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15篇 您的检索式:作者名="Ryan Shaw"
    题名 作者 年代 出处 被引量
1基于关联数据的档案语义转换实践分析显示文摘通过对国外现有的档案语义关联项目的文献检索与数据清洗,从语义转换的角度出发,整合并聚类目前国外档案机构的典型案例,分析并抽取现有的词表语义化转化路径与机制。研究的重点在于厘清档案数据语义转换的三大问题:'为何''由何''如何'将档案数据转换成关联数据。研究成果表明关联数据将有助于针对档案材料的复杂性与异质性,弥补传统知识组织方式的不足;元数据元素集、值词汇表、数据集是语义转换的源数据,通过语义匹配和本体构建,可将档案数据转换成关联数据。其中构建档案本体是实现档案资源真正关联、共享与重用的关键。郭学敏 Ryan Shaw 2019档案学通讯2019,0,5:17
2Risk factors for post-ERCP pancreatitis: A prospective, multicenter study显示文摘Martin L. Freeman James A. DiSario Douglas B. Nelson M.Brian Fennerty John G. Lee David J. Bjorkman Carol S. Overby Johannes Aas Michael E. Ryan Gary S. Bochna Michael J. Shaw Harry W. Snady Robert V. Erickson Joseph P. Moore Joseph P. Roel 2001Gastrointestinal Endoscopy2001,,4:5
3Risk factors for post-ERCP pancreatitis: A prospective, multicenter study显示文摘Martin L. Freeman James A. DiSario Douglas B. Nelson M.Brian Fennerty John G. Lee David J. Bjorkman Carol S. Overby Johannes Aas Michael E. Ryan Gary S. Bochna Michael J. Shaw Harry W. Snady Robert V. Erickson Joseph P. Moore Joseph P. Roel 2001Gastrointestinal Endoscopy2001,,4:2
4Open randomised controlled trial of inhaled nitric oxide and early dexamethasone in high risk preterm infants显示文摘Subhedar NV Ryan SW Shaw NJ 1997Arch Dis Child1997,77,:1
5Global potential of phosphorus recovery from human urine and feces显示文摘James R. Mihelcic Lauren M. Fry Ryan Shaw 2011Chemosphere2011,,6:1
6Open randomized oontrolled trial of inhaled nitric oxide and early dexamethasone in high risk preterm infant 显示文摘Subhedar NV Ryan SW Shaw NJ 1997Arch Dis Child Fetal Neonatal Ed1997,77,3:1
7Production, Respiration, and Overall Carbon Balance in an Old-growth Pseudotsuga-Tsuga Forest Ecosystem显示文摘Mark E. Harmon Ken Bible Michael G. Ryan David C. Shaw H. Chen Jeffrey Klopatek Xia Li 2004Ecosystems2004,,5:1
8KOJAK encodes a cellulose synthase-like protein required for root hair cell morphogenesis in Arabidopsis显示文摘 Ryan E Foreman J Linstead P Boudonck K Steer M Shaw P Dolan L 2001Genes Dev2001,15,:1
9Risk factors for post-ERCP pancreatitis: A prospective, multicenter study显示文摘Martin L. Freeman James A. DiSario Douglas B. Nelson M.Brian Fennerty John G. Lee David J. Bjorkman Carol S. Overby Johannes Aas Michael E. Ryan Gary S. Bochna Michael J. Shaw Harry W. Snady Robert V. Erickson Joseph P. Moore Joseph P. Roel 2001Gastrointestinal Endoscopy2001,,4:1
10Novel sodium hypochlorite cleanser shows clinical response and excellent acceptability in the treatment of atopic dermatitis 显示文摘Ryan C Shaw RE Cockerell C J 2013Pediatr Dermatol2013,30,3:1
11Ultrasound of non-vascular complications in the post liver transplant patient显示文摘Shaw AS Ryan SM Beese RC 2003Clin Radiol2003,58,9:1
12The effect of thermal treat-ment on the corrosion properties of vapor deposited magnesiumalloyed with yttrium,aluminum,titanium,and mischmetal显示文摘Ryan C Wolfe Barbara A Shaw 2007Journal of Alloys and Compounds2007,437,:1
13Risk factors for post-ERCP pancreatitis: a prospective,multicenter study 显示文摘Freeman ML Disario JA Nelson DB Fennerty MB Lee JG Bjorkman DJ Overby CS Aas J Ryan ME Bochna GS Shaw MJ Snady HW Erickson RV Moore JP Roel JP Gastrointest Endosc0,,:1
14The SMART healthcare solution显示文摘Substitutable Medical Apps Reusable Technologies (SMART■) on Fast Healthcare Interoperability Resources (FHIR) is an open, standards platform that allows third parties to build health applications that interact with electronic health record (EHR) systems. This can allow for aggregation of unique data ranging from genomics to lifestyle, thereby promoting the emerging precision medicine approach. It is also the first to provide a way to successfully incorporate interoperability in EHRs and precision medicine implementation.Basil H. Chaballout Ryan J. Shaw Karin Reuter-Rice 2017Advances in Precision Medicine2017,2,1:0
15Enhancing pedestrian mobility in Smart Cities using Big Data显示文摘Smart City is an emerging concept in global urban development.A Smart City applies ICT technologies to provide greater efficiencies for its urban areas and civilian population.One of the key requirements for a Smart City is to exploit data from its ICT infrastructure(such as Internet of Things connected sensors)to improve city services and features such as accessibility and sustainability.To address this requirement,the City of Melbourne(COM)Smart City office maintains several hundred data sets relating to urban activity and development.These datasets address parking,mobility,land use,3D data,statistics,environment,and major city developments such as rail projects.One promising dataset relates to pedestrian traffic.Data are obtained from sensors and updated on the COM website(City of Melbourne Open Data Platform:http://gffzzd1269692889842a8sb9u0xbkb56xo6f5v.ffgz.tsg.suse.edu.cn/.)at regular intervals.These data include the number of pedestrians passing 53 specific locations in the central business district and also their times and directions of travel.In a 24 h period,over 650,000 pedestrians were counted passing all locations.Peak rates of several thousand pedestrians per minute are regularly recorded during city rush hours at hotspots making the data amenable to Big Data analysis techniques.Results are obtained in graphical format as heatmaps and charts of city pedestrian traffic using both Microsoft Excel^(■)for static analysis and PowerBI^(■)for more advanced interactive visualisation and analysis.These findings can identify pedestrian hotspots and inform future locations of traffic lights and street configurations to make the city more pedestrian friendly.Further,the experience gained can be used to examine other data sets such as bicycle traffic that can be analysed to inform city infrastructure projects.Future work is suggested that could link these pedestrian flow data with social media data from smartphones and potentially wearable devices such as fitness monitors to correlate pedestrian satisfaction with traffic flow.The‘happiness’effect of pedestrians passing through green areas such as city parks can also be quantified.This research was undertaken with the assistance of Swinburne University under its Capstone Project scheme.Ebony Carter Patrick Adam Deon Tsakis Stephanie Shaw Richard Watson Peter Ryan 2020Journal of Management Analytics2020,7,2:0
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