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12篇 您的检索式:作者名="Tony Moors"
    题名 作者 年代 出处 被引量
1浓料液中铜的溶剂萃取显示文摘用多种浓度的料液对现有铜萃取剂的适应性进行了考察.结果证明.经过改质的更强的乙醛后萃取剂同含有较弱的铜肟萃取剂的混合萃取剂相比,性能更加优越,尤其是经酯改质的ACORGAM5640萃取剂,在所有被考察的萃取剂中,最适合处理浓料液.在回收率、对铁的选择性及抗水解降解等方面ACORGAM5640显示出明显的优越性.为证实ACORGAM5640对浓料液的适应性,进行了实例研究.Tony Moors Brian Townson Charles Maes 黄迪恭 2000有色金属(冶炼部分)2000,,3:7
2Benchmarking Least Squares Support Vector Machine Classifiers显示文摘Tony van Gestel Johan A.K. Suykens Bart Baesens Stijn Viaene Jan Vanthienen Guido Dedene Bart de Moor Joos Vandewalle 2004Machine Learning2004,,1:2
3Benchmarking Least Squares Support Vector Machine Classifiers显示文摘Tony van Gestel Johan A.K. Suykens Bart Baesens Stijn Viaene Jan Vanthienen Guido Dedene Bart de Moor Joos Vandewalle 2004Machine Learning2004,,1:1
4Using Modified Strong Copper Extractants to Treat Sulfidic Ores显示文摘Charles Maes Tony Moore Owen Tinkler etal 2003JOM Journal of the Minerals Metals and Materials Society2003,55,7:1
5No Role for Routine Chest Radiography in Stage I Seminoma Surveillance显示文摘Shaun Tolan Danny Vesprini Michael A.S. Jewett Padraig R. Warde Martin O'Malley Tony Panzarella Jeremy F.G. Sturgeon Malcolm Moore Betty Tew-George Mary K. Gospodarowicz Peter W.M. Chung 2009European Urology2009,,3:1
6Stage II Testicular Seminoma: Patterns of Recurrence and Outcome of Treatment显示文摘Peter W.M Chung Mary K Gospodarowicz Tony Panzarella Michael A.S Jewett Jeremy F.G Sturgeon Betty Tew-George Andrew J.S Bayley Charles N Catton Michael F Milosevic Malcolm Moore Padraig R Warde 2004European Urology2004,,6:1
7Benchmarking Least Squares Support Vector Machine Classifiers显示文摘Tony van Gestel Johan A.K. Suykens Bart Baesens Stijn Viaene Jan Vanthienen Guido Dedene Bart de Moor Joos Vandewalle 2004Machine Learning2004,,1:1
8Connexin 50 mutation in a family with congenital 'zonular nuclear' pulverulent cataract of Pakistani origin显示文摘Vanita Berry Donna Mackay Shagufta Khaliq Peter J. Francis Abdul Hameed Khalid Anwar S. Qasim Mehdi Richard J. Newbold Alex Ionides Alan Shiels Tony Moore Shomi S. Bhattacharya 1999Human Genetics (-)1999,,1:1
9Benchmarking Least Squares Support Vector Machine Classifiers显示文摘Tony van Gestel Johan A.K. Suykens Bart Baesens Stijn Viaene Jan Vanthienen Guido Dedene Bart de Moor Joos Vandewalle 2004Machine Learning2004,,1:1
10Benchmarking Least Squares Support Vector Machine Classifiers显示文摘Tony van Gestel Johan A.K. Suykens Bart Baesens Stijn Viaene Jan Vanthienen Guido Dedene Bart de Moor Joos Vandewalle 2004Machine Learning2004,,1:1
11Children’s cognitive recovery after day‐case general anesthesia: a randomized trial of propofol or isoflurane for dental procedures显示文摘Keith Millar Adrian W. Bowman Deirdre Burns Paul McLaughlin Tony Moores Neil S. Morton Toni Musiello Ewan Wallace Alyson Wray Richard R. Welbury 2014Paediatr Anaesth2014,,:1
12COVID-19 induced renal injury differs from that in other viral-infections显示文摘Background:Kidney injuries caused by several viral diseases have been reported worldwide among all age groups,races,and genders.Of particular importance is coronavirus disease 2019(COVID-19),and its prevalence in communities infecting all patient populations with symptoms ranging from asymptomatic to severe,including complications and mortality.Methods:Data were acquired from PubMed,Scopus,Google Scholar,Centers for Disease Prevention and Control(CDC),and Lexi-Comp using the following search terms:“COVID-19 and renal pathology,”“COVID-19 induced kidney disease,”“Viral infection induced kidney disease,”and“Viral infection induced renal damage.”Titles and abstracts were manually analyzed as per the exclusion and inclusion criteria of relevant articles;relevance of articles included studies on the pathology of a specific viral infection and the impact of the virus on the adult renal system.Results:The mechanisms for renal disease due to COVID-19 include direct renal tubular injury,cytokine storm,inflammation,thrombosis vs.acute tubular necrosis,thrombotic events,and direct renal injury.Although some mechanisms behind renal dysfunction among the studied viral infections are similar,the prevalence rates of kidney injury or damage differ.This might be described by recommended prophylactic and therapeutic approaches that can alter the viral infection characteristics and possibly the impact a particular organ system.Conclusion:The patient population at risk was old in age and had a high body mass index.The mechanisms associated with renal dysfunction are similar,including direct renal injury through angiotensin converting enzyme 2(ACE2)entry,inflammation,and thrombosis.The renal pathology of coronaviruses that differs from that of other prevalent viral infections is the activation of cytokine storm,which causes elevations of a greater number and different kinds of cytokines than other viral infections.Rachel S.Parise Manoj Govindarajulu Sindhu Ramesh Tony Thomas Timothy Moore Muralikrishnan Dhanasekaran 2022Emergency and Critical Care Medicine2022,2,1:0
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