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arXiv 2019年

作者： Liao, Hao Wu, Xing-Tong Vidmer, Alexandre Huang, Xiao-Min Liu, Ming-Kai Zhou, Mingyang Zhang, Yi-Cheng National Engineering Laboratory for Big Data System Computing Technology Guangdong Province Key Laboratory of Popular High Performance Computers College of Computer Science and Software Engineering Shenzhen University Shenzhen518060 China Department of Physics University of Fribourg Fribourg1700 Switzerland

Prediction is one of the major challenges in complex systems. The prediction methods have shown to be effective predictors of the evolution of networks. These methods can help policy makers to solve practical problems successfully and make better strategy for the future. In this work, we focus on exporting countries' data of the international trading network. A recommendation system is then used to identify the products corresponding to the production capacity of each individual country, but are somehow overlook by the country. Then, we simulate the evolution of the country's fitness if it would have followed the recommendations. The result of this work is the combination combine these two methods to provide insights to countries on how to enhance the diversification of their exported products in a scientific way and improve national competitiveness significantly, especially for developing countries. Copyright © 2019, The Authors. All rights reserved.

关键词： Recommender systems

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Experimental Study on Flow Characteristics in a Compound Open Channel with Flexible Vegetation

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IOP Conference Series: Earth and Environmental Science 2021年第1期697卷

作者： Xiaoxiao Guo Hefang Jing Weihong Wang Juntao Wu Qiaoling Zhang Research Institute of Numerical Computation and Engineering Applications North Minzu University Yinchuan China School of Mathematics and Information Science North Minzu University Yinchuan China The Key Laboratory of Intelligent Information and Big Data Processing of Ningxia Province North Minzu University Yinchuan China

In order to study the effect of flexible vegetation for the flow in open channels with flood plains, a series of experiments were carried out in a laboratory flume with a two-stage floodplain. Four cases, i.e., dense parallel arrangement, normal parallel arrangement, sparse parallel arrangement and no vegetation condition, were designed with fixed water depth and discharge. By using three dimensional (3D) laser Doppler velocimeter (LDV) and other instruments, under the condition of the four cases,3D flow velocities, water level and turbulence intensity were measured, The experimental results show that, compared with the non-vegetation situation, the arrangement of grasses on the floodplain will increase the water surface gradient, hydraulic gradient and turbulence intensity to a certain extent.

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Accelerated placental aging mediated the association between prenatal exposure to per- and polyfluoroalkyl substances and small-for-gestational age newborns

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Ecotoxicology and Environmental Safety 2025年 299卷 118338页

作者： Fan, Yijun Guo, Liyan Gao, Chang Fang, Yuanyuan Zhou, Qiang Xia, Zhicai Wang, Chengrui Wang, Ruolan Lv, Jia Tao, Lin Fang, Mingliang Zhao, Mei Xu, De-Xiang Huang, Yichao School of Public Health and Center for Big Data and Population Health of IHM Anhui Medical University Hefei 230032 China Department of Gynecology and Obstetrics The Second Affiliated Hospital Anhui Medical University Hefei 230032 China Department of Clinical Laboratory The Second Affiliated Hospital Anhui Medical University Hefei 230032 China Xuancheng Center for Disease Control and Prevention Xuancheng 242099 China State Key Laboratory of Dampness Syndrome of Chinese Medicine The Second Affiliated Hospital of Guangzhou University of Chinese Medicine Guangzhou 510120 China Department of Environmental Science and Engineering Fudan University Shanghai 200438 China School of Nursing Anhui Medical University 230032 China Clinical Research Center Suzhou Hospital Anhui Medical University Suzhou 234099 China

Whether prenatal exposure to per- and polyfluoroalkyl substances (PFAS) is a risk factor for small-for-gestational-age (SGA) neonates remain elusive, yet even less is known on the role of premature placental aging in this potential adverse effect. In this analysis of 1046 maternal-infant dyads, 30 legacy and emerging PFAS were measured from maternal serum. Associations between (co-)exposure to PFAS and the incidence of SGA were determined using logistic regression, Bayesian Kernal Machine Regression (BKMR) and quantile-based g-computation (QGC) for single and mixture effect, respectively. Despite the legacy PFAS, prenatal exposure to short-chain emerging PFAS, including perfluorohexane sulfonic acid (PFHxS, per log 10 unit: OR=2.91, 95 %CI=1.63–5.27) and perfluoropentanoic acid (PFPeA, per log 10 unit: OR=3.02, 95 %CI=1.50–6.31) were associated with higher SGA odds. Co-exposure to these highly prevalent PFAS were associated with increased odds of delivering SGA infants, with both models showing emerging PFAS PFHxS and perfluorotridecanoic acid (PFTrDA) being the primary contributors. Further in a 1:2 case-control setting, it was found placental relative telomere length (TL) was shorter in mothers bearing SGA than those with AGA (0.82 vs 0.99, P = 0.001), showing negative association with SGA birth (OR: 0.33, 95 %CI: 0.14–0.76). Mediation analysis revealed that placental TL mediated 17.7 % of the relationship between PFHxS exposure and the risk of SGA birth, respectively. Prenatal PFAS exposure, especially the short-chain congeners, was positively associated with the odds of SGA, and the relationship was partially mediated by shortened placental TL, indicating a need for targeted health management in pregnant mothers at higher risk of SGA due to high PFAS exposure. © 2025 The Authors

关键词： Mediation analysis Mixture effect Per- and polyfluoroalkyl substance Placental aging Small-for-gestational age Telomere length

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Investigation of the Salinity Distribution of the Soil along West Main Canal in Ningxia, China

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IOP Conference Series: Earth and Environmental Science 2021年第1期697卷

作者： Juntao Wu Hefang Jing Weihong Wang Xiaoxiao Guo Xinxia Guo Research Institute of Numerical Computation and Engineering Applications North Minzu University Yinchuan China School of Mathematics and Information Science North Minzu University Yinchuan China The Key Laboratory of Intelligent Information and Big Data Processing of Ningxia Province North Minzu University Yinchuan China

As one of the main irrigation canals in Ningxia, West Main Canal plays a very important role in the irrigation of the land nearby the canal, such as farms, meadows, and tree farms. Because of the long-term use of the Yellow River water for irrigation, the soil salinization in this area become more serious. In this paper, the problem of soil salinization along the West Main Canal in Ningxia is taken as the research object. 82 sample points in the studied area are chosen and a total number of 164 soil samples are measured for the eight main salt ions and pH value. Correlation analysis and principal component analysis are employed to study the distribution of the soil salinity ions and pH value. In addition, two dimensional interpolation is applied to obtain the spatial distribution of the total saltiness. It can be found that Cl−, SO42−, Ca2+, Na+ and HCO3− are the main salt ions and the main soluble salts are NaCl, KCl, CaSO4, Na2SO4 and CaCl2 in the soil of the studied area. The spatial distribution of the total soil salt is mainly in the patterns of north high and south low, far high and near low, up high and down low.

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Insight into disinfection byproduct formation potential of aged biochar and its effects during chlorination

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Journal of environmental management 2022年 317卷 115437页

作者： Hailan Yang Shujing Ye Han Wang Chengyun Zhou Ting Xiong Yuanyuan Deng Qianmin Fu Guangming Zeng Zhuotong Zeng Xiaofei Tan Department of Dermatology Second Xiangya Hospital Central South University Changsha 410011 PR China College of Environmental Science and Engineering and Key Laboratory of Environmental Biology and Pollution Control (Ministry of Education) Hunan University Changsha 410082 PR China. College of Environmental Science and Engineering and Key Laboratory of Environmental Biology and Pollution Control (Ministry of Education) Hunan University Changsha 410082 PR China School of Resources Environment and Materials Guangxi University Nanning 530004 PR China. Institute of Big Data and Internet Innovation Hunan University of Technology and Business Changsha 410205 PR China. College of Environmental Science and Engineering and Key Laboratory of Environmental Biology and Pollution Control (Ministry of Education) Hunan University Changsha 410082 PR China. Electronic address: zengzhuotong@***. College of Environmental Science and Engineering and Key Laboratory of Environmental Biology and Pollution Control (Ministry of Education) Hunan University Changsha 410082 PR China. Electronic address: tanxf@***.

Biochar can achieve multiple benefits including solid waste management, polluted water remediation, carbon sequestration, and emission reduction. However, various environmental factors (such as temperature variations and dry-wet alternation) and microbial activity may lead to the fragmentation, dissolution, and oxidation of biochar. These accelerate the dissolution of biochar-derived dissolved organic matter (DOM) and then influence disinfection byproducts formation potential (DBPFP) throughout the water treatment process. In this paper, biochars from six biomass feedstocks with five aging processes were prepared, and the DBPFP of biochar and its derived DOM were first studied systematically. Different aging processes might increase the DBPFP of biochar by increasing DOM content and changing the fraction distribution of DOM derived from biochar. Especially, the DBPFP of biochar increased apparently with the chemical aging process. Coexisting with the environmental concentration of humic acid, even aged biochar showed the potential to reduce DBPFP and integrated toxic risk value of the mixed system. In this study, the DBPFP of biochar-derived DOM during the disinfection process is confirmed, and the results can give information to the selection of biomass feedstocks of biochar and its service life in the water treatment process.

关键词： Aged biochar Chlorination Disinfection byproducts Dissolved organic matter Integrated toxic risk value

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The role of climate and urbanization in compound meteorological event exposure in China’s megacities

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Climate Risk Management 2025年

作者： Liling Chu Chao Xu Yanwen Wang Chaoqing Huang Zhaoliang Zeng Yilin Li Yiqi Zhou Qian Wu Pingan Jiang Xusheng Gong Yujia Hong Chao He College of Resources and Environment Yangtze University Wuhan 430100 China College of Resources and Environment Xinjiang Agricultural University Urumqi 830052 China Xinjiang Key Laboratory of Soil and Plant Ecological Processes Urumqi 830052 China Xinjiang Engineering Technology Research Center of Soil Big Data Urumqi 830052 China School of Economics and Management China University of Geosciences Wuhan 430074 China School of Tourism and Culture Guangdong Eco-Engineering Polytechnic Guangzhou 510520 China State Key Laboratory of Severe Weather Chinese Academy of Meteorological Sciences Beijing 100081 China School of Geography and Ocean Science Nanjing University Nanjing 210023 China School of Resource and Environmental Sciences Wuhan University Wuhan 430079 China Hubei University of Science and Technology Xianning 437100 China Department of Real Estate and Construction Favulty of Architecture The University of Hong Kong 9990777 Hong Kong China National Science Library (Wuhan) Chinese Academy of Sciences Wuhan 430071 China

Compound precipitation and wind speed extremes (CPWE) pose significant threats to the sustainable development of urban areas. This study investigated the spatial evolution characteristics, potential population exposure risk, and multidimensional inequality of CPWE within nine urban agglomerations in China, each containing at least one city with a GDP exceeding one trillion yuan, utilizing spatiotemporal statistics and attribution analysis. The results indicated that the intensity of CPWE in these urban agglomerations decreased from southeast to northwest, and the population exposed to mild, moderate, severe, and extreme levels accounted for 58 %, 28.3 %, 11.4 %, and 2.3 % of the total, respectively. Changes in exposure risk were driven by climate effect (58.29 % ± 12.77 %), followed by population (32.15 % ± 6.20 %) and interaction effect (9.55 % ± 5.14 %). Pearl River Delta (PRD) and Yangtze River Delta (YRD), identified as particularly vulnerable, experienced an increase in CPWE intensity exceeding 0.015 /10a. An increase of approximately 0.62 × 10 4 people per decade was observed for exposure risk, with over 20 % of the population facing severe or extreme levels, mainly due to the climate effect. CPWE exposure risk was significantly unequal across various dimensions (spatial autocorrelation: Moran’s I  = 0.3798, P  = 0.001; Gini coefficient: 0.08–0.5). Areas characterized by high-risk and balanced development (e.g., PRD, YRD) exhibited lower inequality, whereas regions featuring low-risk and concentrated development (e.g., GPZ) demonstrated higher inequality. The climate effect was the predominant influence in the low-risk areas as well as most high-risk areas. These findings support the targeted implementation of appropriate climate adaptation policies to promote regional sustainable development.

关键词： Compound precipitation and wind speed extremes (CPWE) Population exposure risk Multiscale inequality Exposure attribution China’s megacities

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Coherent H ∞ control for Markovian jump linear quantum systems

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IFAC-PapersOnLine 2020年第2期53卷 269-274页

作者： Yanan Liu Daoyi Dong Ian R. Petersen Qing Gao Steven X. Ding Hidehiro Yonezawa School of Engineering and Information Technology University of New South Wales Canberra ACT 2600 Australia Center for Quantum Computation and Communication Technology Australian Research Council Canberra ACT 2600 Australia Institute for Automatic Control and Complex Systems (AKS) University of Duisburg-Essen. 47057 Duisburg Germany Research School of Electrical Energy and Materials Engineering The Australian National University Canberra ACT 2601 Australia School of Automation Science and Electrical Engineering State Key Laboratory of Software Development Environment Beijing and also with Advanced Innovation Center for Big Data and Brain Computing Beihang University Beijing 100191 China

The purpose of this paper is to design a coherent feedback controller for a Markovian jump linear quantum system suffering from a fault signal. The control objective is to bound the effect of the disturbance input on the output for the time-varying quantum system. We prove the relation between the H ∞ control problem, the dissipation properties, and the solutions of Riccati differential equations, by which the H ∞ controller of the Markovian jump linear quantum system is given by the solutions of Linear Matrix Inequalities (LMIs).

关键词： Coherent quantum feedback H∞ control fault-tolerant control Markovian jump linear quantum systems

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Spatio-temporal fusion for Macro- and Micro-expression Spotting in Long Video Sequences

Spatio-temporal fusion for Macro- and Micro-expression Spott...

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International Conference on Automatic Face and Gesture Recognition

作者： Li-Wei Zhang Jingting Li Su-Jing Wang Xian-Hua Duan Wen-Jing Yan Hai-Yong Xie Shu-Cheng Huang Key Laboratory of Behavior Sciences Institute of Psychology Chinese Academy of Sciences Beijing China School of Computer Jiangsu University of Science and Technology Zhenjiang Jiangsu China University of the Chinese Academy of Sciences Beijing China Institute of Psychology and Behavior Sciences Wenzhou University Wenzhou Zhejiang China School of Cyber Science University of Science and Technology of China HeFei Anhui China National Engineering Laboratory for Public Safety Risk Perception and Control by Big Data (PSRPC) Beijing China

ISBN: (数字)9781728130798

ISBN: (纸本)9781728130804

In this paper, we aim to construct a spotting framework automatically. It is still a great challenge to spot micro-expression(ME) intervals accurately due to short duration, low intensity, and shaking. Under the uncontrolled condition, the transformation is caused by head shaking. In order to remove the global movement caused by head shaking, we propose a simple yet effective method to disentangle local movement vector from the global optical flow field by the estimation of mean optical flow in the nose region. After preprocessing, we extract the completed specific pattern(SP) of ME in each region of interest(ROI). The pattern consists of two sub-patterns: magnitude and angle. However, influenced by frame rate and different intensities of micro- and macro- expressions, we propose to use a multi-scale filter to improve the ability to spot both micro- and macro-expressions. The spotting result performed on CAS(ME) 2 and SAMM shows that our proposed method outperforms the basline method.

关键词： Optical imaging Feature extraction Nose Optical filters Faces databases Face recognition

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Deep representation learning for road detection using siamese network

arXiv

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arXiv 2019年

作者： Liu, Huafeng Han, Xiaofeng Li, Xiangrui Yao, Yazhou Huang, Pu Tang, Zhenming School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing210094 China Jiangsu Key Laboratory of Big Data Security & Intelligent Processing Nanjing University of Posts and Telecommunications Nanjing210023 China

Robust road detection is a key challenge in safe autonomous driving. Recently, with the rapid development of 3D sensors, more and more researchers are trying to fuse information across different sensors to improve the performance of road detection. Although many successful works have been achieved in this field, methods for data fusion under deep learning framework is still an open problem. In this paper, we propose a Siamese deep neural network based on FCN-8s to detect road region. Our method uses data collected from a monocular color camera and a Velodyne-64 LiDAR sensor. We project the LiDAR point clouds onto the image plane to generate LiDAR images and feed them into one of the branches of the network. The RGB images are fed into another branch of our proposed network. The feature maps that these two branches extract in multiple scales are fused before each pooling layer, via padding additional fusion layers. Extensive experimental results on public dataset KITTI ROAD demonstrate the effectiveness of our proposed approach. Copyright © 2019, The Authors. All rights reserved.

关键词： Roads and streets

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iSplit LBI: Individualized partial ranking with ties via split LBI

arXiv

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arXiv 2019年

作者： Xu, Qianqian Sun, Xinwei Yang, Zhiyong Cao, Xiaochun Huang, Qingming Yao, Yuan Key Lab. of Intelligent Information Processing Institute of Computing Technology CAS Microsoft Research Asia State Key Laboratory of Information Security Institute of Information Engineering CAS School of Cyber Security University of Chinese Academy of Sciences School of Computer Science and Tech. University of Chinese Academy of Sciences Key Laboratory of Big Data Mining and Knowledge Management CAS Peng Cheng Laboratory Department of Mathematics Hong Kong University of Science and Technology Hong Kong

Due to the inherent uncertainty of data, the problem of predicting partial ranking from pairwise comparison data with ties has attracted increasing interest in recent years. However, in real-world scenarios, different individuals often hold distinct preferences. It might be misleading to merely look at a global partial ranking while ignoring personal diversity. In this paper, instead of learning a global ranking which is agreed with the consensus, we pursue the tie-aware partial ranking from an individualized perspective. Particularly, we formulate a unified framework which not only can be used for individualized partial ranking prediction, but also be helpful for abnormal user selection. This is realized by a variable splitting-based algorithm called iSplitLBI. Specifically, our algorithm generates a sequence of estimations with a regularization path, where both the hyperparameters and model parameters are updated. At each step of the path, the parameters can be decomposed into three orthogonal parts, namely, abnormal signals, personalized signals and random noise. The abnormal signals can serve the purpose of abnormal user selection, while the abnormal signals and personalized signals together are mainly responsible for individual partial ranking prediction. Extensive experiments on simulated and real-world datasets demonstrate that our new approach significantly outperforms state-of-the-art alternatives. The code is now availiable at https://***/qianqianxu010/ NeurIPS2019-iSplitLBI. Copyright © 2019, The Authors. All rights reserved.

关键词： Forecasting

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