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The paper presents some hardware solutions for the bit-byte CPU of a PLC, which are oriented for optimisation of data exchange between the CPU processors.
These should be resolved by further research in assays and technological development, as well as standardisation and calibration of known biomarkers and optimisation of data collection (box 2).
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Important future challenges surrounding system optimisation include standardisation of data so that these can be aggregated across systems for meaningful secondary uses, and implementation of data exchange with organisations outside the hospital.
Furthermore, the less good inter-observer variability is probably influenced by the use of slightly different contrast and echogenicity settings used during optimisation of the raw data sets by each observer.
This file contains: General Information; Analytical Methods; Synthetic Procedures and Analytical Data; Optimisation of Irradiation Conditions; Determination of the Absolute Configuration Detailss for the DFT Investigations NMR Spectra NMR-Titrationon; Determination of Quantum Yield; Emission Spectra of Catalyst 2; Estimation of Allene Triplet Energy; HPLC Traces; and References.
Although useful from a quality control point-of-view, process optimisation would require the availability of data upstream, where a plethora of physico-chemical phenomena (chemical reactions, physical blending, degradation, etc).
According to all these data, optimisation of β-lactam regimens should be considered in cases of infection by less susceptible pathogens in septic patients during CRRT.
However, the process of grid optimisation, data collection and processing of cryo-EM data sets lead to a longer experimental time frame than for the negative stain microscopy approach detailed here.
Important areas in this context include the creation of formal partnerships between hospitals and vendors; and the optimisation of systems and the derivation of data.
One example given by the authors is the reporting of prognostic marker significance without disclosing extensive manipulation of data for cutoff optimisation and variable selection.
This can be dealt with by applying either experiment-wise prior knowledge or an additional module in the structure optimisation explicitly dealing with that kind of data.
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