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16篇 您的检索式:作者名="KIMBERLI Jones"
    题名 作者 年代 出处 被引量
1Prior corrosion and fatigue of 2024-T3 aluminum alloy显示文摘Kimberli Jones David W. Hoeppner 2005Corrosion Science2005,,10:2
2Exercise-Induced Left Ventricular Systolic Dysfunction in Women Heterozygous for Dystrophinopathy显示文摘Robert M. Weiss Richard E. Kerber Jane K. Jones Carrie M. Stephan Christina J. Trout Paul D. Lindower Kimberly S. Staffey Kevin P. Campbell Katherine D. Mathews 2010Journal of the American Society of Echocardiography2010,,8:1
3High HIF-1α expression genotypes in oral lichen planus显示文摘Carlos Alberto Carvalho Fraga Lucas Rodrigues Alves Luciano Marques-Silva Adriana Alkmim Sousa Antonio Sérgio Barcala Jorge Sabrina Ferreira Jesus Daniel Nogueira Vilela Ugo Borges Pinheiro Kimberly Marie Jones Alfredo Maurício Batista Paula André Luiz Se 2013Clinical Oral Investigations2013,,9:1
4The interaction between pitting corrosion,grain boundaries,and constituent particles during corrosion fatigue of 7075-T6 aluminum alloy显示文摘Kimberli Jones David W.Hoeppner 0,,04:1
5Protein and Humic Acid Adsorption onto Hydrophilic Membrane Surfaces:Effects of pH and Ionic Strength显示文摘Kimberly L Jones 2000Membrane Sci2000,,165:1
61699 IDENTIFYING NOVEL DNA METHYLATION MARKERS TO MONITOR BLADDER CANCER RECURRENCE IN URINE SEDIMENTS FROM TURBT PATIENTS显示文摘Andre Luis de Castro Abreu Sheng-Fang Su Kimberly Siegmund Yvonne Tsai Yoshitomo Chihara Eila Skinner Sia Daneshmand Peter A. Jones Gangning Liang 2013The Journal of Urology2013,,4:1
7Conserved molecular signatures of neurogenesis in the hippocampal subgranular zone of rodents and primates显示文摘Jeremy A. Miller Jason Nathanson Daniel Franjic Sungbo Shim Rachel A. Dalley Sheila Shapouri Kimberly A. Smith Susan M. Sunkin Amy Bernard Jeffrey L. Bennett Chang-Kyu Lee Michael J. Hawrylycz Allan R. Jones David G. Amaral Nenad Sestan Fred H. Gage Ed S. 2013Development2013,,22:1
8Prior corrosion and fatigue of 2024-33 aluminum alloy 显示文摘KIMBERLI Jones HOEPPNER DAVID W 2006Corrosion Seience2006,48,10:1
9Effect of prior corrosion on short crack behavior in 2024-T3 aluminum alloy显示文摘Kimberli Jones Sachin R. Shinde Paul N. Clark David W. Hoeppner 2008Corrosion Science2008,,9:1
10The interaction between pitting corrosion, grain boundaries, and constituent particles during corrosion fatigue of 7075-T6 aluminum alloy显示文摘Kimberli Jones David W. Hoeppner 2008International Journal of Fatigue2008,,4:1
11Serum Resistin (FIZZ3) Protein Is Increased in Obese Humans显示文摘Mikako Degawa-Yamauchi Jason E. Bovenkerk Beth Elisa Juliar William Watson Kimberly Kerr RoseMarie Jones Qihong Zhu Robert V. Considine 2003The Journal of Clinical Endocrinology & Metabolism2003,,11:1
12Pit-to-crack transition in pre-corroded 7075-T6 aluminum alloy under cyclic loading显示文摘Kimberli Jones David W. Hoeppner 2004Corrosion Science2004,,9:1
13Socioeconomic disparities in outcomes after acute myocardial infarction显示文摘Susannah M. Bernheim John A. Spertus Kimberly J. Reid Elizabeth H. Bradley Rani A. Desai Eric D. Peterson Saif S. Rathore Sharon-Lise T. Normand Philip G. Jones Ali Rahimi Harlan M. Krumholz 2007American Heart Journal2007,,:1
14Prognostic relevance of methylation markers in patients with non-muscle invasive bladder carcinoma显示文摘Martin G. Friedrich Shahin Chandrasoma Kimberly D. Siegmund Daniel J. Weisenberger Jonathan C. Cheng Marieta I. Toma Hartwig Huland Peter A. Jones Gangning Liang 2005European Journal of Cancer2005,,17:1
15Body Mass Index and Mortality in Acute Myocardial Infarction Patients显示文摘Emily M. Bucholz Saif S. Rathore Kimberly J. Reid Philip G. Jones Paul S. Chan Michael W. Rich John A. Spertus Harlan M. Krumholz 2012The American Journal of Medicine2012,,8:1
16Incorporation of near-real-time hospital occupancy data to improve hospitalization forecast accuracy during the COVID19 pandemic显示文摘Public health decision makers rely on hospitalization forecasts to inform COVID-19 pandemic planning and resource allocation.Hospitalization forecasts are most relevant when they are accurate,made available quickly,and updated frequently.We rapidly adapted an agent-based model(ABM)to provide weekly 30-day hospitalization forecasts(i.e.,demand for intensive care unit[ICU]beds and non-ICU beds)by state and region in North Carolina for public health decision makers.The ABM was based on a synthetic population of North Carolina residents and included movement of agents(i.e.,patients)among North Carolina hospitals,nursing homes,and the community.We assigned SARSCoV-2 infection to agents using county-level compartmental models and determined agents’COVID-19 severity and probability of hospitalization using synthetic population characteristics(e.g.,age,comorbidities).We generated weekly 30-day hospitalization forecasts during MayeDecember 2020 and evaluated the impact of major model updates on statewide forecast accuracy under a SARS-CoV-2 effective reproduction number range of 1.0e1.2.Of the 21 forecasts included in the assessment,the average mean absolute percentage error(MAPE)was 7.8%for non-ICU beds and 23.6%for ICU beds.Among the major model updates,integration of near-real-time hospital occupancy data into the model had the largest impact on improving forecast accuracy,reducing the average MAPE for non-ICU beds from 6.6%to 3.9%and for ICU beds from 33.4%to 6.5%.Our results suggest that future pandemic hospitalization forecasting efforts should prioritize early inclusion of hospital occupancy data to maximize accuracy.Alexander Preiss Emily Hadley Kasey Jones Marie C.D.Stoner Caroline Kery Peter Baumgartner Georgiy Bobashev Jessica Tenenbaum Charles Carter Kimberly Clement Sarah Rhea 2022Infectious Disease Modelling2022,7,1:0
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