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  1. Hassan M, Sulaiman MH, Lian CJ
    Acta Trop, 2013 May;126(2):142-5.
    PMID: 23416121 DOI: 10.1016/j.actatropica.2013.02.001
    A parasitological survey of 16 pangolins, confiscated from the Department of Wildlife and Nature Park Peninsular Malaysia (DWNP) at Kelantan and Pulau Pinang, Malaysia was conducted in 2011. Amblyomma javanense (family: Ixodidae) was the only ectoparasite found on the pangolins. The prevalence, intensity and life cycle of A. javanense were observed together with the respective pangolins' age and sex. It was found that 68.8% of the pangolins were infected, and significant difference, χ(2)(1, N=16)=4.02, p=0.05 were observed with males higher in infestation (88.9%) as compared to the females (42.9%). However, the mean intensity was higher on females (72) as compared to males (31.6). In addition, significant difference, χ(2) (2, N=16)=6.73, p=0.05 was recorded between adults and juveniles with juveniles found to be 100% infected as compared to adult (63.6%). Nevertheless, the mean intensity was slightly higher on adults (47) than juveniles (35). Adult ticks were found in higher numbers as compared to the nymph and larvae with number of male ticks higher (236) as compared to the females (53). Similarly, a high significant difference χ(2)(2, N=469)=203.47, p=0.05 was recorded in the composition of the tick's life stages with a higher number of adult ticks (61.6%) followed by nymph (30.3%) and larvae (8.1%). As such, the results of this study revealed a picture of the A. javanense life cycle which is related to the age and gender of the Malayan Pangolin.
  2. Sulaiman MH, Aizuddin AN, Hod R, Puteh SEW
    Med J Malaysia, 2021 03;76(2):145-150.
    PMID: 33742620
    INTRODUCTION: Influenza outbreak causes high economic burden to Malaysia and other countries in South East Asia. Scientists have found a relatively new way to detect influenza outbreaks early thus reducing the burden of disease by early intervention. This new technology is a social network information system which uses Facebook or Twitter data to detect potential influenza cases. Such system is good to be developed by the Malaysian government as it can detect influenza outbreaks three weeks earlier than the normal pathway. However, to implement this we require good evidence that the development will be accepted by potential users.

    OBJECTIVE: This study was looking at the acceptance towards using social network information system among public health workers.

    MATERIALS AND METHOD: This study was done on 205 Malaysian One Health University Network (MyOHUN) members through email and physical survey.

    RESULTS: Results show that 62.4% public health workers accepted the use technology. The acceptance was shown to be associated with performance expectancy (p<0.05). However, unlike the very famous Unified Theory of Acceptance and Use of Technology (UTAUT) model, the acceptance of social network information system was not associated with effort expectancy, social factors, facilitating conditions and socio-demographic factors. Therefore, it is suggested that social network information system be developed by the authorities in Malaysia, and be developed in a way that the system could strongly increase performance in detection of outbreak earlier than the current normal pathways. As such the system to be accepted and used, it must be sensitive, specific and be able to detect influenza outbreak early CONCLUSION: The development of social network information system is feasible as it is highly accepted and it's potential to improve early detection of influenza outbreak.

  3. Humada AM, Hojabri M, Sulaiman MH, Hamada HM, Ahmed MN
    PLoS One, 2016;11(4):e0152766.
    PMID: 27035575 DOI: 10.1371/journal.pone.0152766
    A grid-connected photovoltaic (PV) system operates under fluctuated weather condition has been modeled and characterized based on specific test bed. A mathematical model of a small-scale PV system has been developed mainly for residential usage, and the potential results have been simulated. The proposed PV model based on three PV parameters, which are the photocurrent, IL, the reverse diode saturation current, Io, the ideality factor of diode, n. Accuracy of the proposed model and its parameters evaluated based on different benchmarks. The results showed that the proposed model fitting the experimental results with high accuracy compare to the other models, as well as the I-V characteristic curve. The results of this study can be considered valuable in terms of the installation of a grid-connected PV system in fluctuated climatic conditions.
  4. Al-Amin M, Abdul-Rani AM, Danish M, Rubaiee S, Mahfouz AB, Thompson HM, et al.
    Materials (Basel), 2021 Jun 28;14(13).
    PMID: 34203154 DOI: 10.3390/ma14133597
    Together, 316L steel, magnesium-alloy, Ni-Ti, titanium-alloy, and cobalt-alloy are commonly employed biomaterials for biomedical applications due to their excellent mechanical characteristics and resistance to corrosion, even though at times they can be incompatible with the body. This is attributed to their poor biofunction, whereby they tend to release contaminants from their attenuated surfaces. Coating of the surface is therefore required to mitigate the release of contaminants. The coating of biomaterials can be achieved through either physical or chemical deposition techniques. However, a newly developed manufacturing process, known as powder mixed-electro discharge machining (PM-EDM), is enabling these biomaterials to be concurrently machined and coated. Thermoelectrical processes allow the migration and removal of the materials from the machined surface caused by melting and chemical reactions during the machining. Hydroxyapatite powder (HAp), yielding Ca, P, and O, is widely used to form biocompatible coatings. The HAp added-EDM process has been reported to significantly improve the coating properties, corrosion, and wear resistance, and biofunctions of biomaterials. This article extensively explores the current development of bio-coatings and the wear and corrosion characteristics of biomaterials through the HAp mixed-EDM process, including the importance of these for biomaterial performance. This review presents a comparative analysis of machined surface properties using the existing deposition methods and the EDM technique employing HAp. The dominance of the process factors over the performance is discussed thoroughly. This study also discusses challenges and areas for future research.
  5. Sukindar NA, Md Yasir ASH, Azhar MD, Md Azhar MA, Abd Halim NFH, Sulaiman MH, et al.
    Heliyon, 2024 Feb 29;10(4):e25508.
    PMID: 38384568 DOI: 10.1016/j.heliyon.2024.e25508
    Fused deposition modeling (FDM) is currently used in several fields, such as architecture, manufacturing, and medical applications. FDM was initially developed to produce and create prototypes, but the expense appears excessive for producing final products. Nevertheless, in this day and age, engineers have developed a low-cost 3D printer. One of the major issues with low-cost 3D printers is the low dimensional accuracy and high tolerances of the printed products. Herein, different printing parameters, i.e., layer thickness, printing speed, and raster angle, need to be investigated to enhance the surface roughness of the parts produced using FDM. Thus, the present study focuses on investigating the performance of the surface finish produced by FDM by manipulating different parameters such as layer thickness, printing speed, and raster angle. Taguchi's method, based on the L9 array for experimental design, was employed to elucidate the response variables. The sample model was developed following ISO standards, utilizing polylactic acid (PLA)-aluminum as the filament material. The analysis of variance results indicated that the layer thickness and raster angle significantly affect the surface roughness of the printed parts, with statistical P-values of 0.016 and 0.039, respectively. This enables an easy selection of the optimal printing parameters to achieve the desired surface roughness. The dimensional accuracy of the fabricated part was also evaluated. Thirteen dimensions of the part features were analyzed, and the results showed that the FDM machine exhibited good accuracy for most of the shapes, with a deviation below 5%.
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