Volume 26 Issue 1 2026

In this era of rapid technological advancement, technology can be utilized to improve teaching and learning processes. Integrating technology in learning, especially in higher education, can empower both instructors and learners to improve the quality of education and also to achieve the anticipated learning objectives. This paper is aimed at investigating the current educational technologies being used in some Nigerian tertiary institutions and its impact on the students’ learning through the following aspects: the adopted educational technologies by the tertiary institutions in teaching and learning processes, the impact of educational technologies on students’ achievement and academic staff teaching effectiveness, and also some challenges facing the adoption of educational technologies in teaching and learning. The result shows that technology has a positive impact on learning processes.

The investigation of the present day study targets to find out Overlapping waves strategy with its dimensions (luxury leadership ,strategic navigation in leadership ,genius leadership, future managing, knowledge leadership) impact on organizational brilliance with its dimensions (entrepreneurship brilliance, innovation brilliance, knowledge brilliance, vision brilliance, thinking brilliance). A quantitative investigation was carried out and a descriptive research design used in this study. Through a non-probability convenience sampling, the choosing of this study’s sample was done. There is a positive effect on overlapping waves strategy by organizational brilliance as revealed by the findings.

In this work, a simple method for producing Perovskite solar cells [PSCs] by recycling automobile batteries is used. Trying to get rid of some structures or materials which are harm to the environment (i.e. recycled car batteries) by using lead [Pb] sheets from those battery. Also, by reusing car batteries we will avoid the disposal of toxic battery elements and provide an alternative technique, readily-available Pb source for fabricating PSCs. Perovskite solar cells [PSCs] were prepared by two-step spin coating solution method grown on the FTO glass substrate. The organo-halide PSCs consists of four layers over FTO glass substrate. Lead iodide (PbI2) and methyl-ammonium iodide (CH3NH3I) used to form the structure of the precursor (CH3NH3PbI3) by the above-mentioned coating method. The photovoltaic performance of PSCs was investigated, together with the stability of PSCs, and the effect of annealing temperature of PRK layer on performance of PSCs. Characterization of PSCs achieved by using X-ray diffraction, SEM, and Spectrophotometer techniques. The effect of annealing on the optical properties of MAPbI3 films were studied by measuring spectral transmittance. The energy band gap value of the MAPbI3 film was found to be 1.60 eV.

The wide-spread Internet of Things (IoT) utilization in almost every scope of our life made it possible to automate daily life tasks with no human intervention. This promising technology has immense potential for making life much easier and open new opportunities for newly developed applications to emerge. However, meeting the diverse Quality of Service (QoS) demands of different applications remains a formidable topic due to diverse traffic patterns, unpredictable network traffic, and resource-limited nature of IoT devices. In this context, application-tailored QoS provisioning mechanisms have been the primary focus of academic research. This paper presents a literature review on QoS techniques developed in academia for IoT applications and investigates current research trends. Background knowledge on IoT, QoS metrics, and critical enabling technologies will be given beforehand, delving into the literature review. According to the comparison presented in this work, the commonly considered QoS metrics are Latency, Reliability, Throughput, and Network Usage. The reviewed studies considered the metrics that fit their provisioning solutions.

The design and performance of terrestrial microwave and millimeter-wave links for 5G and beyond depend strongly on the variability of the effective Earth radius factor, , which compactly represents the combined effects of atmospheric refraction and Earth curvature. Coastal regions, in particular, often deviate substantially from the standard assumption because of strong temperature and humidity gradients that give rise to sub-refraction, super-refraction and ducting. This paper presents an eight-year (2016–2023) climatology and data-driven model of the kfactor at 65 m over Port Elizabeth, South Africa, using hourly meteorological data derived from reanalysis-based profiles. First, full-range statistics, probability density functions, cumulative distributions and regime frequencies are used to characterize the occurrence of standard, subrefractive, super-refractive and ducting conditions. The distribution is found to be strongly heavytailed, with a small fraction of hours exhibiting extreme values that are physically meaningful but numerically ill-conditioned for regression. Based on physical and design considerations, a modelling design range of is adopted, retaining over 88% of the data and corresponding to standard and moderate anomalous refraction. The overall mean refractivity gradient at 65 m is about –57 N-units , corresponding to an annual mean , indicative of predominantly super-refractive conditions. Seasonally, summer (DJF) exhibits the largest mean (≈1.8) due to enhanced low-level moisture and stronger refractivity stratification, while winter (JJA) shows the lowest mean (≈0.4), consistent with drier, more stable boundary-layer conditions and more frequent strong-gradient events. Spring and autumn yield intermediate means (≈1.2–1.5), reflecting transitional thermal and moisture structures. Within this range, detailed diurnal, monthly and seasonal analyses show that Port Elizabeth is predominantly super-refractive, with enhanced anomalies around sunrise and during late autumn to winter. A Random Forest regression model driven by near-surface (10 m) and 65-m thermodynamic predictors achieves , RMSE ≈ 0.21 and MAPE ≈ 6.8% on an independent test set. Feature-importance analysis reveals that vertical gradients of water-vapour pressure, relative humidity and potential temperature between the surface and 65 m are the dominant controls on variability. The resulting model provides a practical tool for locally consistent k-factor estimation in Port Elizabeth, while the rare, extreme ducting regimes are reserved for subsequent classification-based analyses and explicit fade-margin studies at sub-millimeter wave and microwave frequencies.