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We describe the design and performance of an experiment to search for aberrations from the broadband noise power associated with a 5 K copper resonant cavity in the vicinity of 34 GHz (0.1 meV).
And, the report emphasizes, "[a]s the content expert in matters related to the laboratory, the PI [principal investigator] is most able to provide guidance concerning what constitutes a hazard in the performance of an experiment or research plan".
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To investigate the active heat storage performance of APTPCMW, an experiment is designed and carried out.
External RNA controls (ERCs), which can be either added to the total RNA level (tERCs) or introduced right before hybridization (cERCs), are designed and recommended by commercial microarray platforms for assessment of performance of a microarray experiment.
As both sensitivity and specificity are influenced by various experimental factors, including sample preparation, the sequencing itself and the bioinformatic pipelines used to analyse data, the procedure could be used to assess the performance of a sequencing experiment globally and could complement other commonly used approaches, such as the assessment of base call quality or of coverage metrics.
The "Nutcracker" performance is an experiment born out of desperation.
The area under the ROC curve (ROC AUC) summarizes the overall performance of a virtual screening experiment [2], whereas the partial area under the ROC curve (pAUC) allows to focus on a specific region of the curve and is usually calculated at a given early FPF value [3].
Sample preparation techniques are equally important for the performance of a label-free experiment, and easier to optimize on a daily basis than the mass spectrometer's properties.
The performance of a targeted enrichment experiment will also depend upon the mode and quality of processing of the input DNA sample.
Our idea is to characterize the performance of a particular hybridization experiment in terms of its mean Δ-vs-Σ trajectory averaged over all probes of one particular microarray in analogy to the "individual" Δ-vs-Σ trajectory of each single probe.
In the end, the detector performance decides the outcome of an experiment, and even the most sophisticated data analysis cannot make up for a bad detector.
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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