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Tropospheric Scintillation Predictions of the Nigerian Climate; A Case Study of Mowe, Ifo Local Government, South West Nigeria.
(2023-05-22) Sanyaolu Modupe Eunice
Signal deterioration will result from tropospheric scintillation in microwave communication connections with small fade margins. In tropical areas, very few scintillation research has been carried out. Twelve months (Jan 2014 – Dec 2014) of data obtained from the Tropospheric Data Acquisition Network (TRODAN) weather station in Mowe, Nigeria, with a frequency of 13 GHz and an elevation angle of 60.7° were used to study tropospheric scintillation. The data are processed, and the predictions of a few scintillations prediction models that are already in use were compared. Scintillation was seen to be at its peak in April and August with 0.95 dB and 0.88 dB respectively. The strongest intensities show skewness, which is also typical in the absence of rain. According to the analysis, the ITU-R model predicts the scintillation intensity for a fade at 0.01 % of the time to 1 percentage of time, with the lowest error rate. As Mowe is located in the tropical region of Nigeria, it is established in this study that ITU-R and Kasarawa have the best predictions for the climatic condition there. The observation has additional relevance because it is supported by the ITU-2003 R recommendation for the radio communication sector, which calls for a 99.99% availability percentage for quality of service. Accordingly, it will be anticipated that an additional fade margin of roughly 0.8 dB must be made to account for amplitude scintillation in the area. The data from this study will aid in determining the region's required antenna performance and size for satellite communication links to reduce fade.
Comparative Study of Dye‑Sensitized Solar Cells with Natural Dye Extracts of Vernonia amygdalina, Goeppertia macrosepala Leaves, and Cnestis ferruginea Fruit as Photosensitizers
(Journal of Electronic Materials, 2025-06-30) Sanyaolu Modupe Eunice
As photosensitizers for harvesting solar energy, dyes play a major role in the operation and photochemical performance of dye-sensitized solar cells (DSSCs). DSSCs are usually fabricated using non-biodegradable, synthetic dyes, which often contain toxic heavy metals. However, replacing synthetic dyes with cheap and biodegradable natural dyes can produce cost effective and eco-friendly DSSCs. In this study, we investigate the suitability of natural dye extracts of Vernonia amygdalina, Goeppertia macrosepala leaves and Cnestis ferruginea fruit as photosensitizers in DSSCs. The influence of solvents on the performance of these three natural dye extracts is also examined. The natural dyes are extracted using acetone and ethanol solvents and characterized by Fourier-transform infrared (FTIR), UV–Vis, and photoluminescence (PL) spectroscopy. The FTIR spectrometry results for all the dye samples demonstrate the presence of three functional groups: the hydroxyl, amine, and carbonyl groups, a strong indication of good adsorption by the semiconductor metal oxides in DSSCs. The UV-Vis and PL spectra show that the natural dyes of V. amygdalina, G. macrosepala, and C. ferruginea extracted with acetone and ethanol exhibit stable and strong optical absorption in the visible region of the electromagnetic spectrum. Thus, the three natural dyes examined are potential candidates for photosensitizers in DSSCs. The DSSC fabricated with V. amygdalina dye extracted using acetone delivers the highest solar conversion efficiency with performance parameters Jsc, Voc, FF, and η as 330.51 µA/cm2, 522 mV, 0.7, and 0.12%, respectively. A higher solar efficiency is recorded by chlorophyll-based dyes of V. amygdalina and G. macrosepala leaves than anthocyanin-based dye of C. ferruginea fruit. Acetone-extracted dye samples outperform samples using ethanol as the solvent for dye extraction from V. amygdalina and G. macrosepala. The three natural dyes displayed a lower electrical performance than the synthetic ruthenium-based dye (η = 2.84%) due to their inherent challenges: narrow absorption spectra attributed to their less-optimized molecular structures, poor photostability under prolonged illumination, slow electron injection rates, and high recombination losses.
LES STRATÉGIES NARRATIVES DE LA VIOLENCE DANS MURAMBI, LE LIVRE DES OSSEMENTS : FOCALISATION, TEMPORALITÉ ET VOIX NARRATIVE AU SERVICE DU TÉMOIGNAGE
(Le Bronze, 2025-11) Oyetunde Julius Oluwafemi
Cet article propose une lecture narratologique du roman, Murambi, le livre des ossements de Boubacar Boris Diop, fondé sur les évènements du génocide rwandais de 1994. À travers une structure polyphonique et fragmentée, l’auteur donne voix aux victimes, aux témoins et aux bourreaux, dans une tentative de représentation de l’horreur et de reconstitution mémorielle. L’étude s’articule autour de la problématique suivante : comment l’auteur met-il en œuvre les outils narratologiques pour représenter la violence extrême sans verser dans une esthétisation déplacée de la souffrance ? L’objectif principal de cet article est d’analyser les stratégies narratives que Diop mobilise pour articuler la violence, la mémoire et la narration, en se fondant exclusivement sur les outils conceptuels de la narratologie selon Gérard Genette. Plus précisément, il s’agit d’examiner les types de voix narratives, d’analyser les modes de focalisation et d’étudier le temps de la narration dans leur fonction esthétique et mémorielle. L’analyse montre que la prédominance de la focalisation zéro et du narrateur héterodiégétique contribue à une mise à distance apparente, tout en renforçant l’objectivation des faits. Le choix d’une narration souvent simultanée accentue l’effet de réalisme et d’immersion dans l’instant tragique. Les résultats révèlent que la maitrise des paramètres narratifs permet à Diop de construire une architecture littéraire de la mémoire, où la fiction devient un vecteur de transmission de l’indicible. L’article recommande enfin la valorisation pédagogique de cette oeuvre pour enrichir la réflexion sur la narrativité du trauma.
PREVALENCE AND PREDICTORS OF NEONATAL SEPSIS AMONG NEWBORNS ADMITTED TO THE NEONATAL UNIT OF STATE SPECIALIST HOSPITAL, ASUBIARO, OSOGBO, OSUN STATE
(Global Journal of Clinical Medicine and Medical Research [GJCMMR], 2026-03-16) Ajisola Aderonke Hannah
Neonatal sepsis remains a formidable global health challenge: estimates indicate that in 2022 there were approximately 2.3 million newborn deaths worldwide, with infections, predominantly sepsis, responsible for roughly 20% of these deaths. Despite medical advancements the condition remains a major public health problem, especially in low- and middle-income countries. This study therefore examined the prevalence and predictors of neonatal sepsis among newborns admitted to the neonatal unit of state specialist hospital Asubiaro, Osogbo, Osun State. This study is a seven-month retrospective study conducted to examine the prevalence and predictors of neonatal sepsis. Data was extracted from the medical records of patients and hospital database using PROFORMA and analyzed using descriptive statistics of frequency and percentages while inferential statistics of logical regression was used to establish relationship between the variables. The finding showed that prevalence of neonatal sepsis among newborns was high (100%). Low birth weight (53.1%) and preterm delivery (50.0%) were the strongest predictors of mortality. The study concluded that neonatal sepsis remains highly prevalent. Therefore, government should strengthen maternal and neonatal healthcare services.
Digital Financial Innovation, Financial Literacy and Decision Making among Semi-Urban Residents of Osun State, Nigeria.
(International Journal of Innovative Research in Accounting and Sustainability, 2025) Rebecca Adesewa ARINOLA
The study examines the interplay between digital financial innovation and financial literacy in decision making. The study also investigates the role of fintech and digital financial tools on financial literacy and financial decision making. Digital innovation, financial literacy and decision making are crucial elements of personal financing. The study focused on residents of semi urban and urban areas in Osun State, Nigeria. A sample size of 385 was used, with primary data collected through a self administered questionnaire with a 5 point Likert scale. Structural equation model (SEM) was employed in this study. The result demonstrates that digital financial innovation strongly influences personal finances and financial decision processes, while financial literacy directly affects digital financial instrument usage, and fintech produces substantial effects on these two variables. The research recommends promoting financial literacy because it needs to match the pace of financial innovation that substantially affects personal finances and financial choices in Nigeria.