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3篇 您的检索式：作者名="Matthew Streeter"

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		题名	作者	年代	出处	被引量
	1	Genetic Programming's Human-Competitive Results显示文摘	KOZA John R KEANE Martin A STREETER Matthew J	2003	IEEE2003，，：	1
	2	Effect of zinc treatment on clinical outcomes in patients with liver cirrhosis:A systematic review and meta-analysis显示文摘BACKGROUNDZinc is an essential trace element integral to many cellular and immune functions.Zinc deficiency is highly prevalent in patients with cirrhosis and related to diseaseseverity.AIMTo evaluate whether zinc supplementation improves clinical outcomes (diseaseseverity and mortality) in patients with cirrhosis.METHODSThis prospectively registered systematic review (PROSPERO reference:CRD42018118219) included all studies in Medline, Embase or Cochrane databasewith inclusion criteria of adult human studies, comparing zinc supplementationof at least 28 d with standard care or placebo in patients with cirrhosis. Mortalityand clinical severity score data were extracted. Random effects meta-analysescompared mortality at 6 mo and 2 years. Risk of bias was assessed using theNational Institutes of Health quality assessment tool.RESULTSSeven hundred and twelve articles were identified of which four were eligible.Zinc formulations and doses varied (elemental zinc 3.4-214 mg daily) for different intervention periods in patients with differing etiology and severity of cirrhosis.Two studies were considered to be at high risk of bias. There was no significantdifference in 6-mo mortality between patients treated with zinc versus controls[risk ratio 0.98 (0.90-1.05)]. Changes in severity scores were not reported in anystudy.CONCLUSIONZinc supplementation is not associated with reduced mortality in patients withcirrhosis. Findings are limited by the small number of eligible studies andsignificant heterogeneity in intervention and patient population.	Huey K Tan Adam Streeter Matthew E Cramp Ashwin D Dhanda	2020	World Journal of Hepatology2020，12，7：	1
	3	Data-driven science and machine learning methods in laser-plasma physics显示文摘Laser-plasma physics has developed rapidly over the past few decades as lasers have become both more powerful and more widely available.Early experimental and numerical research in this field was dominated by single-shot experiments with limited parameter exploration.However,recent technological improvements make it possible to gather data for hundreds or thousands of different settings in both experiments and simulations.This has sparked interest in using advanced techniques from mathematics,statistics and computer science to deal with,and benefit from,big data.At the same time,sophisticated modeling techniques also provide new ways for researchers to deal effectively with situation where still only sparse data are available.This paper aims to present an overview of relevant machine learning methods with focus on applicability to laser-plasma physics and its important sub-fields of laser-plasma acceleration and inertial confinement fusion.	Andreas Döpp Christoph Eberle Sunny Howard Faran Irshad Jinpu Lin Matthew Streeter	2023	High Power Laser Science and Engineering2023，11，5：	0

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