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Liver Tumor Decision Support System on Human Magnetic Resonance Images:A Comparative Study

Computer Systems Science & Engineering 2023年第8期46卷 1653-1671页

作者： Hiam Alquran Yazan Al-Issa Mohammed Alslatie Isam Abu-Qasmieh Amin Alqudah Wan Azani Mustafa yasmin mohd yacob Department of Biomedical Systems and Informatics Engineering Yarmouk University 556Irbid21163Jordan Department of Biomedical Engineering Jordan University of Science and TechnologyIrbid22110Jordan Department of Computer Engineering Yarmouk University 556Irbid21163Jordan The of Biomedical Technology King Hussein Medical CenterRoyal Jordanian Medical ServiceAmman11855Jordan Faculty of Electrical Engineering&Technology Campus Pauh PutraUniversiti Malaysia PerlisArau02600PerlisMalaysia Faculty of Electronic Engineering&Technology Campus Pauh PutraUniversiti Malaysia PerlisArau02600PerlisMalaysia Advanced Computing Centre of Excellence(CoE)Universiti Malaysia PerlisArau02600PerlisMalaysia

Liver cancer is the second leading cause of cancer death *** tumor detection may help identify suitable treatment and increase the survival *** imaging is a non-invasive tool that can help uncover abnormalities in human *** Resonance Imaging(MRI),in particular,uses magnetic fields and radio waves to differentiate internal human organs ***,the interpretation of medical images requires the subjective expertise of a radiologist and ***,building an automated diagnosis computer-based system can help specialists reduce incorrect *** paper proposes a hybrid automated system to compare the performance of 3D features and 2D features in classifying magnetic resonance liver tumor *** paper proposed two models;the first one employed the 3D features while the second exploited the 2D *** first system uses 3D texture attributes,3D shape features,and 3D graphical deep descriptors beside an ensemble classifier to differentiate between four 3D tumor *** top of that,the proposed method is applied to 2D slices for comparison *** proposed approach attained 100%accuracy in discriminating between all types of tumors,100%Area Under the Curve(AUC),100%sensitivity,and 100%specificity and precision as well in 3D liver *** the other hand,the performance is lower in 2D *** maximum accuracy reached 96.4%for two classes and 92.1%for four *** top-class performance of the proposed system can be attributed to the exploitation of various types of feature selection methods besides utilizing the ReliefF features selection technique to choose the most relevant features associated with different *** novelty of this work appeared in building a highly accurate system under specific circumstances without any processing for the images and human input,besides comparing the performance between 2D and 3D *** the future,the presented work can be extended to be

关键词： Liver tumors ensemble classifier 3D shape features 3D cooccurrence matrix ResNet101

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Cervical Cancer Classification Using Combined Machine Learning and Deep Learning Approach

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Computers, Materials & Continua 2022年第9期72卷 5117-5134页

作者： Hiam Alquran Wan Azani Mustafa Isam Abu Qasmieh Yasmeen mohd yacob Mohammed Alsalatie Yazan Al-Issa Ali Mohammad Alqudah Department of Biomedical Engineering Jordan University of Science and TechnologyIrbid22110Jordan Department of Biomedical Systems and Informatics Engineering Yarmouk University 556Irbid21163Jordan Faculty of Electrical Engineering Technology Campus Pauh PutraUniversiti Malaysia Perlis02000ArauPerlisMalaysia Advanced Computing Centre of Excellence(CoE)Universiti Malaysia Perlis(UniMAP)02000ArauPerlisMalaysia The Institute of Biomedical Technology King Hussein Medical CenterRoyal Jordanian Medical ServiceAmman11855Jordan Department of Computer Engineering Yarmouk UniversityIrbid21163Jordan

Cervical cancer is screened by pap smear methodology for detection and classification *** smear images of the cervical region are employed to detect and classify the abnormality of cervical *** this paper,we proposed the first system that it ables to classify the pap smear images into a seven classes *** smear images are exploited to design a computer-aided diagnoses system to classify the abnormality in cervical images *** features that have been extracted using ResNet101 are employed to discriminate seven classes of images in Support Vector Machine(SVM)*** success of this proposed system in distinguishing between the levels of normal cases with 100%accuracy and 100%*** top of that,it can distinguish between normal and abnormal cases with an accuracy of 100%.The high level of abnormality is then studied and classified with a high *** the other hand,the low level of abnormality is studied separately and classified into two classes,mild and moderate dysplasia,with∼92%*** proposed system is a built-in cascading manner with five models of polynomial(SVM)*** overall accuracy in training for all cases is 100%,while the overall test for all seven classes is around 92%in the test phase and overall accuracy reaches 97.3%.The proposed system facilitates the process of detection and classification of cervical cells in pap smear images and leads to early diagnosis of cervical cancer,which may lead to an increase in the survival rate in women.

关键词： Classification deep learning machine learning pap smear images resnet101 support vector machines

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Chlorella vulgaris triggers apoptosis in hepatocarcinogenesis-induced rats

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Journal of Zhejiang University-Science B(Biomedicine & Biotechnology) 2009年第1期10卷 14-21页

作者： Emey Suhana mohd AZAMAI Suhaniza SULAIMAN Shafina Hanim mohd HABIB Mee Lee LOOI Srijit DAS Nor Aini ABDUL HAMID Wan Zurinah WAN NGAH yasmin Anum mohd YUSOF Department of Biochemistry Universiti Kebangsaan Malaysia Department of Anatomy Faculty of Medicine UKM Medical Center Universiti Kebangsaan Malaysia

Chlorella vulgaris （CV） has been reported to have antioxidant and anticancer properties. We evaluated the effect of CV on apoptotic regulator protein expression in liver cancer-induced rats. Male Wistar rats （200-250 g） were divided into eight groups： control group （normal diet）, CDE group （choline deficient diet supplemented with ethionine in drinking water to induce hepatocarcinogenesis）, CV groups with three different doses of CV （50, 150, and 300 mg/kg body weight）, and CDE groups treated with different doses of CV （50, 150, and 300 mg/kg body weight）. Rats were sacrificed at various weeks and liver tissues were embedded in paraffin blocks for immunohistochemistry studies. CV, at increasing doses, decreased the expression of anti-apoptotic protein, Bcl-2, but increased the expression of pro-apoptotic protein, caspase 8, in CDE rats, which was correlated with decreased hepatoctyes proliferation and increased apoptosis as determined by bromodeoxy-uridine （BrdU） labeling and terminal deoxynucleotidyl transferase mediated dUTP nick-end labeling （TUNEL） assay, respectively. Our study shows that CV has definite chemopreventive effect by inducing apoptosis via decreasing the expression of Bcl-2 and increasing the expression of caspase 8 in hepatocarcinogenesis-induced rats.

关键词： Chlorella vulgaris (CV) Apoptosis Bcl-2 Caspase 8 Liver cancer

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T6SS-5 and the cGAS-STING pathway in Burkholderia pseudomallei infection and immunity

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Asian Pacific Journal of Tropical Biomedicine 2023年第3期13卷 94-103页

作者： Noreafifah Semail Nik mohd Noor Nik Zuraina yasmin Khairani Muhammad Ismadi Nurul Iman Mohamad Azian Harun Ismail Aziah Zakuan Zainy Deris Department of Medical Microbiology and Parasitology School of Medical SciencesUniversiti Sains Malaysia16150 Kubang KerianKelantanMalaysia School of Biology Faculty of Applied ScienceUniversiti Teknologi MaraShah Alam40450 SelangorMalaysia Institute for Research in Molecular Medicine Universiti Sains Malaysia16150 Kubang KerianKelantanMalaysia

Burkholderia pseudomallei is a causative agent of melioidosis that can infect humans and animals in endemic countries,specifically in Southeast Asia and tropical Australia.A fundamental component for the pathogenesis of Burkholderia pseudomallei is the capability of the bacterium to enter,survive,replicate,and cause disease in a host cell by inducing the host cell *** fusion results in multinucleated-giant cell formation,thus enabling the dissemination of Burkholderia pseudomallei *** reacts to Burkholderia pseudomallei infection by activating the cGAS-STING pathway and subsequently limiting host's aberrant cell division and cellular replication by inducing autophagic cell *** this review,we discuss the host-pathogen interactions between the typeⅥsecretion system 5(T6SS-5)of Burkholderia pseudomallei and human cGAS pathway in melioidosis *** T6SS-5 is a main virulent factor in Burkholderia pseudomallei and the c GAS pathway is vital for host immune response,elucidating their functions is important for better understanding the pathogenesis of Burkholderia pseudomallei.

关键词： Burkholderia pseudomallei Melioidosis T6SS-5 c GAS-STING IFN-1

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Technical Components of Total Factor Productivity Growth in Malaysian Manufacturing Industry

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Applied Mathematics 2013年第9期4卷 1251-1259页

作者： Nik Hashim Nik Mustapha Nik mohd Hazrul Hashim Ridzuan yacob Faculty of Management and Economics University of Malaysia Terengganu Kuala Terengganu Malaysia Graduate School of Business National University of Malaysia Bandar Baru Bangi Malaysia

This article attempts to disaggregate and explore the components of TFP growth that contribute to changes in output, scale of production, and allocative efficiency and technical efficiency of the Malaysian manufacturing sector. The total factor productivity (TFP) concept defined as total output per unit of all inputs used in the production of an industry has gained a prominent place in academia. The investigation on TFP growth is obviously useful for identifying sources of output growth in the development of an industry. The TFP growth is often interchangeably understood as the technical progress or changes in technology as the sole contributor to economic development. Nonetheless there are other factors contributing to its substance. Knowledge on these technical changes would help decision makers to realize the strengths and weaknesses that contribute to the growth and development of an industry. Alternatively this research would be more beneficial in the case of cross-industry or cross-country comparative studies in order to plan for developmental goal. In such a case a model industry or country can be chosen that exhibits special growth features.

关键词： Total Factor Productivity Growth Technical Efficiency Scale Effect Stochastic Production Frontier

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Piper betle leaf extract enhances the cytotoxicity effect of 5-fluorouracil in inhibiting the growth of HT29 and HCT116 colon cancer cells

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Journal of Zhejiang University-Science B(Biomedicine & Biotechnology) 2014年第8期15卷 692-700页

作者： Pek Leng NG Nor Fadilah RAJAB Sue Mian THEN yasmin Anum mohd YUSOF Wan Zurinah WAN NGAH Kar Yong PIN Mee Lee LOOI Department of Biomedical Sciences Faculty of Allied Health Universiti Kebangsaan Malaysia (UKM) Jalan Raja Muda Abdul Aziz50300 Kuala Lumpur Malaysia UKM Medical Molecular Biology Institute (UMBI) Universiti Kebangsaan Malaysia (UKM) Jalan Yaacob Latiff Bandar Tun Razak Cheras56000 Kuala Lumpur Malaysia School of Biomedical Science University of Nottingham Malaysia Campus43500 Semenyih Selangor Malaysia Department of Biochemistry Faculty of Medicine Universiti Kebangsaan Malaysia (UKM) Jalan Raja Muda Abdul Aziz50300 Kuala Lumpur Malaysia Forest Research Institute Malaysia (FRIM) 52109 Kuala Lumpur Kepong Malaysia School of Biosciences Taylor’s University Lakeside Campus47500 Subang Jaya Selangor Malaysia

Objective： The combination effect of Piperbetle （PB） and 5-fluorouracil （5-FU） in enhancing the cytotoxic potential of 5-FU in inhibiting the growth of colon cancer cells was investigated. Methods： HT29 and HCT116 cells were subjected to 5-FU or PB treatment. 5-FU and PB were then combined and their effects on both cell lines were observed after 24 h of treatment. PB-5-FU interaction was elucidated by isobologram analysis. Apoptosis features of the treated cells were revealed by annexin V/PI stain. High-performance liquid chromatography （HPLC） was performed to exclude any possible chemical interaction between the compounds. Results： In the presence of PB extract, the cytotoxicity of 5-FU was observed at a lower dose （IC^0 12.5 pmol/L） and a shorter time （24 h） in both cell lines. Both cell lines treated with 5-FU or PB alone induced a greater apoptosis effect compared with the combination treatment. Isobologram analysis indicated that PB and 5-FU interacted synergistically and antagonistically in inhibiting the growth of HT29 and HCT116 cells, respectively. Conclusions： In the presence of PB, a lower dosage of 5-FU is required to achieve the maximum drug effect in inhibiting the growth of HT29 cells. However, PB did not significantly reduce 5-FU dosage in HCT116 cells. Our result showed that this interaction may not solely contribute to the apoptosis pathway.

关键词： Piperaceae Piper beUe L. 5-Fiuorouracil Isobologram analysis Herb-drug interaction

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Arsenic Detection Using Surface Plasmon Resonance Sensor With Hydrous Ferric Oxide Layer

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Photonic Sensors 2022年第3期12卷 30-37页

作者： yasmin MUSTAPHA KAMIL Sura Hmoud AL-REKABI Muhammad Hafiz ABU BAKAR Yap Wing FEN Husam Abduldaem MOHAMMED Nor Hafizah MOHAMED HALIP Mohammed Thamer ALRESHEEDI mohd Adzir MAHDI inLAZER Dynamics Sdn Bhd InnoHub UnitPutra Science ParkUniversiti Putra MalaysiaSerdang 43400Malaysia Electrical Engineering Department Al Suwayrah Technical InstituteMiddle Technical UniversityBaghdad 10074Iraq Wireless and Photonic Networks Research Centre Faculty of EngineeringUniversiti Putra MalaysiaSerdang 43400Malaysia Institute of Advanced Technology Universiti Putra MalaysiaSerdang 43400Malaysia Department of Physics Faculty of ScienceUniversiti Putra MalaysiaSerdang 43400Malaysia Electronic and Communication Engineering Department College of EngineeringUniversity of BaghdadBaghdad 10071Iraq Department of Electrical Engineering College of EngineeringKing Saud UniversityRiyadh 11421Kingdom of Saudi Arabia

The lethality of inorganic arsenic(As)and the threat it poses have made the development of efficient As detection systems a vital *** research work demonstrates a sensing layer made of hydrous ferric oxide(Fe_(2)H_(2)O_(4))to detect As(Ⅲ)and As(Ⅴ)ions in a surface plasmon resonance *** sensor conceptualizes on the strength of Fe_(2)H_(2)O_(4) to absorb As ions and the interaction of plasmon resonance towards the changes occurring on the sensing *** sensitivity values for As(Ⅲ)and As(Ⅴ)were 1.083°·ppb^(–1) and 0.922°·ppb^(-1),respectively,while the limit of detection for both ions was 0.6 *** findings support the feasibility and potential of the sensor configuration towards paving future advancement in As detection systems.

关键词： Surface plasmon resonance di-iron trioxide hydrate arsenic heavy metals ion optical sensor

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Elemental and Physical Effect of Carbon from Date＇s Frond after Activation by Phosphoric Acid

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材料科学与工程（中英文版） 2011年第1期5卷 20-25页

作者： Norasyikin mohd Mustapha Abdul Rahim yacob Hassan M. Al Swaidan Chemistry Department Faculty of Science Universiti Teknologi Malaysia Skudai 81310 Joho Malaysia Chemistry Department College of Scienee King Saud University Riyadh 11451 Saudi Arabia

Date frond, a low-cost agricultural by-product abundant in Saudi Arabia was used as a precursor for the production of porous carbons by chemical activation using phosphoric acid. The developed surface morphology was studied using thermogravimetry analysis (TGA), Fourier transform infrared spectroscopy (FTIR) and single point BET surface area. The result obtained from TGA indicates major weight loss is during heating before 400 °C. In this study, thus this temperature was chosen to carbonize the date frond after the chemical activation using phosphoric acid (H3PO4) at various concentrations. FTIR results show that the sample is successfully converted from raw material to pure high surface area carbon. This study also shows that chemical activation at 60% H3PO4 gives the highest surface area of 1138.0 m2·g-1. Field emission scanning microscope/energy dispersive X-ray Spectroscopy (FESEM/EDAX) on the other hand shows that chemical activation will wash away some minerals during activation to create the high surface area activated carbon.

关键词：磷酸生产激活过程元素碳物理效应傅立叶变换红外光谱 BET比表面积化学活化高比表面积

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