Výsledky vyhledávání - "Farhad Hasan"

Akademický článek

Lattice Boltzmann Simulation of Fluid Flow and Heat Transfer through Partially Filled Porous Media

Autor: Sheikh Hassan, Taasnim Himika, Md Mamun Molla, Farhad Hasan

Publikováno v: Computational Engineering and Physical Modeling, Vol 2, Iss 4, Pp 38-57 (2019)

The main aim of this work is to observe the fluid flow and heat transfer characteristics through porous media at the REV (Representative Elementary Volume) scale in an enclosed squared cavity using LBM (Lattice Boltzmann Method) instead of traditiona

Externí odkaz: https://doaj.org/article/77e80c3bc0ea4a0a8dd066124d17a208

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Akademický článek

Pituitary as a Source of HCG: Residual Levels After Bilateral Testicular Tumor Removal

Autor: Richard Santen MD, Farhad Hasan MD, MPH, Katie Thoren PhD, Azeez Farooki MD

Publikováno v: Journal of Investigative Medicine High Impact Case Reports, Vol 7 (2019)

Context . Challenging clinical scenario in which elevated β-human chorionic gonadotropin (HCG, subsequently termed HCG) levels suggested occult tumor metastases after removal of bilateral testicular cancers and metastases from them and as well as af

Externí odkaz: https://doaj.org/article/e5920fb5de194e2dbdc4248f1a0ce5f7

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Akademický článek

Multiple-Relaxation-Time Lattice Boltzmann Simulation of Soret and Dufour Effects on the Thermosolutal Natural Convection of a Nanofluid in a U-Shaped Porous Enclosure

Autor: Md. Mahadul Islam, Md Farhad Hasan, Md. Mamun Molla

Publikováno v: Energies, Vol 16, Iss 21, p 7229 (2023)

This article reports an investigation of the Soret and Dufour effects on the double-diffusive natural convection of Al2O3-H2O nanofluids in a U-shaped porous enclosure. Numerical problems were resolved using the multiple-relaxation-time (MRT) lattice

Externí odkaz: https://doaj.org/article/9f8b94afaddd4466865f8500b1385086

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Akademický článek

A Multi-Variable Sentinel-2 Random Forest Machine Learning Model Approach to Predicting Perennial Ryegrass Biomass in Commercial Dairy Farms in Southeast Australia

Autor: Elizabeth M. Morse-McNabb, Md Farhad Hasan, Senani Karunaratne

Publikováno v: Remote Sensing, Vol 15, Iss 11, p 2915 (2023)

One of the most valuable and nutritionally essential agricultural commodities worldwide is milk. The European Union and New Zealand are the second- and third-largest exporting regions of milk products and rely heavily on pasture-based production syst

Externí odkaz: https://doaj.org/article/11c95af4b7de419081c3855b38d4108f

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Akademický článek

LBM-MHD Data-Driven Approach to Predict Rayleigh–Bénard Convective Heat Transfer by Levenberg–Marquardt Algorithm

Autor: Taasnim Ahmed Himika, Md Farhad Hasan, Md. Mamun Molla, Md Amirul Islam Khan

Publikováno v: Axioms, Vol 12, Iss 2, p 199 (2023)

This study aims to consider lattice Boltzmann method (LBM)–magnetohydrodynamics (MHD) data to develop equations to predict the average rate of heat transfer quantitatively. The present approach considers a 2D rectangular cavity with adiabatic side

Externí odkaz: https://doaj.org/article/6ff04308429b4d1b86e5224760e999fa

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Insulin-induced vasoconstriction is prevalent in muscle microvasculature of otherwise healthy persons with type 1 diabetes

Autor: Linda A. Jahn, Lee M. Hartline, Amanda J. Kleiner, William B. Horton, Farhad Hasan, Alvin Wai Kit Tan, Zhenqi Liu, Eugene J. Barrett

Publikováno v: American Journal of Physiology-Endocrinology and Metabolism. 324:E402-E408

Using contrast ultrasound and measures of vascular stiffness, we compared vascular and metabolic responses to insulin in patients with type 1 diabetes with age-matched controls. The patients with type 1 diabetes demonstrated both vascular and metabol

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bc3ecf30d3d5fcdaf0fcca25042853d4
https://doi.org/10.1152/ajpendo.00242.2022

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