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Cigarette smoke–induced epithelial cell ferroptosis promotes neutrophilic inflammation in patients with nasal polyps

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Journal of Allergy and Clinical Immunology 2025年第6期155卷 1882-1897页

作者： Pan, Li Yu, Ze Xiang, Wen-Xuan Sun, Shi-Ran Li, Jing-Xian Deng, Yi-Ke Wang, Meng-Chen Zhong, Ji-Xin Huang, Kun Gao, Pei-Song Zhu, Li-Ping Yao, Yin Liu, Zheng Department of Otolaryngology-Head and Neck Surgery Tongji Hospital Tongji Medical College Huazhong University of Science and Technology Wuhan China Hubei Clinical Research Center for Nasal Inflammatory Diseases Wuhan China Department of Rheumatology and Immunology Tongji Hospital Huazhong University of Science and Technology Wuhan China Institute of Allergy and Clinical Immunology Tongji Hospital Tongji Medical College Huazhong University of Science and Technology Wuhan China School of Pharmacy Tongji Medical College Huazhong University of Science and Technology Wuhan China Division of Allergy and Clinical Immunology Johns Hopkins University School of Medicine Baltimore Md United States Department of Pathophysiology School of Basic Medicine Tongji Medical College Huazhong University of Science and Technology Wuhan China Department of Otorhinolaryngology-Head and Neck Surgery Zhongnan Hospital of Wuhan University Wuhan China

Background: Regulation of epithelial cell death has emerged as a key mechanism maintaining immune homeostasis in the airway. However, the mechanisms governing epithelial cell survival in nasal polyps (NPs) remain poorly understood. Objective: We sought to investigate the ferroptosis of nasal epithelial cells and its implications in the pathogenesis of NPs. Methods: The cell death, lipid peroxidation, and ferrous iron levels in nasal epithelial cells were determined by flow cytometry. Biomarkers and signaling pathways associated with ferroptosis were evaluated by quantitative RT-PCR, single-cell and bulk RNA sequencing, immunofluorescence staining, and Western blotting. Human nasal epithelial cells (HNECs) and human bronchial epithelial cells (16HBE) were stimulated with different agents. Mitochondrial ultrastructure in HNECs was visualized by transmission electron microscopy. Cytokine levels were quantified using ELISA. A cigarette smoke extract (CSE)-induced mouse model was established and treated with deferoxamine. Results: Nasal epithelial cells from both eosinophilic and noneosinophilic NPs showed intensified lipid peroxidation and altered mitochondrial morphology, resembling the features of ferroptosis. Ferroptosis triggered CXCL8 production in 16HBE cells and HNECs through the activation of mitogen-activated protein kinase pathway. CSE exposure elevated ferrous iron levels by upregulating transferrin receptor 1, leading to ferroptosis and subsequent CXCL8 production in HNECs. Deferoxamine treatment inhibited nasal epithelial cell ferroptosis, CXCL8 levels, and neutrophil numbers in a CSE-induced mice model. Smoking burden was correlated with CXCL8 levels and neutrophil infiltration in patients with NPs. An analysis of 494,176 UK Biobank participants revealed smoking as a risk factor for NPs (odds ratio, 1.346;95% CI, 1.245-1.456;P < .001). Conclusions: Smoking-induced ferroptosis promotes CXCL8 production in nasal epithelial cells and thus potentially exacerba

关键词： Ferroptosis nasal epithelial cell nasal polyps neutrophil smoking

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Fair and Communication-Efficient Personalized Federated Learning 18th

Fair and Communication-Efficient Personalized Federated Lea...

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18th International Conference on Wireless Artificial Intelligent Computing Systems and Applications, WASA 2024

作者： Zheng, Yifu Zheng, Xu Wang, Tingqi Mu, Chong Zhakiyev, Nurkhat School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu China School of Information and Software Engineering University of Electronic Science and Technology of China Chengdu China Department of Science and Innovation Astana IT University Astana Kazakhstan

ISBN: (纸本)9783031714665

Personalized Federated Learning (pFL) is among the most popular tasks in distributed deep learning, which compensates for mutual knowledge and enables device-specific model personalization. However, the effectiveness of pFL is severely impeded by challenges on fairness and significant communication overhead, where devices holding essential samples have to devote extensive resources for model training. To address these issues, we introduce the Fair and Communication-Efficient Personalized Federated Learning (FCE-PFL) framework, which harmonizes performance and device fairness while maintaining communication costs. Based on the Dempster-Shafer Theory, FCE-PFL employs assistance and contribution metrics to quantify the auxiliary information a client receives and provides. Then FCE-PFL balances and adjusts the involvement of devices in each training iteration, so as to facilitate fair training by constraining the maximum resource consumption per device and reduce the overall communication overhead. Our framework has been proven to be superior to existing methods in accuracy through rigorous experiments on the CIFAR10 and CIFAR100 datasets, demonstrating its potential as a fair and efficient pFL solution. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Federated learning

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TransEffiVisNet – an image captioning architecture for auditory assistance for the visually impaired

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Multimedia Tools and Applications 2024年 1-20页

作者： R, Harshitha B, Lakshmipriya Krishnamurthy, Vallidevi School of Computer Science and Engineering Vellore Institute of Technology Chennai Campus Chennai India School of Engineering Jawaharlal Nehru University New Delhi India

Insights derived out of image captioning systems have potential applications in real life, including providing auditory assistance for the visually impaired. This paper proposes TransEffiVisNet, a novel image captioning system embedded with text-to-speech generation, which can be deployed to aid individuals with visual impairments. The proposed model combines a convolutional neural network (CNN) and a transformer-based encoder and decoder to generate descriptive captions for the visual content provided as an image input. A comparative study was conducted to assess the performance of the proposed model formulated using five prominent CNN models—VGG16, ResNet50, EfficientNetB0, EfficientNetB1, and Inception V3, while maintaining the same transformer architecture. The image captioning model with EfficientNetB1 showcased phenomenal results compared to four other architectures and hence preferred to be used in TransEffiVisNet. Integration of Google Text-to-Speech technology to convert captions into speech further enhances the functionality of the model which in future can be deployed for visually impaired assistance. © The Author(s), under exclusive licence to Springer science+Business Media, LLC, part of Springer Nature 2024.

关键词： Convolutional neural networks

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ANALYSIS OF SWEEP FREQUENCY SIGNAL BASED ON FOURIER TRANSFORM 18

ANALYSIS OF SWEEP FREQUENCY SIGNAL BASED ON FOURIER TRANSFOR...

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18th Symposium on Piezoelectricity, Acoustic Waves, and Device Applications, SPAWDA 2024

作者： Huang, Cansen Liu, Xinhu Hu, Hongping School of Aerospace Engineering Huazhong University of Science and Technology Wuhan China Hubei Key Laboratory for Engineering Structural Analysis and Safety Assessment Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9798331523732

This study aims to explore the application of frequency sweep signal analysis based on discrete Fourier transform in complex environments, in order to improve the accuracy and reliability of signals. Firstly, the significance and application of discrete Fourier transform in signal processing are elucidated. Subsequently, the properties of frequency sweep signals and the challenges they bring in practical scenarios are introduced in detail. Given the complexity of frequency sweep signals, a method based on discrete Fourier transform is proposed. By converting the signal to the frequency domain for spectral analysis, this method can identify the frequency components and energy distribution in the swept frequency signal, thereby promoting accurate analysis and processing of the swept frequency signal. The experimental results show that the use of discrete Fourier transform for frequency sweep signal analysis can effectively extract signal features, reduce noise signal interference, and provide strong support for signal processing and recognition. Therefore, this method has great application prospects in various fields such as communication, radar, and medicine. © 2024 IEEE.

关键词： Discrete Fourier transforms

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The advancement in multi-label and label distribution learning

The advancement in multi-label and label distribution learni...

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2024 International Conference on Electronics and Devices, Computational science, ICEDCS 2024

作者： Liu, Suping Samonte, Mary Jane C. Mapua University School of Graduate Studies and Information Technology Manila1002 Philippines Guangdong University of Science and Technology School of Computer Science Dongguan523083 China

ISBN: (纸本)9798331527624

Multi label learning and label distribution learning as emerging machine learning paradigms have developed rapidly in recent years. This article aims to review the research progress in this field, focusing on the algorithms and applications of multi label learning and label distribution learning. Firstly, the basic concepts and related backgrounds of multi label learning and label distribution learning were introduced, and their differences and connections with traditional single label learning were explained. Secondly, the research progress on multi label learning, multi label classification, multi label feature selection, and label distribution learning were introduced separately. Finally, this article summarizes and looks forward to the future development directions of multi label learning and label distribution learning. © 2024 IEEE.

关键词： Adversarial machine learning

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A Multi-Access Edge Computing Approach to Intelligent Tutoring Systems for Real-Time Adaptive Learning

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International Journal of Information technology (Singapore) 2025年第4期17.0卷 2117-2128页

作者： Singh, Ramesh Konyak, Chenlep Yakha Longkumer, Akangjungshi Computer Science and Engineering School of Engineering and Technology Nagaland University Meriema Nagaland Kohima 797004 India

Intelligent tutorial systems (ITS) lack real-time adaptive learning features to provide better learning experiences to the learners. To address this problem, a novel flexible learning system (FLS) is proposed which supports real-time adaptive learning in ITS using a multi-access edge computing (MEC) approach. The adaptive features create personalized learning styles and content tailored to each student’s context, facilitating one-to-one learning. The MEC environment allows the FLS to process tasks for content generation with real-time responses while optimizing network bandwidth usage. The proposed FLS reduced task processing time by 94%, enabling real-time responses that facilitate flexible learning experiences. © Bharati Vidyapeeth's Institute of computer Applications and Management 2025.

关键词： E-learning Intelligent tutor system Learning style Multi-access edge computing

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Active Disturbance Rejection Control Combined with Current-Stress-Optimization for Dual Active Bridge DC-DC Converter 26

Active Disturbance Rejection Control Combined with Current-S...

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26th International Conference on Electrical Machines and Systems, ICEMS 2023

作者： Tan, Chenchen Li, Chongbo Liu, Zhenxing Dian, Renjun Wuhan University of Science and Technology School of Information Science and Engineering Wuhan China Dayu Electric Technology Co. Ltd Wuhan China

ISBN: (纸本)9798350317589

Due to irregular load switching, the bus voltage fluctuations in dual active bridge (DAB) converter are generated. In this work, active disturbance rejection control (ADRC) based dual-phase-shift (DPS) modulation strategy is proposed to improve the dynamic response of DAB converter and relive the current stress of the converter. Firstly, under the DPS modulation strategy, the transmission power and current stress are analyzed. The minimum current stress under each working condition and the corresponding shift combination is obtained. Then, an extended state observer (ESO) is established, and the transmission power change caused by the sudden load change and DC bus voltage are regarded as the total disturbance. In this paper, an ADRC combined with current stress optimization control is proposed, which has better operating characteristics than traditional proportion integration (PI). At last, the superiority of the control strategy is verified by experiments. © 2023 IEEE.

关键词： Disturbance rejection

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CdS decorated resorcinol-formaldehyde spheres as an inorganic/organic S-scheme photocatalyst for enhanced H_(2)O_(2)production

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Journal of Materials science & technology 2023年第31期162卷 90-98页

作者： Bicheng Zhu Jingjing Liu Jian Sun Fei Xie Haiyan Tan Bei Cheng Jianjun Zhang Laboratory of Solar Fuel Faculty of Materials Science and ChemistryChina University of GeosciencesWuhan 430078China State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Wuhan University of TechnologyWuhan 430070China School of Chemistry and Environmental Engineering Hubei University for NationalitiesEnshi 445000China

Photocatalytic H_(2)O_(2)production provides a clean and sustainable strategy for artificial ***,an inorganic/organic composite photocatalyst was fabricated by in-situ growth of CdS nanoparticles on the surface of resorcinol-formaldehyde(RF)resin *** spheres played multiple roles:(i)acting as a substrate for the growth of CdS and constructing a core-shell structure with seamless con-tact;(ⅱ)improving visible light absorption of CdS;(ⅲ)forming an S-scheme heterojunction with CdS and promoting the charge separation and ***,under visible light illumination,CdS/RF composite presented remarkably enhanced H_(2)O_(2)production *** H_(2)O_(2)yield in 60 min was 801μmol L^(-1),which was 5.2 and 1.5 times higher than that of RF spheres and CdS hollow spheres,*** charge migration between CdS and RF followed the S-scheme photocatalytic mechanism,which was verified by work function measurement,ex-situ and in-situ irradiated X-ray photoelectron *** work brings a novel insight into designing RF-based inorganic/organic S-scheme heterojunction pho-tocatalysts for efficient H_(2)O_(2)production.

关键词： Photocatalysis Step-scheme heterojunction Resorcinol-formaldehyde Hydrogen peroxide in-situ irradiated XPS

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RUL Prediction Architecture of Rolling Bearing Considering Failure Behavior Determination 14

RUL Prediction Architecture of Rolling Bearing Considering F...

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14th IEEE Global Reliability and Prognostics and Health Management Conference, PHM-Hangzhou 2023

作者： Pei, Xuewu Li, Xinyu Gao, Liang School of Mechanical Science and Engineering Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9798350301359

Remaining useful life (RUL) prediction is a significant part of prognostics and health management. Recently, intelligent data-driven methods of deep learning methods and transfer learning methods for RUL prediction have become mainstream. However, they still mostly suffer from some limitations: 1) failure behavior determination (FBD) was not considered to enhance the prediction precision during the RUL prediction process. 2) The health threshold for initial degradation timepoint (TDT) was set with the help of health indicator (HI) values during the stable operation stage. To address the above drawbacks, a novel RUL prediction architecture of rolling bearing considering FBD is proposed. First, First, a relative HI (RHI) construction method by the improved grey target decision (IGTD) is proposed to reduce the differences of health state during the stable operation stage and then IDT and FBD can be determined based on the proposed RHI. Second, to enhance the prediction precision, a novel RUL prediction ConvLSTM architecture considering FBD is proposed. Finally, one case of run-to-failure test data are used to verify the feasibility and superiority of the proposed approach. © 2023 IEEE.

关键词： ConvLSTM failure behavior determination improved grey target decision initial degradation timepoint remaining useful life

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An efficient cloud based face recognition system for e-health secured login using steerable pyramid transform and local directional pattern

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Journal of Ambient Intelligence and Humanized Computing 2024年第1期15卷 1017-1027页

作者： Dosaj, Ayush Satapathy, Suresh Chandra Soundrapandiyan, Rajkumar Kaur, Mannat Hannoon, Naeem School of Computer Science and Engineering Vellore Institute of Technology Vellore India School of Computer Science and Engineering Kalinga Institute of Industrial Technology Deemed to be University Odisha Bhubaneswar India Faculty of Electrical Engineering Universiti Teknologi MARA Shah Alam Malaysia

This paper proposes a face recognition system based on steerable pyramid transform (SPT) and local directional pattern (LDP) for e-health secured login in cloud domain. In an e-health login, patients periodically forget their self-made login username and password. This face recognition system can replace the traditional login system. In the proposed system, SPT can decompose a face image into several sub-bands of different scales and orientations, and LDP can encode the sub-bands in binary texture pattern. The LDP binary pattern was obtained by computing the edge response values in all eight directions at each pixel position and generating a code from the relative strength magnitude. Therefore, SPT–LDP design represents a face image in a robust way which includes multiple information sources from different scales and orientations. The proposed system is tested on standard benchmark facial recognition technology (FERET) and extended Yale-B databases. Further, the efficiency of the proposed system is proved by comparing recognition rates with other existing descriptor based methods. From the experimental results it is observed that the proposed system achieves 99.79% recognition in fb set, 90.72% in fc set, 84.97% in dup I set, and 87.69% in dup II set for FERET database and 100% in sub2 set, 100% in sub3 set, 96% in sub4 set and 95% in sub5 set for extended Yale-B database which is better than the existing methods. © Springer-Verlag GmbH Germany, part of Springer Nature 2018.

关键词： Face recognition

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