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Primary school students with both giftedness and learning disabilities (SGLD) in inclusive educational settings may not always receive a differentiated curriculum. Differentiation in all-level classrooms is necessary for consistently meeting the needs of SGLD. There is insufficient research on teachers' knowledge of SGLD and differentiation in Saudi Arabia and the Middle East. To fill this knowledge gap, we interviewed 9 primary school teachers in Madinah, Saudi Arabia. The interview data were analysed using content analysis. Our conceptual framework is based on the theories of Howard Gardner, who believe that all students learn in different ways. We also considered Lev Vygotsky's view that students learn best with instructions that meet their individual developmental level and address their zone of proximal development. Our findings suggest that teachers are willing to teach SGLD along with other students in the same classroom. Although they understand that differentiation is important, they were not implementing it for SGLD. Professional training and development related to teaching SGLD can improve the educational outcomes for SGLD. These results can assist teachers and educational personnel to seek optimal methods to identify and assist SGLD in Saudi Arabia and other regions. Finally, we provide recommendations for accommodations, strategies, and a differentiated curriculum for SGLD in primary schools.

Energy storage and utilization-based systems are playing a vital role in power systems. Hydrogen energy based electrical power generation systems are most popular nowadays due to their ability to meet the load demand without any noise, or pollution. Usually, Fuel Cell Stacks (FCSs) are used to produce electricity from hydrogen and oxygen. Utility grid connected FCs can able to meet load demand quickly as well as improve the power quality at local load bus. Since the FC output is DC, an inverter with an efferent control technique is required to interface the FCs into the AC utility grid. The loads connected at the point of common coupling (PCC) of the FCs to the grid are varying randomly and in terms of their nonlinear and reactive power characteristics. These kinds of loads will affect the power system significantly and result in poor power quality at PCC. Proportional-integral (PI) controllers often cannot operate at their maximal efficiency when the system experiences random fluctuations in addition to the nonlinearities caused by the loads and the power electronic switches used to connect the FC to the grid. This is because these controllers have fixed gains.. One of the most effective solutions to get around these problems associated with using the fixed gain PI controller parameters is to use some adaptive controllers, such as Takagi-Sugeno (TS) Fuzzy controllers. Consequently, a novel control strategy for the inverter is suggested in this paper with the aid of TS-Fuzzy controllers in order to improve the power quality at PCC. Therefore, a novel control strategy for the inverter is suggested in this paper with the aid of TS-Fuzzy controllers in order to improve the power quality at PCC.. Hardware – in the – Loop (HIL) is established with the help of OPAL-RT technologies to enhance the significance of the proposed method. In this study, extensive results are provided and analyzed using HIL under different operating conditions to highlight the effectiveness of the proposed algorithm in mitigating power quality problems.

Grid integrated renewable energy sources are greatly benefiting from the use of multilevel inverters, as they inject less total harmonic distortion (THD) and improve the quality of inverter voltage. However, these inverters face challenges due to their high number of switches and complex control. Therefore, it is necessary to explore new configurations with simpler and more effective control methods. In addition, Photovoltaic (PV) systems are being installed in numerous apartments and houses, typically connected to a single phase utility grid. It is crucial to ensure power quality through the use of an inverter connected between the PV system and the utility grid, controlled by the inverter itself. Since PV systems exhibit non-linear behavior, a DC to DC converter is required, along with an appropriate algorithm to maximize power output. However, the inclusion of an additional DC to DC converter can increase the size, cost, and complexity of the system. As a result, single stage grid connected systems have gained popularity for low power applications. Furthermore, the use of a Fuzzy controller has shown superior performance compared to PI controllers, thanks to its ability to adjust gains based on changes in solar irradiance and load. Therefore, this paper introduces a new configuration of a 7 level inverter for single phase single stage grid connected PV systems, incorporating a Fuzzy controller for control. This new configuration only consists of seven switches, making it more streamlined. The paper includes extensive results to validate the effectiveness of the proposed methodology.