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Fungal diversity notes 1036-1150:taxonomic and phylogenetic contributions on genera and species of fungal taxa

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Fungal Diversity 2019年第3期96卷 1-242页

作者： Kevin D.Hyde Danushka S.Tennakoon Rajesh Jeewon DJayarama Bhat Sajeewa S.N.Maharachchikumbura Walter Rossi Marco Leonardi Hyang Burm Lee Hye Yeon Mun Jos Houbraken Thuong T.T.Nguyen Sun Jeong Jeon Jens Christian Frisvad Dhanushka N.Wanasinghe Robert Lucking Andre Aptroot Marcela E.S.Caceres Samantha C.Karunarathna Sinang Hongsanan Rungtiwa Phookamsak Nimali Ide Silva Kasun M.Thambugala Ruvishika S.Jayawardena Indunil C.Senanayake Saranyaphat Boonmee Jie Chen Zong-Long Luo Chayanard Phukhamsakda Olinto L.Pereira Vanessa P.Abreu Andre Wilson Campos Rosado Buyck Bart Emile Randrianjohany Vale rie Hofstetter Tatiana B.Gibertoni Adriene Mayrada Silva Soares Helio Longoni Plautz Jr Helen Maria Pontes Sotao William Kalhy Silva Xavier Jadson Diogo Pereira Bezerra Thays Gabrielle Linsde Oliveira Cristina Mariade Souza-Motta Oliane Maria Correia Magalhaes Digvijayini Bundhun Dulanjalee Harishchandra Ishara S.Manawasinghe Wei Dong Sheng-Nan Zhang Dan-Feng Bao Milan C.Samarakoon Dhandevi Pem Anuruddha Karunarathna Chuan-Gen Lin Jing Yang Rekhani H.Perera Vinit Kumar Shi-Ke Huang Monika C.Dayarathne Anusha H.Ekanayaka Subashini C.Jayasiri Yuanpin Xiao Sirinapa Konta Tuula Niskanen Kare Liimatainen Yu-Cheng Dai Xiao-Hong Ji Xue-Mei Tian Armin Mesic Sanjay K.Singh Kunthida Phutthacharoen Lei Cai Touny Sorvongxay Vinodhini Thiyagaraja Chada Norphanphoun Napalai Chaiwan Yong-Zhong Lu Hong-Bo Jiang Jin-Feng Zhang Pranami D.Abeywickrama Janith V.S.Aluthmuhandiram Rashika S.Brahmanage Ming Zeng Thilini Chethana Deping Wei Martina Reblova Jacques Fournier Jana Nekvindova Renan do Nascimento Barbosa Jose Ewerton Felintodos Santos Neiva Tintide Oliveira Guo-Jie Li Damien Ertz Qiu-Ju Shang Alan J.L.Phillips Chang-Hsin Kuo Erio Camporesi Timur S.Bulgakov Saisamorn Lumyong E.B.Gareth Jones Putarak Chomnunti Eleni Gentekaki Frank Bungartz Xiang-Yu Zeng Sally Fryar Zdenko Tkalcec Junmin Liang Guangshuo Li Ting-Chi Wen Paras Nath Singh Yusufjon Gafforov Itthayakorn Promputtha Erandi Yasanthika Ishani D.Goonasekara Rui-Lin Zhao Qi Zhao Paul M Key Laboratory for Plant Diversity and Biogeography of East Asia Kunming Institute of BotanyChinese Academy of ScienceKunming 650201YunnanPeople’s Republic of China School of Science Mae Fah Luang UniversityChiang Rai 57100Thailand center of Excellence in Fungal Research Mae Fah Luang UniversityChiang Rai 57100Thailand East and Central Asia Regional Office World Agroforestry Centre(ICRAF)Kunming 650201YunnanPeople’s Republic of China Department of Biology Faculty of ScienceChiang Mai UniversityChiang Mai 50200Thailand Mushroom Research Foundation 128 M.3 Ban Pa Deng T.Pa PaeA.Mae TaengChiang Mai 50150Thailand Department of Plant Medicine National Chiayi University300 Syuefu RoadChiayi City 60004TaiwanPeople’s Republic of China Department of Health Sciences Faculty of ScienceUniversity of MauritiusReduitMauritius Formerly Department of Botany Goa UniversityGoaIndia No.128/1-J Azad Housing SocietyCurcaGoa Velha 403108India Department of Crop Sciences College of Agricultural and Marine SciencesSultan Qaboos UniversityPO Box 8123 Al KhoudOman Sect.Environmental Sciences Dept.MeSVAUniversity of L’Aquila67100 CoppitoAQItaly Division of Food Technology Biotechnology&AgrochemistryCollege of Agriculture&Life SciencesChonnam National UniversityGwangju 61186Korea Fungal Resources Research Division NNIBRSangju-si 37242Korea Westerdijk Fungal Biodiversity Institute Uppsalalaan 83584 CT UtrechtThe Netherlands Department of Biotechnology and Biomedicine DTUBioengineeringTechnical University of Denmark2800 Kongens LyngbyDenmark Botanischer Garten und Botanisches Museum Berlin Freie Universitat BerlinKonigin-Luise-StraßBe 6-814195 BerlinGermany Laboratorio de Botanica/Liquenologia Instituto de BiocienciasUniversidade Federal de Mato Grosso do SulAvenida Costa e Silva s/nBairro UniversitarioCampo GrandeMatto Grosso do Sul CEP 79070-900Brazil Departamento de Biociencias Universidade Federal de SergipeItabaianaSergipe CEP:49500-000Brazil Shenzhen Key Laboratory of Microbial

This article is the tenth series of the Fungal Diversity Notes,where 114 taxa distributed in three phyla,ten classes,30 orders and 53 families are described and *** described in the present study include one new family(*** in Dothideomycetes),five new genera(Caatingomyces,Cryptoschizotrema,Neoacladium,Paramassaria and Trochilispora)and 71 new species,(*** thailandica,Amniculicola aquatica,***,Angustimassarina sylvatica,Blackwellomyces lateris,Boubovia gelatinosa,Buellia viridula,Caatingomyces brasiliensis,Calophoma humuli,Camarosporidiella mori,Canalisporium dehongense,Cantharellus brunneopallidus,***,Castanediella meliponae,Coprinopsis psammophila,Cordyceps succavus,Cortinarius minusculus,***,Diaporthe italiana,***,Diatrypella delonicis,Dictyocheirospora aquadulcis,***,Digitodesmium chiangmaiense,Distoseptispora dehongensis,***,Dothiorella styphnolobii,Ellisembia aurea,Falciformispora aquatic,Fomitiporia carpinea,***,Grammothele aurantiaca,***,Hermatomyces bauhiniae,Jahnula queenslandica,Kamalomyces mangrovei,Lecidella yunnanensis,Micarea squamulosa,Muriphaeosphaeria angustifoliae,Neoacladium indicum,Neodidymelliopsis sambuci,Neosetophoma miscanthi,***,Nodulosphaeria aquilegiae,***,Paramassaria samaneae,Penicillium circulare,***,***-pumilae,***,***,Phaeoisaria siamensis,Phaeopoacea asparagicola,Phaeosphaeria penniseti,Plectocarpon galapagoense,Porina sorediata,Pseudoberkleasmium chiangmaiense,Pyrenochaetopsis sinensis,Rhizophydium koreanum,Russula prasina,Sporoschisma chiangraiense,Stigmatomyces chamaemyiae,***,***,***,***,Thysanorea uniseptata,Torula breviconidiophora,***,Trochilispora schefflerae and Vaginatispora palmae).Further,twelve new combinations(*** cryptotrema,Prolixandromyces australi,***,***,***,P.

关键词： 71 new taxa Ascomycota Basidiomycota Dothideomycetes Eurotiomycetes Lecanoromycetes Leotiomycetes Pezizomycetes Phylogeny Taxonomy

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星形胶质细胞松散的兴奋-分泌耦合(英文)

神经损伤与功能重建 2016年第3期11卷 241-241页

作者： Nina Vardjan Vladimir Parpura Robert Zorec 王晶(编译) celica biomedical Ljubljana Slovenia laboratory of neuroendocrinology-molecular cell physiology institute of pathophysiology faculty of medicine university of ljubljana Ljubljana Slovenia department of neurobiology center for glial biology in medicinecivitan international research centeratomic force microscopy & nanotechnology laboratories evelyn f. mc knight brain institute university of alabama at birmingham，Birmingham，Alabama 不详

星形胶质细胞在中枢神经系统中扮演重要角色。此外,作为分泌性细胞,星形胶质细胞还活跃地参与被膜囊泡介导的细胞间通讯。当囊泡膜与细胞质膜融合时,储存在这些囊泡中的胶质细胞信号分子流出细胞外。这个过程称之为胞吐作用,受SNARE蛋... 详细信息

星形胶质细胞在中枢神经系统中扮演重要角色。此外,作为分泌性细胞,星形胶质细胞还活跃地参与被膜囊泡介导的细胞间通讯。当囊泡膜与细胞质膜融合时,储存在这些囊泡中的胶质细胞信号分子流出细胞外。这个过程称之为胞吐作用,受SNARE蛋白调节,为细胞内钙水平升高所引起。钙来源于细胞内的内质网储存,它从细胞外的进入归因于星形胶质细胞的细胞钙动力学。本文探讨星形胶质细胞胞吐作用中的钙管理,以及储存胶质细胞信号分子的膜囊泡特性,包括囊泡融合和囊泡内容物流出的机械动力学。在星形胶质细胞中,细胞内钙水平增加和囊泡腔中分泌物流出的延迟略长于神经元。这种相对松散的兴奋-分泌耦合可能根据星形胶质细胞在神经网络调控中的参与来调整。

关键词：钙平衡 GPCR 囊泡释放胞吐作用星形胶质细胞分泌 SNAREs

security Compressed Sensing Image Encryption Algorithm Based on Elliptic Curve

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国际计算机前沿大会会议论文集 2023年第1期 350-360页

作者： Anan Jin Xiang Li Qingzhi Xiong School of Information Engineering East China University of TechnologyNanchang 330013JiangxiChina Jiangxi Engineering Technology Research center of Nuclear Geoscience Data Science and System East China University of TechnologyNanchang 330013JiangxiChina Jiangxi Key Laboratory of Cybersecurity Intelligent Perception East China University of TechnologyNanchang 330013JiangxiChina

Aiming to address the problems of high costs associated with the storage and transmission of environmental monitoring images,as well as potential security risks,this paper proposes a security compressed sensing image encryption algorithm based on elliptic curve *** algorithm introduces elliptic curve encryption technology within a compressed sensing framework,using elliptic curve cryptography to encrypt the matrix during the compression perception acquisition *** enables secure acquisition of environmental monitoring encrypted ***,this paper presents a security compressed sensing framework to address security gaps in the compression perception reconstruction process and improve the security of environmental monitoring *** results show that the proposed algorithm effectively encrypts and reconstructs environmental monitoring images,with high security and resistance to cracking.

关键词： Compressed Sensing Elliptic Curve Image Reconstruction Image Encryption Environmental Monitoring

Detection of Citrus Psyllid Based on Improved YOLOX Model

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Plant Diseases and Pests 2023年第1期14卷 17-21页

作者： Haiman WANG Ting YU Ganjun YI Deqiu LIN Min LUO College of Information Science and Technology Zhongkai University of Agriculture and EngineeringGuangzhou 510225China Agro-biological Gene Research center Guangdong Academy of Agricultural Sciences/Guangdong Key Laboratory for Crop Germplasm Resources Preservation and UtilizationGuangzhou 510640China Guangdong Academy of Agricultural Sciences Guangzhou 510640China Lianjiang Association of Economic and Social Development Research Lianjiang 524400China

[Objectives]The paper was to explore a faster and more accurate detection method for citrus psyllid to prevent and control yellow-shoot disease and inhibit its transmission.[Methods]We used an improved YOLOX based edge detection method for psyllid,added Convolutional Block Attention Module(CBAM)to the backbone network,and further extracted important features in the channel and space *** Cross Entropy Loss in the object loss was changed to Focal Loss to further reduce the missed detection rate.[Results]The algorithm described in the study fitted in with the detection platform of *** data set of psyllid was taken in Lianjiang Orange Garden,Zhanjiang City,Guangdong Province,deeply adapted to the actual needs of agricultural and rural *** on YOLOX model,the backbone network and loss function were improved to achieve a more excellent detection method of citrus *** AP value of 85.66%was obtained on the data set of citrus psyllid,which was 2.70%higher than that of the original model,and the detection accuracies were 8.61%,4.32%and 3.62%higher than that of YOLOv3,YOLOv4-Tiny and YOLOv5-s,respectively,which had been greatly improved.[Conclusions]The improved YOLOX model can better identify citrus psyllid,and the accuracy rate has been improved,laying a foundation for the subsequent real-time detection platform.

关键词： Citrus Improved YOLOX model Prevention and control of psyllid Artificial intelligence Object detection

基于MERIT DEM和DRT升尺度化算法的多分辨率全国河网数据集构建

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地理与地理信息科学 2020年第3期36卷 1-9页

作者：黄泽群李超群吴欢姜璐璐男顶汤秋鸿王爱慧赵世湖 Dai YAMAZAKI 中山大学大气科学学院广东珠海519082 广东省气候变化与自然灾害研究重点实验室广东广州510275 南方海洋科学与工程广东省实验室(珠海) 广东珠海510301 Earth System Science Interdisciplinary center University of MarylandCollege ParkMaryland MD 20742USA 北京大学地球与空间科学学院北京100871 中国科学院地理科学与资源研究所北京100101 中国科学院大气物理研究所北京100029 自然资源部国土卫星遥感应用中心北京101300 Institute of Industrial Science University of TokyoTokyo 113-8654Japan

相对较粗空间分辨率(>1 km)的水文网络或水文地理数据集是大尺度水文及陆面过程模型的基本输入数据,需要从数字高程模型中提取高分辨率河网并通过升尺度化获取。MERIT DEM是消除了复合误差的新版全球高分辨率(90 m)数字高程模型,提取的... 详细信息

相对较粗空间分辨率(>1 km)的水文网络或水文地理数据集是大尺度水文及陆面过程模型的基本输入数据,需要从数字高程模型中提取高分辨率河网并通过升尺度化获取。MERIT DEM是消除了复合误差的新版全球高分辨率(90 m)数字高程模型,提取的高分辨率河网信息更为精准。DRT是当前国际水文领域常用的高效河网自动升尺度化算法之一,可将高分辨率河网的结构特性完好地输出到粗分辨率河网。该文选取MERIT DEM的中国部分作为数据源,通过DRT升尺度化算法获取全国1°、1/2°、1/4°、1/8°、1/10°、1/16°分辨率的河网数据(流向、河网、流域面积、流距),并采用目视检验、流域面积一致性检验、流距评估等方法综合验证了DRT升尺度数据集的质量。结果表明,DRT算法性能优越,生产的大尺度数据集准确地保护了河道位置、流动方向和流域面积等在高分辨率DEM中描绘的水文特征,将有效降低我国境内流域水文模拟中由水文地形参数化引起的不确定性。

关键词：数字高程模型河流网络升尺度化流距流向水文模型

Study on mechanism and molecular docking verification of Angelicae Sinensis Radix and Astragali Radix in treating ischemic stroke

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TMR Modern Herbal Medicine 2023年第2期6卷 9-17页

作者： Da-Yuan Zhong Hui Cheng Hong-Sheng Luo Yi-Hui Deng Huan-Jie Li De-Liang Liu Xue-Ming Ou Ping-Wen Liu Jia-Rong Li Xiang-Bo Kong Jia-Qi Chen Department of Neurosurgery Nanhai Hospital of Traditional Chinese and Western MedicineJinan UniversityFoshan 528200China Institute of Traditional Chinese Medicine Jinan UniversityGuangzhou 510632China Guangdong Provincial Hospital of Integrated Traditional Chinese and Western Medicine Guangzhou University of Chinese MedicineGuangzhou 510006China College of Integrative Medicine Hunan University of Chinese MedicineChangsha 410208China Preventive Treating Disease center Foshan Hospital of Traditional Chinese MedicineFoshan 528099China.

Background:Traditional Chinese medicine(TCM)has been shown to be effective in treating ischemic stroke(IS),and the combination of Angelicae Sinensis Radix(ASR)and Astragali Radix(AR)is a core TCM prescription that is widely acknowledged for its efficacy in IS *** study utilized network pharmacology methods to explore the molecular mechanisms underlying the therapeutic effects of Angelicae Sinensis Radix and Astragali Radix in IS treatment,with preliminary validation conducted through molecular ***:Information on the structure,targets,main biological functions,and pathways of the active components in Angelicae Sinensis Radix and Astragali Radix was collected using databases such as PubChem,PharmMapper,UniProt,and *** results were visualized using software such as Cytoscape 3.6.1,Ledock,and ***:We retrieved 20 active components and 149 targets associated with the compatibility of Angelicae Sinensis Radix and Astragali Radix from various databases,and GeneCards database was used to search 3350 IS-related gene targets,including 78 key targets of Angelicae Sinensis Radix and Astragali Radix for the treatment of *** analysis of these 78 targets using gene ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)revealed the involvement of 48 GO terms in the treatment of IS,mainly in biological processes such as metabolism,biological regulation,and stress *** composition of biological devices such as supercavitary membrane,cell fluid,and extracellular space was also *** biological functions mainly included protein binding,ion binding,hydrolytic enzyme activity,and *** identified pathways were estrogen signaling pathway,mitogen-activated protein kinase(MAPK)signaling pathway,PI3K-AKT signaling pathway,RAP1 signaling pathway,P53 signaling pathway,PPAR signaling pathway,FOXO signaling pathway,RAS signaling pathway,prolactin signaling pathway,HIF-1 signaling pathway,and TNF signaling ***

关键词： Angelicae Sinensis Radix Astragali Radix ischemic stroke network pharmacology molecular docking