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广西地方紫云英种质资源收集及表型多样性评价

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湖北农业科学 2024年第2期63卷 67-73页

作者：韦彩会董文斌李忠义唐红琴曾成城莫永诚何铁光广西壮族自治区农业科学院农业资源与环境研究所/广西耕地保育重点实验室南宁530007

以农业农村部“第三次全国农作物种质资源普查与收集行动”为契机,开展了广西壮族自治区紫云英(Astragalus sinicus L.)种质资源的考察收集与评价鉴定。结果表明,收集到的58份地方资源主要分布在桂东北以及0~400 m的中低海拔地区。12项... 详细信息

以农业农村部“第三次全国农作物种质资源普查与收集行动”为契机,开展了广西壮族自治区紫云英(Astragalus sinicus L.)种质资源的考察收集与评价鉴定。结果表明,收集到的58份地方资源主要分布在桂东北以及0~400 m的中低海拔地区。12项农艺性状表型分析显示其遗传多样性丰富;主成分分析将12个农艺性状分为3个主成分,分别为种子产量、生物产量及生育期特征,累计贡献率达72.089%;通过加权平均计算得出综合排名前10位的种质资源为GXLF20180011、GXLF2019109、GXLF2019156、GXLF2019118、GXLF2019112、GXLF2019117、GXLF20180006、GXLF2019125、GXLF2019111、GXLF2019136;排名前10位的种质资源全生育期为134~147 d,盛花期茎粗(直径)为2.83~3.66 mm,盛花期株高为41.63~54.73 cm,单株分枝数为2.83~4.19个,每分枝花序数为5.85~6.99个,总花序数为17.55~26.23个/株,结荚花序数为14.33~19.97个/株,鲜草产量为10458.15~48792.75 kg/hm^(2),干草产量为1037.36~5724.34 kg/hm^(2),种子产量为246.75~991.20 kg/hm^(2)。

关键词：紫云英(Astragalus sinicus L.) 种质资源收集表型多样性广西

Low-Rank Optimal Transport for Robust Domain Adaptation

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IEEE/CAA Journal of Automatica Sinica 2024年第7期11卷 1667-1680页

作者： Bingrong Xu Jianhua Yin cheng Lian Yixin Su Zhigang zeng IEEE the School of Automation Wuhan University of TechnologyWuhan 430070China Intelligent Transportation Systems Research Center Wuhan University of TechnologyWuhan 430063 Chongqing Research Institute Wuhan University of TechnologyChongqingChina the School of Artificial Intelligence and Automation Huazhong University of Science and TechnologyWuhan 430074 the Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China Wuhan 430074China

When encountering the distribution shift between the source(training) and target(test) domains, domain adaptation attempts to adjust the classifiers to be capable of dealing with different domains. Previous domain adaptation research has achieved a lot of success both in theory and practice under the assumption that all the examples in the source domain are welllabeled and of high quality. However, the methods consistently lose robustness in noisy settings where data from the source domain have corrupted labels or features which is common in reality. Therefore, robust domain adaptation has been introduced to deal with such problems. In this paper, we attempt to solve two interrelated problems with robust domain adaptation:distribution shift across domains and sample noises of the source domain. To disentangle these challenges, an optimal transport approach with low-rank constraints is applied to guide the domain adaptation model training process to avoid noisy information influence. For the domain shift problem, the optimal transport mechanism can learn the joint data representations between the source and target domains using a measurement of discrepancy and preserve the discriminative information. The rank constraint on the transport matrix can help recover the corrupted subspace structures and eliminate the noise to some extent when dealing with corrupted source data. The solution to this relaxed and regularized optimal transport framework is a convex optimization problem that can be solved using the Augmented Lagrange Multiplier method, whose convergence can be mathematically proved. The effectiveness of the proposed method is evaluated through extensive experiments on both synthetic and real-world datasets.

关键词： Domain adaptation low-rank constraint noise corruption optimal transport

A unified pre-training and adaptation framework for combinatorial optimization on graphs

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Science China Mathematics 2024年第6期67卷 1439-1456页

作者： Ruibin zeng Minglong Lei Lingfeng Niu Lan cheng School of Computer Science and Technology University of Chinese Academy of SciencesBeijing100049China Faculty of Information Technology Beijing University of TechnologyBeijing100124China School of Economics and Management University of Chinese Academy of SciencesBeijing100190China School of Mathematics and Statistics Central South UniversityChangsha410075China

Combinatorial optimization(CO)on graphs is a classic topic that has been extensively studied across many scientific and industrial ***,solving CO problems on graphs through learning methods has attracted great *** deep learning methods,e.g.,graph neural networks(GNNs),have been used to effectively assist the process of solving ***,current frameworks based on GNNs are mainly designed for certain CO problems,thereby failing to consider their transferable and generalizable abilities among different COs on ***,simply using original graphs to model COs only captures the direct correlations among objects,which does not consider the mathematical logicality and properties of *** this paper,we propose a unified pre-training and adaptation framework for COs on graphs with the help of the maximum satisfiability(Max-SAT)*** first use Max-SAT to bridge different COs on graphs since they can be converted to Max-SAT problems represented by standard formulas and clauses with logical *** we further design a pre-training and domain adaptation framework to extract the transferable and generalizable features so that different COs can benefit from *** the pre-training stage,Max-SAT instances are generated to initialize the parameters of the *** the fine-tuning stage,instances from CO and Max-SAT problems are used for adaptation so that the transferable ability can be further *** experiments on several datasets show that features extracted by our framework exhibit superior transferability and Max-SAT can boost the ability to solve COs on graphs.

关键词： combinatorial optimization graph neural networks domain adaptation maximum satisfiability problem

Achieving near-infrared-light-mediated switchable friction regulation on MXene-based double network hydrogels

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Friction 2024年第1期12卷 39-51页

作者： Pengxi WU cheng zeng Jinglun GUO Guoqiang LIU Feng ZHOU Weimin LIU Center of Advanced Lubrication and Sealing Materials State Key Laboratory of Solidification ProcessingNorthwestern Polytechnical UniversityXi’an 710072China State Key Laboratory of Solid Lubrication Lanzhou Institute of Chemical PhysicsChinese Academy of SciencesLanzhou 730000China

MXene possesses great potential in enriching the functionalities of hydrogels due to its unique metallic conductivity,high aspect ratio,near-infrared light(NIR light)responsiveness,and wide tunability,however,the poor compatibility of MXene with hydrogels limits further *** this work,we report a uniformly dispersed MXene-functionalized poly-N-isopropylacrylamide(PNIPAM)/poly-2-acrylamido-2-methyl-1-propanesulfonic acid(PAMPS)double network hydrogel(M–DN hydrogel)that can achieve switchable friction regulation by using the NIR *** dispersity of MXene in hydrogels was significantly improved by incorporating the chitosan(CS)*** M–DN hydrogel showed much low coefficient of friction(COF)at 25℃ due to the presence of hydration layer on hydrogel *** illuminating with the NIR light,M–DN hydrogel with good photothermal effect rapidly raised the temperature to above the lower critical solution temperature(LCST),which led to an obvious increase of surface COF owing to the destruction of the hydration *** addition,M–DN friction control hydrogel showed good recyclability and controllability by tuning“on-off”of the NIR *** work highlights the construction of functional MXene hydrogels for intelligent lubrication,which provides insight for interface sensing,controlled transmission,and flexible robotic arms.

关键词： MXene dispersion photothermal hydrogel near-infrared(NIR)light friction modulation

Achieving structurally stable O3-type layered oxide cathodes through site-specific cation-anion co-substitution for sodium-ion batteries

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Journal of Energy Chemistry 2024年第6期93卷 411-418,I0011页

作者： Yihao Shen Chen cheng Xiao Xia Lei Wang Xi Zhou Pan zeng Jianrong zeng Liang Zhang Institute of Functional Nano&Soft Materials(FUNSOM) Soochow UniversitySuzhou 215123JiangsuChina Institute for Advanced Study School of Mechanical EngineeringChengdu UniversityChengdu 610106SichuanChina Shanghai Synchrotron Radiation Facility Shanghai Advanced Research InstituteChinese Academy of SciencesShanghai 201204China Shanghai Institute of Applied Physics Chinese Academy of SciencesShanghai 201800China Jiangsu Key Laboratory of Advanced Negative Carbon Technologies Soochow UniversitySuzhou 215123JiangsuChina

O3-type layered oxides have garnered great attention as cathode materials for sodium-ion batteries because of their abundant reserves and high theoretical ***,challenges persist in the form of uncontrollable phase transitions and intricate Na^(+)diffusion pathways during cycling,resulting in compromised structural stability and reduced capacity over *** study introduces a special approach employing site-specific Ca/F co-substitution within the layered structure of O_(3)-NaNi_(0.5)Mn_(0.5)O_(2) to effectively address these ***,the strategically site-specific doping of Ca into Na sites and F into O sites not only expands the Na^(+)diffusion pathways but also orchestrates a mild phase transition by suppressing the Na^(+)/vacancy ordering and providing strong metal-oxygen bonding strength,*** as-synthesized Na_(0.95)Ca_(0.05)Ni_(0.5)Mn_(0.5)O_(1.95)F_(0.05)(NNMO-CaF)exhibits a mild O3→O3+O'3→P3 phase transition with minimized interlayer distance variation,leading to enhanced structural integrity and stability over extended *** a result,NNMO-CaF delivers a high specific capacity of 119.5 mA h g^(-1)at a current density of 120 mA g^(-1)with a capacity retention of 87.1%after 100 *** study presents a promising strategy to mitigate the challenges posed by multiple phase transitions and augment Na^(+)diffusion kinetics,thus paving the way for high-performance layered cathode materials in sodium-ion batteries.

关键词： Sodium-ion batteries O3-type layered oxides Site-specific co-doping Phase transition

Efficient Clustering Network Based on Matrix Factorization

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Computers, Materials & Continua 2024年第7期80卷 281-298页

作者： Jieren cheng Jimei Li Faqiang zeng Zhicong Tao and Yue Yang School of Computer Science and Technology Hainan UniversityHaikou570228China School of Cyberspace Security Hainan UniversityHaikou570228China Hainan Blockchain Technology Engineering Research Center Haikou570228China

Contrastive learning is a significant research direction in the field of deep ***,existing data augmentation methods often lead to issues such as semantic drift in generated views while the complexity of model pre-training limits further improvement in the performance of existing *** address these challenges,we propose the Efficient Clustering Network based on Matrix Factorization(ECN-MF).Specifically,we design a batched low-rank Singular Value Decomposition(SVD)algorithm for data augmentation to eliminate redundant information and uncover major patterns of variation and key information in the ***,we design a Mutual Information-Enhanced Clustering Module(MI-ECM)to accelerate the training process by leveraging a simple architecture to bring samples from the same cluster closer while pushing samples from other clusters *** experiments on six datasets demonstrate that ECN-MF exhibits more effective performance compared to state-of-the-art algorithms.

关键词： Contrastive learning clustering matrix factorization

Development of an enhanced online tritium monitoring system using plastic scintillation fiber array

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NUCLEAR SCIENCE AND TECHNIQUES 2024年第10期35卷 1-11页

作者： cheng, Wen-Yu Deng, Ke zeng, You-Shi Liu, Wei Zhang, Qin Chinese Acad Sci Shanghai Inst Appl Phys Shanghai 201800 Peoples R China Univ Chinese Acad Sci Beijing 100049 Peoples R China

Tritium, a radioactive nuclide discharged by nuclear power plants, poses challenges for removal. Continuous online monitoring of tritium in water is crucial for real-time radiation data, given its predominant existence in the environment as water. This paper presents the design, simulation, and development of a tritium monitoring device utilizing a plastic scintillation fiber (PSF) array. Experimental validation confirmed the device's detection efficiency and minimum detectable activity. The recorded detection efficiency of the device is 1.6x10-3\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$1.6\times 10{-3}$$\end{document}, which exceeds the theoretically simulated value of 4x10-4\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$4\times 10{-4}$$\end{document} by four times. Without shielding, the device can achieve a minimum detectable activity of 3165BqL-1\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$3165\,\hbox {Bq}\,\hbox {L}{-1}$$\end{document} over a 1600-second measurement duration. According to simulation and experimental results, enhancing detection efficiency is possible by increasing the number and length of PSFs and implementing rigorous shielding measures. Additionally, reducing the diameter of PSFs can also improve detection efficiency. The minimum detectable activity of the device can be further reduced using the aforementioned methods.

关键词： Tritium Plastic scintillating fiber array Detector WATER SOIL

Time-dependent behavior and permeability evolution of limestone under hydro-mechanical coupling

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Journal of Mountain Science 2024年第5期21卷 1697-1714页

作者： WANG Zhilong zeng Zhengqiang LYU cheng WANG Mingnian HU Xiongyu DONG Yucang School of Civil Engineering Southwest Jiaotong UniversityChengdu 61003China College of Civil Engineering Tongji UniversityShanghai 200092China College of Water Resource and Hydropower Sichuan UniversityChengdu 610065China Hebei GEO University Shijiazhuang 050031China

Excessively high pore water pressure presents unpredictable risks to the safety of rock tunnels in mountainous regions that are predominantly composed of limestone. Investigating the creep characteristics and permeability evolution of limestone under varying hydrated conditions is crucial for a better understanding of the delayed deformation mechanisms of limestone rock tunnels. To this end, this paper initially conducts a series of multi-stage triaxial creep tests on limestone samples under varying pore water pressures. The experiment examines how pore water pressure affects limestone’s creep strain, strain rate, long-term strength, lifespan, and permeability, all within the context of hydraulicmechanical(HM) coupling. To better describe the creep behavior associated with pore water pressure, this paper proposes a new nonlinear fractional creep constitutive model. This constitutive model depicts the initial, steady-state, and accelerated phases of limestone’s creep behavior. Finally, the proposed model is applied to the numerical realization of deformation in limestone tunnel, validating the effectiveness of the proposed constitutive model in predicting tunnel’s creep deformation. This research enhances our understanding of limestone’s creep characteristics and permeability evolution under HM coupling, laying a foundation for assessing the longterm stability of mountain tunnels.

关键词： Creep test Hydraulic-mechanical coupling Creep constitutive model Fractional derivatives Pore pressure

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Genes & Diseases 2024年第1期11卷 367-381页

作者： Yunchao Zhang Jiayu Tang cheng Wang Qinxiu Zhang Anqi zeng Linjiang Song School of Medical and Life Sciences Chengdu University of Traditional Chinese MedicineChengduSichuan 611137China Institute of Translational Pharmacology and Clinical Application Sichuan Academy of Chinese Medical ScienceChengduSichuan 610041China School of Pharmacy Chengdu University of Traditional Chinese MedicineChengduSichuan 611137China

The incidence and mortality rates of cancer are increasing every year worldwide but the survival rate of cancer patients is still ***,it is necessary to further elucidate the molecular mechanisms involved in tumor development and drug resis-tance to improve cancer cure or survival *** recent years,autophagy has become a hot topic in the field of oncology research,which plays a double-edged role in tumorigenesis,pro-gression,and drug ***,long non-coding RNA(lncRNA)has also been shown to regulate autophagy,and the two-sided nature of autophagy determines the dual regulatory role of autophagy-related IncRNAs(ARlncRNAs).Therefore,ARlncRNAs can be effective ther-apeutic targets for various ***,the high abundance and stability of ARlncR-NAs in tumor tissues make them promising *** this review,we summarized the roles and mechanisms of ARlncRNAs in tumor cell proliferation,apoptosis,migration,invasion,drug resistance,angiogenesis,radiation resistance,and immune *** addition,we described the clinical significance of these ARlncRNAs,including as biomarkers/therapeutic targets and their association with clinical drugs.

关键词： Apoptosis Autophagy Biomarker Cancer Drug resistance LncRNA