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All Journal Asian Journal of Science, Technology, Engineering, and Art Jurnal Agriyan : Jurnal Agroteknologi Unidayan Mikailalsys Journal of Mathematics and Statistics African Multidisciplinary Journal of Sciences and Artificial Intelligence
Musa, Ali
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Agriculture, Biological Sciences & Forestry Arts Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Economics, Econometrics & Finance Engineering Environmental Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Social Sciences

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Pengaruh Penggunaan Mulsa Sintetik yang Dikombinasikan dengan Pupuk Organik Berbeda Terhadap Pertumbuhan dan Produktivitas Tanaman Batari (Sorghum bicolor L.) Anggia, Anggia; Musa, Ali
JURNAL AGRIYAN: JURNAL AGROTEKNOLOGI UNIDAYAN Vol 10 No 2 (2024): Jurnal Agriyan : Jurnal Agroteknologi Unidayan
Publisher : Program Studi Agroteknologi Fakultas Pertanian Universitas Dayanu Ikhsanuddin

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Penelitian ini bertujuan untuk mengetahui pengaruh penggunaan mulsa sintetik yang dikombinasikan dengan jenis pupuk organik yang berbeda terhadap pertumbuhan dan produksi tanaman batari. Penelitian ini menggunakan Rancangan Acak Kelompok (RAK) yang terdiri dari 9 taraf perlakuan, yang merupakan kombinasi antara penggunaan mulsa (tanpa mulsa, mulsa transparan, dan mulsa hitam perak) dan jenis pupuk organik (kandang sapi, kandang kambing, dan kandang ayam). Hasil penelitian menunjukkan bahwa pemberian mulsa sintetik yang dikombinasikan dengan jenis pupuk organik yang berbeda memberikan pengaruh terhadap pertumbuhan daun, dan jumlah biji batari, dan produktivitas tanaman batari. Perlakuan terbaik diidentifikasi sebagai penggunaan mulsa hitam perak dan pupuk kandang kambing (M2K), yang menghasilkan produktivitas sebesar 6,85 ton per hektar.
Thermal Transport Characteristics of Fractional Maxwell Fluid Model for Blood Flow in a Stenosed Artery Musa, Ali; Kwami, A. M; Madaki, A. G
Asian Journal of Science, Technology, Engineering, and Art Vol 4 No 2 (2026): Asian Journal of Science, Technology, Engineering, and Art
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/ajstea.v4i2.9188

Abstract

This study examines the unsteady heat transfer behavior of fractional Maxwell nanofluid blood flow in a stenosed artery under the combined effects of a magnetic field, thermal radiation, viscous dissipation, and internal heat generation. The study aims to provide a more realistic representation of thermal transport in pathological blood flow by incorporating fractional-order viscoelastic effects. The governing fractional energy equation is solved using a semi-analytical Laplace transform approach, while numerical inversion is carried out through the Concentrated Matrix-Exponential method. The results show excellent agreement with existing studies, confirming the validity of the proposed approach. The findings further reveal that thermal radiation, magnetic field strength, viscous dissipation, fractional order, and relaxation time increase temperature distribution, whereas higher Reynolds and Prandtl numbers reduce it. The study concludes that fractional-order modeling offers a more realistic and effective framework for analyzing thermal transport in stenosed arterial blood flow, thereby contributing to improved understanding of heat transfer behavior in pathological hemodynamic conditions.
Semi-Analytical Study of Pulsatile Nanofluid Flow in Porous Stenosed Arteries Under Magnetic and Thermal Effects Musa, Ali; Yakubu, D.G
Mikailalsys Journal of Mathematics and Statistics Vol 4 No 2 (2026): Mikailalsys Journal of Mathematics and Statistics
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/mjms.v4i2.9187

Abstract

This study presents an extended fractional Maxwell fluid model for pulsatile blood flow through a stenosed artery by incorporating the combined effects of a magnetic field, porous medium, chemical reaction, heat source, and suspended nanoparticles. Blood is modeled as a compressible, viscoelastic, and electrically conducting fluid, and the governing fractional-order coupled nonlinear partial differential equations for momentum, energy, and nanoparticle concentration are formulated in cylindrical coordinates. To capture fluid memory effects, the Caputo fractional derivative is employed, and the resulting system is solved semi-analytically using the Laplace transform method. The inverse Laplace transforms, involving modified Bessel functions, are computed numerically through the Concentrated Matrix-Exponential method implemented in Python to improve stability and accuracy. Validation against existing literature demonstrates excellent agreement. The parametric results show that increasing the Hartmann number, stenosis length, particle mass, and chemical reaction parameter reduces both velocity and nanoparticle concentration, whereas higher heat source, Peclet number, and nanoparticle concentration parameters enhance flow and particle dispersion. The findings further indicate that fractional-order effects strongly influence velocity behavior, with lower fractional orders producing stronger memory effects and smoother gradients. The study concludes that the proposed model improves the prediction of hemodynamic behavior under pathological arterial conditions and offers useful implications for magnetic-assisted therapies and nanoparticle-based drug delivery.
Fractional-Order Modeling and Analysis of Nanoparticle Transport in Magnetohydrodynamic Blood Flow Through a Stenosed Artery Abdullahi, Isah; Musa, Ali
African Multidisciplinary Journal of Sciences and Artificial Intelligence Vol 3 No 1 (2026): African Multidisciplinary Journal of Sciences and Artificial Intelligence
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/amjsai.v3i1.9189

Abstract

This study presents an extended fractional-order mathematical model for blood flow through a stenosed artery under the combined effects of a magnetic field, porous medium, chemical reaction, and nanoparticle diffusion. The study aims to provide a more accurate and physiologically relevant representation of nanoparticle transport in pathological arterial flow conditions. The governing nonlinear equations for momentum and mass transfer were formulated and solved using a semi-analytical approach involving modified Bessel and Mittag–Leffler functions. Model validation through comparison with existing results showed excellent agreement, confirming the reliability of the proposed formulation. The parametric analysis revealed that increasing the chemical reaction parameter and Schmidt number reduced nanoparticle concentration, whereas a higher fractional order enhanced mass transport by weakening memory effects. The study concludes that the fractional-order framework offers an improved description of nanoparticle transport in stenosed arterial blood flow and contributes to the advancement of mathematical modeling for physiologically realistic hemodynamic analysis.
Co-Authors Abdullahi, Isah Anggia, Anggia Kwami, A. M Madaki, A. G Yakubu, D.G