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Fungal Diversity 2013年第6期63卷 1-313页

作者： Kevin D.Hyde E.B.Gareth Jones Jian-Kui Liu Hiran Ariyawansa Eric Boehm Saranyaphat Boonmee Uwe Braun Putarak Chomnunti Pedro W.Crous Dong-Qin Dai Paul Diederich Asha Dissanayake Mingkhuan Doilom Francesco Doveri Singang Hongsanan Ruvishika Jayawardena James D.Lawrey Yan-Mei Li Yong-Xiang Liu Robert Lücking Jutamart Monkai Lucia Muggia Matthew P.Nelsen Ka-Lai Pang Rungtiwa Phookamsak Indunil C.Senanayake Carol A.Shearer Satinee Suetrong Kazuaki Tanaka Kasun M.Thambugala Nalin N.Wijayawardene Saowanee Wikee Hai-Xia Wu Ying Zhang Begoña Aguirre-Hudson S.Aisyah Alias AndréAptroot Ali H.Bahkali Jose L.Bezerra D.Jayarama Bhat Erio Camporesi Ekachai Chukeatirote Cécile Gueidan David L.Hawksworth Kazuyuki Hirayama Sybren De Hoog Ji-Chuan Kang Kerry Knudsen Wen-Jing Li Xing-Hong Li Zou-Yi Liu Ausana Mapook Eric H.C.McKenzie Andrew N.Miller Peter E.Mortimer Alan J.L.Phillips Huzefa A.Raja Christian Scheuer Felix Schumm Joanne E.Taylor Qing Tian Saowaluck Tibpromma Dhanushka N.Wanasinghe Yong Wang Jian-Chu Xu Supalak Yacharoen Ji-Ye Yan Min Zhang Key Laboratory for Plant Biodiversity and Biogeography of East Asia(KLPB) Kunming Institute of BotanyChinese Academy of ScienceKunming 650201Yunnan China World Agroforestry Centre East Asia NodeHeilongtanKunming 650201China Institute of Excellence in Fungal Research Chiang Rai 57100Thailand School of Science Mae Fah Luang UniversityChiang Rai 57100Thailand Institute Ocean Earth Sciences Kuala Lumpur 50603SelangorMalaysia Department of Botany and Microbiology King Saudi UniversityRiyadhSaudi Arabia 42 Longacre Drive LivingstonNJ 07039USA Institut für Biologie Bereich Geobotanik und Botanischer GartenHerbariumMartin-Luther-UniversitätNeuwerk 2106099 Halle(Saale)Germany CBS-KNAW Fungal Biodiversity Centre Uppsalalaan 83584CT UtrechtThe Netherlands Musée National d’histoire Naturelle 25 rue Munster2160 LuxembourgLuxembourg Institute of Plant and Environment Protection Beijing Academy of Agriculture and Forestry SciencesBeijing 100097People’s Republic of China Via dei Funaioli 22 57126 LivornoItaly Department of Environmental Science and Policy George Mason University4400 University DriveFairfaxVA 22030-4444USA International Fungal Research and Development Centre Key Laboratory of Resource Insect Cultivation&Utilization State Forestry AdministrationKunming 650224People’s Republic of China The Research Institute of Resource Insects Chinese Academy of ForestryKunming 650224People’s Republic of China Guizhou Key Laboratory of Agricultural Biotechnology Guizhou Academy of Agricultural SciencesGuiyangGuizhou 550006People’s Republic of China Science and Education Integrative Research(Botany)The Field Museum1400 South Lake Shore DriveChicagoIL 60605-2496USA Institute of Plant Sciences University of GrazHolteigasse 68010 GrazAustria Department of Life Science University of TriesteVia L.Giorgieri 10TriesteItaly Committee on Evolutionary Biology University of Chicago1025 E.57th StreetChicagoIL 60637USA Institute ofMarine Biology and Center of Excellence for the Oceans Taiwan

Dothideomycetes comprise a highly diverse range of fungi characterized mainly by asci with two wall layers(bitunicate asci)and often with fissitunicate *** species are saprobes,with many asexual states comprising important plant *** are also endophytes,epiphytes,fungicolous,lichenized,or lichenicolous *** occur in terrestrial,freshwater and marine habitats in almost every part of the *** accept 105 families in Dothideomycetes with the new families Anteagloniaceae,Bambusicolaceae,Biatriosporaceae,Lichenoconiaceae,Muyocopronaceae,Paranectriellaceae,Roussoellaceae,Salsugineaceae,Seynesiopeltidaceae and Thyridariaceae introduced in this *** family is provided with a description and notes,including asexual and asexual states,and if more than one genus is included,the type genus is also *** family is provided with at least one figure-plate,usually illustrating the type genus,a list of accepted genera,including asexual genera,and a key to these genera.A phylogenetic tree based on four gene combined analysis add support for 64 of the families and 22 orders,including the novel orders,Dyfrolomycetales,Lichenoconiales,Lichenotheliales,Monoblastiales,Natipusillales,Phaeotrichales and *** paper is expected to provide a working document on Dothideomycetes which can be modified as new data comes to *** is hoped that by illustrating types we provide stimulation and interest so that more work is carried out in this remarkable group of fungi.

关键词： Acrospermales Asterinales Botryosphaeriales Capnodiales Dothideales Dyfrolomycetales Hysteriales Jahnulales Lichenoconiales Lichenotheliales Microthyriales Monoblastiales Myriangiales Mytilinidiales Natipusillales Patellariales Phaeotrichales Phylogeny Pleosporales Strigulales Taxonomy Trypetheliales Tubeufiales Type species Venturiales

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Genetic Polymorphism in GDF8 Region of HU Sheep Based on Microsatellite DNA

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Agricultural Science & Technology 2009年第4期10卷 68-71页

作者：吴文忠钱建共陈玲孙伟江苏省苏州市畜牧兽医站江苏苏州215128 扬州大学动物科学与技术学院江苏扬州225009

[ Objective ] This study was to analyze the genetic polymorphism in GDF8 Region of HU sheep. [Method] Four microsatellite loci including BMS1591, TEXAN-2, FCB128 and BM81124 mapped on GDF8 region of chromosome No. 2 of sheep that may be correlated with growth performance were chosen to detect the molecular genetics foundation of growth performance of Hu sheep. [ Result] Four microsatellite loci detected were high in heterozygosity, more in effective alleles number and rich in polymorphic information, all the three indices passed through the high polymorphic level （PIC 〉0.5）. [ Conclusion ] The four microsatellite loci detected could be used to estimate the genetic polymorphism of growth performance of Hu sheep.

关键词： Hu sheep GDFS Microsatellite DNA Growth performance

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Full-space Cloud of Random Points with a Scrambling Metasurface

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Light(Science & Applications) 2018年第1期7卷 467-474页

作者： Zile Li Qi Dai Muhammad Q.Mehmood Guangwei Hu Boris Luk’yanchuk Jin Tao Chenglong Hao Inki Kim Heonyeong Jeong Guoxing Zheng Shaohua Yu Andrea Alù Junsuk Rho Cheng-Wei Qiu School of Electronic Information Wuhan UniversityWuhan 430072China NOEIC State Key Laboratory of Optical Communication Technologies and NetworksWuhan Research Institute of Posts and TelecommunicationsWuhan 430074China Department of Electrical Engineering Information Technology University of the PunjabFerozpur Road54000 LahorePakistan Department of Electrical and Computer Engineering National University of Singapore4 Engineering Drive 3Singapore 117583Singapore Advanced Science Research Center City University of New YorkNew York 10031USA Data Storage Institute A*STAR(Agency for ScienceTechnology and Research)2 Fusionopolis Way#08-01Innovis 138634Singapore Department of Mechanical Engineering Pohang University of Science and Technology(POSTECH)Pohang 37673Republic of Korea Department of Chemical Engineering Pohang University of Science and Technology(POSTECH)Pohang 37673Republic of Korea National Institute of Nanomaterials Technology(NINT) Pohang 37673Republic of Korea

With the rapid progress in computer science,including artificial intelligence,big data and cloud computing,full-space spot generation can be pivotal to many practical applications,such as facial recognition,motion detection,augmented reality,*** opportunities may be achieved by using diffractive optical elements(DOEs)or light detection and ranging(LIDAR).However,DOEs suffer from intrinsic limitations,such as demanding depth-controlled fabrication techniques,large thicknesses(more than the wavelength),Lambertian operation only in half space,*** nevertheless relies on complex and bulky scanning systems,which hinders the miniaturization of the spot ***,inspired by a Lambertian scatterer,we report a Hermitian-conjugate metasurface scrambling the incident light to a cloud of random points in full space with compressed information density,functioning in both transmission and reflection *** 4044 random spots are experimentally observed in the entire space,covering angles at nearly 90°.Our scrambling metasurface is made of amorphous silicon with a uniform subwavelength height,a nearly continuous phase coverage,a lightweight,flexible design,and low-heat ***,it may be mass produced by and integrated into existing semiconductor foundry *** work opens important directions for emerging 3D recognition sensors,such as motion sensing,facial recognition,and other applications.

关键词： conjugate directions amorphous

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Study of backward terahertz radiation from intense picosecond laser–solid interactions using a multichannel calorimeter system

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High Power Laser Science and Engineering 2019年第1期7卷 47-53页

作者： H. Liu G.-Q. Liao Y.-H. Zhang B.-J. Zhu Z. Zhang Y.-T. Li G. G. Scott D. Rusby C. Armstrong E. Zemaityte P. Bradford N. Woolsey P. Huggard P. McKenna D. Neely Beijing National Laboratory for Condensed Matter Physics Institute of Physics Chinese Academy of Sciences School of Physical Sciences University of Chinese Academy of Sciences Key Laboratory for Laser Plasmas (MoE) and School of Physics and Astronomy Shanghai Jiao Tong University Collaborative Innovation Center of IFSA (CICIFSA) Shanghai Jiao Tong University Central Laser Facility Rutherford Appleton Laboratory Department of Physics SUPA University of Strathclyde Department of Physics York Plasma Institute University of York Space Science Department STFC Rutherford Appleton Laboratory

A multichannel calorimeter system is designed and constructed which is capable of delivering single-shot and broadband spectral measurement of terahertz(THz) radiation generated in intense laser–plasma interactions. The generation mechanism of backward THz radiation(BTR) is studied by using the multichannel calorimeter system in an intense picosecond laser–solid interaction experiment. The dependence of the BTR energy and spectrum on laser energy, target thickness and pre-plasma scale length is obtained. These results indicate that coherent transition radiation is responsible for the low-frequency component(3 THz) of BTR.

关键词： multichannel calorimeter backward terahertz radiation generation mechanisms

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SWM-DE:Statistical wavelet model for joint denoising and enhancement for multimodal medical images

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Medicine in Novel Technology and Devices 2023年第2期18卷 206-214页

作者： Idowu Paul Okuwobi Zhixiang Ding Jifeng Wan Jiajia Jiang School of Artificial Intelligence Guilin University of Electronic Technology#1 Jinji RoadGuilin541004China Department of Ophthalmology Affiliated Hospital of Guilin Medical University1#Zhiyuan RdGuilin541199China

Medical images are usually degraded by numerous noises during acquisition or transmission,which often causes low contrast leading to deterioration of image *** such,medical image denoising and enhancement has become a paramount routine *** overcome this problem,we propose a cutting-edge joint statistical and morphological model for the denoising and enhancement ***,we propose a statistical model in formulating the marginal distribution of the wavelet *** model is integrated into a Bayesian inference framework to develop a maximum a posterior(MAP)estimator of the noise-free *** on the statistical model,we eliminate the need for noise level estimation,and allows the model to automatically adapts to the observed image ***,we propose an adjustable morphological reconstruction model to eliminate known and unknown noises associated with medical images,while preserving the image *** these operations,the image is decomposed into several wavelet subbands to extract the illumination and detail *** image is then reconstructed based on the inverse wavelet to generate the enhanced noise-free *** results show that the proposed framework obtained high EME values of 41.04,48.81,47.81,and 45.75 for OCTA,FFA,CT,and X-ray imaging modalities,and performs better than the state-of-the-art *** proposed algorithm can effectively and efficiently enhance medical images,which will assist the clinicians in disease diagnosis,monitoring,and treatment.

关键词： Computer tomography Morphological reconstruction Medical images Wavelets transform

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Bridging localized electron states of pyrite-type C0S_(2) cocatalyst for activated solar H_(2) evolution

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Nano Research 2022年第1期15卷 202-208页

作者： Hengming Huang Chen Xue Zhenggang Fang Zhiliang Wang Bin Luo Menglong Sun Ling Zhou Kan Hu Jiahui Kou Lianzhou Wang Chunhua Lu Jiangsu Collaborative Innovation Center for Advanced Inorganic Function Composites Jiangsu National Synergetic Innovation Center for Advanced MaterialsState Key Laboratory of Materials-Oriented Chemical EngineeringCollege of Materials Science and EngineeringNanjing Tech UniversityNanjing 211816China Nanomaterials Centre School of Chemical EngineeringAustralian Institute for Bioengineering and NanotechnologyThe University of QueenslandQLD 4072Australia Research Institute for Electronic Science and Graduate School of Environmental Science Hokkaido UniversityHokkaido 001-0020Japan

The development of low-cost and high-active cocatalysts is one of the most significant links for photocatalytic water ***,a novel strategy of electron delocalization modulation for transition metal sulfides has been developed by anion hybridization.P-modified CoS_(2)(CoS_(2)|P)nanocrystals were firstly fabricated via a gas-solid reaction and coupled with CdS nanorods to construct a composite catalyst for solar H2 evolution reaction(HER).The CdS/CoS_(2)|P catalyst shows an HER rate of 57.8 pmol h-1,which is 18 times that of the bare CdS,8 times that of the CdS/CoS2,and twice that of Pt/*** reduced energy barrier and suppressed reverse reaction for HER on the catalyst have been predicted and explained by density functional theory(DFT)*** underlying design strategy of novel cocatalysts by electron delocalization modulation may shed light on the rational development of other advanced catalysts for energy conversion.

关键词： anion hybridization electron states cocatalyst photocatalysis water splitting

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在61比特可编程超导量子处理器上对量子多体态进行量子神经元感知（英文）

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Science Bulletin 2023年第9期 906-912页

作者：龚明黄合良王石宇郭楚李少炜吴玉林朱庆玲赵有为郭少俊钱浩然叶杨森查辰陈福升应翀余家乐范道金吴大超苏红邓辉荣皓张凯莉曹思睿林金徐昱孙丽华郭成李娜梁福田 Akitada Sakurai Kae Nemoto William J.Munro 霍永恒陆朝阳彭承志朱晓波潘建伟 Hefei National Research Center for Physical Sciences at the Microscale and School of Physical Sciences University of Science and Technology of China Shanghai Research Center for Quantum Science and CAS Center for Excellence in Quantum Information and Quantum Physics University of Science and Technology of China Hefei National Laboratory University of Science and Technology of China Henan Key Laboratory of Quantum Information and Cryptography Okinawa Institute of Science and Technology Graduate University National Institute of Informatics School of Multidisciplinary Science Department of Informatics SOKENDAI (the Graduate University for Advanced Studies) NTT Basic Research Laboratories and Research Center for Theoretical Quantum Physics

对具有不同性质和物相的多体量子态进行分类是量子多体物理学中最基本的任务之一.然而,由于巨大数量的相互作用的粒子所产生的指数级的复杂性,大规模量子态的分类对于经典的方法来说极具挑战性.本文提出了一种新的方法,称为量子神经元感...

对具有不同性质和物相的多体量子态进行分类是量子多体物理学中最基本的任务之一.然而,由于巨大数量的相互作用的粒子所产生的指数级的复杂性,大规模量子态的分类对于经典的方法来说极具挑战性.本文提出了一种新的方法,称为量子神经元感知.利用一个61比特的超导量子处理器作为演示,作者表明该方案可以有效地对两种不同类型的多体现象,即遍历相和局域相,进行分类.量子神经元感知过程使他们能够通过只测量一个量子比特来区分这些多体物相,并提供比传统方法(如测量不平衡度)更好的分辨率.本研究证明了量子神经元感知在近期量子处理器应用的可行性和扩展性,并为探索更大规模系统中的量子多体现象开辟了新的途径.

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What Is Required to Prevent a Second Major Outbreak of SARS-CoV-2 upon Lifting Quarantine in Wuhan City,china

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The Innovation 2020年第1期1卷 152-157页

作者： Lei Zhang Mingwang Shen Xiaomeng Ma Shu Su Wenfeng Gong Jing Wang Yusha Tao Zhuoru Zou Rui Zhao Joseph T.F.Lau Wei Li Feng Liu Kai Ye Youfa Wang Guihua Zhuang Christopher K.Fairley china-Australia Joint Research Center for Infectious Diseases School of Public HealthXi’an Jiaotong University Health Science CenterXi’anShaanxi 710061PR China Melbourne Sexual Health Centre Alfred HealthMelbourneAustralia Central Clinical School Faculty of MedicineNursing and Health SciencesMonash UniversityMelbourneVICAustralia Department of Epidemiology and Biostatistics College of Public HealthZhengzhou UniversityZhengzhou 450001 HenanChina Institute of Health Policy Management and Evaluation University of TorontoTorontoONCanada School of Public Health and Preventive Medicine Faculty of MedicineMonash UniversityMelbourneAustralia Centre for Research Behaviors Centre for Health Behaviours ResearchSchool of Public Health and Primary CareThe Chinese University of Hong KongHong KongHong Kong Bill and Melinda Gates Foundation SeattleWAUSA Department of Epidemiology and Health Statistics School of Public HealthSoutheast UniversityNanjing210009 JiangsuChina Shaanxi Provincial Center for Disease Control and Prevention Xi’an710054 ShaanxiChina MOE Key Lab for Intelligent Networks&Networks Security Faculty of Electronics and Information EngineeringXi’an Jiaotong UniversityXi’an 710049 China School of Automation Science and Engineering Faculty of Electronics and Information EngineeringXi’an Jiaotong UniversityXi’an 710049 China Genome Institute the First Affiliated Hospital of Xi’an Jiaotong UniversityXi’an 710061 China The School of Life Science and Technology Xi’an Jiaotong UniversityXi’an 710049 China Global Health Institute Department of Epidemiology and BiostatisticsSchool of Public HealthXi’an Jiaotong University Health Science CenterXi’anShaanxi 710061China

BACKGROUND The Chinese government implemented a metropolitan-wide quarantine of Wuhan city on 23rd January 2020 to curb the epidemic of the coronavirus *** of this quarantine is *** modelled the effects of two key hea... 详细信息

关键词： Wuhan break Major

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具有测量误差的Wiener退化模型的可靠性研究

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应用概率统计 2023年第6期39卷 832-848页

作者：梁文娟王小飞周宗好黄山学院数学与统计学院黄山245021

本文研究了具有测量误差的Wiener退化模型的基于退化数据的可靠性推断问题.给出了一个检验统计量来检验总体之间是否存在测量误差.给出了扩散参数的精确置信区间,其他模型参数与感兴趣可靠性指标的广义置信区间.得到了预测未来退化量的... 详细信息

本文研究了具有测量误差的Wiener退化模型的基于退化数据的可靠性推断问题.给出了一个检验统计量来检验总体之间是否存在测量误差.给出了扩散参数的精确置信区间,其他模型参数与感兴趣可靠性指标的广义置信区间.得到了预测未来退化量的预测置信区间的构造方法.蒙特卡罗模拟说明了文中给的方法具有良好的性能.最后通过两个实际例子对文中的方法进行了说明.

关键词：维纳退化模型区间估计广义枢轴量可靠性替代

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A Network Pharmacology Approach to Uncover the Molecular Targets and Associated Potential Pathways of Lycii Fructus for the Treatment of Retinitis Pigmentosa

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Digital Chinese Medicine 2019年第3期2卷 136-146页

作者： SONG Hou-Pan ZENG Mei-Yan CHEN Xiao-Juan CHEN Xin-Yi YANG Yi-Jing ZHOU Ya-Sha TIAN Ye LIU Xiao-Qing CAI Xiong PENG Qing-Hua PENG Jun Institute of Traditional Chinese Medicine Diagnostics Hunan University of Chinese MedicineChangshaHunan 410208China College of Traditional Chinese Medicine Hunan University of Chinese MedicineChangshaHunan 410208China Hunan Provincial Key Laboratory for Prevention and Treatment of Ophthalmology and Otolaryngology Diseases with Chinese Medicine ChangshaHunan 410208China Department of Ophthalmology The First Affiliated Hospital of Hunan University of Chinese MedicineChangshaHunan 410007China

Objective To explore the molecular targets and associated potential pathways of Lycii Fructus(LF,Gou Qi Zi,枸杞子)in the treatment of retinitis pigmentosa(RP)by the approaches of network pharmacology and *** The potential blood-entry active ingredients and targets of LF were retrieved by Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP).RP-related gene targets were retrieved through disease comprehensive ***-protein interaction(PPI)network of LF component-targets and RP disease-targets was constructed by STRING,and the intersection of the 2 networks was *** Ontology and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway analysis of theintersection network were conducted by Database for Annotation,Visualization and Integrated Discovery(DAVID).CytoHubba was used to screen the key *** A total of 188 chemical constituents related to LF was retrieved from TCMSP database.45 active ingredients were screened according to pharmacokinetic parameters oral bioavailability(OB)and drug similarity(DL).36 active ingredients were further screened and 201 targets related to these constituents were obtained.206 target genes directly related to RP were obtained from the disease comprehensive databases,and 89 genes were obtained from the intersection of componenttarget and disease-target PPI *** genes were mainly involved in intracellular signal transduction,GTPase activity regulation,cell morphology regulation,and other biological *** functions were mainly related to Rho guanine nucleotide exchange factor activity,GTPase activator activity,receptor signal protein serine/threonine kinase activity and so *** were enriched in the cytoplasm,cell membrane,Golgi apparatus,and other *** mechanism was related to cell cycle pathways,neurotrophin signaling pathways,Ras signaling pathways,and so on.10 key gene targets of LF in the treatment of RP were ***

关键词： Network pharmacology Retinitis pigmentosa Lycii Fructus(Gou Qi Zi,枸杞子) Molecular mechanism Target Signaling pathway

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