Utilization of an Artificial Neural Network in the Prediction of Heart Disease

Mohd Khalid Awang,Fadzilah Siraj 보안공학연구지원센터 2013 International Journal of Bio-Science and Bio-Techn Vol.5 No.4

Poster Session : PS 0063 ; Cardiology : Association of Framingham Risk Score with Serum Concentration of Urea and Creatinine

( Nazar Mohd Zabadi Mohd Azahar ),( Ambigga Krishnapillai ),( Adibah Hanum Sahari ),( Khalid Yusoff ) 대한내과학회 2014 대한내과학회 추계학술대회 Vol.2014 No.1

Background: Individuals with chronic kidney disease experience higher mortality and adverse cardiovascular event rates. This study will describe the association between serum urea and creatinine level with different groups of Framingham Risk Score. Methods: Respondents who met the inclusion criteria and gave consent to participate will be recruited. This cross sectional study was conducted in Raub, Malaysia between July 2010 and June 2011. Blood pressure was measured twice and the average was recorded. Venous blood samples were taken for Fasting Serum Lipid, Fasting Blood Glucose and for the determination of urea and creatinine concentration. Results: There were 480 respondents recruited in this study with 42.5% of respondents were males (mean age±SD, 59±10.2 years). Urea concentration was found significantly higher in males (4.8±1.84 mmol/L) compared to females (4.2±1.77 mmol/L) (p<0.001). Creatinine concentration was found signifi cantly higher in males (88±31.45 mmol/L) compared to females (63.6±22.38 mmol/L) (p<0.001). Bivariate correlations found that age was significantly correlated with urea (r= 0.255, p<0.001) and creatinine (r=0.233, p<0.001) of the respondents. One way between groups analysis revealed that mean concentration of urea was signifi cantly highest in the high risk group, followed by moderate and low risk group of the Framingham Risk Score (F(2,438)=13.622, p<0.001). Creatinine concentration also was found signifi cantly highest in the high risk group followed by moderate and low risk group (F(2,438)=38.348, p<0.001). Conclusions: Serum urea and creatinine level were signifi cantly highest among the high risk for CVD group. Increasing public health awareness and aggressive lifestyle modifi cation programmes are essential in combating this serious health problem.

Catalytic pyrolysis of waste oil into hydrocarbon fuel utilizing cerium oxide catalyst

Mohamad Arsyad Abdul Khalid,Nurhayati Abdullah,Mohamad Nasir Mohamad Ibrahim,Rahmad Mohd Taib,Salmiah Jamal Mat Rosid,Nurasmat Mohd Shukri,NoorFatimah Yahaya,Wan Nazwanie Binti Wan Abdullah 한국화학공학회 2022 Korean Journal of Chemical Engineering Vol.39 No.6

The depletion of fossil fuels has prompted research into alternative fuels made from regeneration of wastematerials. Pyrolysis is a method of converting waste oil into valuable products, such as char, gas, and fuel. This studypresents the catalytic pyrolysis of waste oil for producing fuel utilizing cerium oxide, CeO2/Al2O3 and zinc oxide, ZnO/Al2O3 catalyst. The catalyst and oil were characterized using several characterization techniques to find the physicochemicalproperties of the catalyst and oil. The optimum condition for catalytic pyrolysis was a reaction temperature at500 oC, with the heating rate at 10 oC/min, utilizing CeO2/Al2O3 catalyst calcined at 700 oC. The catalytic pyrolysis successfullyconverted the waste oil into fuel and the oil product obtained was 93.01 wt% with a high calorific value(54.2MJ/kg). The pyrolysis oil is comprised of aliphatic hydrocarbon (C5-C15 hydrocarbon) that is within the hydrocarbonrange for gasoline and diesel. The oil product was also detected to have a low content of oxygen (3.07 wt%) andsulfur (0.60wt%), indicating its potential to serve as a cleaner, fuel reducing the sulfur dioxide, SOX formation. Theresults reveal that pyrolysis reactors have the ability to convert waste oil into hydrocarbon fuel.

Average Analysis Method in Selecting Haralick’s Texture Features on Color Co-occurrence Matrix for Texture Based Image Retrieval

Abd Rasid Mamat,Mohd Khalid Awang,Norkhairani Abdul Rawi,Mohd. Isa Awang,Mohd Fadzil Abdul Kadir 보안공학연구지원센터 2016 International Journal of Multimedia and Ubiquitous Vol.11 No.2

Many textures based image retrieval researchers use global texture features for representing and retrieval of images from an image database. However, this leads to misrepresentation of local information leading to the inefficient image retrieval performance. This paper presents an approach to overcome the problem. The approach focuses on extracting local Haralick’s texture feature based on a predetermined region using the color co-occurrence matrix method, the selection of the ‘significant’ Haralik’s texture features and evaluation of the performance of the combination of the ‘significant’ features. The proposed method which is an Average Analysis and a well known method, Principal Component Analysis were applied to obtain ‘significant’ features. In order to compare the performance, a series of experiments were carried out for both methods, which is the proposed Average Analysis and the Principal Component Analysis. Experiments were performed on a 1000 selected images from the Coral image database which were divided into ten categories. Based on the experimental results, it is interesting to note that for the combination ‘significant’ features obtained from the proposed Average Analysis showed better retrieval performance compared to the Principal Component Analysis for almost all categories. This finding has an important implication in deciding the correct combination of ‘significant’ features for certain image properties. It has shown that the proposed method is able to produce less computational processing time due to a reduced amount of processing involved. The result is also compared to the previous researches and has shown an increase of an average precision from 8.5% to 26%.

Evaluation on feedstock, technologies, catalyst and reactor for sustainable biodiesel production: A review

Mohd Nurfirdaus Bin Mohiddin,Yie Hua Tan,Yee Xuan Seow,Jibrail Kansedo,N.M. Mubarak,Mohammad Omar Abdullah,Yen San Chan,Mohammad Khalid 한국공업화학회 2021 Journal of Industrial and Engineering Chemistry Vol.98 No.-

The ever-detrimental condition of the environment due to the fossil fuel utilization has catalyzed thedevelopment of biodiesel. Biodiesel is produced mainly via transesterification and the entire processcomprises of several major components; the feedstock, the catalyst, the reaction, and the productseparation or purification. There are various factors affecting the amount and quality of biodieselproduced, such as the type and amount of feedstock and catalyst, alcohol-to-feedstock ratio, and reactiontemperature and time. The performance of biodiesel reactors in providing energy and time efficientbiodiesel production is also among the subject of recent studies. To produce biodiesel commercially andefficiently, it is important to recognize the novel technologies that are promising for biodiesel production. With this in mind, this article presents a review of the recent advancement and classification of thefeedstock, the catalyst for biodiesel production, and the biodiesel production reactor. Furthermore, thisarticle also highlights the development and application of oil extraction techniques, biochar as a biodieselcatalyst, and the magnetic biodiesel catalyst. The biodiesel production reactor and parametersoptimization are also discussed in this article in order to provide a better context on the chemicalreaction.

Cytotoxic Constituents from Boesenbergia pandurata (Roxb.) Schltr

Mohd Aspollah Sukari,Amy Yap Li Ching,Gwendoline Ee Cheng Lian,Mawardi Rahmani,Kaida Khalid 한국생약학회 2007 Natural Product Sciences Vol.13 No.2

flavonoid derivatives, pinostrobin (1), pinocembrin (2), alpinetin (3), cardamonin (4) andboesenbergin A (5) were isolated from the rhizomes of Boesenbergia pandurata. All compounds were elucidatedbased on its spectroscopic data and by the comparison with the previous works. 2D NMR technique was used forthe structure elucidation of boesenbergin A to complement the data reported previously. The extracts and purecompounds were screened for cytotoxic activity against HL-60 cancer cell lines (human promyelocytic leukemia).Cytotoxic screening showed most of the extracts and pure compounds isolated from the rhizomes of Boesenbergiapandurata were active against HL-60 cancer cell line. The chloroform extract and boesenbergin A showed themost potent cytotoxic activity. KeywordsBoesenbergia rotunda, Kaempferia pandurata, Zingiberaceae, Flavonoids, Cytotoxic

Comparison of Magnetic Resonance Imaging Findings between Pathologically Proven Cases of Atypical Tubercular Spine and Tumour Metastasis: A Retrospective Study in 40 Patients

Somit Mittal,Mohd Khalid,Aamir Bin Sabir,Saifullah Khalid 대한척추외과학회 2016 Asian Spine Journal Vol.10 No.4

Study Design: Retrospective study. Purpose: To note the magnetic resonance imaging (MRI) differences between pathologically proven cases of atypical spinal tuberculosis and spinal metastasis in 40 cases. Overview of Literature: Spinal tuberculosis, or Pott’s spine, constitutes less than 1% of all cases of tuberculosis and can be associated with a neurologic deficit. Breast, prostate and lung cancer are responsible for more than 80% of metastatic bone disease cases, and spine is the most common site of bone metastasis. Thus, early diagnosis and prompt management of these pathologies are essential in preventing various complications. Methods: We retrospectively reviewed 40 cases of atypical tuberculosis and metastasis affecting the spine from the year 2012 to 2014, with 20 cases each that were proven by histopathological examination. MR imaging was performed on 1.5 T MR-Scanner (Magnetom Avanto, Siemens) utilizing standard surface coils of spine with contrast injection. Chi-square test was used for determining the statistical significance and p -values were calculated. Results: The most common site of involvement was the thoracic spine, seen in 85% cases of metastasis and 65% cases of Pott’s spine (p =0.144). The mean age of patients with tubercular spine was found to be 40 years and that of metastatic spine was 56 years. The following MR imaging findings showed statistical significance (p <0.05): combined vertebral body and posterior elements involvement, skip lesions, solitary lesion, intra-spinal lesions, concentric collapse, abscess formation and syrinx formation. Conclusions: Tuberculosis should be considered in the differential diagnosis of various spinal lesions including metastasis, fungal spondylodiskitis, sarcoidosis and lymphoma, particularly in endemic countries. Spinal tuberculosis is considered one of the great mimickers of disease as it could present in a variety of typical and atypical patterns, so proper imaging must be performed in order to facilitate appropriate treatment.

Behavior and modeling of RC beams strengthened with NSM-steel technique

Md. Akter Hosen,Khalid Ahmed Al Kaaf,A.B.M. Saiful Islam,Mohd Zamin Jumaat,Zaheer Abbas Kazmi 국제구조공학회 2023 Structural Engineering and Mechanics, An Int'l Jou Vol.88 No.1

The reinforced concrete (RC) structures might need strengthening or upgradation due to adverse environmental conditions, design defects, modification requirements, and to prolong the expected lifespan. The RC beams have been efficiently strengthened using the near surface mounted (NSM) approach over the externally bonded reinforcing (EBR) system. In this study, the performance of RC beam elements strengthened with NSM-steel rebars was investigated using an experimental program and nonlinear finite element modeling (FEM). Nine medium-sized, rectangular cross-section RC beams total in number made up for the experimental evaluation. The beams strengthened with varying percentages of NSM reinforcement, and the number of grooves was assessed in four-point bending experiments up to failure. Based on the experimental evaluation, the load-displacement response, crack features, and failure modes of the strengthened beams were recorded and considered. According to the experimental findings, NSM steel greatly improved the flexural strength (up to about 84%) and stiffness of RC beams. The flexural response of the tested beams was simulated using a 3D non-linear finite element (FE) model. The findings of the experiments and the numerical analysis showed good agreement. The effect of the NSM groove and reinforcement on the structural response was then assessed parametrically.

The efficacy of alum sitz baths followed by topical gall ointment in hemorrhoids—a single-arm clinical trial

Salma Chaush,Nazim Husain,Mohd Khalid,Meenu Doni,Mohd Qudrathullah Khan,Md Majid Hussain 경희대학교 융합한의과학연구소 2023 Oriental Pharmacy and Experimental Medicine Vol.23 No.2

Hemorrhoidal disease is one of the most common gastrointestinal ailments affecting life quality of the patients. Unani classical literature is replete with anti-hemorrhoidal drugs, but scientific evidence is lacking. Therefore, Safūf Zāj (powdered alum) and Marham-e-Māzū (gall ointment) having potent anti-hemorrhoidal actions were selected to evaluate their efficacy in hemorrhoids. This clinical trial was conducted on 30 participants with hemorrhoids, aged > 18 years. All the participants received Safūf Zāj for sitz baths and Marham-e-Māzū to be applied twice daily for 2 weeks. Primary outcome measures were: change in pain intensity, anal itching, and defecate discomfort assessed on 100 mm VAS scale and per-rectal bleeding assessed on 4-point scale. Secondary outcome measures were: change in the size of the external hemorrhoidal mass assessed on 5-point scale, grade of internal hemorrhoid assessed by Goligher classification and quality of life (QoL) assessed on SF-12 questionnaire. The per-protocol analysis was done on 30 participants and statistically significant improvement was seen in primary and secondary outcome measures. Moreover, both the mental and psychological components of QoL were improved. The study inferred that therapeutic approach of Safūf Zāj and Marham-e-Mazu is safe and efficacious in hemorrhoids. Future studies with well-designed RCTs are highly recommended.

The Study on the Accuracy of Classifiers for Water Quality Application

Rosaida Rosly,Mokhairi Makhtar,Mohd Khalid Awang,M Nordin A Rahman,Mustafa Mat Deris 보안공학연구지원센터 2015 International Journal of u- and e- Service, Scienc Vol.8 No.3

Dirty water is the world's biggest health risk. When water from rain roads into rivers, it picks up toxic chemicals, dirt, trash and disease-carrying organisms along the way. Many of our water resources lack basic protections, making them vulnerable to pollution from factory farms and industrial plants. Due to that, a classification model is needed to present the quality of the water environment. In this paper, the data mining techniques are used in this research by applying the classification method for water quality application. Various classifiers were studied in order to find the most accurate classifier for the dataset. This paper presents the comparison of accuracies for the five classifiers (NB, MLP, J48, SMO, and IBk) based on a 10-fold cross validation as a test method with respect to water quality from the datasets of Kinta River, Perak Malaysia. This study also explores which classifier is suitable to classify the dataset. The selected attributes used in this study were: DO Sat, DO Mgl, BOD Mgl, COD Mgl, TS Mgl, DO Index, AN Index, SS Index, Class, and Degree of pollution. The data consisted of 166 instances and obtained from the East Coast Environmental Research Institute (ESERI) of Universiti Sultan Zainal Abidin (UniSZA). The result of MLP and IBk performed better than other classifiers for Kinta River dataset because these classifiers showed the highest accuracy with the same percentage of 91.57%. In the future, we will propose the multiclassifier approach by introducing a fusion at a classification level between these classifiers to get a higher accuracy of classification.