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Journal of Mountain Science 2022年第9期19卷 2587-2600页

作者： WANG Mei-quan GUAN Qing-wei huang zong-sheng ZHAO Jia-hao LIU Zheng-ji ZHANG Hao BAO Xun-wen-qian WANG Lei YE Yu-qian College of Biology and the Environment Nanjing Forestry UniversityNanjing 210037China Co-Innovation Center for Sustainable Forestry in Southern China College of Biology and the EnvironmentNanjing Forestry UniversityNanjing 210037China College of Architecture and Urban Planning Guizhou UniversityGuiyang 550002China

Rock fissures constitute the main habitat type in the karst rocky desertification(KRD)area,but the effects of their network morphology on soil properties remain *** address this,we investigated 46 rock vertical profile plots in Guizhou Province of China and classified their habitats using the morphological characteristics of their fissure *** response characteristics of soil nutrients and enzyme activities to the rock fissure morphologies in different rock habitats were discussed,and the main factors affecting soil nutrients and enzyme activities were comprehensively *** fissure networks were divided into three types:Type 1,a random type,with a low dip angle,long trace length,multiple turns,multiple connections,and high density;Type 2,a uniform type,with a moderate dip angle,moderate trace length,fewer turns,fewer connections,and moderate density;and Type 3,an aggregation type,with a high dip angle,short trace length,fewer turns,moderate connections,and low *** nutrient levels and enzyme activities were the highest in Type 1,followed by Types 2 and *** were no significant differences between the total phosphorus and available phosphorus content in Types *** dip angle,fractal dimension,and average trace length were identified as the main factors affecting soil nutrients and enzyme activities,and Type 1 was the most conducive for soil nutrient and enzyme *** restoration of Type 2 and 3 areas should be emphasized in future research,as these results will help guide vegetation restoration in KRD areas.

关键词： Karst rocky habitat Rock fissure networks Fractal Spatial syntax Nutrients Enzymatic activity

A novel Ce_(0.485)Zr_(0.485)Y_(0.03)O_(2) composite oxide with surface doping of Y and its application in Pd-only three-way catalyst

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Rare Metals 2024年第2期43卷 749-757页

作者： Zheng Zhao Wei-Xin Zhao Yong-Qi Zhang Mei-sheng Cui Yong-Ke Hou Dong-Ming Chen Juan-Yu Yang zong-Yu Feng Xiao-Wei huang National Engineering Research Center for Rare Earth Grirem Advanced Materials Co.Ltd.GRINM Group Corporation LimitedBeijing100088China Griem Hi-Tech Co.Ltd. Langfang065000China Rare Earth Functional Materials(Xiong’an)Innovation Venter Co.Ltd. Baoding071700China

The ceria-zirconia compound oxide-supported noble metal Pd(Pd@CZ)is widely used in three-way ***,the surface structure of CZ plays an important role in catalytic activity of ***,how to regulate the surface structure of CZ and clarify the structure–activity relationship is still a *** this paper,a strategy is proposed to develop high activity Pd@CZ nanocatalysts by tuning Y doping sites in *** precipitate-deposition method is developed to prepare the novel Ce_(0.485)Zr_(0.485)Y_(0.03)O_(2) composite with surface doping of Y(CZ-Y-S).In addition,the Pd@CZ-Y-S(Pd supported on CZ-Y-S)exhibits superior catalytic activity for HC,CO,and NO oxide,wherein,for CO and C_(3)H_(6) oxidation,the low-temperature activity of Pd@CZ-Y-S is still 20%higher than that of Pd@CZ-Y-B(Y bulk doping)and commercial Pd@CZ after 1000℃/4 h *** effect mechanism is further studied by density functional theory(DFT)*** with Pd@CZ-Y-B,Pd@CZ-Y-S shows the lower CO oxide reaction energy barriers due to the weaker adsorption strength of *** Y surface doping strategy could provide valuable insights for the development of highly efficient Pd@CZ catalyst with extensive applications.

关键词： Rare earth Ceria-zirconia-supported Pd Surface doping Experiment and theory Catalytic application

A Deep Model for Partial Multi-label Image Classification with Curriculum-based Disambiguation

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Machine Intelligence Research 2024年第4期21卷 801-814页

作者： Feng Sun Ming-Kun Xie sheng-Jun huang MIIT Key Laboratory of Pattern Analysis and Machine Intelligence College of Computer Science and TechnologyNanjing University of AeronauticsandAstronauticsNanjing211106China

In this paper,we study the partial multi-label(PML)image classification problem,where each image is annotated with a candidate label set consisting of multiple relevant labels and other noisy *** PML methods typically design a disambiguation strategy to filter out noisy labels by utilizing prior knowledge with extra assumptions,which unfortunately is unavailable in many real ***,because the objective function for disambiguation is usually elaborately designed on the whole training set,it can hardly be optimized in a deep model with stochastic gradient descent(SGD)on *** this paper,for the first time,we propose a deep model for PML to enhance the representation and discrimination *** the one hand,we propose a novel curriculum-based disambiguation strategy to progressively identify ground-truth labels by incorporating the varied difficulties of different *** the other hand,consistency regularization is introduced for model training to balance fitting identified easy labels and exploiting potential relevant *** experimental results on the commonly used benchmark datasets show that the proposed method significantlyoutperforms the SOTA methods.

关键词： Partial multi-label image classification curriculum-based disambiguation consistency regularization label difficulty candidatelabel set.

Radical involved reactive wetting and retarding mechanism of alumina refractory ceramic by molten slags under weak static magnetic field

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Journal of Iron and Steel Research International 2024年第6期31卷 1355-1366页

作者： sheng-hao Li Ao huang Fan-bo Zeng Hui Peng Hao-ran Wei Xue-chun huang sheng-qiang Song Hua-zhi Gu The State Key Laboratory of Refractories and Metallurgy Wuhan University of Science and TechnologyWuhan 430081HubeiChina

High alumina slag will cause severe corrosion at the interface of alumina refractory,and the wetting behavior of slag is a key factor influencing the corrosion resistance of refractory *** static magnetic field is a promising solution for improvement in the slag resistance of *** wetting of alumina refractory ceramics with different basicities of high alumina slags under a weak static magnetic field was analyzed,given that a weak static magnetic field can affect the corrosion behavior of refractory *** slag S_(3) as an example,when there was an external static magnetic field of 1.0 mT at 1600 ℃,the thickness of calcium aluminate reaction layer at the interface decreased by 36.7%,the denting depth of interface decreased by 35.6%,and the apparent wetting angle increased by 20%.The living radicals and their formation path in oxide melts were verified by first-principles calculation combined with electron paramagnetic resonance spectroscopy *** influence of the flux density of a weak static magnetic field on the wetting behavior of slags was also *** contact angle of the slags increased owing to the inhibitory effect of magnetic field on the radicalinvolved reaction at the interface of the slag and the alumina refractory *** relationships between the magnetic flux density,diffusion coefficient,slag microstructure(hyperfine coupling constant),and contact angle were *** provides a theoretical basis for the field control of radical involved reactive wetting between inorganic oxide slags and solid oxide ceramics.

关键词： Alumina refractory ceramic Molten slag Weak magnetic field effect Reactive wetting Free radical

Kinematics-aware multigraph attention network with residual learning for heterogeneous trajectory prediction

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Journal of Intelligent and Connected Vehicles

Journal of Intelligent and Connected Vehicles 2024年第2期7卷 138-150页

作者： Zihao sheng Zilin huang Sikai Chen Department of Civil and Environmental Engineering University of Wisconsin–MadisonMadisonWI 53706USA

Trajectory prediction for heterogeneous traffic agents plays a crucial role in ensuring the safety and efficiency of automated driving in highly interactive traffic *** studies in this area have focused on physicsbased approaches because they can clearly interpret the dynamic evolution of ***,physics-based methods often suffer from limited *** learning-based methods have demonstrated better performance,but they cannot be fully trusted due to the insufficient incorporation of physical *** mitigate the limitations of purely physics-based and learning-based approaches,this study proposes a kinematics-aware multigraph attention network(KAMGAT)that incorporates physics models into a deep learning framework to improve the learning process of neural ***,we propose a residual prediction module to further refine the trajectory predictions and address the limitations arising from simplified assumptions in kinematic *** evaluate our proposed model through experiments on two challenging trajectory datasets,namely,ApolloScape and *** findings from the experiments demonstrate that our model outperforms various kinematics-agnostic models with respect to prediction accuracy and learning efficiency.

关键词： trajectory prediction physics-informed deep learning multigraph attention residual learning automated driving

Applying deep learning technique to chiral magnetic wave search

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Chinese Physics C 2024年第8期48卷 170-176页

作者： Yuan-sheng Zhao Xu-Guang huang Physics Department and Center for Particle Physics and Field Theory Fudan UniversityShanghai 200433China Key Laboratory of Nuclear Physics and Ion-beam Application(MOE) Fudan UniversityShanghai 200433China Shanghai Research Center for Theoretical Nuclear Physics National Natural Science Foundation of China and Fudan UniversityShanghai 200438China

The chiral magnetic wave(CMW)is a collective mode in quark-gluon plasma originated from the chiral magnetic effect(CME)and chiral separation *** detection in heavy-ion collisions is challenging owing to significant background ***[*** et al.,***.C 106,L051901(2022)],we constructed a neural network that accurately identifies the CME-related signal from the final-state pion *** this study,we have generalized this neural network to the case of CMW *** show that,after an updated training,the neural network effectively recognizes the CMW-related ***,we have assessed the performance of the neural network in comparison with other known methods for CMW search.

关键词： deep learning chiral magnetic wave relativistic heavy-ion collisions

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湖南黄桑国家级自然保护区植被景观格局探讨

福建林业科技 2008年第1期35卷 99-106页

作者：黄宗胜彭重华贵州大学土木建筑工程学院环境艺术研究所贵州贵阳550003 中南林业科技大学环境艺术设计学院湖南长沙410004

①斑块特征指数分析表明:各景观类型的密度、分维数指数都较小,植被景观的深展指数都不高,扩散比较均匀,没有极端复杂的形状产生,植被景观在演替系列中还没有普遍达到演替的顶级,斑块之间自相似程度较高。②多样性指数分析表明:总体多... 详细信息

①斑块特征指数分析表明:各景观类型的密度、分维数指数都较小,植被景观的深展指数都不高,扩散比较均匀,没有极端复杂的形状产生,植被景观在演替系列中还没有普遍达到演替的顶级,斑块之间自相似程度较高。②多样性指数分析表明:总体多样性程度高。景观多样性指数、优势度指数与均匀度指数的结果所包含的意义一致,这种一致性充分说明了各植被景观类型分布均匀,各景观类型地位相差较小。③空间构型指数分析表明:保护区的斑块密度为1.001,即1 km2上有1.001个斑块。这说明斑块数目较少。各景观类型分布也较均匀。保护区景观破碎度指数为0.007,这表明该区植被景观在研究期内所表现的生境破碎化程度是很低的。每一植被景观类型破碎度指数最高的是灌丛和灌草丛景观,其次为栲林景观,其余的破碎度都处于较低的水平。内部生境破碎化指数以灌丛和灌草丛景观、栲林景观为最低,它们的单独斑块面积较大,故破碎化指数较低。其它景观类型的破碎化指数相差不大,这与植被顺向演替是相关的。景观分离度指数的排序结果与斑块密度的排序基本一致。

关键词：景观格局分析植被自然保护区湖南黄桑

Engineering Ru（N^N）3-modified covalent organic framework for photocatalytic olefin epoxidation

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Science China Chemistry 2024年第11期67卷 3719-3728页

作者： Yan-Lin Li sheng-Li huang Guo-Yu Yang Key Laboratory of Cluster Science (Ministry of Education) Beijing Key Laboratory of Photoelectronic/Electrophotonic Conversion MaterialsSchool of Chemistry and Chemical Engineering Beijing Institute of Technology

Photocatalytic olefin oxidation using air as an oxidant is an environmentally friendly method for producing epoxides. Covalent organic frameworks（COFs） have emerged as promising photocatalysts in various organic synthesis reactions. The combination of tri-（2-pyridinal aldehyde）-containing precursor with 4,4’,4’’-（1,3,5-triazine-2,4,6-triyl）trianiline generated（N^N）-I-COF. Via imine-to-quinoline transformation and coordination anchorage of Ru（N^N）3unit, Ru（N^N）3@Q-COF was obtained with improved chemical stability, skeleton conjugation, and novel photochemical characteristics, and demonstrated excellent photocatalytic activity in olefin epoxidation with a wide range of substrates. The presence of H2O played a crucial role in the formation of reactive oxygen species（ROSs）, which in turn influenced the olefin oxidation process. The hydrophilicity of Ru（N^N）3facilitated the approach of H2O and O2to the photogenerated charges, thereby promoting ROSs generation. The lipophilicity of Q-COF allowed for the absorption of olefin substrates, and its nano-channels increased encountering possibility between olefins and ROSs. Consequently, Ru（N^N）3@Q-COF provided an intriguing platform for olefin photooxidation and could be recycled multiple times without any degradation in performance. This report revealed that the conversion of classical ROSs into less potent oxidants with rapid kinetic rates played a crucial role in achieving highly efficient and selective epoxidation of terminal olefins.

关键词： polypyridyl Ru covalent organic framework olefin epoxidation photocatalysis

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探测器点阵法测量激光光斑参数的仿真

强激光与粒子束 2005年第3期17卷 330-334页

作者：黄宗升秦石乔王省书国防科学技术大学光电科学与工程学院湖南长沙410073

仿真分析了用均匀分布的探测器点阵测量激光光斑方法中,探测器灵敏度的线性工作动态范围,灵敏度的一致性差异,点阵间距等参数和光斑质心位置的测量误差,光束总能量的测量误差,以及光斑的分布等。仿真结果表明,当探测器灵敏度的一致性差... 详细信息

仿真分析了用均匀分布的探测器点阵测量激光光斑方法中,探测器灵敏度的线性工作动态范围,灵敏度的一致性差异,点阵间距等参数和光斑质心位置的测量误差,光束总能量的测量误差,以及光斑的分布等。仿真结果表明,当探测器灵敏度的一致性差异小于10%,线性工作范围的动态范围大于30dB,点阵间距小于光斑直径的1/5时,光束总能量的误差小于6%,光斑质心位置的测量误差小于光斑直径的2%,拟合的光斑分布和实际光斑分布比较接近。

关键词：探测器点阵激光光斑测量仿真