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Surgical Management of Mitral Valve Infective Endocarditis with Accidental Finding of Open Pulmonary Tuberculosis

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World Journal of Cardiovascular Surgery 2024年第5期14卷 61-67页

作者： Ahmad Al Khaddour Mohammed Alharthi Alawab M. Mesallam mohamed Agawi Mahmoud Ghalwash Ahmed Gotbi mohamed Abdel hafez Fouly Marko Samanovic Nelson David Vega Murad El Gharbi Fawaz Altaf King Abdullah Medical Complex Jeddah KSA

Objective: This case report aimed to highlight intersections of TB and Cardiovasular diseases which carry high morbidity and mortality rates. Methods: We are reporting the surgical management of forty seven years female who had back ground history of IDDM (Insulin dependent diabetic Mellitus), ESRD (End stage renal disease) on HD (haemodialysis) also she had left subclavian artery stenosis, and paroxysmal atrial fibrillation. She was diagnosed with mitral valve infective endocarditis and found accidently to have an open pulmonary tuberculosis (TB) on the day before surgery. Results: She was started on first line anti-TB treatment. She was isolated in her private room and airborne precautions measures applied. The patient underwent a tissue Mitral Valve replacement and tricuspid valve repair annuloplasty. Special precautions were applied in Theatre and on cardiopulmonary bypass Machine guided by KAMC-J disinfection protocol. The patient made good recovery postoperatively. She was discharged well on day 7 post operatively. Conclusion: Intersections of TB and cardiovasular diseases carry high morbidity and mortality rates. Early diagnosis and early anti tuberculosis treatment can surely improve the patient prognosis. Our decontamination and disinfective procedures are recommended. Cases like this should be monitored long term for the development of further cardiovascular complication.

关键词： Tuberculosis (TB) Mycobacterium tuberculosis (MTB) Heater-Cooler and Bypass Machine New York Heart Association (NYHA)

Identification of Secondary Metabolites in Tunisian Tilia platyphyllos *** MALDI-TOF and GC-MS

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Journal of Renewable Materials 2024年第4期12卷 827-842页

作者： Ayda Khadhri mohamed Mendili Marwa Bannour-Scharinger Eric Masson Antonio Pizzi University of El-manar II Faculty of SciencesPlantSoilEnvironment Interactions LaboratoryCampus AcademiaTunis2092Tunisia LERMAB University of Lorraine27 Rue Philippe SeguinEpinal88000France

This study is the first to evaluate the phytochemical content and biological properties of Tunisian *** Scop.A total of 23 compounds of essential oils were identified by gas chromatography-mass spectrometry(GC-MS)analysis of bracts and fruit *** results show that oxygenated monoterpenes were the dominant class of essential *** phenolic composition was investigated by matrix-assisted laser desorption/ionizationtime of flight(MALDI-TOF).The analysis showed that the chemical profiles of the ethanolic extracts of bracts and fruits are substantially *** highest polyphenol content was found in the ethanolic extracts of the fruits(7.65 mg gallic acid equivalents(GAE).g−1 on dry weight(DW).As for the antioxidant capacity,it was recorded in the essential oils of the fruits(IC_(50)=0.91 ***^(−1)).The results obtained showed that the antioxidant activity of the fruit essential oil was higher than that of the ethanol *** fruit essential oil was also found to have the highest reducing power(IC_(50)=0.67 ***^(−1)).In terms of iron-chelating power,fruit essential oil has the highest chelating power(IC_(50)=2.03 ***^(−1)).Compared to the ethanolic extract,the essential oil had the maximum antioxidant *** enzymatic activity of acetylcholinesterase(AChE)inhibition of the essential oil from *** bracts had the most potent inhibitory effect(IC_(50)=0.77 ***^(−1)),followed by the essential oil from the fruits(IC_(50)=0.95 ***^(−1)).The results suggest that *** can be used as a potential source of naturally occurring bioactive compounds and antioxidants.

关键词： T.platyphyllos antioxidant activity acetylcholinesterase inhibition essential oil MALDI-TOF GC-MS

Automated Video-Based Face Detection Using Harris Hawks Optimization with Deep Learning

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Computers, Materials & Continua 2023年第6期75卷 4917-4933页

作者： Latifah Almuqren manar Ahmed Hamza Abdullah mohamed Amgad Atta Abdelmageed Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia Research Centre Future University in EgyptNew Cairo11845Egypt

Face recognition technology automatically identifies an individual from image or video *** detection process can be done by attaining facial characteristics from the image of a subject *** developments in deep learning(DL)and computer vision(CV)techniques enable the design of automated face recognition and tracking *** study presents a novel Harris Hawks Optimization with deep learning-empowered automated face detection and tracking(HHODL-AFDT)*** proposed HHODL-AFDT model involves a Faster region based convolution neural network(RCNN)-based face detection model and HHO-based hyperparameter opti-mization *** presented optimal Faster RCNN model precisely rec-ognizes the face and is passed into the face-tracking model using a regression network(REGN).The face tracking using the REGN model uses the fea-tures from neighboring frames and foresees the location of the target face in succeeding *** application of the HHO algorithm for optimal hyperparameter selection shows the novelty of the *** experimental validation of the presented HHODL-AFDT algorithm is conducted using two datasets and the experiment outcomes highlighted the superior performance of the HHODL-AFDT model over current methodologies with maximum accuracy of 90.60%and 88.08%under PICS and VTB datasets,respectively.

关键词： Face detection face tracking deep learning computer vision video surveillance parameter tuning

Predictors and Effects of Persistent Hypertension after Successful Treatment of Coarctation of the Aorta

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Congenital Heart Disease 2022年第3期17卷 325-333页

作者： mohamed Saber hafez Alaa Roushdy Dina Ezzeldin Ain Shams University CairoEgypt

Background:Coarctation of the aorta is a congenital heart disease that sometimes remains clinically silent until adulthood,usually presenting with arterial *** is well known that after coarctation treatment,many patients remain hypertensive despite successful *** this study we approached the predictors and effects of residual hypertension after successful coarctation ***:It was a cross sectional observational study involving 50 patients who underwent Coarctation repair/angioplasty in Ain Shams university *** divided the patients into two groups(hypertensive and normotensive)and we studied their demographic data(e.g.,age,gender,age at first repair,follow up period,etc.)to conclude the possible predictors of persistent hypertension in such *** also performed full echocardiographic assessment including 3D speckle tracking echocardiography to detect subtle changes in left ventricular systolic ***:Hypertensive patients had significantly higher BMI(29.1 kg/m^(2))as compared to normotensives(24 kg/m^(2)),p<*** at first CoA intervention was significantly higher in hypertensive *** patients had significantly lower 3D left ventricular strain measures(Global area strain,global circumferential strain and global longitudinal strain).The incidence of bicuspid aortic valve was significantly higher in the hypertensive group,yet it was not an independent predictor of persistent ***:The predictors for residual hypertension post successful CoA repair were late intervention and higher *** aortic valve was more common in the hypertensive *** the effects of such disease domain,treated CoA patients with persistent hypertension tended to have higher LV mass index and lower values of LV deformation.

关键词： Coarctation arterial hypertension speckle tracking left ventricular strain

Tungsten ion source under double-pulse laser ablation system

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Chinese Physics B 2017年第9期26卷 285-296页

作者： Ahmed Asaad I Khalil Ashraf I hafez Mahmoud E Elgohary mohamed A Morsy Department of Laser Sciences and Interactions National Institute of Laser Enhanced SciencesCairo UniversityGiza 12613Egypt Central Laboratory of Ministry of Electricity CairoEgypt Atomic Research Center Atomic Energy AuthorityCairo 13759Egypt Department of Nuclear Engineering Jordan University of Science and Technology IrbidJordan Department of Chemistry King Fahd University of Petroleum and MineralsDhahran 31261Saudi Arabia

New tungsten ion source is produced by using single and double-pulse laser ablation system. Combined collinear Nd：YAG laser beams（266＋1064 nm） are optimized to focus on the sample in air. Optimization of the experimental parameters is achieved to enhance the signal-to-noise ratio of the emission spectra. The velocity distribution of the emitted plasma cloud is carefully measured. The influences of the potential difference between the bias electrodes, laser wavelength and intensity on the current signal are also studied. The results show that the increase in the tungsten ion velocity under the double-pulse lasers causes the output current signal to increase by about three folds. The electron density and temperature are calculated by using the Stark-broadened line profile of tungsten line and Boltzmann plot method of the upper energy levels, respectively. The signal intensity dependence of the tungsten ion angular distribution is also analyzed. The results indicate that the double-pulse laser ablation configuration is more potent technique for producing more metal ion source deposition, thin film formation, and activated plasma-facing component material.

关键词： tungsten ion beam double-pulse lasers ablation system laser ablation system optical Instrumentation

Coverless Image Steganography Based on Jigsaw Puzzle Image Generation

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Computers, Materials & Continua 2021年第5期67卷 2077-2091页

作者： Al Hussien Seddik Saad M.S.mohamed E.H.hafez Department of Computer Science Faculty of ScienceMinia UniversityMinya61519Egypt Department of Mathematics College of ScienceTaif UniversityTaif21944Saudi Arabia Department of Mathematics Faculty of ScienceAl-Azher UniversityNasr City11884Egypt Department of Mathematics Faculty of ScienceHelwan UniversityCairoEgypt

Current image steganography methods are working by assigning an image as a cover file then embed the payload within it by modifying its pixels,creating the stego ***,the left traces that are caused by these modifications will make steganalysis algorithms easily detect the hidden payload.A coverless data hiding concept is proposed to solve this *** does not mean that cover is not required,or the payload can be transmitted without a ***,the payload is embedded by cover generation or a secret message mapping between the cover file and the *** this paper,a new coverless image steganography method has been proposed based on the jigsaw puzzle image generation driven by a secret ***,the image is divided into equal rows then further divided into equal columns,creating blocks(i.e.,sub-images).Then,according to secret message bits and a proposed mapping function,each block will have tabs/blanks to get the shape of a puzzle piece creating a fully shaped jigsaw puzzle *** that,the generated jigsaw puzzle image is sent to the *** results and analysis show a good performance in the hiding capacity,security,and robustness compared with existing coverless image steganography methods.

关键词： Coverless information hiding Jigsaw puzzle image image steganography data hiding

Automated Machine Learning Enabled Cybersecurity Threat Detection in Internet of Things Environment

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Computer Systems Science & Engineering 2023年第4期45卷 687-700页

作者： Fadwa Alrowais Sami Althahabi Saud S.Alotaibi Abdullah mohamed manar Ahmed Hamza Radwa Marzouk Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh11671Saudi Arabia Department of Computer Science College of Science&Art at MahayilKing Khalid UniversitySaudi Arabia Department of Information Systems College of Computing and Information SystemUmm Al-Qura UniversitySaudi Arabia Research Centre Future University in EgyptNew Cairo11745Egypt Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam Bin Abdulaziz UniversityAlKharjSaudi Arabia Department of Mathematics Faculty of ScienceCairo UniversityGiza12613Egypt

Recently,Internet of Things(IoT)devices produces massive quantity of data from distinct sources that get transmitted over public *** becomes a challenging issue in the IoT environment where the existence of cyber threats needs to be *** development of automated tools for cyber threat detection and classification using machine learning(ML)and artificial intelligence(AI)tools become essential to accomplish security in the IoT *** is needed to minimize security issues related to IoT gadgets ***,this article introduces a new Mayfly optimization(MFO)with regularized extreme learning machine(RELM)model,named MFO-RELM for Cybersecurity Threat Detection and classification in IoT *** presented MFORELM technique accomplishes the effectual identification of cybersecurity threats that exist in the IoT *** accomplishing this,the MFO-RELM model pre-processes the actual IoT data into a meaningful *** addition,the RELM model receives the pre-processed data and carries out the classification *** order to boost the performance of the RELM model,the MFO algorithm has been employed to *** performance validation of the MFO-RELM model is tested using standard datasets and the results highlighted the better outcomes of the MFO-RELM model under distinct aspects.

关键词： Cybersecurity threats classification internet of things machine learning parameter optimization

Controlled drainage in the Nile River delta of Egypt:a promising approach for decreasing drainage off-site effects and enhancing yield and water use efficiency of wheat

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Journal of Arid Land 2023年第4期15卷 460-476页

作者： mohamed K EL-GHANNAM Fatma WASSAR Sabah MORSY mohamed hafez Chiter M PARIHAR Kent O BURKEY Ahmed M ABDALLAH Soil Water and Environment Research InstituteAgricultural Research CenterGiza 12112Egypt Higher Institute of Water Sciences and Techniques of Gabès University of GabèsGabès 6072Tunisia Institute of Arid Regions Medenine 4119Tunisia Crop Science Department Faculty of AgricultureDamanhour UniversityDamanhour 22516Egypt Land and Water Technologies Department Arid Lands Cultivation Research InstituteCity of Scientific Research and Technological ApplicationsNew Borg El-Arab 21934Egypt Indian Council of Agricultural Research(ICAR)-Indian Agricultural Research Institute(IARI) New Delhi 110012India United States Department of Agriculture(USDA)-Agricultural Research Services(ARS) Plant Science Research UnitNorth Carolina 27607USA Natural Resources and Agricultural Engineering Department Faculty of AgricultureDamanhour UniversityDamanhour 22516Egypt

North Africa is one of the most regions impacted by water *** implementation of controlled drainage(CD)in the northern Nile River delta of Egypt is one strategy to decrease irrigation,thus alleviating the negative impact of water *** study investigated the impacts of CD at different levels on drainage outflow,water table level,nitrate loss,grain yield,and water use efficiency(WUE)of various wheat *** levels of CD,i.e.,0.4 m below the soil surface(CD-0.4)and 0.8 m below the soil surface(CD-0.8),were compared with subsurface free drainage(SFD)at 1.2 m below the soil surface(SFD-1.2).Under each drainage treatment,four wheat cultivars were grown for two growing seasons(November 2018–April 2019 and November 2019–April 2020).Compared with SFD-1.2,CD-0.4 and CD-0.8 decreased irrigation water by 42.0%and 19.9%,drainage outflow by 40.3%and 27.3%,and nitrate loss by 35.3%and 20.8%,*** CD treatments,plants absorbed a significant portion of their evapotranspiration from shallow groundwater(22.0%and 8.0%for CD-0.4 and CD-0.8,respectively).All wheat cultivars positively responded to CD treatments,and the highest grain yield and straw yield were obtained under CD-0.4 *** the initial soil salinity as a reference,the soil salinity under CD-0.4 treatment increased two-fold by the end of the second growing season without negative impacts on wheat *** the drainage system by raising the outlet elevation and considering shallow groundwater contribution to crop evapotranspiration promoted water-saving and *** responses could be obtained based on the different plant tolerance to salinity and water stress,crop characteristics,and growth ***-specific soil salinity management practices will be required to avoid soil salinization due to the adoption of long-term shallow groundwater in Egypt and other similar agroecosystems.

关键词： drainage ratio nitrate loss water use efficiency yield soil salinity Nile River delta

Data Mining with Comprehensive Oppositional Based Learning for Rainfall Prediction

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Computers, Materials & Continua 2023年第2期74卷 2725-2738页

作者： Mohammad Alamgeer Amal Al-Rasheed Ahmad Alhindi manar Ahmed Hamza Abdelwahed Motwakel mohamed I.Eldesouki Department of Information Systems College of Science&Art at MahayilKing Khalid UniversityAbha62529Saudi Arabia Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia Department of Computer Science College of Computing and Information SystemMecca24382Saudi Arabia Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharj16278Saudi Arabia Department of Information System College of Computer Engineering and SciencesPrince Sattam bin Abdulaziz UniversityAlKharj16278Saudi Arabia

Data mining process involves a number of steps fromdata collection to visualization to identify useful data from massive data *** same time,the recent advances of machine learning(ML)and deep learning(DL)models can be utilized for effectual rainfall *** this motivation,this article develops a novel comprehensive oppositionalmoth flame optimization with deep learning for rainfall prediction(COMFO-DLRP)*** proposed CMFO-DLRP model mainly intends to predict the rainfall and thereby determine the environmental ***,data pre-processing and correlation matrix(CM)based feature selection processes are carried *** addition,deep belief network(DBN)model is applied for the effective prediction of rainfall ***,COMFO algorithm was derived by integrating the concepts of comprehensive oppositional based learning(COBL)with traditional MFO ***,the COMFO algorithm is employed for the optimal hyperparameter selection of the DBN *** demonstrating the improved outcomes of the COMFO-DLRP approach,a sequence of simulations were carried out and the outcomes are assessed under distinct *** simulation outcome highlighted the enhanced outcomes of the COMFO-DLRP method on the other techniques.

关键词： Data mining rainfall prediction deep learning correlation matrix hyperparameter tuning metaheuristics