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国际内分泌代谢杂志 2020年第3期40卷 197-200页

作者：李怡婧郭立新李绪文青岛大学附属医院营养科 266000 北京医院内分泌科 100730 青岛大学附属医院创伤外科 266000

孕产妇妊娠期增重越来越受到医护人员的关注。2009年美国医学研究所推出了妊娠期体重增加的推荐意见,指导孕前消瘦、正常体重、超重、肥胖的孕妇在妊娠期合理增重。妊娠期体重不适当增加对于孕产妇及新生儿均有不利影响,并与糖代谢异常... 详细信息

孕产妇妊娠期增重越来越受到医护人员的关注。2009年美国医学研究所推出了妊娠期体重增加的推荐意见,指导孕前消瘦、正常体重、超重、肥胖的孕妇在妊娠期合理增重。妊娠期体重不适当增加对于孕产妇及新生儿均有不利影响,并与糖代谢异常存在联系。妊娠期增重过多可增加孕妇妊娠期合并症、剖宫产、孕产妇远期代谢性疾病以及新生儿大于胎龄儿、巨大儿风险。妊娠期增重不足可引起孕妇早产风险、新生儿低体重儿、小于胎龄儿风险增加。临床工作者应根据孕产妇孕前体重指数确定孕妇妊娠期合理增重速度,制定相应的管理措施。

关键词：妊娠期增重肥胖糖代谢妊娠结局出生体重

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Fuzzy Hybrid Coyote Optimization Algorithm for Image Thresholding

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Computers, Materials & Continua 2022年第8期72卷 3073-3090页

作者： linguo li xuwen Huang Shunqiang Qian Zhangfei li Shujing li Romany F.Mansour School of Computer Nanjing University of Posts and TelecommunicationsNanjing210003China School of Computer and Information Engineering Fuyang Normal UniversityFuyang236041China Department of Mathematics Faculty of ScienceNew Valley UniversityEl-Kharga72511Egypt

In order to address the problems of Coyote Optimization Algorithm in image thresholding,such as easily falling into local optimum,and slow convergence speed,a Fuzzy Hybrid Coyote Optimization Algorithm(here-inafter referred to as FHCOA)based on chaotic initialization and reverse learning strategy is proposed,and its effect on image thresholding is *** chaotic initialization,the random number initialization mode in the standard coyote optimization algorithm(COA)is replaced by chaotic *** sequence is nonlinear and long-term unpredictable,these characteristics can effectively improve the diversity of the population in the optimization ***,in this paper we first perform chaotic initialization,using chaotic sequence to replace random number initialization in standard *** combining the lens imaging reverse learning strategy and the optimal worst reverse learning strategy,a hybrid reverse learning strategy is then *** the process of algorithm traversal,the best coyote and the worst coyote in the pack are selected for reverse learning operation respectively,which prevents the algorithm falling into local optimum to a certain extent and also solves the problem of premature *** on the above improvements,the coyote optimization algorithm has better global convergence and computational *** simulation results show that the algorithmhas better thresholding effect than the five commonly used optimization algorithms in image thresholding when multiple images are selected and different threshold numbers are set.

关键词： Coyote optimization algorithm image segmentation multilevel thresholding logistic chaotic map hybrid inverse learning strategy

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ConTra: A Covert Timing Channel Detection Approach for little Covert Information in a Network 23

ConTra: A Covert Timing Channel Detection Approach for Littl...

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4th International Conference on Computing, Networks and Internet of Things, CNIOT 2023

作者： li, Zhiqiang Chen, Yonghong Teng, Zhan Huang, xuwen School of Computer Science and Technology Huaqiao University Xiamen Fujian China Xiamen Key Laboratory of Data Security and Blockchain Technology Huaqiao University Xiamen Fujian China

ISBN: (纸本)9798400700705

A covert timing channel is a technical means that enables information hiding and covert communication. Due to the fact that covert timing channels can elude detection by security defence measures, they offer a substantial security risk to the information of Internet users when they are exploited for illicit reasons. The attacker sends at a low rate to ensure the stealthiness of the covert timing channel communication process, making the number of inter-arrival time encoded as covert information much less than the normal number of inter-arrival time, resulting in the low detection accuracy of existing detection methods. In this paper, we propose a covert timing channel detection method based on one-dimensional convolution and self-attention mechanism. The method begins with local feature extraction of the input inter-arrival time sequence by a one-dimensional convolutional layer, then characterizes the correlation between each inter-arrival time by a self-attention mechanism in the encoder, and finally through the full connection layer to produce the type output. In this study, experimental results on a public dataset and 16 self-built datasets demonstrate that the detection method delivers optimal detection results and efficient detection of covert information in low-volume communications. © 2023 ACM.

关键词： Optimal detection

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A highly sensitive one-step nanobody-based immunoassay to specifically detect antibodies against fowl adenovirus serotype 4

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POULTRY SCIENCE 2025年第4期104卷 104970页

作者： Ji, Pinpin Zhang, Hao Xiri, Yangzong li, Ziling liu, Zhixiang Dan, Miao li, Xiaoxuan Sun, xuwen Zhao, Qin Sun, Yani Northwest A&F Univ Coll Vet Med Dept Prevent Vet Med Yangling 712100 Shaanxi Peoples R China Minist Agr Sci Observing & Expt Stn Vet Pharmacol & Diagnost Yangling 712100 Shaanxi Peoples R China

Hepatitis-hydropericardium syndrome, caused by fowl adenovirus serotype 4 (FAdV-4), has resulted in significant economic damage to the poultry industry. To monitor viral exposure and vaccine efficacy, some traditional antibody-based immunoassays have been developed for detecting anti-FAdV-4 antibodies. However, these assays have some drawbacks including multi-step operations and higher production cost. Recently, nanobodies are regarded as a promising tool for developing immunoassays. In the study, 23 nanobodies against FAdV-4 were screened and expressed with horseradish peroxidase (HRP) in the HEK293T cells. Then, the FAdV-4-Nb28-HRP fusion protein was selected for developing competitive enzyme-linked immunoassays (cEliSA) to detect antiFAdV-4 antibodies in the chicken sera. The optimal concentrations and dilutions for the coating antigen, fusion protein and testing sera were determined to be 400 ng/well, 1:80 and 1:20, respectively. After the coated plates were vacuumized and stored, the operation of cEliSA to detect clinical chicken sera was only one-step and the full time was 75 min. The cEliSA also exhibited high sensitivity, specificity, reproducibility and good agreement with the commercial EliSA kit. When the sequential sera from the challenged chickens were tested, the cEliSA showed superior sensitivity compared with the commercial EliSA kit. Moreover, epitope mapping revealed that the nanobody specifically recognized the sites GLN235 ASN236 SER238 of the fiber-1 protein, highly conserved among different FAdV-4 isolates and different from the FAdV-1 and-8. The results indicated that cEliSA can specifically detect anti-FAdV-4 antibodies. Collectively, the developed one-step nanobody-based cEliSA is an ideal method for epidemiological investigation and vaccine immune evaluation of FAdV-4.

关键词： Nanobody One-step competitive EliSA FAdV-4 antibodies Fiber-1 protein

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Monitoring and numerical analysis of slope deformation in a coal mine in the southwest mountainous regions of China

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NATURAL HAZARDS 2025年第6期121卷 6955-6979页

作者： Tian, xuwen Yao, Xin Tao, Tao Iqbal, Javed Ren, Kaiyu Zhou, Zhenkai Yao, Chuangchuang li, Qiyu li, lingjing Gu, Zhenkui Chinese Acad Geol Sci Inst Geomech Beijing 100081 Peoples R China Minist Nat Resources Key Lab Act Tecton & Geol Safety Beijing 100081 Peoples R China China Geol Survey Res Ctr Neotectonism & Crustal Stabil Beijing 100081 Peoples R China Univ Haripur Dept Earth Sci Haripur 22620 Pakistan Chinese Acad Sci China Pakistan Joint Res Ctr Earth Sci Islamabad Pakistan

As underground coal mining activities are increasing in the southwestern mountainous areas of China, the geological safety issues related to ground subsidence and slope deformation have emerged as significant concerns. These issues have started to impact the routine mining operations. Monitoring deformation and analyzing the mechanical behavior of mining areas can help reveal the deformation patterns at surface level and on typical slopes in mountainous coalfields, ultimately reducing the risk of landslides. Taking the Guangfeng coal mine as a case study, this paper employs Interferometric Synthetic Aperture Radar (InSAR) and numerical simulation to analyze the influence of surface deformation caused by underground mining activities on slope deformation. The InSAR results indicate the presence of two distinct subsidence areas, labeled as I and II. The maximum annual subsidence rate in area I reaches 72 mm/a, while area II shows an annual deformation rate of 59 mm/a. The subsidence around the mined-out area has triggered sliding deformation in the slopes, which aligns with the numerical simulation results obtained from the fast Lagrangian analysis of continua in three dimensions (FLAC3D). As mining advances further into the working face, greater tensile stress develops at the rear edge of the slope, causing the subsidence at the center of surface which gradually shifts towards the top of the slope. The process of slope deformation related to underground coal mining in mountainous regions can be divided into four stages: the original slope stage, the early stage of underground mining, the evolution stage of composite slope deformation, and the stage of increased surface subsidence in the slope. By combining InSAR technology with FLAC3D numerical simulations, surface movements in mountainous mining areas can be accurately and reliably monitored and analyzed. This approach provides effective guidance for deformation monitoring and prediction of slope stability in mining

关键词： Underground mining in mountain area InSAR Subsidence monitoring Numerical simulation Slope deformation

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Anti-allergic activity of 3, 5, 6, 7, 8, 3, 4-heptamethoxyflavone extracted from Citri Reticulatae Pericarpium

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SPECTROSCOPY LETTERS 2018年第5期51卷 236-243页

作者： Shi Xiaolei Wang Bo Zhang Lu Wang Ying Yang Jie li xuwen Jin Yongri Jilin Univ Coll Food Sci & Engn Changchun Jilin Peoples R China Jilin Univ Coll Chem Changchun 130012 Jilin Peoples R China

The inhibitory activity of 3, 5, 6, 7, 8, 3, 4-heptamethoxyflavone extracted from Citri Reticulatae Pericarpium on RBL-2H3 cells degranulation was done by two different methods. At low concentration, the values of inhibition obtained by modified method were much larger than that of the classical method. Spectroscopic measurements and molecular docking calculation were applied to study the mechanism. It was induced by interaction between flavonoid and immunoglobulin E. Compared with the interaction between antibody and receptor, the force was weak, the inhibitory effect on -hexosaminidase release was strong, with some structural changes to the antibody.

关键词： Anti-allergic activity IgE inhibition RBL-2H3 spectroscopic method Flavonoid 3 5 6 7 8 3 4-heptamethoxyflavone 3D fluorescence spectra three-dimensional fluorescence spectra

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Maize kernel damage dynamic prediction in threshing through PSO-LSTM and discrete element modelling

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BIOSYSTEMS ENGINEERING 2024年 242卷 179-195页

作者： Fang, xuwen Zhang, Jinsong Zhao, Xuelin Zhang, Qiang Zhang, li Zhou, Deyi Yu, Chunsheng Hu, Wei Wang, Hao Jilin Univ Coll Biol & Agr Engn Changchun 130022 Peoples R China

This study presents the development of a maize ear model and a predictive approach for kernel damage in maize threshing, integrating physical simulation and predictive analytics to understand better and forecast threshingrelated damage. First, a maize ear model was developed to analyse kernel damage during threshing. Through the angle of repose experiments, the optimal number of spheres for the kernel model was established as 65. Tensile tests were conducted to evaluate the kernel-cob bond strength, revealing an average relative error in the bonding force of 8.71%. Vogel impact energy modelling was applied to the kernel threshing process to determine kernel damage. The correlation between the speed of seed grain movement and the occurrence of damage was analysed by post-processing to identify locations with frequent kernel damage in the drum. In-depth data analysis of kernel damage in the threshing drum further elucidates the inherent relationship between kernel velocity and damage extent. The study then focused on applying neural networks to predict damage rates. The comparative evaluation shows that the PSO-LSTM model has better prediction accuracy than LSTM and RNN models, with the PSO-LSTM network achieving an RMSE of 0.096, a R2 of 99.96%, and a final damage rate of 2.41% in validation tests. Threshing experiments were conducted to verify the model, showing a 1.4% discrepancy between predicted and actual damage rates. This study proposes a kernel damage prediction model and provides new insights and directions for the structural design of threshing drums.

关键词： Maize threshing Kernel damage prediction Machine learning in agriculture Agricultural automation LSTM network

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IVDETR: A Multi-Source Image Pig Detection Method Based on Cross-Domain Feature Fusion 7

IVDETR: A Multi-Source Image Pig Detection Method Based on C...

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7th International Conference on Pattern Recognition and Artificial Intelligence, PRAI 2024

作者： Song, Rui li, Hao Huang, Mengzhen Huang, Zihan li, Peng He, xuwen Wuhan Polytechnic University School of Mathematics and Computer Science Wuhan China

ISBN: (纸本)9798350350890

In large-scale centralised pig farming, object detection algorithms can accurately track and monitor each pig. However, a significant proportion of current detection methods are based on visible images, and the colour differences between different pig breeds limit the applicability of the models. Furthermore, complex background interference, low illumination conditions, or high illumination intensity noise in visible scenes can likewise lead to reduced accuracy during detection. Therefore, we propose a cross-domain encoder based on the self-attention and design the IVDETR model, which integrates features from infrared and visible light images for pig object detection. In order to facilitate the training and evaluation of the model, we constructed a comprehensive, standardised infrared-visible light dataset for the first time. The experimental outcomes demonstrated that the detection accuracy was increased from 0.939 to 0.998 in a real pig breeding environment. © 2024 IEEE.

关键词： Mammals

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A Novel and High-Efficiency Approach to Improve the Sustainability of Agitation Leaching Technology to Refractory Copper Oxide Ore Using the Self-Pressurizing Technology

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JOURNAL OF SUSTAINABLE METALLURGY 2025年 1-17页

作者： Wang, Jian Zeng, Xin liu, xuwen Xu, Wenlong Pan, Yue li, Jinhui Wang, Ruixiang Xiao, Yanfei Xu, Zhifeng Jiangxi Prov Key Lab Green & Low Carbon Met Strate Ganzhou 341000 Peoples R China Jiangxi Univ Sci & Technol Sch Met Engn 86 Hongqi Ave Ganzhou 341000 Peoples R China Ganzhou Engn Technol Res Ctr Green Met & Proc Inte Ganzhou 341000 Peoples R China Nanchang Univ Sch Phys & Mat Sci Nanchang 330031 Peoples R China Tibet Yulong Copper Co Ltd 22 West City Rd Chengdu 854000 Peoples R China Jiangxi Coll Appl Technol 9 Wenfeng Rd Ganzhou 341000 Peoples R China Minist Nat Resources Key Lab Ion Rare Earth Resources & Environm Ganzhou 341000 Peoples R China

Considering economics and environmental protection, the agitation leaching technology using sulfuric acid is considered a preferred alternative to recover copper oxide ores in the copper industry. However, this process is still extremely difficult to extract copper from some complex polymetallic and refractory oxide ores, such as copper oxide ores with high alkalinity gangues (HAG) and high binding rates (HBR), respectively. In this paper, a novel and high-efficiency extraction process involving agitation leaching with self-pressurizing technology at low temperatures is proposed to improve copper extraction of the refractory HAG and HBR copper oxide ores from Tibet. Under the self-pressurizing agitation leaching process, the effects of leaching parameters are investigated on copper extraction and other elements dissolution including aluminum, arsenic, and iron, respectively. The results show that the self-pressurizing leaching technology of complex copper oxide ores has some advantages, including relatively simple to apply, environmentally friendly, energy-saving, and high efficiency, especially the higher copper extraction (more than 98.0%) over the conventional agitation leaching process in the sulfuric acid media. Under optimum experimental conditions of mass ratio of copper oxide ores of 5:5, agitation speed of 400 rpm, initial sulfuric acid concentration of 4.0 mol/L, and leaching time of 60 min at 80 degrees C, the copper extraction reached 98.9%, while the maximum average pressure reached 1.31 MPa in the closed reaction vessel. The self-pressurizing leaching technology can significantly improve the adaptability of the conventional agitation leaching technology to the refractory copper oxide ore without adding the other reagent.

关键词： Self-driven pressurization Agitation leaching Copper oxide ores Low temperature

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Determination of common ginsenosides in Kang'ai injection by aqueous two-phase extraction with deep eutectic solvents and HPLC-UV/DAD

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MICROCHEMICAL JOURNAL 2018年 137卷 302-308页

作者： li, Peng Zhao, Pengyun liu, Weijie Jiang, Yifu Wang, Wenjiao Bao, Longyue Jin, Yongri li, xuwen Jilin Univ Coll Chem Changchun 130012 Jilin Peoples R China

In this work, four kinds of deep eutectic solvents (DESs), composed of choline chloride (ChCl) and several alcohols, were synthesized and characterized by H-1 NMR and FT-IR spectra. Based on DES ( ChCl and 1,4-butanediol) and inorganic salt solution (dipotassium phosphate, K2HPO4), aqueous two-phase system (ATPS) coupled with high-performance liquid chromatography has been developed and applied. This method was used for the efficient extraction and determination of eight common ginsenosides (including ginsenoside Rg(1), Re, Rf, Rg(2), Rc, Rb-2 and Rd) in the traditional Chinese medicine injection named Kang'ai injection. To achieve optimum extraction performance, the experimental conditions were optimized, including type and amount of DES and salt, ultrasound time, temperature and pH value. In the dynamic linearity range, experimental results showed satisfactory recoveries of analytes ranging from 92.7-110.8% with the relative standard deviations (RSDs) ranging from 1.2-3.9%. It has been proved that DES-ATPS has great potential for determination of active ingredients in traditional Chinese medicine injection as well as samples in other analytical science field. (C) 2017 Elsevier B.V. All rights reserved.

关键词： Aqueous two-phase system Ginsenosides High-performance liquid chromatography Kang'ai injection

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