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I have a simpler explanation for these seemingly unanswerable questions that are the raw material for the physicist's thought experiments: The question is wrong.
If our preliminary results from the present zebrafish feeding trial should be confirmed in necessary follow-up experiments, the question of labeling information on fish and animal food products raised on feed containing potentially allergenic ingredients could arise in order to minimize the exposure risk of allergic consumers.
While performing the above experiments, the question arose whether RCD induced by TRAIL/zVAD/HHT or TRAIL/zVAD/CHX indeed occurred exclusively by necroptosis or whether the presence of HHT or CHX might still result in a (residual) apoptotic response, i.e., activation of caspases.
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As we have now explored the emergent structure from tags using a direct acoustic analysis of the best exemplars in each cluster, and probed this semantic space further in a perceptual experiment, the question remains as to whether the two approaches bear any similarities.
This was no time for playfulness: "Focusing on the fun of experiments neglected the question of whether unceasing experimentation might frighten business into terrified inaction".
The experiments address the question how specific emotions influence word accuracy.
The enormity of quantitative data acquired in these experiments raises the question of what modeling approaches might be used to lend predictive and mechanistic insight into the signaling networks that govern the behavior of these phosphorylation sites[10].
Our next experiments addressed the question how PMT activates JNK.
Furthermore, our three experiments addressed the question whether the presentation mode impacts FRN and P3b amplitudes.
In this experiment the questions are generated from the same domain ontologies (OpenCyc and Computer Networks).
The chapter discusses the structure of each type of experiment, the questions that each type of experiment answers and characteristics that distinguish one type of experiment from another.
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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