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International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications (MAPE)

作者： Chen Xiaoting zhao Guodong Jin Ping Gong Wenbin Liu huijie Liang xuwen Shanghai Institute of Micro-system and Information Technology Chinese Academy and Sciences Shanghai China

The effect of IF (intermediate frequency) analog AGC on QPSK/OQPSK signal detection is evaluated for LEO satellite system where Doppler drift, large dynamic range of signal power and low Eb/No condition are difficult to deal with. The way of setting reference value of logarithmic power based AGC is discussed. Coherent accumulation and non-coherent accumulation are used for detecting, while signal's PDF and performance vs. accumulation times are derived mathematically. Experiment shows that with 60 KHz Doppler offset, Eb/No=0dB under QPSK/OQPSK, only 16 bits was consumed to detect the signal with 99.9% detection probability and 0.1% false alarm probability.

关键词： Quadrature phase shift keying Signal detection Low earth orbit satellites Detectors Dynamic range Frequency synchronization Microwave antennas Satellite antennas Antennas and propagation Microwave propagation

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Gradient tumor microenvironment-promoted penetrating micelles for hypoxia relief and immunosuppression reversion in pancreatic cancer treatment

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ACTA BIOMATERIALIA 2023年第1期167卷 387-400页

作者： Luo, Yifan Li, Chao Zhang, Yiwen Liu, Peixin Chen, Hongyi zhao, Zhenhao Wang, Yu Zhou, Zheng Song, Haolin Su, Boyu Li, Chufeng Li, xuwen Zhang, Tongyu You, Haoyu Wu, Yuxing Tian, Zonghua Zhang, Shilin Guo, Yun Fan, Hongrui Chen, Qinjun Jiang, Chen Sun, Tao Fudan Univ Minhang Hosp Sch Pharm Dept Pharmaceut Shanghai 201203 Peoples R China Fudan Univ MOE Frontiers Ctr Brain Sci Shanghai 201203 Peoples R China

The tumor microenvironment of pancreatic ductal adenocarcinoma (PDAC) is the main block for the penetration of chemotherapy. In the tumor microenvironment, a dense matrix composed of fibrin is formed on the exterior, while the interior is featured by high reduction, hypoxia and low pH. How to match the special microenvironment to on-demand drug release is the key to improve chemotherapeutic efficacy. Herein, a microenvironment-responsive micellar system is developed to deepen tumoral penetration. Briefly, the conjugation of a fibrin-targeting peptide to PEG-poly amino acid has been utilized to achieve accumulation of micelles in the tumor stroma. By modification of micelles with hypoxia-reducible nitroimidazole which becomes protonated under acidic conditions, their surface charge is more positive, facilitating deeper penetration into tumors. Paclitaxel was loaded onto the micelles via a disulfide bond to enable glutathione (GSH)-responsive release. Therefore, the immunosuppressive microenvironment is relived through the alleviation of hypoxia and depletion of GSH. Hopefully, this work could establish paradigms by designing sophisticated drug-delivery systems to tactfully employ and retroact the tamed tumoral microenvironment to improve the therapeutic efficacy based on understanding the multiple hallmarks and learning the mutual regulation.

关键词： Pancreatic cancer Penetration Nitroimidazole Tumor hypoxia Gemcitabine

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基于CNN与LightGBM的入侵检测研究

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郑州大学学报（理学版） 2023年第6期55卷 35-40页

作者：魏明军闫旭文纪占林陈钊华北理工大学人工智能学院河北唐山063210 华北理工大学河北省工业智能感知重点实验室河北唐山063210

网络入侵检测少数类样本不仅自身准确率和召回率低,而且还影响整体准确率和召回率。针对此问题,提出一种基于生成式对抗网络(GAN)、卷积神经网络与LightGBM相结合的算法。首先,使用降噪变分自动编码器改进GAN,以实现对不平衡数据集的处... 详细信息

网络入侵检测少数类样本不仅自身准确率和召回率低,而且还影响整体准确率和召回率。针对此问题,提出一种基于生成式对抗网络(GAN)、卷积神经网络与LightGBM相结合的算法。首先,使用降噪变分自动编码器改进GAN,以实现对不平衡数据集的处理。其次,使用卷积注意力机制改进残差卷积神经网络,更好地提取数据的关键特征。最后,利用LightGBM集成学习算法对处理后的数据集进行分类。实验结果表明,在NSL-KDD测试集上,改进后算法的准确率、召回率、精确率和F1值均有提高。该模型缓解了少数类样本对模型分类带来的负面影响,具有良好的分类性能。

关键词：入侵检测生成式对抗网络卷积神经网络 LightGBM

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EN-183 Remote postconditioning protects against focal ischemia in rats

EN-183 Remote postconditioning protects against focal ischem...

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第十二届全国神经病学学术会议

作者： Chuancheng Ren Zhimin Yan Dingtai Wei xuwen Gao Xiaoyuan Chen Heng zhao Department of Neurology Shanghai No.5 hospitalShanghai Medical SchoolFudan UniversityShanghaiChina Departments of NeurosurgeryRadiology and Stanford Stroke CenterStanford UniversityCAUSA Ningde HospitalFujianChina

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Influence of coded mask rotation speed and central detector to imaging performance for time-encoded imager

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RADIATION PHYSICS AND CHEMISTRY 2023年第1期209卷

作者： zhao, Dong Jia, Wenbao Hei, Daqian Liang, xuwen Cheng, Wei Cai, Pingkun Zhang, Ronghua Shan, Qing Ling, Yongsheng Nanjing Univ Aeronaut & Astronaut Dept Nucl Sci & Technol Nanjing 211106 Peoples R China Lanzhou Univ Sch Nucl Sci & Technol Lanzhou 730000 Peoples R China Jiangsu Higher Educ Inst Collaborat Innovat Ctr Radiat Med Suzhou 215000 Peoples R China

Time-encoded imaging could be useful for searching potential radioactive sources for preventing illicit trans-portation and trafficking of nuclear materials. A 2-D, dual-particle, time-encoded imager was developed for gamma-ray and neutron source imaging. The influence of central detector and coded mask rotation speed to imaging performance, such as angular resolution, signal-to-noise ratio and detection time, was investigated by Am-Be neutron source imaging experiments. The EJ276 plastic scintillator (Size: phi 5.08 cm x 5.08 cm) and CLYC scintillator (Size: phi 2.54 cm x 2.54 cm) couple to photomultiplier tubes was set as the central detector, respectively. Under the experiment conditions (Am-Be neutron source;300 mCi;1.8 m), for the neutron and gamma-ray images with EJ276 detector, the best horizontal and vertical angular resolution was (3.7 degrees, 4.8 degrees) and (5.9 degrees, 6.6 degrees), minimum detection time was 100 s and 600 s, respectively;for the neutron and gamma-ray images with CLYC detector, the best horizontal, vertical angular resolution was (3.1 degrees, 3.1 degrees) and (3.5 degrees, 3.3 degrees), minimum detection time was 2200 s and 1600 s, respectively. For different central detector, the results showed that the smaller volume of detector, the better angular resolution;the lower detection efficiency, the longer detection time. For different rotation speed, too fast rotation speed can lead to failure to locate the source.

关键词： Time-encoded imager Dual-particle imaging Imaging performance

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Leather Defect Detection Algorithm Based on an Improved YOLOv5s

Leather Defect Detection Algorithm Based on an Improved YOLO...

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Pattern Recognition and Artificial Intelligence (PRAI), International Conference on

作者： xuwen He Hao Li Yifan Liu Rui Song Yuchen zhao Xiao Ou School of Mathematics and Computer Science Wuhan Polytechnic University Wuhan China

ISBN: (数字)9798350350890

ISBN: (纸本)9798350350906

In the field of intelligent manufacturing, the realization of efficient and accurate automated surface defect detection is particularly critical for enhancing product quality, especially in the leather industry, which holds a significant position in global trade. Traditional defect detection methods encounter challenges in handling complex scenes and identifying minute defects. However, the advent of deep learning technologies has provided a new pathway to address these issues. This paper is dedicated to innovative research on the precise localization and detailed classification of leather surface defects through the enhancement of deep learning models, aiming to overcome the limitations of existing technologies and improve the accuracy and efficiency of detection. By extending the YOLOv5s model, this study has developed the CMR-YOLO algorithm. This algorithm integrates the Channel Attention mechanism (CA), an improved Multi-Dimensional Precision Intersection over Union (MPDIoU), and the Cross Stage Partial Residual feature enhancement module (C3R). These enhancements not only improve the classification accuracy but also bolster the model's stability and robustness in complex scenes. Through the comprehensive application of these techniques, the CMR-YOLO algorithm demonstrates improved performance in categorizing different types of leather defects, particularly effective in handling diverse defect characteristics and accurately classifying various defects. Compared to the traditional YOLOv5s, the CMR-YOLO algorithm also exhibits improved accuracy in defect classification, with the mAP50 increasing from 62.5% to 79.5%, effectively enhancing the overall performance of leather defect detection. These research outcomes not only achieve technological breakthroughs but also provide significant technical support for quality control and intelligent manufacturing in the leather goods industry.

关键词： YOLO Industries Deep learning Accuracy Attention mechanisms Prediction algorithms Robustness Classification algorithms Manufacturing Defect detection

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Effect of planting salt-tolerant legumes on coastal saline soil nutrient availability and microbial communities

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JOURNAL OF ENVIRONMENTAL MANAGEMENT 2023年第1期345卷 118574页

作者： Zheng, Yanfen Cao, xuwen Zhou, Yanan Li, Zhe Yang, Yanzhe zhao, Donglin Li, Yiqiang Xu, Zongchang Zhang, Cheng-Sheng Chinese Acad Agr Sci Tobacco Res Inst Marine Agr Res Ctr Qingdao 266101 Peoples R China Shandong Univ Inst Marine Sci & Technol Qingdao 266200 Peoples R China Natl Ctr Technol Innovat Comprehens Utilizat Salin Dongying 257300 Peoples R China

Soil salinization is a serious global environmental problem affecting sustainable development of agriculture. Legumes are excellent candidates for the phytoremediation of saline soils;however, how soil microbes mediate the amelioration of coastal saline ecosystems is unknown. In this study, two salt-tolerant legumes, Glycine soja and Sesbania cannabina were planted in coastal saline soil for three years. Soil nutrient availability and microbiota structure (including bacteria, fungi, and diazotrophs) were compared between the phytoremediated soils and control soil (barren land). Planting legumes reduced soil salinity, and increased total carbon, total nitrogen, and NO3  -N contents. Among the soil microbiota, some nitrogen-fixing bacteria (e.g., Azotobacter) were enriched in legumes, which were probably responsible for soil nitrogen accumulation. The complexity of the bacterial, fungal, and diazotrophic networks increased significantly from the control to the phytoremediated soils, suggesting that the soil microbial community formed closer ecological interactions during remediation. Furthermore, the dominant microbial functions were chemoheterotrophy (24.75%) and aerobic chemoheterotrophy (21.97%) involved in the carbon cycle, followed by nitrification (13.68%) and aerobic ammonia oxidation (13.34%) involved in the nitrogen cycle. Overall, our findings suggested that G. soja and S. cannabina legumes were suitable for ameliorating saline soils as they decreased soil salinity and increased soil nutrient content, with microorganisms especially nitrogen-fixing bacteria, playing an important role in this remediation process.

关键词： Phytoremediation Saline soil Nitrogen Microbial community Salt-tolerant legume

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Fe-Mn-Cu-Ce/Al2O3 as an efficient catalyst for catalytic ozonation of bio-treated coking wastewater: Characteristics, efficiency, and mechanism

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ARABIAN JOURNAL OF CHEMISTRY 2023年第1期16卷

作者： Yuan, Run Qin, Yihe He, Can Wang, Zichen Bai, Lu zhao, Hong Jiang, Zijian Meng, Lingyao He, xuwen China Univ Min & Technol Beijing Dept Chem & Environm Engn Beijing 100083 Peoples R China Beijing Acad Sci & Technol Inst Resources & Environm Beijing 100089 Peoples R China

It is important to develop a catalyst that has high catalytic activity and can improve the degradation efficiency of refractory organic pollutants in the catalytic ozonation process. In this study, Fe-Mn-Cu-Ce/Al2O3 was synthesised via impregnation calcination for catalytic ozonation of bio-treated coking wastewater. The physical and chemical characteristics of the catalysts were analysed using X-ray diffraction (XRD), X-ray fluorescence spectrometry (XRF), X-ray photoelec-tron spectroscopy (XPS), scanning electron microscopy (SEM), and Brunauer-Emmett-Teller nitrogen adsorption-desorption methods. The effects of catalyst dosage, pH, and reflux ratio on the degradation efficiency of wastewater were examined in laboratory-scale experiments. The chem-ical oxygen demand (COD) removal rate of bio-treated coking wastewater was estimated to be 52.76 % under optimal conditions. The experiments on the catalytic mechanism demonstrated that the surface hydroxyl formed by the Lewis acid sites on the surface of the catalyst can react with ozone as the active site forming the active oxygen (center dot OH, .O2-, and 1O2), thereby efficiently degrading the organic pollutants in coking wastewater. Furthermore, a pilot-scale experiment on the catalytic ozonation of bio-treated coking wastewater was carried out using an Fe-Mn-Cu-Ce/Al2O3 catalyst, while the effects of the initial pollutant concentration, ozone concentration, and gas flow on the COD removal rate were studied on a pilot scale. It was found that the COD removal rate of the wastewater was ti 60 % under optimal parameters. After the treatment, the wastewater steadily reached the coking wastewater discharge standard (COD < 80 mg/L), while the operating cost of catalytic ozonation reached ti 0.032$/m3, thereby paving the way toward economic engineering applications. The COD degradation kinetics in the bio-treated coking wastewater followed pseudo -second-order kinetics. Three-dimensional fluorescence and gas chromatography-

关键词： Fe-Mn-Cu-Ce Catalytic ozonation Coking wastewater Catalytic mechanism Pilot-scale study

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Functional characterization of TBL genes revealed the role of GhTBL7 and GhTBL58 in cotton fiber elongation

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INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES 2023年第1期241卷 124571页

作者： Kabir, Nosheen Wang, xuwen Lu, Lili Qanmber, Ghulam Liu, Le Si, Aijun Zhang, Lian Cao, Wei Yang, Zuoren Yu, Yu Liu, zhao Zhengzhou Univ Sch Agr Sci State Key Lab Cotton Biol Zhengzhou Res Base Zhengzhou 450001 Henan Peoples R China Chinese Acad Agr Sci Inst Cotton Res State Key Lab Cotton Biol Anyang 455000 Henan Peoples R China Xinjiang Acad Agr & Reclamat Sci Cotton Res Inst Key Lab China Northwestern Inland Reg Minist Agr & Rural Affairs Shihezi 832003 Peoples R China Chinese Acad Agr Sci Western Agr Res Ctr Changji 831100 Peoples R China

TBL (Trichome Birefringence Like) gene family members are involved in trichome initiation and xylan acetylation in several plant species. In our research, we identified 102 TBLs from G. hirsutum. The phylogenetic tree classified TBL genes into five groups. Collinearity analysis of TBL genes indicated 136 paralogous gene pairs in G. hirsutum. Gene duplication indicated that WGD or segmental duplication contributed to the GhTBL gene family expansion. Promoter cis-elements of GhTBLs were related to growth and development, seed-specific regulation, light, and stress responses. GhTBL genes (GhTBL7, GhTBL15, GhTBL21, GhTBL25, GhTBL45, GhTBL54, GhTBL67, GhTBL72, and GhTBL77) exhibited upregulated response under exposure to cold, heat, NaCl, and PEG. GhTBL genes exhibited high expression during fiber development stages. Two GhTBL genes (GhTBL7 and GhTBL58) showed differential expression at 10 DPA fiber, as 10 DPA is a fast fiber elongation stage and fiber elongation is a very important stage of cotton fiber development. Subcellular localization of GhTBL7 and GhTBL58 revealed that these genes reside inside the cell membrane. Promoter GUS activity of GhTBL7 and GhTBL58 exhibited deep staining in roots. To further validate the role of these genes in cotton fiber elongation, we silenced these genes and observed a significant reduction in the fiber length at 10 DPA. In conclusion, the functional study of cell membrane-associated genes (GhTBL7 and GhTBL58) showed deep staining in root tissues and potential function during cotton fiber elongation at 10 DPA fiber.

关键词： G hirsutum TBL Fiber development Phylogenetic analysis Gene silencing

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TXNIP inhibition in the treatment of type 2 diabetes mellitus: design, synthesis, and biological evaluation of quinazoline derivatives

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JOURNAL OF ENZYME INHIBITION AND MEDICINAL CHEMISTRY 2023年第1期38卷 Article: 2166937页

作者： Li, Aiyun Guan, Li Su, Wanzhen zhao, Ning Song, xuwen Wang, Jin Tang, Xiaoxiao Li, Weize Jiao, Xiangying Shanxi Med Univ Key Lab Cellular Physiol Minist Educ Taiyuan 030001 Peoples R China Shanxi Med Univ Dept Physiol Taiyuan 030001 Peoples R China Xian Med Univ Coll Pharm Xian 710021 Peoples R China

Thioredoxin interacting protein (TXNIP) is a potential drug target for type 2 diabetes mellitus (T2DM) treatment. A series of quinazoline derivatives were designed, synthesised, and evaluated to inhibit TXNIP expression and protect from palmitate (PA)-induced beta cell injury. In vitro cell viability assay showed that compounds D-2 and C-1 could effectively protect beta cell from PA-induced apoptosis, and subsequent results showed that these two compounds decreased TXNIP expression by accelerating its protein degradation. Mechanistically, compounds D-2 and C-1 reduced intracellular reactive oxygen species (ROS) production and modulated TXNIP-NLRP3 inflammasome signalling, and thus alleviating oxidative stress injury and inflammatory response under PA insult. Besides, these two compounds were predicted to possess better drug-likeness properties using SwissADME. The present study showed that compounds D-2 and C-1, especially compound D-2, were potent pancreatic beta cell protective agents to inhibit TXNIP expression and might serve as promising lead candidates for the treatment of T2DM.

关键词： Quinazoline derivatives TXNIP inhibition oxidative stress and inflammation pancreatic beta cell apoptosis T2DM

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