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    A PREDICTIVE SYSTEM FOR PARKINSON DISEASE USING GENERATIVE ADVERSARIAL NETWORK (GAN)
    (FUW Trends in Science & Technology Journal. Federal University Wukari. Taraba State, 2023-12) Babatunde Ronke Seyi
    Parkinson's disease (PD) symptoms often overlap with those of other neurological disorders, making an early diagnosis difficult or even impossible. To tackle this problem, this study suggests a unique approach that makes use of Generative Adversarial Networks (GANs). Using a variety of datasets, GANs create synthetic medical data that includes PD-related clinical and demographic characteristics. The algorithm undergoes a rigorous training process to improve prediction accuracy. The generated data is assessed by a discriminator, which makes accurate PD predictions possible. Thorough measurements and statistical analysis verify the system's efficacy. The work demonstrates the revolutionary potential of GANs, especially in addressing data limitations for early Parkinson's disease diagnosis. The early PD detection efficacy of the technology is demonstrated by the very accurate predictive model. This study offers a sophisticated and useful method for early identification of Parkinson's disease (PD) by combining modern machine learning. It also promises improved patient outcomes by prompt neurology and healthcare interventions.
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    THE CONCEPT OF NETWORK NEUTRALITY
    (Agora University Press, Agora University of Oradea, Romania, 2024-06-30) Fatoki, Yewande , AKINTOYE OLARIYIKE DAMOLA
    Technology is meant to give people a platform to express themselves. Therefore, network neutrality is a creation for platform where contents , applications, services are to move on the internet without any form of restrictions. It is worrisome to some that internet providers are beginning to give unfair advantage to some data streams thereby making it almost difficult for smaller content creator to grow. Network neutrality is the principle that internet provider and the government should treat internet traffic the same. It connotes putting policy and regulatory measures in place to ensure open access and fair treatment of all internet users. The paper discusses the concept of network neutrality according to Tm Wu. It also considers the advantages and disadvantages of network neutrality. It discusses network neutrality in the United States and also the provisions of the Draft code released by the Nigerian Communication Commission in 2017. Hence, a doctrinal methodology was adopted using primary and secondary sources.
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    Analysis of hydromagnetic Williamson fluid flow over an inclined stretching sheet with Hall current using Galerkin Weighted Residual Method
    (Elsevier Ltd, 2023-06-18) Adebowale, Martins Obalalu; Sulyman, Olakunle Salawu; Olalekan, Adebayo Olayemi; Olusegun, Adebayo Ajala; Kazeem, Issa
    The current theoretical work addresses the Hall effect on three-dimensional non-Newtonian fluid flow past an inclined stretching sheet using a numerical scheme. The model also accounted for the impact of chemical reactions, activation energy, solar radiation, and heat generation or absorption. Therefore, the study is organized to examine and enhance energy efficiency. To achieve the model’s aims, the Galerkin Weighted Residual Method (GWRM) was adopted. The graphical findings revealed that: heat sink has a low thermal efficiency between 4.4% and 5.0% than heat source. Also, the Williamson fluid flow decreases via the magnetic field due to the Lorentz force in the opposite direction of the flow. Furthermore, the current work finds application in wire coating technology.
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    Production of itaconic acid from sweet potato (Ipomoea batata) peel using naturally occurring fungi in solid state fermentation
    (2023) Ajiboye, A. E., Aliyu, M. and Adedayo, M. R.
    This study evaluates the potentials of sweet potato peel as a substrate for itaconic acid production in solid state fermentation using naturally occurring fungi. Sweet potato peel was analyzed for proximate composition using standard methods. Fungi were obtained from the peel by solid state fermentation and identified using microscopic and molecular methods. Fermentation for itaconic acid production was done using isolated fungus and Aspergillus niger (ATCC 16888) was used as control. Optimization of fermentation parameters was carried out using standard procedures. Assay for itaconic acid and total titratable acidity (TTA) were analyzed using standard methods. Reducing sugar was obtained using DNSA method. Proximate composition of the peel reveals carbohydrate content to be 79%, protein, 5% and ash, 4%. Fungus isolated was identified as Aspergillus flavus L-2482/2012. Highest itaconic acid production by A. flavus was 7.74±0.00 mg/ml on day 5 at 30 g substrate concentration. Using 2 ml of 1 x 107 spores/ml, A. flavus and A. niger produced 6.97±0.13 and 6.67±0.09 mg/ml respectively. Optimum temperature for itaconic acid production was 30°C for A. niger and A. flavus. TTA ranged between 0.04±0.00 to 0.21±0.01 and 0.05±0.00 to 0.26±0.00 mg/ml for A. niger and A. flavus respectively. The highest reducing sugar, 0.51±0.00 mg/ml was obtained at substrate concentration 40 mg/ml on day 5 by A. flavus while A. niger had reducing sugar value of 0.37±0.00 mg/ml. In conclusion, A. flavus L-2482/2012. has great potentials for itaconic acid production using sweet potato peel in solid state fermentation under optimized conditions.