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A Damage Control Model for Reinforced Concrete Pier Columns Based on Pre-Damage Tests under Cyclic Reverse Loading

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Structural Durability & Health Monitoring 2025年第2期19卷 327-346页

作者： zhao-Jun Zhang Jing-Shui Zhen Bo-cheng Li De-cheng Cai Yang-Yang Du wen-Wei Wang Offshore Oil Engineering Co. Ltd.Tianjin300461China Department of Bridge Engineering School of TransportationSoutheast UniversityNanjing21189China

To mitigate the challenges in managing the damage level of reinforced concrete(RC)pier columns subjected to cyclic reverse loading,this study conducted a series of cyclic reverse tests on RC pier *** analyzing the outcomes of destructive testing on various specimens and fine-tuning the results with the aid of the IMK(Ibarra Medina Krawinkler)recovery model,the energy dissipation capacity coefficient of the pier columns were able to be ***,utilizing the calibrated damage model parameters,the damage index for each specimen were *** on the obtained damage levels,three distinct pre-damage conditions were designed for the pier columns:minor damage,moderate damage,and severe *** study then predicted the variations in hysteresis curves and damage indices under cyclic loading *** experimental findings reveal that the displacement at the top of the pier columns can serve as a reliable indicator for controlling the damage level of pier columns ***,the calibrated damage index model exhibits proficiency in accurately predicting the damage level of RC pier columns under cyclic loading.

关键词： Reinforced concrete pier cyclic reverse load pre-damage damage index displacement control

Continuum estimation in low-resolution gamma-ray spectra based on deep learning

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Nuclear Science and Techniques 2025年第2期36卷 5-17页

作者： Ri zhao Li-Ye Liu xin Liu zhao-xing Liu Run-cheng Liang Ren-Jing Ling-Hu Jing Zhang Fa-Guo Chen China Institute for Radiation Protection Taiyuan 030006China Shanxi Provincial Key Laboratory for Translational Nuclear Medicine and Precision Protection Taiyuan 030006China

In this study,an end-to-end deep learning method is proposed to improve the accuracy of continuum estimation in low-resolution gamma-ray spectra.A novel process for generating the theoretical continuum of a simulated spectrum is established,and a convolutional neural network consisting of 51 layers and more than 105 parameters is constructed to directly predict the entire continuum from the extracted global spectrum *** testing,an in-house NaI-type whole-body counter is used,and 106 training spectrum samples(20%of which are reserved for testing)are generated using Monte Carlo *** addition,the existing fitting,step-type,and peak erosion methods are selected for *** proposed method exhibits excellent performance,as evidenced by its activity error distribution and the smallest mean activity error of 1.5%among the evaluated ***,a validation experiment is performed using a whole-body counter to analyze a human physical phantom containing four *** largest activity error of the proposed method is−5.1%,which is considerably smaller than those of the comparative methods,confirming the test *** multiscale feature extraction and nonlinear relation modeling in the proposed method establish a novel approach for accurate and convenient continuum estimation in a low-resolution gamma-ray ***,the proposed method is promising for accurate quantitative radioactivity analysis in practical applications.

关键词： Gamma-ray spectrum Continuum estimation Deep learning Convolutional neural network End-to-end prediction

Moment Redistribution Effect of the Continuous Glass Fiber Reinforced Polymer-Concrete Composite Slabs Based on Static Loading Experiment

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Structural Durability & Health Monitoring 2025年第1期19卷 105-123页

作者： zhao-Jun Zhang wen-Wei Wang Jing-Shui Zhen Bo-cheng Li De-cheng Cai Yang-Yang Du Hui Huang Offshore Oil Engineering Co.Ltd. Tianjin300461China Department of Bridge Engineering School of TransportationSoutheast UniversityNanjing211189China

This study aimed to investigate the moment redistribution in continuous glass fiber reinforced polymer(GFRP)-concrete composite slabs caused by concrete cracking and steel bar yielding in the negative bending moment *** experimental bending moment redistribution test was conducted on continuous GFRP-concrete composite slabs,and a calculation method based on the conjugate beam method was *** composite slabs were formed by combining GFRP profiles with a concrete layer and supported on steel beams to create two-span continuous composite slab *** methods,epoxy resin bonding,and stud connection,were used to connect the composite slabs with the steel *** experimental findings showed that the specimen connected with epoxy resin exhibited two moments redistribution phenomena during the loading process:concrete cracking and steel bar yielding at the internal *** contrast,the composite slab connected with steel beams by studs exhibited only one-moment redistribution phenomenon throughout the loading *** the concrete at the internal support cracked,the bending moment decreased in the internal support section and increased in the midspan *** the steel bars yielded,the bending moment further decreased in the internal support section and increased in the mid-span *** GFRP profiles do not experience cracking,there was no significant decrease in the bending moment of the mid-span *** test specimens experienced compressive failure of concrete at the mid-span *** results showed good agreement between the calculated and experimental values of bending moments in the mid-span section and internal support *** proposed model can effectively predict the moment redistribution behavior of continuous GFRP-concrete composite slabs.

关键词： Moment redistribution GFRP-concrete composite slabs bending moment experimental study analysis model

A single-pixel elemental imaging method using neutron-induced gamma-ray activation

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Nuclear Science and Techniques 2025年第1期36卷 1-12页

作者： Can cheng Yong-Ji Xie Xun-Rong Xia Jia-Yu Gu Dong zhao Yi-Ze Chen Ai-Yun Sun Xu-wen Liang wen-Bao Jia Da-Qian Hei Department of Ionizing Radiation and Medical Engineering Jiangsu Institute of MetrologyNanjing 210023China Institute of Nuclear Analytical Technology Nanjing University of Aeronautics and AstronauticsNanjing 211106China China Nuclear Power Engineering Co. LtdBeijing 100840China School of Nuclear Science and Technology Lanzhou UniversityLanzhou 730000China

Neutron-induced gamma-ray imaging is a spectroscopic technique that uses characteristic gamma rays to infer the elemental distribution of an ***,this technique requires the use of large facilities to supply a high neutron flux and a time-consuming detection procedure involving direct collimating *** this study,a new method based on low neutron flux was proposed.A single-pixel gamma-ray detector combined with random pattern gamma-ray masks was used to measure the characteristic gamma rays emitted from the *** of the elemental distribution in the sample,comprising 30×30 pixels,were reconstructed using the maximum-likelihood expectation-maximization *** results demonstrate that the elemental imaging of the sample can be accurately determined using this *** proposed approach,which eliminates the need for high neutron flux and scanning measurements,can be used for in-field imaging applications.

关键词： Elemental imaging Neutron-induced gamma-ray activation Single-pixel imaging

Integrating well logs, 3D seismic, and earthquake data for comprehensive prediction of 3D in-situ stress orientations: A case study from the Weiyuan area in the Sichuan Basin, China

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Petroleum Science 2025年第1期22卷 210-221页

作者： Huan Cao Yang zhao Hai-Chao Chen Le-Le Zhang cheng-Gang Xian Ji-Dong Yang lu Liu State Key Laboratory of Petroleum Resources and Engineering and Unconventional Petroleum Research Institute China University of Petroleum (Beijing) Department of Geophysics China University of Petroleum (East China) Aramco Beijing Research Center Aramco Asia

Determining the orientation of in-situ stresses is crucial for various geoscience and engineering applications. Conventional methods for estimating these stress orientations often depend on focal mechanism solutions(FMSs) derived from earthquake data and formation micro-imager(FMI) data from well ***, these techniques can be costly, depth-inaccurate, and may lack spatial coverage. To address this issue, we introduce the use of three-dimensional(3D) seismic data(active sources) as a lateral constraint to approximate the 3D stress orientation field. Recognizing that both stress and fracture patterns are closely related to seismic velocity anisotropy, we derive the orientation of azimuthal anisotropy from multi-azimuth 3D seismic data to compensate for the lack of spatial stress orientation information. We apply our proposed workflow to a case study in the Weiyuan area of the Sichuan Basin, China, a region targeted for shale gas production. By integrating diverse datasets, including 3D seismic, earthquakes, and well logs, we develop a comprehensive 3D model of in-situ stress(orientations and magnitudes). Our results demonstrate that the estimated anisotropy orientations from 3D seismic data are consistent with the direction of maximum horizontal principal stress(SHmax) obtained from FMIs. We analyzed 12earthquakes(magnitude > 3) recorded between 2016 and 2020 for their FMSs and compressional axis(Paxis) orientations. The derived SHmax direction from our 3D stress model is 110°ES(East-South), which shows excellent agreement with the FMSs(within 3.96°). This close alignment validates the reliability and precision of our integrated method for predicting 3D SHmax orientations.

关键词： In-situ stress orientation SHmax Azimuthal velocity anisotropy Focal source mechanism Formation micro-imager

A highly efficient soybean transformation system using GRF3-GIF1 chimeric protein

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Journal of Integrative Plant Biology 2025年第1期67卷 3-6页

作者： Ying zhao Peng cheng Ying Liu Chunyan Liu Zhenbang Hu Dawei xin Xiaoxia Wu Mingliang Yang Qingshan Chen National Key Laboratory of Smart Farm Technologies and Systems College of Agriculture Northeast Agricultural University

Soybean (Glycine max (Linn.) Merr.) is among the most important global sources of edible protein and oil used for human consumption, livestock rearing, and industrial applications. Low regeneration efficiency frequently limits the potential of engineering and genome editing approaches to improve soybean agronomic features.

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Hydrogen sulfide reduces oxidative stress in Huntington's disease via Nrf2

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Neural Regeneration Research 2025年第6期20卷 1776-1788页

作者： Zige Jiang Dexiang Liu Tingting Li chengcheng Gai Danqing xin Yijing zhao Yan Song Yahong cheng Tong Li Zhen Wang Department of Physiology School of Basic Medical SciencesCheeloo College of MedicineShandong UniversityJinanShandong ProvinceChina Department of Medical Psychology and Ethics School of Basic Medicine SciencesCheeloo College of MedicineShandong UniversityJinanShandong ProvinceChina Department of Neurosurgery Surgery Qingdao Municipal HospitalQingdaoShandong ProvinceChina

The pathophysiology of Huntington's disease involves high levels of the neurotoxin quinolinic acid. Quinolinic acid accumulation results in oxidative stress, which leads to neurotoxicity. However, the molecular and cellular mechanisms by which quinolinic acid contributes to Huntington's disease pathology remain unknown. In this study, we established in vitro and in vivo models of Huntington's disease by administering quinolinic acid to the PC12 neuronal cell line and the striatum of mice, respectively. We observed a decrease in the levels of hydrogen sulfide in both PC12 cells and mouse serum, which was accompanied by down-regulation of cystathionine β-synthase, an enzyme responsible for hydrogen sulfide production. However, treatment with NaHS(a hydrogen sulfide donor) increased hydrogen sulfide levels in the neurons and in mouse serum, as well as cystathionine β-synthase expression in the neurons and the mouse striatum, while also improving oxidative imbalance and mitochondrial dysfunction in PC12 cells and the mouse striatum. These beneficial effects correlated with upregulation of nuclear factor erythroid 2-related factor 2 expression. Finally, treatment with the nuclear factor erythroid 2-related factor 2inhibitor ML385 reversed the beneficial impact of exogenous hydrogen sulfide on quinolinic acid-induced oxidative stress. Taken together, our findings show that hydrogen sulfide reduces oxidative stress in Huntington's disease by activating nuclear factor erythroid 2-related factor 2,suggesting that hydrogen sulfide is a novel neuroprotective drug candidate for treating patients with Huntington's disease.

关键词： apoptosis cystathionine-β-synthase nuclear factor erythroid 2-related factor 2 Huntington's disease hydrogen sulfide mitochondrion neuroplasticity oxidative stress quinolinic acid reactive oxygen species

The long noncoding RNA ALEX1 confers a functional phase state of ARF3 to enhance rice resistance to bacterial pathogens

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Molecular Plant 2025年第1期18卷 114-129页

作者： Meng-Qi Lei Rui-Rui He Yan-Fei Zhou lu Yang Zhen-Fei Zhang Chao Yuan wen-Long zhao Yu cheng Jian-Ping Lian Yu-Chan Zhang wen-Tao Wang Yang Yu Yue-Qin Chen Guangdong Provincial Key Laboratory of Plant Stress Biology State Key Laboratory for BiocontrolSchool of Life SciencesSun Yat-Sen UniversityGuangzhou 510275P.R.China Guangdong Key Laboratory of Crop Germplasm Resources Preservation and Utilization Agro-biological Gene Research CenterGuangdong Academy of Agricultural SciencesGuangzhou 510640P.R.China Plant Protection Research Institute Guangdong Academy of Agricultural SciencesGuangzhou 510640P.R.China

Rice bacterial blight is a devastating disease worldwide,causing significant yield *** how plants defend against microbial infection is critical for sustainable crop *** this study,we show that ALEX1,a previously identified pathogen-induced long noncoding RNA,localizes to the nucleus and directly binds AUxin RESPONSE FACTOR 3(ARF3).We showed that ARF3 forms the condensates in the nucleus via its intrinsically disordered middle region(MR),and that these ARF3 condensates display solid-like *** further revealed that ALEX1 directly binds the MR of ARF3 to regulate ARF3 condensate dynamics and promote ARF3 *** dispersed,dimeric form of ARF3,referred to as its functional phase state,enhances its ability to transcriptionally repress the expression of downstream target genes such as JAZ13,thereby modulating the jasmonic acid signaling pathway and enhancing pathogen resistance in ***,this study reveals the role of a long noncoding RNA in regulating protein condensation and complex assembly,thus contributing to plant pathogen resistance.

关键词： lncRNA Xoo ARF3 protein condensates

Preparation of FeCoNi medium entropy alloy from Fe^(3+)-Co^(2+)-Ni^(2+)solution system

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International Journal of Minerals,Metallurgy and Materials 2025年第1期32卷 92-101页

作者： Zongyou cheng Qing zhao Mengjie Tao Jijun Du xingxi Huang chengjun Liu Key Laboratory for Ecological Metallurgy of Multimetallic Mineral(Ministry of Education) Northeastern UniversityShenyang 110819China School of Metallurgy Northeastern UniversityShenyang 110819China Engineering Research Center of Frontier Technologies for Low-carbon Steelmaking(Ministry of Education) Shenyang 110819China

In recent years,medium entropy alloys have become a research hotspot due to their excellent physical and chemical *** controlling reasonable elemental composition and processing parameters,the medium entropy alloys can exhibit similar properties to high entropy alloys and have lower *** this paper,a FeCoNi medium entropy alloy precursor was prepared via sol-gel and coprecipitation methods,respectively,and FeCoNi medium entropy alloys were prepared by carbothermal and hydrogen *** phases and magnetic properties of FeCoNi medium entropy alloy were *** showed that FeCoNi medium entropy alloy was produced by carbothermal and hydrogen reduction at 1500℃.Some carbon was detected in the FeCoNi medium entropy alloy prepared by carbothermal *** alloy prepared by hydrogen reduction was uniform and showed a relatively high ***,the hydrogen reduction product exhibited better saturation magnetization and lower coercivity.

关键词： medium entropy alloy sol-gel co-precipitation carbothermal hydrogen reduction