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  1. Gopalakrishnan S, Ganeshkumar P, Prakash MVS, Christopher, Amalraj V
    Med J Malaysia, 2012 Aug;67(4):442-4.
    PMID: 23082463
    BACKGROUND: Overweight and obesity are defined as abnormal or excessive fat accumulation that may impair health. Body mass index is a simple index of weight-for-height that is commonly used in classifying overweight and obesity in adult populations and individuals.
    OBJECTIVES: A study was conducted to screen the medical students of AIMST University for overweight/obesity using Body Mass Index(BMI) and to determine the prevalence among them.
    MATERIALS AND METHODS: This is an institution based cross sectional study was conducted among 290 medical students using a pre-tested questionnaire and measured their Body Mass Index (BMI). Data obtained was analyzed statistically by calculating proportions.
    RESULTS: Out of 290 students who participated in the study, 45.2% were males. In the study, 14.8% were found to be overweight (BMI 23-24.9 kg/m2); 13.7% of males and 15.7% of females. Pre-obese students (BMI 25-29kg/m2) accounted for 15.9% of the total (males 18.3% and females 13.8%). 5.2% were found to be obese (BMI > 30 kg/m2): males 9.2% and females 1.9%. Also 14.8% were found to be underweight (males 12.2% and females 17.0%). The study group consisted of 63.8% Indian, 32.4% Chinese and 3.8% Malay students.
    CONCLUSIONS: The study reveals that the prevalence of overweight and obesity among the medical students of AIMST University is on the high, which is comparable to the findings of earlier studies conducted in Malaysia, reinforcing the need to encourage healthy lifestyle, healthy food habits and a physically active daily routine, among the adolescents and youth of this country.
  2. Redouane F, Jamshed W, Suriya Uma Devi S, Prakash M, Nisar KS, Nasir NAAM, et al.
    Sci Rep, 2021 Nov 25;11(1):22905.
    PMID: 34824297 DOI: 10.1038/s41598-021-02216-z
    Fluidity and thermal transport across the triangular aperture with lower lateral inlet and apply placed at the vertical outlet of the chamber which filled with efficient TiO2-SiO2/water hybrid nanofluid under the parametrical influence. Several parameters are tested like the numbers of Hartmann ([Formula: see text]), Richardson ([Formula: see text]), and Reynolds ([Formula: see text]) were critiqued through streamlines, isotherms, and Nusselt number ([Formula: see text]). Numerical model has to be developed and solved through the Galerkin finite element method (GFEM) by discretized with 13,569 triangular elements optimized through grid-independent analysis. The Hartmann number ([Formula: see text]), exerts minimal impact over the flow and thermal aspects while the other parameters significantly manipulate the physical nature of the flowing and thermal aspects behaviors.
  3. Redouane F, Jamshed W, Devi SSU, Prakash M, Nasir NAAM, Hammouch Z, et al.
    Sci Rep, 2022 Feb 10;12(1):2302.
    PMID: 35145142 DOI: 10.1038/s41598-022-06134-6
    MHD Natural convection, which is one of the principal types of convective heat transfer in numerous research of heat exchangers and geothermal energy systems, as well as nanofluids and hybrid nanofluids. This work focuses on the investigation of Natural convective heat transfer evaluation inside a porous triangular cavity filled with silver-magnesium oxide/water hybrid nanofluid [H2O/Ag-MgO]hnf under a consistent magnetic field. The laminar and incompressible nanofluid flow is taken to account while Darcy-Forchheimer model takes account of the advection inertia effect in the porous sheet. Controlled equations of the work have been approached nondimensional and resolved by Galerkin finite element technique. The numerical analyses were carried out by varying the Darcy, Hartmann, and Rayleigh numbers, porosity, and characteristics of solid volume fraction and flow fields. Further, the findings are reported in streamlines, isotherms and Nusselt numbers. For this work, the parametric impact may be categorized into two groups. One of them has an effect on the structural factors such as triangular form and scale on the physical characteristics of the important outputs such as fluidity and thermal transfer rates. The significant findings are the parameters like Rayleigh and slightly supported by Hartmann along with Darcy number, minimally assists by solid-particle size and rotating factor as clockwise assists the cooler flow at the center and anticlockwise direction assists the warmer flow. Clear raise in heat transporting rate can be obtained for increasing solid-particle size.
  4. Jamshed W, Prakash M, Devi SSU, Ibrahim RW, Shahzad F, Nisar KS, et al.
    Sci Rep, 2021 Dec 15;11(1):24032.
    PMID: 34912014 DOI: 10.1038/s41598-021-03392-8
    A novel hybrid nanofluid was explored in order to find an efficient heat-transmitting fluid to replace standard fluids and revolutionary nanofluids. By using tangent hyperbolic hybrid combination nanoliquid with non-Newtonian ethylene glycol (EG) as a basis fluid and a copper (Cu) and titanium dioxide (TiO2) mixture, this work aims to investigate the viscoelastic elements of the thermal transferring process. Flow and thermal facts, such as a slippery extended surface with magnetohydrodynamic (MHD), suction/injection, form factor, Joule heating, and thermal radiation effects, including changing thermal conductivity, were also integrated. The Keller-Box method was used to perform collective numerical computations of parametric analysis using governing equivalences. In the form of graphs and tables, the results of TiO2-Cu/EG hybrid nanofluid were compared to those of standard Cu/EG nanofluid in important critical physical circumstances. The entropy generation study was used to examine energy balance and usefulness for important physically impacting parameters. Detailed scrutiny on entropy development get assisted with Weissenberg number, magnetic parameter, fractional volumes, injection parameter, thermal radiation, variable thermal conductivity, Biot number, shape variation parameter, Reynolds and Brinkman number. Whereas the entropy gets resisted for slip and suction parameter. In this case, spotted entropy buildup with important parametric ranges could aid future optimization.
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