险增加,其原因与卵子质量下降和母体内环境紊乱等因素有关。本文对卵巢功能异常对妊娠结局的影响及其机制进行综述,以期为临床综合诊疗和相关研究提供参考。

关键词：卵巢功能低下卵巢高反应妊娠结局

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并联卷积神经网络的近红外光谱定量分析模型

光谱学与光谱分析 2024年第6期44卷 1627-1635页

作者：于水宦克为刘小溪王磊长春理工大学物理学院吉林长春130022 吉林省科学技术信息研究所吉林长春130033

近红外光谱分析已成为工农业生产过程质量监控领域中不可或缺的重要分析手段之一,在食品、农业、医药等定性定量分析领域被广泛应用。预测精度高、运行速度快、泛化能力强的近红外光谱预测模型可用于不同物质的定性定量分析。但由于近... 详细信息

近红外光谱分析已成为工农业生产过程质量监控领域中不可或缺的重要分析手段之一,在食品、农业、医药等定性定量分析领域被广泛应用。预测精度高、运行速度快、泛化能力强的近红外光谱预测模型可用于不同物质的定性定量分析。但由于近红外光谱数据量的激增,传统的近红外光谱建模方法已经出现明显的不足。随着人工智能技术的不断发展,深度学习算法在近红外光谱分析领域得到了广泛应用。提出了一种基于并联卷积神经网络的近红外光谱定量分析模型(PaBATunNet)。该模型由1个一维卷积层、1个并联卷积模块(Module)、1个展平层、4个全连接层和1个参数调节器(PR)组成,Module模块包括5个子模块分别对光谱数据进行线性及非线性多维特征提取,并通过Concatenate函数将提取后的光谱特征数据进行拼接,PR模块通过调节优化PaBATunNet模型参数,提高模型预测精度。基于Gard-CAM思想给出了PaBATunNet模型高贡献度特征波长,增加了PaBATunNet模型的可解释性。以谷物、柴油、啤酒、牛奶四组公开的近红外光谱数据为例,将PaBATunNet模型的预测结果与偏最小二乘(PLS)、主成分回归(PCR)、支持向量机(SVM)和BP神经网络(BP)模型的预测结果进行比较。结果表明,与PLS相比,PaBATunNet模型在谷物、柴油、啤酒、牛奶数据集的预测精度上分别提高了30.0%、40.7%、43.0%、52.8%;与PCR相比,PaBATunNet模型的预测精度分别提高了28.8%、35.9%、40.8%、52.2%;与SVM相比,PaBATunNet模型的预测精度分别提高了45.5%、37.4%、45.3%、54.7%;与BP相比,PaBATunNet模型的预测精度分别提高了7.9%、32.4%、90.1%、62.0%。基于并联卷积神经网络的近红外光谱建模方法相比于传统建模方法解决了模型预测精度低、运行时间长、泛化能力差以及可解释性不强等问题,可有效应用于工农业生产中不同物质的定量分析,为建立快速、无损、高精度的近红外光谱定量分析模型提供了科学基础。

关键词：近红外光谱深度学习并联卷积神经网络定量分析预测模型

面向波浪发电优化控制的开关磁阻发电机四象限推力分配策略

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电工技术学报 2024年第12期39卷 3670-3678页

作者：林泽川黄宣睿肖曦清华大学电机工程与应用电子技术系北京100084

直线开关磁阻发电机(LSRG)由于其成本低、可靠性高,十分适合直驱式波浪发电的应用场合。为了提升波浪能的捕获效率,波浪发电装置需要采取优化控制策略来主动地改变浮体-波浪间的相互作用,此类策略要求电机在全部四个象限下具备推力指令... 详细信息

直线开关磁阻发电机(LSRG)由于其成本低、可靠性高,十分适合直驱式波浪发电的应用场合。为了提升波浪能的捕获效率,波浪发电装置需要采取优化控制策略来主动地改变浮体-波浪间的相互作用,此类策略要求电机在全部四个象限下具备推力指令跟踪的功能。然而,现有的波浪发电LSRG往往工作在固定开通-关断角的模式下,无法满足这一要求。为此,该文提出一种基于优化推力分配函数的LSRG控制方案,以使电机在四象限下以最小的推力波动实现推力指令跟踪。提出考虑直流电压受限这一约束条件的优化推力分配函数,并进一步讨论其在四象限下的实现方案。搭建LSRG-永磁同步电机对拖实验平台以模拟实际波浪发电工况,在恒定速度、阻尼控制和谐振控制的运行条件下,验证了所提出控制方案的有效性。

关键词：波浪发电直线开关磁阻发电机推力波动抑制