In clay nanocomposites, the specific interface area is the key factor determining potential improvements of properties.
Using a proposed lumped parameter model and eigenvalue sensitivity study, beneficial pad design changes can be identified and implemented in the detailed FE model to determine the potential improvements in the dynamic stability of the system.
In order to determine the potential improvements in a-Si H PV performa-Si Hssociated with increased thicknesses of the i-layers made PVssible by higher operformancemperassociatedSi:H PV cells with tested under 1 sun increasedion (AM1.5) athicknessesres of 25 °C (Sthe, 50 °C (representative PV operating conditions), and 90 °C (representative PVT operating conditions).
In many cases, it is useful to determine the potential improvement in the performance of a whole process or sections of the process without actually developing the details of the solution.
Determining potential output is an occult discipline.
More complete understanding of these factors will lead to better risk adjustment models for measuring outcomes, determining fair reimbursement, and potential improvements to the efficiency of patient care.
Similar to previous research [ 9- 16, 16- 19, 21, 22], a clear majority also report that their recommendations to make care safer are at least partly or fully implemented in their organisations, although determining how effective these potential improvements actually were was not a study aim but nonetheless should be a subject of further research given the limited evidence.
Concretely assessing feedback systematically invites the patient to exchange information with the provider, to evaluate the treatment effect and the consultation, to discuss potential improvements, and to determine whether the treatment approach is appropriate or should be altered.
To determine the role of the OR and potential improvements, it is necessary to analyze the perspectives of those involved, including surgeons, residents, and medical students.
From analysis of these cases, current limitations and corresponding potential improvements of the system were determined.
We collected diverse biophysical data to allow spatial variability of soil organic carbon and factors contributing to this variation to be determined statistically, and used well established simulation models to interpret the data, predict long-term carbon dynamics and determine the potential for improvements in soil quality and mitigation of greenhouse gas emissions.
