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Highly stretchable kirigami-patterned nanofiber-based nanogenerators for harvesting human motion energy to power wearable electronics

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Materials Futures 2024年第2期3卷 131-140页

作者： chuan ning Shengxin Xiang Xiupeng Sun Xinya Zhao chuanhui Wei Lele Li Guoqiang Zheng Kai Dong College of Materials Science and Engineering Key Laboratory of Material Processing and Mold(Ministry of Education)Zhengzhou UniversityZhengzhou 450001People’s Republic of China Key Laboratory of Materials Physics Ministry of EducationSchool of Physics and MicroelectronicsZhengzhou UniversityZhengzhou 450001People’s Republic of China CAS Center for Excellence in Nanoscience Beijing Key Laboratory of Micro-Nano Energy and SensorBeijing Institute of Nanoenergy and NanosystemsChinese Academy of SciencesBeijing 101400People’s Republic of China School of Nanoscience and Technology University of Chinese Academy of SciencesBeijing 100049People’s Republic of China

Wearable electronics are advancing towards miniaturization and ***,traditional energy supply methods have largely hindered their *** effective solution to this problem is to convert human mechanical energy into electricity to power wearable electronic ***,it is greatly attractive to design flexible,foldable and even stretchable energy harvesting ***,we use the electrospinning and kirigami approach to develop a type of highly stretchable kirigami-patterned nanofiber-based triboelectric nanogenerator(K-TENG).Due to its innovative structural design,the K-TENG can achieve a tensile strain of 220%,independent of the tensile properties of the material *** a person swings their arms,the K-TENG fixed to the clothing can convert mechanical energy from human movement into electrical *** produced electricity can directly drive 50 LED lights and a digital watch,or be stored in a lithium battery to charge the smartwatch and smartphone,*** study employs a new method to fabricate a stretchable triboelectric nanogenerator and demonstrates its promising applications in wearable power technology.

关键词： stretchable triboelectric nanogenerators kirigami energy harvesting

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Nutritional Assessment Tools for Patients with Cancer:A Narrative Review

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Current Medical Science 2024年第1期44卷 71-80页

作者： Peng-peng WANG Kim Lam Soh Huzwah binti Khazaai chuan-yi ning Xue-ling HUANG Jia-xiang YU Jin-lian LIAO Faculty of Medicine and Health Sciences Universiti Putra MalaysiaSerdang 43400Malaysia NursingCollege of Guangxi Medical University Nanning 530021China Department of Biomedical Sciences Universiti Putra MalaysiaSerdang 43400Malaysia Department of Nursing The First Affiliated Hospital of Guangxi Medical UniversityNanning 530021China

Cancer patients are at high risk of malnutrition,which can lead to adverse health outcomes such as prolonged hospitalization,increased complications,and increased *** and timely nutritional assessment plays a critical role in effectively managing malnutrition in these ***,while many tools exist to assess malnutrition,there is no universally accepted *** different tools have their own strengths and limitations,there is a lack of narrative reviews on nutritional assessment tools for cancer *** address this knowledge gap,we conducted a non-systematic literature search using PubMed,Embase,Web of Science,and the Cochrane Library from their inception until May 2023.A total of 90 studies met our selection criteria and were included in our narrative *** evaluated the applications,strengths,and limitations of 4 commonly used nutritional assessment tools for cancer patients:the Subjective Global Assessment(SGA),Patient-Generated Subjective Global Assessment(PG-SGA),Mini Nutritional Assessment(MNA),and Global Leadership Initiative on Malnutrition(GLIM).Our findings revealed that malnutrition was associated with adverse health *** of these 4 tools has its applications,strengths,and *** findings provide medical staff with a foundation for choosing the optimal tool to rapidly and accurately assess malnutrition in cancer *** is essential for medical staff to be familiar with these common tools to ensure effective nutritional management of cancer patients.

关键词： cancer malnutrition nutrition nutritional assessment tool

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社会养老保险遗属抚恤法治的反思与重塑

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思想战线 2024年第1期50卷 150-163页

作者：胡川宁西南政法大学经济法学院重庆401120

为解决私法制度在面对扶养义务人死亡风险时的失灵问题,现代社会养老保险制度自诞生伊始就涵盖了遗属抚恤。我国劳动保险也早在20世纪50年代就为非因工死亡参保人员遗属设立了抚恤制度。然而,这种劳动保险遗属抚恤制度已难以适应新时代... 详细信息

为解决私法制度在面对扶养义务人死亡风险时的失灵问题,现代社会养老保险制度自诞生伊始就涵盖了遗属抚恤。我国劳动保险也早在20世纪50年代就为非因工死亡参保人员遗属设立了抚恤制度。然而,这种劳动保险遗属抚恤制度已难以适应新时代的要求。我们亟须探索建立一套新型社会养老保险遗属抚恤制度,以充分发挥互助共济功能,实现死亡风险的社会化治理。其主要特点包括:制度模式上统一于由社会养老保险基金负责提供资金;遗属范围上与民法扶养义务人的范围保持一致;抚恤金申请上以遗属有抚恤必要为前提;死亡事由上具有无条件性;待遇标准上实现对民法扶养费的替代。

关键词：社会养老保险遗属抚恤互助共济私法失灵社会化治理

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全面抗战时期西南联大学生“兼差”及其影响研究

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巢湖学院学报 2024年第2期26卷 80-90页

作者：宁川南京师范大学历史系江苏南京210024

全面抗战爆发后,北大、清华、南开三校迫于形势内迁,并在昆明组建而成西南联合大学。联大学生在生活的苦难与压力以及各方救济无力的情形下,为维持生活与学业,只得被迫从事一系列社会“兼差”。“兼差”活动是联大学生日常生活的重要组... 详细信息

全面抗战爆发后,北大、清华、南开三校迫于形势内迁,并在昆明组建而成西南联合大学。联大学生在生活的苦难与压力以及各方救济无力的情形下,为维持生活与学业,只得被迫从事一系列社会“兼差”。“兼差”活动是联大学生日常生活的重要组成部分,从中可以管窥全面抗战时期大后方数以万计贫困学生群体的生活实态。文章通过对联大校史资料、校友回忆录、联大时人日记等材料的挖掘与分析,深入探析西南联大学生“兼差”自救的类型及影响,旨在深化西南联大相关研究。

关键词：抗日战争西南联大生活水平大学生兼差

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“1+N”模式在企业凝聚力文化建设中的实践探索

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冶金经济与管理 2024年第2期 54-56页

作者：韩宁川邯郸钢铁集团有限公司现代城市服务分公司河北邯郸056000

河钢集团邯钢公司现代城市服务分公司突出党建工作创新,在以凝聚力为主题的企业文化建设中,形成了独特的“1+N”模式,即以多维度思想调研为基础+以文化、暖心、创效等多载体系列活动为支撑,取得了良好效果。论述了凝聚力作为企业文化建... 详细信息

河钢集团邯钢公司现代城市服务分公司突出党建工作创新,在以凝聚力为主题的企业文化建设中,形成了独特的“1+N”模式,即以多维度思想调研为基础+以文化、暖心、创效等多载体系列活动为支撑,取得了良好效果。论述了凝聚力作为企业文化建设主题的意义;介绍了活动开展的背景;对“1+N”模式的内涵和实践进行了认真的探讨。

关键词：企业党建凝聚力企业文化 1+N模式

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Simulation of Horizontal-Two-Dimension Focused Waves Using A Two-Layer Boussinesq-Type Model

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China Ocean Engineering 2023年第5期37卷 725-737页

作者： ZOU Wen-feng WANG Ping LIU Zhong-bo FANG Ke-zhao SUN Jia-wen ZHANG ning-chuan Key Laboratory of coastal and offshore engineering Dalian University of TechnologyDalian 116024China State Environmental Protection Key Laboratory of Marine Ecosystem Restoration National Marine Environmental Monitoring CenterDalian 116023China Dalian Maritime University College of Transportation EngineeringDalian 116024China

Accurate simulation of the horizontal-two-dimension(H2D)focused wave group in deep water requires high accuracy of a numerical *** two-layer Boussinesq-type model(Liu and Fang,2016;Liu et al.,2018)with the highest spatial derivative of 2 has high accuracy in both linear and nonlinear *** on the further development of the velocity equations(Liu et al.,2023),the H2D numerical model for water waves is established with the prediction-correction-iteration model in the finite difference method,and a composite fourth-order Adams-Bashforth-Moulton scheme is used for time *** wave generation method proposed by Hsiao et al.(2005)is applied and calibrated in this H2D *** numerical calculations lead to the following three main conclusions:First,compared with the analytical solution of Stokes linear waves,the calculated velocity profiles show higher accuracy by using the improved velocity ***,the simulations of the focused multidirectional wave group are carried out,and good agreements are found,demonstrating that the present H2D numerical model shows high accuracy in simulating focused multidirectional wave groups,and the effectiveness of the improved velocity formulas is also ***,the velocity profiles throughout the computational domain at the time of maximum wave crest are ***,the FFT method is used to obtain the amplitude with different frequencies for several locations,and the changes of the wavelet energy spectrum at different locations are presented for several cases.

关键词： focused wave horizontal-two-dimension model finite difference method nonlinear property

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

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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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Knitted self-powered sensing textiles for machine learning-assisted sitting posture monitoring and correction

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Nano Research 2022年第9期15卷 8389-8397页

作者： Yang Jiang Jie An Fei Liang Guoyu Zuo Jia Yi chuan ning Hong Zhang Kai Dong Zhong Lin Wang Beijing Institute of Nanoenergy and Nanosystems Chinese Academy of SciencesBeijing 101400China School of Nanoscience and Technology University of Chinese Academy of SciencesBeijing 100049China Institute of Textiles and Clothing The Hong Kong Polytechnic University Hung HomKowloonHong Kong 999077China Faculty of Information Technology Beijing University of TechnologyBeijing 100124China School of Materials Science and Engineering Georgia Institute of TechnologyAtlantaGA 30332-0245USA

With increasing work pressure in modern society,prolonged sedentary positions with poor sitting postures can cause physical and psychological problems,including obesity,muscular disorders,and *** this paper,we present a self-powered sitting position monitoring vest(SPMV)based on triboelectric nanogenerators(TENGs)to achieve accurate real-time posture recognition through an integrated machine learning *** SPMV achieves high sensitivity(0.16 mV/Pa),favorable stretchability(10%),good stability(12,000 cycles),and machine washability(10 h)by employing knitted double threads interlaced with conductive fiber and nylon *** a knitted structure and sensor arrays that are stitched into different parts of the clothing,the SPMV offers a non-invasive method of recognizing different sitting postures,providing feedback,and warning users while enhancing long-term wearing *** achieves a posture recognition accuracy of 96.6%using the random forest classifier,which is higher than the logistic regression(95.5%)and decision tree(94.3%)*** TENG-based SPMV offers a reliable solution in the healthcare system for non-invasive and long-term monitoring,promoting the development of triboelectric-based wearable electronics.

关键词： posture monitoring knitted fabric triboelectric nanogenerator wearable electronics machine learning

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原发灶不明的淋巴结转移性浆细胞样黑色素瘤1例并文献复习

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诊断病理学杂志 2024年第5期31卷 429-431页

作者：刘远玲张宁川王伟徐钢徐基成资阳市人民医院病理科四川资阳641300 资阳市人民医院骨科四川资阳641300 四川省人民医院病理科成都610072 四川省妇幼保健院病理科成都610045

黑色素瘤是一种起源于黑素细胞谱系的侵袭性皮肤恶性肿瘤。它表现为侵袭性生长模式,容易扩散,特别是发生淋巴结转移。黑色素瘤的病理形态学表现多样,当其转移到淋巴结时,淋巴结内转移瘤的细胞形态也各不相同。免疫组织化学染色的运用对... 详细信息

黑色素瘤是一种起源于黑素细胞谱系的侵袭性皮肤恶性肿瘤。它表现为侵袭性生长模式,容易扩散,特别是发生淋巴结转移。黑色素瘤的病理形态学表现多样,当其转移到淋巴结时,淋巴结内转移瘤的细胞形态也各不相同。免疫组织化学染色的运用对于黑色素瘤的诊断与鉴别诊断具有重要的意义。然而,并非所有的黑色素瘤细胞均表达黑色素细胞标记,有的只是部分表达甚至表达缺失。

关键词：黑色素瘤淋巴结转移浆细胞样原发灶不明免疫组化

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Continuous Preparation of Chitosan‑Based Self‑Powered Sensing Fibers Recycled from Wasted Materials for Smart Home Applications

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Advanced Fiber Materials 2022年第6期4卷 1584-1594页

作者： Yingying Li chuanhui Wei Yang Jiang Renwei Cheng Yihan Zhang chuan ning 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 101400People’s Republic of China Center On Nanoenergy Research School of Physical Science and TechnologyGuangxi UniversityNanning 530004People’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

Currently,the gradual depletion of fossil resources and the large amount of plastic waste are causing serious harm to the land and marine *** rapid development of wearable smart fibers is accompanied by rapid growth in the material demand for fibers,and the development of green and high-performance biomass-based fibers has become an important research topic to reduce the dependence on synthetic fiber materials and the harm to the ***,chitosan is first prepared from the waste material by chemical *** the chitosan-based self-powered induction fibers are prepared by electrospinning core wire ***-based self-powered sensing fiber is ultra-light and flexible,which can achieve about 2500 collisions without damaging the ***-based self-powered sensing fiber can also be used in smart home sensing applications to control home appliance switches with a light touch,which has a great application prospect in smart home and wearable fields.

关键词： Recycled wasted materials Chitosan nanofibers Electrospinning Self-powered sensing Smart home

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