The complexity of translating observations to clinical applications has progressively increased throughout the centuries due to ethical and practical concerns.
With this study we translated observations made in animals to a clinical scenario.
In essence, the weights in the lens component of this system are one way to operationalise a changing 'internal model' (i.e. a mental model or implicit theory of action) that translates observations into expectations and/or that translates errors into action.
In order to translate observations from animal models into human pathogenesis, we had previously studied peripheral and intrahepatic monocytes and macrophages from CLD patients and were able to demonstrate that monocytes, especially the non-classical CD14+CD16+ subset, significantly increase with disease progression [ 27].
This article presents a simple framework for categorising real-world observations and then translating these observations into the simulated environment – extracting key information from the data collected to configure the simulation tool as required.
The observations can be a combination of RSS, AOA, TOA or TDOA measurements and are calculated using only geometric approaches by translating the observation to a distance parameter and solving linear equations.
Differences can be found when translating these observations into game-theory.
Part of the challenge lies in designing repeatable experiments and then translating experimental observations into practical solutions in the field – laboratory depressurization rates are typically orders of magnitude higher than practical field rates.
The in vitro setup used in this experiment implies that care should be taken when translating the observations to clinical recommendations, but it is carefully suggested that the EMS device causes limited rise in temperature, even without coolant.
As the presence of immature T1 and T2 B cells have also been described in human peripheral blood [58], it will be important when translating these observations to human infections to define memory or germinal-centre experienced B cells using several markers besides GL7 and using functional assays to ensure that immature B cells are not included.
Translating these observations into a behavioral point of view, one could speculate that robotic surgery is easier to learn for a surgeon, without necessarily requiring a long cognitive training neither a strong bio-sensitive feedback.
