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商业周刊（中文版） 2022年第15期 56-63页

作者： chris Feliciano Arnold cameron Davidson(摄影) Balazs Gardi(摄影) 汪泽(译) 不详

“请远离航线。”Wing的美国业务总监基思·海德(Keith Hyde)警告说。在弗吉尼亚州克里斯蒂安斯堡欢迎大街的尽头,有两块被围栏围起来的土地,在这里,安全是第一要务。自2019年以来,Wing一直在此经营北美第一个无人机送货服务。这些无人... 详细信息

“请远离航线。”Wing的美国业务总监基思·海德(Keith Hyde)警告说。在弗吉尼亚州克里斯蒂安斯堡欢迎大街的尽头,有两块被围栏围起来的土地,在这里,安全是第一要务。自2019年以来,Wing一直在此经营北美第一个无人机送货服务。这些无人机是电动垂直起降(简称eVTOL)飞机,因此它们不是停在跑道上,而是停在一块块着陆垫上,着陆垫同时可以用作充电站。

关键词：垂直起降无人机弗吉尼亚州业务总监 Wing 充电站第一要务跑道

A database of experimentally measured lithium solid electrolyte conductivities evaluated with machine learning

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npj Computational Materials 2023年第1期9卷 2265-2278页

作者： cameron J.Hargreaves Michael W.Gaultois Luke M.Daniels Emma J.Watts Vitaliy A.Kurlin Michael Moran Yun Dang Rhun Morris Alexandra Morscher Kate Thompson Matthew A.Wright Beluvalli-Eshwarappa Prasad Frédéric Blanc chris M.Collins Catriona A.Crawford Benjamin B.Duff Jae Evans Jacinthe Gamon Guopeng Han Bernhard T.Leube Hongjun Niu Arnaud J.Perez Aris Robinson Oliver Rogan Paul M.Sharp Elvis Shoko Manel Sonni William J.Thomas Andrij Vasylenko Lu Wang Matthew J.Rosseinsky Matthew S.Dyer Department of Chemistry University of LiverpoolLiverpool L697ZDUK Leverhulme Research Centre for Functional Materials Design Materials Innovation FactoryUniversity of LiverpoolLiverpool L73NYUK Department of Computer Science University of LiverpoolLiverpool L693BXUK Stephenson Institute for Renewable Energy University of LiverpoolLiverpool L697ZFUK

The application of machine learning models to predict material properties is determined by the availability of high-quality *** present an expert-curated dataset of lithium ion conductors and associated lithium ion conductivities measured by *** *** dataset has 820 entries collected from 214 sources;entries contain a chemical composition,an expert-assigned structural label,and ionic conductivity at a specific temperature(from 5 to 873°C).There are 403 unique chemical compositions with an associated ionic conductivity near room temperature(15–35°C).The materials contained in this dataset are placed in the context of compounds reported in the Inorganic Crystal Structure Database with unsupervised machine learning and the Element Movers *** dataset is used to train a CrabNet-based classifier to estimate whether a chemical composition has high or low ionic *** classifier is a practical tool to aid experimentalists in prioritizing candidates for further investigation as lithium ion conductors.

关键词： spectroscopy lithium classifier

Validation of SNP markers for fruit quality and disease resistance loci in apple (Malus × domestica Borkh.) using the OpenArray® platform

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Horticulture Research 2019年第1期6卷 1348-1363页

作者： David Chagné Stijn Vanderzande chris Kirk Natalie Profitt Rosemary Weskett Susan E.Gardiner cameron P.Peace Richard K.Volz Nahla V.Bassil The New Zealand Institute for Plant&Food Research Ltd(Plant&Food Research) Palmerston North Research CentrePalmerston NorthNew Zealand Department of Horticulture Washington State UniversityPullmanWAUSA Plant&Food Research Hawke’s Bay Research CentreHavelock NorthNew Zealand USDA-ARS National Clonal Germplasm RepositoryCorvallisORUSA

Genome mapping has promised much to tree fruit breeding during the last 10 ***,one of the greatest challenges remaining to tree fruit geneticists is the translation of trait loci and whole genome sequences into diagnostic genetic markers that are efficient and cost-effective for use by breeders,who must select genetically optimal parents and subsequently select genetically superior individuals among their *** take this translational step,we designed the apple International RosBREED SNP Consortium OpenArray v1.0(IRSCOA v1.0)assay using a set of 128 apple single nucleotide polymorphisms(SNPs)linked to fruit quality and pest and disease resistance trait *** Thermo Fisher Scientific OpenArray®technology enables multiplexed screening of SNP markers using a real-time PCR instrument with fluorescent probe-based Taqman®*** validated the apple IRSCOA v1.0 multitrait assay by screening 240 phenotyped individuals from the Plant&Food Research apple cultivar breeding *** set of individuals comprised commercial and heritage cultivars,elite selections,and families segregating for traits of importance to *** total,33 SNP markers of the IRSCOA v1.0 were validated for use in marker-assisted selection(MAS)for the scab resistances Rvi2/Vh2,Rvi4/Vh4,Rvi6/Vf,fire blight resistance MR5/RLP1,powdery mildew resistance Pl2,fruit firmness,skin colour,flavour intensity,and *** availability of this set of validated trait-associated SNP markers,which can be used individually on multiple genotyping platforms available to various apple breeding programmes or re-designed using the flanking sequences,represents a large translational genetics step from genomics to crop improvement of apple.

关键词： Open resistance breeding

系统综述与网状Meta分析的PRISMA扩展声明

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中国循证心血管医学杂志 2016年第6期8卷 656-660,665页

作者：李志霞杨俊叶欣周凌波杨智荣孙凤詹思延 Brian Hutton Georgia Salanti Deborah M.Caldwell Anna Chaimani christopher H.Schmid chris cameron John P.A.Ioannidis Sharon Straus Kristian Thorlund Jeroen P.Jansen Cynthia Mulrow Ferrán Catalá-López Peter C.Gozsche Kay Dickersin Isabelle Boutron Douglas G.Altman David Moher 北京大学公共卫生学院北京100191 剑桥大学初级医疗中心

PRISMA声明旨在提高系统综述和META分析报告的完整性,该声明已经广泛用于指导系统综述和META分析的报告和发表。原始的PRISMA声明是针对两种干预措施比较的传统的系统综述与META分析而制定的,然而,随着多种干预措施比较的系统综述的发展... 详细信息

PRISMA声明旨在提高系统综述和META分析报告的完整性,该声明已经广泛用于指导系统综述和META分析的报告和发表。原始的PRISMA声明是针对两种干预措施比较的传统的系统综述与META分析而制定的,然而,随着多种干预措施比较的系统综述的发展,实施和报告这一类系统综述面临较大挑战。此时,针对网状META分析的PRISMA扩展声明应运而生,旨在提高网状META分析系统综述的报告质量。PRISMA扩展声明是由专家们通过DELPHI调查、面对面讨论和共识大会而最终确立的。PRISMA扩展声明是在原始PRISMA声明的报告清单的基础上经过修改,最终确定了32个条目,每个条目均与网状META分析报告的内容直接相关。本文对网状META分析的PRISMA扩展声明进行了阐述,对报告清单各条目进行了举例说明,并详细说明了在原始PRISMA声明的基础上新增和修改各条目的理由。此外,PRISMA扩展声明强调了在网状META分析的实际操作中需要重点关注的信息。本文的目标读者包括网状META分析的作者与读者,以及期刊杂志的编辑与同行评审。

关键词：系统综述 Meta分析网状 META分析 DELPHI 报告质量期刊杂志条目

Apple whole genome sequences:recent advances and new prospects

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Horticulture Research 2019年第1期6卷 1247-1270页

作者： cameron P.Peace Luca Bianco Michela Troggio Eric van de Weg Nicholas P.Howard Amandine Cornille Charles-Eric Durel Sean Myles ZoëMigicovsky Robert J.Schaffer Evelyne Costes Gennaro Fazio Hisayo Yamane Steve van Nocker chris Gottschalk Fabrizio Costa David Chagné Xinzhong Zhang Andrea Patocchi Susan E.Gardiner Craig Hardner Satish Kumar Francois Laurens Etienne Bucher Dorrie Main Sook Jung Stijn Vanderzande Department of Horticulture Washington State UniversityPullmanWA 99164USA Computational Biology Fondazione Edmund MachSan Michele all’AdigeTN 38010Italy Department of Genomics and Biology of Fruit Crops Fondazione Edmund MachSan Michele all’AdigeTN 38010Italy Plant Breeding Wageningen University and ResearchWageningen 6708PBThe Netherlands Department of Horticultural Science University of MinnesotaSt.PaulMN 55108USA Institut für Biologie und Umweltwissenschaften Carl von Ossietzky Universität26129 OldenburgGermany GQE-Le Moulon Institut National de la Recherche AgronomiqueUniversity of Paris-SudCNRSAgroParisTechUniversitéParis-Saclay91190 Gif-sur-YvetteFrance Institut National de la Recherche Agronomique Institut de Recherche en Horticulture et SemencesUMR 134549071 BeaucouzéFrance Department of Plant Food and Environmental SciencesFaculty of AgricultureDalhousie UniversityTruroNS B2N 5E3Canada The New Zealand Institute for Plant and Food Research Ltd Motueka 7198New Zealand School of Biological Sciences University of AucklandAuckland 1142New Zealand AGAP INRACIRADMontpellier SupAgroUniversity of MontpellierMontpellierFrance Plant Genetic Resources Unit USDA ARSGenevaNY 14456USA Laboratory of Pomology Graduate School of AgricultureKyoto UniversityKyoto 606-8502Japan Department of Horticulture Michigan State UniversityEast LansingMI 48824USA The New Zealand Institute for Plant and Food Research Ltd(Plant&Food Research) Palmerston North Research CentrePalmerston North 4474New Zealand College of Horticulture China Agricultural University100193 BeijingChina Agroscope 8820 WädenswilSwitzerland Queensland Alliance of Agriculture and Food Innovation University of QueenslandSt Lucia 4072Australia New Cultivar Innovation Plant and Food ResearchHavelock North 4130New Zealand Agroscope 1260 ChanginsSwitzerland

In 2010,a major scientific milestone was achieved for tree fruit crops:publication of the first draft whole genome sequence(WGS)for apple(Malus domestica).This WGS,v1.0,was valuable as the initial reference for sequence information,fine mapping,gene discovery,variant discovery,and tool development.A new,high quality apple WGS,GDDH13 v1.1,was released in 2017 and now serves as the reference genome for *** the past decade,these apple WGSs have had an enormous impact on our understanding of apple biological functioning,trait physiology and inheritance,leading to practical applications for improving this highly valued *** gene identities for phenotypes of fundamental and practical interest can today be discovered much more ***-wide polymorphisms at high genetic resolution are screened efficiently over hundreds to thousands of individuals with new insights into genetic relationships and ***-density genetic maps are constructed efficiently and quantitative trait loci for valuable traits are readily associated with positional candidate genes and/or converted into diagnostic tests for *** understand the species,geographical,and genomic origins of domesticated apple more precisely,as well as its relationship to wild *** WGS has turbo-charged application of these classical research steps to crop improvement and drives innovative methods to achieve more durable,environmentally sound,productive,and consumer-desirable apple *** review includes examples of basic and practical breakthroughs and challenges in using the apple *** for“what’s next”focus on necessary upgrades to the genome sequence data pool,as well as for use of the data,to reach new frontiers in genomics-based scientific understanding of apple.

关键词： breakthrough hundreds frontier