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Evaluation of Social Perception on Water Issues in cameron Highlands （Malaysia） by Principle Factor Analysis

Journal of Environmental Science and Engineering 2010年第4期4卷 45-52页

作者： k.W. Tan M.B. Mokhtar Institute for Environment and Development （LESTAR1） University Kebangsaan Malaysia Selangor 43600 Malaysia

Dealing with water resources issues requires understanding of the community perception. It is important to create a communicative partnership between community and government towards sustainable water resources management. Opinion survey is an essential step to gather the point of view from local community. However, it always generates a large and complex dataset that are difficult to be interpreted by decision maker. In order to overcome this difficulty, statistical methods are applied to develop an interpretability model for decision maker. This study demonstrated the application of Descriptive Analysis and Principle Factor Analysis （PFA） to reduce the complexity of opinion survey dataset by revealing underlying information. A total of 106 respondents were interviewed; consisting of 68 male and 38 female respondents respectively. This study first applied descriptive analysis to identify the basic score for each variable, and these variables are soil erosion （68.9%）, degradation of water quality （65.1%）, degradation of freshwater ecosystem （61.0%）, water shortage （50%）, agricultural solid waste problem （46.2%）, water borne diseases （23.6%）, illegal land clearing （21.7%）, legal land clearing （15.1%）, uncontrolled river water abstraction in upstream （54.7%））, poor solid waste management （34.0%）, low awareness of local community （61.3%）, haphazard planning and development （74.5%） and administration mistake （37.0%）. Based on the PFA result, a total of four rotated factors were extracted, representing different aspects of water related issues in cameron Highlands. Factor 1, 2, 3 and 4 were summarised to four topics namely：（1） water environment degradation caused by illegal solid waste disposal and low awareness of community, （2） agricultural development leading to negative impacts on water resources such as water shortage and ecosystem deterioration, （3） land clearing activity leading to serious land erosion （4） human health problem due to e-coli bacterial pollution an

关键词： Descriptive analysis principal factor analysis local perception water issues cameron highlands.

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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

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Prediction of genetic value for sweet cherry fruit maturity among environments using a 6k SNP array

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Horticulture Research 2019年第1期6卷 1623-1637页

作者： Craig M.Hardner Ben J.Hayes Satish kumar Stijn Vanderzande Lichun Cai Julia Piaskowski JoséQuero-Garcia JoséAntonio Campoy Teresa Barreneche Daniela Giovannini Alessandro Liverani Gérard Charlot Miguel Villamil-Castro Nnadozie Oraguzie cameron P.Peace University of Queensland Queensland Alliance for Agriculture and Food InnovationBrisbaneQLD 4072Australia The New Zealand Institute for Plant and Food Research Limited Hawke’s Bay Research CentreHastings 4130New Zealand Department of Horticulture Washington State UniversityPullmanWA 99164USA Department of Horticulture Michigan State UniversityEast LansingMI 48824USA UMR 1332 BFP INRAUniversity of Bordeaux33140 Nouvelle-AquitaineFrance Council for Agricultural Research and Economics(CREA) Fruit Unit of ForlìVia la Canapona1 bis47121 Emilia-RomagnaItaly Centre Technique Interprofessionnel des Fruits et Légumes(CTIFL) 751 Chemin de Balandran30127 BellegardeFrance Department of Horticulture Washington State UniversityIrrigated Agriculture Research and Extension Center24106N Bunn RoadProsserWA 99350USA

The timing of fruit maturity is an important trait in sweet cherry production and *** variation for phenology of fruit maturity in sweet cherry appears to be under strong genetic control,but that control might be complicated by phenotypic instability across *** such genotype-by-environment interaction(G×E)is a common phenomenon in crop plants,knowledge about it is lacking for fruit maturity timing and other sweet cherry *** this study,1673 genome-wide SNP markers were used to estimate genomic relationships among 597 weakly pedigree-connected individuals evaluated over two seasons at three locations in Europe and one location in the USA,thus sampling eight‘environments’.The combined dataset enabled a single meta-analysis to investigate the environmental stability of genomic *** disequilibrium among marker loci declined rapidly with physical distance,and ordination of the relationship matrix suggested no strong structure among *** most parsimonious G×E model allowed heterogeneous genetic variance and pairwise covariances among ***-sense genomic heritability was very high(0.60–0.83),as was accuracy of predicted breeding values(>0.62).Average correlation of additive effects among environments was high(0.96)and breeding values were highly correlated across *** indicated that genomic models can be used in cherry to accurately predict date of fruit maturity for untested individuals in new *** G×E for this trait indicated that phenotypes of individuals will be stable across similar *** analyses for other sweet cherry traits,for which multiple years of data are commonly available among breeders and cultivar testers,would be informative for predicting performance of elite selections and cultivars in new environments.

关键词： maturity environments breeding

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The Global Soil Mycobiome consortium dataset for boosting fungal diversity research

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Fungal Diversity 2021年第6期111卷 573-588页

作者： Leho Tedersoo Vladimir Mikryukov Sten Anslan Mohammad Bahram Abdul Nasir khalid Adriana Corrales Ahto Agan Aída-M.Vasco-Palacios Alessandro Saitta Alexandre Antonelli Andrea C.Rinaldi Annemieke Verbeken Bobby P.Sulistyo Boris Tamgnoue Brendan Furneaux Camila Duarte Ritter Casper Nyamukondiwa Cathy Sharp César Marín D.Q.Dai Daniyal Gohar Dipon Sharmah Elisabeth Machteld Biersma Erin k.cameron Eske De Crop Eveli Otsing Evgeny A.Davydov Felipe E.Albornoz Francis Q.Brearley Franz Buegger Genevieve Gates Geoffrey Zahn Gregory Bonito Indrek Hiiesalu Inga Hiiesalu Irma Zettur Isabel C.Barrio Jaan Pärn Jacob Heilmann-Clausen Jelena Ankuda John Y.kupagme Joosep Sarapuu Jose G.Maciá-Vicente Joseph Djeugap Fovo József Geml Juha M.Alatalo Julieta Alvarez-Manjarrez Jutamart Monkai kadri Põldmaa kadri Runnel kalev Adamson kari A.Bråthen karin Pritsch kassim I.Tchan kęstutis Armolaitis kevin D.Hyde kevin k.Newsham kristel Panksep Lateef A.Adebola Louis J.Lamit Malka Saba Marcela Eda Silva Cáceres Maria Tuomi Marieka Gryzenhout Marijn Bauters Miklós Bálint Nalin Wijayawardene Niloufar Hagh-Doust Nourou S.Yorou Olavi kurina Peter E.Mortimer Peter Meidl RHenrik Nilsson Rasmus Puusepp Rebeca Casique-Valdés Rein Drenkhan Roberto Garibay-Orijel Roberto Godoy Saleh Alfarraj Saleh Rahimlou Sergei Põlme Sergey V.Dudov Sunil Mundra Talaat Ahmed Tarquin Netherway Terry W.Henkel Tomas Roslin Vladimir E.Fedosov Vladimir G.Onipchenko WAErandi Yasanthika Young Woon Lim Meike Piepenbring Darta klavina Urmas kõljalg kessy Abarenkov Mycology and Microbiology Center University of TartuTartuEstonia Institute of Ecology and Earth Sciences TartuEstonia Department of Ecology Swedish University of Agricultural SciencesUppsalaSweden Department of Botany University of the PunjabQuaid-e-Azam CampusLahorePakistan Centro de Investigaciones en Microbiología y Biotecnología-UR(CIMBIUR) Facultad de Ciencias NaturalesUniversidad del RosarioBogotáColombia Grupo de Microbiología Ambiental y BioMicro Escuela de MicrobiologíaUniversidad de Antioquia UdeAMedellínColombia Department of Agricultural Food and Forest SciencesUniversity of PalermoPalermoItaly Royal Botanic Gardens SurreyUK Department of Biomedical Sciences University of CagliariCagliariItaly Research Group Mycology Department of BiologyGhent UniversityGhentBelgium Department of Biomedicine Indonesia International Institute for Life SciencesJakartaIndonesia Plant Pathology and Agricultural Zoology Research Unit Department of Plant ProtectionFaculty of Agronomy and Agricultural SciencesUniversity of DschangDschangCameroon Department of Ecology and Genetics Uppsala UniversityUppsalaSweden Eukaryotic Microbiology University of Duisburg-EssenEssenGermany Department of Biological Sciences and Biotechnology Botswana International University of Science and TechnologyPalapyeBotswana Natural History Museum of Zimbabwe BulawayoZimbabwe Institute of Botany Czech Academy of SciencesPrůhoniceCzech Republic Center for Yunnan Plateau Biological Resources Protection and Utilization College of Biological Resource and Food EngineeringQujing Normal UniversityQujingPeople’s Republic of China Department of Botany Jawaharlal Nehru Rajkeeya MahavidyalayaPondicherry UniversityPort BlairIndia British Antarctic Survey NERCCambridgeUK Natural History Museum of Denmark University of CopenhagenCopenhagenDenmark Department of Environmental Science Saint Mary’s UniversityHalifaxNSCanada Altai State University BarnaulRussia CSIRO Land and Water WembleyWAAustralia Department of N

Fungi are highly important biotic components of terrestrial ecosystems,but we still have a very limited understanding about their diversity and *** data article releases a global soil fungal dataset of the Global Soil Mycobiome consortium(GSMc)to boost further research in fungal diversity,biogeography and *** dataset comprises 722,682 fungal operational taxonomic units(OTUs)derived from PacBio sequencing of full-length ITS and 18S-V9 variable regions from 3200 plots in 108 countries on all *** plots are supplied with geographical and edaphic *** OTUs are taxonomically and functionally assigned to guilds and other functional *** entire dataset has been corrected by excluding chimeras,index-switch artefacts and potential *** dataset is more inclusive in terms of geographical breadth and phylogenetic diversity of fungi than previously published *** GSMc dataset is available over the PlutoF repository.

关键词： Soil fungi Global dataset PacBio sequencing Fungal richness

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福建武夷山区发生之短节阔小蜂属Brachymeria Westwood(膜翅目:阔小蜂科)

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武夷科学 1987年 211-220页

作者：林珪瑞台湾省台中市台湾省农业试验所

木文系作者最近整理马骏超教授50年前在中国大陆等地采得胰翅目标木,发现在武夷山区采得之212隻Brachymeria属标木,经鉴定结果共有16种,包括Brachymeria(s. s.)亚属14种,B.(Matsumurameria)及B.(Neobrachymeria)二亚属各1种。共发生种... 详细信息

木文系作者最近整理马骏超教授50年前在中国大陆等地采得胰翅目标木,发现在武夷山区采得之212隻Brachymeria属标木,经鉴定结果共有16种,包括Brachymeria(s. s.)亚属14种,B.(Matsumurameria)及B.(Neobrachymeria)二亚属各1种。共发生种类如小:B.(B.)lasus (Walker), B.(B.) intermedia (Nees),B.(B.)minuta Linne, B.(B.) podagrica (Fabricius), B.(B.) atridens (Waterston), B.(B.) alternipes(Walker), B.(B.) bengalensis (cameron), B.(B.) lugubris (Walker). R.(B.)ornatipes(cameron), B (B.) gigentica Joseph et al., B.(B.) nr. amphissa (Walker), B.(B.) excarinata Gahan, B.(B.) funesta Habu, B.(B.) secundaria (Ruschka), B.(M.) ryukyuensis Habu,及R.(N.) nosatoi Habu,其中7种为中国大陆新纪录,13种为福建省新记录。文内附分种检索表,并列异名及正模或选模现存处供参考。标木保存在台湾省农业试验所(TARI)昆虫标木馆。

关键词：后足胫节小蜂科 Brachymeria Westwood 武夷山分种检索表 IX

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颅内血管神经介入治疗的适应证美国心脏协会心血管放射学和介入委员会、卒中委员会、心血管外科和麻醉委员会、外周血管病跨学科委员会以及护理质量和转归研究跨学科委员会的联合学术声明

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国际脑血管病杂志 2009年第10期17卷 724-736页

作者： Philip M. Meyers H. Christian Schumacher Randall T. Higashida Stanley L. Barnwell Mark A. Creager Rishi Gupta cameron G. McDougall Dilip k. Pandey David Sacks Lawrence R. Wechsler 乔梵(译) 刘建民(译) 洪波(译) 不详第二军医大学附属长海医院临床神经医学中心上海000433

颅内血管内介入是一种使用微侵袭血管内技术治疗脑血管病的方法。该专业领域在过去10年里取得了巨大进展，而且随着该学科得到越来越多的临床认可，这种进步的速度还在加快。

关键词：神经介入治疗颅内血管心血管放射学美国心脏协会委员会心血管外科外周血管病跨学科

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加拿大安大略西北部卡梅伦湖金矿床的地质背景、构造和蚀变作用

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华北地质 1988年第3期 131-146页

作者： D.R.Melling D.H.Watkinson k.H.Poulsen L.B.Chorlton A.O.Hunter 王魁元

前言卡梅伦湖金矿床位于安大略西北部肯奥雷东南大约80公里处(北纬49°17″,西经94°44′)(图1)。1960年诺兰达矿山有限公司的两个探矿者进行勘查时发现该矿;但那时金价低,以及露头出露少,而且矿床的地下几何学复杂(铅孔表明),因此妨碍... 详细信息

前言卡梅伦湖金矿床位于安大略西北部肯奥雷东南大约80公里处(北纬49°17″,西经94°44′)(图1)。1960年诺兰达矿山有限公司的两个探矿者进行勘查时发现该矿;但那时金价低,以及露头出露少,而且矿床的地下几何学复杂(铅孔表明),因此妨碍了投资和发展。1983年尼斯资源有限公司在查明主要金矿带之前,对矿区已进行了四个单独的金刚石钻进过程。目前已探明储量1474358公吨(1625202短吨),品位为

关键词：金矿床石英钠长石贵金属矿床硅氧矿物斜长石角砾岩化卡梅伦断裂带剪切带剪切破裂带黄铁矿铁矿物火成岩火山岩喷出岩碳酸盐化作用碳化作用碳酸盐矿物热液蚀变带铁白云石共生组合拉斑玄武岩拉斑玄武质岩石地质背景劈理小型构造岩石表面绢云母化安大略

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