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A Comparative Analysis on Surgical Outcomes and Complications of Endoscopic and Open Vein Harvesting Techniques

Open Journal of Thoracic Surgery 2024年第2期14卷 29-39页

作者： Mohammed Fawzy Eltaweel Ismail N. El-Sokkary Ahmed alherazi Mohamed Wael Badawi Mohammed G. Abdellatif Bahaa A. Elkhonezy ibrahim K. Gamil Haytham Mohamed Abd El Moaty Sarra Sadmi Mahmoud Khalil Department of Cardiothoracic Surgery Faculty of Medicine Menoufia University Shibin El Kom Egypt Department of Cardiovascular & Thoracic Surgery Faculty of Medicine Al-Azhar University Cairo Egypt Department of Cardiothoracic Surgery Faculty of Medicine Alexandria University Alexandria Egypt Faculty of Medicine University of Algiers Algiers Algeria Department of Cardiac Surgery Sabah Al-Ahmed Cardiac Center Al-Amiri Hospital Kuwait City Kuwait

Objective: The great saphenous vein (GSV) is commonly used as a conduit for grafting during CABG surgery, and open GSV harvesting (OVH), commonly used with long incision to expose the vein. However, endoscopic vein harvesting (EVH) is an alternative approach, utilizing specialized instruments and small incisions to harvest the vein. Methods: A retrospective analysis was conducted on a cohort of patients who underwent Coronary artery bypass graft (CABG) requiring great saphenous vein (GSV) harvesting which was done by EVH or OVH procedures. Demographic variables, including age and gender, were assessed for both groups. Intraoperative variables such as the number of grafts, cardiopulmonary bypass time, X clamp time, and type of procedure were analyzed. Postoperative variables, including infection and bleeding rates, were also evaluated. Results: The study included 30 patients each undergoing Coronary artery bypass graft (CABG) with need of great saphenous vein harvesting which was done by EVH and OVH. Demographic variables were well-matched between the two groups in terms of age, while a significant difference in gender distribution was observed. Obesity and smoking were more prevalent in the OVH group, and EVH was associated with a higher mean number of grafts compared to OVH. Conversion to an open technique occurred in a portion of the EVH cases, and infection rates did not significantly differ between the EVH and OVH groups. However, the incidence of postoperative bleeding was significantly higher in the EVH group. Conclusion: This study provides valuable insights into the demographic, intraoperative, and postoperative variables associated with EVH and OVH techniques. EVH demonstrated advantages in terms of reduced infection rates compared to OVH. However, the higher incidence of postoperative bleeding associated with EVH raises concerns about potential risks.

关键词： Endoscopic Vein Harvesting (EVH) Open Vein Harvesting (OVH) Coronary Artery Bypass Grafting (CABG) Great Saphenous Vein (GSV) Surgical Outcomes

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Optimal Deep Learning Based Intruder Identification in Industrial Internet of Things Environment

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Computer Systems Science & Engineering 2023年第9期46卷 3121-3139页

作者： Khaled M.alalayah Fatma S.alrayes Jaber S.alzahrani Khadija M.alaidarous ibrahim M.alwayle Heba Mohsen ibrahim Abdulrab Ahmed Mesfer al Duhayyim Department of Computer Science College of Science and ArtsSharurahNajran UniversitySaudi Arabia Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Industrial Engineering College of Engineering at AlqunfudahUmm Al-Qura UniversitySaudi Arabia Department of Computer Science Faculty of Computers and Information TechnologyFuture University in EgyptNew Cairo11835Egypt Computer Department Applied CollegeNajran UniversityNajran66462Saudi Arabia Department of Computer Science College of Computer Engineering and SciencesPrince Sattam bin Abdulaziz UniversityAl-Kharj16273Saudi Arabia

With the increased advancements of smart industries,cybersecurity has become a vital growth factor in the success of industrial *** Industrial Internet of Things(IIoT)or Industry 4.0 has revolutionized the concepts of manufacturing and production *** industry 4.0,powerful IntrusionDetection Systems(IDS)play a significant role in ensuring network *** various intrusion detection techniques have been developed so far,it is challenging to protect the intricate data of *** is because conventional Machine Learning(ML)approaches are inadequate and insufficient to address the demands of dynamic IIoT ***,the existing Deep Learning(DL)can be employed to identify anonymous ***,the current study proposes a Hunger Games Search Optimization with Deep Learning-Driven Intrusion Detection(HGSODLID)model for the IIoT *** presented HGSODL-ID model exploits the linear normalization approach to transform the input data into a useful *** HGSO algorithm is employed for Feature Selection(HGSO-FS)to reduce the curse of ***,Sparrow Search Optimization(SSO)is utilized with a Graph Convolutional Network(GCN)to classify and identify intrusions in the ***,the SSO technique is exploited to fine-tune the hyper-parameters involved in the GCN *** proposed HGSODL-ID model was experimentally validated using a benchmark dataset,and the results confirmed the superiority of the proposed HGSODL-ID method over recent approaches.

关键词： Industrial IoT deep learning network security intrusion detection system attribute selection smart factory

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Parameter Tuned Machine Learning Based Emotion Recognition on Arabic Twitter Data

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Computer Systems Science & Engineering 2023年第9期46卷 3423-3438页

作者： ibrahim M.alwayle Badriyya B.al-onazi Jaber S.alzahrani Khaled M.alalayah Khadija M.alaidarous ibrahim Abdulrab Ahmed Mahmoud Othman Abdelwahed Motwakel Department of Computer Science College of Science and ArtsSharurahNajran UniversityNajran55461Saudi Arabia Department of Language Preparation Arabic Language Teaching InstitutePrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Industrial Engineering College of Engineering at AlqunfudahUmm Al-Qura UniversityNajran24211Saudi Arabia Computer Department Applied CollegeNajran UniversityNajran66462Saudi Arabia Department of Computer Science Faculty of Computers and Information TechnologyFuture University in EgyptNew Cairo11835Egypt Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia

Arabic is one of the most spoken languages across the ***,there are fewer studies concerning Sentiment Analysis(SA)in *** recent years,the detected sentiments and emotions expressed in tweets have received significant *** substantial role played by the Arab region in international politics and the global economy has urged the need to examine the sentiments and emotions in the Arabic *** common models are available:Machine Learning and lexicon-based approaches to address emotion classification *** this motivation,the current research article develops a Teaching and Learning Optimization with Machine Learning Based Emotion Recognition and Classification(TLBOML-ERC)model for Sentiment Analysis on tweets made in the Arabic *** presented TLBOML-ERC model focuses on recognising emotions and sentiments expressed in Arabic *** attain this,the proposed TLBOMLERC model initially carries out data pre-processing and a Continuous Bag Of Words(CBOW)-based word embedding *** addition,Denoising Autoencoder(DAE)model is also exploited to categorise different emotions expressed in Arabic *** improve the efficacy of the DAE model,the Teaching and Learning-based Optimization(TLBO)algorithm is utilized to optimize the *** proposed TLBOML-ERC method was experimentally validated with the help of an Arabic tweets *** obtained results show the promising performance of the proposed TLBOML-ERC model on Arabic emotion classification.

关键词： Arabic language Twitter data machine learning teaching and learning-based optimization sentiment analysis emotion classification

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Learning-Based Artificial algae algorithm with Optimal Machine Learning Enabled Malware Detection

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Computer Systems Science & Engineering 2023年第9期46卷 3103-3119页

作者： Khaled M.alalayah Fatma S.alrayes Mohamed K.Nour Khadija M.alaidarous ibrahim M.alwayle Heba Mohsen ibrahim Abdulrab Ahmed Mesfer al Duhayyim Department of Computer Science College of Science and ArtsNajran UniversitySharurahSaudi Arabia Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer Sciences College of Computing and Information SystemUmm Al-Qura UniversitySaudi Arabia Department of Computer Science Faculty of Computers and Information TechnologyFuture University in EgyptNew Cairo11835Egypt Computer Department Applied CollegeNajran UniversityNajran66462Saudi Arabia Department of Computer Science College of Computer Engineering and SciencesPrince Sattam bin Abdulaziz UniversityAl-Kharj16273Saudi Arabia

Malware is a‘malicious software program that performs multiple cyberattacks on the Internet,involving fraud,scams,nation-state cyberwar,and *** malicious software programs come under different classifications,namely Trojans,viruses,spyware,worms,ransomware,Rootkit,botnet malware,*** is a kind of malware that holds the victim’s data hostage by encrypting the information on the user’s computer to make it inaccessible to users and only decrypting it;then,the user pays a ransom procedure of a sum of *** prevent detection,various forms of ransomware utilize more than one mechanism in their attack flow in conjunction with Machine Learning(ML)*** study focuses on designing a Learning-Based Artificial algae algorithm with Optimal Machine Learning Enabled Malware Detection(LBAAA-OMLMD)approach in Computer *** presented LBAAA-OMLMDmodelmainly aims to detect and classify the existence of ransomware and goodware in the *** accomplish this,the LBAAA-OMLMD model initially derives a Learning-Based Artificial algae algorithm based Feature Selection(LBAAA-FS)model to reduce the curse of dimensionality ***,the Flower Pollination algorithm(FPA)with Echo State Network(ESN)Classification model is *** FPA model helps to appropriately adjust the parameters related to the ESN model to accomplish enhanced classifier *** experimental validation of the LBAAA-OMLMD model is tested using a benchmark dataset,and the outcomes are inspected in distinct *** comprehensive comparative examination demonstrated the betterment of the LBAAAOMLMD model over recent algorithms.

关键词： Computer networks machine learning security malware detection feature selection ransomware

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Stratified Double Quartile Ranked Set Samples

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Journal of Mathematics and System Science 2014年第1期4卷 49-55页

作者： Mahmoud ibrahim Syam Kamarulzaman ibrahim Amer ibrahim al-Omari] School of Mathematical Sciences University Kebangsaan Malaysia 43600 UKM Bangi Selangor Malaysia al al-Bayt University Faculty of Science Department of Mathematics P.O. Box 130095 Mafraq 25113 Jordan

The procedure of stratified double quartile ranked set sampling （SDQRSS） method is introduced to estimate the population mean. The SDQRSS is compared with the simple random sampling （SRS）, stratified ranked set sampling （SRSS） and stratified simple random sampling （SSRS）. It is shown that SDQRSS estimator is an unbiased of the population mean and more efficient than SRS, SRSS and SSRS for symmetric and asymmetric distributions. In addition, by SDQRSS we can increase the efficiency of mean estimator for specific value of the sample size.

关键词： Ranked set sampling quartile ranked set sampling double quartile ranked set sampling stratified double quartile rankedset sampling.

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Integrating Lithostratigraphic Units and GIS-Analysis Techniques to Modified Surface Water Quality Index

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Journal of Environmental Protection 2016年第8期7卷 1104-1112页

作者： Majed ibrahim Habes al-Mashakbeh Geographic Information System and Remote Sensing Department Al-Albayt University Mafraq Jordan Applied of Earth and Environmental Sciences Department Al-Albayt University Mafraq Jordan

The purpose of this study is to investigate the effect of using Bicarbonate and Calcium parameters as alternatives to the lithostratigraphic units covered the catchment area, on water quality index (WQI) values that have been implemented with GIS technique at Wadi al-Arab Dam. The analyzed results (by WQI method) have been used to depict water quality for the two approaches. Based on physico-chemical parameters, the calculated values for WQI over the 3-year for study period were 169, 168, and 157, respectively. While the WQI values were 184, 183 and 172, respectively, as a result of incorporated Bicarbonate and Calcium parameters in WQI calculations that significantly contributed to increasing the WQI. The elevated values may be attributed to the influence of carbonate stone dissolution and mechanical erosion under weathering conditions that are prevalent during winter season in the catchment area. As a consequence of lithostratigraphic unites product and GIS technique integration and normalization processes, most of water quality ranks are good and only autumn season has poor water quality in the 2012 and 2013, while in 2014 it has good water quality in the same season. The WQI values increase in general trend from winter to autumn seasons during the study period that may be referred to outflow by daily consumption, evaporation rising, and seepage water. The analysis shows that the modified water quality values of the Wadi al-Arab Dam Reservoir (WADR) vary after using Bicarbonate and Calcium parameters by constant value. Generally, the results signify that the WADR is not polluted based on the physical and chemical characteristics of water.

关键词： GIS Lithostratigraphic Units Water Quality Index Surface Water Reservoir Seasonality Irbid Wadi al-Arab Dam Jordan

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A New Medical Image Enhancement algorithm Based on Fractional Calculus

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Computers, Materials & Continua 2021年第8期68卷 1467-1483页

作者： Hamid A.Jalab Rabha W.ibrahim ali M.Hasan Faten Khalid Karim ala’a R.al-Shamasneh Dumitru Baleanu Faculty of Computer Science and Information Technology University MalayaKuala Lumpur50603Malaysia Nonlinear Dynamics Research Center(NDRC) Ajman UniversityAjman346UAE College of Medicine Al-Nahrain UniversityBaghdad10001Iraq Department of Computer Science College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh84428Saudi Arabia Department of Mathematics Cankaya UniversityBalgatAnkara06530Turkey Institute of Space Sciences Magurele-BucharestR76900Romania Department of Medical Research China Medical UniversityTaichung40402Taiwan

The enhancement of medical images is a challenging research task due to the unforeseeable variation in the quality of the captured *** captured images may present with low contrast and low visibility,which might inuence the accuracy of the diagnosis *** overcome this problem,this paper presents a new fractional integral entropy(FITE)that estimates the unforeseeable probabilities of image pixels,posing as the main contribution of the *** proposed model dynamically enhances the image based on the image *** main advantage of FITE lies in its capability to enhance the low contrast intensities through pixels’***,the pixel probability of the fractional power is utilized to extract the illumination value from the pixels of the ***,the contrast of the image is then adjusted to enhance the regions with low ***,the fractional integral entropy approach is implemented to enhance the low visibility contents from the input *** were conducted on brain MRI,lungs CT,and kidney MRI scans datasets of different image qualities to show that the proposed model is robust and can withstand dramatic variations in *** obtained comparative results show that the proposed image enhancement model achieves the best BRISQUE and NIQE ***,this model improves the details of brain MRI,lungs CT,and kidney MRI scans,and could therefore potentially help the medical staff during the diagnosis process.

关键词： Fractional calculus image enhancement brain MRI lungs CT kidney MRI

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High Gain of UWB Planar Antenna Utilising FSS Reflector for UWB Applications

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Computers, Materials & Continua 2022年第1期70卷 1419-1436页

作者： Ahmed Jamal Abdullah al-Gburi Imran Bin Mohd ibrahim Zahriladha Zakaria Badrul Hisham Ahmad Noor Azwan Bin Shairi Mohammed Yousif Zeain Department of Electronics and Computer Engineering(FKEKK) Center for Telecommunication Research and Innovation(CeTRI)Universiti Teknikal Malaysia Melaka(UTeM)Durian TunggalMalaccaMalaysia

In this paper,a high gain and directional coplanarwaveguide(CPW)-fed ultra-wideband(UWB)planar antenna with a new frequency selective surface(FSS)unit cells design is proposed for UWB *** proposed UWB antenna was designed based on the Mercedes artistic-shaped planar(MAP)*** antenna consisted of a circular ring embedded with three straight legs for antenna impedance bandwidth *** modelled FSS used the integration of a two parallel conductive metallic patch with a circular loop *** FSS provided a UWB stopband filter response covering a bandwidth of 10.5 GHz,for frequencies from 2.2 to 12.7 *** proposed FSS had a compact physical dimension of 5 mm×5 mm×1.6 mm,with a printed array of 19×19 FSS unit *** FSS unit cells were printed on only one side of the dielectric FR4 substrate and placed as a sandwich between the antenna and the reflector ground *** equivalent circuit configuration(ECC)was used to verify the FSS unit cell structure’s *** simulated results indicated that the UWB MAP antenna and FSS reflector provided a fractional bandwidth of 136%and a high gain of 11.5 dB at 8.5 GHz with an acceptable radiation efficiency of 89%.Furthermore,the gain was improved across the operating band and kept between 8.3 and 11.5 *** proposed antenna was in good agreement between theoretical and experimental results and offered a wide enough bandwidth for UWB and vehicle applications.

关键词： UWB MAP antenna stable gain FSS reflector ECC stopband response reflection phase

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C1C2 Wiring and Posttraumatic Atlantoaxial Dislocation: An Effective and Cheap Surgical Procedure in a Developing Country

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Surgical Science 2024年第5期15卷 357-370页

作者： ibrahim Dao Massimiliano Visocchi Salah Sow John Jabang Ousmane Ouattara Astride Somda Abdoulaye Sanou Elie Dibloni Nassoum Arsène Tossou Narcisse Ouedraogo Frédéric Bako Massadiami Soulama Malick Diallo Patrick Wendpouiré Hamed Dakouré Department of Neurosurgery University Hospital Souro Sanou Nazi Boni University Bobo Dioulasso Burkina Faso High Institute of Health Sciences Nazi Boni University Bobo Dioulasso Burkina Faso Military Hospital Colonel Major Tanguet Ouattara Bobo Dioulasso Burkina Faso Institute of Neurosurgery Craniovertebral Junction Surgery Unit School of Medicine Catholic University Rome Italy Department of Radiology and Medical Imaging University Hospital Yalgado Ouedraogo Joseph Ki-Zerbo University Ouagadougou Burkina Faso Department of Neurosurgery (Unit) Edward Francis Small Teaching Hospital Banjul Gambia Department of Neurosurgery University Hospital Yalgado Ouedraogo Joseph Ki-Zerbo University Ouagadougou Burkina Faso Department of Neurosurgery Military Hospital Capitaine Halassane Coulibaly Ouagadougou Burkina Faso Department of Orthopedic Surgery University Hospital Souro Sanou Nazi Boni University Bobo Dioulasso Burkina Faso

Objectives: Atlantoaxial dislocation remains a rare and serious condition with a high preoperative and postoperative morbidity and mortality. Its successful surgical management is still challenging and gratifying for neurosurgeons. Several technics have been described such as wiring, trans articular screwing, C1C2 screwing with plate and screw introduced by Goel et al., and modified by insertion of polyaxially screw and rod many years later by Harms. Unavailability and expensiveness of upper cervical spine instrumentation device led us to C1C2 Wiring resulting in a good outcome. Finally, a quadriplegic patient with a more comfortable financial condition had ordered devices from abroad and benefit for Goel and Harms screwing technique and improved dramatically from ASIA A to ASIA E. Material and methods: This is a retrospective study of patients managed in our department by a same neurosurgeon from January 2019 to April 2024. Results: We defined 6 men and 1 woman with an average age of 33 years. Unrestrained driver in a rollover motor vehicle accident was most common. Only one patient was neurologically intact on admission. Neurovegetative disorders were noticed in one patient. Dislocation was associated to a fracture of the dens in two patients. Three patients have been successfully operated with remarkable outcome, mostly from ASIA A to E. Conclusion: C1C2 dislocation is a serious condition and C1C2 Wiring represents an effective and cheaper technic. Therefore, this technic should deserve consideration above all in low incomes countries when screwing devices are not available. Seatbelt should be demanded for motor vehicle drivers and passengers.

关键词： Superior Cervical Spine Dislocation Fracture Wiring Screwing Neurovegetative Disorders

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Preparation and Characterization of alkyd Resins Based on Citrullus colocynthis Seed Oil

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Journal of Renewable Materials 2018年第6期6卷 651-661页

作者： Hassen Mohamed Sbihi Hamid Shaikh Lahssen El Blidi Imed Arbi Nehdi Ubair Abdus Samad Moufida Romdhani-Younes Saud ibrahim al-Resayes King Saud University College of ScienceChemistry DepartmentP.O.Box 2454Riyadh 1145Saudi Arabia King Saud University Chemical Engineering DepartmentP.O.Box 800Riyadh 11421Saudi Arabia Laboratory of Structural Organic Chemistry Department of ChemistryFaculty of Sciences of TunisUniversity of Tunis El Manar2092TunisTunisia

In this study,different samples of alkyd resins based on Citrullus colocynthis seed oil(CCSO)—which has a high content of linoleic acid—were prepared as a renewable raw ***(I),medium(II),and long(III)alkyd resins were synthesized using oil,glycerol,and phthalic anhydride(PA)in different *** mahaleb seed oil(PMSO),which contains conjugated linolenic acid,was blended with CCSO in different proportions to examine the effect of PMSO on the film properties of alkyd resins(IV and V).all synthesized resins were characterized by FTIR and 1H NMR spectroscopic *** resins were also cured by an epoxy resin and their film properties(pencil hardness,adhesion,gloss,and chemical resistance)were *** of these alkyds reveals that CCSO can be used as a new potential raw material for coating applications.

关键词： Citrullus colocynthis seed oil Prunus mahalab seed oil alkyd resin alcoholysis-polyesterification renewability

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