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| 1 | 软组织肉瘤术后局部复发因素分析显示文摘目的探讨软组织肉瘤(soft tissue sarcoma,STS)患者术后局部复发的因素。方法回顾分析1995年至2010年,英国爱丁堡皇家医院手术治疗的79例STS患者的随访结果。男44例,女35例;年龄18-97岁,平均62.9岁。79例随访6-139个月,平均41个月。组织学诊断由2名隶属于英国国家组织病理学专家组的成员来确定。肿瘤分级按Trojani分级评定。Trojani 1级定义为低度恶性,Trojani 2级和3级定义为高度恶性。阳性外科边界的标准是,在组织学切片上,发现切除边缘任何部位存在肿瘤细胞。结果本组79例中,21例阳性边界者14例复发,7例未复发;58例阴性边界者9例复发,49例未复发(P〈0.0001,OR=10.9)。53例高度恶性者20例复发,33例未复发;26例低度恶性者,3例复发,23例未复发(P=0.016,OR=4.6)。43例进行辅助治疗者19例复发,24例未复发;36例非辅助治疗者4例复发,32例未复发(P=0.001,OR=6.3)。17例肿瘤转移者8例复发,9例未复发;62例未转移者15例复发,47例未复发(P=0.07,OR=2.8)。肿瘤组织学分级、阳性边界和是否进行辅助治疗是局部复发的相关因素;肿瘤是否转移与局部复发无相关性。高度恶性肿瘤是低度恶性肿瘤的5.2倍,阳性边界是阴性边界的3.3倍,是导致局部复发的独立危险因素。结论外科边界和肿瘤组织学级别是导致局部复发的最重要影响因素。高度恶性肿瘤患者的阳性边界通常会提高肿瘤的复发几率。 | 江军 Oliver Peck Nicholas D Clement Daniel Edward Porter | 2015 | 中国骨与关节杂志2015，4，7： | 3 |
| 2 | ^31P Labeled cyclic nitrones:a new class of spin traps for free radicals in biological milieu显示文摘 | Barbati S Clement J L Olive G | 1997 | Free Radicals in Biology and Environment1997，，： | 1 |
| 3 | Benchmark-based allocations in EU ETS Phase 3: an early assessment显示文摘 | Oliver Sartor Clement Pallière Stephen Lecourt | 2014 | Climate Policy2014，，： | 1 |
| 4 | The impact of immunization control activities on measles outbreaks in middle and low income countries 显示文摘 | Aylward RB Clements J Olive JM | 1997 | Int J Epidemiol1997，26，3： | 1 |
| 5 | Big Data Analytics for Earth Sciences:the EarthServer approach显示文摘Big Data Analytics is an emerging field since massive storage and computing capabilities have been made available by advanced e-infrastructures.Earth and Environmental sciences are likely to benefit from Big Data Analytics techniques supporting the processing of the large number of Earth Observation datasets currently acquired and generated through observations and simulations.However,Earth Science data and applications present specificities in terms of relevance of the geospatial information,wide heterogeneity of data models and formats,and complexity of processing.Therefore,Big Earth Data Analytics requires specifically tailored techniques and tools.The EarthServer Big Earth Data Analytics engine offers a solution for coverage-type datasets,built around a high performance array database technology,and the adoption and enhancement of standards for service interaction(OGC WCS and WCPS).The EarthServer solution,led by the collection of requirements from scientific communities and international initiatives,provides a holistic approach that ranges from query languages and scalability up to mobile access and visualization.The result is demonstrated and validated through the development of lighthouse applications in the Marine,Geology,Atmospheric,Planetary and Cryospheric science domains. | Peter Baumann Paolo Mazzetti Joachim Ungar Roberto Barbera Damiano Barboni Alan Beccati Lorenzo Bigagli Enrico Boldrini Riccardo Bruno Antonio Calanducci Piero Campalani Oliver Clements Alex Dumitrua,Mike Grant Pasquale Herzig George Kakaletris John Laxton Panagiota Koltsida Kinga Lipskoch Alireza Rezaei Mahdiraji Simone Mantovani Vlad Merticariu Antonio Messina Dimitar Misev Stefano Natali Stefano Nativi Jelmer Oosthoek Marco Pappalardo James Passmore Angelo Pio Rossi Francesco Rundo Marcus Sen Vittorio Sorbera Don Sullivan Mario Torrisi Leonardo Trovato Maria Grazia Veratelli Sebastian Wagner | 2016 | International Journal of Digital Earth2016，9，1： | 1 |
| 6 | Bionicprosthetic hands:A review of present technology and fu-ture aspirations显示文摘 | CLEMENT R G E BUGLER K E OLIVER C W | 2011 | The Surgeon Journal of the RoyalColleges of Surgeons of Edinburgh and Ireland2011，9，6： | 1 |
| 7 | Geospatial web services pave new ways for server-based on-demand access and processing of Big Earth Data显示文摘Big Earth Data has experienced a considerable increase in volume in recent years due to improved sensing technologies and improvement of numerical-weather prediction models.The traditional geospatial data analysis workflow hinders the use of large volumes of geospatial data due to limited disc space and computing capacity.Geospatial web service technologies bring new opportunities to access large volumes of Big Earth Data via the Internet and to process them at server-side.Four practical examples are presented from the marine,climate,planetary and earth observation science communities to show how the standard interface Web Coverage Service and its processing extension can be integrated into the traditional geospatial data workflow.Web service technologies offer a time-and cost-effective way to access multidimensional data in a user-tailored format and allow for rapid application development or time-series extraction.Data transport is minimised and enhanced processing capabilities are offered.More research is required to investigate web service implementations in an operational mode and large data centres have to become more progressive towards the adoption of geo-data standard interfaces.At the same time,data users have to become aware of the advantages of web services and be trained how to benefit from them most. | Julia Wagemann Oliver Clements Ramiro Marco Figuera Angelo Pio Rossi Simone Mantovani | 2018 | International Journal of Digital Earth2018，11，1： | 0 |
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