Youpeng Zhang

Guangxi University

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Long Gu

Lanzhou University of Technology

Yihe Zhang

China University of Geosciences (Beijing)

Jin-Yang Li

University of Science and Technology Beijing

Na Zhang

Chinese Academy of Sciences

Hu-Shan Xu

Chinese Academy of Sciences

Hanqing Zeng

Dalian Medical University

Chong Ding

China University of Geosciences (Beijing)

Cunfeng Yao

Institute of Modern Physics

Xiangyun Di

China University of Geosciences (Beijing)

Zi-Nan Huang

Institute of Modern Physics

Cooperative Institutions

Chinese Academy of Sciences

Institute of Modern Physics

China University of Geosciences (Beijing)

Huazhong University of Science and Technology

University of Chinese Academy of Sciences

Union Hospital

Lanzhou Jiaotong University

Ji Hua Laboratory

Fudan University

University of Science and Technology Beijing

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Effects of halloysite-decorated basalt fiber on mechanical properties and microstructure of iron tailings-based cementitious mortar

Construction and Building Materials (2024)

Ruoyun Xia Na Zhang Youpeng Zhang Shuai Zhang Yidi Wang

Halloysite

Cementitious

Basalt fiber

10.1016/j.conbuildmat.2024.135300

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Citations (5)

Mica's homo-positive-charging behavior enabled porous elastomer TENG for energy harvesting in high humidity

Nano Energy (2023)

Xuemei Wang Wangshu Tong Runfeng Yu Jiahe Zhang Yu-Lun Liu

Contact electrification

Nanogenerator

Mechanical energy

10.1016/j.nanoen.2023.109056

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Citations (4)

Fault Diagnosis of Signal Equipment on the Lanzhou‐Xinjiang High‐Speed Railway Using Machine Learning for Natural Language Processing

Complexity (2021)

Lei Shi Yulin Zhu Youpeng Zhang Zhongji Su

The Lanzhou‐Xinjiang (Lan‐Xin) high‐speed railway is one of the principal sections of the railway network in western China, and signal equipment is of great importance in ensuring the safe and efficient operation of the high‐speed railway. Over a long period, in the railway operation and maintenance process, the railway signaling and communications department has recorded a large amount of unstructured text information about equipment faults in the form of natural language. However, due to irregularities in the recording methods of these data, it is difficult to use directly. In this paper, a method based on natural language processing (NLP) was adopted to analyze and classify this information. First, the Latent Dirichlet Allocation (LDA) topic model was used to extract the semantic features of the text, which were then expressed in the corresponding topic feature space. Next, the Support Vector Machine (SVM) algorithm was used to construct a signal equipment fault diagnostic model that reduced the impact of sample data imbalance on the classification accuracy. This was compared and analyzed with the traditional Naive Bayes (NB), Logistic Regression (LR), Random Forest (RF), and K‐Nearest Neighbor (KNN) algorithms. This study used signal equipment failure text data from the Lan‐Xin high‐speed railway to conduct experimental analysis and verify the effectiveness of the proposed method. Experiments showed that the accuracy of the SVM classification algorithm could reach 0.84 after being combined with the LDA topic model, which verifies that the natural language processing method can effectively realize the fault diagnosis of signal equipment and has certain guiding significance for the maintenance of field signal equipment.

SIGNAL (programming language)

10.1155/2021/9126745

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Citations (13)

An Unexpected Trinuclear Cobalt(II) Complex Based on a Half-Salamo-Like Ligand: Synthesis, Crystal Structure, Hirshfeld Surface Analysis, Antimicrobial and Fluorescent Properties

Crystals (2019)

Ruoyan Li Xiao‐Xin An Juanli Wu Youpeng Zhang Wen‐Kui Dong

An unexpected trinuclear Co(II) complex, [Co3(L2)2(μ-OAc)2(CH3OH)2]·2CH3OH (H2L2 = 4,4′-dibromo-2,2′-[ethylenedioxybis(nitrilomethylidyne)]diphenol) constructed from a half-Salamo-based ligand (HL1 = 2-[O-(1-ethyloxyamide)]oxime-4-bromophenol) and Co(OAc)2·4H2O, has been synthesized and characterized by elemental analyses, infrared spectra (IR), UV-Vis spectra, X-ray crystallography and Hirshfeld surface analysis. The Co(II) complex contains three Co(II) atoms, two completely deprotonated (L2)2− units, two bridged acetate molecules, two coordinated methanol molecules and two crystalline methanol molecules, and finally, a three-dimensional supramolecular structure with infinite extension was formed. Interestingly, during the formation of the Co(II) complex, the ligand changed from half-Salamo-like to a symmetrical single Salamo-like ligand due to the bonding interactions of the molecules. In addition, the antimicrobial activities of HL1 and its Co(II) complex were also investigated.

10.3390/cryst9080408

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Citations (15)

The meta-heuristic method based cutting planning for the decommissioning of spallation target in China initiative accelerator driven subcritical system

Annals of Nuclear Energy (2022)

Jin-Yang Li Long Gu Yongquan Wang Youpeng Zhang Jia-Wen Fan

Nuclear decommissioning

10.1016/j.anucene.2022.108978

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Citations (3)

Neutronics analysis of the stellarator-type fusion-fission hybrid reactor based on the CAD optimization method

Annals of Nuclear Energy (2020)

Jin-Yang Li Long Gu Hu-Shan Xu Youpeng Zhang Cunfeng Yao

Burnup

Neutron Transport

Fusion power

10.1016/j.anucene.2020.107846

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Citations (1)

Study on the thermo-hydraulic behaviors within a CiADS 61-pin wire-wrapped fuel assembly under porous blockage conditions based on LBEblockageFoam

Annals of Nuclear Energy (2024)

Yun-Xiang Li Run-Sheng Yang Yue Li Xingkang Su Yi‐Wen Han

10.1016/j.anucene.2024.110734

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Citations (0)

Association Between Left Renal Vein Entrapment and Varicocele Recurrence: A Cohort Study in 3042 Patients

Scientific Reports (2018)

Sen Li Qian Liu Jin Wang Xueqin Pang Youpeng Zhang

The recurrence rates after varicocelectomy vary from 0.9% to 32.2%, especially for patients with the left renal vein entrapment (LRVE). This study aims to study the association between LRVE and varicocele recurrence, and to find the risk factors of LRVE. With the design of a cohort study, we included 3042 varicocele patients who would undergo modified inguinal microscope-assisted varicocelectomy (MHMV). 858 (28.21%) patients with LRVE were as the study group, and 2184 (71.79%) patients without LRVE were as the control group. Compared with the control group, BMI was lower (p < 0.001) in study group. Totally, 18 patients had recurrence after surgery, so the recurrence rate was 0.59%. Seventeen patients (1.98%) in study group and 1 patients (0.05%) in control group had recurrence, and significant statistical difference was found between the two groups (p < 0.001). The risk ratio of LRVE for varicocele recurrence is 43.27. In conclusion, the recurrence rate of our MHMV is the lowest (0.59%). There is association between LRVE and varicocele recurrence, and varicocele patients with LRVE have higher probability of recurrence rate after varicocelectomy. BMI could be a risk factor of LRVE. Thus, for varicocele patients, especially those with lower BMI, attentions should be payed to LRVE.

10.1038/s41598-018-28887-9

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Citations (7)

Genetic algorithm based temperature control of the dense granular spallation target in China initiative accelerator driven system

Annals of Nuclear Energy (2021)

Jin-Yang Li Yong Dai Long Gu Youpeng Zhang Zhiyong He

10.1016/j.anucene.2021.108127

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Citations (8)

In situ stress and reservoir quality evaluation of Jurassic Ahe Formation in Kuqa depression of Tarim Basin, China

Petroleum Science and Technology (2025)

Ronghu Zhang Fei Zhao Youpeng Zhang Junpeng Wang Qinglu Zeng

The Jurassic Ahe Formation in Kuqa Depression of Tarim Basin shows huge potential for hydrocarbon exploration, however, the stress is intensive due to active tectonic movements. The hydrocarbon exploration process is hindered, therefore, attentions are needed to pay in the stress fields and their controls on reservoir quality. The direction of maximum horizontal stress (SHmax), and magnitudes of SHmax, minimum horizontal stress (Shmin) and vertical stress (Sv) of Ahe Formation were systematically analyzed using image logs, sonic logs and conventional well logs. The controls of in-situ stress fields on reservoir quality (porosity and fracture) are unraveled. The results show that the reservoir pore types include intergranular pores, intragranular dissolution pores and fracture as well as micropores. The SHmax direction is near North-South according to borehole breakouts and drilling-induced fractures, and controls fracture effectiveness. The stress magnitudes control matrix porosity and fracture porosity, and both matrix porosity and fracture porosity decrease with the increasing horizontal stress difference (SHmax-Shmin). Layers with high horizontal stress differences are heavily compacted, and they have no evident pore spaces. Low horizontal stress difference is mainly associated with the fractured zones. The results help predict reservoir quality and fractures of the Jurassic Ahe Formation in Kuqa Depression.

Tarim basin

Depression

10.1080/10916466.2025.2466849

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Citations (0)