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Akademický článek

A Systematic Review of Chronic Diseases and Their Prevalence Among the Population of Northern Borders Province (NBP) in Saudi Arabia

Autor: Alenzi EO, Fatima W, Amara A, Imran M, Shah SSH, Elbilgahy AA, Fawzy MS, Abu-Negm LM, Mujtaba MA, Jacinto-Caspillo I, Al-Hazimi AM

Publikováno v: Journal of Multidisciplinary Healthcare, Vol Volume 16, Pp 1047-1056 (2023)

Ebtihag O Alenzi,1– 3 Waseem Fatima,3,4 Abdelbasset Amara,3,5 Mohd Imran,3,6 Syed Sajid Hussain Shah,3,7 Amal Ahmed Elbilgahy,3,8,9 Manal S Fawzy,3,10,11 Lobna M Abu-Negm,3,12,13 Md Ali Mujtaba,3,14 Ingrid Jacinto-Caspillo,3,15 Awdah M Al-Hazimi3,1

Externí odkaz: https://doaj.org/article/56a5ef4e5215460a9e626f74ee64e8c0

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Tribological Analysis of Molybdenum Disulfide (MOS2) Additivated in the Castor and Mineral Oil Used in Diesel Engine

Autor: Hassan, MU, Usman, M, Bashir, R, Naeem Shah, A, Ijaz Malik, MA, Mujtaba, MA, Elkhatib, SE, Kalam, MA

The lubrication phenomenon is used to reduce friction and wear between two rubbed surfaces, such as in engine and cutting processes. Different oils such as mineral oil and synthetic lubricant are being used for this purpose. With the passage of time,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______363::47b92835777f7c7d0a25d2e6281419ee
https://hdl.handle.net/10453/164237

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Efficient Production of Wild and Non-Edible Brassica juncea (L.) Czern. Seed Oil into High-Quality Biodiesel via Novel, Green and Recyclable NiSO4 Nano-Catalyst

Autor: Akhtar, MT, Ahmad, M, Asma, M, Munir, M, Zafar, M, Sultana, S, Mujtaba, MA, Mohamed, A, Kalam, MA

Brassica juncea (L.) Czern. seeds contain 30% oil content and 0.43 mg KOH/g FFA content. Ni-TG nano-catalyst was synthesized through a wet impregnation route. The Ni-TG nano-catalyst has a crystalline size of 39.29 nm with a semispherical and ovoid s

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______363::54b1abdf7ec0b19fa2ab7fd6a88ba887
https://hdl.handle.net/10453/168184

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Review of artificial neural networks for gasoline, diesel and homogeneous charge compression ignition engine: Review of ANN for gasoline, diesel and HCCI engine

Autor: Veza, I, Afzal, A, Mujtaba, MA, Tuan Hoang, A, Balasubramanian, D, Sekar, M, Fattah, IMR, Soudagar, MEM, EL-Seesy, AI, Djamari, DW, Hananto, AL, Putra, NR, Tamaldin, N

In automotive applications, artificial neural network (ANN) is now considered as a favorable prediction tool. Since it does not need an understanding of the system or its underlying physics, an ANN model can be beneficial especially when the system i

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______363::59ca18e679c66a271242e0d3afb4fd47
https://hdl.handle.net/10453/156536

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Combined assessment of injection timing and exhaust gas recirculation strategy on the performance, emission and combustion characteristics of algae biodiesel powered diesel engine

Autor: Dhana Raju, V, Nair, JN, Venu, H, Subramani, L, Manzoore, ME, Mujtaba, MA, Khan, TMY, Ismail, KA, Elfasakhany, A, Yusuf, AA, Mohamed, BA, Fattah, IMR

Currently, the vehicle industry is confronted with issues such as the depletion of fossil resources, an increase in crude oil costs, and stricter emission regulatory standards. In this scenario, the use of viable alternatives to diesel as a fuel is n

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______363::79a61975005ab71836b1da774936cca6
https://hdl.handle.net/10453/164916

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Development of empirical correlations for density and viscosity estimation of ternary biodiesel blends

Autor: Mujtaba, MA, Kalam, MA, Masjuki, HH, Razzaq, L, Khan, HM, Soudagar, MEM, Gul, M, Ahmed, W, Raju, VD, Kumar, R, Ong, HC

This study aims to investigate the density and viscosity of ternary biodiesel blends. Fuel density and viscosity play an important role in the fuel injection system, flame propagation, and combustion process in compression ignition engine. The densit

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______363::8c5004d0d94e2a0e8344206715b144ff
https://hdl.handle.net/10453/156273

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RSM and Artificial Neural Networking based production optimization of sustainable Cotton bio-lubricant and evaluation of its lubricity & tribological properties

Autor: Gul, M, Zulkifli, NWM, Kalam, MA, Masjuki, HH, Mujtaba, MA, Yousuf, S, Bashir, MN, Ahmed, W, Yusoff, MNAM, Noor, S, Ahmad, R

Depletion of mineral reservoirs along with health and environmental concerns have led to a greater focus on bio-lubricants. The purpose of this study was to analyze and optimize the reaction conditions of the transesterification process for cotton bi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______363::947c65f4871fc07d6fb3bb71987d63b4
https://hdl.handle.net/10453/156738

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Artificial neural network led optimization of oxyhydrogen hybridized diesel operated engine

Autor: Usman, M, Hussain, H, Riaz, F, Irshad, M, Bashir, R, Shah, MH, Zafar, AA, Bashir, U, Kalam, MA, Mujtaba, MA, Soudagar, MEM

The prevailing massive exploitation of conventional fuels has staked the energy accessibility to future generations. The gloomy peril of inflated demand and depleting fuel reservoirs in the energy sector has supposedly instigated the urgent need for

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______363::ebd427f22ba1bddb26357e935209ec56
https://hdl.handle.net/10453/156621

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