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水体中的持久性有机污染物及其控制技术

化学与生物工程 2008年第1期25卷 12-14页

作者：周勤刘晋朱云 LIN C J 华南理工大学环境科学与工程学院广东广州510006 department of Civil Engineering Lamar University Beaumont TX 77710-0024

概括了持久性有机污染物(Persistent organic pollutants,POPs)的定义和种类,介绍了国内外水体中POPs的污染现状,对水体中POPs的特性和危害做了简要分析,并全面综述了POPs的控制技术。

关键词：持续性有机污染物危害控制技术

Preface:Security and safety in unmanned systems

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Security and Safety 2023年第4期2卷 4-5页

作者： Jian Sun Youmin Zhang Hong Chen Mou Chen Qinglei Hu School of Automation Beijing Institute of TechnologyBeijing 100081China department of Mechanical Industrial and Aerospace Engineering Concordia UniversityQuebec H3G 1M8Canada College of Electronic and Information Engineering Shanghai 201804China College of Automation Engineering Nanjing University of Aeronautics and AstronauticsNanjing 211106China School of Automation Science and Electrical Engineering Beihang UniversityBeijing 100191China

An unmanned system is defined as an electro-mechanical system capable of exerting its power to perform designated missions with no human operator *** to the development of digital design(artificial intelligence,control,etc.)and robotics in recent years,unmanned systems are making a revolution as an emerging technology with many different applications in the military,civilian,and commercial fields such as autonomous driving,medicine and healthcare,deep space exploration,and national security and defense.

关键词： system driving autonomous

Relevance of Protein Content within the Renal Scaffold for Kidney bioengineering and Regeneration

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Journal of Biomedical Science and Engineering 2017年第11期10卷 509-526页

作者： Fatima Guerrero Andres Carmona Rosa Ortega Sagrario Canadillas Rodolfo Crespo Concha Herrera Pedro Aljama Maimonides Institute of Biomedical Research of Cordoba CordobaSpain Anatomical Pathology Service Reina Sofia University HospitalCordobaSpain Cellular Therapy Unit Reina Sofia University HospitalCordobaSpain department of Nephrology Nephrology ServiceReina Sofia University HospitalCordobaSpain University of Cordoba CordobaSpain Hematology Departament Reina Sofia University HospitalCordobaSpain RETICs Red Renal Instituto de Salud Carlos IIIMadridSpain

Chronic kidney disease is currently a major public health problem around the world. Although hemodialysis increases survival of patients with end-stage renal disease, kidney transplantation remains the only potentially curative treatment. However, transplantation as a therapeutic option is limited by availability of suitable donor organs. This situation highlights the urgent need to find new and potentially inexhaustible sources of transplantable organs. Perfusion decellularizarion of whole organs is a novel approach to organ engineering and regeneration. In the present research, we used a continuous perfusion decellularization protocol to eliminate cellular componet of kidney and evaluated residual scaffold components after decellularizarion process by proteomics analysis. Our proteomic data show that this protocol results in incomplete removal of cellular proteins. However, unlike other authors, we assume that proteins retained within decellularized kidney scaffold could be the basis for specific homing and celular differentation in the recellularization process.

关键词： bioengineering Kidney Decellularization Scaffold Proteomic

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结合滤波与优化的无人机多传感器融合方法

中国科学：信息科学 2020年第12期50卷 1919-1931页

作者：代波何玉庆谷丰杨丽英徐卫良中国科学院沈阳自动化研究所机器人学国家重点实验室沈阳110016 中国科学院机器人与智能制造创新研究院沈阳110016 中国科学院大学北京100049 department of Mechanical Engineering University of AucklandAuckland 1010New Zealand

高精度实时状态估计是无人机安全飞行及执行各种任务的首要条件.多传感器(如视觉、惯性测量单元(IMU)和GPS等)融合可提高状态估计精度,并实现信息冗余,当其中某些传感器出现故障时,仍具有较好的鲁棒性.因此,本文提出结合滤波与优化的无... 详细信息

高精度实时状态估计是无人机安全飞行及执行各种任务的首要条件.多传感器(如视觉、惯性测量单元(IMU)和GPS等)融合可提高状态估计精度,并实现信息冗余,当其中某些传感器出现故障时,仍具有较好的鲁棒性.因此,本文提出结合滤波与优化的无人机多传感器融合方法,从而得到局部高精度、全局无漂移的状态估计.该方法主要分为卡尔曼(Kalman)滤波和全局优化两部分.卡尔曼滤波器作为主体融合框架,融合局部传感器(IMU)和全局传感器(经优化后的视觉、GPS、磁力计和气压计)信息得到全局位姿估计.由于卡尔曼滤波算法计算量较小,可以保证融合估计的实时性.全局优化则负责将有漂移的视觉惯性里程计信息与全局传感器(GPS,磁力计和气压计)融合对齐后,得到高精度的全局视觉估计.但优化输出会出现不连续且视觉处理存在延迟的问题.因此,将优化后的里程计再输入到卡尔曼滤波器中,从而得到高精度、实时无漂移的状态估计.最后结合具体无人机平台,进行了实际的飞行测试与定位实验,实验结果表明了本文方法的有效性和鲁棒性.

关键词：无人机传感器融合状态估计卡尔曼滤波全局优化

An artificial neuromorphic somatosensory system with spatio-temporal tactile perception and feedback functions

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npj Flexible Electronics 2022年第1期6卷 691-698页

作者： Fuqin Sun Qifeng Lu Mingming Hao Yue Wu Yue Li Lin Liu Lianhui Li Yingyi Wang Ting Zhang i-Lab Key Laboratory of Multifunctional Nanomaterials and Smart SystemsSuzhou Institute of Nano-Tech and Nano-Bionics(SINANO)Chinese Academy of Sciences(CAS)398 Ruoshui RoadSuzhouJiangsu 215123People’s Republic of China School of Chips XJTLU Entrepreneur College(Taicang)Xi’an Jiaotong-Liverpool University111 Ren’ai RoadSuzhouJiangsu 215123People’s Republic of China School of Nano-Tech and Nano-Bionics University of Science and Technology of China96 Jinzhai RoadHefeiAnhui 230026People’s Republic of China department of Health and Environmental Sciences Xi’an Jiaotong Liverpool University111 Ren’ai RoadSuzhou 215123People’s Republic of China Gusu Laboratory of Materials 388 Ruoshui RoadSuzhouJiangsu 215123People’s Republic of China Center for Excellence in Brain Science and Intelligence Technology Chinese Academy of SciencesShanghai 200031People’s Republic of China

The advancement in flexible electronics and neuromorphic electronics has opened up opportunities to construct artificial perception systems to emulate biological functions which are of great importance for intelligent robotics and human-machine ***,artificial systems that can mimic the somatosensory feedback functions have not been demonstrated yet despite the great achievement in this *** this work,inspired by human somatosensory feedback pathways,an artificial somatosensory system with both perception and feedback functions was designed and constructed by integrating the flexible tactile sensors,synaptic transistor,artificial muscle,and the coupling ***,benefiting from the synaptic characteristics of the designed artificial synapse,the system shows spatio-temporal information-processing ability,which can further enhance the efficiency of the *** research outcome has a potential contribution to the development of sensor technology from signal sensing to perception and cognition,which can provide a special paradigm for the next generation of bionic tactile perception systems towards e-skin,neurorobotics,and advanced bio-robots.

关键词： artificial system functions

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再生医学中器官生物打印的进展（英文）

Engineering 2024年第11期 121-142页

作者：王象张迪 Yogendra Pratap Singh Miji Yeo 邓国滔赖嘉琪陈飞 Ibrahim T.Ozbolat 于寅 Center for Materials Synthetic Biology Chinese Academy of Sciences Key Laboratory of Quantitative Engineering Biology Shenzhen Institute of Synthetic Biology Shenzhen Institute of Advanced Technology Chinese Academy of Sciences The Huck Institutes of the Life Sciences Pennsylvania State University University Park Engineering Science and Mechanics department Pennsylvania State University University Park department of Biomedical Engineering Pennsylvania State University University Park Materials Research Institute Pennsylvania State University University Park department of Neurosurgery Pennsylvania State College of Medicine Pennsylvania State Cancer Institute Pennsylvania State University University Park Biotechnology Research and Application Center Cukurova University

Organ damage or failure arising from injury, disease, and aging poses challenges due to the body's limited regenerative capabilities. Organ transplantation presents the issues of donor shortages and immune rejection risks, necessitating innovative solutions. The three-dimensional(3D) bioprinting of organs on demand offers promise in tissue engineering and regenerative medicine. In this review, we explore the state-of-the-art bioprinting technologies, with a focus on bioink and cell type selections. We follow with discussions on advances in the bioprinting of solid organs, such as the heart, liver, kidney, and pancreas,highlighting the importance of vascularization and cell integration. Finally, we provide insights into key challenges and future directions in the context of the clinical translation of bioprinted organs and their large-scale production.

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Edge enhanced depth perception with binocular meta-lens

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Opto-Electronic Science 2024年第9期3卷 4-13页

作者： Xiaoyuan Liu Jingcheng Zhang Borui Leng Yin Zhou Jialuo Cheng Takeshi Yamaguchi Takuo Tanaka Mu Ku Chen department of Electrical Engineering City University of Hong KongHong Kong SAR 999077China Centre for Biosystems Neuroscienceand NanotechnologyCity University of Hong KongHong Kong SAR 999077China The State Key Laboratory of Terahertz and Millimeter Waves and NanotechnologyCity University of Hong KongHong Kong SAR 999077China Innovative Photon Manipulation Research Team RIKEN Center for Advanced Photonics351-0198Japan Metamaterial Laboratory RIKEN Cluster for Pioneering Research351-0198Japan Institute of Post-LED Photonics Tokushima University770-8506Japan

The increasing popularity of the metaverse has led to a growing interest and market size in spatial computing from both academia and *** portable and accurate imaging and depth sensing systems is crucial for advancing next-generation virtual reality *** work demonstrates an intelligent,lightweight,and compact edge-enhanced depth perception system that utilizes a binocular meta-lens for spatial *** miniaturized system comprises a binocular meta-lens,a 532 nm filter,and a CMOS *** disparity computation,we propose a stereo-matching neural network with a novel *** H-Module incorporates an attention mechanism into the Siamese *** symmetric architecture,with cross-pixel interaction and cross-view interaction,enables a more comprehensive analysis of contextual information in stereo *** on spatial intensity discontinuity,the edge enhancement eliminates illposed regions in the image where ambiguous depth predictions may occur due to a lack of *** the assistance of deep learning,our edge-enhanced system provides prompt responses in less than 0.15 *** edge-enhanced depth perception meta-lens imaging system will significantly contribute to accurate 3D scene modeling,machine vision,autonomous driving,and robotics development.

关键词： metasurfaces meta-lenses deep learning depth perception edge detection

基于三重实时荧光聚合酶链反应构建黄牛和牦牛源性成分同步检测方法

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食品安全质量检测学报 2023年第16期14卷 187-195页

作者：木其勒 Bayarmaa Gun-Aajav 刘国强呼日特格希巴雅尔牛慧敏郭梁锡林郭勒职业学院锡林郭勒生物工程研究院锡林浩特026000 department of Biology School of Arts and SciencesNational University of MongoliaUlaanbaatar 14201 锡林郭勒盟食品科学与检测实验中心(锡林郭勒盟农畜产品检验检测中心) 锡林浩特026000

目的建立一种拥有内源质控的三重实时荧光聚合酶链反应(polymerase chain reaction,PCR)技术,用以快速鉴定肉和乳中黄牛和牦牛的源性成分。方法首先对黄牛肉、牦牛肉、黄牛奶、牦牛奶等7种动物产品进行特异性检测,同时通过稀释梯度方法... 详细信息

目的建立一种拥有内源质控的三重实时荧光聚合酶链反应(polymerase chain reaction,PCR)技术,用以快速鉴定肉和乳中黄牛和牦牛的源性成分。方法首先对黄牛肉、牦牛肉、黄牛奶、牦牛奶等7种动物产品进行特异性检测,同时通过稀释梯度方法验证此方法的绝对检出限(limit of detection,LOD),最后通过黄牛和牦牛肉掺假模拟试验确定该方法的相对灵敏度。结果该方法的特异性强,能特异性地检测到来源于黄牛和牦牛肉和乳的DNA,稳定扩增的内源质控有效地避免了假阴性结果,本方法针对黄牛奶的绝对LOD为2.5×10^(-3)5.0×10‒3 ng,针对牦牛奶的绝对LOD为2.5×10^(-3)5.0×10^(‒2)ng,本方法对黄牛肉和牦牛肉混合肉的相对灵敏度可达0.1%牦牛肉。结论所建立的三重实时荧光PCR方法特异性强、灵敏度高,可实现黄牛和牦牛源性以及内源质控的同步检测,又能通过内源质控排除实验假阴性结果。

关键词：三重实时荧光聚合酶链反应黄牛牦牛内源质控特异性灵敏度

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昆虫抗菌肽的作用机制与应用研究进展

化学与生物工程 2014年第3期31卷 1-4页

作者： Osama A O Elhag 宋旗郑龙玉喻子牛张吉斌华中农业大学农业微生物学国家重点实验室微生物农药国家工程研究中心湖北武汉430070 department of Biotechnology-Sc.&Tech-Omdurman Islamic University

抗菌肽是进化上保守的天然免疫应答成分并且在所有生物体中存在。其抗菌谱宽,对病原性的病毒、细菌、寄生虫和真菌等病原微生物都具有拮抗活性。来源于昆虫的抗菌肽通常是带阳离子的,一般少于100个氨基酸。昆虫抗菌肽的作用机制是通过... 详细信息

抗菌肽是进化上保守的天然免疫应答成分并且在所有生物体中存在。其抗菌谱宽,对病原性的病毒、细菌、寄生虫和真菌等病原微生物都具有拮抗活性。来源于昆虫的抗菌肽通常是带阳离子的,一般少于100个氨基酸。昆虫抗菌肽的作用机制是通过作用其多样性的靶标来实现的,包括破坏细胞膜、作用细胞质成分和干扰代谢等,但部分昆虫抗菌肽的抗菌机制仍未完全明确,深入了解抗菌肽作用机制将推进昆虫抗菌肽药物开发。对已发现的昆虫抗菌肽的作用机制及其应用进行了综述。

关键词：昆虫抗菌肽天然免疫应用作用机制