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Akademický článek
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Autor:
Mohamed Abdelmonem, Norazalina Saad, Huey Fang Teh, Ahmad Kamil Mohd Jaaffar, Mohamed Ahmed Ibrahim, Maha A. Alhadad, Che Azurahanim Che Abdullah
Publikováno v:
Nano Biomedicine and Engineering, Vol 16, Iss 3, Pp 386-401 (2024)
Neurodegenerative diseases (NDDs) encompass numerous disorders affecting the nervous system’s structure and functions, primarily caused by protein aggregation, oxidative stress, and inflammation. These factors make a significant contribution to the
Externí odkaz:
https://doaj.org/article/95c24c2509134108b0bcdddea4ec57bf
Autor:
Wai Peng Wong, Pui San Saw, Suriyan Jomthanachai, Leong Seng Wang, Huey Fang Ong, Chee Peng Lim
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-23 (2023)
Abstract One major issue in pharmaceutical supply chain management is the supply shortage, and determining the root causes of medicine shortages necessitates an in-depth investigation. The concept of risk management is proposed in this study to ident
Externí odkaz:
https://doaj.org/article/a0489705dcbf4a4f8b1a6a8ebe9d3c89
Autor:
Eddie Khay Ming Tan, Soon Huat Tiong, Dalina Adan, Mohd Zairey bin Md. Zain, Syahril Anuar Md Rejab, Mohd. Shafril Baharudin, Hao Chih Loy, Eng Soon Tok, Wee Lee Tok, David Ross Appleton, Huey Fang Teh
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract During the milling process of palm oil, the degree of palm fruit ripeness is a critical factor that affects the quality and quantity of the oil. As the palm fruit matures, its chlorophyll level decreases, and since chlorophyll in oil has und
Externí odkaz:
https://doaj.org/article/1adee44283d24fc4bbfaa8a7464fa32c
Publikováno v:
Statistics and Computing. 14:119-130
A finite mixture model using the multivariate t distribution has been shown as a robust extension of normal mixtures. In this paper, we present a Bayesian approach for inference about parameters of t-mixture models. The specifications of prior distri
Autor:
Kulandai Arockia Rajesh Packiam, Chien Wei Ooi, Fuyi Li, Shutao Mei, Beng Ti Tey, Huey Fang Ong, Jiangning Song, Ramakrishnan Nagasundara Ramanan
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 20, Iss , Pp 2909-2920 (2022)
Optimization of the fermentation process for recombinant protein production (RPP) is often resource-intensive. Machine learning (ML) approaches are helpful in minimizing the experimentations and find vast applications in RPP. However, these ML-based
Externí odkaz:
https://doaj.org/article/43374e0aa3424b8cbbf35621d6416e33
Autor:
Dharshini Perumal, Emmellie Laura Albert, Norazalina Saad, Taufiq Yap Yun Hin, Ruzniza Mohd Zawawi, Huey Fang Teh, Che Azurahanim Che Abdullah
Publikováno v:
Crystals, Vol 12, Iss 11, p 1539 (2022)
The reduction of graphene oxide (rGO) utilizing green methods such as plants has attracted much attention due to its productivity, eco—friendly features, and cost effectiveness. In the present study, the reflux method was employed to synthesize Cli
Externí odkaz:
https://doaj.org/article/825e098e9f474bc6a8c0ec9b8a163093
Publikováno v:
Statistics & Computing; Apr2004, Vol. 14 Issue 2, p119-130, 12p
Autor:
Yick Ching Wong, Huey Fang Teh, Katharina Mebus, Tony Eng Keong Ooi, Qi Bin Kwong, Ka Loo Koo, Chuang Kee Ong, Sean Mayes, Fook Tim Chew, David R. Appleton, Harikrishna Kulaveerasingam
Publikováno v:
BMC Genomics, Vol 18, Iss 1, Pp 1-13 (2017)
Abstract Background The oil yield trait of oil palm is expected to involve multiple genes, environmental influences and interactions. Many of the underlying mechanisms that contribute to oil yield are still poorly understood. In this study, we used a
Externí odkaz:
https://doaj.org/article/5b8214ca32f84d5ebcbd3392db2a8f89