Debriefng is a crucial aspect of simulation-based educational interventions in healthcare. This section of this pocket book aims to clarify what debriefng is really about and why it is such an important aspect of the learning process for everyone involved: participants, simulation observers, and facilitators alike. It also places emphasis on the aspect of briefng as a phase that sets foundation for a successful debriefng so learners understand the approach adopted and what will be expected from them during that phase and its purpose. The many other critical aspects around the practicalities of debriefng, which are “the what, who, when, where, and how to debrief”, are individually explored to provide clear advice with support of relevant references. Of notable importance in this section is the clear description of the most common education performance review approaches (directive feedback, plus/delta, after action review, structured debriefing, etc.) so the most appropriate one can be selected depending on various parameters such as the learning objectives being addressed, the level of expertise of the participants, and the time available.

A theoretical model based on the numerical integration of the continuity equation for electrons with traplimited density-dependent diffusion and recombination constants is implemented to describe the functioning of dye-sensitized solar cells (DSSC). The application of the model combines recent theory on charge transport in nanocrystalline materials with parameters extracted from five simple measurements: the UV/vis spectrum of the dye in solution, the steady-state current-voltage curve, the open circuit photovoltage versus light intensity curve, photocurrent transient upon switching on an illumination source, and open-circuit voltage decay upon switching off the illumination source. As a novel feature not previously included in this kind of calculations, the model includes an additional term that accounts for the charge transfer from the transparent conducting oxide (TCO) substrate to the electrolyte solution. The general applicability of the model is illustrated by applying it to two different types of cell: a TiO2-based solar cell with an organic solvent electrolyte and a ZnO-based solar cell with a solvent-free electrolyte. It is found that the numerical model is capable of adequately fitting all data for both systems, resulting in quantitative estimates for the main parameters controlling solar cell functioning and efficiency. The results show that it is possible to provide a global description of DSSCs based on fundamental theories for trap-limited transport and recombination using simple experimental techniques available to every solar cell laboratory. The present paper tries to help fill the gap between pure theoreticians and experimentalists working on this kind of system.

The disadvantage that ordinary active suspension model is in low accuracy and practicability which is caused by the neglect of actuator motion is brought forth through analyzing the assemble of active suspension. The model including hydraulic system parameters is obtained through building the active suspension hydraulic system model. The weighting coefficient matrix of car body acceleration, suspension deflection, and tyre displacement is determined through analyzing the principle of LQG control and the active suspension LQG control strategy is brought out. The conclusion that active suspension promote more control stability and riding comfort than passive suspension and PID control is made by simulation and comparing with passive suspension and active suspension PID control. The force output amplitude performance of the LQG control is better than the PID control which can be get from the force signals.