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才智（智慧版） 2015年第2期 73-73页

作者： ronald E.Riggio.Ph.D. 小牛儿

我们多次受挫于自己的社会认知。我们有一种走精神捷径的倾向，当我们试图对我们的社会世界进行合理化解释时，就会利用心理学家称为“启发式”，或者说以偏概全的方式，其结果，我们就易于在精神活动过程中犯错。

关键词：心理学家社会认知社会世界以偏概全活动过程合理化启发式精神

Time Series Analysis on Selected Rainfall Stations Data in Louisiana Using ARIMA Approach

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Open Journal of Statistics 2021年第5期11卷 655-672页

作者： Yaw A. Twumasi Jacob B. Annan Edmund C. Merem John B. Namwamba Tomas Ayala-Silva Zhu H. Ning Abena B. Asare-Ansah Judith Oppong Diana B. Frimpong Priscilla M. Loh Faustina Owusu Lucinda A. Kangwana Olipa S. Mwakimi Brilliant M. Petja ronald Okwemba Caroline O. Akinrinwoye Hermeshia J. Mosby Joyce McClendon-Peralta Department of Urban Forestry and Natural Resources Southern University and A&M College Baton Rouge Louisiana USA Department of Urban and Regional Planning Jackson State University Jackson Mississippi USA USDA-ARS Tropical Agriculture Research Station Mayaguez Puerto Rico USA Institute of Resource Assessment University of Dares Salam Dares Salam Tanzania Water Research Commission (WRC) Private Bag X03 Gezina South Africa

Precipitation is very important for both the environment and its inhabitants. Agricultural activities mostly depend on precipitation and its availability. Therefore, the ability to predict future precipitation values at specific stations is key for environmental and agricultural decision making. This research developed Autoregressive Integrated Moving Average (ARIMA) models for selected stations with Integrated component and Autoregressive Moving Average (ARMA) for selected stations without Integrated component at Louisiana State. The ARIMA module is represented as ARIMA(p, d, q)(P,D,Q). The selected lag order for the Autoregressive (AR) component is represented with p and P for seasonal AR component, while the integrated form (number of times data were differenced) is d and D for seasonal differencing, and the Moving Average (MA) lag order is q and Q for seasonal MA component. Data from 1950 to 2020 were employed in this research. Results of the analysis indicated that Baton Rouge (ARIMA (0,1,1) (0,0,2)12), Abbeville (ARMA (0,0,1) (0,0,2)12), Monroe Regional (ARMA (0,0,1) (0,0,0)12), New Orleans Airport (ARMA (1,0,0) (0,0,2)12), Alexandria (ARMA (1,0,1) (0,0,0)12), Logansport (ARIMA (0,1,2) (0,0,0)12), New Orleans Audubon (ARMA (1,0,0) (0,0,0)12), Lake Charles Airport (ARMA (2,0,2) (0,0,0)

关键词： Precipitation ARIMA Models Time Series Lowess Louisiana

Estimation of Land Surface Temperature from Landsat-8 OLI Thermal Infrared Satellite Data. A Comparative Analysis of Two Cities in Ghana

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Advances in Remote Sensing 2021年第4期10卷 131-149页

作者： Yaw A. Twumasi Edmund C. Merem John B. Namwamba Olipa S. Mwakimi Tomas Ayala-Silva Diana B. Frimpong Zhu H. Ning Abena B. Asare-Ansah Jacob B. Annan Judith Oppong Priscilla M. Loh Faustina Owusu Valentine Jeruto Brilliant M. Petja ronald Okwemba Joyce McClendon-Peralta Caroline O. Akinrinwoye Hermeshia J. Mosby Department of Urban Forestry and Natural Resources Southern University and A&M College Baton Rouge Louisiana USA Department of Urban and Regional Planning Jackson State University Jackson Mississippi USA Institute of Resource Assessment University of Dares Salam Dares Salam Tanzania USDA-ARS Tropical Agriculture Research Station Mayaguez Puerto Rico USA Water Research Commission (WRC) Private Bag X03 Gezina South Africa

This study employs Landsat-8 Operational Land Imager (OLI) thermal infrared satellite data to compare land surface temperature of two cities in Ghana: Accra and Kumasi. These cities have human populations above 2 million and the corresponding anthropogenic impact on their environments significantly. Images were acquired with minimum cloud cover (ere used. The shapefiles of Accra and Kumasi were used to extract from the full scenes to subset the study area. Thermal band data numbers were converted to Top of Atmospheric Spectral Radiance using radiance rescaling factors. To determine the density of green on a patch of land, normalized difference vegetation index (NDVI) was calculated by using red and near-infrared bands i.e. Band 4 and Band 5. Land surface emissivity (LSE) was also calculated to determine the efficiency of transmitting thermal energy across the surface into the atmosphere. Results of the study show variation of temperatures between different locations in two urban areas. The study found Accra to have experienced higher and lower dry season and wet season temperatures, respectively. The temperature ranges corresponding to the dry and wet seasons were found to be 21.0985

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脱口秀女王押注成为有线频道的经典

商业周刊（中文版） 2011年第2期 34-35页

作者：罗纳德·格罗弗（ronald Grover）安迪·菲克斯默（Andr Fixmler）赵斌（译）

有些东西只要打上奥普拉·温弗瑞（OprahWinfrey）的名字通常就能获得成功。随着奥普拉·温弗瑞电视网（OWN）旗下有线频道于2011年1月1日开播，探索传播公司（Discovery Communications）相信奥普拉的品牌效应能够持续。“频道以她的... 详细信息

有些东西只要打上奥普拉·温弗瑞（OprahWinfrey）的名字通常就能获得成功。随着奥普拉·温弗瑞电视网（OWN）旗下有线频道于2011年1月1日开播，探索传播公司（Discovery Communications）相信奥普拉的品牌效应能够持续。“频道以她的名字命名，”前MTV总裁、现任OWN首席执行官的克里斯蒂娜·诺曼（Christina Norman）表示。

关键词：频道有线脱口秀女王首席执行官品牌效应克里斯蒂电视网

对全脂大豆进行膨化和膨胀加工及添加微生物植酸酶对其营养素在虹鳟鱼上的表观消化率的影响

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饲料与畜牧（新饲料） 2007年第2期 51-51页

作者： Zongjia J. Cheng ronald W, Hardy 高俊(译)

用虹鳟鱼进行试验，以评估对全脂大豆进行膨化和膨胀加工，以及添加微生物植酸酶后，对干物质、粗蛋白、氨基酸、矿物元素的表观消化率的影响。试验中使用生大豆、膨化大豆和膨胀大豆3种原料。

关键词：微生物植酸酶表观消化率膨胀加工全脂大豆膨化大豆虹鳟鱼营养素矿物元素

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下一代DVD标准之争：索尼略占上风

商业周刊（中文版） 2008年第1期 18-19页

作者：罗纳德·格罗弗（ronald Grover）克利夫·爱德华兹（Cliff Edwards）夏芳（译者）

以索尼为首的蓝光技术阵营似乎在单一高清DVD标准的竞争中略胜出竞争对手一筹

关键词： DVD标准索尼竞争对手技术

在“第六届科学计量学与大学评价国际研讨会”上的讲话

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评价与管理 2010年第4期8卷 4-4页

作者： ronald Rousseau（罗纳德·鲁索）周为（翻译整理）曾倩（翻译整理）国际科学计量学与信息计量学学会

尊敬的各位教授、学者、主办方、朋友们、学生们：应邀来到第六届科学计量学与大学评价国际研讨会，与各位代表交流科学研究中的进展，我感到非常荣幸。而且我很高兴地看到，与六年前我来这里的时候相比，武汉已经发展得更好了。

关键词：国际研讨会科学计量学大学评价科学研究主办方教授学生

FAIR Principles:Interpretations and Implementation Considerations

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Data Intelligence 2020年第1期2卷 10-29,293-302,322页

作者： Annika Jacobsen Ricardo de Miranda Azevedo Nick Juty Dominique Batista Simon Coles ronald Cornet Melanie Courtot Merce Crosas Michel Dumontier Chris T.Evelo Carole Goble Giancarlo Guizzardi Karsten Kryger Hansen Ali Hasnain Kristina Hettne Jaap Heringa Rob W.W.Hooft Melanie Imming Keith G.Jeffery Rajaram Kaliyaperumal Martijn GKersloot Christine R.Kirkpatrick Tobias Kuhn Ignasi Labastida Barbara Magagna PeterMcQuilton Natalie Meyers Annalisa Montesanti Mirjam van Reisen Philippe Rocca-Serra Robert Pergl Susanna-Assunta Sansone Luiz Olavo Bonino da Silva Santos Juliane Schneider George Strawn Mark Thompson Andra Waagmeester Tobias Weigel Mark D.Wilkinson Egon L.Willighagen Peter Wittenburg Marco Roos Barend Mons Erik Schultes Leiden University Medical Center Leiden2333 ZAThe Netherlands Institute of Data Science Maastricht UniversityUniversiteitssingel 60Maastricht 6229 ERThe Netherlands Department of Computer Science The University of ManchesterOxford RoadManchester M139PLUK Oxford e-Research Centre Department of Engineering SciencesUniversity of OxfordOxford OX13PJUK School of Chemistry Faculty of Engineering and Physical SciencesUniversity of SouthamptonSO171BJUK Amsterdam UMC University of AmsterdamAmsterdam 1000 GGThe Netherlands European Bioinformatics Institute(EMBL-EBI) HinxtonCambridgeCB101SDUK Harvard University CambridgeMassachusetts 02138USA Department of Bioinformatics–BiGCaT NUTRIMMaastricht UniversityMaastricht 6229 ERThe Netherlands Conceptual and Cognitive Modeling Research Group(CORE) Free University of Bozen-BolzanoBolzano 39100Italy Aalborg University Aalborg DK-9220Denmark Insight Centre for Data Analytics National University of Ireland GalwayH91 TK33Ireland Centre for Digital Scholarship Leiden University LibrariesLeiden2333 ZAThe Netherlands Department of Computer Science Vrije Universiteit AmsterdamDe Boelelaan 11051081 HV AmsterdamThe Netherlands Dutch Techcentre for Life Sciences(DTL) UtrechtThe Netherlands SURF Utrecht 3511 EPThe Netherlands Keith G Jeffery Consultants FaringdonUK Castor EDC Paasheuvelweg 25Wing 5D1105 BPAmsterdamThe Netherlands San Diego Supercomputer Center University of California San DiegoLa JollaCalifornia 92093USA Learning and Research Resources Centre(CRAI) Universitat de Barcelona08007 BarcelonaSpain Environment Agency Austria A-1090 ViennaAustria University of Notre Dame 75004 ParisFrance Health Research Board(HRB) Dublin 2DO2 H638Ireland Liacs Institute of Advanced Computer Science Leiden University2311 GJ LeidenThe Netherlands Czech Technical University in Prague Faculty of Information Technology(FIT CTU)16000 Prague 6Czech Republic GO FAIR International Support&Coordination Office(GFISCO) LeidenThe Netherlands Harvard Catalys

The FAIR principles have been widely cited,endorsed and adopted by a broad range of stakeholders since their publication in *** intention,the 15 FAIR guiding principles do not dictate specific technological implementations,but provide guidance for improving Findability,Accessibility,Interoperability and Reusability of digital *** has likely contributed to the broad adoption of the FAIR principles,because individual stakeholder communities can implement their own FAIR ***,it has also resulted in inconsistent interpretations that carry the risk of leading to incompatible ***,while the FAIR principles are formulated on a high level and may be interpreted and implemented in different ways,for true interoperability we need to support convergence in implementation choices that are widely accessible and(re)-*** introduce the concept of FAIR implementation considerations to assist accelerated global participation and convergence towards accessible,robust,widespread and consistent FAIR *** self-identified stakeholder community may either choose to reuse solutions from existing implementations,or when they spot a gap,accept the challenge to create the needed solution,which,ideally,can be used again by other communities in the ***,we provide interpretations and implementation considerations(choices and challenges)for each FAIR principle.

关键词： FAIR guiding principles FAIR implementation FAIR convergence FAIR communities choices and challenges

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司法证明的性质:作为似真推理工具的概率

证据科学 2016年第3期24卷 366-384,F0003页

作者：罗纳德.J.艾伦汪诸豪戴月柴鹏中国政法大学证据科学研究院外国专家咨询委员会 "2011计划"司法文明协同创新中心中国政法大学证据科学教育部重点实验室中国政法大学

以贝叶斯分析为代表的概率论,是改变了人类生活之现代科学成就中至关重要的组成部分。然而,它并非是铸就这种成就的唯一认知工具。法庭科学和法律以多种方式关联,但同时又有天壤之别。法庭科学,如同其他任何科学一样,致力于将复杂性降... 详细信息

以贝叶斯分析为代表的概率论,是改变了人类生活之现代科学成就中至关重要的组成部分。然而,它并非是铸就这种成就的唯一认知工具。法庭科学和法律以多种方式关联,但同时又有天壤之别。法庭科学,如同其他任何科学一样,致力于将复杂性降至允许精心设计研究并精确解释的可控水平。法律制度却无法享受这种奢华,且必须在有限时间内应对不可计数、变化多端的人类社会复杂性。司法证明运用包括概率论在内的多种认知工具,以辅助似真推理,但归根结底,它不能被简化为数字和数学公式。

关键词：法庭科学证据法学概率论似真推理

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用文献计量数据解读中国和印度的科技发展

科学观察 2007年第4期2卷 1-6页

作者： ronald N. Kostoff Michael B. Briggs Robert L. Rushenberg Christine A. Bowles Sujit Bhattacharya Dustin Johnson Alan S. Icenhour Kimberly Nikodym Ryan B. Barth Simha Dodbele Michael Pecht 朱海峰 Office of Naval Research 875 N.Randolph St.ArlingtonVA 22217USA. Marine Corps Warfighting Laboratory 3255 Meyers AveQuanticoVA 22134USA. DDL-OMNI Engineering LLC8260 Greensboro DriveMcLeanVA 22102USA. National Institute of Science Technology and Development StudiesPusa GateK.S.Krishnan MargNew Delhi-110012India. Office of Naval Research 875 N. Randolph St.ArlingtonVA 22217USA. University of Maryland College ParkMD 20742USA.

该文采用SCI/SSCI数据库,对通信联系人中至少含有一位印度/中国人的科技论文进行了文献计量学和计算语言学分析。依据对印度和中国科技文献单独分析的结果,深入地探讨了两国在科技领域的差异。借助不同的分析技术,包括影响因子分析、相... 详细信息

该文采用SCI/SSCI数据库,对通信联系人中至少含有一位印度/中国人的科技论文进行了文献计量学和计算语言学分析。依据对印度和中国科技文献单独分析的结果,深入地探讨了两国在科技领域的差异。借助不同的分析技术,包括影响因子分析、相关性图解以及文档聚类(传统聚类和模糊聚类),多角度地分析了中国和印度科技文献的基本学科结构体系(主要作者、研究单位等)与主要学科结构(学科重点以及学科重点之间的关系)。第一部分内容介绍了中国科技文献评估,第二部分阐述了印度科技文献评估,第三部分则为印度和中国科研成果的多角度比较。

关键词：中国印度科学技术研究评价研究评估技术评估文本挖掘文献计量学计算语言学文档聚类因子分析相关图核心竞争力