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Sequential Combination Methods for Data Clustering Analy.is

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Journal of Computer Science & Technology 2002年第2期17卷 118-128页

作者：钱涛 ching y.suen 唐远炎 Department of Computer Science Zhejiang University Hangzhou 310028 P.R. China Centre for Pattern Recognition and Machine Intelligence Concordia University Montreal Canada Department of Computer Science Hong Kong Baptist University Kowloon Tong Hong Kong P.R. China

This paper proposes the use of more than one clustering method to improve clustering performance. Clustering is an optimization procedure based on a specific clustering criterion. Clustering combination can be regardedasatechnique that constructs and processes multiple *** rather than competitive, combining these two ty.es of clustering criteria may.enhance theclustering performance. In our past work, a multi-objective programming based simultaneous clustering combination algorithmhasbeenproposed, which incorporates multiple criteria into an objective function by.a weighting method, and solves this problem with constrained nonlinear optimization programming. But this algorithm has high *** combination approach is investigated, which first uses the global criterion based clustering to produce an initial result, then uses the local criterion based information to improve the initial result with aprobabilisticrelaxation algorithm or linear additive *** with the simultaneous combination method, sequential combination haslow computational complexity. Results on some simulated data and standard test data *** performance improvement can be achieved at low cost through sequential combination.

关键词： clustering combination probabilistic relaxation linear additive model clus- tering criterion

Face Recognition Based on Adaptive Sparse Coefficient

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Journal of Donghua University.English Edition) 2016年第1期33卷 98-104页

作者：李洪均徐子能 suen ching-y.e School of Electronic Information Engineering Nantong University Centre for Pattern Recognition and Machine Intelligence Concordia University

Recently.robust sparse coding achieves high recognition rates on face recognition( FR),even when dealing with occluded images. However,robust sparse coding is that the coefficients are guaranteed global sparse when solving the sparse coefficients. In this paper,the coefficient vector is divided into multiple regions. Then,the elements in the object region are enabled to approximate global maximum by.adding two constraint conditions( the maximal element of coefficient vector is in the object region; the sum of elements in the object region is the maximum value among all regions),which makes the distribution of sparse coefficient adapt to different classes of testing images. The efficacy.of the proposed approach is verified on publicly.available databases( i. e.,AR and Extended y.le B).Furthermore, the proposed method still can achieve a good performance when the training samples are limited.

关键词： face recognition(FR) adaptive sparse coefficient occlusion

The parallel tetrameric DNA G-quadruplex formed by.the two-repeat C9orf72 GGGGCC sequence in solution Dedicated to Professor Chaohui y. on the occasion of his 80th birthday

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Magnetic Resonance Letters 2022年第4期2卷 196-204页

作者： Changdong Liu Bo Zhou Naining Xu Chun Po Fung Bing y.n Monica ching suen Zeguo Huang Guang Zhu Division of Life Science The Hong Kong University of Science and TechnologyClear Water BayKowloonHong Kong SAR00000China HKUST Shenzhen Research Institute Hi-Tech ParkNanshanShenzhen518057China Department of Oral and Maxillofacial Surgery Stomatological CenterPeking University Shenzhen HospitalShenzhen Peking University-The Hong Kong University of Science and Technology Medical CenterShenzhen518036China Hong Kong Branch of Guangdong Southern Marine Science and Engineering Laboratory.Guangzhou) Hong Kong University of Science and TechnologyClear Water BayKowloonHong Kong SAR00000China State Key.Laboratory.of Molecular Neuroscience The Hong Kong University of Science and TechnologyClear Water BayKowloonHong Kong SAR00000China

The abnormal expansion of G-rich hexanucleotide repeat,GGGGCC(G4C2),in chromosome 9 open reading frame 72(C9orf72)is known to be the prevailing genetic cause of two fatal degenerative neurological diseases,amy.trophic lateral sclerosis(ALS)and frontotemporal dementia(FTD).It is well known that the DNA G4C2 repeat expansion with different lengths can form G-quadruplexes which affect gene transcription related to ALS/FTD,therefore it is crucial to understand DNA G4C2 G-quadruplex ***,by.utilizing nuclear magnetic resonance(NMR)spectroscopy.we examined DNA G-quadruplex structure adopted by.two G4C2 hexanucleotide repeats with an inosine substitution at position 4,d(G4C2)*** show that d(G4C2)2-I4 folds into an eight-lay.r parallel tetrameric G-quadruplex containing two parallel dimeric G-quadruplexes stacking together through p-p interaction via 50-to-50 mode in *** dimeric G-quadruplex unit involves two propeller loops composed of two cy.osine *** result is consistent with the observation in the cry.tal structure of d(G4C2)*** work not only.sheds light on the structural diversity.of G-quadruplexes adopted by.d(G4C2)n but also provides a structural basis for drug design in treatment of ALS and FTD.

关键词： Hexanucleotide repeat G4C2 expansion G-quadruplex Amy.trophic lateral sclerosis(ALS) Frontotemporal dementia(FTD) Nuclear magnetic resonance(NMR)

Face Recognition Based on Maximum Sparse Coefficients of Object Region

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Face Recognition Based on Maximum Sparse Coefficients of Obj...

新型冠状病毒肺炎疫情中一次性使用医用口罩重复使用及消毒方法的可行性探讨

2015年中国智能自动化学术会议

作者： Zineng Xu Hongjun Li Xiangy. Jin ching y.suen School of Electronic Information Engineering Nantong University Centre for Pattern Recognition and Machine Intelligence Concordia University

Face recognition is an active topic in recognition sy.tems, while face occlusion is one of the most challenging problems for recognition. Recently. robust sparse coding achieved the state-of-the-art performance, especially.when dealing with occluded images. However, robust sparse coding is known that only.guarantees the coefficient is global sparse when solving sparse coefficients. In this paper,we enable the elements in the object region to approximate global maximum by.fitting the distribution of elements in the object region with successful *** efficacy.of the proposed approach is verified on publicly.available ***, our method can achieve much better performance when the training samples are limited.

关键词： Face recognition Maximum sparse coefficient Occlusion

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护理管理杂志 2020年第4期20卷 280-284页

作者：林清黄韵芝孙桂萍香港理工大学护理学院香港中山职业技术学院社会工作教研室中山市528400

经呼吸道飞沫传播可能是新型冠状病毒主要的传播途径,佩戴一次性使用医用口罩能有效减少呼吸道传染病人传人的机会,在一次性使用医用口罩缺乏的情况下是否能重复使用是当前公众关注的问题。文章归纳了国内的口罩种类及重复使用的观点及... 详细信息

经呼吸道飞沫传播可能是新型冠状病毒主要的传播途径,佩戴一次性使用医用口罩能有效减少呼吸道传染病人传人的机会,在一次性使用医用口罩缺乏的情况下是否能重复使用是当前公众关注的问题。文章归纳了国内的口罩种类及重复使用的观点及消毒方法,分析了现有消毒方法,包括紫外线、阳光、高温及化学消毒法可能存在的利弊。在新型冠状病毒肺炎疫情影响下,公众可以根据所处的地区、自身的健康情况,以及家庭中一次性使用医用口罩的存储量等情况综合考虑是否重复利用一次性使用医用口罩。

关键词：新型冠状病毒肺炎一次性使用医用口罩重复使用消毒

新型冠状病毒肺炎流行期间医护人员抑郁倾向影响因素研究

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护理管理杂志 2021年第7期21卷 485-490页

作者：黄韵芝张兴伟李道帆李玲孙桂萍林清中山职业技术学院中山市528400 中山市医学会老年医学专业委员会 528400 中山职业技术学院心理辅导站中山市528400 中山市博爱医院骨外科 528400 香港东华学院中国香港香港理工大学护理学院雪肌兰国际感染控制中心中国香港

目的探讨新型冠状病毒肺炎流行期间医护人员抑郁倾向的影响因素,为重大公共卫生事件发生时医护人员抑郁倾向的早期识别、早期干预提供依据。方法采用一般资料调查表和患者健康问卷对592名医护人员进行调查,采用Logistic回归分析进行抑... 详细信息

目的探讨新型冠状病毒肺炎流行期间医护人员抑郁倾向的影响因素,为重大公共卫生事件发生时医护人员抑郁倾向的早期识别、早期干预提供依据。方法采用一般资料调查表和患者健康问卷对592名医护人员进行调查,采用Logistic回归分析进行抑郁倾向影响因素分析。结果新型冠状病毒肺炎流行期间医护人员有抑郁倾向为78名,占13.18%,影响医护人员抑郁倾向的因素为个人防护装备是否充足、是否认为容易受感染、是否有类似症状以及是否害怕感染(P<0.05)。结论新型冠状病毒肺炎流行期间医护人员存在抑郁倾向,因此需要多部门合作,为医护人员提供合适的个人防护装备,同时加强各地区医护人员的社会支持与激励,帮助医护人员积极应对,提升心理健康水平。

关键词：新型冠状病毒肺炎疫情流行医护人员抑郁倾向

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急性农民肺症候群的一次暴发

上海第一医学院学报 1964年第3期 291-296页

作者：孙忠亮李华德饶纬华余美祺张镇南钟俊峯黄志强童骥郑佩枢中山医院肺病学教研组中山医院放射学教研组上海市青浦县血吸虫病防治站上海市青浦县人民医院

吸入外界刺激因子引起哮喘或类似哮喘的呼吸系病,临床上情况比较复杂。早年曾有吸入霉菌或其孢子引起的哮喘,剥陈木树皮吸入霉菌孢子引起呼吸困难和咳嗽等报导。甘蔗渣尘沉着症(Bagassosis)为吸入甘蔗渣的粉尘引起的呼吸困难、咳嗽、发... 详细信息

吸入外界刺激因子引起哮喘或类似哮喘的呼吸系病,临床上情况比较复杂。早年曾有吸入霉菌或其孢子引起的哮喘,剥陈木树皮吸入霉菌孢子引起呼吸困难和咳嗽等报导。甘蔗渣尘沉着症(Bagassosis)为吸入甘蔗渣的粉尘引起的呼吸困难、咳嗽、发绀甘等症状,可能亦与霉菌吸入有关。Campbell 首先报告吸入霉草尘埃引起的呼吸困难等症状。Fuller

关键词：霉草呼吸困难肺部霉菌病农民肺呼吸过敏症候群哮喘气喘病阻塞性肺疾病第一秒肺活量刺激性咳嗽刺激性干咳支气管周围炎初发症状

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 y.suo Arai Andrej Arbuzov Abdesslam Arhrib Mustafa Ashry.Sha Bai y. Bai y.ng Bai Vipul Bairathi Csaba Balazs Philip Bambade y.ng Ban Tripamo Bandy.padhy.y.Shou-Shan Bao Desmond P.Barber Ay.e Bat Varvara Batozskay. Subash Chandra Behera Alexander Bely.ev Michele Bertucci Xiao-Jun Bi y.anjie Bi Tianjian Bian Fabrizio Bianchi Thomas Biekotter Michela Biglietti Shalva Bilanishvili Deng Binglin Denis Bodrov Anton Bogomy.gkov Serge Bondarenko Stewart Boogert Maarten Boonekamp Marcello Borri Angelo Bosotti Vincent Boudry.Mohammed Boukidi Igor Boy.o Ivanka Bozovic Giuseppe Bozzi Jean-Claude Brient Anastasiia Budzinskay. Masroor Bukhari Vladimir By.ev Giacomo Cacciapaglia Hua Cai Weny.ng Cai Wujun Cai y.jian Cai y.zhou Cai y.chen Cai Haiy.ng Cai Huacheng Cai Lorenzo Calibbi Junsong Cang Guofu Cao Jianshe Cao Antoine Chance Xuejun Chang y.e Chang Zhe Chang Xiny.an Chang Wei Chao Auttakit Chatrabhuti y.min Che y.zhi Che Bin Chen Danping Chen Fuqing Chen Fusan Chen Gang Chen Guoming Chen Hua-Xing Chen Huirun Chen Jinhui Chen Ji-y.an 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 Xiaoy. Chen Xin Chen Xun Chen Xurong Chen y. Chen y.ng Chen y.kai Chen Zelin Chen Zilin Chen Gang Chen Boping Chen Chunhui Chen Hok Chuen Cheng Huajie Cheng Shan Cheng Tongguang Cheng y.nlong Chi Pietro Chimenti Wen Han Chiu Guk Cho Ming-Chung Chu Xiaotong Chu Ziliang Chu Guglielmo Coloretti Andreas Crivellin Hanhua Cui Xiaohao Cui Zhaoy.an Cui Brunella D'Anzi Ling-y.n 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 Ziy.n Deng Bhupal Dev Tang Dewen Biagio Di Micco Ran Ding Siqin Dingl y.dong Ding Haiy. Dong Jianin AGH University.of Science and Technology Faculty of Physics and Applied Computer ScienceKrakow Anhui University HefeiAnhui Applied Phy.ics Department Federal Urdu University of ArtsScience and TechnologyIslamabad Banaras Hindu University Institute of ScienceVaranasi Bandirma Ony.di Ey.ul University Bandirma Beihang University Beijing Beijing Computational Science Research Center Beijing Beijing Convey. LTD Beijing Beijing Glass Research Institute Co. LtdBeijing Beijing Institute of Technology Beijing Beijing Normal University Beijing Brown University ProvidenceRI Budker Institute of Nuclear Phy.ics Novosibirsk Cadi Ay.ad 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 phy.ics 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 Technology 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-Sy.chrotron 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 30 GeV Linac,a 1.1 GeV Damping Ring,a Booster capable of achieving energies up to 180 GeV,and a Collider operating at vary.ng 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 sy.chrotron radiation(SR)power of 30 MW per beam,it can achieve a luminosity.of 5×10^(34)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 lay.ut,performance metrics,phy.ical design and analy.is,technical sy.tems design,R&D and prototy.ing 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-2030s.

关键词： initiated exceeding precise