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6th International Conference on Electronics Technology, ICET 2023

作者： Zhen, Jiubao huang, Shufan Jia, xuwen Du, Haocheng China Agricultural University College of Information and Electrical Engineering Beijing100083 China Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan250061 China

ISBN: (纸本)9798350337693

Virtual synchronous generator is used to control independent microgrid to provide inertia and damping support, but it often brings transient stability problems. Due to the large number of nonlinear and non-smooth characteristics of highly electronic independent microgrid, it is difficult to analyze it by the traditional transient stability analysis method. In this paper, the independent microgrid controlled by virtual synchronization is taken as the object. Firstly, we compare the impact of detailed modeling of energy storage and simplified modeling on the transient stability, and then discuss the impact of current limiting link of virtual synchronous machine on the transient stability. Secondary, combined with the idea of graph neural network, we propose an independent microgrid transient stability evaluation model based on message passing graph neural network. The information corresponding to bus and transmission lines in microgrid is aggregated and updated by message passing mechanism, so as to depict the topological connection relationship of microgrid, and then consider the influence of topology structure on transient stability evaluation. Last, a WSCC-9 system with virtual synchronous machine is taken as an example. The results show that considering the energy storage detailed model and current limiting link can effectively improve the accuracy of stability analysis. The proposed method has stronger generalization ability and is more applicable to the microgrid system with variable topological structure. © 2023 IEEE.

关键词： Stability

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Boosting catalytic performance of N doped porous carbon derived from coal tar pitch: The role of N species and the contribution of 1O2

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JOURNAL OF WATER PROCESS ENGINEERING 2025年 72卷

作者： huang, Linlin Zhang, xuwen Wang, Lin Liu, Tingting Li, Da Sheng, Tao Sun, Caiyu Li, Lixin Heilongjiang Univ Sci & Technol Coll Environm & Chem Engn Harbin 150022 Peoples R China Harbin Inst Technol State Key Lab Urban Water Resource & Environm Harbin 150090 Peoples R China

In this study, nitrogen-doped carbon material (N-PC-d) derived from coal tar pitch using dicyandiamide as N source was successfully synthesized, exhibiting outstanding catalytic performance in the activation of peroxymonosulfate (PMS) for the degradation of Orange G (OG). By optimizing key parameters such as PMS dosage, NPC dosage, nitrogen source, pH, anions, and PS source, the optimal N-PC-d/PMS system achieved a degradation rate 1.45 times higher than that of the PC/PMS system within a broad pH range (2.0-10.0). Through electron paramagnetic resonance (EPR) and quenching experiments, it was found that singlet oxygen (1O2) was the predominant species accountable for OG degradation, while reactive oxygen species (ROS), including superoxide (O2 & sdot;-), hydroxyl radicals (& sdot;OH), and sulfate radicals (SO4 & sdot;-), played auxiliary roles. Moreover, the structure-activity relationship analysis revealed that functional groups such as C--C, C--O, and pyridine N were mainly involved in PMS activation. The degradation mechanism of OG was further elucidated by high-performance liquid chromatography-mass spectrometry (HPLC-MS). This research presented a cost-efficient N-doped porous carbon material for environmental remediation and provides more profound insights into the mechanisms of PMS activation by N doped carbon-based materials.

关键词： N-doped porous carbon Coal tar pitch PMS Singlet oxygen Orange G

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Adsorption of Orange G on Activated Porous Carbon Derived from Coal Tar Pitch: Experimental and DFT Study

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LANGMUIR 2024年第48期40卷 25471-25482页

作者： huang, Linlin Zhang, xuwen Liu, Tingting Wang, Lin Li, Lixin Li, Da Sheng, Tao Dong, Zilong Zhao, Xinyue Heilongjiang Univ Sci & Technol Coll Environm & Chem Engn Harbin 150022 Peoples R China Harbin Inst Technol State Key Lab Urban Water Resource & Environm Harbin 150000 Peoples R China Northeast Agr Univ Sch Resources & Environm Harbin 150030 Peoples R China

A coal tar pitch-based porous carbon adsorbent (CPA) was synthesized through a straightforward method involving the heating of a mixture of KOH and coal tar pitch (CTP). This CPA exhibited a high surface area of 1811.2 m2 g-1 and a large pore volume of 0.94 cm3 g-1 when prepared with a CTP to KOH mass ratio of 1:4 at 800 degrees C. Parameters such as the heating temperature and activator dose were optimized to enhance the adsorption efficiency. The prepared CPA was extensively characterized by SEM, XRD, FTIR, and BET measurements. Notably, CPA presented a distinct adsorption performance for Orange G (OG), achieving a maximum adsorption capability of 449.7 mg g-1. Kinetic studies indicated that the adsorption process followed the pseudo-second-order model, while the adsorption isotherm data demonstrated that both chemical and physical interactions favored OG adsorption. Thermodynamic analysis revealed that the adsorption of OG on CPA was spontaneous and exothermic and increased the entropy. Density functional theory (DFT) calculations provided insights into the adsorption mechanism, highlighting electrostatic interactions, hydrogen bonds, and pi-pi interactions as the dominant processes governing OG adsorption onto the adsorbent.

关键词： Potassium hydroxide

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End-To-End Individual Pig Detection Based on Transfer Learning 6

End-To-End Individual Pig Detection Based on Transfer Learni...

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6th IEEE International Conference on Pattern Recognition and Artificial Intelligence, PRAI 2023

作者： huang, Zihan Li, Hao Xiong, Xiaorui He, xuwen Song, Rui huang, Mengzhen Wuhan Polytechnic University School of Mathematics and Computer Science Wuhan China

ISBN: (纸本)9798350325485

Nowadays, monitoring animals manually on a large scale is challenging, while external devices can provide more prosperous and accurate information. Therefore, there are already applications incorporating wearable sensors to monitor individual pigs. With continued breakthroughs in computer vision, low-cost visible light cameras can help monitor pigs. CNN-based object detection methods have been applied to individual pig detection, but most rely on hand-designed components and require prior knowledge. Based on previous researchers' progress, we propose using DETR, an end-To-end object detection method, to detect individual pigs. Also, to adapt to our natural pig farm environment, we trained the model with transfer learning to achieve an AP of 0.995 on our collected dataset. © 2023 IEEE.

关键词： Object detection

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Impermeability performance and corrosion resistance mechanism of basalt fiber recycled concrete under the coastal tidal environment

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CONSTRUCTION AND BUILDING MATERIALS 2024年 411卷

作者： Yang, Wenrui huang, Yuewen Tang, Zhiyi Xiong, Xiaolong Li, Chengwei Zhong, xuwen Liu, Liai Zhou, Hai Zhang, Xun East China Univ Technol Sch Civil & Architectural Engn Nanchang 330012 Peoples R China Wuhan Univ Technol Sch Transportat & Logist Engn Wuhan 430063 Peoples R China

The application of Recycled Aggregate Concrete (RAC) can effectively reduce resource consumption and mitigate environmental pollution. Under the coastal tidal environments, the performance of concrete is significantly impacted by environmental degradation. Incorporating fibers into RAC can enhance its performance in such special conditions. This study investigates the variations in properties of RAC with different Basalt Fiber (BF) volume ratios (0%, 0.5%, 1.0%, 1.5%) under composite salt dry-wet cyclic erosion cycles (0 d, 30 d, 60 d, 90 d). The results from apparent corrosion morphology analysis, internal microstructure examination, and impermeability testing demonstrate that BF can effectively inhibit the expansion of micro cracks and micropores within the test block while improving the overall compactness of the internal structure of RAC. When the BF content reaches 1.0%, it exhibits an optimal toughening effect on RAC with significantly improved impermeability and corrosion resistance properties. Furthermore, this paper comprehensively summarizes and verifies the corrosion damage mechanism of Basalt Fiber Recycled Aggregate Concrete (BFRAC) under composite salt dry-wet cycles through chemical reaction principles. A salt solution erosion model for BFRAC is proposed to elucidate fiber crack resistance mechanisms and explain accelerated corrosion caused by ion crack channels within salt solutions. This proposed model provides theoretical support for understanding salt erosion damage in fiberreinforced concrete.

关键词： Coastal tidal environment Basalt fiber Recycled concrete Impermeability Corrosion mechanism

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Research on sound source localization based on sound sensor 4

Research on sound source localization based on sound sensor

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4rth International Conference on Applied Mathematics, Modelling, and Intelligent Computing, CAMMIC 2024

作者： Jin, Hailei Wang, xuwen huang, Kun Xiong, Xiaomin Zhang, Minshu Li, Jiang Xinyu Power Supply Branch of State Grid jiangxi Power Co. Ltd. Xinyu338000 China Shanghai University of Electric Power Shanghai200090 China

ISBN: (纸本)9781510681637

Nowadays, most of the 10 kV distribution network cable lines are laid underground in the form of direct burial or casing, and the cable is cut off by the construction machinery, resulting in the accident of line tripping. In the construction of urban construction, third-party external forces such as manual excavation, mechanical excavation and illegal invasion will cause serious damage to underground cables. Therefore, it is of great engineering application value to develop cable marking piles with sound source localization function and find the location of damage points in time. In order to improve the accuracy and effectiveness of positioning, but also to achieve rapid positioning of the source of damage, this paper is based on the sound sensor, using its flexibility, efficiency and timeliness, by controlling the number and location of the sound sensor, combined with the sound intensity to locate the sound source. At the same time, the sound sensor is connected with the number and position of the marking pile, and the traditional cable marking pile is improved to accurately locate the damage source in time. © 2024 SPIE.

关键词： Excavation

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Development and Validation of a Screening Tool for Generalized Anxiety and Major Depressive Disorder in Patients with Chronic Obstructive Pulmonary Disease

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LUNG 2025年第1期203卷 1-12页

作者： Liu, Meishan Yang, xuwen Wang, Dong Fang, Jiexin Li, Boyu An, Li Chang, Yuhan Liu, Haiman Hu, Yongdong huang, Kewu Capital Med Univ Beijing Inst Resp Med Dept Resp & Crit Care Med 8Gongti South Rd Beijing 100020 Peoples R China Capital Med Univ Beijing Chao Yang Hosp 8Gongti South Rd Beijing 100020 Peoples R China Capital Med Univ Beijing Chao Yang Hosp Dept Clin Psychol 8Gongti South Rd Beijing 100020 Peoples R China Capital Med Univ Beijing Chao Yang Hosp Dept Pharm Beijing Peoples R China

PurposeAnxiety and depression are often underdiagnosed in patients with chronic obstructive pulmonary disease (COPD). This study aimed to develop and validate a screening tool for anxiety and depression in COPD *** COPD patients were consecutively recruited from November 2021 to October 2023 and underwent a psychiatric interview to diagnose generalized anxiety disorder (GAD) and/or major depressive disorder (MDD) based on the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition. Patients were split into training and validation sets according to their recruitment time. We assessed known risk factors and used core items from the Patient Health Questionnaire Anxiety and Depression Scale (PHQ-ADS) to develop a prediction nomogram. Multivariable logistic regression with least absolute shrinkage and selection operator (LASSO) were used to construct the *** the enrolled COPD patients (n = 329), 58 (25.6%) in the training cohort and 33 (32.4%) in the validation cohort were diagnosed with GAD and/or MDD. Three variables were identified in the prediction nomogram: COPD Assessment Test score and two core items from PHQ-ADS. The under the curve (AUC) value for the nomogram was 0.826 (95% CI: 0.755-0.897) and 0.855 (95% CI: 0.767-0.942) in the training and validation cohorts, respectively. The calibration curve was close to the diagonal. The discriminatory power of the screening nomogram was comparable to that of PHQ-ADS (AUC: 0.826 vs. 0.831, P = 0.832).ConclusionThe new screening tool for GAD and MDD in COPD patients is concise and valid, with discriminatory power comparable to existing anxiety/depression screening questionnaires.

关键词： Chronic obstructive pulmonary disease Anxiety Depression Screening Nomogram

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2D-Material-Based Volatile and Nonvolatile Memristive Devices for Neuromorphic Computing

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ACS MATERIALS LETTERS 2023年第4期5卷 1109-1135页

作者： Xia, xuwen huang, Wen Hang, Pengjie Guo, Tao Yan, Yong Yang, Jianping Yang, Deren Yu, Xuegong Li, Xing'ao Nanjing Univ Posts & Telecommun NJUPT New Energy Technol Engn Lab Jiangsu Prov Nanjing 210023 Peoples R China Nanjing Univ Posts & Telecommun NJUPT Sch Sci Nanjing 210023 Peoples R China Zhejiang Univ State Key Lab Silicon Mat Hangzhou 310027 Zhejiang Peoples R China Zhejiang Univ Sch Mat Sci & Engn Hangzhou 310027 Zhejiang Peoples R China Univ Waterloo Waterloo Inst Nanotechnol Ctr Adv Mat Joining Dept Mech & Mechatron Engn Waterloo ON N2L 3G1 Canada Henan Normal Univ Sch Phys Henan Key Lab Photovolta Mat Xinxiang 453007 Peoples R China Zhejiang Univ Sci & Technol Sch Sci Hangzhou 310027 Peoples R China

Neuromorphic computing can process large amounts of information in parallel and provides a powerful tool to solve the von Neumann bottleneck. Constructing an artificial neural network (ANN) is a common means to realize neuromorphic computing, which has exhibited potential applications in pattern recognition, complex sensing, and other areas. Reservoir computing (RC), which is another approach to realize neuromorphic computing, has shown some progress and attracted researchers' attention. Neuromorphic computing can be generally implemented by fabricating memristive array systems. 2D-material-based memristive systems and their applications in ANN and RC have been investigated substantially in recent years due to the unique properties of these systems, such as atomic-level thickness and high carrier mobility. In this Review, we first discuss the volatility and nonvolatility properties of memristive devices and their applications in ANN and RC. Second, 2D materials that can be used to fabricate these devices are introduced, and their classification, physical properties, and preparation methods are presented. Third, we discuss the working mechanisms of 2D-material-based synaptic devices, the mimicked synaptic functions, and the applications of these devices in neuromorphic computing through ANN and RC. Lastly, the performance, progress, and future development directions of 2D-material-based synaptic devices are analyzed. This work systematically investigates the status of 2D-material-based synaptic devices and promotes their utilization in neuromorphic computing.

关键词： Electrical conductivity Layers Memristors Polarization Two dimensional materials

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Fatty Infiltration of Multifidus Muscles: An Easily Overlooked Risk Factor for the Severity of Osteoporotic Vertebral Fractures

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ORTHOPAEDIC SURGERY 2024年第3期16卷 585-593页

作者： Xu, Wuyan Liu, Xiaowen Wu, Li Liang, Shaohua Zhang, Ye huang, Junbing Zeng, xuwen Li, Siming Xu, Fan Xiong, Yuchao Jinan Univ Dept Radiol Guangzhou Red Cross Hosp Guangzhou Peoples R China Jinan Univ Dept Orthoped Guangzhou Red Cross Hosp Guangzhou Peoples R China Jinan Univ Clin Med Coll 2 Shenzhen Peoples R China Jinan Univ Guangzhou Red Cross Hosp Dept Radiol Guangzhou 510220 Peoples R China

ObjectivesOsteoporotic vertebral fractures (OVFs) are a critical public health concern requiring urgent attention, and severe OVFs impose substantial health and economic burdens on patients and society. Analysis of the risk factors for severe OVF is imperative to actively prevent the occurrence of this degenerative disorder. This study aimed to investigate the risk factors associated with the severity of OVF, with a specific focus on changes in the paraspinal *** total of 281 patients with a first-time single-level acute OVF between January 2016 and January 2023 were enrolled in the study. Clinical and radiological data were collected and analyzed. The cross-sectional area (CSA) and degree of fatty infiltration (FI) of the paraspinal muscles, including the multifidus muscles (MFMs), erector spinae muscles (ESMs), and psoas major muscles (PSMs), were measured by magnetic resonance imaging (MRI) of the L4/5 intervertebral discs. According to the classification system of osteoporotic fractures (OF classification) and recommended treatment plan, OVFs were divided into a low-grade OF group and a high-grade OF group. Univariate and multivariate logistic regression analyse s were performed to identify risk factors associated with the severity of ***-eight patients were included in the low-grade OF group, and 183 patients were included in the high-grade OF group. Univariate analysis revealed a significantly higher incidence of a high degree of FI of MFMs (OR = 1.71, p = 0.002) and ESMs (OR = 1.56, p = 0.021) in the high-grade OF group. Further multivariate logistic regression analysis demonstrated that a high degree of FI of the MFMs (OR = 1.71, p = 0.002) is an independent risk factor for the severity of *** high degree of FI of the MFMs was identified as an independent risk factor for the severity of OVF. Decreasing the degree of FI in the MFMs might lower the incidence of the severity of OVF, potentially reducing the necessity for s

关键词： Fatty Infiltration Osteoporosis Multifidus Muscles Osteoporotic Vertebral Fracture

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Multi-scale Feature Fusion Extraction Structure for the Leather Defect Detection Algorithm 6

Multi-scale Feature Fusion Extraction Structure for the Leat...

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6th IEEE International Conference on Pattern Recognition and Artificial Intelligence, PRAI 2023

作者： He, xuwen Li, Hao huang, Zihan Xiong, Xiaorui Liu, Yifan Yao, Yuting Wuhan Polytechnic University School of Mathematics and Computer Science Wuhan China

ISBN: (纸本)9798350325485

Detection of surface defects using computer vision is a pivotal technology for achieving intelligent manufacturing. Leather products are one of the most widely traded goods in the world, and automatic identification, localization, and detection of surface defects in leather are indispensable for achieving intelligent manufacturing of leather products. This research paper proposes FG-DETR, a multi-scale feature fusion extraction structure for small target detection algorithms. Given the recent success of deep learning methods in various related fields and that certain defects and flaws in leather pictures in our dataset are relatively small. FG-DETR is based on DETR with some improvements as follows, Initially, DETR's ResNet50 network performs feature extraction on the original image and produces four scales of feature maps. Second, we apply a modified Feature Pyramid Network (FPN) to downsample and upsample the four scales of feature maps, followed by the fusion and output of a single feature map. A Gaussian kernel and output then process the fused feature maps as the final feature maps. Finally, the feature maps are merged with the position encoding information and combined into the Transformer encoder-decoder architecture, resulting in the detection outcomes through the Position-wise Feed-Forward Networks (FFN). In our leather dataset, the FG-DETR model is more effective in detecting small targets than DETR, as our leather images are large, and the original DETR is nearly ineffective for images with relatively small defects. The average detection accuracy of medium and large targets also improved, with a 7.6 percentage point improvement at AP50. The experimental findings demonstrate that the multi-scale feature fusion extraction structure significantly enhances the detection accuracy of DETR. © 2023 IEEE.

关键词： Computer vision

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