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A primary challenge facing the companies commercialising fusion technology is building a supply chain, according to the Fusion Industry Association (FIA). Fusion developers are set to spend potentiall...
Objective. To determine if students who self-analyzed their own nonsterile preparations had increased confidence in their compounding skill. Methods. Self-efficacy surveys were given to P1 and P3 stu...
The aim of this article is to assess if the data provided by soft classifiers and uncertainty measures can be used to identify regions with different levels of accuracy in a classified image. To this ...
Objective. To assess pharmacy student confidence in their knowledge of qualifying conditions for medical cannabis use in the US and their attitudes toward curricular coverage of medical cannabis. Met...
Digital elevation models are one of the basic products that can be generated from remotely sensed imagery. The Semi Global Matching (SGM) algorithm is a robust and practical algorithm for dense image ...
This paper proposes that pharmacy schools should have a functional experiential evaluation system (EES). An EES consists of multiple assessment methods, guidelines for their optimal use, and procedure...
Objective. To evaluate online case simulation vs a paper case on student condence and engagement. Design. Students enrolled in a pharmacotherapy laboratory course completed a patient case sce...
Side-channel attacks usually apply a divide-and-conquer strategy, separately recovering different parts of the secret. Their efficiency in practice relies on the adversary ability to precisely asses...
Thus far, likelihood-based interval estimates for quantiles have not been studied in the literature on interval censored case 2 data and partly interval censored data, and, in this context, the use of...
Estimates of the fractal dimension of hypocentral distributions require evaluating the range of independent variables in which fractal parameters exhibit a power law. Systematic and accidental errors ...
This article introduces and evaluates several different word-level confidence measures for machine translation. These measures provide a method for labeling each word in an automatically generated tra...
We study the variability of predictions made by bagged learners and random forests, and show how to estimate standard errors for these methods. Our work builds on variance estimates for bagging propos...
Stylized evidence suggests that people process information about their own ability ina biased manner. We provide a precise characterization of the nature and extent of these biases. We directly elicit...
We study precise conditions under which the cyclic regenerative confidence intervals of Sargent and Shanthikumar are asymptotically valid. We also obtain an optimal way of implementing the cyclic rege...
Coverage error asymptotics for confidence intervals arising in simulation are discussed~ Asymptotic expansions, to order O(n-1) (n is the sample size), are given for confidence intervals associated wi...

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