| 2 | Wastewater surveillance provides 10-days forecasting of COVID-19 hospitalizations superior to cases and test positivity:A prediction study显示文摘Background:The public health response to COVID-19 has shifted to reducing deaths and hospitalizations to prevent overwhelming health systems.The amount of SARS-CoV-2 RNA fragments in wastewater are known to correlate with clinical data including cases and hospital admissions for COVID-19.We developed and tested a predictive model for incident COVID-19 hospital admissions in New York State using wastewater data.Methods:Using county-level COVID-19 hospital admissions and wastewater surveillance covering 13.8 million people across 56 counties,we fit a generalized linear mixed model predicting new hospital admissions from wastewater concentrations of SARS-CoV-2 RNA from April 29,2020 to June 30,2022.We included covariates such as COVID-19 vaccine coverage in the county,comorbidities,demographic variables,and holiday gatherings.Findings:Wastewater concentrations of SARS-CoV-2 RNA correlated with new hospital admissions per 100,000 up to ten days prior to admission.Models that included wastewater had higher predictive power than models that included clinical cases only,increasing the accuracy of the model by 15%.Predicted hospital admissions correlated highly with observed admissions(r¼0.77)with an average difference of 0.013 hospitalizations per 100,000(95%CI¼[0.002,0.025])Interpretation:Using wastewater to predict future hospital admissions from COVID-19 is accurate and effective with superior results to using case data alone.The lead time of ten days could alert the public to take precautions and improve resource allocation for seasonal surges. | Dustin T.Hill Mohammed A.Alazawi E.Joe Moran Lydia J.Bennett Ian Bradley Mary B.Collins Christopher J.Gobler Hyatt Green Tabassum Z.Insaf Brittany Kmush Dana Neigel Shailla Raymond Mian Wang Yinyin Ye David A.Larsen | 2023 | Infectious Disease Modelling2023，8，4： | 0 |
| 3 | 热机械加工对Ti-V-N钢显微组织和机械性能的影响显示文摘根据用凸轮式塑性计和淬火-变形膨胀仪分别对一种Ti-V微合金钢的奥氏体变形行为和连续冷却转变行为所做的研究,设计了钢板轧制程序,以得到:(ⅰ)再结晶奥氏体,(ⅱ)未再结晶奥氏体,(ⅲ)变形铁素体+未再结晶奥氏体。研究了奥氏体状态和冷却速度对最终显微组织和机械性能的影响。为了从理论上解释最终铁素体晶粒尺寸随不同热机械加工工艺制度的变化,除了要考虑铁素体成核点的密度外,还必须考虑铁素体晶粒长大动力学,说明了膨胀仪研究在确定某一钢最佳变形工艺制度和冷却速度方面的好处。拉伸和冲击性能的范围宽,是由于所研究的显微组织不同造成的。屈服强度随变形铁素体、贝氏体或马氏体量的增多而提高,随铁素体晶粒尺寸的减小而提高,冲击韧性受铁素体晶粒尺寸和轧制平面出现分层的影响最为强烈。 | Dogan B.Collins L.E.Boyd J.D. 王苹 | 1991 | 钢铁钒钛1991，12，1： | 0 |
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