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science china(Information sciences) 2011年第3期54卷 460-468页

作者： li hongbo , sun zengqi, min haibo & deng jianqiu department of computer science and technology,{3., Beijing 100084, china 1. department of computer science and{3. Tsinghua University Beijing 100084 China

In this paper, a fuzzy dynamic characteristic modeling and adaptive control method is proposed for a class of nonlinear systems. By employing fuzzy dynamic characteristic model, the controlled plant is described as a slowly time-varying fuzzy system, wherein the parameters are estimated online by using recursive Least-Squares algorithm. Under this framework, a fuzzy adaptive controller is constructed, and the stability condition of the closed-loop system is also derived. The main advantage of the proposed method lies in no requirement for the prior knowledge of system model and less parameters to tune, which allows engineers to operate it in a simple, straightforward manner. The proposed method is applied to the control of hypersonic vehicle, and simulation results are given to demonstrate the effectiveness of the obtained results.

关键词： fuzzy control dynamic characteristic model adaptive control hypersonic vehicle

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机构伦理审查信息化管理系统的建设与实践

中国医学伦理学 2024年第2期37卷 219-223页

作者：张露远李翀邓志勇李红英朱晓旭陈旻吕维玲周蓦江苏大学附属昆山市第一人民医院伦理办公室江苏昆山215300 苏州大学附属第一医院科技处/伦理办公室江苏苏州215006 苏州大学计算机科学与技术学院江苏苏州215000 福建医科大学卫生管理学院福建福州350122 河南大学淮河医院伦理办公室河南开封475000 苏州市立医院本部伦理办公室江苏苏州215000

随着社会进步,科技研发活动全球化发展,医疗机构伦理委员会审查项目日益增多,电子信息化的建设及管理显得异常重要。在机构伦理审查电子信息化建设的过程中应基于科技伦理治理的新政策,考虑机构伦理委员会的制度和标准操作规程,并结合... 详细信息

随着社会进步,科技研发活动全球化发展,医疗机构伦理委员会审查项目日益增多,电子信息化的建设及管理显得异常重要。在机构伦理审查电子信息化建设的过程中应基于科技伦理治理的新政策,考虑机构伦理委员会的制度和标准操作规程,并结合工作实际制定合理的流程,简化人工操作,提高项目管理的准确性,做到精细化管理,方便研究者、伦理委员会秘书及委员的沟通交流。

关键词：机构伦理委员会伦理审查信息化科技伦理治理

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CEPC Technical Design Report

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Radiation Detection technology and Methods 2024年第1期8卷 I0003-I0016,1-1091页

作者： Waleed Abdallah Tiago Carlos Adorno de Freitas Konstantin Afanaciev Shakeel Ahmad Ijaz Ahmed Xiaocong Ai Abid Aleem Wolfgang Altmannshofer Fabio Alves Weiming An Rui An Daniele Paolo Anderle Stefan Antusch Yasuo Arai Andrej Arbuzov Abdesslam Arhrib Mustafa Ashry Sha Bai Yu Bai Yang Bai Vipul Bairathi Csaba Balazs Philip Bambade Yong Ban Tripamo Bandyopadhyay Shou-Shan Bao Desmond P.Barber Ayse Bat Varvara Batozskaya Subash Chandra Behera Alexander Belyaev Michele Bertucci Xiao-Jun Bi Yuanjie Bi Tianjian Bian Fabrizio Bianchi Thomas Biekotter Michela Biglietti Shalva Bilanishvili deng Binglin Denis Bodrov Anton Bogomyagkov Serge Bondarenko Stewart Boogert Maarten Boonekamp Marcello Borri Angelo Bosotti Vincent Boudry Mohammed Boukidi Igor Boyko Ivanka Bozovic Giuseppe Bozzi Jean-Claude Brient Anastasiia Budzinskaya Masroor Bukhari Vladimir Bytev Giacomo Cacciapaglia Hua Cai Wenyong Cai Wujun Cai Yijian Cai Yizhou Cai Yuchen Cai Haiying Cai Huacheng Cai Lorenzo Calibbi Junsong Cang Guofu Cao Jianshe Cao Antoine Chance Xuejun Chang Yue Chang Zhe Chang Xinyuan Chang Wei Chao Auttakit Chatrabhuti Yimin Che Yuzhi Che Bin Chen Danping Chen Fuqing Chen Fusan Chen Gang Chen Guoming Chen Hua-Xing Chen Huirun Chen Jinhui Chen Ji-Yuan Chen Kai Chen Mali Chen mingjun Chen mingshui Chen Ning Chen Shanhong Chen Shanzhen Chen Shao-Long Chen Shaomin Chen Shiqiang Chen Tianlu Chen Wei Chen Xiang Chen Xiaoyu Chen Xin Chen Xun Chen Xurong Chen Ye Chen Ying Chen Yukai Chen Zelin Chen Zilin Chen Gang Chen Boping Chen Chunhui Chen Hok Chuen Cheng Huajie Cheng Shan Cheng Tongguang Cheng Yunlong Chi Pietro Chimenti Wen Han Chiu Guk Cho ming-Chung Chu Xiaotong Chu Ziliang Chu Guglielmo Coloretti Andreas Crivellin Hanhua Cui Xiaohao Cui Zhaoyuan Cui Brunella D'Anzi ling-Yun Dai Xinchen Dai Xuwen Dai Antonio De Maria Nicola De Filippis Christophe De La Taille Francesca De Mori Chiara De Sio Elisa Del Core Shuangxue deng Wei-Tian deng Zhi deng Ziyan deng Bhupal Dev Tang Dewen Biagio Di Micco Ran Ding Siqin Dingl Yadong Ding Haiyi Dong Jianin AGH university of science and technology Faculty of Physics and Applied Computer ScienceKrakow Anhui university HefeiAnhui Applied Physics department Federal Urdu University of ArtsScience and TechnologyIslamabad Banaras Hindu university Institute of ScienceVaranasi Bandirma Onyedi Eylul university Bandirma Beihang university Beijing Beijing Computational science Research Center Beijing Beijing Conveyi LTD Beijing Beijing Glass Research Institute Co. LtdBeijing Beijing Institute of technology Beijing Beijing Normal university Beijing Brown university ProvidenceRI Budker Institute of Nuclear Physics Novosibirsk Cadi Ayyad university Laboratory of Fundamental and Applied PhysicsPolydisciplinary FacultyMarrakech Cairo university Giza Center for Theory and Computation National Tsing Hua UniversityHsinchu Central china Normal university WuhanHubei Central South university ChangshaHunan Centro de Fisica Teorica de Particulas Universidade Tecnica de LisboaLisboa Chengdu KaitengSifang Digital Radio&TV Equipment Co. LtdChengduSichuan china academy of engineering physics MianyangSichuan china building materials academy Beijing china Center of Advanced science and technology Beijing china Institute of Atomic Energy Beijing china Jiliang university HangzhouZhejiang china Nuclear Instrument CO. LTDBeijing china university of Geosciences Beijing china university of Geosciences WuhanHubei china university of mining and {3. XuzhouJiangsu china West Normal university NanchongSichuan Chongqing university Department of PhysicsChongqing Chulalongkorn university Bangkok City university of Hong Kong Department of PhysicsHong Kong Cockcroft Institute Daresbury Cornell university IthacaNY CPPM(AMU/IPhU&CNRS/INP) Marseille Dalian minzu university DalianLiaoning Dalian university of technology Department of PhysicsDalian Deutsches Elektronen-Synchrotron DESY Hamburg Dzhelepov Laboratory of Nuclear Problems of Joint Institute for Nuclear Research(DLNP JINR) Dubna East china university Of science And Technol

The Circular Electron Positron Collider(CEPC)is a large scientific project initiated and hosted by china,fostered through extensive collaboration with international *** complex comprises four accelerators:a 3. GeV linac,a 1.1 GeV Damping Ring,a Booster capable of achieving energies up to 180 GeV,and a Collider operating at varying energy modes(Z,W,H,and tt).The linac and Damping Ring are situated on the surface,while the subterranean Booster and Collider are housed in a 100 km circumference underground tunnel,strategically accommodating future expansion with provisions for a potential Super Proton Proton Collider(SPPC).The CEPC primarily serves as a Higgs *** its baseline design with synchrotron radiation(SR)power of 3. MW per beam,it can achieve a luminosity of 5×10^(3.)cm^(-2)s^(-1)per interaction point(IP),resulting in an integrated luminosity of 13.ab^(-1)for two IPs over a decade,producing 2.6 million Higgs *** the SR power to 50 MW per beam expands the CEPC's capability to generate 4.3.million Higgs bosons,facilitating precise measurements of Higgs coupling at sub-percent levels,exceeding the precision expected from the HL-LHC by an order of *** Technical Design Report(TDR)follows the Preliminary Conceptual Design Report(Pre-CDR,2015)and the Conceptual Design Report(CDR,2018),comprehensively detailing the machine's layout,performance metrics,physical design and analysis,technical systems design,R&D and prototyping efforts,and associated civil engineering ***,it includes a cost estimate and a preliminary construction timeline,establishing a framework for forthcoming engineering design phase and site selection *** is anticipated to begin around 2027-2028,pending government approval,with an estimated duration of 8 *** commencement of experiments and data collection could potentially be initiated in the mid-203.s.

关键词： initiated exceeding precise

White Matter Abnormalities in Major Depression Biotypes Identified by Diffusion Tensor Imaging

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Neuroscience Bulletin 2019年第5期35卷 867-876页

作者： Sugai liang Qiang Wang Xiangzhen Kong Wei deng Xiao Yang Xiaojing li Zhong Zhang Jian Zhang Chengcheng Zhang Xin-{3. li Xiaohong Ma Jun{3.g Shao Andrew J. Greenshaw Tao li Mental Health Centre West China Hospital Sichuan University Chengdu 610041 China Huaxi Brain Research Centre West China Hospital Sichuan University Chengdu 610041 China Language and Genetics department Max Planck Institute for Psycholinguistics 6525 XD Nijmegen Netherlands Big Data Research Center School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu 611731 China department of Psychiatry University of Alberta Edmonton T6G 2B7 Canada

Identifying data-driven biotypes of major depressive disorder(MDD) has promise for the clarification of diagnostic heterogeneity. However, few studies have focused on white-matter abnormalities for MDD subtyping. This study included 116 patients with MDD and118 demographically-matched healthy controls assessed by diffusion tensor imaging and neurocognitive *** clustering was applied to the major fiber tracts, in conjunction with tract-based spatial statistics, to reveal white-matter alterations associated with *** and neurocognitive differences were compared between identified subgroups and healthy controls. With fractional anisotropy extracted from 20 fiber tracts, cluster analysis revealed 3.subgroups based on the patterns of abnormalities. Patients in each subgroup versus healthy controls showed a stepwise pattern of white-matter alterations as follows: subgroup 1(25.9% of patient sample),widespread white-matter disruption;subgroup 2(43.1% of patient sample), intermediate and more localized abnormalities in aspects of the corpus callosum and left cingulate;and subgroup 3.3..0% of patient sample),possible mild alterations, but no statistically significant tract disruption after controlling for family-wise error. The neurocognitive impairment in each subgroup accompanied the white-matter alterations: subgroup 1, deficits in sustained attention and delayed memory;subgroup 2, dysfunction in delayed memory;and subgroup 3. no significant deficits. Three subtypes of white-matter abnormality exist in individuals with major depression, those having widespread abnormalities suffering more neurocognitive impairments, which may provide evidence for parsing the heterogeneity of the disorder and help optimize typespecific treatment approaches.

关键词： Major depressive disorder Hierarchal clustering Diffusion tensor imaging Biotype Heterogeneity

Artificial intelligence empowers the second-observer strategy for colonoscopy:a randomized clinical trial

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Gastroenterology Report 2023年第1期11卷 216-223页

作者： Pu Wang Xiao-Gang liu min Kang Xue Peng Mei-ling Shu Guan-Yu Zhou Pei-Xi liu Fei Xiong ming-ming deng Hong-Fen Xia Jian-Jun li Xiao-Qi Long Yan Song liang-Ping li department of Gastroenterology Sichuan Provincial People’s HospitalUniversity of Electronic Science and Technology of ChinaChengduSichuanP.R.China department of Gastroenterology The Affiliated Hospital of Southwest Medical UniversityLuzhouSichuanP.R.China department of Gastroenterology Xinqiao HospitalThird Military Medical UniversityChongqingP.R.China department of Gastroenterology Suining Central HospitalSuiningSichuanP.R.China

Background:In colonoscopy screening for colorectal cancer,human vision limitationsmay lead to highermiss rate of lesions;artificial intelligence(AI)assistance has been demonstrated to improve polyp ***,there still lacks direct evidence to demonstrate whether AI is superior to trainees or experienced nurses as a second observer to increase adenoma detection during *** this study,we aimed to compare the effectiveness of assistance fromAI and human observer during ***:A prospective multicenter randomized study was conducted from 2 September 2019 to 29 May 2020 at four endoscopy centers in *** patients were randomized to either computer-aided detection(CADe)-assisted group or observer-assisted *** primary outcome was adenoma per colonoscopy(APC).Secondary outcomes included polyp per colonoscopy(PPC),adenoma detection rate(ADR),and polyp detection rate(PDR).We compared continuous variables and categorical variables by using R studio(version 3.4.4).Results:A total of 1,261(63. in the CADe-assisted group and 625 in the observer-assisted group)eligible patients were ***(0.42 vs 0.3.,P=0.03.),PPC(1.13.vs 0.81,P3..4%,P3.vs 464,Plinical outcome of colonoscopy and reduce disturbance to routine practice(*** No.:ChiCTR190002523.).

关键词： artificial intelligence colon cancer screening adenoma early detection computer-aided detection

Electro-optic tuning of a single-frequencyultranarrow linewidth microdisk laser

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Advanced Photonics 2022年第3期4卷 105-113页

作者： Jintian lin Saeed Farajollahi Zhiwei Fang Ni Yao Renhong Gao Jianglin Guan li {3. Tao Lu min Wang Haisu Zhang Wei Fang lingling Qiao Ya Cheng Chinese Academy of sciences(CAS) Shanghai Institute of Optics and Fine Mechanics(SIOM)State Key Laboratory of High Field Laser Physics and CAS Center for Excellence in Ultra-Intense Laser ScienceShanghaiChina university of Chinese Academy of sciences Center of Materials Science and Optoelectronics EngineeringBeijingChina university of Victoria Department of Electrical and Computer EngineeringVictoriaBritish ColumbiaCanada East china Normal university School of Physics and Electronic ScienceXXL—The Extreme Optoelectromechanics LaboratoryShanghaiChina Research Center for Intelligent Sensing Zhejiang LabHangzhouChina Zhejiang university College of Optical Science and EngineeringThe Interdisciplinary Center for Quantum InformationState Key Laboratory of Modern Optical InstrumentationHangzhouChina East china Normal university State Key Laboratory of Precision SpectroscopyShanghaiChina Jiaxing Institute of Zhejiang university Intelligent Optics&Photonics Research CenterJiaxingChina Shanxi university Collaborative Innovation Center of Extreme OpticsTaiyuanChina Shandong Normal university Collaborative Innovation Center of Light Manipulations and ApplicationsJinanChina Shanghai Research Center for Quantum sciences Shang

Single-frequency ultranarrow linewidth on-chip microlasers with a fast wavelength tunability play a game-changing role in a broad spectrum of applications ranging from coherent communication,light detection and ranging,to metrology and *** and fabrication of such light sources remain a challenge due to the difficulties in making a laser cavity that has an ultrahigh optical quality(Q)factor and supports only a single lasing frequency ***,we demonstrate a unique single-frequency ultranarrow linewidth lasing mechanism on an erbium ion-doped lithium niobate(LN)microdisk through simultaneous excitation of high-Q polygon modes at both pump and laser *** the polygon modes are sparse within the optical gain bandwidth compared with the whispering gallery mode counterpart,while their Q factors(above 10 million)are even higher due to the significantly reduced scattering on their propagation paths,single-frequency lasing with a linewidth as narrow as 3.2 Hz is *** measured linewidth is three orders of magnitude narrower than the previous record in on-chip LN ***,enabled by the strong linear electro-optic effect of LN,real-time electro-optical tuning of the microlaser with a high tuning efficiency of∼50 pm∕100 V is demonstrated.

关键词： lasers lithium niobate microcavities integrated opti

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未来中学体育教师的知识结构

体育学刊 2001年第3期8卷 93-96页

作者：王维群钱铭佳廖玉光周佩瑜黄汉升王家宏李伟民刘绍曾邓树勋张琴苏州大学体育学院江苏苏州215021 香港教育学院体育与运动科学系福建师范大学体育系福建福州350007 上海师范大学体育卫生学院上海200234 北京体育大学北京100084 华南师范大学体育科学学院广东广州510631

未来中学体育教师合理的知识结构应包括普通基础知识、体育学科专业知识和体育专业教育知识等 3. 6个方面的 6 0门知识构成。第一类知识是结构的基础 ,是形成教师教学能力和学习另两类知识的基础知识 ;第二类知识是结构的核心 ,制约体... 详细信息

未来中学体育教师合理的知识结构应包括普通基础知识、体育学科专业知识和体育专业教育知识等 3. 6个方面的 6 0门知识构成。第一类知识是结构的基础 ,是形成教师教学能力和学习另两类知识的基础知识 ;第二类知识是结构的核心 ,制约体育教师教学、训练、科研、保健和社会活动等能力 ;第三类知识是结构的支架。

关键词：中学体育教师知识结构体育人文社会科学体育应用科学

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深度学习模型鲁棒性研究综述

计算机学报 2022年第1期45卷 190-206页

作者：纪守领杜天宇邓水光程鹏时杰杨珉李博浙江大学计算机科学与技术学院杭州310027 浙江大学控制科学与工程学院杭州310027 华为新加坡研究所新加坡138589 复旦大学计算机科学技术学院上海201203 伊利诺伊大学香槟分校计算机科学学院美国厄巴纳香槟61822

在大数据时代下,深度学习理论和技术取得的突破性进展,为人工智能提供了数据和算法层面的强有力支撑,同时促进了深度学习的规模化和产业化发展.然而,尽管深度学习模型在现实应用中有着出色的表现,但其本身仍然面临着诸多的安全威胁.为... 详细信息

在大数据时代下,深度学习理论和技术取得的突破性进展,为人工智能提供了数据和算法层面的强有力支撑,同时促进了深度学习的规模化和产业化发展.然而,尽管深度学习模型在现实应用中有着出色的表现,但其本身仍然面临着诸多的安全威胁.为了构建安全可靠的深度学习系统,消除深度学习模型在实际部署应用中的潜在安全风险,深度学习模型鲁棒性分析问题吸引了学术界和工业界的广泛关注,一大批学者分别从精确和近似的角度对深度学习模型鲁棒性问题进行了深入的研究,并且提出了一系列的模型鲁棒性量化分析方法.在本综述中,我们回顾了深度学习模型鲁棒性分析问题当前所面临的挑战,并对现有的研究工作进行了系统的总结和科学的归纳,同时明确了当前研究的优势和不足,最后探讨了深度学习模型鲁棒性研究以及未来潜在的研究方向.

关键词：深度学习对抗样本鲁棒性分析人工智能安全

Study design of deep learning based automatic detection of cerebrovascular diseases on medical imaging: a position paper from Chinese Association of Radiologists

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Intelligent Medicine 2022年第4期2卷 221-229页

作者： Longjiang Zhang Zhao Shi min Chen Yingmin Chen Jingliang Cheng li Fan Nan Hong Wenxiao Jia Guihua Jiang Shenghong Ju Xiaogang li Xiuli li Changhong liang Weihua liao Shiyuan liu Zaiming Lu lin Ma Ke Ren Pengfei Rong Bin Song Gang sun Rongpin Wang Zhibo Wen {13. Xu Kai Xu Fuhua Yan Yizhou Yu Yunfei Zha Fandong Zhang minwen Zheng Zhen Zhou Wenzhen Zhu Guangming Lu Zhengyu Jin on behalf of Chinese Association of Radiologists department of Radiology Affiliated Jinling HospitalMedical School of Nanjing UniversityNanjingJiangsu 210002China department of Radiology Beijing HospitalNational Center of GerontologyBeijing 100005China department of Radiology Hebei General HospitalShijiazhuangHebei 050199China department of Magnetic Resonance Imaging The First Affiliated Hospital of Zhengzhou UniversityZhengzhouHenan 450052China department of Medical Imaging and Nuclear Medicine Changzheng Hospital of Naval Medical UniversityShanghai 200072China department of Radiology Peking University People’s HospitalBeijing 100044China Imaging Center First AffiliatedHospital of Xinjiang Medical UniversityUrumqiXinjiang Uygur Autonomous Region 830054China department of Medical Imaging Guangdong Second Provincial General HospitalGuangzhouGuangdong 510050China department of Radiology Zhongda HospitalSchool of MedicineSoutheast UniversityNanjingJiangsu 211189China department of Radiology General Hospital of Northern Theater CommandShenyangLiaoning 110011China DeepWise AI lab.Beijing 100089 China department of Radiology Guangdong Provincial People’s HospitalGuangdong Academy of Medical SciencesGuangzhouGuangdong 519041China department of Radiology Xiangya HospitalCentral South UniversityChangshaHunan 410008China department of Radiology Shengjing Hospital of China Medical UniversityShenyangLiaoning 110001China department of Radiology Chinese PLA(People’s Liberation Army)General HospitalBeijing 100853China department of Radiology Xiang’an Hospital of Xiamen UniversitySchool of MedicineXiamen UniversityXiamenFujian 361005China department of Radiology Third Xiangya HospitalCentral South UniversityChangshaHunan 410013China department of Radiology Functional and Molecular Imaging Key Laboratory of Sichuan ProvinceWest China HospitalSichuan UniversityChengduSichuan 610044China department of Nuclear Medicine 960 Hospital of PLAJi’nanShandong 250012China department of Radiology Guizhou Provincial People’s Hosp

In recent years,with the development of artificial intelligence,especially deep learning technology,researches on automatic detection of cerebrovascular diseases on medical images have made tremendous progress and these models are gradually entering into clinical ***,because of the complexity and flexibility of the deep learning algorithms,these researches have great variability on model building,validation process,performance description and results *** lack of a reliable,consistent,standardized design protocol has,to a certain extent,affected the progress of clinical translation and technology development of computer aided detection *** reviewing a large number of literatures and extensive discussion with domestic experts,this position paper put forward recommendations of standardized design on the key steps of deep learning-based automatic image detection models for cerebrovascular *** further research and application expansion,this position paper would continue to be updated and gradually extended to evaluate the generalizability and clinical application efficacy of such tools.

关键词： Cerebrovascular diseases Deep learning Study design Medical imaging

基于CAE与RBF神经网络的固定体塑件注塑工艺优化

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塑料 2019年第1期48卷 82-87页

作者：邓其贵黄力韦彬贵柳州职业技术学院机电工程学院广西柳州545006 广西科技大学计算机学院广西柳州545006

针对保险杠固定体塑件注塑成型困难的问题,运用CAE仿真分析手段,首先对其采用3.点浇口进行浇注的方案模拟,得出了影响塑件注塑成型困难的主要问题:塑件中间部位设置的加强筋位置处,料流流动发生多次改变和多重叠加,导致注塑时熔体在此... 详细信息

针对保险杠固定体塑件注塑成型困难的问题,运用CAE仿真分析手段,首先对其采用3.点浇口进行浇注的方案模拟,得出了影响塑件注塑成型困难的主要问题:塑件中间部位设置的加强筋位置处,料流流动发生多次改变和多重叠加,导致注塑时熔体在此区域产生紊流和回旋滞留。将浇注系统优化为采用5个点浇口浇注方案,能有效消除中间部位所产生的紊流和回旋滞留问题。结合CAE仿真手段和RBF神经网络的预测功能,对5点浇注方案进行注塑成型工艺参数的优化。获得塑件注塑较合理的工艺参数组合为:料温(Tθ)=229℃,模温(Ts)=51℃,注塑压力(pI)=43.MPa,注塑时间(ti)=6. 64 s,第一段保压压力(ph1)=62 MPa,第一段保压时间(th1)=9 s,第二段保压压力(ph2)=3. MPa,第二段保压时间(th2)=5. 5 s,第三段保压压力(ph3.=3. MPa,第三段保压时间(th3.=4. 5 s,冷却水进口温度(Tw)=27℃,冷却液流速(Vw)=3. 2 L/min,冷却时间(tc)=18 s。经实际注塑试验,塑件的注塑效果良好,有效地解决了实际生产问题。

关键词： CAE仿真注塑成型浇注系统优化 RBF神经网络工艺参数