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Our findings underscore the importance of finely adjusting the selection of empiric antimicrobial therapy to the local epidemiological conditions.
Our method is controlled by a single parameter that influences the number of computed EMs, by adjusting the selection probability during the execution of the algorithm.
Here we introduce the projection operator π W : L 2 → W which, for any function g ∈ L 2, denotes the orthogonal projection onto W, i.e. (6) (g - π W (g ), q ) ≔ ∫ Ω [ g - π W (g ) ] qdV ≔ 0, ∀ q ∈ W. In this way, we may elect to represent g coarsely or finely by adjusting the selection of the space W (as we will discuss further in the following sections).
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We developed a novel pixel-based compositing technique that dynamically adjusts the selection process to the underlying land surface phenology (LSP) of each pixel.
Moreover, a competition mechanism is proposed to adaptively adjust the selection rates of the operators, and some knowledge-based local search operators are developed to enhance the exploitation ability of the CMA.
The first model estimates the treatment effect using all covariates identified to adjust the selection bias.
Propensity score matching aims to adjust the selection bias in nonexperimental, nonrandomized, and retrospective observational studies.
Since independence of features cannot be assumed a priori, we adjusted the selection procedure to consider the mutual correlation between features as well as their separation power.
In spite of the selection methods, diversity shown in [23], and the use of five information variables for the decision making, this algorithm does not adjust the selection according to a particular application, for instance, BE or RT.
As can be seen in Fig. 3, from the year 2012 there was an relevant growth in the trends of web search popularity for the term "Internet of Things", consequently, this study adjusted the selection criteria to survey journal papers from the year 2012.
After controlling the difference of hospitals' characteristics in designing and using PSM to partially adjust the selection bias of doctors' characteristics, we demonstrated that public reporting of medicine information could decrease the percentage of prescriptions requiring injections in township hospitals of China.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com