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Wearable and interactive multicolored photochromic fiber display

Light(Science & Applications) 2024年第3期13卷 454-465页

作者： pan Li Yuwei Wang Xiaoxian He Yuyang Cui Jingyu Ouyang Ju Ouyang Zicheng He Jiayu Hu Xiaojuan Liu Hang Wei Yu Wang Xiaoling Lu Qian Ji Xinyuan Cai Li Liu Chong Hou Ning Zhou shaowu pan Xiangru Wang Huamin Zhou Cheng-Wei Qiu Yan-Qing Lu Guangming Tao State Key Laboratory of Material Processing and Die&Mould Technology School of Materials Science and Engineering and Wuhan National Laboratory for OptoelectronicsHuazhong University of Science and TechnologyWuhan 430074China Key Laboratory of Vascular Aging(HUST) Ministry of EducationWuhan 430030China School of Optoelectronic Science and Engineering University of Electronic Science and Technology of ChinaChengdu 611731China Department of Electrical and Computer Engineering National University of SingaporeSingapore 117583Singapore National Laboratory of Solid State Microstructures Key Laboratory of Intelligent Optical Sensing and ManipulationCollege of Engineering and Applied Sciencesand Collaborative Innovation Center of Advanced MicrostructuresNanjing UniversityNanjing 210023China School of Performing Arts Wuhan Conservatory of MusicWuhan 430060China School of Mechanical Science and Engineering Huazhong University of Science and TechnologyWuhan 430074China School of Architecture and Urban Planning Huazhong University of Science and TechnologyWuhan 430074China School of Fashion Beijing Institute of Fashion TechnologyBeijing 100029China School of Optical and Electronic Information Huazhong University of Science and TechnologyWuhan 430074China Tongji Medical College Huazhong University of Science and TechnologyWuhan 430074China State Key Laboratory for Modification of Chemical Fibers and Polymer Materials College of Materials Science and EngineeringDonghua UniversityShanghai 201620China

Endowing flexible and adaptable fiber devices with light-emitting capabilities has the potential to revolutionize the current design philosophy of intelligent,wearable interactive devices.However,significant challenges remain in developing fiber devices when it comes to achieving uniform and customizable light effects while utilizing lightweight hardware.Here,we introduce a mass-produced,wearable,and interactive photochromic fiber that provides uniform multicolored light control.We designed independent waveguides inside the fiber to maintain total internal reflection of light as it traverses the fiber.The impact of excessive light leakage on the overall illuminance can be reduced by utilizing the saturable absorption effect of fluorescent materials to ensure light emission uniformity along the transmission direction.In addition,we coupled various fluorescent composite materials inside the fiber to achieve artificially controllable spectral radiation of multiple color systems in a single fiber.We prepared fibers on mass-produced kilometer-long using the thermal drawing method.The fibers can be directly integrated into daily wearable devices or clothing in various patterns and combined with other signal input components to control and display patterns as needed.This work provides a new perspective and inspiration to the existing field of fiber display interaction,paving the way for future human–machine integration.

关键词： fiber interactive colored

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Making Passive Daytime Radiative Cooling Metafabrics on a Large Scale

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Advanced Fiber Materials 2022年第1期4卷 3-4页

作者： shaowu pan Huisheng Peng State Key Laboratory for Modifcation of Chemical Fibers and Polymer Materials College of Materials Science and EngineeringDonghua University2999 Renmin RoadShanghai 201620China State Key Laboratory of Molecular Engineering of Polymers Department of Macromolecular Scienceand Laboratory of Advanced MaterialsFudan UniversityShanghai 200438China

Cooling is pervasive in modern society and contributes signifcantly to global energy use.A hierarchical-morphology metafabric has been recently reported to show efcient passive daytime radiative cooling ability and may be also easily scaled up by industrial textile manufacturing technology.The above study represents an important advance in personal thermal management through the use of intelligent garments.

关键词： technology. hierarchical intelligent

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Fiber Electronics Bring a New Generation of Acoustic Fabrics

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Advanced Fiber Materials 2022年第3期4卷 321-323页

作者： shaowu pan Meifang Zhu State Key Laboratory for Modifcation of Chemical Fibers and Polymer Materials College of Materials Science and EngineeringDonghua UniversityShanghai 201620China

Acoustic fabrics have traditionally been served as sound absorbers,dissipating sound signals into unusable heat.An innovative electronic fber woven into an elaborately designed fabric enables an unprecedented acoustic fabric.Demonstrated useful applications in sound direction identifcation,acoustic communications and heart sound auscultation illustrate a wide spectrum of unforeseen opportunities of the considerable technology.

关键词： Acoustic technology. sound

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Nanoprocessed Silk Makes Skin Feel Cool

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Advanced Fiber Materials 2022年第3期4卷 319-320页

作者： shaowu pan Meifang Zhu State Key Laboratory for Modifcation of Chemical Fibers and Polymer Materials College of Materials Science and EngineeringDonghua UniversityShanghai 201620China

Silk is one of the most favourable fabrics with cooling sensation.The nanoprocessing of silk through a molecular bonding design and scalable coupling reagent-assisted method can achieve subambient daytime radiative co... 详细信息

关键词： Silk Skin ambient

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Design, Implementation and Control of an Amphibious Spherical Robot

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Journal of Bionic Engineering 2022年第6期19卷 1736-1757页

作者： Liwei Shi Zhongyin Zhang Zhengyu Li Shuxiang Guo shaowu pan Pengxiao Bao Lijie Duan Key Laboratory of Convergence Medical Engineering System and Healthcare Technology The Ministry of Industry and Information TechnologySchool of Life ScienceBeijing Institute of TechnologyBeijing100081China Faculty of Engineering Kagawa University2217-20 HayashichoTakamatsuKagawa761-0396Japan

We proposed and implemented a leg-vector water-jet actuated spherical robot and an underwater adaptive motion control system so that the proposed robot could perform exploration tasks in complex environments.Our aim was to improve the kinematic performance of spherical robots.We developed mechanical and dynamic models so that we could analyze the motions of the robot on land and in water.The robot was equipped with an Inertial Measurement Unit(IMU)that provided inclination and motion information.We designed three types of walking gait for the robot,with different stabilities and speeds.Furthermore,we proposed an online adjustment mechanism to adjust the gaits so that the robot could climb up slopes in a stable manner.As the system function changed continuously as the robot moved underwater,we implemented an online motion recognition system with a forgetting factor least squares algorithm.We proposed a generalized prediction control algorithm to achieve robust underwater motion control.To ensure real-time performance and reduce power consumption,the robot motion control system was implemented on a Zynq-7000 System-on-Chip(SoC).Our experimental results show that the robot’s motion remains stable at different speeds in a variety of amphibious environments,which meets the requirements for applications in a range of terrains.

关键词： Bionic amphibious spherical robot Inertial measurement unit Quadruped gaits Forgetting factor least squares algorithm Generalized prediction control

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Visual Detection of COVID‑19 from Materials Aspect

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Advanced Fiber Materials 2022年第6期4卷 1304-1333页

作者： Gang Wang Le Wang Zheyi Meng Xiaolong Su Chao Jia Xiaolan Qiao shaowu pan Yinjun Chen Yanhua Cheng Meifang Zhu State Key Laboratory for Modification of Chemical Fibers and Polymer Materials College of Materials Science and EngineeringDonghua UniversityShanghai 201620China

In the recent COVID-19 pandemic,World Health Organization emphasized that early detection is an effective strategy to reduce the spread of SARS-CoV-2 viruses.Several diagnostic methods,such as reverse transcription-polymerase chain reaction(RT-PCR)and lateral flow immunoassay(LFIA),have been applied based on the mechanism of specific recognition and binding of the probes to viruses or viral antigens.Although the remarkable progress,these methods still suffer from inadequate cellular materials or errors in the detection and sampling procedure of nasopharyngeal/oropharyngeal swab collection.Therefore,developing accurate,ultrafast,and visualized detection calls for more advanced materials and technology urgently to fight against the epidemic.In this review,we first summarize the current methodologies for SARS-CoV-2 diagnosis.Then,recent representative examples are introduced based on various output signals(e.g.,colorimetric,fluorometric,electronic,acoustic).Finally,we discuss the limitations of the methods and provide our perspectives on priorities for future test development.

关键词： COVID-19 Virus diagnosis Rapid and high-throughput detection Visual detection Materials aspects

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用于纤维基可穿戴传感器和电致发光器件的多功能石墨烯/聚电解质水性分散液

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Science China Materials 2024年第6期67卷 1915-1925页

作者：缪振宇余柔会白晓文杜相恒杨中华周涛朱美芳潘绍武 State Key Laboratory for Modification of Chemical Fibers and Polymer Materials College of Materials Science and EngineeringDonghua UniversityShanghai 201620China

导电分散液是构建用于可穿戴传感器、能源和柔性显示器件中导电纤维/织物的关键组成部分.尽管石墨烯具有稳定的化学性质和高电导性,但制备与纤维/织物材料兼容的石墨烯分散液仍然具有挑战性.本研究通过引入聚苯乙烯磺酸钠(PSS)分散剂,... 详细信息

导电分散液是构建用于可穿戴传感器、能源和柔性显示器件中导电纤维/织物的关键组成部分.尽管石墨烯具有稳定的化学性质和高电导性,但制备与纤维/织物材料兼容的石墨烯分散液仍然具有挑战性.本研究通过引入聚苯乙烯磺酸钠(PSS)分散剂,成功制备了环境友好且稳定的石墨烯水性分散液.PSS通过非共价作用改性石墨烯,使其表面带负电荷,由此产生的静电排斥促进了石墨烯的稳定分散.此外,PSS还有助于石墨烯与基底之间形成牢固的粘附.我们制备了基于石墨烯改性的纤维和纤维膜的柔性机械传感器,包括可拉伸应变传感器和压力传感器;其中,应变传感器具有100%的高拉伸性和144.6的灵敏度,也能够感知0.1%的小应变.此外,制备的柔性生理电极能够长时间记录肌电信号和心电信号.作为概念验证,制备的同轴电致发光纤维能够为潜艇模型提供照明,以完成水下复杂任务.这项工作将进一步推动先进纳米材料在可穿戴领域的应用.

关键词： graphene dispersion fibers mechanical sensors wearable display

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Correction: Particle reconstruction of volumetric particle image velocimetry with the strategy of machine learning

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Advances in Aerodynamics 2022年第1期4卷 545-545页

作者： Qi Gao shaowu pan Hongping Wang Runjie Wei Jinjun Wang School of Aeronautics and Astronautics Zhejiang UniversityHangzhouChina Department of Aerospace Engineering University of MichiganAnn Arbor48105United States State Key Laboratory of Nonlinear Mechanics Institute of MechanicsChinese Academy of SciencesBeijingChina School of Engineering Science University of Chinese Academy of SciencesBeijingChina MicroVec.Inc. BeijingChina Key Laboratory of Fluid Mechanics of Ministry of Education Beihang UniversityBeijingChina

Following publication of the original article[1],the authors reported an error in the Funding number.The current Funding section is as below:This work was supported by the National Key R&D Program of China(No.2020YFA040070),the National Natural Science Foundation of China(grant No.11721202),the Program of State Key Laboratory of Marine Equipment(No.SKLMEA-K201910).

关键词： image Marine strategy

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Prediction of Eukaryotic Protein Subcellular Location Using a Novel Feature Extraction Method and Support Vector Machine

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西北工业大学学报 2005年第6期23卷 798-803页

作者： Zhang shaowu pan Quan Wu Yonghong Cheng Yongmei School of Life Sciences Northwestern Polytechnic University Xi＇an 710072 China School of Automatic Control Northwestern Polytechnic University Xi＇an 710072 China

The rapidly increasing number of sequences entering into the genome databank has created the need for fully automated methods to analyze them.Knowing the cellular location of a protein is a key step towards understanding its function.The development in statistical prediction of protein attributes generally consists of two cores: one is to construct a training dataset and the other is to formulate a predictive algorithm.The latter can be further separated into two subcores: one is how to give a mathematical expression to effectively represent a protein and the other is how to find a powerful algorithm to accurately perform the prediction.To predict the subcellular location of eukaryotic protein,a systematic prediction approach comprised of a novel feature extraction method,an idea of combining this feature extraction method with support vector machine(SVM) algorithm,and ’one-versus-rest’ & ’all-versus-all’ strategies have been proposed in this paper.Consequently,the total predictive accuracies reach 95.5% for four locations.Compared with existing methods,this new approach provides better predictive performance.For example,it is 13.5%,5.1% higher than Yuan’s and Hua’s methods respectively.These results demonstrate the applicability of this new method and concept and possible improvement of prediction for the protein subcellular location.It is anticipated that the current approach may also have a series of impacts on the prediction of other protein features.

关键词：亚细胞蛋白质真核状态异常特征抽取亚细胞位置媒介支持仪器

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李健吾的“自然”批评观探析

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河北大学学报（哲学社会科学版） 2023年第6期48卷 59-69页

作者：钱少武潘超青韩山师范学院文学与新闻传播学院广东潮州521041 厦门大学国际中文教育学院/海外教育学院福建厦门361104

“自然”是李健吾文学批评中一个具有核心意义的重要批评观念,包含了评价标准、主体创作、叙事视角、审美趣味和自然书写等多层次的意义蕴涵和多向度的价值指向,贯穿于作者对文学评价、创作和欣赏等的多重分析和论述之中。李健吾的“自... 详细信息

“自然”是李健吾文学批评中一个具有核心意义的重要批评观念,包含了评价标准、主体创作、叙事视角、审美趣味和自然书写等多层次的意义蕴涵和多向度的价值指向,贯穿于作者对文学评价、创作和欣赏等的多重分析和论述之中。李健吾的“自然”批评观是对中国传统文学艺术“自然”批评的主要意蕴、精神和原则的化用、拓展和创新,也选择性地吸纳、深化了西方批评理论中重要的“自然”范畴的一些内涵。李健吾文学批评以其对于“自然”这一术语的运用,不仅赋予了传统自然批评在中国现代文学批评语境中得以继续存在的理由和依据,而且成就了中国现代文学自然批评的一个独特的成功范例。

关键词：李健吾文学批评自然标准

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