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- PublicationThe Impact Of Digital Financial Inclusion On Agricultural Green Total Factor Productivity In China: The Mediating Role Of Rural Finance(2025-09)This study examines the trends of Digital Financial Inclusion (DFI), Rural Finance (RF), and Agricultural Green Total Factor Productivity (AGTFP) in China from 2011 to 2022, and investigates their interrelationships. Based on the Peking University Digital Financial Inclusion Index of China (PKU_DFIIC), supplemented with indicators such as unemployment rate, internet penetration, industrial structure, government intervention, and industrial upgrading, a DFI index was constructed using the entropy method. Results indicate that, unlike the sharp growth reflected in PKU_DFIIC, DFI increased moderately between 2011–2014, fluctuated slightly from 2015–2017, and expanded rapidly from 2018–2022, particularly after 2020 with accelerated application promotion.
- PublicationThe Factors Of Turnover Intention Among Doctors In Henan Province, China: The Mediating Roles Of Job Satisfaction And Job Burnout(2025-09)This study investigates the factors influencing turnover intention among doctors in China, focusing on the relationships between workplace violence, supervisor-subordinate guanxi, career adaptability, recruitment and selection, training and development, performance appraisal, compensation, emotional intelligence, job satisfaction, job burnout, and turnover intention. It also examined the mediating roles of job satisfaction and burnout in these relationships.
- PublicationExploring Translation Errors, Strategies And Perceptions In Chinese- To-English Translations Of Csis In Hong Loumeng(2025-09)This dissertation investigates the translation of Culture-Specific Items from Chinese into English in Hong Lou Meng, utilizing a triangulation method that combines text analysis with feedback from translators and readers. Framed by Peter Newmark’s cultural classifications, Vinay and Darbelnet’s translation strategies, House’s Revised Translation Quality Assessment Model, and Justa Holz-Mänttäri’s Translatorial Action Theory, this study analyzes two English translations of Hong Lou Meng. It identifies and classifies 200 CSIs through Newmark’s framework, revealing how cultural elements are handled in translation.
- PublicationStructural Characterization And Functional Properties Of Salt-Gelatinized Starch And Its Potential Application As Packaging Materials(2025-09)The widespread use of petroleum-based packaging materials has resulted in adverse environmental impacts, through widespread plastic waste, microplastic pollution, and high energy consumption. This has prompted the search for alternative biodegradable packaging materials. Starch has emerged as a promising renewable resource for packaging films. However, conventional gelatinization processes requiring temperatures of ≥ 80 °C can compromise thermosensitive additives (e.g., antioxidants and antimicrobials) and often yield films with high water sensitivity and weak mechanical properties. This study develops rice starch-based films through salt-induced gelatinization at room temperature (25 °C) and evaluates their suitability for food packaging applications.
- PublicationPreparation And Characterization Of Bioaerogel-Based Filters For Particulate Matter Removal(2025-09)This study focuses on the development of bioaerogel-based filters for the removal of particulate matter (PM) from the air, addressing the challenges posed by both normal and humid conditions. Current air filtration methods often rely on synthetic materials that are non-biodegradable, expensive, and prone to performance loss under high humidity. The primary objective was to synthesize bioaerogels from different blends of Gelatin, Chitosan, and nanocellulose, and to enhance their filtration performance through surface modification.
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- PublicationOptimization Of Optical And Radar Satellite Data In Google Earth Engine For Monitoring Oil Palm Changes In Tropical River Basins(2023-09)Accurate mapping of oil palm plantations is crucial for planning agricultural best management practices. Google Earth Engine (GEE), a cloud-based computing platform, allowing users to process multi-source satellite images more quickly and effectively. In fact, it is difficult to distinguish oil palm from other crops using only optical satellites due to the issue of cloud cover in tropical regions. Unfortunately, there is only little scientific understanding about how various satellite images within GEE can be helpful for mapping oil palm plantations. Hence, this study aims to determine the optimal combination of open-source optical and radar satellite data for mapping oil palm plantations in tropical river basins using the Muda River Basin (MRB) and the Johor River Basin (JRB) as test sites. First, the two machine learning classifiers available in GEE, random forest (RF) and support vector machine (SVM), were compared to identify which is the most effective classifier for mapping oil palm plantations. Then, eight different data combinations have been constructed from the satellite images and indices such as C-band Sentinel-1, L-band PALSAR2, Landsat8, Sentinel-2, topographic, Normalized Difference Vegetation Index (NDVI), Normalized Difference Water Index (NDWI), etc. Lastly, the optimal data combination was employed to project future oil palm distribution using the CA-Markov approach. The findings demonstrate that RF outperformed SVM in mapping oil palm plantations in both river basins.
- PublicationArtificial neural network for gas-oil flow pattern recognition using capacitance tomography data(2009-04-01)The technique to recognize the oil and gas flow pattern in a pipe is needed in the oil and gas industry to monitoring the condition of the oil and gas pipe system. Any mistake or malfunction may lead to serious loss and endanger the workers and environments. Generally there are lots of flow pattern such as Empty, Full, Stratified, Bubble, Core and Annular. The Electrical Capacitance Tomography (ECT) technique is used to take the cross sectional data of the pipe. The Artificial Neural Networks (ANNs) is used to recognize the flow patterns. This project uses the Multilayer Perceptron (MLP) as the ANNs model. The MLP is trained, validated, and tested with the ECT data. The ECT data is divided into three groups, training, validation, and testing. The Matlab software is used to build the MLP architecture. The learning algorithms used for this project is the Levenberg-Marquardt algorithms and the Quasi-Newton algorithms. Result show that trained MLP is able to give a percentage of accuracy of 99.102% in oil and gas flow pattern recognition. This shows that the MLP is suitable to be used in the oil and gas flow pattern recognition.
- PublicationAssociation of caesarean and vaginal delivery on breastfeeding practices among postpartum women at Hospital Universiti Sains Malaysia (HUSM).(2015)Throughout literature, several studies have found caesarean delivery had negative impacts on breastfeeding. However, the results of previous studies on investigating the association of delivery methods on initiation and duration of breastfeeding were still inconsistent. This cross-sectional study was conducted with the objective to study the association of caesarean and vaginal delivery on breastfeeding practice among postpartum women who delivered their babies at Hospital Universiti Sains Malaysia (HUSM). Timing of breastfeeding initiation and maternal intention towards breastfeeding continuation after discharged were assessed as the breastfeeding outcomes in this study. A total of 240 postpartum women (aged 18 to 45 years) participated in this study. Data was collected during an interview section by using an interviewadministered questionnaire in 2 Topaz postnatal ward between March and April 2015. The questionnaire was used to collect the data on maternal socio-demographics, types of delivery method, parity, breastfeeding practices and their reproductive health status. The association between the independent and dependent variable was analaysed by using Pearson chi-square test and Fisher exact test. Majority of the study participants was Malay (98.8%) followed by Chinese (0.8%) and Indian (0.4%). 34.6% of women undergone caesarean birth whereas 65.4% of women undergone vaginal birth. All women in this study initiated breastfeeding during hospital stay. 66.3% of them initiated breastfeeding within 30 minutes after birth whereas 33.8% of women initiated breastfeeding after 30 minutes of birth. Majority of women (99.2%) had intention to continue their breastfeeding after discharged. 94.5% of them had intention to breastfeed their child until six months to two years. Mode of delivery was found significantly associated with timing of breastfeeding initiation (p<0.001). Mothers with caesarean delivery (CD) (78.3%) were more likely to initiate their breastfeeding after 30 minutes of birth than women with vaginal delivery (VD) (10.2%). However, no association was found between mode of delivery and maternal intention to continue breastfeeding after discharged (p - 0.546). The findings revealed that caesarean section was a determinant factor for early initiation of breastfeeding among this study population. Supports and assistances are needed from hospital staffs or health professional in improving breastfeeding initiation among mothers with caesarean birth.
- PublicationPengukuran, analisis hamrmonik dan pembetulan faktor kuasa(2006-05-01)Recently, harmonic study in power system received added significance. This is because devices which generate harmonics current are increasing in power system. Harmonics sources are such as power electronic devices and electric arcing devices. The harmonics generated will affect power quality and power system stability. In this project, study of harmonics were carried out at Welding Workshop in School of Mechanical Engineering, University Science Malaysia. There are electric arc welding machines which are the main harmonic sources in the studied location. This study was carried out to improve the power quality of power system and ensure the stability of the system in the plant. The study include harmonic field measurement, harmonic analysis, and filter design work to reduce harmonic distortion. The filter designed is not only used to reduce harmonics current, but also used to improve power factor of the system. In this report, theories of harmonics and power factor was discussed and analytical technique used to correct power factor was presented. It is expected that the improvement of harmonic distortion after installation of proposed filter is from 19.38% to 12.41%, whereas the displacement power factor will achieve 0.90. The technique used in this project can be a reference for improving power quality in other similar plant.
- PublicationAnalisis kitaran melalui kerajang airfoil naca (lapisan sempadan) dan kawasan pusaran(2000-01-01)Eksperimen ini adalah berdasarkan kepada tajuk; “Analisis kitaran melalui kerajang airfoil NACA(lapisan sempadan) dan kawasan pusaran”. Kecenderungan adalah untuk mencari perkembangan lapisan sempadan pada kerajang airfoil NACA dan melihat perbezaannya diantara satu sama lain. Untuk melihat perbezaan tersebut, empat kerajang airfoil NACA, iaitu NACA 0015, 4412, 23012 dan 653218 diuji. Perkembangan lapisan sempadan diambil pada beberapa titik di permukaan airfoil tersebut. Di kawasan pusaran, cuma NACA 23012 dipilih. Minat kita adalah untuk mencari profil ataupun bentuk kitaran di kawasan tersebut. Ujian dilakukan daripada bucu belakang NACA 23012 ke suatu jarak darinya.