Obtaining an optimal motor design is not always a simple task, considering that it involves designing a model with many interrelated parameters, where each modification significantly affects the motor’s performance characteristics. This paper analyses numerous synchronous motor models with embedded magnets of spoke-type, obtained by varying several parameters (magnets and motor length, magnets width, and number of conductors per slot) within defined limits in a software module optimetric analysis. Each combination of these varied parameters results in a different motor model with corresponding performance characteristics. From the obtained models, the best solutions are identified, i.e., combinations of parameters that result in high efficiency while simultaneously minimizing the consumption of magnetic material and reducing cogging torque. The conducted analysis revealed that there is more than one model that can be considered as optimal, especially when considering multiple objectives, such as high efficiency, low magnetic material consumption, reduced dimensions, and low cogging torque. The application of optimetric analysis also enables the execution of a sensitivity analysis, examining the impact of each varied parameter on the corresponding objective function. The presented methodology offers the designer a range of solutions that can be identified as optimal, providing greater flexibility in the construction of appropriate prototypes.

Integration of key questions in teaching and studying is an important factor for a sustainable development of education, including the improvement of teaching quality too. Thus, encouraging critical thinking among students, solving logical tasks based on analyses, a motivation for participating in activities and problem solving, provides a sustainable educational development. Technology needs to support teachers, not to take over their place in education. The enlargement of professional ICT use will influence positively on the enlargement of ICT competencies of teachers. In this context is the research which has the aim to analyze the efficiency of the digital platform www.nastava.mk, the success of students in using the platform according to their academic level, the intensity of using the platform, way and reason for using the platform and the influence of ICT competencies of teachers for achieving a greater success of students. Results have shown that there is a significant connection between academic success and the success of using the platform among students, also, there are statistically significant differences of students’ success on the platform according to the intensity of using the platform itself as well as existing statistically significant differences of students’ success on the platform according to the teacher’s ICT competencies.

A 10-kW switched reluctance motor is investigated with respect to key design parameters, including the number of winding turns, the stator and rotor pole-arc–to–pole-pitch ratios and the machine axial length. The analysis is carried out by systematically varying these four parameters within predefined bounds and identifying the optimal combination that maximises efficiency. The accuracy of the optimised motor model is validated using manufacturer catalogue data. The results illustrate the influence of each design parameter on the motor’s efficiency. Finally, the transient performance is evaluated, emphasising the importance of appropriate motor control strategies, particularly the selection of turn-on and turn-off angles and proper DC-link size to achieve the desired operating behaviour.

Conventional RP-HPLC methods in pharmaceutical industry still dominantly rely on hazardous solvents like methanol (MeOH) and acetonitrile (ACN), presenting significant environmental and safety challenges. Although ethanol (EtOH) is recognized as greener alternative, isoeluotropic relationships between EtOH and these conventional solvents will broaden its implementation in routine HPLC analyses. To address this issue, the study presents an empirical approach using volu-metric fraction ( φ ) equivalence to establish initial chromatographic conditions, enabling predictable substitution of MeOH and ACN with EtOH in the LC mobile phase without altering other chromatographic parameters. The approach was established using adsorption (log-log) retention model across multiple C ₁₈ stationary phases, applicable for lipophilic neutral and basic active pharmaceutical ingredients (APIs). For neutral APIs, φ MeOH ≈ 1.6 φ EtOH and φ ACN ≈ 1.1 φ EtOH, while for basic APIs φ MeOH ≈ 1.5 φ EtOH and φ ACN ≈ 1.0 φ EtOH. The general applicability was confirmed under isocratic conditions by successfully converting conventional RP-HPLC methods for an independent set of APIs into green, EtOH-based alternatives. Notably, this work extends previous research focused on lipophilic acidic to neutral and basic APIs, broadening its utility for the most widely used APIs in the pharmaceutical industry. The proposed framework supports sustainable analytical practices and improves laboratory safety without extensive method redevelopment.