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Trends on gastrointestinal bleeding and mortality:Where are we standing?

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World Journal of Gastroenterology 2012年第11期18卷 1154-1158页

作者： ahmed mahmoud El-Tawil Department of Surgery University Hospital Birmingham

Bleeding from the gastrointestinal tract and its management are associated with significant morbidity and *** predisposing factors that led to the occurrence of these hemorrhagic instances are largely linked to the life style of the affected *** a new strategy aimed at educating the publics and improving their awareness of the problem could effectively help in eradicating this problem with no associated risks and in bringing the mortality rates down to almost zero.

关键词： Gastrointestinal bleeding Peptic ulcer Esoph-ageal varices Helminthic infestation Bowel cancer Mor-tality Morbidity Predicting factors Age Sex

Colorectal cancers and chlorinated water

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World Journal of Gastrointestinal Oncology 2016年第4期8卷 402-409页

作者： ahmed mahmoud El-Tawil Department of Surgery University Hospital Birmingham

Published reports have revealed increased risk of colorectal cancers in people exposed to chlorinated drinking water or chemical derivatives of chlorination. Oestrogen plays a dual positive functions for diminishing the possibilities of such risk by reducing the entrance, and increasing the excretion, of these chemicals. In addition, there are supplementary measures that could be employed in order to reduce this risk further, such as boiling the drinking water, revising the standard concentrations of calcium, magnesium and iron in the public drinking water and prescribing oestrogen in susceptible individuals. Hypo-methylation of genomic DNA could be used as a biological marker for screening for the potential development of colorectal cancers.

关键词： Chlorinated drinking water Oestrogen Sex hormones Gender Colorectal cancers Trihalomethanes Carcinogenesis DNA hypo-methylation

An Intelligent Tree Extractive Text Summarization Deep Learning

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Computers, Materials & Continua 2022年第11期73卷 4231-4244页

作者： Abeer Abdulaziz AlArfaj Hanan ahmed Hosni mahmoud Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia

In recent research,deep learning algorithms have presented effective representation learning models for natural *** deep learningbased models create better data representation than classical *** are capable of automated extraction of distributed representation of *** this research,we introduce a new tree Extractive text summarization that is characterized by fitting the text structure representation in knowledge base training module,and also addresses memory issues that were not addresses *** proposed model employs a tree structured mechanism to generate the phrase and text *** proposed architecture mimics the tree configuration of the text-texts and provide better feature *** also incorporates an attention mechanism that offers an additional information source to conduct better summary *** novel model addresses text summarization as a classification process,where the model calculates the probabilities of phrase and text-summary *** model classification is divided into multiple features recognition such as information entropy,significance,redundancy and *** model was assessed on two datasets,on the Multi-Doc Composition Query(MCQ)and Dual Attention Composition dataset(DAC)*** experimental results prove that our proposed model has better summarization precision *** models by a considerable margin.

关键词： Neural network architecture text structure abstractive summarization

A Deep Learning Model for EEG-Based Lie Detection Test Using Spatial and Temporal Aspects

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Computers, Materials & Continua 2022年第12期73卷 5655-5669页

Lie detection test is highly significant task due to its impact on criminology and *** lie detection test model using electroencephalogram(EEG)signals is studied in *** this paper we studied deep learning framework in lie detection test ***,we apply a preprocessing technique to utilize only a small fragment of the EEG image instead of the whole *** model describes a temporal feature map of the EEG signals measured during the lie detection test.A deep learning attention model(V-TAM)extracts the temporal map vector during the learning *** technique reduces computational time and lessens the overfitting in Deep Learning *** propose a Cascading attention model with a deep learning convolutional neural network(CNN).V-TAM model extracts local features and global features in separate paths spatial and ***,to enhance the EEG segmentation precision,a novel Visual-Temporal AttentionModel(V-TAM)is *** accuracy was evaluated using data measured from a sensor from a public dataset of 9512 subjects during fifteen minutes lie detection *** compared our model with three recent published *** proposed model attained the highest performance of(98.5%)with(p<0.01).The visual-temporal model of the proposed platform shows an optimized balance between prediction accuracy and time *** investigationwere performed to prove the correctness and reliability of the proposed method through sizing of the input data,proving its effectiveness in attaining satisfactory performance by using only a smaller size input data.

关键词： Lie detection EEG image deep learning machine learning

A Dual Attention Encoder-Decoder Text Summarization Model

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Computers, Materials & Continua 2023年第2期74卷 3697-3710页

作者： Nada Ali Hakami Hanan ahmed Hosni mahmoud Jazan University Computer Science DepartmentCollege of Computer Science and Information TechnologyJazanSaudi Arabia Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia

A worthy text summarization should represent the fundamental content of the *** studies on computerized text summarization tried to present solutions to this challenging *** models are employed extensively in text summarization *** attention techniques are utilized to acquire the context data in the decoding ***,without real and efficient feature extraction,the produced summary may diverge from the core *** this article,we present an encoder-decoder attention system employing dual attention *** the dual attention mechanism,the attention algorithm gathers main data from the encoder *** the dual attentionmodel,the system can capture and producemore rational main *** merging of the two attention phases produces precise and rational text *** enhanced attention mechanism gives high score to text repetition to increase phrase *** also captures the relationship between phrases and the title giving them higher *** assessed our proposed model with or without significance optimization using ablation *** model with significance optimization achieved the highest performance of 96.7%precision and the least CPU time among other models in both training and sentence extraction.

关键词： Text summarization attention model phrase significance

Experimental and numerical investigation of the abrasive waterjet machining of aluminum-7075-T6 for aerospace applications

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Advances in Manufacturing 2021年第2期9卷 286-303页

作者： Joseck Nyaboro mahmoud ahmed Hassan El-Hofy Mohamed El-Hofy Department of Industrial and Manufacturing Engineering Egypt-Japan University of Science and Technology(E-JUST)Alexandria 21934Egypt Department of Energy Resources Engineering Egypt-Japan University of Science and Technology(E-JUST)Alexandria 21934Egypt Advanced Manufacturing Research Centre(AMRC)with Boeing The University of SheffieldRotherham S605TZUK

The machining of hard-to-cut materials with a high degree of precision and high surface quality is one of the most critical considerations when fabricating various state-of-the-art engineered *** this investigation,a comprehensive three-dimensional model was developed and numerically simulated to predict kerf profiles and material removal rates while drilling the aluminum-7075-T6 aerospace *** profile and material removal prediction involved three stages:jet dynamic flow modeling,abrasive particle tracking,and erosion rate *** investigations were conducted to validate the developed *** results indicate that the jet dynamic characteristics and flow of abrasive particles alter the kerf profiles,where the top kerf diameter increases with increasing jet pressure and standoff *** kerf depth and hole aspect ratio increase with jet pressure,but decrease with standoff distance and machining *** profiles were characterized by progressive edge rounding and parabolic *** can be minimized by utilizing high jet pressure and small standoff *** material removal rate increases with increasing jet pressure,abrasive particle size,and exposure time,but decreases with increasing standoff distance.

关键词： Non-traditional machining Abrasive waterjet machining Computational fluid dynamics(CFD) Erosion modeling Kerf characteristics

Epidemiology and inflammatory bowel diseases

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World Journal of Gastroenterology 2013年第10期19卷 1505-1507页

作者： ahmed mahmoud El-Tawil Department of Surgery University Hospital BirminghamEast CorridorGround FloorBirmingham B15 2THUnited Kingdom

The role of alcohol in causing or aggravating the pathogenesis of inflammatory bowel disease is *** finding a conclusive answer for this valuable question we conducted this *** two studies were identified that successfully fulfilled our inclusive *** consumption of alcohol reduced the risk compared with less frequent use(odds ratio = 0.57,95%CI:0.37-0.86).Light alcoholic drinking has protective effects against development of ulcerative *** this inverse association disappeared when smoking was included.

关键词： Epidemiology Inflammatory bowel diseases Crohn’s diseases Ulcerative colitis Alcohol

Deep Learning Prediction Model for Heart Disease for Elderly Patients

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Intelligent Automation & Soft Computing 2023年第2期35卷 2527-2540页

作者： Abeer Abdulaziz AlArfaj Hanan ahmed Hosni mahmoud Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia

The detection of heart disease is a problematic task in medical *** diagnosis utilizes a thorough analysis of the clinical tests from the patient’s medical *** massive advances in deep learning models pursue the devel-opment of intelligent computerized systems that aid medical professionals to detect the disease type with the internet of things ***,in this paper,we propose a deep learning model for elderly patients to aid and enhance the diag-nosis of heart *** proposed model utilizes a deeper neural architecture with multiple perceptron layers with regularization learning *** mod-el performance is veriﬁed with a full and minimum set of *** features enhance the processing time of the classiﬁcation process while the accuracy is *** performance of classiﬁers with less features has been analyzed with experimental *** proposed system is built on the Internet of Things Platform for medical data for the classiﬁcation process which aids medical profes-sionals to detect heart diseases through cloud *** results accuracy is matched to classical learning models such as Convolutional Neural Network(CNN),Deep CNN,and neural ensemble *** analysis of the proposed diagnostic system can determine the heart disease risks efﬁ*** results demonstrate thatﬂexible modeling and tuning of the hyperparameters can attain an accuracy of up to 97.11%.

关键词： Heart disease internet of things deep learning

Effects of groove-textured surfaces filled with Sn-Ag-Cu and MXene-Ti_(3)C_(2) composite lubricants on tribological properties of CSS-42L bearing steel

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Friction 2022年第7期10卷 1091-1113页

作者： Yawen XUE Chaohua WU Xiaoliang SHI Qipeng HUANG ahmed Mohamed mahmoud IBRAHIM School of Mechanical and Electronic Engineering Wuhan University of TechnologyWuhan 430070China Shenzhen Research Institute of Wuhan University of Technology Shenzhen 518000China Department of Production Engineering and Mechanical Design Faculty of EngineeringMinia UniversityEI-Minya 61519Egypt

To improve the tribological performance of CSS-42L bearing steel,smooth surfaces(SSs),groovetextured surfaces(GSs),GSs with Sn-Ag-Cu(GSs-SAC),and GSs with Sn-Ag-Cu-Ti_(3)C_(2)(GSs-SACT)were prepared on *** addition,experimental studies were conducted on tribological *** obtained results indicated that GSs-SACT exhibited the best anti-friction and noise reduction *** remarkable tribological performances were attributed to the synergistic effects of grooves,Sn-Ag-Cu,and MXene-Ti_(3)C_(2).The inconsistent rules of frictional forces were improved by the grooves and SACT,which inhibit the friction-induced *** micro-nano size-effects of MXene-Ti_(3)C_(2) enhanced the repairing effect and anti-friction property of composite lubricants,which improved the profile characteristics of GSs-SACT.

关键词： CSS-42L MXene Sn-Ag-Cu-Ti_(3)C_(2)(SACT) grooves tribological properties friction-induced noise