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To examine whether miR172 levels change as plants develop, we monitored the temporal expressions of miR172a and miR172d in leaf blades.
The following indices were recorded and monitored: the temporal, masseter, and mean percentage overlapping coefficients (POCs), as the index of symmetrical distribution of the muscular activities; the asymmetry, activation, and torque coefficients; and the cotton clench, clench, and percentage impact.
To investigate this possibility, we monitored the temporal interaction between BAT1 and APN by measuring their co-expression in oocytes over 6 days.
We treated HCT116 (MMR++, MMR+) cells with 6-TG (3µmol/L) for 24 hours and then monitored the temporal changes in the onset of G2/M cell cycle arrest and apoptosis using propidium iodide staining and flow cytometry as well as autophagy using GFP-LC3 staining daily over a period of 5 days.
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We monitor the temporal dynamics of tissue clearance via NMR spectroscopy, protein assays and optical emission spectroscopy.
However, we lack robust and efficient ways to monitor the temporal dynamics of leaf traits.
The joint application of these real-time methodologies allows us to monitor the temporal evolution of the system.
Thus we can monitor the temporal evolution of magnetic fields from the farside to the frontside of the Sun using SDO/HMI and farside magnetograms generated by our model when farside extreme-ultraviolet data are available.
The synthesis and a new way of monitoring the temporal evolution of the inorganic nanostructure using deuterium NMR spectroscopy are described.
For monitoring the temporal evolution of the luminescence from the active region of the laser, time-resolved spectroscopy has been employed.
Results from this study demonstrated advances in several aspects of monitoring the temporal distribution of DOM on the continental shelf of Florida using EEM and PARAFAC methods.
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