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The Role of Electrocardiogram DETERMINE Score in Prediction of Coronary Artery Disease Severity

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World Journal of Cardiovascular Diseases 2024年第9期14卷 567-580页

作者： Ismail N. El-Sokkary Essam Ahmed Khalil Mohammed Wael Badawi Ibrahim K. Gamil Shousha abdalla A. Elsebaey Mohamed Kamal Rehan Mahmoud Ibrahim Elshamy Yasser Ahmed Sadek Department of Cardiovascular & Thoracic Surgery Faculty of Medicine Al-Azhar University Cairo Egypt Department of Cardiology Al-Azhar University Cairo Egypt Department of Internal Medicine Beni-Sueif University Beni Suef Egypt Department of Radiology Al-Azhar University Cairo Egypt Department of Cardiology Helwan University Cairo Egypt

Background: A major cause of mortality and disability on a global scale is myocardial infarction (MI). These days, the most reliable way to detect and measure MI is via cardiovascular magnetic resonance imaging (CMR). Aims and Objectives: To evaluate the effectiveness of the Electrocardiogram DETERMINE Score in predicting the severity of coronary artery disease (CAD) in patients who have experienced an Acute Myocardial Infarction (AMI) & to assess improvements in left ventricular function at 6 months following coronary artery bypass grafting (CABG). Subjects and Methods: This Observational cohort study was done at the Cardiology and Radiology department and cardiac surgery department, Al-Azhar university hospitals and Helwan University hospital. The study involved 700 cases who patients diagnosed with Acute Myocardial Infarction and fulfilled specific criteria for selection. Result: There was highly statistically significant relation between Myocardial infarction size and ECG Marker Score as mean infarct size elevated When the number of ECG markers increased. There was a highly statistically significant relation between myocardial infarct segments, myocardial infarction size and improvement of cardiac function 6 months post-CABG. Conclusion: The study found that larger myocardial infarctions corresponded with higher DETERMINE Scores. It concluded that an ECG-based score better estimates infarct size than LVEF alone. Additionally, there was a significant statistical correlation between the size and segmentation of myocardial infarction and better cardiac function six months after CABG.

关键词： Electrocardiogram DETERMINE Score Coronary Artery Disease Outcome Acute Myocardial Infarction Coronary Artery Bypass Grafting

Assessment of Elasticity,Plasticity and Resistance to Machining-induced Damage of Porous Pre-sintered Zirconia Using Nanoindentation Techniques

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Journal of Materials Science & Technology 2016年第5期32卷 402-410页

作者： Abdur-rasheed Alao Ling Yin Matter & Materials College of Science Technology & Engineering James Cook University

Porous pre-sintered zirconia is subject to white machining during which its elasticity, plasticity and resistance to machining-induced damage determine its machinability and final quality. This study used nanoindentation techniques and the Sakai＇s series elastic and plastic deformation model to extract the resistance to plastic deformation from the plane strain modulus and the contact hardness for presintered zirconia. The modulus and the resistance to plasticity were used to calculate the relative amount of elasticity and plasticity. The fracture energy and the normalized indentation absorbed energy were used to deconvolute the resistance to machining-induced cracking based on the Sakai-Nowak model. All properties were extracted at a 10 mN peak load and loading rates of 0.1-2 mN/s to determine the loading rate effects on these properties. We found that the resistance to plasticity and the resistance to machining-induced cracking were independent of the loading rate （ANOVA, p 〉 0.05）. The elastic and plastic displacements depended on the loading rate through power laws. This loading rate-dependent deformation behaviour was explained by the maximum shear stress generated underneath the indenter and the indentation energy. The plastic deformation components and the indentation absorbed energy at all loading rates were higher than the elastic deformation components and the elastic strain energy, respectively. Finally, we established the linkage among the pore structure, indentation behaviour and machinability of pre-sintered zirconia.

关键词： Elastic/plastic deformation Loading rate Nanoindentation Pre-sintered zirconia Resistance to machining-induced cracking Resistance to plasticity

On a New Version of Weibull Model:Statistical Properties,Parameter Estimation and Applications

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Computer Modeling in Engineering & Sciences 2023年第12期137卷 2219-2241页

作者： Hassan Okasha mazen Nassar Department of Statistics Faculty of ScienceKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Mathematics Faculty of ScienceAl-Azhar UniversityNasr CityCairo11884Egypt Department of Statistics Faculty of CommerceZagazig UniversityZagazig44519Egypt

In this paper,we introduce a new four-parameter version of the traditional Weibull *** is able to provide seven shapes of hazard rate,including constant,decreasing,increasing,unimodal,bathtub,unimodal then bathtub,and bathtub then unimodal *** basic characteristics of the proposedmodel are studied,including moments,entropies,mean deviations and order statistics,and its parameters are estimated using the maximum likelihood *** on the asymptotic properties of the estimators,the approximate confidence intervals are also taken into consideration in addition to the point *** examine the effectiveness of the maximum likelihood estimators of the model’s parameters through simulation *** on the simulation findings,it can be concluded that the provided estimators are consistent and that asymptotic normality is a good method to get the interval *** actual data sets for COVID-19,engineering and blood cancer are used to empirically demonstrate the new distribution’s usefulness inmodeling real-world *** analysis demonstrates the proposed distribution’s ability in modeling many forms of data as opposed to some of its well-known sub-models,such as alpha powerWeibull distribution.

关键词： Weibull distribution alpha power transformation method maximum likelihood entropy order statistics

Construction of Customized Bio Incubator and Designing of Tailored Scaffolds for Bone Tissue Engineering from Laboratory Scale Up to Clinical Scale

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Journal of Renewable Materials 2022年第11期10卷 2699-2716页

作者： Soliman abdalla Shiref Kandil Department of Physics Faculty of ScienceKing Abdulaziz UniversityJeddahSaudi Arabia Department of Materials Science Institute of Graduate Studies and ResearchAlexandria UniversityAlexandriaEgypt

In order to obtain larger,clinical-scale and practical-scale bone grafts,we have designed both tailored scaffolds and tailored bio incubator with optimal bio-production *** DIC files to Simpleware Scan-IP(Simple-ware-exeter United Kingdom),we have digitally reconstructed segmental additive bone-tissue in order to perform images *** hydroxyapatite and tannin composites have been used in order to get the final bone modules combined for retexturing of segmental bone *** have found that sectioning of bone segment deficiency reorganizations into well disk-shaped design permits one to standardize the cell culture and seeding protocol,to get better *** present study concludes that some techniques with cultured cell in segmental bone grafts in the laboratory can be transferred and clinically used.

关键词： Repairing segmental bone customized scaffolds stem cells designing bio incubator bone engineering

A Hybrid Deep Fused Learning Approach to Segregate Infectious Diseases

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Computers, Materials & Continua 2023年第2期74卷 4239-4259页

作者： Jawad rasheed Shtwai Alsubai Department of Software Engineering Nisantasi UniversityIstanbul34398Turkey Dapartment of Computer Science College of Computer Engineering and Sciences in Al-KharjPrince Sattam Bin Abdulaziz UniversityP.O.Box 151Al-Kharj11942Saudi Arabia

Humankind is facing another deadliest pandemic of all times in history,caused by *** from this challenging pandemic,World Health Organization(WHO)considers tuberculosis(TB)as a preeminent infectious disease due to its high infection ***,both TB and COVID-19 severely affect the lungs,thus hardening the job of medical practitioners who can often misidentify these diseases in the current ***,the time of need calls for an immediate and meticulous automatic diagnostic tool that can accurately discriminate both *** one of the preliminary smart health systems that examine three clinical states(COVID-19,TB,and normal cases),this study proposes an amalgam of image filtering,data-augmentation technique,transfer learning-based approach,and advanced deep-learning classifiers to effectively segregate these *** first employed a generative adversarial network(GAN)and Crimmins speckle removal filter on X-ray images to overcome the issue of limited data and *** pre-processed image is then converted into red,green,and blue(RGB)and Commission Internationale de l’Elcairage(CIE)color spaces from which deep fused features are formed by extracting relevant features using DenseNet121 and *** feature extractor extracts 1000 most useful features which are then fused and finally fed to two variants of recurrent neural network(RNN)classifiers for precise discrimination of threeclinical *** analysis showed that the proposed Bi-directional long-short-term-memory(Bi-LSTM)model dominated the long-short-termmemory(LSTM)network by attaining an overall accuracy of 98.22%for the three-class classification task,whereas LSTM hardly achieved 94.22%accuracy on the test dataset.

关键词： Computer-aided diagnosis decision support system deep transfer learning deep fused features tuberculosis COVID-19

Smart Lung Tumor Prediction Using Dual Graph Convolutional Neural Network

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Intelligent Automation & Soft Computing 2023年第4期36卷 369-383页

作者： abdalla Alameen Department of Computer Science College of Arts and SciencesPrince Sattam Bin Abdulaziz UniversityKSA

A signiﬁcant advantage of medical image processing is that it allows non-invasive exploration of internal anatomy in great *** is possible to create and study 3D models of anatomical structures to improve treatment outcomes,develop more effective medical devices,or arrive at a more accurate *** paper aims to present a fused evolutionary algorithm that takes advantage of both whale optimization and bacterial foraging optimization to optimize feature *** classiﬁcation process was conducted with the aid of a convolu-tional neural network(CNN)with dual *** of the performance of the fused model is carried out with various *** the initial input Com-puter Tomography(CT)image,150 images are pre-processed and segmented to identify cancerous and non-cancerous *** geometrical,statistical,struc-tural,and texture features are extracted from the preprocessed segmented image using various methods such as Gray-level co-occurrence matrix(GLCM),Histo-gram-oriented gradient features(HOG),and Gray-level dependence matrix(GLDM).To select the optimal features,a novel fusion approach known as Whale-Bacterial Foraging Optimization is *** the classiﬁcation of lung cancer,dual graph convolutional neural networks have been employed.A com-parison of classiﬁcation algorithms and optimization algorithms has been *** to the evaluated results,the proposed fused algorithm is successful with an accuracy of 98.72%in predicting lung tumors,and it outper-forms other conventional approaches.

关键词： CNN dual graph convolutional neural network GLCM GLDM HOG image processing lung tumor prediction whale bacterial foraging optimization

University Learning and Anti-Plagiarism Back-End Services

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Computers, Materials & Continua 2021年第2期66卷 1215-1226页

作者： Manjur Kolhar abdalla Alameen Prince Sattam Bin Abdulaziz University Wadi Ad Dawaser11990Saudi Arabia

Plagiarism refers to the use of other people’s ideas and information without acknowledging the *** this research,anti-plagiarism software was designed especially for the university and its campuses to identify plagiarized text in students’written assignments and laboratory *** proposed framework collected original documents to identify plagiarized text using natural language *** research proposes a method to detect plagiarism by applying the core concept of text,which is semantic associations of words and their syntactic *** on the browser was obtained through Request application programming interface by name ***,and it is stored in a centralized Microsoft database Server.A total of 55,001 data samples were collected from 2015 to ***,we assimilated data from a university website,specifically from the *** network,and arranged the data into students’***,we extracted words from source documents and student documents using the WordNet *** a benchmark dataset consisting of 785 plagiarized text and 4,716 original text data,a significant accuracy of 90.2%was ***,the proposed framework demonstrated better performance than the other available *** students mentioned that working on assignments using the framework was suitable because they were able to work on the assignments in harmony,as per their timeframe and from different network *** framework also recommends procedures that can be used to avoid plagiarism.

关键词： NLP information science text data semantic syntactic analysis

Immunomodulatory and Antioxidativepotentials of adipose-derived Mesenchymalstem cells isolated from breast versusabdominal tissue: a comparative study

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Cell Regeneration 2020年第1期9卷 190-203页

作者： Nourhan Abu-Shahba Marwa Mahmoud mazen Abdel-rasheed Yasmine Darwish Ahmad AbdelKhaliq Eman Mohammed Mahmoud ElHefnawi Osama Azmy Stem Cell Research Group Centre of Excellence for Medical ResearchNational Research CentreCairoEgypt Medical Molecular Genetics Department Human Genetics and Genome Research DivisionNational Research CentreCairo 12622Egypt Department of Reproductive Health Research Medical Research Division.National Research CentreCairoEgypt Plastic and Reconstructive Surgery Unit General Surgery DepartmentKasr Al Ainy School of MedicineCairo UniversityCairoEgypt Biomedical Informatics and Chemoinformatics Group Centre of Excellence for Medical ResearchInformatics and Systems DepartmentNational Research CentreCairoEgypt

Background: Adipose-derived stem cells (ASCs) are considered ideal candidates for both research and cellular therapydue to ease of access, large yield, feasibility, and efficacy in preclinical and clinical studies. Unlike the subcutaneousabdominal fat depot, breast ASCs features are still not well recognized, limiting their possible therapeutic use. ASCswere found to exert immunomodulatory and antioxidative activities for maintaining homeostasis and functionality ofdiseased/damaged tissues. This study aims to investigate the immunomodulatory and antioxidative potentials of breastversus abdominal isolated ASCs to find out which anatomical site provides ASCs with better immunoregulatory andoxidative stress resistance ***: ASCs were isolated from abdominal and breast tissues. Gene expression analysis was conducted for a panelof immunomodulatory and antioxidative genes, as well as adipokines and proliferation genes. Flow cytometric analysisof a group of immunomodulatory surface proteins was also performed. Finally, the significantly expressed genes haveundergone protein-protein interaction and functional enrichment in silico ***: Our results revealed similar morphological and phenotypic characteristics for both breast and abdominalASCs. However, a significant elevation in the expression of two potent immunosuppressive genes, IL-10 and IDO aswell as the expression of the multifaceted immunomodulatory adipokine, visfatin, was detected in breast versusabdominal ASCs. Moreover, a significant overexpression of the antioxidative genes, GPX1, SIRT5, and STAT3 and theproliferation marker, Ki67, was also observed in breast ASCs relative to abdominal ones. In silico analysis showed thatboth of the differentially upregulated immunomodulatory and antioxidative mediators integratively involved inmultiple biological processes and pathways indicating their functional ***: Breast ASCs possess superior immunomodulatory and antioxidative c

关键词： Adipose-derived stem cells(ASCs) Breast adipose tissue Abdominal adipose tissue Immunomodulatory potential Antioxidative potential

Adipose tissue-derived mesenchymal stem cells and chitosan/poly(vinyl alcohol)nanofibrous scaffolds for cartilage tissue engineering

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Cell Regeneration 2020年第1期9卷 62-73页

作者： Ghada Nour-Eldeen mazen Abdel-rasheed Amira M.EL-Rafei Osama Azmy Gehan T.El-Bassyouni Molecular Genetics and Enzymology Department National Research CentreDokkiCairo 12622Egypt Stem Cell Research group Medical Research Centre of ExcellenceNational Research CentreCairo 12622Egypt Reproductive Health Research Department National Research Centre33 El-Buhouth StDokkiCairo 12622Egypt Refractories Ceramics and Building Materials DepartmentNational Research CentreDokkiCairo 12622Egypt

Osteoarthritis(OA)has been defined as a chronic inflammatory joint disease characterized by progressive articular cartilage *** growing interest in regenerative medicine,using cell therapy and tissue engineering,where cellular components in combination with engineered scaffolds and bioactive materials were used to induce functional tissue *** the present study,nanofibrous scaffold based on chitosan(CS)/poly(vinyl alcohol)(PVA)were used to develop biologically functionalized biomaterial to mimic the extracellular matrix,allowing the human adipose tissue derived mesenchymal stem cells(ADSCs)to proliferate and differentiate to chondrogenic *** morphology of the nanofibrous mat was examined using field emission scanning electron microscope(FE/SEM).The characteristic functional groups and the nature of the chemical bonds between atoms were evaluated using Fourier transform infrared spectroscopy(FTIR)*** of the seeded cells was morphologically evaluated by scanning electron microscopy and by flow cytometry for the expression of the stem cell surface *** differentiation potential was verified after chondrogenic induction by analyzing the expression of chondrogenic marker genes using real-time(RT PCR).Current study suggest significant potential for the use of ADSCs with the nanofibrous scaffolds in improving the osteoarthritis pathology.

关键词： Adipose tissue Mesenchymal stem cells Nanofibrous scaffolds Osteoarthritis Cartilage tissue engineering