scholarly journals Benchmark Evaluation of TREAT Reactor M2 and M3 Transient Experiments

2019 ◽  
Author(s):  
Ayman I. Hawari
2017 ◽  
Author(s):  
Chad L. Pope ◽  
◽  
Edward S Lum ◽  
Ryan Stewart ◽  
Bilguun Byambadorj ◽  
...  

1999 ◽  
Vol 103 (30) ◽  
pp. 6267-6271 ◽  
Author(s):  
A. Böttcher ◽  
M. Rogozia ◽  
H. Niehus ◽  
H. Over ◽  
G. Ertl

2014 ◽  
Vol 178 (3) ◽  
pp. 387-400 ◽  
Author(s):  
John D. Bess ◽  
Leland M. Montierth ◽  
Oliver Köberl ◽  
Luka Snoj

2015 ◽  
Vol 28 (5) ◽  
pp. 510-519 ◽  
Author(s):  
Abdelhakim Abdelhadi

Purpose – The purpose of this paper is to investigate a lean manufacturing metric called Takt time as a benchmark evaluation measure to evaluate a public hospital’s service quality. Lean manufacturing is an established managerial philosophy with a proven track record in industry. A lean metric called Takt time is applied as a measure to compare the relative efficiency between two emergency departments (EDs) belonging to the same public hospital. Outcomes guide managers to improve patient services and increase hospital performances. Design/methodology/approach – The patient treatment lead time within the hospital’s two EDs (one department serves male and the other female patients) are the study’s focus. A lean metric called Takt time is used to find the service’s relative efficiency. Findings – Findings show that the lean manufacturing metric called Takt time can be used as an effective way to measure service efficiency by analyzing relative efficiency and identifies bottlenecks in different departments providing the same services. Originality/value – The paper presents a new procedure to compare relative efficiency between two EDs. It can be applied to any healthcare facility.


2019 ◽  
Author(s):  
Jeroen van Paridon ◽  
Bill Thompson

This paper introduces a collection of vector-embeddings models of lexical semantics in 55 languages, trained on a large corpus of pseudo-conversational speech transcriptions from television shows and movies. The models were trained on the OpenSubtitles corpus using the fastText implementation of the skipgram algorithm. Performance comparable with (and in some cases exceeding) models trained on non-conversational (Wikipedia) text is reported on standard benchmark evaluation datasets. A novel evaluation method of particular relevance to psycholinguists is also introduced: prediction of experimental lexical norms in multiple languages. The models, as well as code for reproducing the models and all analyses reported in this paper (implemented as a user-friendly Python package), are freely available at: https://github.com/jvparidon/subs2vec/


Author(s):  
Thomas Wesche ◽  
Stanley Anderson ◽  
Walter Eifert

The primary goal of this study is to establish the mechanism for a benchmark evaluation of the natural resource conditions of the Bighorn Basin prior to 1983. To accomplish this goal, the principal obectives of this investigation are two fold: 1. By means of literature and computer searches and extensive personal communication with key personnel of a variety of agencies, institutions, and other entities, systematically locate and establish the sources, nature, and availability of both quantitative and qualitative data from the Bighorn Basin in Wyoming dealing with: a. aquatic and riparian habitat; b. land and water uses; c. wildlife and fishery resources; and d. water resources. 2. Compile, categorize and key-word bibliographic information reviewed under Obective No. 1, and enter these data onto a computerized bibliographic storage and retrieval system compatible with the University of Wyoming's Cyber System.


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