Mechanized tunneling induced building settlements and design of optimal monitoring strategies based on sensitivity field

2018 ◽  
Vol 97 ◽  
pp. 246-260 ◽  
Author(s):  
Chenyang Zhao ◽  
Arash Alimardani Lavasan ◽  
Raoul Hölter ◽  
Tom Schanz
Trials ◽  
2013 ◽  
Vol 14 (S1) ◽  
Author(s):  
Alice Sitch ◽  
Jac Dinnes ◽  
Julie Parkes ◽  
Walter Gregory ◽  
Jenny Hewison ◽  
...  

2015 ◽  
Vol 7 (2) ◽  
pp. 27-44 ◽  
Author(s):  
Alex Gershkov ◽  
Eyal Winter

In this paper we analyze a principal's optimal monitoring strategies in a team environment. In doing so we study the interaction between formal monitoring and informal (peer) monitoring. We show that if the technology satisfies complementarity, peer monitoring substitutes for the principal's monitoring. However, if the technology satisfies substitution, the principal's optimal monitoring is independent of the peer monitoring. We also show that if the technology satisfies complementarity, then the principal in the optimal contracts will monitor more closely than in the case of substitution. (JEL D23, D82, M54)


2019 ◽  
Vol 69 (suppl 1) ◽  
pp. bjgp19X702917
Author(s):  
Martha Elwenspoek ◽  
Rita Patel ◽  
Jessica Watson ◽  
Ed Mann ◽  
Katharine Alsop ◽  
...  

BackgroundMore than half of tests ordered by GP practices are to monitor long-term conditions such as high blood pressure, diabetes, and chronic kidney disease (CKD). There is a large variation in ordered tests between GP practices, suggesting some tests may not be appropriate. Unnecessary testing should be avoided as it can generate anxiety for patients, increase workload for doctors, and increase costs for the health service.AimThe objective was to review monitoring strategies for hypertension, type 2 diabetes, and CKD patients and to investigate the evidence-base underlying these recommendations.MethodCurrent UK guidelines on the relevant diseases were reviewed. Any guidance on the use of laboratory tests for disease monitoring (not including drug monitoring recommendations), the recommended frequency of testing, as well as the level of evidence on which the guidance was based was extracted.ResultsGuidelines for the use of monitoring tests in primary care for hypertension, diabetes, and CKD are unclear and incomplete; for example, recommended frequency of testing varied between guidelines or was not specified at all. Current recommendations for monitoring chronic diseases are largely based on expert opinion; robust evidence for optimal monitoring strategies and testing intervals is lacking.ConclusionIn the absence of clear evidence, clinicians should consider which tests are likely to influence patient management and should ensure that there is a clear clinical rationale for each test that they perform. Future research should address what the optimal strategy for monitoring chronic conditions consists of, and how it can be evaluated.


2020 ◽  
Author(s):  
Ana Gonzalez-Nicolas Alvarez ◽  
Wolfgang Nowak ◽  
Michael Sinsbeck ◽  
Marc Schwientek

<p>Commonly, chemical catchment regimes are described by a simple regression slope of log-concentrations versus log-discharges measured in the catchment outlet river. The slope value of these plots defines the chemical regime of a catchment. A slope=-1 corresponds to a constant contaminant release subject to dilution by rainfall (an unrealistic extreme but needed as a base flow); whereas a slope=0 means that there are chemostatic effects in the catchment or a washout of contaminants at a constant concentration. However, reality shows that actual time-series measurements of discharge and concentrations conflict with this naive representation since the measurements show temporal hysteresis that defies regression assumptions (i.e. that regression residuals must be uncorrelated). To represent this time interaction beyond regression, we design a simple stochastic time-series model that accounts for fluctuating concentration release and transport with memory. In this work, we also establish how to get the observation data required for a robust estimation of the slope with the least effort. To show the capability of our proposed model and method, we apply a retrospective optimal design of experiments to a high-frequency data series of nitrate concentration (collected by online probes) and discharge of a real catchment in Germany. We thin out the data by applying frequency and event-based monitoring strategies to find out the key components of the strategies that best predict the catchment behavior. Results indicate that our catchment under study (the Ammer catchment in southwestern Germany) is relatively close to a chemostatic type catchment and that our stochastic model, in fact, provides more accurate results for small data sets. Also, optimal data collection schemes for this purpose should be event-based, considering both high and low extremes of discharge that are spread out over time.</p>


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