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The data sequence collected by node i during the monitoring time T is denoted as X i : Xi=left[Xleft i,1right),dotst(i,2right),dots, Xleft i,T/Delta tright)right].
The dataset collected by all the nodes S is received at the sink node during the monitoring time T, which can be represented by a matrix D with size as (T/Δt) × n, D={left[{X}_1,dots2,dots, {X}_nright]}^{mathrm{T}}.
It was clearly indicated that the plasmid DNA could remain extremely stable in the adoptive condition during the monitoring time without substantial degradation, that was, the release medium has potential to improve the stability of plasmid DNA and prevent its degradation.
Without loss of generality, in the case that only one physical phenomena is measured by the sensor, for example, the temperature, the data sequence of node i during the monitoring time T is denoted as Xi: {X}_i=left[{mathrm{val}}_1,{mathrm{val}}_2,dots, {mathrm{val}}_{T/Delta t}right].
With regard to ICP, we grouped the patients according to the highest ICP values recorded during the monitoring time, namely, ICP < 20 mmHg, 20 mmHg < ICP < 40 mmHg, and ICP > 40 mmHg.
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In addition, calculation of CPPopt based on the currently used automated algorithm was on average only possible during half of the monitoring time.
CPPopt was calculable during 57% of the monitoring time.
The CPPopt concept seems applicable to ICH patients: CPPopt could be determined in all but one patient and during 57% of the monitoring time.
In our retrospective, explorative analysis, calculation of CPPopt was feasible in all but one patient and during 57% of the monitoring time.
The percentage of the total monitoring time during which CPPopt was calculable was recorded for each patient.
All patients had impaired cerebral autoregulation during their monitoring time.
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