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Monolithic superaligned carbon nanotube composite with integrated rewriting, actuating and sensing multifunctions

Nano Research 2021年第7期14卷 2456-2462页

作者： Peidi Zhou Wei Zhang Luzhuo Chen Jian lin Zhiling Luo Changhong Liu kaili Jiang Fujian Provincial Key Laboratory of Quantum Manipulation and New Energy Materials College of Physics and EnergyFujian Normal UniversityFuzhou 350117China Fujian Provincial Collaborative Innovation Center for Advanced High-Field Superconducting Materials and Engineering Fuzhou 350117China Tsinghua-Foxconn Nanotechnology Research Center Department of PhysicsTsinghua UniversityBeijing 100084China State Key Laboratory of Low-Dimensional Quantum Physics Department of PhysicsTsinghua UniversityBeijing 100084China

Multifunctionality has become a mainstream trend in the development of smart clothing and flexible wearable devices.Nevertheless,it remains a grand challenge to realize multiple functions,such as sensing,actuating and information displaying,in one single multifunctional material.Here,we present one multifunctional integration strategy by employing monolithic superaligned carbon nanotube(SACNT)composite,which can leverage three different functions through fascinating features of SACNT.Firstly,by using thermochromic dye as a color-memorizing component and SACNT as a photothermal converter,the composite film can be utilized as a flexible rewritable medium.It demonstrates excellent rewriting performances(reversibility>500 times).Secondly,the composite can be tailored to fabricate an actuator,when its length direction is along the SACNT alignment.The actuator shows a bending-morphing when illuminated by near-infrared light.The morphing is attributed to a large difference in volume change between the SACNT and polymer when the SACNT absorbs the optical energy and heats the composite.Thirdly,owing to the unique anisotropy of SACNT,the composite is easily to be stretched in the direction perpendicular to the SACNT alignment,accompanied by a change in electrical resistance.Therefore,the composite is able to be used as a strain sensor.Finally,we fabricate two smart wearable devices to demonstrate the applications,which realize the functions of human-motion detection(sensing)and rewritable information display(rewriting)simultaneously.This multifunctional SACNT composite is expected to have potential applications in the next-generation wearable devices,smart clothing and so on.

关键词： carbon nanotube actuator sensor rewritable media multifunctional

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民事审判中算法自动化决策的风险规制

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昆明理工大学学报（社会科学版） 2023年第4期23卷 1-8页

作者：刘谢慈林凯莉湖南工业大学法学院湖南株洲412007

随着人工智能技术在司法领域的全面应用,其内嵌的算法风险逐渐进入大众视野。民事案件的特殊性导致算法自动化决策技术在应用过程中存在诸如算法同案识别不精准、基础数据不全面、技术依赖性难以克服等问题。为了确保算法自动化决策技... 详细信息

随着人工智能技术在司法领域的全面应用,其内嵌的算法风险逐渐进入大众视野。民事案件的特殊性导致算法自动化决策技术在应用过程中存在诸如算法同案识别不精准、基础数据不全面、技术依赖性难以克服等问题。为了确保算法自动化决策技术更好地助力民事审判,应从其潜在风险的生成机制着手,探讨人工智能算法如何影响民事审判。通过优化民事同案认定标准、完善基础数据库建设、限定技术使用限度等方式防范其可能产生的风险,在推动算法自动化决策技术在民事审判领域的深层应用的同时,关注各种司法形式之间的融合,保证算法自动化决策的准确性、透明性和公平性,从而真正实现人工智能司法的数字正义。

关键词：算法自动化决策民事审判审判数据风险规制数字正义

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纳米复合水凝胶在骨组织工程中的应用

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中国组织工程研究 2020年第34期24卷 5441-5446页

作者：余幸鸽林开利同济大学口腔医学院上海牙组织修复与再生工程中心上海市200072 上海交通大学医学院附属第九人民医院上海市200011

背景:纳米复合水凝胶是具有良好生物相容性和骨传导性能的仿生材料,在骨组织工程中广泛应用。目的:总结纳米颗粒的分类及纳米复合水凝胶在骨组织工程中的应用。方法:应用计算机对CNKI数据库、PubMed数据库、Web of Science数据库2000至2... 详细信息

背景:纳米复合水凝胶是具有良好生物相容性和骨传导性能的仿生材料,在骨组织工程中广泛应用。目的:总结纳米颗粒的分类及纳米复合水凝胶在骨组织工程中的应用。方法:应用计算机对CNKI数据库、PubMed数据库、Web of Science数据库2000至2019年发表的文献进行检索,中文检索关键词为"纳米复合材料,骨组织工程,纳米颗粒,水凝胶",英文检索关键词为"Nanocomposites;Bone Tissue Engineering;Nanoparticle;Hydrogels"。根据纳入和排除标准最终纳入69篇文献进行结果分析。结果与结论:①目前常作为纳米填料的纳米颗粒主要有碳基纳米颗粒、金属和金属氧化物纳米颗粒、聚合物纳米颗粒、磷酸钙基纳米颗粒;②纳米颗粒与水凝胶的复合能改善水凝胶的机械性能;③纳米复合水凝胶能促进种子细胞的黏附和成骨分化,从而应用于骨组织工程;④目前,纳米复合水凝胶在骨组织工程中的应用还存在纳米颗粒分散性差、骨组织工程中的血管化能力弱及材料降解速率难以调控等问题。

关键词：纳米复合材料骨组织工程纳米颗粒水凝胶组织工程干细胞成骨分化综述

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基于机器学习的磷石膏多孔陶瓷材料性能预测

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中国陶瓷 2023年第8期59卷 23-29页

作者：杨凯理龚伟蔺万鹏西南科技大学制造科学与工程学院绵阳621000 西南科技大学材料与化学学院绵阳621000

为探究磷石膏多孔陶瓷材料成分-制备工艺-性能之间定量关系进行研究。以磷石膏为发泡剂制备多孔陶瓷的实验数据,建立4种机器学习算法模型,对磷石膏多孔陶瓷材料数据集中的吸水率、体积密度、抗压强度、导热系数等4种性能参数进行预测,... 详细信息

为探究磷石膏多孔陶瓷材料成分-制备工艺-性能之间定量关系进行研究。以磷石膏为发泡剂制备多孔陶瓷的实验数据,建立4种机器学习算法模型,对磷石膏多孔陶瓷材料数据集中的吸水率、体积密度、抗压强度、导热系数等4种性能参数进行预测,比较各种学习方法的预测结果,并对实验阶段确定的最佳配比进行验证预测。实验表明:SVR-RBF算法可以对抗压强度、导热系数性能进行有效预测,验证预测误差分别为5.402%和0.725%;LMBP算法可以对吸水率、抗压强度性能进行有效预测,验证预测误差分别为0.29%和2.964%。

关键词：机器学习性能预测多孔陶瓷支持向量机神经网络

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Intelligent identification of two-dimensional nanostructures by machine-learning optical microscopy

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Nano Research 2018年第12期11卷 6316-6324页

作者： Xiaoyang lin Zhizhong Si Wenzhi Fu Jianlei Yang Side Guo Yuan Cao Jin Zhang Xinhe Wang Peng Liu kaili Jiang Weisheng Zhao Fert Beijing Research Institute School ofMicroelectronics & Beijing Advanced Innovation Center for Big Data and Brain Computing (BDBC)Beihang UniversityBeijing 100191China Beihang-GoertekJoint Microelectronics Institute Qingdao Research InstituteBeihang UniversityQingdao 266000China Fert Beijing Research Institute School of Computer Science and Engineering & Beijing Advanced Innovation Center for Big Data and Brain Computing (BDBC)Beihang UniversityBeijing 100191China State Key Laboratory of Low-Dimensional Quantum Physics Department of Physics & Tsinghua-Foxconn Nanotechnology Research CenterCollaborative Innovation Center of Quantum MatterTsinghua UniversityBeijing 100084China

Two-dimensional (2D) materials and their heterostructures, with wafer-scale synthesis methods and fascinating properties, have attracted significant interest and triggered revolutions in corresponding device applications. However, facile methods to realize accurate, intelligent, and large-area characterizations of these 2D nanostructures are still highly desired. Herein, we report the successful application of machine-learning strategy in the optical identification of 2D nanostructures. The machine-learning optical identification (MOI) method endows optical microscopy with intelligent insight into the characteristic color information of 2D nanostructures in the optical photograph. The experimental results indicate that the MOI method enables accurate, intelligent, and large-area characterizations of graphene, molybdenum disulfide, and their heterostructures, including identifications of the thickness, existence of impurities, and even stacking order. With the convergence of artificial intelligence and nanoscience, this intelligent identification method can certainly promote fundamental research and wafer-scale device applications of 2D nanostructures.

关键词： machine-learning optical identification two-dimensional (2D) material heterostructure artificial intelligence

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高校预防医学线上线下混合教学的挑战与对策

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中国继续医学教育 2022年第13期14卷 175-179页

作者：林凯莉雷雪萍广州医科大学公共卫生学院预防医学系广东广州511436 广州医科大学药学院分子与临床药理研究所广东广州511436

随着网络信息的普及,传统的线下教育已经无法满足高校的教学需求。线上与线下混合教学模式能够利用网络信息丰富教学内容,提高学习效率与教学质量,已成为我国高校改革的主流趋势。如何融合线上及线下教学方式,提高教学质量,这是全国高... 详细信息

随着网络信息的普及,传统的线下教育已经无法满足高校的教学需求。线上与线下混合教学模式能够利用网络信息丰富教学内容,提高学习效率与教学质量,已成为我国高校改革的主流趋势。如何融合线上及线下教学方式,提高教学质量,这是全国高校教育教学所面临的巨大挑战与机遇。实施线上与线下混合教学的早期存在高校管理与保障不足、教师缺乏经验、教学条件受限、学生参与度低下、监管困难等现实问题。文章将以广州医科大学的预防医学系的线上与线下混合教学模式实施阶段的客观实际,从高校、教师及学生三方参与者的角度出发,就高校有关线上与线下混合教学模式的部署与对策作经验总结,并提出应对线上与线下混合教学模式的挑战与提升教学效率的对策。希望此研究成果可以为全国高校线上与线下混合教学工作提供指导和借鉴参考。

关键词：高校线上线下混合式教学预防医学教学质量挑战对策教育

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A comparative study of proliferation and osteogenic differentiation of rat adipose-derived stem cells in β-tricalcium phosphate (β-TCP), forsterite (Mg_2SiO_4 ) and clinoenstatite (MgSiO_3)

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Chinese Science Bulletin 2013年第24期58卷 3033-3042页

作者： LENG Bin JIN XiaoGang lin QiuXia CHEN Lei WANG Yan DU ZhiYan lin kaili CHANG Jiang GU XiaoMing WANG ChangYong Department of Implantology of People's Armed Police General Hospital Department of Advanced Interdisciplinary Studies Institute of Basic Medical Sciences and Tissue Engineering Research Center Academy of Military Medical Sciences State Key Laboratory of High Performance Ceramics and Superfine Microstructure Shanghai Institute of Ceramics Chinese Academy of Sciences

In this study, the effects of forsterite and clinoenstatite powder extracts on the proliferation and osteogenic differentiation of rat adipose-derived stem cells (ASCs) were investigated and compared with the β-tricalcium phosphate (β-TCP) powder extracts. Methylthiazolyldiphenyl-tetrazolium bromide (MTT) assay and live-dead staining were performed to evaluate the viability and proliferation of rat ASCs. Osteogenic differentiation of rat ASCs were assayed by alkaline phosphatase (ALP) staining and ALP activity test. The expression of osteogenic marker genes (alkaline phosphatase (ALP), runt related transcription factor 2 (Runx2), collagen type Iα1 (Col1α1), secreted phosphoprotein1 (Spp1, osteopontin), integrin binding sialoprotein (Ibsp), bone gla protein (Bglap)) were detected by real-time polymerase chain reaction (PCR). The MTT assay and the live-dead staining showed that all the three ceramics possessed good cytocompatibility with rat ASCs. Furthermore, forsterite and clinoenstatite promoted the proliferation of rat ASCs compared with β-TCP. The results of the ALP activity test and the real-time PCR demonstrated that forsterite and clinoenstatite promoted the osteogenic differentiation of rat ASCs. These results suggested that forsterite and clinoenstatite are bioactive ceramics that may be used for preparation of bone tissue engineering (BTE) scaffolds.

关键词：脂肪干细胞成骨分化细胞增殖镁橄榄石 TCP相磷酸三钙 Mg2SiO4 MgSiO3

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Basal defense is enhanced in a wheat cultivar resistant to Fusarium head blight

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Journal of Integrative Agriculture 2024年第4期23卷 1238-1258页

作者： Xinlong Gao Fan Li Yikun Sun Jiaqi Jiang Xiaolin Tian Qingwen Li kaili Duan Jie lin Huiquan Liu Qinhu Wang State Key Laboratory for Crop Stress Resistance and High-Efficiency Production College of Plant ProtectionNorthwest A&F UniversityYangling 712100China

Fusarium head blight(FHB),mainly caused by the fungal pathogen Fusarium graminearum,is one of the most destructive wheat diseases.Besides directly affecting the yield,the mycotoxin residing in the kernel greatly threatens the health of humans and livestock.Xinong 979(XN979)is a widely cultivated wheat elite with high yield and FHB resistance.However,its resistance mechanism remains unclear.In this study,we studied the expression of genes involved in plant defense in XN979 by comparative transcriptomics.We found that the FHB resistance in XN979 consists of two lines of defense.The first line of defense,which is constitutive,is knitted via the enhanced basal expression of lignin and jasmonic acid(JA)biosynthesis genes.The second line of defense,which is induced upon F.graminearum infection,is contributed by the limited suppression of photosynthesis and the struggle of biotic stress-responding genes.Meanwhile,the effective defense in XN979 leads to an inhibition of fungal gene expression,especially in the early infection stage.The formation of the FHB resistance in XN979 may coincide with the breeding strategies,such as selecting high grain yield and lodging resistance traits.This study will facilitate our understanding of wheat-F.graminearum interaction and is insightful for breeding FHB-resistant wheat.

关键词： Fusarium head blight Xinong 979 lignin jasmonic acid photosynthesis Fusarium graminearum

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T-QoS-aware based parallel ant colony algorithm for services composition

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Journal of Systems Science & Complexity 2015年第5期28卷 1100-1106页

作者： lin Zhang kaili Rao Ruchuan Wang College of Computer Nanjing University of Posts and Telecommunications Institute of Computer Technology Nanjing University of Posts and Telecommunications Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks Key Lab of Broadband Wireless Communication and Sensor Network Technology Nangjing University of Posts and Telecommunications

In order to make cloud users get credible, high-quality composition of services, the trust quality of service aware(TQoS-aware) based parallel ant colony algorithm is proposed. Our approach takes the service credibility as the weight of the quality of service, then calculates the trust service quality T-QoS for each service, making the service composition situated in a credible environment. Through the establishment on a per-service T-QoS initialization pheromone matrix, we can reduce the colony's initial search time. By modifying the pheromone updating rules and introducing two ant colonies to search from different angles in parallel,we can avoid falling into the local optimal solution, and quickly find the optimal combination of global solutions. Experiments show that our approach can combine high-quality services and the improvement of the operational success rate. Also, the convergence rate and the accuracy of optimal combination are improved.

关键词：服务组合蚁群算法并行搜索组成感知质量服务质量局部最优解搜索时间

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单细胞RNA测序技术在肿瘤免疫微环境研究中的应用

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中国医学科学院学报 2020年第1期42卷 117-123页

作者：杨凯莉孙昭白春梅赵林中国医学科学院北京协和医学院北京协和医院肿瘤内科

肿瘤是具有高度复杂性的整体,理解肿瘤免疫微环境的组成和功能是指导有效肿瘤免疫治疗的前提。单细胞RNA测序可以在单细胞分辨率水平上检测细胞的转录水平,描述其功能状态,加深对肿瘤免疫微环境中各细胞类群组成和功能的理解。本文总结... 详细信息

肿瘤是具有高度复杂性的整体,理解肿瘤免疫微环境的组成和功能是指导有效肿瘤免疫治疗的前提。单细胞RNA测序可以在单细胞分辨率水平上检测细胞的转录水平,描述其功能状态,加深对肿瘤免疫微环境中各细胞类群组成和功能的理解。本文总结了近年来单细胞RNA测序技术在肿瘤免疫微环境研究中的应用。

关键词：单细胞RNA测序肿瘤免疫微环境肿瘤异质性细胞类群免疫抑制

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