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With these two methods, we simulated cell detachment under parabolic shear flows and investigated effects of mechanical parameters (shear stress, viscosities of cytoplasm and nucleus, elastic properties of cell membrane) and the ratio of cell radius to microchannel height on cell detachment.
To assess the stability of the considered connectivity methods, we simulated 5 EI and E configurations, obtained by changing the network configuration (i.e., the seed generating synaptic pathways and weights).
To investigate these fusion methods, we simulated neural spike data and implemented the following algorithms for spike decoding: standard Kalman filter [35], [38], [39], optimal linear filter [40], [41], and a variant of the population vector algorithm (PVA) [23], [42], [43], [44].
Methods: We simulated mosquito biting rates using the Liverpool Malaria Model (LMM).
Following the procedure described in Materials and Methods, we simulated samples for cases and controls in a 200-kb region.
Using the basic configuration set (see Materials and Methods), we simulated 50 MSAs using INDELible (Fletcher and Yang 2009).
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To evaluate peak clustering methods, we simulate peak locations according to locations in real MCC/IMS datasets, together with the true partition of peaks.
To assess the performance of our methods, we simulate from 100 to SNPs for 200 individuals and generate exponential random networks with a density of 2% (chosen as an upper limit on the density of currently available gene-gene interaction networks) between those SNPs.
Using the SMD simulation method, we simulated the enforced dissociation processes of three different inhibitors, AHA001, XK263 and ABT538, from the binding pocket of the PR.
In order to validate the method, we simulated over 7000 integrated spectra of Seyfert 2 galaxies.
Using dissipative particle dynamics (DPD) method, we simulated the temporal developments of equilibrium microstructures of nanotube dispersions with a bimodal length distribution in polymer matrix.
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