scholarly journals National Estimates of Gross Employment and Job Flows from the Quarterly Workforce Indicators with Demographic and Industry Detail

Author(s):  
John M. Abowd ◽  
Lars Vilhuber

Hepatology ◽  
2021 ◽  
Author(s):  
Carlos Lago‐Hernandez ◽  
Nghia H. Nguyen ◽  
Rohan Khera ◽  
Rohit Loomba ◽  
Sumeet K. Asrani ◽  
...  


Author(s):  
Niek B Achten ◽  
Amadu E Juliana ◽  
Neirude P Lissone ◽  
Jan C Sinnige ◽  
Natanael Holband ◽  
...  

Abstract We conducted a nationwide surveillance study to produce reliable national estimates on incidence, etiology, and mortality of early-onset neonatal sepsis (EONS) in Suriname. The estimated national population incidence rate of EONS was 1.37 (95% CI: 0.90–1.99) per 1000 live births and in-hospital mortality was 25.9%.





2021 ◽  
Vol 160 (6) ◽  
pp. S-123-S-124
Author(s):  
Jacob E. Kurlander ◽  
John N. Mafi ◽  
Elliot B. Tapper ◽  
Geoffrey Barnes ◽  
Caroline R. Richardson ◽  
...  


2017 ◽  
Vol 49 (2) ◽  
pp. 603-628 ◽  
Author(s):  
Ramtin Pedarsani ◽  
Jean Walrand ◽  
Yuan Zhong

Abstract Modern processing networks often consist of heterogeneous servers with widely varying capabilities, and process job flows with complex structure and requirements. A major challenge in designing efficient scheduling policies in these networks is the lack of reliable estimates of system parameters, and an attractive approach for addressing this challenge is to design robust policies, i.e. policies that do not use system parameters such as arrival and/or service rates for making scheduling decisions. In this paper we propose a general framework for the design of robust policies. The main technical novelty is the use of a stochastic gradient projection method that reacts to queue-length changes in order to find a balanced allocation of service resources to incoming tasks. We illustrate our approach on two broad classes of processing systems, namely the flexible fork-join networks and the flexible queueing networks, and prove the rate stability of our proposed policies for these networks under nonrestrictive assumptions.



Brain Injury ◽  
2003 ◽  
Vol 17 (11) ◽  
pp. 983-990 ◽  
Author(s):  
Mario Schootman ◽  
Timothy G. Buchman ◽  
Lawrence M. Lewis


2017 ◽  
Vol 53 (3) ◽  
pp. 1349-1372 ◽  
Author(s):  
Chen Feng ◽  
Michael K. Paasche-Orlow ◽  
Nancy R. Kressin ◽  
Jennifer E. Rosen ◽  
Lenny López ◽  
...  


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