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A method to predict rockburst using temporal trend test and its application

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Journal of Rock Mechanics and Geotechnical Engineering 2024年第3期16卷 909-923页

作者： Yarong Xue Zhenlei Li Dazhao Song Xueqiu He Honglei Wang chao zhou Jianqiang Chen Aleksei Sobolev School of Civil and Resources Engineering University of Science and Technology BeijingBeijing100083China Zhong-an Academy of Safety Engineering Beijing100083China China Energy Group Xinjiang Energy Co. LtdUrumqi830027China Khabarovsk Federal Research Center of the Far Eastern Branch of the Russian Academy of Sciences(KhFRC FEB RAS) 51 Turgenev StreetKhabarovsk680000Russia

Rockbursts have become a significant hazard in underground mining,underscoring the need for a robust early warning model to ensure safety *** study presents a novel approach for rockburst prediction,integrating the Mann-Kendall trend test(MKT)and multi-indices fusion to enable real-time and quantitative assessment of rockburst *** methodology employed in this study involves the development of a comprehensive precursory index library for *** MKT is then applied to analyze the real-time trend of each index,with adherence to rockburst characterization laws serving as the warning *** employing a confusion matrix,the warning effectiveness of each index is assessed,enabling index preference ***,the integrated rockburst hazard index Q is derived through data *** results demonstrate that the proposed model achieves a warning effectiveness of 0.563 for Q,surpassing the performance of any individual ***,the model’s adaptability and scalability are enhanced through periodic updates driven by actual field monitoring data,making it suitable for complex underground working *** providing an efficient and accurate basis for decision-making,the proposed model holds great potential for the prevention and control of *** offers a valuable tool for enhancing safety measures in underground mining operations.

关键词： Rockburst Microseismicity Early warning Mann-Kendall trend test Confusion matrix Multi-indices fusion

Analysis of risk factors of suicidal ideation in adolescent patients with depression and construction of prediction model

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World Journal of Psychiatry 2024年第3期14卷 388-397页

作者： Jun-chao zhou Yan Cao Xu-Yuan Xu Zhen-Ping Xian Department of Psychosomatic Medicine The Affiliated Lianyungang Hospital of Xuzhou Medical UniversityThe First People's Hospital of LianyungangLianyungang 222000Jiangsu ProvinceChina

BACKGROUND Major depressive disorder is a common mental illness among adolescents and is the largest disease burden in this age *** adolescent patients with depression have suicidal ideation(SI);however,few studies have focused on the factors related to SI,and effective predictive models are *** To construct a risk prediction model for SI in adolescent depression and provide a reference assessment tool for *** The data of 150 adolescent patients with depression at the First People's Hospital of Lianyungang from June 2020 to December 2022 were retrospectively *** on whether or not they had SI,they were divided into a SI group(n=91)and a non-SI group(n=59).The general data and laboratory indices of the two groups were *** regression was used to analyze the factors influencing SI in adolescent patients with depression,a nomogram prediction model was constructed based on the analysis results,and internal evaluation was *** operating characteristic and calibration curves were used to evaluate the model’s efficacy,and the clinical application value was evaluated using decision curve analysis(DCA).RESULTS There were differences in trauma history,triggers,serum ferritin levels(SF),highsensitivity C-reactive protein levels(hs-CRP),and high-density lipoprotein(HDLC)levels between the two groups(P<0.05).Logistic regression analysis showed that trauma history,predisposing factors,SF,hs-CRP,and HDL-C were factors influencing SI in adolescent patients with *** area under the curve of the nomogram prediction model was 0.831(95%CI:0.763–0.899),sensitivity was 0.912,and specificity was *** higher net benefit of the DCA and the average absolute error of the calibration curve were 0.043,indicating that the model had a good *** The nomogram prediction model based on trauma history,triggers,ferritin,serum hs-CRP,and HDL-C levels can effectively predict the risk of SI in adolescent patients

关键词： Adolescents Depression Suicidal ideation Risk factors Prediction model Ferritin

Optimizing magnetoelastic properties by machine learning and high-throughput micromagnetic simulation

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Rare Metals 2024年第5期43卷 2251-2262页

作者： Jian-Hu Gong Zheng-Ming Zhang Cheng-Liang Zhang Peng-Qiang Hu chao zhou Dun-Hui Wang Sen Yang Division of Microelectronic Materials and Devices Hangzhou Dianzi UniversityHangzhou 310018China School of Physics MOEKey Laboratory forNonequilibrium Synthesis and Modulation of Condensed Matter and State Key Laboratory for Mechanical Behavior of MaterialsXi'an Jiaotong UniversityXi'an 710049China National Laboratory of Solid State Microstructures Nanjing UniversityNanjing210093China

Magnetoelastic couplings in giant magnetostrictive materials(GMMs)attract significant interests due to their extensive applications in the fields of spintronics and energy harvesting *** the role of the selection of materials and the response to external fields is essential for attaining desired functionality of a ***,machine learning(ML)models are conducted to predict saturation magnetostrictions(λ_(s))in RFe_(2)-type(R=rare earth)GMMs with different *** to ML-predicted composition–λsrelations,it is discovered that the values ofλshigher than1100×10^(-6)are almost situated in the composition space surrounded by 0.26≤x≤0.60 and 1.90≤y≤2.00 for the ternary compounds of Tb_(x)Dy_(1-x)Fe_(y).Assisted by ML predictions,the compositions are further narrowed down to the space surrounded by 0.26≤x≤0.32 and 1.92≤y≤1.97 for the excellent piezomagnetic(PM)performance in the Tb_(x)Dy_(1-x)Fe_(y)based PM device through our developed high-throughput(HTP)micromagnetic simulation(MMS)***,high sensitivities up to10.22-13.61 m T·MPa^(-1)are observed in the optimized range within which the available experimental data fall *** work not only provides valuable insights toward understanding the mechanism of magnetoelastic couplings,but also paves the way for designing and optimizing highperformance magnetostrictive materials and PM sensing devices.

关键词： Magnetostriction Piezomagnetic effect Machine learning Micromagnetic simulation

Leaching behavior and microstructure of phosphorus in converter slag

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Journal of Iron and Steel Research(International) 2024年第7期31卷 1646-1660页

作者： chao-gang zhou Jin-yue Li Qing-gong Chen Yin-ye Yang Wei Gong Li-qun Ai Shu-huan Wang Bei-yue Ma College of Metallurgy and Energy North China University of Science and TechnologyTangshan 063210HebeiChina Key Laboratory for Ferrous Metallurgy and Resources Utilization of Ministry of Education Wuhan University of Science and TechnologyWuhan 430081HubeiChina College of Materials Science and Engineering Guizhou Minzu UniversityGuiyang 550025GuizhouChina School of Materials and Architectural Engineering Guizhou Normal UniversityGuiyang 550025GuizhouChina School of Metallurgy Northeastern UniversityShenyang 110819LiaoningChina

Converter slag is a by-product of the steelmaking process and contains a large amount of Ca,Fe,P and other *** the phosphorus in the converter slag can be effectively extracted,the resulting phosphorus can be used as a phosphate *** in converter slag is mainly enriched in 2CaO·SiO_(2)-3CaO·P_(2)O_(5)(C_(2)S-C_(3)P)solid solution and is easily dissolved in ***,acid leaching method was used to dissolve the solid solution to extract phosphorus in converter slag,so as to realize the recycling of phosphorus resources in converter *** leaching behavior of three actual converter slags from different steel mills in acid leaching solutions composed of citric acid,sodium hydroxide,hydrochloric acid and deionized water was studied by X-ray diffraction,scanning electron microscopy combined with energy dispersive spectrometry,Fourier transform infrared spectroscopy and Raman spectroscopy to reveal the change in object image structure as well as SiO_(4) and PO_(4) tetrahedron before and after acid *** results show that only a small amount of phosphorus in converter slag with too low basicity is enriched in C_(2)S-C_(3)P solid solution,resulting in poor leaching *** the converter slag has a high basicity,the removal effect of phosphorus is 70.64%-81.88%.In addition,when the basicity of converter slag is roughly the same,the dephosphorization effect of slag with high FeO content is relatively *** acid leaching will cause depolymerization behavior of SiO_(4) and PO_(4) tetrahedron,so that the mole fraction of Q0(Si)(asymmetric stretching vibration of Si-O bond in SiO_(4) tetrahedron with bridge oxygen number of 0)and NBO/Si(non-bridging oxygen in silicate tetrahedra)will ***-containing solids can be obtained from the solution after acid leaching through static precipitation,and the solids have the potential to make phosphate fertilizers.

关键词： Dephosphorization converter slag Acid leaching Phosphorus Solid solution Slag structure

基于“Z世代”消费动机的数字社会博物馆文创产品数字营销策略——以安徽博物院文创产品为例

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东南文化 2024年第3期 184-190页

作者：周超中国计量大学艺术与传播学院浙江杭州310018

作为博物馆文创产品的主要消费者,“Z世代”与传统消费者的消费偏好存在差异,“Z世代”对博物馆文创产品的消费动机容易受产品稀缺价值的消费冲动、文创产品的美学吸引、藏品内涵文化的情感共鸣、文创品牌的信任构建、社交网络的品牌形... 详细信息

作为博物馆文创产品的主要消费者,“Z世代”与传统消费者的消费偏好存在差异,“Z世代”对博物馆文创产品的消费动机容易受产品稀缺价值的消费冲动、文创产品的美学吸引、藏品内涵文化的情感共鸣、文创品牌的信任构建、社交网络的品牌形象等因素影响。据安徽博物院文创产品的实际调研情况可得出以下经验:数字社会博物馆文创产品的数字营销可从基于藏品文化的差异化内容创新、基于文创品牌化传播的价值赋能、基于社交媒体的文创感知路径建设等方面进行努力,助力博物馆更好地服务社会公众。

关键词：博物馆文创产品 “Z世代” 消费动机数字营销

Single event effects evaluation on convolution neural network in Xilinx 28 nm system on chip

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Chinese Physics B 2024年第7期33卷 638-644页

作者：赵旭杜雪成熊旭马超杨卫涛郑波周超 School of Nuclear Science and Technology University of South ChinaHengyang 421001China School of Microelectronics Xidian UniversityXi'an 710071China

Convolutional neural networks(CNNs) exhibit excellent performance in the areas of image recognition and object detection, which can enhance the intelligence level of spacecraft. However, in aerospace, energetic particles, such as heavy ions, protons, and alpha particles, can induce single event effects(SEEs) that lead CNNs to malfunction and can significantly impact the reliability of a CNN system. In this paper, the MNIST CNN system was constructed based on a 28 nm systemon-chip(SoC), and then an alpha particle irradiation experiment and fault injection were applied to evaluate the SEE of the CNN system. Various types of soft errors in the CNN system have been detected, and the SEE cross sections have been calculated. Furthermore, the mechanisms behind some soft errors have been explained. This research will provide technical support for the design of radiation-resistant artificial intelligence chips.

关键词： single event effects convolutional neural networks alpha particle system on chip fault injection

Polar codes based OFDM-PLC systems in the presence of impulsive noise

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High Technology Letters 2024年第2期30卷 188-198页

作者：周玉 LI Yue ZHAO Shuangshuang GAO Fan zhou chao MU Zhuowen CHEN Rui Marketing Service Center of State Grid Jiangsu Electric Power Co. LtdNanjing 210000P.R.China College of Information and Communication Engineering Nanjing Institute of TechnologyNanjing 211167P.R.China

Power line communication(PLC)has the potential to become the preferred technique for providing broadband communication to homes and offices with advantage of eliminating the need for new wiring infrastructure and reducing the *** it suffers from the impulsive noise because it introduces significant time variance into the power line *** this paper,a polar codes based orthogonal frequency division multiplexing(OFDM)PLC system is proposed to deal with the impulsive noise and thereby improve the transmission ***,the impulsive noise is modelled with a multi-damped sine function by analyzing the time behavior of impulse *** the polar codes are used to combat the impulsive noise of PLC channel,and a low complexity bit-flipping decoding method based on CRC-aided successive cancellation list(CA-SCL)decoding algorithm is *** evaluate the proposed decoding algorithm and the results validate the suggested polar codes based OFDM-PLC scheme which can improve the BER performance of PLC with impulsive interference.

关键词： orthogonal frequency division multiplexing(OFDM) polar code impulsivenoise power line communication(PLC) bit-flipping

调而不适:政策学习的目标替代机制研究——基于科技创新券政策的案例研究

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公共行政评论 2024年第3期17卷 44-60,196页

作者：钱蕾周超重庆大学公共管理学院中山大学政治与公共事务管理学院

政策调适通过知识整合和政策学习等机制,实现政策对象清晰化、政策工具精准化和政策目标明确化,是对政府治理复杂政策及其执行问题的适应机制。但是,促进民营经济发展的科技创新券政策调适过程,却呈现出目标替代的非预期结果,从而导致... 详细信息

政策调适通过知识整合和政策学习等机制,实现政策对象清晰化、政策工具精准化和政策目标明确化,是对政府治理复杂政策及其执行问题的适应机制。但是,促进民营经济发展的科技创新券政策调适过程,却呈现出目标替代的非预期结果,从而导致调而不适的政策现象。研究区别于现有研究将政策目标替代归因于科层组织中层级关系带来的利益冲突,立足于政策过程理论本身,基于政策学习理论,引入政策知识生产概念,构建政企双向学习合作知识生产路径,分析科技创新券政策过程中目标替代结果的形成机制。研究采用案例分析方法,选择科技创新券政策这一政企互动的典型案例作为研究对象。研究发现,技术创新活动的特性,决定科技创新券政策属于高知识密度和高风险密度耦合的政策类型,政策学习指向新的政策知识生产,形成政企双向学习合作知识生产路径,政策知识生产不足,导致目标替代的消极结果。研究提出政策学习过程中的政企双向学习和知识生产,通过引入企业这一主体的政策学习过程,为政策目标替代的形成机制提供新的解释视角。此外,研究重点关注了高知识密度和高风险密度耦合的技术创新补贴政策,以期为促进民营经济高质量发展的系列政策实践提供参考。

关键词：政策学习知识生产目标替代政策调适科技创新券政策

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中国跨国企业母子公司结构的决策机制研究:基于松散耦合理论视角

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管理工程学报 2024年第2期38卷 21-34页

作者：周超许冠南卢柯颖北京邮电大学经济管理学院北京100876 浙江大学管理学院浙江杭州310058

在资源匮乏和国际化能力不足的情境下,中国跨国企业如何获取和利用全球战略资源以实现能力跃迁,成为学界和业界共同关注的重要议题。在此过程中,海外子公司承担了重要职能,如何协调母子间关系以促进子公司生存与发展是企业跨国管理面临... 详细信息

在资源匮乏和国际化能力不足的情境下,中国跨国企业如何获取和利用全球战略资源以实现能力跃迁,成为学界和业界共同关注的重要议题。在此过程中,海外子公司承担了重要职能,如何协调母子间关系以促进子公司生存与发展是企业跨国管理面临的关键挑战。作为企业内外部资源流动与能力建构的重要实践基础,母子公司结构在现有研究中尚未得到足够探索,且存在不同视角下的冲突结论。本文引入松散耦合理论,尝试为中国跨国企业海外子公司管理战略提供结构视角的解决方案。基于258家中国制造业A股上市企业的587家海外子公司数据,本文采用模糊集定性比较分析方法(fsQCA),从动机、能力、机会角度探讨了母公司国际化程度、子公司投资动机以及东道国技术资源禀赋和制度距离对中国跨国企业母子公司结构选择的共同作用机制,为不同内部组织和外部环境情境下,企业海外子公司管理结构的决策提供了理论参考。

关键词：母子公司结构松散耦合理论中国跨国企业 fsQCA

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