Being reflective is one of the most paramount features that EFL (English as a Foreign Language) teachers need to be equipped with in the post-method era for their professional growth and development. The present study aimed to explore reflective teaching from a multi-dimensional perspective in terms of a) determinants that simulates teachers to reflect, b) consequences that teachers experience as a result of their reflective teaching, and c) obstacles that may arise and preclude teachers from reflective teaching. Qualitative data collection method was employed to gather data from 10 EFL teachers triangulating semi-structured interviews, diaries, journal, and observation. Data analysis via MAXQDA led to the emergence of three models for each dimension of the study. The results revealed that teachers not only reflect to respond to a problem, but also they reflect to diminish some negative factors like stress or anxiety on the part of both learners and themselves as well as improving, enhancing, or mending something in teaching or learning. The codes of determinants were also conceptualized into three broad categories of reflection-in-action, reflection-on-action, and reflection-for-action with the reflection-for-action used more frequently by the teachers. In the case of consequences, the codes were classified into two categories of internal and external consequences. It was also concluded that some of the consequences reinforce the reflective teaching and play the role of determinants motivating teachers to reflect again. Regarding the obstacles, after categorizing the codes into external and internal obstacles, it was observed that external factors are more robust.

The power injection method (PIM) is an experimental method used to identify the statistical energy analysis (SEA) parameters (called loss factors – LFs) of a vibroacoustic system. By definition, LFs are positive real numbers. However, it is not uncommon to obtain negative LFs during experiments, which is considered a measurement error. To date, a recently proposed method, called Monte Carlo filtering (MCF), of correcting negative coupling loss factors (CLFs) has been validated for systems that meet SEA assumptions. In this article, MCF was validated for point connections and in conditions where SEA assumptions are not met (systems with low modal overlap, non-conservative junctions, strong coupling). The effect of removing MCF bias on the results was also examined. During the experiments, it was observed that the bias is inversely proportional to the damping loss factor of the examined subsystems. The obtained results confirm that the PIM, combined with MCF, allows to determine non-negative SEA parameters in all considered cases.

The combination of permanent magnets and electrically excited windings creates an air gap magnetic field. The development of a hybrid magnetic circuit motor with an adjustable magnetic field is of great significance. This article introduces a hybrid magnetic circuit motor design that combines salient pole electromagnetic and permanent magnets. A tubular magnetic barrier has been designed to reduce inter-pole leakage and enhance the usage rate of permanent magnets in the hybrid magnetic circuit motor. The optimum eccentricity of the rotor has been accurately designed, resulting in an improved sinusoidal distribution of the air gap magnetic density waveform. An analysis of the static composite magnetic field under various excitation currents has been conducted, showcasing the capability of the hybrid magnetic circuit motor to stably adjust the air gap flux density level and output torque. A prototype has undergone comprehensive trial production and testing, conclusively confirming the machine’s superior output performance.