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Thermoluminescence response of dysprosium doped strontium tetraborate glasses subjected to electron irradiations

Lim TY, Wagiran H, Hussin R, Hashim S

Appl Radiat Isot, 2015 Aug;102:10-4.
PMID: 25933405 DOI: 10.1016/j.apradiso.2015.04.005

The paper presents the thermoluminescence (TL) response of strontium tetraborate glass subjected to electron irradiations at various Dy2O3 concentrations ranging from 0.00 to 1.00mol%. All glass samples exhibited single broad peak with maximum peak temperature positioned at 170-215°C. The optimum TL response was found at Dy2O3 concentration 0.75mol%. This glass showed good linearity and higher sensitivity for 7MeV compared to 6MeV electrons. Analysis of kinetic parameters showed that the glasses demonstrate second order kinetic.
Delamination-fretting wear failure evaluation at HAp-Ti-6Al-4V interface of uncemented artificial hip implant

Nagentrau M, Mohd Tobi AL, Jamian S, Otsuka Y, Hussin R

J Mech Behav Biomed Mater, 2021 10;122:104657.
PMID: 34246851 DOI: 10.1016/j.jmbbm.2021.104657

Present research aims to develop a finite element computational model to examine delamination-fretting wear behaviour that can suitably mimic actual loading conditions at HAp-Ti-6Al-4V interface of uncemented hip implant femoral stem component. A simple finite element contact configuration model based on fretting fatigue experimental arrangement subjected to different mechanical and tribological properties consist of contact pad (bone), HAp coating and Ti-6Al-4V substrate are developed using adaptive wear modelling approach adopting modified Archard wear equation to be examined under static simulation. The developed finite element model is validated and verified with reported literatures. The findings revealed that significant delamination-fretting wear is recorded at contact edge (leading edge) as a result of substantial contact pressure and contact slip driven by stress singularity effect. The delamination-fretting wear behaviour is promoted under higher delamination length, lower normal loading with higher fatigue loading, increased porous (cancellous) and cortical bone elastic modulus with higher cycle number due to significant relative slip amplitude as the result of reduced interface rigidity. Tensile-compressive condition (R=-1) experiences most significant delamination-fretting wear behaviour (8 times higher) compared to stress ratio R=0.1 and R=10.
Thermoluminescence properties of the Cu-doped lithium potassium borate glass

Aboud H, Wagiran H, Hussin R, Ali H, Alajerami Y, Saeed MA

Appl Radiat Isot, 2014 Aug;90:35-9.
PMID: 24681645 DOI: 10.1016/j.apradiso.2014.01.012

Characteristics of lithium potassium borate glasses with various copper concentrations are reported. The glasses were prepared by the melt quenching method and irradiated with photons to doses in the 0.5-4.0 Gy range. Glowing curves, dose response curves, reproducibility of the response, dose threshold, thermal fading and optical bleaching were studied.
The impact of E-education and innovation on unemployment reduction among graduates: A way forward for higher educational institutes

Mian L, Hussin R, Slaninová MG, Shahzadi Y

Front Psychol, 2022;13:914104.
PMID: 36582326 DOI: 10.3389/fpsyg.2022.914104

Recently, the use of digital skills as a tool to alleviate unemployment concerns of university graduates has gained considerable attention among governments in developing economies. The present study examines the impact of the E-education program (a digital initiative to train university graduates to get self-employed) on the unemployment reduction of young graduates of higher educational institutes (HEIs). We also explore the mediating influence of innovation in the association between E-education and unemployment reduction. The target population of the study was students who have successfully completed the E-education program. The convenient sampling technique was used for data collection from 416 respondents through a structured questionnaire. Collected data were analyzed using different statistical techniques, such as descriptive statistics (reliability analysis, normality analysis, and correlation) and structural equation modeling for measurement of the structural model. The study findings assert that the E-education program has significant effects on the unemployment reduction of graduates. Furthermore, innovation also significantly mediates the association between E-education and reduce unemployment among students. It implies that the HEIs should also roll out E-education programs, which would eventually help reduce unemployment and promote the growth of the E-education industry in the country. Finally, policy prescriptions are discussed on the role of an E-education-driven innovation to curtail unemployment in developing countries.
Fulltext Structural, optical, opto-thermal and thermal properties of ZnS-PVA nanofluids synthesized through a radiolytic approach

Kharazmi A, Faraji N, Mat Hussin R, Saion E, Yunus WM, Behzad K

Beilstein J Nanotechnol, 2015;6:529-36.
PMID: 25821695 DOI: 10.3762/bjnano.6.55

This work describes a fast, clean and low-cost approach to synthesize ZnS-PVA nanofluids consisting of ZnS nanoparticles homogeneously distributed in a PVA solution. The ZnS nanoparticles were formed by the electrostatic force between zinc and sulfur ions induced by gamma irradiation at a dose range from 10 to 50 kGy. Several experimental characterizations were conducted to investigate the physical and chemical properties of the samples. Fourier transform infrared spectroscopy (FTIR) was used to determine the chemical structure and bonding conditions of the final products, transmission electron microscopy (TEM) for determining the shape morphology and average particle size, powder X-ray diffraction (XRD) for confirming the formation and crystalline structure of ZnS nanoparticles, UV-visible spectroscopy for measuring the electronic absorption characteristics, transient hot wire (THW) and photoacoustic measurements for measuring the thermal conductivity and thermal effusivity of the samples, from which, for the first time, the values of specific heat and thermal diffusivity of the samples were then calculated.
Utilizing decision tree machine model to map dental students' preferred learning styles with suitable instructional strategies

Shoaib LA, Safii SH, Idris N, Hussin R, Sazali MAH

BMC Med Educ, 2024 Jan 11;24(1):58.
PMID: 38212703 DOI: 10.1186/s12909-023-05022-5

BACKGROUND: Growing demand for student-centered learning (SCL) has been observed in higher education settings including dentistry. However, application of SCL in dental education is limited. Hence, this study aimed to facilitate SCL application in dentistry utilising a decision tree machine learning (ML) technique to map dental students' preferred learning styles (LS) with suitable instructional strategies (IS) as a promising approach to develop an IS recommender tool for dental students.
METHODS: A total of 255 dental students in Universiti Malaya completed the modified Index of Learning Styles (m-ILS) questionnaire containing 44 items which classified them into their respective LS. The collected data, referred to as dataset, was used in a decision tree supervised learning to automate the mapping of students' learning styles with the most suitable IS. The accuracy of the ML-empowered IS recommender tool was then evaluated.
RESULTS: The application of a decision tree model in the automation process of the mapping between LS (input) and IS (target output) was able to instantly generate the list of suitable instructional strategies for each dental student. The IS recommender tool demonstrated perfect precision and recall for overall model accuracy, suggesting a good sensitivity and specificity in mapping LS with IS.
CONCLUSION: The decision tree ML empowered IS recommender tool was proven to be accurate at matching dental students' learning styles with the relevant instructional strategies. This tool provides a workable path to planning student-centered lessons or modules that potentially will enhance the learning experience of the students.
Correction: Utilizing decision tree machine learning model to map dental students' preferred learning styles with suitable instructional strategies

Shoaib LA, Safii SH, Idris N, Hussin R, Sazali MAH

BMC Med Educ, 2024 Feb 23;24(1):177.
PMID: 38395881 DOI: 10.1186/s12909-024-05162-2
Stroke Riskometer Application (SRA™) influence on lifestyle changes of home bound familial Malaysian stroke caregivers: a randomised controlled trial in a primary care based longer term stroke care facility

Hussin R, Aziz AFA, Ali MF, Monoto EMM, Arvinder-Singh HS, Alabed AAA, et al.

BMC Prim Care, 2023 Sep 08;24(1):181.
PMID: 37684626 DOI: 10.1186/s12875-023-02138-x

BACKGROUND: In countries where access to Specialist stroke care services are limited, primary care physicians often manage stroke patients and the caregiving family members. This study aimed to evaluate the impact of Stroke Riskometer Application (SRA™) on promoting healthier lifestyles among familial stroke caregivers for primary prevention.
METHODS: A parallel, open-label, 2-arm prospective, pilot randomised controlled trial was conducted at a long-term stroke service at a university based primary care clinic. All stroke caregivers aged ≥ 18 years, proficient in English or Malay and smartphone operation were invited. From 147 eligible caregivers, 76 participants were randomised to either SRA™ intervention or conventional care group (CCG) after receiving standard health counselling. The intervention group had additional SRA™ installed on their smartphones, which enabled self-monitoring of modifiable and non-modifiable stroke risk factors. The Stroke Riskometer app (SRATM) and Life's Simple 7 (LS7) questionnaires assessed stroke risk and lifestyle practices. Changes in clinical profile, lifestyle practices and calculated stroke risk were analysed at baseline and 3 months. The trial was registered in the Australia-New Zealand Clinical Trial Registry, ACTRN12618002050235.
RESULTS: The demographic and clinical characteristics of the intervention and control group study participants were comparable. Better improvement in LS7 scores were noted in the SRA™ arm compared to CCG at 3 months: Median difference (95% CI) = 0.88 (1.68-0.08), p = 0.03. However, both groups did not show significant changes in median stroke risk and relative risk scores at 5-, 10-years (Stroke risk 5-years: Median difference (95% CI) = 0.53 (0.15-1.21), p = 0.13, 10-years: Median difference (95% CI) = 0.81 (0.53-2.15), p = 0.23; Relative risk 5-years: Median difference (95% CI) = 0.84 (0.29-1.97), p = 0.14, Relative risk 10-years: Median difference (95% CI) = 0.58 (0.36-1.52), p = 0.23).
CONCLUSION: SRA™ is a useful tool for familial stroke caregivers to make lifestyle changes, although it did not reduce personal or relative stroke risk after 3 months usage.
TRIAL REGISTRATION: No: ACTRN12618002050235 (Registration Date: 21st December 2018).
Fulltext Hybrid Mold: Comparative Study of Rapid and Hard Tooling for Injection Molding Application Using Metal Epoxy Composite (MEC)

Hussin R, Sharif S, Nabiałek M, Zamree Abd Rahim S, Khushairi MTM, Suhaimi MA, et al.

Materials (Basel), 2021 Feb 01;14(3).
PMID: 33535504 DOI: 10.3390/ma14030665

The mold-making industry is currently facing several challenges, including new competitors in the market as well as the increasing demand for a low volume of precision moldings. The purpose of this research is to appraise a new formulation of Metal Epoxy Composite (MEC) materials as a mold insert. The fabrication of mold inserts using MEC provided commercial opportunities and an alternative rapid tooling method for injection molding application. It is hypothesized that the addition of filler particles such as brass and copper powders would be able to further increase mold performance such as compression strength and thermal properties, which are essential in the production of plastic parts for the new product development. This study involved four phases, which are epoxy matrix design, material properties characterization, mold design, and finally the fabrication of the mold insert. Epoxy resins filled with brass (EB) and copper (EC) powders were mixed separately into 10 wt% until 30 wt% of the mass composition ratio. Control factors such as degassing time, curing temperature, and mixing time to increase physical and mechanical properties were optimized using the Response Surface Method (RSM). The study provided optimum parameters for mixing epoxy resin with fillers, where the degassing time was found to be the critical factor with 35.91%, followed by curing temperature with 3.53% and mixing time with 2.08%. The mold inserts were fabricated for EB and EC at 30 wt% based on the optimization outcome from RSM and statistical ANOVA results. It was also revealed that the EC mold insert offers better cycle time compared to EB mold insert material.
Fulltext Health-Seeking Behaviors and Treatments Received for Menopause Symptoms: A Questionnaire Survey among Midlife Women Attending Primary Healthcare Clinics in Malaysia

Manoharan A, Zainal MMHM, Chin BH, Ming KW, Asmuee Z, Salamon N, et al.

J Menopausal Med, 2023 Dec;29(3):119-126.
PMID: 38230595 DOI: 10.6118/jmm.23025

OBJECTIVES: This study aimed to assess menopause symptoms, treatment-seeking behaviors, treatments received, and factors associated with seeking consultation from healthcare providers (HCPs).
METHODS: Using a self-administered Menopause Quick-6 in the Malay language (MQ6[M]) questionnaire, we surveyed 349 women aged 40-60 years attending primary healthcare clinics in four states in Malaysia for their menopause symptoms. Health-seeking behaviors for menopause symptoms were assessed using questions regarding HCPs consulted and treatments prescribed. Binary logistic regression was employed on factors associated with seeking consultation for menopause symptoms.
RESULTS: Using MQ6(M), we observed that 125 (31.3%) women reported at least one menopause symptom, with joint pains (42.8%), menstrual changes (39.5%), and hot flashes (29.3%) being the most frequent symptoms. Furthermore, 60% of the women were prescribed vitamins, and only 13% were administered Hormone Replacement Therapy (HRT). Medical comorbidities, the presence of at least one gynecological condition, menopause status, and MQ6(M) score were associated with seeking consultation with an HCP. For women with medical conditions, the odds of seeking consultation increased by a factor of 1.34 (adjusted odds ratio [AOR], 1.34; 95% confidence interval [CI], 1.11-1.76) for every additional comorbidity. The odds of seeking consultation from an HCP increased by a factor of 1.26 (AOR, 1.26; 95% CI, 1.04-1.47) with a unit increase in MQ6(M) score.
CONCLUSIONS: Most women had menopause symptoms but favored the use of complementary and alternative medicine over HRT. Screening and awareness of menopause treatments need to be improved at primary healthcare clinics.