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| 1 | Gastrodin prevents steroid-induced osteonecrosis of the femoral head in rats by anti-apoptosis显示文摘 | Zheng Huifeng Yang Erping Peng Hao Li Jianping Chen Sen Zhou Jianlin Fang Hongsong Qiu Bo Wang Zhe | 2014 | Chinese Medical Journal2014，，22： | 17 |
| 2 | Performing optical logic operations by a diffractive neural network显示文摘Optical logic operations lie at the heart of optical computing,and they enable many applications such as ultrahighspeed information processing.However,the reported optical logic gates rely heavily on the precise control of input light signals,including their phase difference,polarization,and intensity and the size of the incident beams.Due to the complexity and difficulty in these precise controls,the two output optical logic states may suffer from an inherent instability and a low contrast ratio of intensity.Moreover,the miniaturization of optical logic gates becomes difficult if the extra bulky apparatus for these controls is considered.As such,it is desirable to get rid of these complicated controls and to achieve full logic functionality in a compact photonic system.Such a goal remains challenging.Here,we introduce a simple yet universal design strategy,capable of using plane waves as the incident signal,to perform optical logic operations via a diffractive neural network.Physically,the incident plane wave is first spatially encoded by a specific logic operation at the input layer and further decoded through the hidden layers,namely,a compound Huygens’metasurface.That is,the judiciously designed metasurface scatters the encoded light into one of two small designated areas at the output layer,which provides the information of output logic states.Importantly,after training of the diffractive neural network,all seven basic types of optical logic operations can be realized by the same metasurface.As a conceptual illustration,three logic operations(NOT,OR,and AND)are experimentally demonstrated at microwave frequencies. | Chao Qian Xiao Lin Xiaobin Lin Jian Xu Yang Sun Erping Li Baile Zhang Hongsheng Chen | 2020 | Light(Science & Applications)2020，9，1： | 8 |
| 3 | Concealing arbitrary objects remotely with multi-folded transformation optics显示文摘An invisibility cloak that can hide an arbitrary object external to the cloak itself has not been devised before.In this Letter,we introduce a novel way to design a remote cloaking device that makes any object located at a certain distance invisible.This is accomplished using multi-folded transformation optics to remotely generate a hidden region around the object that no field can penetrate and that does not disturb the far-field scattering electromagnetic field.As a result,any object in the hidden region can stay in position or move freely within that region and remain invisible.Our idea is further extended in order to design a remote illusion optics that can transform any arbitrary object into another one.Unlike other cloaking methods,this method would require no knowledge of the details of the object itself.The proposed multi-folded transformation optics will be crucial in the design of remote devices in a variety of contexts. | Bin Zheng Hamza Ahmad Madni Ran Hao Xianmin Zhang Xu Liu Erping Li Hongsheng Chen | 2016 | Light(Science & Applications)2016，5，1： | 3 |
| 4 | Scaling of structure failure 显示文摘 | Bazant Z P Chen Erping | 1997 | American Society of Mechanical Engineers1997，50，12： | 1 |
| 5 | Experimental Realization of an Extreme-Parameter Omnidirectional Cloak显示文摘An ideal transformation-based omnidirectional cloak always relies on metamaterials with extreme parameters,which were previously thought to be too difcult to realize.For such a reason,in previous experimental proposals of invisibility cloaks,the extreme parameters requirements are usually abandoned,leading to inherent scattering.Here,we report on the frst experimental demonstration of an omnidirectional cloak that satisfes the extreme parameters requirement,which can hide objects in a homogenous background.Instead of using resonant metamaterials that usually involve unavoidable absorptive loss,the extreme parameters are achieved using a nonresonant metamaterial comprising arrays of subwavelength metallic channels manufactured with 3D metal printing technology.A high level transmission of electromagnetic wave propagating through the present omnidirectional cloak,as well as signifcant reduction of scattering feld,is demonstrated both numerically and experimentally.Our work may also inspire experimental realizations of the other full-parameter omnidirectional optical devices such as concentrator,rotators,and optical illusion apparatuses. | Bin Zheng Yihao Yang Zheping Shao Qinghui Yan Nian-Hai Shen Lian Shen Huaping Wang Erping Li Costas MSoukoulis Hongsheng Chen | 2019 | Research2019，，1： | 1 |
| 6 | Scaling of structural failure显示文摘 | BAZANT Z P CHEN Erping | 1997 | Applied Mechanics Reviews1997，50，10： | 1 |
| 7 | Realizing transmitted metasurface cloak by a tandem neural network显示文摘Being invisible at will has been a long-standing dream for centuries, epitomized by numerous legends;humans have never stopped their exploration steps to realize this dream. Recent years have witnessed a breakthrough in this search due to the advent of transformation optics, metamaterials, and metasurfaces. However, the previous metasurface cloaks typically work in a reflection manner that relies on a high-reflection background, thus limiting the applications. Here, we propose an easy yet viable approach to realize the transmitted metasurface cloak, just composed of two planar metasurfaces to hide an object inside, such as a cat. To tackle the hard-to-converge issue caused by the nonuniqueness phenomenon, we deploy a tandem neural network(T-NN) to efficiently streamline the inverse design. Once pretrained, the T-NN can work for a customer-desired electromagnetic response in one single forward computation, saving a great amount of time. Our work opens a new avenue to realize a transparent invisibility cloak, and the tandem-NN can also inspire the inverse design of other metamaterials and photonics. | ZHENG ZHEN CHAO QIAN YUETIAN JIA ZHIXIANG FAN RAN HAO TONG CAI BIN ZHENG HONGSHENG CHEN ERPING LI | 2021 | Photonics Research2021，9，5： | 1 |
| 8 | Scaling of structural failure显示文摘 | BAZANT Z P CHEN Erping | 1997 | Applied Mechanics Reviews1997，50，10： | 1 |
| 9 | Scaling of structure failure 显示文摘 | Bazant Z P Chen Erping | 1997 | Ameri- can Society of Mechanical Engineers1997，50，10： | 1 |
| 10 | Application of BIM Technology in Rapid Modeling of Residential Building Design显示文摘Combining with engineering examples,this paper introduces BIM into architectural design model and adopts Revit rapid modeling.It focuses on realizing rapid combination modeling of similar components through secondary development,improving information conversion efficiency between engineering CAD and Revit building structure modeling,and quickly generating BIM structure construction drawings. | De Xu Erping Chen Fen Xu | 2019 | Frontiers Research of Architecture and Engineering2019，2，4： | 0 |
| 11 | Handwashing quality assessment via deep learning:a modelling study for monitoring compliance and standards in hospitals and communities显示文摘Background Hand hygiene can be a simple,inexpensive,and effective method for preventing the spread of infectious diseases.However,a reliable and consistent method for monitoring adherence to the guidelines within and outside healthcare settings is challenging.The aim of this study was to provide an approach for monitoring handwashing compliance and quality in hospitals and communities.Methods We proposed a deep learning algorithm comprising three-dimensional convolutional neural networks(3D CNNs)and used 230 standard handwashing videos recorded by healthcare professionals in the hospital or at home for training and internal validation.An assessment scheme with a probability smoothing method was also proposed to optimize the neural network’s output to identify the handwashing steps,measure the exact duration,and grade the standard level of recognized steps.Twenty-two videos by healthcare professionals in another hospital and 28 videos recorded by civilians in the community were used for external validation.Results Using a deep learning algorithm and an assessment scheme,combined with a probability smoothing method,each handwashing step was recognized(ACC ranged from 90.64%to 98.87%in the hospital and from 87.39%to 96.71%in the community).An assessment scheme measured each step’s exact duration,and the intraclass correlation coefficients were 0.98(95%CI:0.97-0.98)and 0.91(95%CI:0.88-0.93)for the total video duration in the hospital and community,respectively.Furthermore,the system assessed the quality of handwashing,similar to the expert panel(kappa=0.79 in the hospital;kappa=0.65 in the community).Conclusions This work developed an algorithm to directly assess handwashing compliance and quality from videos,which is promising for application in healthcare settings and communities to reduce pathogen transmis-sion. | Ting Wang Jun Xia Tianyi Wu Huanqi Ni Erping Long Ji-Peng Olivia Li Lanqin Zhao Ruoxi Chen Ruixin Wang Yanwu Xu Kai Huang Haotian Lin | 2022 | Intelligent Medicine2022，2，3： | 0 |
| 12 | Direct current remote cloak for arbitrary objects显示文摘Hiding an arbitrary object with a cloak at a distance from an object is of great significance in scientific research,but remains unrealized as a practical device.In this paper,we propose the first experimental realization of a remote cloaking device that makes any object located at a certain distance invisible at direct current(DC)frequency.A negative resistor network with active elements is used to achieve the remote function of the DC cloak.Based on this network,the cloak can remotely generate a hidden region without distorting the currents far from the cloaked region.The experimental results show that any object in the hidden region is invisible to a DC detector.Our cloak does not require any knowledge of the hidden object.The experimental demonstration shows the superiority of this remote cloaking device,which may find potential applications in medical or geologic research. | Tianhang Chen Bin Zheng Yihao Yang Lian Shen Zuojia Wang Fei Gao Erping Li Yu Luo Tie Jun Cui Hongsheng Chen | 2019 | Light(Science & Applications)2019，8，1： | 0 |
| 13 | Soil-Air Partitioning of Polychlorinated Biphenyls and Total Dichloro-Diphenyl-Trichloroethanes显示文摘Soil-air partitioning is an important diffusive process that affects the environmental fate of organic compounds and human health. In this review, factors affecting the soil-air partitioning of polychlorinated biphenyls(PCBs) and total dichloro-diphenyl-trichloroethanes(p,p'- and o,p'- isomers of DDT, DDD, and DDE) are discussed. Hydrophobicity is an important factor that influences soil-air partition coefficients(KSA), and its effect can be explained through enthalpy of phase change for soil-air partitioning transfer(ΔHSA). For more hydrophobic compounds, a sharp increase in the KSA of PCBs and organochlorines can be seen in the early aging period. During the aging period, the temperature has a significant effect on the more hydrophobic organic compounds. The content and properties of soil organic matter influence the KSA of the target compounds. Generally, KSA decreases with increasing relative humidity in soils. The linear trend between KSA and temperature(T) changes at 0 °C. Freezing the air or soil in experiments would change the research results. On the basis of factors influencing soil-air partitioning, a multipleparameter(T, organic carbon fraction(fOC), and octanol-air partition coefficient(KOA)) model is put forward to predict the KSA values for PCBs and total DDTs. | Yaping Zhang Erping Bi Honghan Chen | 2014 | Journal of Earth Science2014，25，4： | 0 |
| 14 | 人工智能白内障协同管理的通用平台显示文摘目的:建立和验证一个涉及多级临床场景的白内障协作通用的人工智能(artificial intelligence,AI)管理平台,探索基于AI的医疗转诊模式,以提高协作效率和资源覆盖率。方法:训练和验证的数据集来自中国AI医学联盟,涵盖多级医疗机构和采集模式。使用三步策略对数据集进行标记:1)识别采集模式;2)白内障诊断包括正常晶体眼、白内障眼或白内障术后眼;3)从病因和严重程度检测需转诊的白内障患者。此外,将白内障AI系统与真实世界中的居家自我监测、初级医疗保健机构和专科医院等多级转诊模式相结合。结果:通用AI平台和多级协作模式在三步任务中表现出可靠的诊断性能:1)识别采集模式的受试者操作特征(receiver operating characteristic curve,ROC)曲线下面积(area under the curve,AUC)为99.28%~99.71%);2)白内障诊断对正常晶体眼、白内障或术后眼,在散瞳-裂隙灯模式下的AUC分别为99.82%、99.96%和99.93%,其他采集模式的AUC均>99%;3)需转诊白内障的检测(在所有测试中AUC>91%)。在真实世界的三级转诊模式中,该系统建议30.3%的人转诊,与传统模式相比,眼科医生与人群服务比率大幅提高了10.2倍。结论:通用AI平台和多级协作模式显示了准确的白内障诊断性能和有效的白内障转诊服务。建议AI的医疗转诊模式扩展应用到其他常见疾病和资源密集型情景当中。 | WU Xiaohang HUANG Yelin LIU Zhenzhen LAI Weiyi LONG Erping ZHANG Kai JIANG Jiewei LIN Duoru CHEN Kexin YU Tongyong WU Dongxuan LI Cong CHEN Yanyi ZOU Minjie CHEN Chuan ZHU Yi GUO Chong ZHANG Xiayin WANG Ruixin YANG Yahan XIANG Yifan CHEN Lijian LIU Congxin XIONG Jianhao GE Zongyuan WANG Dingding XU Guihua DU Shaolin XIAO Chi WU Jianghao ZHU Ke NIE Danyao XU Fan LV Jian CHEN Weirong LIU Yizhi 林浩添 无 王厚硕(审校) 罗明杰(审校) | 2023 | 眼科学报2023，38，10： | 0 |
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