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Scalable one-step wet-spinning of triboelectric fibers for large-area power and sensing textiles

Nano Research 2023年第5期16卷 7518-7526页

作者： Chuan Ning Chuanhui Wei feifan sheng Renwei Cheng Yingying Li Guoqiang Zheng Kai Dong Zhong Lin Wang CAS Center for Excellence in Nanoscience Beijing Key Laboratory of Micro-Nano Energy and SensorBeijing Institute of Nanoenergy and NanosystemsChinese Academy of SciencesBeijing 101400China College of Materials Science and Engineering Key Laboratory of Material Processing and Mold(Ministry of Education)Henan Key Laboratory of Advanced Nylon Materials and ApplicationZhengzhou UniversityZhengzhou 450001China School of Nanoscience and Technology University of Chinese Academy of SciencesBeijing 100049China School of Material Science and Engineering Georgia Institute of TechnologyAtlantaGeorgia 30332USA

Textile-based electronic devices have attracted increasing interest in recent years due to their wearability,breathability,*** them,textile-based triboelectric nanogenerators(T-TENGs)exhibit remarkable advantages in mechanical energy harvesting and self-powered ***,there are still some key challenges to the development and application of triboelectric fibers(the basic unit of T-TENG).Scalable production and large-scale integration are still significant factors hindering its *** the same time,there are some difficulties to overcome in the manufacturing process,such as achieving good stretchability and a quick production,overcoming incompatibility between conductive and triboelectric *** this study,triboelectric fibers are produced continuously by one-step coaxial wet *** are only 0.18 mm in diameter and consist of liquid metal(LM)core and polyurethane(PU)*** to the good mechanical properties between them,there is no interface incompatibility of the triboelectric *** addition,triboelectric fibers can be made into large areas of T-TENG by means of digital embroidery and plain *** T-TENGs can be used for energy harvesting and self-powered *** they are fixed on the forearm can monitor various strokes in *** work provides a promising strategy for the large-scale fabrication and large-area integration of triboelectric fibers,promotes the development of wearable T-TENGs.

关键词： triboelectric nanogenerators coaxial wet spinning scale production large-area integration self-powered sensing

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High-Efficiency Wastewater Purification System Based on Coupled Photoelectric–Catalytic Action Provided by Triboelectric Nanogenerator

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Nano-Micro Letters 2021年第12期13卷 95-108页

作者： Shen Shen Jiajia Fu Jia Yi Liyun Ma feifan sheng Chengyu Li Tingting Wang Chuan Ning Hongbo Wang Kai Dong Zhong Lin Wang CAS Center for Excellence in Nanoscience Beijing Key Laboratory of Micro-Nano Energy and SensorBeijing Institute of Nanoenergy and NanosystemsChinese Academy of SciencesBeijing 100083People’s Republic of China Jiangsu Engineering Technology Research Centre for Functional Textiles Jiangnan UniversityNo.1800 Lihu AvenueWuxiPeople’s Republic of China School of Nanoscience and Technology University of Chinese Academy of SciencesBeijing 100049People’s Republic of China School of Material Science and Engineering Georgia Institute of TechnologyAtlantaGA 30332-0245USA

It is of great importance to explore a creative route to improve the degradation e ciency of organic pollutants in ***,we construct a unique hybrid system by combining self-powered triboelectric nanogenerator(TENG)with carbon dots-TiO_(2)sheets doped three-dimensional graphene oxide photocatalyst(3 DGA@CDs-TNs),which can significantly enhance the degradation e ciency of brilliant green(BG)and direct blue 5 B(DB)owing to the powerful interaction of TENG and 3 DGA@CDs-TNs *** power output of TENG can be applied for wastewater purification directly,which exhibits a selfpowered electrocatalytic ***,the results also verify that TENG can replace conventional electric catalyst to remove pollutants e ectively from wastewater without any ***,the unstable fragments and the plausible removal pathways of the two pollutants are *** work sheds light on the development of e cient and sustainable TENG/photocatalyst system,opening up new opportunities and possibilities for comprehensive utilization of random energy.

关键词： Triboelectric nanogenerators Self-powered 3DGA@CDs-TNs photocatalyst Hybrid system Wastewater purification

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Wearable energy harvesting-storage hybrid textiles as on-body self-charging power systems

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Nano Research Energy 2023年第4期2卷 4-13页

作者： feifan sheng Bo Zhang Renwei Cheng Chuanhui Wei Shen Shen Chuan Ning Jun Yang Yunbing Wang Zhong Lin Wang Kai Dong CAS Center for Excellence in Nanoscience Beijing Key Laboratory of Micro-Nano Energy and Sensor Beijing Institute of Nanoenergy and NanosystemsChinese Academy of SciencesBeijing 101400China Hefei Normal University Hefei 230601China School of Nanoscience and Technology University of Chinese Academy of SciencesBeijing 100049China National Engineering Research Center for Biomaterials Sichuan UniversityChengdu 610064China School of Material Science and Engineering Georgia Institute of TechnologyAtlantaGA 30332USA

The rapid development of wearable electronics requires its energy supply part to be flexible,wearable,integratable and ***,some of the energy supply units cannot meet these requirements at the same time,and there is also a capacity limitation of the energy storage units,and the development of sustainable wearable self-charging power supplies is ***,we report a wearable sustainable energy harvesting-storage hybrid self-charging power *** power textile consists of a coaxial fiber-shaped polylactic acid/reduced graphene oxide/polypyrrole(PLA-rGO-PPy)triboelectric nanogenerator(fiber-TENG)that can harvest low-frequency and irregular energy during human motion as a power generation unit,and a novel coaxial fiber-shaped supercapacitor(fiber-SC)prepared by functionalized loading of a wet-spinning graphene oxide fiber as an energy storage *** fiber-TENG is flexible,knittable,wearable and adaptable for integration with various portable *** coaxial fiber-SC has high volumetric energy density and good cycling *** fiber-TENG and fiber-SC are flexible yarn structures for wearable continuous human movement energy harvesting and storage as on-body self-charging power systems,with light-weight,ease of preparation,great portability and wide *** integrated power textile can provide an efficient route for sustainable working of wearable electronics.

关键词： power textiles coaxial supercapacitors triboelectric nanogenerators self-charging sustainable working

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面向个性化健康医疗的智能纺织品研究进展

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纺织学报 2024年第1期45卷 240-249页

作者：董凯吕天梅盛非凡彭晓中国科学院北京纳米能源与系统研究所北京101400 中国科学院大学纳米科学与技术学院北京100049

为推进智能纺织品在个性化健康医疗体系中的深入研究和实际应用,推动当前以医院或诊所为中心的集中、被动式公共卫生医疗体系向未来以主动、预防、个性化、定制化和智能化为特征的新健康管理模式转变,首先介绍了智能纺织品的概念特征和... 详细信息

为推进智能纺织品在个性化健康医疗体系中的深入研究和实际应用,推动当前以医院或诊所为中心的集中、被动式公共卫生医疗体系向未来以主动、预防、个性化、定制化和智能化为特征的新健康管理模式转变,首先介绍了智能纺织品的概念特征和功能属性,然后针对主动传感机制,详述了常见智能纺织品的电响应原理及其制备方式和各自优缺点。其次,介绍了智能纺织品在个性化健康医疗系统中的潜在应用,主要涵盖了体征体态监测、智能化诊断、个性化治疗和辅助康复训练等健康管理方面。最后,针对个性化健康医疗智能纺织品迈向大规模应用道路中的关键性挑战,对其优先发展方向和潜在解决方案做出了展望。

关键词：智能纺织品健康医疗个性化应用监测与评估康复训练

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TianXing:A Linear Complexity Transformer Model with Explicit Attention Decay for Global Weather Forecasting

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Advances in Atmospheric Sciences 2025年第1期42卷 9-25页

作者： Shijin YUAN Guansong WANG Bin MU feifan ZHOU School of Computer Science and Technology Tongji UniversityShanghai 200092China Laboratory of Cloud-Precipitation Physics and Severe Storms Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 101408China

In this paper,we introduce TianXing,a transformer-based data-driven model designed with physical augmentation for skillful and efficient global weather *** data-driven transformer models such as Pangu-Weather,FengWu,and FuXi have emerged as promising alternatives for numerical weather prediction in weather ***,these models have been characterized by their substantial computational resource consumption during training and limited incorporation of explicit physical guidance in their modeling *** contrast,TianXing applies a linear complexity mechanism that ensures proportional scalability with input data size while significantly diminishing GPU resource demands,with only a marginal compromise in ***,TianXing proposes an explicit attention decay mechanism in the linear attention derived from physical insights to enhance its forecasting *** mechanism can reweight attention based on Earth's spherical distances and learned sparse multivariate coupling relationships,promptingTianXing to prioritize dynamically relevant neighboring ***,to enhance its performance in mediumrange forecasting,TianXing employs a stacked autoregressive forecast *** of the model's architecture is conducted using ERA5 reanalysis data at a 5.625°latitude-longitude resolution,while a high-resolution dataset at 0.25°is utilized for training the actual forecasting ***,the TianXing exhibits excellent performance,particularly in the Z500(geopotential height)and T850(temperature)fields,surpassing previous data-driven models and operational fullresolution models such as NCEP GFS and ECMWF IFS,as evidenced by latitude-weighted RMSE and ACC ***,the TianXing has demonstrated remarkable capabilities in predicting extreme weather events,such as typhoons.

关键词： weather forecast deep learning physics augmentation linear attention

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Fake Face Detection Based on Fusion of Spatial Texture and High-Frequency Noise

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Chinese Journal of Electronics 2025年第1期34卷 212-221页

作者： Dengyong Zhang feifan Qi Jiahao Chen Jiaxin Chen Rongrong Gong Yuehong Tian Lebing Zhang Hunan Provincial Key Laboratory of Intelligent Processing of Big Data on Transportation School of Computer and Communication Engineering Changsha University of Science and Technology School of Computer and Communication Engineering Changsha University of Science and Technology Changsha Social Work College Changkuangao Beijing Technology Co. Ltd. School of Computer and Artificial Intelligence Huaihua University

The rapid development of the Internet has led to the widespread dissemination of manipulated facial images, significantly impacting people's daily lives. With the continuous advancement of Deepfake technology, the generated counterfeit facial images have become increasingly challenging to distinguish. There is an urgent need for a more robust and convincing detection method. Current detection methods mainly operate in the spatial domain and transform the spatial domain into other domains for analysis. With the emergence of transformers, some researchers have also combined traditional convolutional networks with transformers for detection. This paper explores the artifacts left by Deepfakes in various domains and, based on this exploration, proposes a detection method that utilizes the steganalysis rich model to extract high-frequency noise to complement spatial features. We have designed two main modules to fully leverage the interaction between these two aspects based on traditional convolutional neural networks. The first is the multi-scale mixed feature attention module, which introduces artifacts from high-frequency noise into spatial textures, thereby enhancing the model's learning of spatial texture features. The second is the multi-scale channel attention module, which reduces the impact of background noise by weighting the features. Our proposed method was experimentally evaluated on mainstream datasets, and a significant amount of experimental results demonstrate the effectiveness of our approach in detecting Deepfake forged faces, outperforming the majority of existing methods.

关键词： Deepfakes Adaptation models Attention mechanisms Noise Transforms Transformers Feature extraction Internet Convolutional neural networks Faces

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Genetic variants and mRNA expression levels of KLF4 and KLF5 with hypertension:A combination of case-control study and cohort study

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Journal of Biomedical Research 2025年第1期39卷 103-113页

作者： Xu Han Wen Li Changying Chen Jiahui Liu Junxiang Sun feifan Wang Chao Wang Jialing Mu Xincheng Gu Fangyuan Liu Hankun Xie Song Yang Chong Shen Department of Epidemiology Center for Global HealthSchool of Public HealthNanjing Medical UniversityNanjingJiangsu 211166China Department of Cardiology the Affiliated Yixing People's Hospital of Jiangsu UniversityPeople's Hospital of Yixing CityWuxiJiangsu 214200China Department of Environmental Genomics School of Public HealthNanjing Medical UniversityNanjingJiangsu 211166China

Hypertension(HT)is a major risk factor for cardiovascular ***üppel-like factors(KLFs)are important transcription factors in *** have reported that KLF4 and KLF5 are correlated with several cardiovascular diseases,but population-based studies on associations between HT and KLF4 or KLF5 have rarely been ***,the current study investigated the associations of genetic variants and m RNA expression levels of KLF4 and KLF5 with HT,as well as the effects of antihypertensive drugs on the expression levels of these *** associations of one single-nucleotide polymorphism(SNP)in KLF4 and three SNPs in KLF5with HT were analyzed using a combination of case-control and cohort *** study populations were selected from a community-based cohort in four regions of Jiangsu *** risks of HT were estimated through logistic and Cox regression *** addition,m RNA expression levels of KLF4 and KLF5 were detected in 246 controls and 385 HT cases selected from the aforementioned *** the HT cases,263were not taking antihypertensive drugs[AHD(-)]and 122 were taking antihypertensive drugs[AHD(+)].In the case-control study,SNP rs9573096(C>T)in KLF5 was significantly associated with an increased risk of HT in the additive model(adjusted odds ratio[OR],1.106;95%confidence interval[CI],1.009 to 1.212).In the cohort study of the normotensive population,rs9573096 in KLF5 was also significantly associated with an increased risk of HT in the additive model(adjusted hazards ratio[HR],1.199;95%CI,1.070 to 1.344).KLF4 and KLF5m RNA expression levels were significantly higher in the AHD(-)group than in the control group(P<0.05),but lower in the AHD(+)group than in the AHD(-)group(P<0.05).The current study demonstrated the associations of KLF4 and KLF5 genetic variants with hypertension,as well as the association of the indicative variations in m RNA expression levels of KLF4 and KLF5 with the risk of hypertension and antihypertensive

关键词： hypertension KLF4 KLF5 single-nucleotide polymorphism mRNA expression antihypertensive drugs

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Genome-wide investigation of defensin genes in apple(Malus×domestica Borkh.) and in vivo analyses show that MdDEF25 confers resistance to Fusarium solani

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Journal of Integrative Agriculture 2025年第1期24卷 161-175页

作者： Mengli Yang Jian Jiao Yiqi Liu Ming Li Yan Xia feifan Hou Chuanmi Huang Hengtao Zhang Miaomiao Wang Jiangli Shi Ran Wan Kunxi Zhang Pengbo Hao Tuanhui Bai Chunhui Song Jiancan Feng Xianbo Zheng College of Horticulture Henan Agricultural UniversityZhengzhou 450046China Zhengzhou Fruit Research Institute Chinese Academy of Agricultural SciencesZhengzhou 450009China

Apple replant disease is a complex soil syndrome that occurs when the same fields are repeatedly utilized for apple orchard *** can be caused by various pathogens,and Fusarium solani is the main *** solani disrupts the structure and function of the orchard soil ecosystem and inhibits the growth and development of apple trees,significantly impacting the quality and yield of *** this study,we conducted a transcriptome comparison between uninoculated apple saplings and those inoculated with F:*** differentially expressed genes were mainly enriched in processes such as response to symbiotic *** defensins are antimicrobial peptides,but their roles during *** infection remain *** performed a genome-wide identification of apple defensin genes and identified 25 genes with the conserved motif of eight cysteine *** wildtype apple rootstock inoculated with ***,the root surface cells experienced severe damage,and showed significant differences in the total root length,total root projection area,root tips,root forks,and total root surface area compared to the control ***-PCR analysis revealed that MdDEF3 and MdDEF25 were triggered in response to *** infection in *** localization showed specific expression of the MdDEF3-YFP and MdDEF25-YFP proteins on the cell *** theMdDEF25-YFP fusiongene enhanced resistance against *** in apple,providing a new strategy for the future prevention and biological control of apple replantdisease.

关键词： apple Fusarium solani defensin resistance replant disease

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单细胞转录组测序技术在胃癌肿瘤微环境重编程研究中的应用进展

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南京医科大学学报(自然科学版) 2025年第2期45卷 285-290页

作者：胡非凡占强安方梅南京医科大学附属无锡人民医院消化内科南京医科大学无锡医学中心国家消化系统疾病临床医学研究中心(西安)江苏省分中心江苏无锡214023

胃癌发病和肿瘤微环境重编程密切相关,但肿瘤微环境的复杂性与异质性限制了胃癌的个体化精准诊疗。单细胞转录组测序技术从探讨肿瘤微环境重编程过程出发,可在单细胞水平“描绘”胃癌中肿瘤微环境的“景观”,深入探索肿瘤微环境各细胞... 详细信息

胃癌发病和肿瘤微环境重编程密切相关,但肿瘤微环境的复杂性与异质性限制了胃癌的个体化精准诊疗。单细胞转录组测序技术从探讨肿瘤微环境重编程过程出发,可在单细胞水平“描绘”胃癌中肿瘤微环境的“景观”,深入探索肿瘤微环境各细胞亚型间的相互作用,揭示肿瘤微环境调控胃癌进展与转移的免疫新机制,探究肿瘤微环境诱导胃癌化疗耐药的分子机制,挖掘肿瘤微环境中胃癌潜在的免疫治疗新靶点,提供预测肿瘤微环境影响胃癌预后的新方法等,为研究胃癌起源、发病机制、疾病进展以及免疫耐受等提供更全面、精准的证据。文章就单细胞转录组测序技术在胃癌微环境重编程研究中的应用现状作一综述,力求为胃癌的精准诊治提供新思路。

关键词：胃癌肿瘤微环境单细胞转录组测序异质性

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煤矿安全知识问答系统的答案生成模型研究

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现代电子技术 2025年第2期48卷 61-69页

作者：于非凡董立红秦昳西安科技大学计算机科学与技术学院陕西西安710600

随着国家和煤矿行业对煤矿应急管理要求的逐步提高,对煤矿安全知识的学习也提出了更高的要求,因此建立一种煤矿安全知识智能问答模型。有效学习煤矿安全知识,对于确保煤矿企业工作人员的人身安全和预防煤矿安全事故的发生至关重要。首先... 详细信息

随着国家和煤矿行业对煤矿应急管理要求的逐步提高,对煤矿安全知识的学习也提出了更高的要求,因此建立一种煤矿安全知识智能问答模型。有效学习煤矿安全知识,对于确保煤矿企业工作人员的人身安全和预防煤矿安全事故的发生至关重要。首先,基于RoBERTa-wwm算法自动生成问答对数据,获取并分析煤矿安全知识原始文本数据,定义问题类型并标注问答对;然后,结合RoBERTa-wwm与UniLM,采用点互信息与邻接熵发现新词扩充领域词典,提出问答对自动生成算法,同时构建煤矿安全培训知识问答对数据集,解决煤矿安全知识系统问答对数据集问题;最后,引入问题相似度机制,针对无法回答问题和无关问题提出答案生成策略,构建基于问题相似度机制的答案生成模型,使其只关注可回答问题,从而提升模型的推理能力。实验结果表明,所提出的煤矿安全知识问答系统答案生成模型可有效识别无法回答和无关的问题,能够为煤矿企业工作人员提供知识支持,最大程度地提升煤矿企业工作人员安全培训学习效果。

关键词：智能问答系统煤矿安全答案生成 RoBERTa-wwm UniLM 点互信息邻接熵问题相似度

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