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    Design and Development of a Self-Sustaining High Temporal Resolution Weather Station with Integrated Forecasting
    (Sami Publishing Company, 2026-01) SULEMAN Kamaldeen Olasunkanmi
    This study presents the design and preliminary validation of a self-sustaining automatic weather station (AWS) that uniquely combines high temporal-resolution data acquisition with embedded short-term forecasting capability. Unlike conventional low-cost AWS units that primarily function as data loggers, the proposed system integrates lightweight neural network and stochastic modeling routines for real-time prediction of atmospheric variables. The compact station incorporates sensors for air temperature, soil temperature, relative humidity, atmospheric pressure, solar radiation, and precipitation, all interfaced with an ATMEGA328microcontroller and a 24-bit analog-to-digital converter for enhanced measurement accuracy. Continuous off-grid operation is achieved through a solar rechargeable 12 V battery, while dual data handling- local microSD logging and GSM transmission at 10-minute intervals with redundant fail-safe storage ensures reliability in remote deployments. Simulated outputs for temperature, humidity, pressure, and solar radiation demonstrate realistic diurnal variability, confirming the system’s temporal sensitivity. The novelty of this work lies in embedding forecasting functionality directly within a low-cost, modular AWS platform, something not achieved in previous studies that either provide simple logging capability or rely on infrastructure-heavy systems for prediction. By integrating machine learning–based short-term forecasting with dual-mode redundancy in a solar-powered, field-deployable unit, the system addresses the unique challenges of data-sparse and resource-constrained regions such as the Niger Delta. This makes it a scalable solution for microclimatic monitoring, agricultural decision support, and localized early warning applications. Future efforts will focus on field deployment, long term performance evaluation, remote web interfacing, and integration with larger meteorological networks.
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    Reliability Analysis of a Distribution Network Using ETAP Software
    (2022) Ebiarede, Perekebina; Unukoro, Patrick
    The reliability of a distribution network is important to both electricity providers as well as consumers. This is even more so when the consumer consist of sensitive loads like hospital equipment as is the case with Delta State University Teaching Hospital (DELSUTH). Making use of data collected between February 2021 to January 2022 the reliability of the Delta State University Teaching Hospital (DELSUTH) 7.5 MVA, 33/11 kVA distribution network has been analyzed, on a sub-station by substation basis using the ETAP 16.0 software. Distribution system data as well as reliability data from DELSUTH has been used to model the network using ETAP 16.0 and to run reliability analysis on the network. Also analytical methods have been used to validate the ETAP 16.0 results for reliability based on interruption frequency and duration. Comparing the results obtained with the IEEE standard 1366 of 2011 it is seen that while most distribution substations of the DELSUTH network appear to meet up the IEEE standard in terms of interruption frequency (SAIFI) they however fall short of the standard in terms of duration of interruption (SAIDI)
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    Performance and CO2 emission of a single cylinder compression ignition engine powered by Khaya senegalensis non-edible seeds fuel blends
    (Heliyon, 2024-03-24) Onojowho, E. E.; Betiku, E.; Asere, A. A.
    This work aimed at investigating blends of Khaya senegalensis biodiesel in a compression ignition engine, attempting to improve engine performance and reduce CO2 emission compared with conventional diesel. Analysis of System (ANSYS) was used to predict in-cylinder behavior of the fuel. ANSYS SpaceClaim generated the geometric model on which 5◦ sector and mesh refinement was on ANSYS Internal Combustion Engine Modeler (ICEM). Computational domain of interest lies within the compression and expansion strokes. Experimental validation followed: 5% biodiesel, 95% diesel (B5); 15% biodiesel, 85% diesel (B15); 25% biodiesel, 75% diesel (B25); pure diesel (D100); pure biodiesel (B100) in volume proportions. B15 has the highest brake mean effective pressure (BMEP) of 4 bar as load increases. An experimental and numerical comparison reveals pressure declination against speed increment. Ignition temperature fluctuated between 799.76 and 806.256 K for D100 and 760.73–790.62 K for B100 within 1800–2800 rpm speed limit prediction. Power and brake thermal efficiency (BTE) had parallel load increment with all blends. CO2 emission on increasing load conditions were 47.01%, 8.07%, 21.72% and 6.06% for B5, B15, B25, and B100 respectively lower than D100. Pressure and temperature contours gave proper combustion predicted behaviors. All blends possess replaceable performance potential for D100 however, B5 offers better reliable potentials.
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    Evaluation of Heavy metals Concentration in Unshelled Periwinkle (Tympanotonus fuscatus) from Rumuolumeni Creek, Rivers State, Niger Delta Nigeria
    (Faculty of Natural and Applied Science Journal of Scientific Innovation, 2025) Nwaonyeche, Napoleon Chinedu; Chukwugozim-Umejuru, Ruth .Uchechukwu.; Agbonavbare, Phoebe. Obiageri
    Abstract The study evaluated concentration of heavy metals in periwinkle (Tympanotonus fuscatus) from Rumuolumeni Creek. Globally pollution is one of the major problems affecting our environment that led to loss of many raw materials and extinction of animals and plant species. A lot of oil drilling activities by oil companies takes place daily at the creek including use of fertilizers by the local farmer, farming within the creek. Considering the importance of periwinkle (Tympanotonus fuscatus) a source of protein that is widely used in the preparation of food in Rivers State. It is important that the concentration of these heavy metals are known to ascertain their edibility. Samples were collected from four different stations with different anthropogenic activities; the stations were Mordant Marine, Erico, Old police post and Eagle Cement. Periwinkles were handpicked into rubber container washed with the river water to remove mud and taken to the laboratory where water were boiled for 20minutes using a ring boiler and soaked the periwinkles inside it before unshelling it with needle. Dry tissue samples of periwinkles weighting 0.5g were digested with 0.45ml of concentrated nitric acid in a fume cupboard and water bath were switch on, to stabilize and attain 1000C using a water bath completely, digested samples were filtered using whatman paper while heavy metals concentration were analyzed using Atomic Absorption Spectrophotometer (AAS), model AA320N. Heavy metals analyzed were (zinc, lead, copper and nickel). The periwinkles at all the stations investigated for heavy metals showed the following results (zinc 41.72-59.97, lead 0.750-1.639, copper 64.23- 115.50, Nickel 0.027-0.083) and all were compared with WHO permissible limits and all exceeded permissible limits of WHO except nickel. Conclusively the periwinkles at Rumuolumeni Creek are not healthy for consumption and the public should be alerted of the health risk in consuming the periwinkle from the creeks.
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    Effects of the fuel blend flow rate on engine combustion performance
    (Frontiers in Energy Research, 2024-05-30) Onojowho, E. E.; Asere, A. A.
    The aim of this study is to investigate the post-injection flow interactive effects of atomized fuel blends from an injector system of known characteristics into a direct injection compression ignition engine combustion chamber and their outcomes. Attempts were made to link the interactive influence of blend mixture quality, effluence and consumption rate of fuel injection properties on frictional loss, heat liberation, combustion, and volumetric efficiency performance outcomes of the engine. This numerical–experimental dimension study began with computational fluid dynamics (CFD) prediction of fuel in-cylinder behavior between a 225° CA (crank angle) (45°ABDC—after bottom dead center) and 360°CA (0° BTDC—before top dead center) compression stroke elapsing into an expansion stroke. A Testo gas analyzer was used to determine the combustion efficiency. The experiments validated the CFD outcomes presented. Willans lines were applied on blends to compare piston frictional losses. A swirl prediction maximum peak of 0.027237 at 336.15 CA for pure diesel blend (D100) at 2,300 rpm and 0.066811 at 341.3 CA for pure biodiesel blend (B100) at 1,800 rpm aided the mixing quality. The instantaneous velocity on the sinusoidal profile and contour around the swirling peak crank angle revealed ignition activity resulting from high mixing quality. The engine possessed high-efficient fuel blends burning strength on a minimum of 54.5% at a higher flow rate. The engine speed and flow rate interaction on the heat liberation rate made a symmetric profile for D100 and B100. Engine energy loss on friction was minimal with D100 compared to B100 and 5% biodiesel to 95% diesel blend (B5).