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A social computing method for energy safety

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Journal of Safety Science and Resilience 2024年第1期5卷 64-82页

作者： Pengfei Zhao Shuangqi Li Zhidong Cao Paul Jen-Hwa Hu Daniel Dajun Zeng Da Xie yichen shen Jiangfeng Li Tianyi Luo Institute of Automation Chinese Academy of SciencesUniversity of Chinese Academy of SciencesBeijing 100090China Systems Engineering Cornell UniversityIthacaNY 14853USA David Eccles School of Business the University of UtahUtahUSA Department of Electrical Engineering Shanghai Jiao Tong UniversityShanghai 200240China China University of Mining and Technology China

Information and communication technologies enable the transformation of traditional energy systems into cyber-physical energy systems(CPESs),but such systems have also become popular targets of ***,available methods for evaluating the impacts of cyberattacks suffer from limited resilience,efficacy,and practical *** mitigate their potentially disastrous consequences,this study suggests a two-stage,discrepancy-based optimization approach that considers both preparatory actions and response measures,integrating concepts from social *** proposed Kullback-Leibler divergence-based,distributionally robust optimization(KDR)method has a hierarchical,two-stage objective function that incorporates the operating costs of both system infrastructures(e.g.,energy resources,reserve capacity)and real-time response measures(e.g.,load shedding,demand-side management,electric vehicle charging station management).By incorporating social computing principles,the optimization framework can also capture the social behavior and interactions of energy consumers in response to *** preparatory stage entails day-ahead operational decisions,leveraging insights from social computing to model and predict the behaviors of individuals and communities affected by potential *** mitigation stage generates responses designed to contain the consequences of the attack by directing and optimizing energy use from the demand side,taking into account the social context and preferences of energy consumers,to ensure resilient,economically efficient CPES *** method can determine optimal schemes in both stages,accounting for the social dimensions of the *** original disaster mitigation model uses an abstract formulation to develop a risk-neutral model that characterizes cyberattacks through KDR,incorporating social computing techniques to enhance the understanding and response to cyber *** approach can mitigate the impacts more

关键词： Cyberattacks Cyber-physical energy systems Distributionally robust optimization False data injections Two-stage modeling Social computing

Role of Intraseasonal Oscillation in a Compound Drought and Heat Event over the Middle of the Yangtze River Basin during Midsummer 2018

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Journal of Meteorological Research 2022年第4期36卷 643-657页

作者： Chuhan LU yichen shen Yonghua LI Bo XIANG Yujing QIN Key Laboratory of Meteorological Disaster Ministry of EducationNanjing University of Information Science&TechnologyNanjing 210044 Chongqing Climate Center Chongqing 401147

In late July 2018, a compound drought and heat event(CDHE) occurred in the middle of the Yangtze River basin(MYRB) and caused great damage to the national economy. The CDHE over the MYRB has been documented to be linked with intraseasonal oscillations(ISOs) from different regions. However, specific roles of different ISOs on the development of the CDHE cannot be separated in the observational analysis. By using partial lateral forcing experiments driven by ISO in the Weather Research and Forecasting(WRF) model, we found that the midlatitude ISO generated by a westerly wave train in the upper troposphere played an important role in this heatwave and drought event in the northern MYRB, causing a regional average temperature rise of 1.65°C and intensification of drought over23.49% of the MYRB area. On the other hand, the ISO associated with the Pacific-Japan(PJ)-like teleconnection wave train in the lower troposphere induced a more pronounced impact on the event, causing an average temperature rise of 2.44°C, intensifying drought over 29.62% of the MYRB area. The MYRB was mainly affected by northward warm advection driven by the westward extension of the western North Pacific subtropical high in the early period of the CDHE development. In the late period, because of the establishment of a deep positive geopotential height field through the troposphere leading to intensive local subsidence, there was a remarkable temperature rise and moisture decrease in the MYRB. The results will facilitate a better understanding of the occurrence of CDHE and provide empirical precursory signals for subseasonal forecast of CDHE.

关键词： partial lateral forcing experiment compound drought and heat event meteorological drought composite index(MCI) middle of the Yangtze River basin(MYRB)

Comprehensive pathogenesis and clinical therapy in striae distensae: An overview and current perspective

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Chinese Journal of Plastic and Reconstructive Surgery 2022年第4期4卷 203-207页

作者： yichen shen Qianqian Pang Jinghong Xu Department of Plastic Surgery The First Affiliated HospitalZhejiang University School of MedicineHangzhou 310003ZhejiangChina Department of Plastic Surgery Hwa Mei HospitalUniversity of Chinese Academy of SciencesNingbo 315010ZhejiangChina

The pathogenesis of striae distensae(SD) is complicated and has not yet been fully elucidated. Hormonal changes,overstretched skin, and structural and functional changes in the skin may be crucial factors in the development of SD. Therapy aims to stimulate dermal collagen synthesis and improve skin texture. Mainstream treatments include topical medications, chemical peeling, laser and radiofrequency therapy, microdermabrasion, microneedle therapy, and filler injection therapy. In the present review, we summarize current perspectives on the pathogenesis and clinical therapy of SD.

关键词： Striae distensae Pathogenesis Clinical therapy

Long-term complications after liquid silicone injection:A case report and literature review

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Chinese Journal of Plastic and Reconstructive Surgery 2021年第4期3卷 189-192页

作者： yichen shen Qianqian Pang Jinghong Xu Department of Plastic Surgery The First Affiliated HospitalZhejiang University School of MedicineHangzhou 310009ZhejiangChina

Liquid silicone injection for cosmetic purposes has a long and notorious ***,reports of delayed and extensive lesions are ***,we report a case of long-term complications after the use of liquid silicone materials for the correction of facial *** this case,the complications of foreign body granulomas and unique silicone nodules lasting for more than 10 years were *** silicone injection can induce delayed adverse reactions,which are difficult to *** case presents the successful surgical treatment of a mass injection of liquid *** focus of treatment should be to remove the injected material and degenerated tissue as much as possible while protecting normal tissue and its *** open reconstructive surgery with an appropriate incision,postoperative scars can be ***,both functional and aesthetic outcomes can be achieved.

关键词： Facial filler Liquid silicone Delayed complications Foreign body granulomas

Inverse design of an integrated-nanophotonics optical neural network

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Science Bulletin 2020年第14期65卷 1177-1183,M0004页

作者： Yurui Qu Huanzheng Zhu yichen shen Jin Zhang Chenning Tao Pintu Ghosh Min Qiu Key Laboratory of 3D Micro/Nano Fabrication and Characterization of Zhejiang Province School of EngineeringWestlake UniversityHangzhou 310024China Institute of Advanced Technology Westlake Institute for Advanced StudyHangzhou 310024China State Key Laboratory of Modern Optical Instrumentation College of Optical Science and EngineeringZhejiang UniversityHangzhou 310027China Department of Physics Massachusetts Institute of TechnologyCambridgeMA 02139USA Electrical and Computer Engineering University of CaliforniaSan DiegoCA 92093USA

Artificial neural networks have dramatically improved the performance of many machine-learning applications such as image recognition and natural language processing. However, the electronic hardware implementations of the above-mentioned tasks are facing performance ceiling because Moore’s Law is slowing down. In this article, we propose an optical neural network architecture based on optical scattering units to implement deep learning tasks with fast speed, low power consumption and small *** optical scattering units allow light to scatter back and forward within a small region and can be optimized through an inverse design method. The optical scattering units can implement high-precision stochastic matrix multiplication with mean squared error < 10-4 and a mere 4*4 um2 ***, an optical neural network framework based on optical scattering units is constructed by introducing "Kernel Matrix", which can achieve 97.1% accuracy on the classic image classification dataset MNIST.

关键词： Optical neural networks Deep learning Inverse design Integrated nanophotonics Silicon photonics

Photonic matrix multiplication lights up photonicaccelerator and beyond

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Light(Science & Applications) 2022年第2期11卷 158-178页

作者： Hailong Zhou Jianji Dong Junwei Cheng Wenchan Dong Chaoran Huang yichen shen Qiming Zhang Min Gu Chao Qian Hongsheng Chen Zhichao Ruan Xinliang Zhang Wuhan National Laboratory for Optoelectronics Huazhong University of Science and TechnologyWuhan 430074China Department of Electronic Engineering The Chinese University of Hong KongShatinHong KongChina Lightelligence Hangzhou 311121China Institute of Photonic Chips University of Shanghai for Science and TechnologyShanghai 200093China Centre for Artificial-Intelligence Nanophotonics School of Optical-Electrical and Computer EngineeringUniversity of Shanghai for Science and TechnologyShanghai 200093China Interdisciplinary Center for Quantum Information State Key Laboratory of Modern Optical InstrumentationZJUHangzhou Global Scientific and Technological Innovation CenterZJU-UIUC InstituteZhejiang UniversityHangzhou 310027China Interdisciplinary Center of Quantum Information State Key Laboratory of Modern Optical Instrumentationand Zhejiang Province Key Laboratory of Quantum Technology and DeviceDepartment of PhysicsZhejiang UniversityHangzhou 310027China

Matrix computation,as a fundamental building block of information processing in science and technology,contributes most of the computational overheads in modern signal processing and artificial intelligence *** accelerators are designed to accelerate specific categories of computing in the optical domain,especially matrix multiplication,to address the growing demand for computing resources and *** matrix multiplication has much potential to expand the domain of telecommunication,and artificial intelligence benefiting from its superior *** research in photonic matrix multiplication has flourished and may provide opportunities to develop applications that are unachievable at present by conventional electronic *** this review,we first introduce the methods of photonic matrix multiplication,mainly including the plane light conversion method,Mach–Zehnder interferometer method and wavelength division multiplexing *** also summarize the developmental milestones of photonic matrix multiplication and the related ***,we review their detailed advances in applications to optical signal processing and artificial neural networks in recent ***,we comment on the challenges and perspectives of photonic matrix multiplication and photonic acceleration.

关键词： interferometer beyond matrix

脑卒中患者社会疏离感影响因素文献计量学分析

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中国初级卫生保健 2024年第2期38卷 34-37页

作者：于慧敏王伟刘静沈亦忱叶丽萍严非复旦大学公共卫生学院/国家卫生健康委员会卫生技术评估重点实验室上海200032 复旦大学附属闵行医院/上海市闵行区中心医院/复旦大学公共卫生学院闵行分院上海201199

目的:系统归纳影响脑卒中患者社会疏离感的因素,为采取针对性的干预措施提供参考,促进患者及早康复和回归社会。方法:利用计算机检索中英文文献数据库,检索时间为建库至2023年3月。由2名研究员独立筛选文献、提取资料和进行质量评价,归... 详细信息

目的:系统归纳影响脑卒中患者社会疏离感的因素,为采取针对性的干预措施提供参考,促进患者及早康复和回归社会。方法:利用计算机检索中英文文献数据库,检索时间为建库至2023年3月。由2名研究员独立筛选文献、提取资料和进行质量评价,归纳与总结纳入研究的基本情况与结果。结果:共纳入14项研究,涉及年龄、文化程度、抑郁、病耻感、社会支持、脑卒中史等29个影响因素,并将其归为个人因素、心理因素、社会因素及疾病因素4大类。结论:影响脑卒中社会疏离水平的主要因素有家庭月收入、病耻感、社会支持、脑卒中史,次要因素有居住地、抑郁、自我效能、心理弹性、症状负担、神经功能缺陷、日常生活活动能力、合并慢性病情况。其他尚存在争议的影响因素未来需开展更多高质量研究予以验证。

关键词：脑卒中社会疏离影响因素计量学分析

Three-Dimensional M-Shaped Resection for Nasal Alar Hypertrophy in Asian Patients

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Chinese Journal of Plastic and Reconstructive Surgery 2021年第1期3卷 1-4页

作者： Yiqing QIU Qingfang ZHAO Zhixiong CHEN yichen shen Mengmeng LUO Qiaoyun QIU Jinghong XU Department of Plastic Surgery The First Affiliated HospitalZhejiang University School of MedicineHangzhouZhejiang 310000China

Background Nasal alarplasty is an important component of esthetic rhinoplasty in *** two main surgical techniques that correct alar hypertrophy by reducing the height or length often leave external scars and are associated with a high relapse *** We developed a new technique,called three-dimensional(3D)M-shaped resection,which corrects both the nasal alar height and length and simultaneously minimizes external *** performed this procedure from January 2013 to September 2016 in 49 consecutive female patients diagnosed with saddle nose and nasal alar *** mean age was 28.6(range,18–40)*** patients had previously undergone simple *** alar length and height,nostril length and width,and maximal nose width were analyzed preoperatively and postoperatively from *** After a mean of 9(range,3–24)months of follow-up,surgery was considered successful in 46 women(94%)with good cosmetic *** three patients,nasal alar hypertrophy recurred(6 months postoperatively).There were no early complications such as hematomas,infections,skin or mucosal necrosis,or wound *** mean reductions postoperatively were 1.7 mm and 0.9 mm for nasal alar length and height,respectively,1.6 mm for both nostril length and width,and 3.5 mm for nose *** The 3D M-shaped resection for nasal alar hypertrophy effectively reduced hypertrophy in 94%of patients for up to 24 months,producing minimal external scars and good cosmetic *** is a simple and convenient technique that is an effective and safe option for nasal alarplasty.

关键词： Nasal alar hypertrophy Three-dimensional M-shaped resection Invisible external scars

Super-resolution diffractive neural network for alloptical direction of arrival estimation beyond diffraction limits

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Light(Science & Applications) 2024年第8期13卷 1602-1614页

作者： sheng Gao Hang Chen yichen Wang Zhengyang Duan Haiou Zhang Zhi Sun Yuan shen Xing Lin Department of Electronic Engineering Tsinghua UniversityBeijing 100084China Beijing National Research Center for Information Science and Technology Tsinghua UniversityBeijing 100084China

Wireless sensing of the wave propagation direction from radio sources lays the foundation for communication,radar,navigation,***,the existing signal processing paradigm for the direction of arrival estimation requires the radio frequency electronic circuit to demodulate and sample the multichannel baseband signals followed by a complicated computing process,which places the fundamental limit on its sensing speed and energy ***,we propose the super-resolution diffractive neural networks(S-DNN)to process electromagnetic(EM)waves directly for the DOA estimation at the speed of *** multilayer meta-structures of S-DNN generate super-oscillatory angular responses in local angular regions that can perform the all-optical DOA estimation with angular resolutions beyond the diffraction *** spatial-temporal multiplexing of passive and reconfigurable S-DNNs is utilized to achieve high-resolution DOA estimation over a wide field of *** S-DNN is validated for the DOA estimation of multiple radio sources over 5 GHz frequency bandwidth with estimation latency over two to four orders of magnitude lower than the state-of-the-art commercial devices in *** results achieve the angular resolution over an order of magnitude,experimentally demonstrated with four times,higher than diffraction-limited *** also apply S-DNN’s edge computing capability,assisted by reconfigurable intelligent surfaces,for extremely low-latency integrated sensing and communication with low power *** work is a significant step towards utilizing photonic computing processors to facilitate various wireless sensing and communication tasks with advantages in both computing paradigms and performance over electronic computing.

关键词： beyond optical network