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Correlation between the rock mass properties and maximum horizontal stress:A case study of overcoring stress measurements

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International Journal of Minerals,Metallurgy and Materials 2025年第1期32卷 39-48页

作者： Peng Li Meifeng cai Shengjun Miao Yuan Li Yu Wang Key Laboratory of Ministry of Education for Efficient Mining and Safety of Metal Mines University of Science and Technology BeijingBeijing 100083China State Key Laboratory of Coal Resources and Safe Mining China University of Mining and TechnologyXuzhou 221116China

Understanding the mechanical properties of the lithologies is crucial to accurately determine the horizontal stress *** investigate the correlation between the rock mass properties and maximum horizontal stress,the three-dimensional(3D)stress tensors at 89 measuring points determined using an improved overcoring technique in nine mines in China were adopted,a newly defined characteristic parameter C_(ERP)was proposed as an indicator for evaluating the structural properties of rock masses,and a fuzzy relation matrix was established using the information distribution *** results indicate that both the vertical stress and horizontal stress exhibit a good linear growth relationship with *** is no remarkable correlation between the elastic modulus,Poisson's ratio and depth,and the distribution of data points is scattered and ***,there is no obvious relationship between the rock quality designation(RQD)and *** maximum horizontal stress σ_(H) is a function of rock properties,showing a certain linear relationship with the C_(ERP)at the same *** addition,the overall change trend of σ_(H) determined by the established fuzzy identification method is to increase with the increase of C_(ERP).The fuzzy identification method also demonstrates a relatively detailed local relationship betweenσ_H and C_(ERP),and the predicted curve rises in a fluctuating way,which is in accord well with the measured stress data.

关键词： overcoring stress measurements elastic modulus Poisson's ratio rock quality designation maximum horizontal stress fuzzy identification

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REFLECTION/TRANSMISSION CHARACTERISTICS OF A DISCONTINUOUS GALERKIN METHOD FOR MAXWELL'S EQUATIONS IN DISPERSIVE INHOMOGENEOUS MEDIA

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Journal of Computational Mathematics 2008年第3期26卷 347-364页

作者： Xia Ji wei cai Pingwen zhang Department of Mathematics and Statistics University of North Carolina at Charlotte USA Department of Scientific and Engineering Computing Peking University Beijing China

In this paper, we analyze the transmission and reflection properties of a high order discontinuous Galerkin method for dispersive Maxwell＇s equations, originally proposed by Lu et al. [J. Comput. Phys. 200 （2004）, pp. 549-580]. We study the reflection and transmission properties of the numerical method for up to second-order polynomial elements for one- and two-dimensional Maxwell＇s equations with rectangular meshes. High order accuracy has been shown for reflection and transmission coefficients near material interfaces.

关键词： Discontinuous Galerkin Method Reflection Transmission

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骶麻复合静脉全身麻醉在小儿隐匿性阴茎延长术的临床麻醉效果

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中国现代医学杂志 2016年第24期26卷 110-113页

作者：蔡靓羽张建楠尹卫娟徐敏逸南京中医药大学无锡附属医院江苏无锡214071

目的探讨骶麻复合静脉全身麻醉在小儿隐匿性阴茎延长术的临床麻醉效果。方法选取近期行小儿隐匿性阴茎延长术52例为研究对象。随机分两组,每组各26例,A组行单纯静脉全身麻醉,B组行骶麻复合静脉全身麻醉,观察两组不同的麻醉效果。结果 B... 详细信息

目的探讨骶麻复合静脉全身麻醉在小儿隐匿性阴茎延长术的临床麻醉效果。方法选取近期行小儿隐匿性阴茎延长术52例为研究对象。随机分两组,每组各26例,A组行单纯静脉全身麻醉,B组行骶麻复合静脉全身麻醉,观察两组不同的麻醉效果。结果 B组麻醉效果较A组满意,B组与A组在进入手术时(T0)、麻醉诱导入睡后(T1)、手术开始时(T2)、手术开始后30 min(T3)、手术结束时(T4)、出手术室时(T5)6个时间点比较,在手术后清醒时间、术中心率、辅助呼吸次数、肢体运动、追加静脉全身麻醉药物等方面进行比较,差异有统计学意义(P0.05)。B组在手术开始时(T2)、手术开始后30 min(T3)、手术结束时(T4)、出手术室时(T5)心率(HR)相对较A组慢且平稳(P0.05);B组手术后苏醒时间(TR)(2.08±2.05)min少于A组(21.31±5.16)min(P<0.05),B组手术中使用全身麻醉药总量(8.23±1.77)ml少于A组(22.0±6.77)ml(P<0.05),B组手术过程中体动次数(TT)(0.77±0.51)少于A组(2.77±0.90)(P<0.05),B组麻醉过程中需辅助呼吸次数(F)(1.46±1.34)少于A组(2.62±1.32)(P<0.05)。结论骶麻复合静脉全麻在小儿隐匿性阴茎延长术的应用中麻醉更平稳,麻醉苏醒更顺利,安全性更高,值得推广应用。

关键词：骶麻复合静脉全身麻醉单纯静脉全身麻醉隐匿性阴茎延长术

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Efect of chromium oxide as active site over TiO_2-PILC for selective catalytic oxidation of NO

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Journal of Environmental Sciences 2013年第12期25卷 2492-2497页

作者： Jingxin zhang Shule zhang wei cai Qin Zhong School of Chemical Engineering Nanjing University of Science and Technology Nanjing AIREP Environmental Protection Technology Co. Ltd.

This study introduced TiO2-pillared clays （TiO2-PILC） as a support for the catalytic oxidation of NO and analyzed the performance of chromium oxides as the active site of the oxidation process. Cr-based catalysts were prepared by a wet impregnation method. It was found that the 10 wt.% chromium doping on the support achieved the best catalytic activity. At 350℃, the NO conversion was 61% under conditions of GHSV = 23600 hr^-l. The BET data showed that the support particles had a mesoporous structure. Hz-TPR showed that Cr（10）TiP （10 wt.% Cr doping on TiO2-PILC） clearly exhibited a smooth single peak. EPR and XPS were used to elucidate the oxidation process. During the NO ＋ O2 adsorption, the intensity of evolution of superoxide ions （O2^-） increased. The content of Cr^3＋ on the surface of the used catalyst was 40.37%, but when the used catalyst continued adsorbing NO, the Cr^3＋ increased to 50.28%. Additionally, Oα/Oβ increased markedly through the oxidation process. The NO conversion decreased when SO2 was added into the system, but when the SO2 was removed, the catalytic activity recovered almost up to the initial level. FT-IR spectra did not show a distinct characteristic peak of SO4^2-.

关键词： selective catalytic oxidation chromium oxide TiO2-pillared clay

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Deep hybrid: Multi-graph neural network collaboration for hyperspectral image classification

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Defence Technology（防务技术） 2023年第5期23卷 164-176页

作者： Ding Yao zhang Zhi-li Zhao Xiao-feng cai wei He Fang cai Yao-ming wei-wei cai Xi'an Research Institute of High Technology Xi'an710025China The School of Computer Science China University of GeosciencesWuhan430074China The School of Artificial Intelligence and Computer Science Jiangnan UniversityWuxi214122China

With limited number of labeled samples,hyperspectral image(HSI)classification is a difficult Problem in current *** graph neural network(GNN)has emerged as an approach to semi-supervised classification,and the application of GNN to hyperspectral images has attracted much ***,in the existing GNN-based methods a single graph neural network or graph filter is mainly used to extract HSI features,which does not take full advantage of various graph neural networks(graph filters).Moreover,the traditional GNNs have the problem of *** alleviate these shortcomings,we introduce a deep hybrid multi-graph neural network(DHMG),where two different graph filters,i.e.,the spectral filter and the autoregressive moving average(ARMA)filter,are utilized in two *** former can well extract the spectral features of the nodes,and the latter has a good suppression effect on graph *** network realizes information interaction between the two branches and takes good advantage of different graph *** addition,to address the problem of oversmoothing,a dense network is proposed,where the local graph features are *** dense structure satisfies the needs of different classification targets presenting different ***,we introduce a GraphSAGEbased network to refine the graph features produced by the deep hybrid *** experiments on three public HSI datasets strongly demonstrate that the DHMG dramatically outperforms the state-ofthe-art models.

关键词： Graph neural network Hyperspectral image classification Deep hybrid network

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High-Strength and Tough Crystalline Polysaccharide-Based Materials

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Chinese Journal of Chemistry 2020年第7期38卷 761-771页

作者： Pingdong wei Jie cai Lina zhang College of Chemistry and Molecular Sciences Wuhan UniversityWuhanHubei 430072China Hubei Engineering Center of Natural Polymer-based Medical Materials Wuhan UniversityWuhan Hubei 430072China Shenzhen Research Institute of Wuhan University Wuhan UniversityShenzhenGuangdong 518057China

Due to the increasing public awareness of environmental issues and the shortage of resources,the focus on products made from renewable sources to fulill the sustainable development of modern society has *** crystalline polysaccharides have been studied for a long time and are among the most abundant renewable resources in the ***-performance materials have been fabricated using crystalline polysaccharides such as cellulose and *** practical applications,the mechanical performance of polysaccharide-based materials is *** this review,we focus on the methods for constructing high-strength and high-toughness crystalline polysaccharide-based *** review elucidates the three approaches of aggregate structure regulation,bioinspiration and mineralization,and the use of crystalline polysaccharides as matrices for reinforcing the mechanical properties of nanocomposites.

关键词： crystalline intensified Crystalline

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ARFIMA模型在中国股票市场预测的失效

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系统工程理论方法应用 2002年第2期11卷 94-100页

作者：刘文财刘豹张维天津大学管理学院天津300072

选取了上证综合指数、深证成份指数、上证工业指数、上海商业指数、上海地产指数、公共事业指数、四川长虹、深发展 A8个从 1 997- 0 1 - 0 2～ 2 0 0 1 - 1 2 - 31样本序列。分别进行了序列的性质分析 ,并根据序列的性质为它们建立了 A... 详细信息

选取了上证综合指数、深证成份指数、上证工业指数、上海商业指数、上海地产指数、公共事业指数、四川长虹、深发展 A8个从 1 997- 0 1 - 0 2～ 2 0 0 1 - 1 2 - 31样本序列。分别进行了序列的性质分析 ,并根据序列的性质为它们建立了 ARFIMA( p,d,q)模型 ,进行了预测。结果表明。

关键词： ARFIMA模型市场预测中国股票市场上证综合指数深证成份指数上证工业指数

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上海市初中生生活方式现状及其相关因素分析

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实用预防医学 2018年第6期25卷 703-708页

作者：李月红朱益蔡军张伟波上海市徐汇区凌云街道社区卫生服务中心上海200237 上海交通大学医学院附属精神卫生中心

目的了解上海市初中生的生活方式现状及其相关因素。方法 2015年12月-2016年1月采取二阶段分层整群抽样,抽取并调查了徐汇、长宁、黄浦、闵行和奉贤5个区的5所普通公立初级中学学生3 108名,采用自编问卷和中国青少年生活方式问卷调查学... 详细信息

目的了解上海市初中生的生活方式现状及其相关因素。方法 2015年12月-2016年1月采取二阶段分层整群抽样,抽取并调查了徐汇、长宁、黄浦、闵行和奉贤5个区的5所普通公立初级中学学生3 108名,采用自编问卷和中国青少年生活方式问卷调查学生个人、家庭、学校情况以及生活方式等。结果回收有效问卷3 021份,上海市初中生的生活方式问卷因子分均大于3分,除睡眠状况评分以外,其余各因子优于全国水平(P<0.001)。单因素分析显示:在个人特征中,男生在睡眠状况、体育锻炼以及生活满意度的评分优于女生(P<0.01),而女生则在卫生习惯、学习习惯、人际关系和应对方式方面优于男生(P<0.01);独生子女的饮食、卫生习惯评分优于非独生子女(P<0.01)。家庭因素方面,核心家庭学生的生活方式各因子评分均高于非核心家庭者(P<0.01);父母无不良嗜好的初中生在生活方式各因子评分均要优于有不良嗜好者(P<0.05)。学校因素中,不同学习压力、不同学习氛围的学生生活方式各因子评分差异均有统计学意义(P<0.01)。多元逐步回归分析表明,社会支持、学习氛围、年级、学习压力、学校所在区县、家庭经济、父亲文化程度、家庭结构和父母不良嗜好等因素对初中生生活方式有较强的影响作用(P<0.05),回归模型有统计学意义(F=122.413,P<0.01,R^2=0.374)。结论初中生生活方式受个体、家长和学校等多维度影响,应建立综合性的干预机制,积极培养学生健康生活方式。

关键词：初中生生活方式影响因素

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Application of the improved dung beetle optimizer,muti-head attention and hybrid deep learning algorithms to groundwater depth prediction in the Ningxia area,China

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Atmospheric and Oceanic Science Letters 2025年第1期18卷 18-23页

作者： Jiarui cai Bo Sun Huijun Wang Yi Zheng Siyu Zhou Huixin Li Yanyan Huang Peishu Zong Collaborative Innovation Center on forecast and Evaluation of Meteorological Disasters/Key Laboratory of Meteorological Disaster Ministry of Education/Joint International Research Laboratory of Climate and Environment ChangeNanjing University of Information Science and TechnologyNanjingChina Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai) ZhuhaiChina China Meteorological Administration Key Laboratory of Transportation MeteorologyNanjingChina Jiangsu Meteorological Observatory NanjingChina

Due to the lack of accurate data and complex parameterization,the prediction of groundwater depth is a chal-lenge for numerical *** learning can effectively solve this issue and has been proven useful in the prediction of groundwater depth in many *** this study,two new models are applied to the prediction of groundwater depth in the Ningxia area,*** two models combine the improved dung beetle optimizer(DBO)algorithm with two deep learning models:The Multi-head Attention-Convolution Neural Network-Long Short Term Memory networks(MH-CNN-LSTM)and the Multi-head Attention-Convolution Neural Network-Gated Recurrent Unit(MH-CNN-GRU).The models with DBO show better prediction performance,with larger R(correlation coefficient),RPD(residual prediction deviation),and lower RMSE(root-mean-square error).Com-pared with the models with the original DBO,the R and RPD of models with the improved DBO increase by over 1.5%,and the RMSE decreases by over 1.8%,indicating better prediction *** addition,compared with the multiple linear regression model,a traditional statistical model,deep learning models have better prediction performance.

关键词： Groundwater depth Multi-head attention Improved dung beetle optimizer CNN-LSTM CNN-GRU Ningxia

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Influence of lactic acid on the two-phase anaerobic digestion of kitchen wastes

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Journal of Environmental Sciences 2007年第2期19卷 244-249页

作者： zhang Bo cai wei-min HE Pin-jing State Key Laboratory of PoUution Control and Resources Reuse Tongji University Shanghai 200092 China School of Environmental Science and Engineering Shanghai Jiaotong University Shanghai 200240 China

To evaluate the influence of lactic acid on the methanogenesis, anaerobic digestion of kitchen wastes was firstly conducted in a two-phase anaerobic digestion process, and performance of two digesters fed with lactic acid and glucose was subsequently compared. The results showed that the lactic acid was the main fermentation products of hydrolysis-acidification stage in the two-phase anaerobic digestion process for kitchen wastes. The lactic acid concentration constituted approximately 50% of the chemical oxygen demand （COD） concentration in the hydrolysis-acidification liquid. The maximum organic loading rate was lower in the digester fed with lactic acid than that fed with glucose. Volatile fatty acids （VFAs） and COD removal were deteriorated in the methanogenic reactor fed with lactic acid compared to that fed with glucose. The specific methanogenic activity （SMA） declined to 0.343 g COD/（gVSS-d） when the COD loading were designated as 18.8 g/（L-d） in the digester fed with lactic acid. The propionic acid accumulation occurred due to the high concentration of lactic acid fed. It could be concluded that avoiding the presence of the lactic acid is necessary in the hydrolysis-acidification process for the improvement of the two-phase anaerobic digestion process of kitchen wastes.

关键词： lactic acid kitchen wastes anaerobic digestion methanogenesis

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