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Linear regression was used to evaluate whether FAO estimates predicted GDD dietary intakes and whether this prediction varied according to age, sex, region, and time.
The enlarged PTOLEMY would count the number of electrons that neutrinos have bumped up in energy to determine whether this prediction is correct.
To test whether this prediction applies to the competition for ephemeral patches of food, we manipulated food abundance over a broad range of values in two separate experiments (24- and 64-fold, respectively) while monitoring the aggressive behaviour of juvenile convict cichlids,Archocentrus nigrofasciatum, competing for the food.
In order to determine whether this prediction was reflected in terms of altered protein structure, 2-D 1H/15N heteronuclear single quantum coherence (1H/15N HSQC) NMR spectra were acquired for the wild-type and mutant proteins.
Of course, specific experiments will be needed to verify whether this prediction is verified.
The aim of the present study was therefore to investigate whether this prediction of the previous RSA trial was correct.
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We use the horizontal acceleration data caused by the motion of the VLBI antenna to verify whether this theoretical prediction is correct.
The purpose of this systematic review and meta-analysis was to investigate whether this RSA prediction was correct.
A between-subjects experimental design tested this prediction, manipulating whether gender and success felt congruent, incongruent, or not linked (control).
To test whether the temporal responses match this prediction, the time course of firing rate was measured at the heading associated with the largest positive gradient, for neurons recorded during the 3D cloud protocol.
To determine whether there is evidence supporting this prediction for the genes within the nonrecombining region of this N. tetrasperma lineage, we calculated Ka and Ks for all ortholog pairs between each N. tetrasperma strain and N. crassa and compared the Ka/ Ks ratios for the genes within the nonrecombining region to those for the genes outside it.
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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