Sultan Zainal Abidin University

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    8142 research outputs found

    Improving Accuracy of Imbalanced Clinical Data Classification Using Synthetic Minority Over-Sampling Technique

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    Imbalanced datasets typically occur in many real applications. Resampling is one of the effective solutions due to producing a balanced class distribution. Synthetic Minority Over-sampling technique (SMOTE), an over-sampling technique is used in this study for dealing the imbalanced dataset by add the number of instances of a minority class. This technique is used to decrease the imbalance percentage of the dataset by generating new synthetic samples. Thus, a balanced training dataset is produced to replace the class imbalanced . The balanced datasets were obtained and trained with machine learning algorithms to diagnose the disease’s class. Through the experiment findings on the real-world datasets, oral cancer dataset and erythemato-squamous diseases dataset from the UCI machine learning datasets, an over-sampling method showed better results in clinical disease classification

    The Utilization of Military Lifetime Health Record

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    With the growth of IT, a comprehensive electronic health record system for the Malaysian armed forces is a must. However, because of the low success rate in the use of electronic health record systems, it is important to identify user acceptance factors for the systems. Thus, a research model that is grounded in TAM and UTAUT is developed to identify user adoption factors for Malaysian Armed Forces Hospital and Clinics to ensure the significant success of Military Lifetime Health Record (MLHR) implementations. A self-administered survey technique is employed and useful responses collected from users (military clinicians and medical personnel). The research model was then tested using the partial least square (PLS) technique. The results of this study confirm that behavioral intention is significant to actual usage of MLHR system by military clinician and medical personnel. Except of effort expectancy, all four () factors namely performance expectancy, social influence, facilitating condition and computer self-efficacy positively affect the military clinicians and medical personnel's intention to use the MLHR system. This study confirms that performance expectancy, social influence, facilitating condition and computer self-efficacy drive users' behavioral intention toward MLHR system usage. Having a clear understanding of what and how these determinants influence military clinician and medical personnel' behavioral intention is important as it can help make MLHR systems the main source of module when it comes to the next level HIS project for MAF

    Dynamical analysis of carbon concentration model due to the interaction with biomass production based on predator-prey

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    The high energy demands and the development of technology produce transcendent concentration of atmospheric Carbon dioxide gas emission. Many studies have been conducted to develop a model of the carbon dioxide cycle to understand its characters. Here, we proposed the model of the interaction between Carbon consumption due to the biomass production. The model is currently developed to characterize the dynamical behaviour of the climate vector of the gas to predict its stability. We simulated the Rungge-Kutta method to analyze the bifurcation and define the Jacobian matrix to see the eigen value. The result gave the idea that the gas concentration can be controlled by manipulating its uncertain parameters and could be a provisional prediction for several years ahead

    Find the maximum clique by graph coloring using heuristic greedy

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    Graph coloring problem is to find the minimal number of colors to color vertex of a graph in such a way that every two vertex linked by an edge have different colors. A vertex coloring algorithm has been presented. As a result of applying vertex coloring algorithm no two vertex are to be allocated in same color if they are adjacent in graph. In this paper, Graph coloring used for to find maximum clique in a graph with heuristic greed

    The Role of Transient Receptor Potential Cation Channel subfamily V member 4 (TRPV4) in Colorectal Cancer

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    The transient receptor potential cation channel subfamily V member 4 (TRPV4) is a non-selective calcium (Ca2+)-permeable channel which is expressed in many types of tissues. In addition to its roles in various physiological processes such as osmoregulation and mechanosensation, growing evidence suggests that TRPV4 is also involved in several aspects of tumourigenesis. Despite the reported roles of TRPV4 in several types of cancers, the role of TRPV4 in colorectal cancer has not been extensively assessed. This study aimed at exploring the potential role of TRPV4 in colorectal cancer cells. Quantitative real-time PCR analysis showed that TRPV4 mRNA levels were lower in HT-29 colorectal cancer cells than normal colon CCD-18Co cells. In contrast, TRPV4 mRNA was undetected in HCT-116 colorectal cancer cells. Pharmacological activation of TRPV4 using GSK1016790A promoted the proliferation of HT-29 cells while TRPV4 inhibition using RN 1734 decreased their proliferation, as assessed by the MTT cell proliferation assay. Cotreatment with RN 1734 attenuated GSK1016790A-induced increases in proliferation in HT-29 cells. Cell cycle analysis by flow cytometry revealed that pharmacological modulation of TRPV4 had no pronounced effect on the cell cycle progression in HT-29 cells. Analysis from the AnnexinV/PI double-staining assay demonstrated that both activation and inhibition of TRPV4 channel could promote the death of HT-29 cells, despite at different degrees of cell death induction. Altogether, these findings suggest divergent TRPV4 mRNA expression levels between human colorectal cancer cells and normal colon cells. Pharmacological modulation of TRPV4 appears to alter the proliferation of HT-29 cells and induces cell death in this cell line. TRPV4 may represent a promising drug target for the treatment of colorectal cancer

    الحركة العلمية في تهامة اليمن وأثرها في العلوم الشرعية

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    تربز إشكالية البحث قي معرفة احلياة العلمية يف منطقة هتامة اليمن وأثرها على تطور العلوم الشرعية فيها حيث أهنا مل تنل حظها من البحث والعناية ما انلته أمثاهلا من احلواضر اإلسلمية، حيث هتدف هذه الدراسة على معرفة مظاهر النشاط للحركة العلمية هبا وأبرز من وفد إليها من العلماء واملسامهة الفعالة يف االبداع والتأليف يف شىت العلوم واملعارف ومعرفة املراكز العلمية هبا واملنهج املتبع هو املنهج االستقرائي واملنهج الوصفي وحتليل مظاهر النشاط العلمي ومعرفة أسباب الركود يف التأليف واالبداع ويف النهاية توصل الباحث إىل وجود حركة علمية زاخرة ابملصنفات النادرة واليت حيتاج إليها طلب الشريعة اإلسلمية بشىت جماالهتا يف علوم القران والتفسري والفقه واحلدي

    Rukun negara as constitution’s preamble: an overview

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    Rukun Negara is the Malaysian declaration of national philosophy where it was drafted between 1970 and 1971 by National Consultative Council and had been launched on 31 August 1970 by the Yang diPertuan Agong at that time. The aims are to realise Malaysia’s ambitions towards enhancing unity among the people; safeguarding the spirit of democracy; establishing a just society; maintaining a liberal approach in addressing diversity; and creating a progressive and technologically advanced society. In fulfilling the above ideals, the Rukun Negara underlines five core principles: Belief in God; Loyalty to the King and Country; Supremacy of the Constitution; Rule of Law; and Good Behaviour and Morality. The issue to be discussed in this paper is whether the inclusion of five core principles Rukun Negara as Federal Constitution’s preamble will strengthen and given greater effect to Rukun Negara as it will have the status of law and consequently undermine the constitutional supremacy. The methodology used in this paper was qualitative and content legal analysis method. It is clear that Federal Constitution is already complete and comprehensive. Though there are some vagueness left in the Constitution itself, it still is open for interpretations without the need of including Rukun Negara as a preambl

    The Value of Discovering the Efficient Surface Anatomy Teaching Method

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    Introduction: Surface anatomy is the study of the external features of the human body meaning not only it is used to identify structures beneath the skin but it enables the students to perform onical examinations, intenentional procedures and interprete radiological images. Since Mere is scarce evidence on the best teaching method for surface anatomy. the am of this study was to justly the need in seeking a pnme approach in teaching surface anatomy. Materials and Methods. A literature search on the importance of leammg surface anatomy was performed using Gocgle Scholar and PuhMed databaSes Results and Discussion: The declining surface anatomy knowledge in modern curriculum has resulted in procedural at surgical avers. Successful teaming of surface anatomy requres a balance between comprehension and Insuakzation Learners believed Mat mriovative approaches such as body paintmg, living anatomy model, virtual human dissector and digital X-ray are instrumental in boosting their surface anatomy skills. A study done showed an increase in undergraduate students' understanding of anatomical structures after introduction to ultrasound training as it promoted students procedural skill and their confidence level on performing clirucal procedures. The techrique of drawing anatomical structures that requires extra focus of concentration. lateral thinking and knowledge transfer skills could also result in higher understanding of the subject learned Indeed, integration of surface anatomy IA a practical course has resulted in improved knowledge, understandmg and confidence level in clinical practice. Conclusion: Surface anatomy is still relevant to produce sale doctors. Hence, roovation in surface anatomy teaching is pertinent for effective learning and contribute to competent clinical students and doctor

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