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Cross Project Defect Prediction via Balanced Distribution Adaptation Based Transfer Learning

Journal of Computer science & technology 2019年第5期34卷 1039-1062页

作者： Zhou Xu Shuai Pang Tao Zhang Xia-Pu Luo Jin Liu Yu-Tian Tang Xiao Yu Lei Xue College of Computer Science and Technology Harbin Engineering UniversityHarbin 150001China School of Computer Science Wuhan UniversityWuhan 430072China Department of Computing The Hong Kong Polytechnic UniversityHong Kong 999077China Department of ComputingThe Hong Kong Polytechnic UniversityHong Kong 999077China Key Laboratory of Network Assessment Technology Institute of Information EngineeringChinese Academy of Sciences Beijing 100190China Guangxi Key Laboratory of Trusted Software Guilin University of Electronic TechnologyGuilin 541004China Department of Computer Science City University of Hong KongHong Kong 999077China

Defect prediction assists the rational allocation of testing resources by detecting the potentially defective software modules before releasing products. When a project has no historical labeled defect data, cross project defect prediction (CPDP) is an alternative technique for this scenario. CPDP utilizes labeled defect data of an external project to construct a classification model to predict the module labels of the current project. Transfer learning based CPDP methods are the current mainstream. In general, such methods aim to minimize the distribution differences between the data of the two projects. However, previous methods mainly focus on the marginal distribution difference but ignore the conditional distribution difference, which will lead to unsatisfactory performance. In this work, we use a novel balanced distribution adaptation (BDA) based transfer learning method to narrow this gap. BDA simultaneously considers the two kinds of distribution differences and adaptively assigns different weights to them. To evaluate the effectiveness of BDA for CPDP performance, we conduct experiments on 18 projects from four datasets using six indicators (i.e., F-measure, g-means, Balance, AUC, EARecall, and EAF-measure). Compared with 12 baseline methods, BDA achieves average improvements of 23.8%, 12.5%, 11.5%, 4.7%, 34.2%, and 33.7% in terms of the six indicators respectively over four datasets.

关键词： cross-project defect prediction transfer learning balancing distribution effort-aware indicator

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Physiology, agronomic traits and transcriptome jointly revealed the radiation toxicity effect and response mechanism of carbon ion beam irradiation on soybean

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Plant Physiology and Biochemistry 2025年

作者： Jingmin Chen Yan Du Zhuo Feng Jing Long Lulu Wang Xiao Liu Guisen Kang Jianing Ding Zhe Li Wenjie Jin Libin Zhou Biophysics Group Biomedical Center Institute of Modern Physics Chinese Academy of Sciences Lanzhou 730000 China University of Chinese Academy of Sciences Beijing 100049 China Agronomy College Gansu Agricultural University Lanzhou 730070 China State Key Laboratory of Heavy Ion Science and Technology Institute of Modern Physics Chinese Academy of Sciences Lanzhou 730000 China

Exposure of plant seedlings to acute ionizing radiation can induce developmental toxicity, yet the toxic effects and response mechanisms to carbon ion beam (CIB) radiation remain poorly understood. In this study, three-day-old soybean seedlings were exposed to 0, 5, 10, and 15 Gy of CIB radiation. The toxicity and response mechanism of soybeans to CIB radiation were examined using physiology, agronomic traits, and transcriptome analysis. Physiological results demonstrated dose-dependent reductions in seedling growth and survival rate compared to the control, with growth parameters (seedling height and first compound leaf area) decreasing by 45.95% and 41.75%, respectively, and survival rate dropping to 44.44% at 15 Gy, while fertility showed low sensitivity to radiation. At 15 Gy, photosynthetic pigment contents decreased by 15.68–34.33%, accompanied by aberrant Photosystem II functional traits indicative of photosystem compensation, though photosynthetic efficiency was compromised. A subtle but nonsignificant hormesis effect was observed in chlorophyll content and fluorescence parameters at 5 Gy. Agronomic trait analysis revealed that 15 Gy CIB radiation significantly increased the number of mainstem nodes while profoundly inhibiting bottom pod height and branch number. Reproductive structures exhibited a notable increase in seed width, with no significant differences in other parameters compared to the control. Transcriptomic analysis identified plant hormone signal transduction pathways, ubiquinone and other terpenoid-quinone biosynthesis, and photosynthesis-antenna proteins as key regulators of soybean responses to CIB irradiation. A multi-scale response mechanism is proposed to decipher the molecular-physiological trade-offs induced by CIB, offering a comprehensive understanding of the complex interplay between molecular and physiological responses. This study elucidates the toxic effects and response mechanisms of acute high-dose CIB irradiation for soybean se

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Author Correction: Mapping annual 10-m soybean cropland with spatiotemporal sample migration

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Scientific data 2024年第1期11卷 565页

作者： Hongchi Zhang Zihang Lou Dailiang Peng Bing Zhang Wang Luo Jianxi Huang Xiaoyang Zhang Le Yu Fumin Wang Linsheng Huang Guohua Liu Shuang Gao Jinkang Hu Songlin Yang Enhui Cheng Key Laboratory of Digital Earth Science Aerospace Information Research Institute Chinese Academy of Sciences Beijing 100094 China. International Research Center of Big Data for Sustainable Development Goals Beijing 100094 China. University of Chinese Academy of Sciences Beijing 100094 China. Key Laboratory of Digital Earth Science Aerospace Information Research Institute Chinese Academy of Sciences Beijing 100094 China. pengdl@***. International Research Center of Big Data for Sustainable Development Goals Beijing 100094 China. pengdl@***. Key Laboratory of Digital Earth Science Aerospace Information Research Institute Chinese Academy of Sciences Beijing 100094 China. zhangbing@***. University of Chinese Academy of Sciences Beijing 100094 China. zhangbing@***. Jiangxi Nuclearindustry Surveying and Mapping Institute Group Co. Ltd Nanchang 330038 China. College of Land Science and Technology China Agricultural University Beijing 100083 China. Geospatial Sciences Center of Excellence Department of Geography Geospatial Sciences South Dakota State University Brookings SD 57007 USA. Department of Earth System Science Tsinghua University Beijing 100084 China. Institute of Applied Remote Sensing & Information Technology Zhejiang University Hangzhou 310058 China. National Engineering Research Center for Agro-Ecological Big Data Analysis & Application Anhui University Hefei 230601 China. Innovation Academy for Microsatellites Chinese Academy of Sciences Shanghai 200120 China.

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Structural, magnetic properties, and electronic structure of hexagonal FeCoSn compound

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Chinese Physics B 2018年第2期27卷 476-481页

作者：李勇代学芳刘国栋魏志阳刘恩克韩小磊杜志伟郗学奎王文洪吴光恒 School of Material Science and Engineering Hebei University of Technology State Key Laboratory for Magnetism Beijing National Laboratory for Condensed Matter Physics Institute of PhysicsChinese Academy of Sciences National Analysis and Testing Center for Nonferrous Metals & Electronic Materials Beijing General Research Institute for Non-ferrous Metals

The structural, magnetic properties, and electronic structures of hexagonal Fe Co Sn compounds with as-annealed bulk and ribbon states were investigated by x-ray powder diffraction（XRD）, differential scanning calorimetry（DSC）, transmission electron microscope（TEM）, scanning electron microscope（SEM）, magnetic measurements, and first-principles calculations. Results indicate that both states of FeCoSn show an Ni_2In-type hexagonal structure with a small amount of FeCo-rich secondary phase. The Curie temperatures are located at 257 K and 229 K, respectively. The corresponding magnetizations are 2.57 μB/f.u. and 2.94 μB/f.u. at 5 K with a field of 50 kOe（1 Oe = 79.5775 A·m^（-1））. The orbital hybridizations between 3 d elements are analyzed from the distribution of density of states（DOS）, showing that Fe atoms carry the main magnetic moments and determine the electronic structure around Fermi level. A peak of DOS at Fermi level accounts for the presence of the FeCo-rich secondary phase. The Ni_2In-type hexagonal FeCoSn compound can be used during the isostructural alloying for tuning phase transitions.

关键词： FeCoSn hexagonal structure first-principles calculations

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The underestimation of high pressure in DFT+U simulation for the wide range cold-pressure of lanthanide metals

arXiv

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arXiv 2021年

作者： Wang, Yue-Chao Liu, Bei-Lei Liu, Yu Liu, Hai-Feng Bi, Yan Gao, Xing-Yu Sheng, Jie Song, Hong-Zhou Tian, Ming-Feng Song, Hai-Feng Laboratory of Computational Physics Institute of Applied Physics and Computational Mathematics Beijing100088 China School of Mathematical Sciences Beijing Normal University Beijing100875 China Center for High Pressure Science and Technology Advanced Research Beijing100094 China National Key Laboratory for Shock Wave and Detonation Physics Institute of Fluid Physics CAEP Mianyang621900 China Graduate School of China Academy of Engineering Physics Beijing100088 China

Density functional theory plus U (DFT+U) is one of the most efficient first-principles methods to simulate the cold pressure properties of strongly-correlated materials. However, the applicability of DFT+U at ultra-high pressure is not sufficiently studied, especially in the widely-used augmented schemes [such as projector augmented wave (PAW) and linearized augmented plane wave (LAPW)]. This work has systematically investigated the performance of DFT+U in PAW and LAPW at the pressure up to several hundred GPa for the lanthanide metals, which is a typical strongly-correlated series. We found DFT+U simulation in PAW exhibits an unphysical underestimation of pressure in high-pressure region, which was not observed in conventional DFT simulation. By delicate analysis and comparison with local-orbital-independent hybrid functional results, we have demonstrated that this unphysical behavior is related to a normalization problem on the local density matrix caused by the overlap of local orbitals in PAW under high pressure. Additionally, we observed a slight underestimating of pressure in correlation correction methods in heavy lanthanides (Tm, Yb and Lu) in high-pressure region comparing with the DFT results without the influence of local orbital overlap, and it might be related to the enhancement of binding between atoms in correlation correction methods at high pressure. Our work reveals the underestimation of high pressure in DFT+U simulation, analyses two sources of this unusual behavior and proposes their mechanism. Most importantly, our investigation highlights the breakdown of DFT+U for high pressure simulation in VASP package based on PAW framework. Copyright © 2021, The Authors. All rights reserved.

关键词： Density functional theory

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Corrigendum to “Technical analysis of blending fusel to reduce carbon emission and pollution emission of diesel engine” [Fuel Processing technology, 241(2023): 107560/ISSN 0378-3820]

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Fuel Processing technology 2024年 254卷

作者： Jia Liu Juntong Dong Xiaodan Li Teng Xu Zhenguo Li Jeffrey Dankwa Ampah Mubasher Ikram Shihai Zhang Chao Jin Zhenlong Geng Tianyun Sun Haifeng Liu Vehicle Emission Control Center Chinese Research Academy of Environmental Science 100012 Bejing China State Environmental Protection Key Laboratory of Vehicle Emission Control and Simulation Chinese Research Academy of Environmental Science 100012 Beijing China School of Environmental Science and Engineering Tianjin University 300072 Tianjin China China Automobile Technology &Research Center Co. Ltd. 300300 Tianjin China State Key Laboratory of Engines Tianjin University 300072 Tianjin China

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SpectralKAN: Kolmogorov-Arnold Network for Hyperspectral Images Change Detection

arXiv

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arXiv 2024年

作者： Wang, Yanheng Yu, Xiaohan Gao, Yongsheng Sha, Jianjun Wang, Jian Gao, Lianru Zhang, Yonggang Rong, Xianhui The College of Intelligent Systems Science and Engineering Harbin Engineering University Harbin150001 China The Qingdao Innovation and Development Base Harbin Engineering University Qingdao266000 China The School of Computing Macquarie University Macquarie ParkNSW2109 Australia The Institute for Integrated and Intelligent Systems Griffith University BrisbaneQLD4111 Australia The School of Geodesy and Geomatics Wuhan University Wuhan430079 China The Key Laboratory of Computational Optical Imaging Technology Aerospace Information Research Institute Chinese Academy of Sciences Beijing100094 China The Qingdao Innovation and Development Center Harbin Engineering University Qingdao266000 China

It has been verified that deep learning methods, including convolutional neural networks (CNNs), graph neural networks (GNNs), and transformers, can accurately extract features from hyperspectral images (HSIs). These algorithms perform exceptionally well on HSIs change detection (HSIs-CD). However, the downside of these impressive results is the enormous number of parameters, FLOPs, GPU memory, training and test times required. In this paper, we propose an spectral Kolmogorov-Arnold Network (KAN) for HSIs-CD (SpectralKAN). SpectralKAN represent a multivariate continuous function with a composition of activation functions to extract HSIs feature and classification. These activation functions are b-spline functions with different parameters that can simulate various functions. In SpectralKAN, a KAN encoder is proposed to enhance computational efficiency for HSIs. And a spatial-spectral KAN encoder is introduced, where the spatial KAN encoder extracts spatial features and compresses the spatial dimensions from patch size to one. The spectral KAN encoder then extracts spectral features and classifies them into changed and unchanged categories. We use five HSIs-CD datasets to verify the effectiveness of SpectralKAN. Experimental verification has shown that SpectralKAN maintains high HSIs-CD accuracy while requiring fewer parameters, FLOPs, GPU memory, training and testing times, thereby increasing the efficiency of HSIs-CD. The code will be available at https://***/yanhengwang-heu/SpectralKAN. Copyright © 2024, The Authors. All rights reserved.

关键词： Computational efficiency

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Influences of different definitions of the winter NAO index on NAO action centers and its relationship with SST

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Atmospheric and Oceanic science Letters 2019年第5期12卷 320-328页

作者： JING Yujie LI Yangchun XU Yongfu FAN Guangzhou School of Atmospheric Sciences ζhengdu University of Information TechnologyChengduChina State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry Institute of Atmospheric PhysicsChinese Academy of SciencesBeijingChina Laboratory for Regional Oceanography and Numerical Modeling Qingdao National Laboratory for Marine Science and TechnologyQingdaoChina Department of Atmospheric Chemistry and Environmental Sciences College of Earth ScienceUniversity of Chinese Academy of SciencesBeijingChina

Winter North Atlantic Oscillation(NAO)indexes from observations based on various winter durations are *** show that there are significant differences in the interannual and decadal variations of these NAO *** the same data source,a different definition of winter duration can lead to different signs of NAO index in some years,which mainly appear to be in the period of decadal phase *** different winter durations induce different cycles of the observation-based *** longer the winter duration,the stronger the decadal *** NAO defined by different winter durations also can generate different descriptions of the NAO action centers,including the position and *** longer the winter duration,the more southerly action centers appear to *** movement of the action centers affects not only site-based NAO indexes but also those defined by other methods,such as empirical orthogonal function(EOF)*** length of time used in EOF analysis has a great influence on the spatial pattern of the NAO mode,which results in a considerable difference between the corresponding NAO *** of which NAO index is used,the NAO-related SST anomalies show the same tripole *** longer the winter duration,the more significant the relationship between the NAO and SST affected by the timescale of sea-air interaction.

关键词： NAO index winter duration period action centers sea surface temperature

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Retraction notice to “Investigation of dynamical behavior of 3LPT protein - water molecules interactions in atomic structures using molecular dynamics simulation” [J. Mol. Liq. 329 (2021) 115615]

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Journal of Molecular Liquids 2025年 421卷

作者： Muhammad Ibrahim Tareq Saeed Maboud Hekmatifar Roozbeh Sabetvand Yu-Ming Chu Davood Toghraie School of Mathematics and Physics University of Science and Technology Beijing Beijing 100083 China Nonlinear Analysis and Applied Mathematics (NAAM)-Research Group Department of Mathematics Faculty of Science King Abdulaziz University P.O. Box 80203 Jeddah 21589 Saudi Arabia Department of Mechanical Engineering Khomeinishahr Branch Islamic Azad University Khomeinishahr Iran Department of Energy Engineering and Physics Faculty of Condensed Matter Physics Amirkabir University of Technology Tehran Iran Department of Mathematics Huzhou University Huzhou 313000 PR China Hunan Provincial Key Laboratory of Mathematical Modeling and Analysis in Engineering Changsha University of Science and Technology Changsha 410114 PR China

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Class of bell-clauser-horne inequalities for testing quantum nonlocality

arXiv

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arXiv 2021年

作者： Qian, Chen Yang, Yang-Guang Wang, Qun Qiao, Cong-Feng Interdisciplinary Center for Theoretical Study Department of Modern Physics University of Science and Technology of China Anhui Hefei230026 China Peng Huanwu Center for Fundamental Theory Anhui Hefei230026 China School of Physical Sciences University of Chinese Academy of Sciences Beijing100049 China Key Laboratory of Vacuum Physics Chinese Academy of Sciences Beijing100049 China

Quantum nonlocality, one of the most important features of quantum mechanics, is normally connected in experiments with the violation of Bell-Clauser-Horne (Bell-CH) inequalities. We propose effective methods for the rearrangement and linear inequality to prove a large variety of Bell-CH inequalities. We also derive a set of Bell-CH inequalities by using these methods which can be violated in some quantum entangled states. © 2021, CC BY-NC-ND.

关键词： Quantum entanglement

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