Universiti Sains Malaysia

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    55458 research outputs found

    CST330 – Network Programming (Pengaturcaraan Rangkaian)

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    First Semester Examination 2022/2023 Academic Sessio

    Removal of Arsenic from Aqueous Solution by Various Natural Soil-Based Adsorbents

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    Rapid industrialization, mining and agricultural activities lead to the release of contaminants such as arsenic (As) into the water sources that causes adverse effect to living organism. Thus, the application of effective and efficient removal method is crucial. The objective of the study is to apply the adsorption method by utilizing natural soil-based adsorbents including red, clay, sandy and black soil for removal of arsenic from aqueous solution. This study involved the characterisation of heavy metal content and physicochemical characteristic of soil adsorbents, followed by batch adsorption process and the study of adsorption model and mechanism. The results for concentration of arsenic in all soil adsorbents were lower than the permissible limit stated by European United (EU) and mean concentration of iron (Fe) observed to be higher in red soil compared to in other soil samples. For the physicochemical characterisation analysis, red soil has highest number of functional group, content of Fe based minerals, surface area and pore volume with the smallest particle size. From this study, the optimum removal conditions of arsenic from aqueous solution were 2.2 g/50 mL dosage of adsorbents for 60 minutes of contact time at pH of 5.5±0.5 and temperature of 40°C. The adsorption capability and efficiency of soil adsorbent in removing arsenic from aqueous solution were red soil> clay soil> sandy soil> black soil. The kinetic, isotherm and thermodynamic model showed that the mechanism of adsorption of arsenic was a chemisorption, non-spontaneous and endothermic process

    BBT308- Tropical Plant Ecology (Ekologi Tumbuhan Tropika)

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    First Semester Examination 2022/2023 Academic Sessio

    EEM354 – Manufacturing Management And Technology Duration : 2 hours

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    Evaluation Of Impact Of Guideline Adherence, Associated Risk Factors On Mortality And Functional Disability And Direct Costs Of In-Hospital Care In Patients With First-Ever Acute Ischemic Stroke

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    This study aimed to assess the impact of guideline adherence on stroke outcomes, develop and validate prediction models based on the guidelines, and evaluate the direct medical costs of in-hospital care for patients with their first-ever acute ischemic stroke. The study was a multi-centered observational cohort study involving adult patients with their first-ever acute ischemic stroke who received care at participating clinical centers of the Malaysian National Stroke Registry (NSR)

    The Impact Of Corporate Social Responsibility And Corporate Governance On Corporate Reputation: The Interaction Effect Of National Culture From Mena Countries

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    Corporate reputation is a valuable intangible asset that plays an important role in developing a strong corporate competitive advantage. It is a logical outcome of effective corporate governance and corporate social responsibility initiatives, as they can act as signals that affect stakeholders‘ perceptions and expectations regarding the company‘s future behavior. However, stakeholders‘ interests, expectations, and perceptions may be influenced by other factors, such as national culture, which forms their beliefs about the role companies should play in society. Therefore, the objective of this study is to investigate the influence of CSR and corporate governance on corporate reputation, while considering the interaction effect of national culture on the relationship between CSR and corporate reputation. The study examines a sample of 96 financial companies listed on the stock exchanges of four MENA countries: Jordan, Palestine, Qatar, and Kuwait, during the period from 2016 to 2020. To develop corporate reputation index, the study employs Principal Components Analysis (PCA) as a technique for multivariate analysis. Furthermore, the study applies the dynamic panel system Generalized Method of Moments (GMM) to estimate the dynamic corporate reputation models. The findings of the study indicate that CSR has a significant positive impact on corporate reputation, implying that CSR improves corporate reputatio

    Quantitative Accuracy Of Different Single Photon Emission Computed Tomography/Computed Tomography (Spect/Ct) Systems With Phantoms Using Tc-99m And I-131

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    This project aimed to evaluate the performance of three SPECT/CT systems installed at three centres: the Advanced Medical and Dental Institute (AMDIUSM), Hospital Universiti Sains Malaysia (HUSM), and Penang General Hospital (PGH), and to assess levels of error in the quantitation of activity at the centres involved. Furthermore, the aim is to evaluate the stability of the calibration factor of the SPECT/CT system at AMDI over a six-month period

    Optimizing Adaptive Neuro Fuzzy Inference System (Anfis) With Dragonfly Algorithm For Cardiovascular Disease

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    Cardiovascular disease (CVD) remains a great concern in the field of healthcare. It is responsible for the highest mortality rate leading cause of death worldwide. This research utilizes an Adaptive neuro-fuzzy inference system (ANFIS) and addresses the problem of topology and parametric configurations that lead to the prediction error for CVD

    A Case Study Of The Factors Influencing Argumentative Writing Activities Via Whatsapp Among Low Proficiency Esl University Students

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    This case study examines low-proficiency university students’ views of three learning factors that influence ESL argumentative writing skills. This case study focuses on three factors: mobile technology via WhatsApp, peer interaction and teacher’s role to examine the low proficiency students at the university level view these factors as important learning criteria that can develop and support their ESL argumentative writing in answering the research questions

    The Role Of Volatility In Mediating The Impact Of Analyst’ Recommendations On Herding In The Malaysian Stock Market

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    This thesis examines the role of volatility in mediating the relationship between analyst recommendations and herding in the Malaysian stock market from 2015 to 2021. Herding has been found as one of the causes of securities mispricing due to the collective behaviour of pushing prices away from fundamentals. Herding is often associated with financial crises due to information cascades or abandoning private information to follow the crowd. Nonetheless, the role of analyst recommendations in affecting herding can be too good to be true without considering the mediating role of volatility that triggers the investors’ emotions to make investment decisions. Hence, this study explores the existence of herding in the market and examines the impact of analyst recommendations on herding. For methodology, this study adopts the Cross-Sectional Standard Deviation (CSSD) by Chang, Cheng and Khorana (2000) and Cross-Sectional Absolute Deviation (CSAD) by Chiang and Zheng (2010) in the panel data and quantile regressions to detect herding. Based on the Baron and Kenny (1986) mediation model, the results show that herding exists in the Malaysian stock market, and volatility mediates the relationship between analyst recommendations and herding. Realized volatility is the only volatility measurement significant to analyst recommendations and herding because investors rely on the previous day’s stock price as the benchmark to trade. Besides, the dispersion of target price is the only variable of analyst recommendations shown to be significant to stock price volatility and herding. The result of the quantile regression indicates that herding is more pronounced in the upper quantile of CSAD

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