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  • Open Access


    Prevalence and Factors Associated with Smartphone Addiction among Adolescents–A Nationwide Study in Malaysia

    Kai Wei Lee1, Siew Mooi Ching2,*, Norsiah Ali3, Chor Yau Ooi4, Shahnul Kamal Hj Sidek5, Azlin Amat6, Yusnita Yatim7, Zaiton Yahaya8, Nabihah Shamsuddin9, Idora Ibrahim10, Fauzia Abdul Majid11, Fazlin Suhana Othman12, Nik Suhaila Zakaria13, Artini Abidin14, Nor Hazlin Talib15, Dhashani Sivaratnam16

    International Journal of Mental Health Promotion, Vol.25, No.2, pp. 237-247, 2023, DOI:10.32604/ijmhp.2023.013407

    Abstract Smartphone ownership among adolescents is getting common in this decade especially in Malaysia; Adolescent are strongly devoted to their smartphone and this may lead to smartphone addiction. Studies have reported that smartphone addiction has become an emerging social and health problem especially among the youth in many countries however there is lack of study among adolescents in Malaysia. This study aimed to examine the prevalence and factors associated with smartphone addiction among adolescents in Malaysia. This was a cross-sectional study involving adolescents from 15 primary care clinics throughout the country. Respondents were assessed on their smartphone activities using the Malaysian… More >

  • Open Access


    Bending, Compression and Bonding Performance of Cross-Laminated Timber (CLT) Made from Malaysian Fast-Growing Timbers

    Norshariza Mohamad Bhkari1,2,*, Lum Wei Chen1, Anis Azmi2, Muhammad Shaiful Nordin2, Norman Wong Shew Yam3, Zakiah Ahmad2, Lee Seng Hua4

    Journal of Renewable Materials, Vol.10, No.11, pp. 2851-2869, 2022, DOI:10.32604/jrm.2022.022326

    Abstract This study investigated the bending, compression as well as the bonding performance of CLT panels made from fast-growing timber species, i.e., Laran (Neolamarckia cadamba) and Batai (Paraserianthes falcataria). The variables studied were timber species (Laran and Batai), layers of lamination (3-layer and 5-layer), loading direction in bending (in-plane and out-of-plane), loading direction in compression (x-, y-, and z-axis) and different treatment conditions for bonding performance test. The desired outputs of this study were bending and compression properties (strength and stiffness) as well as bonding performance (block shear strength, wood failure percentage and delamination value). The bending and compression test were… More >

  • Open Access


    Strength Performance and Microstructure Characteristic of Naturally-Bonded Fiberboard Composite from Malaysian Bamboo (Bambusa vulgaris)

    Shahril Anuar Bahari1, Mohd Nazarudin Zakaria1, Syaiful Osman1, Falah Abu1, Mohamad Jani Saad2, Reza Hosseinpourpia3,*

    Journal of Renewable Materials, Vol.10, No.10, pp. 2581-2591, 2022, DOI:10.32604/jrm.2022.021313

    Abstract This study investigated the mechanical properties and microstructural characteristics of fiberboard composite produced by naturally-bonded Malaysian bamboo fiber (Bambusa vulgaris). The components that obtained through soda pulping of bamboo culms such as fiber and black liquor, were used for the preparation of high-density fibreboard composite at two target densities of 850 and 950 kg/m3. The bamboo fiberboard composite (BFC) were then produced at 200°C and two pressing parameters of 125 and 175 s/mm. The mechanical properties, e.g., flexural strength and internal bonding (IB) of BFC samples were evaluated according to BS EN 310: 1993 and BS EN 319: 1993, respectively. It was… More > Graphic Abstract

    Strength Performance and Microstructure Characteristic of Naturally-Bonded Fiberboard Composite from Malaysian Bamboo (<i>Bambusa vulgaris</i>)

  • Open Access


    A Preliminary Assessment of Load Consumption and Solar Power Potential at Kota Belud, Sabah

    Maryon Eliza Matius1, Mohd Azlan Ismail2, Adriana Erica Amaludin1, Yan Yan Farm2, Mohd Adzrie Radzali1, Ahmad Fazlizan3, Wan Khairul Muzammil2,*

    Energy Engineering, Vol.119, No.4, pp. 1361-1377, 2022, DOI:10.32604/ee.2022.019497

    Abstract This paper presents a detailed preliminary assessment of load consumption and solar power potential at the Eco-Tourism Centre of Liogu Ku Silou-Silou (EPLISSI), Kota Belud, Sabah. This initial investigation assessed the feasibility of an off-grid solar PV system at EPLISSI with a suitable solar panel system for project installation and commissioning purposes. Due to the absence of an electrical grid and power supply, no pre-existing electrical appliances could be found in EPLISSI. Hence, an excel-based software, the ESCoBox, was used to produce the load profiles. The input data for this software came from a list of required electrical appliances (LED… More > Graphic Abstract

    A Preliminary Assessment of Load Consumption and Solar Power Potential at Kota Belud, Sabah

  • Open Access


    Evaluating the Efficiency of CBAM-Resnet Using Malaysian Sign Language

    Rehman Ullah Khan1,*, Woei Sheng Wong1, Insaf Ullah2, Fahad Algarni3, Muhammad Inam Ul Haq4, Mohamad Hardyman bin Barawi1, Muhammad Asghar Khan2

    CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 2755-2772, 2022, DOI:10.32604/cmc.2022.022471

    Abstract The deaf-mutes population is constantly feeling helpless when others do not understand them and vice versa. To fill this gap, this study implements a CNN-based neural network, Convolutional Based Attention Module (CBAM), to recognise Malaysian Sign Language (MSL) in videos recognition. This study has created 2071 videos for 19 dynamic signs. Two different experiments were conducted for dynamic signs, using CBAM-3DResNet implementing ‘Within Blocks’ and ‘Before Classifier’ methods. Various metrics such as the accuracy, loss, precision, recall, F1-score, confusion matrix, and training time were recorded to evaluate the models’ efficiency. Results showed that CBAM-ResNet models had good performances in videos… More >

  • Open Access


    Cardiovascular Disease Prediction Among the Malaysian Cohort Participants Using Electrocardiogram

    Mohd Zubir Suboh1,2, Nazrul Anuar Nayan1,3,*, Noraidatulakma Abdullah4,5, Nurul Ain Mhd Yusof4, Mariatul Akma Hamid4, Azwa Shawani Kamalul Arinfin4, Syakila Mohd Abd Daud4, Mohd Arman Kamaruddin4, Rosmina Jaafar1, Rahman Jamal4

    CMC-Computers, Materials & Continua, Vol.71, No.1, pp. 1111-1132, 2022, DOI:10.32604/cmc.2022.022123

    Abstract A comprehensive study was conducted to differentiate cardiovascular disease (CVD) subjects from non-CVD subjects using short recording electrocardiogram (ECG) of 244 Malaysian adults in The Malaysian Cohort project. An automated peak detection algorithm to detect nine fiducial points of electrocardiogram (ECG) was developed. Forty-eight features were extracted in both time and frequency domains, including statistical features obtained from heart rate variability and Poincare plot analysis. These include five new features derived from spectrum counts of five different frequency ranges. Feature selection was then made based on p-value and correlation matrix. Selected features were used as input for five classifiers of… More >

  • Open Access


    Cervical cancer situation in Malaysia: A systematic literature review


    BIOCELL, Vol.46, No.2, pp. 367-381, 2022, DOI:10.32604/biocell.2022.016814

    Abstract Cervix cancer is one of Malaysia’s most significant cancers for women (around 12.9%, with an age-standardised incidence rate of 19.7 per 100,000). It was higher than other Asian, West, and even worldwide nations. The National Strategic Plan for Cancer Control Program 2016–2020 (Health Ministry) was presented to minimize cancer and mortality. The high incidence of cervical cancer in Malaysia is mainly due to women’s insufficient knowledge about its prevention and importance. Compared with traditional literature reviews, the systemic analysis provides many advantages. A clearer review process, a more prominent field of study, and essential priorities that can manage research bias… More >

  • Open Access


    Flood Forecasting of Malaysia Kelantan River using Support Vector Regression Technique

    Amrul Faruq1, Aminaton Marto2, Shahrum Shah Abdullah3,*

    Computer Systems Science and Engineering, Vol.39, No.3, pp. 297-306, 2021, DOI:10.32604/csse.2021.017468

    Abstract The rainstorm is believed to contribute flood disasters in upstream catchments, resulting in further consequences in downstream area due to rise of river water levels. Forecasting for flood water level has been challenging, presenting complex task due to its nonlinearities and dependencies. This study proposes a support vector machine regression model, regarded as a powerful machine learning-based technique to forecast flood water levels in downstream area for different lead times. As a case study, Kelantan River in Malaysia has been selected to validate the proposed model. Four water level stations in river basin upstream were identified as input variables. A… More >

  • Open Access


    The Essence of Accommodating Older Adults into the Social Care Sector in Malaysia

    Halimatus Sakdiah Minhat1,2,*, Hazwan Mat Din2, Raja Nurzatul Efah Raja Adnan2

    International Journal of Mental Health Promotion, Vol.23, No.3, pp. 409-416, 2021, DOI:10.32604/IJMHP.2021.015526

    Abstract Population ageing puts pressure on the workforce and increase the demands for aged workforce. The demographic shifts have made the issue of healthier workers, especially those of advanced age and physically related job scopes, a fundamental aspect to employing older workers. Hence, this study aimed to explore the best practices to employ older adults into the social care sector. The social care sector was chosen in view of the nature of job and declining demand among younger workers. A qualitative study was conducted involving series of focus group discussions (FGD) with social care workers of long-term care centers in the… More >

  • Open Access


    Long-Term Electricity Demand Forecasting for Malaysia Using Artificial Neural Networks in the Presence of Input and Model Uncertainties

    Vin Cent Tai1,*, Yong Chai Tan1, Nor Faiza Abd Rahman1, Hui Xin Che2, Chee Ming Chia2, Lip Huat Saw3, Mohd Fozi Ali4

    Energy Engineering, Vol.118, No.3, pp. 715-725, 2021, DOI:10.32604/EE.2021.014865

    Abstract Electricity demand is also known as load in electric power system. This article presents a Long-Term Load Forecasting (LTLF) approach for Malaysia. An Artificial Neural Network (ANN) of 5-layer Multi-Layered Perceptron (MLP) structure has been designed and tested for this purpose. Uncertainties of input variables and ANN model were introduced to obtain the prediction for years 2022 to 2030. Pearson correlation was used to examine the input variables for model construction. The analysis indicates that Primary Energy Supply (PES), population, Gross Domestic Product (GDP) and temperature are strongly correlated. The forecast results by the proposed method (henceforth referred to as… More >

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