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Burden of routine orthopedic implant removal a single center retrospective study

World Journal of Orthopedics 2024年第2期15卷 139-146页

作者： Ammar K AlOmran Nader Alosaimi ahmed A Alshaikhi Omar M Bakhurji Khalid J Alzahrani Basil Ziyad Salloot Tamim Omar Alabduladhem ahmed I AlMulhim Arwa Alumran Department of Orthopedic College of MedicineImam Abdulrahman Bin Faisal UniversityDammam 31441Saudi Arabia Health Information Management and Technology Department Imam Abdulrahman Bin Faisal UniversityDammam 31441Saudi Arabia

BACKGROUND Open reduction and internal fixation represent prevalent orthopedic procedures,sparking ongoing discourse over whether to retain or remove asymptomatic *** consensus on this matter is paramount for orthopedic *** study aims to quantify the impact of routine implant removal on patients and healthcare facilities.A retrospective analysis of implant removal cases from 2016 to 2022 at King fahad Hospital of the University(KFHU)was conducted and subjected to statistical *** these cases,44%necessitated hospitalization exceeding one day,while 56%required only a single *** exhibited a 55%need for extended hospital stays,contrasting with 22.8%among the pediatric *** complication rate was 6%,with all patients experiencing at least one ***,34.1%required sick leave and 4.8%exceeded 14 *** anesthesia was predominant(88%).Routine implant removal introduces unwarranted complications,particularly in adults,potentially prolonging *** procedure strains hospital resources,tying up the operating room that could otherwise accommodate critical *** defined institutional guidelines are imperative to regulate this *** To measure the burden of routine implant removal on the patients and *** This is a retrospective analysis study of 167 routine implant removal cases treated at KFHU,a tertiary hospital in Saudi *** were collected in the orthopedic department at KFHU from February 2016 to August 2022,which includes routine asymptomatic implant removal cases across all age *** indications such as infection,pain,implant failure,malunion,nonunion,restricted range of motion,and prominent hardware were *** who had external fixators removed or joints replaced were also *** Between February 2016 and August 2022,360 implants were retrieved;however,only 167 of those who met the inclusion criteria were included in this

关键词： Implant removal Healed fracture Orthopedic implant Complications Healthcare system

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Spinal dural arteriovenous fistula:a comprehensive review of the history,classification systems,management,and prognosis

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Chinese Neurosurgical Journal 2024年第1期10卷 48-56页

作者： Ali Alkhaibary Ahoud Alharbi Nada Alnefaie Hajar Alammar Alshaymaa M.Arishy Noor Alghanim Yazeed M.Aldhfyan Arwa Albaiahy Yahya H.Khormi Wael Alshaya Saad AlQahatani ahmed Aloraidi ahmed Alkhani Sami Khairy College of Medicine King Saud Bin Abdulaziz University for Health SciencesRiyadhSaudi Arabia King Abdullah International Medical Research Center RiyadhSaudi Arabia Division of Neurosurgery Department of SurgeryKing Abdulaziz Medical CityMinistry of National Guard-Health AffairsRiyadhSaudi Arabia Department of Neurosurgery National Neurosciences InstituteKing Fahad Medical CityRiyadhSaudi Arabia College of Medicine Jazan UniversityJazanSaudi Arabia Department of Neurosurgery King Faisal Specialist Hospital and Research CenterRiyadhSaudi Arabia Department of Surgery Faculty of MedicineJazan UniversityJazanSaudi Arabia

Spinal dural arteriovenous fistulas account for the majority of spinal vascular *** are typically located in the thoracolumbar region and are diagnosed in the middle-aged and elderly *** spinal dural arteriovenous fistulas have been postulated to be acquired,their exact development remains ***,the arteriovenous shunt is situated close to the spinal nerve root,inside the dura mater,where the blood from the radiculomeningeal artery and radicular vein *** history,there have been multiple classification systems of spinal arteriovenous shunts since *** were mainly based on the evolution of diagnostic studies as well as the treatment of these *** classification systems have undergone significant changes over the *** intracranial dural arteriovenous fistula,spinal dural arteriovenous fistula is progressive in *** neurological manifestations,due to venous congestion,tend to be insidious as well as *** include sensory deficits,such as paresthesia,bilateral and/or unilateral radicular pain affecting the lower limbs,and gait *** dural arteriovenous fistulas can be suspected on magnetic resonance imaging/magnetic resonance angiography and confirmed by digital subtraction angiography(DSA).The management includes surgery,endovascular therapy,and in selected cases,*** treatment goal of spinal dural arteriovenous fistula is to halt the progression of the *** prognosis depends on both the duration of symptoms as well as the clinical condition prior to *** present article comprehensively reviews the pathophysiology,changes in classification systems,natural history,clinical manifestations,radiological features,management,and prognosis.

关键词： Connection Endovascular Myelopathy Vascular

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A Mutual Authentication and Cross Verification Protocol for Securing Internet-of-Drones (IoD)

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Computers, Materials & Continua 2022年第9期72卷 5845-5869页

作者： Saeed Ullah Jan Irshad ahmed Abbasi fahad Algarni Department of Computer Science&IT University of MalakandChakadara18800Pakistan Faculty of Science&Arts Belqarn Department of Computer ScienceUniversity of BishaSabtul Alaya 61985Saudi Arabia Faculty of Computing and Information Technology University of BishaBisha 67714Saudi Arabia

With the rapid miniaturization in sensor technology,Internet-ofDrones(IoD)has delighted researchers towards information transmission security among drones with the control station server(CSS).In IoD,the drone is different in shapes,sizes,characteristics,and *** can be classified on the purpose of its deployment,either in the civilian or military ***’s manufacturing,equipment installation,power supply,multi-rotor system,and embedded sensors are not issues for *** main thing is to utilize a drone for a complex and sensitive task using an infrastructureless/self-organization/resource-less network type called Flying Ad Hoc Network(FANET).Monitoring data transmission traffic,emergency and rescue operations,border surveillance,search and physical phenomenon sensing,and so on can be achieved by developing a robust mutual authentication and cross-verification scheme for IoD deployment civilian *** several protocols are available in the literature,they are either design issues or suffering from other vulnerabilities;still,no one claims with conviction about foolproof security ***,in this paper,the researchers highlighted the major deficits in prior protocols of the domain,i.e.,these protocols are either vulnerable to forgery,side channel,stolen-verifier attacks,or raised the outdated data transmission *** order to overcome these loopholes and provide a solution to the existing vulnerabilities,this paper proposed an improved and robust public key infrastructure(PKI)based authentication scheme for the IoD *** proposed protocol’s security analysis section has been conducted formally using BAN(Burrows-Abadi-Needham)logic,ProVerif2.03 simulation,and informally using discussion/pragmatic *** the performance analysis section of the paper has been assessed by considering storage,computation,and communication *** comparing the proposed protocol with prior works,it has been demonstrate

关键词： Cryptography authentication confidentiality reachability ZSP

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An Optimal Method for Speech Recognition Based on Neural Network

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Intelligent Automation & Soft Computing 2023年第5期36卷 1951-1961页

作者： Mohamad Khairi Ishak DagØivind Madsen fahad ahmed Al-Zahrani School of Electrical and Electronic Engineering Universiti Sains MalaysiaNibong Tebal14300Malaysia University of South-Eastern Norway Bredalsveien 143511HønefossNorway Computer Engineering Department Umm Al-Qura UniversityMecca24381Saudi Arabia

Natural language processing technologies have become more widely available in recent years,making them more useful in everyday *** learning systems that employ accessible datasets and corporate work to serve the whole spectrum of problems addressed in computational linguistics have lately yielded a number of promising *** methods were particularly advantageous for regional languages,as they were provided with cut-ting-edge language processing tools as soon as the requisite corporate information was *** bulk of modern people are unconcerned about the importance of *** aloud,on the other hand,is an effective technique for nour-ishing feelings as well as a necessary skill in the learning *** paper pro-posed a novel approach for speech recognition based on neural *** attention mechanism isﬁrst utilized to determine the speech accuracy andﬂuency assessments,with the spectrum map as the feature extraction *** increase phoneme identiﬁcation accuracy,reading precision,for example,employs a new type of deep *** makes use of the exportchapter tool,which provides a corpus,as well as the TensorFlow framework in the experimental *** experimentalﬁndings reveal that the suggested model can more effectively assess spoken speech accuracy and readingﬂuency than the old model,and its evalua-tion model’s score outcomes are more accurate.

关键词： Machine learning neural networks speech recognition signal processing learning process ﬂuency and accuracy

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Improving TC drill bit's efficiency and resistance to wear by graphene coating

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Petroleum Research 2022年第4期7卷 430-436页

作者： Reza Taheri mohsen Jalali ahmed Al-Yaseri George Yabesh Petroleum Engineering Department University of WyomingWYUSA Petroleum Engineering Department Tehran Azad UniversityTehranIran Petroleum Engineering Discipline Engineering SchoolEdith Cowan UniversityAustralia

Displaying a two-dimensional pure crystal carbon structure,Graphene is the strongest,yet thinnest substance discovered by *** tungsten carbide(TC)drill bits with graphene to evaluate the effect of graphene on the wear,as well as the rate of penetration of the drilling bit was examined in this *** evaluation approaches were employed:one with employing ANSYS Software and the second by employing atomic pressure chemical vapor deposition(APCVD synthesis)in the laboratory to produce a monolayer graphene *** simultaneous software-based and lab-based testing were performed to increase the credibility of the results and minimize the potential *** the simulation using ANSYS,the maximum shear elastic strain,equivalent elastic strain,equivalent(von mises)stress,total deformation and maximum shear stress were investigated prior and after the gra-phene coating was applied on TC simulated *** deformation was only slightly increased,while the maximum shear elastic strain was almost doubled,reflecting that the bit's wear was significantly reduced after the ***-based APCVD synthesis results showed 34%increase in compressive strength of the coated bit,in comparison to the uncoated *** failure occurred for uncoated bit at 35 MPa,where the coated bit experienced failure at 46.9 *** Von Mises stress test conducted on the coated and uncoated samples also indicated that this stress was 41%less for the coated bit,in comparison to the uncoated ***,two small-scale drilling operations,one using a 1inch graphene-coated TC bit and the other using a 1inch non-coated TC bit,were performed on a granite block,to evaluate the performance of the graphene-coated bit in *** a chosen 120-min time frame,27 consecutive holes could be drilled by the graphene-coated TC bit,while 19 consecutive holes could be drilled by the uncoated TC bit,in identical drilling *** implies a 42%increase in ROP.

关键词： Drill bit's efficiency Graphene-coated ANSYS APCVD Wear reduction Penetration rate

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EJUSTCO:Monte Carlo radiation transport code hybrid with ANN model for gamma-ray shielding simulation

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Nuclear Science and Techniques 2023年第9期34卷 155-176页

作者： Joseph Konadu Boahen ahmed S.G.Khalil mohsen A.Hassan Samir A.Elsagheer Mohamed Materials Science and Engineering Department School of Innovative Design EngineeringEgypt-Japan University of Science and Technology(E-JUST)179New Borg El-Arab CityEgypt Physics Department Environmental and Smart Technology GroupFaculty of ScienceFayoum UniversityFayoum 63514Egypt Faculty of Engineering Aswan UniversityAswanEgypt

Gamma ray shielding is essential to ensure the safety of personnel and equipment in facilities and environments where radiation *** Monte Carlo technique is vital for analyzing the gamma-ray shielding capabilities of *** this study,a simple Monte Carlo code,EJUSTCO,is developed to cd simulate gamma radiation transport in shielding materials for academic *** code considers the photoelectric effect,Compton(incoherent)scattering,pair production,and photon annihilation as the dominant interaction mechanisms in the gamma radiation shielding *** reduction techniques,such as the Russian roulette,survival weighting,and exponential transformation,are incorporated into the code to improve computational *** the exponential transformation parameter typically requires trial and error as well as ***,a deep learning neural network is proposed as a viable method for predicting this parameter for the first *** model achieves an MSE of 0.00076752 and an R-value of *** exposure buildup factors and radiation dose rates due to the passage of gamma radiation with different source energies and varying thicknesses of lead,water,iron,concrete,and aluminum in single-,double-,and triple-layer material systems are validated by comparing the results with those of MCNP,ESG,ANS-6.4.3,MCBLD,MONTEREY MARK(M),PENELOPE,and *** errors of 5.6%,2.75%,and 10%are achieved for the exposure buildup factor in single-,double-,and triple-layer materials,respectively.A significant parameter that is not considered in similar studies is the gamma ray *** the EJUSTCO code,the total number and energy albedos have been *** results are compared with those of MCNP,FOTELP,and *** general,the EJUSTCO-developed code can be employed to assess the performance of radiation shielding materials because the validation results are consistent with theoretical,experimental,and literary results.

关键词： Monte Carlo Gamma rays Shielding Artificial neural network Simulation

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Review of heart transplantation from hepatitis C-positive donors

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World Journal of Transplantation 2022年第12期12卷 394-404页

作者： Palak Patel Nirav Patel fahad ahmed Jason Gluck Department of Cardiology West Roxbury VA CenterWest RoxburyMA 02132United States Department of Cardiology University of ConnecticutHarford HospitalHartfordCT 06102United States Department of Cardiology University of CaliforniaCA 90065United States Department of Internal Medicine Hartford HospitalHartfordCT 06106United States Advanced Heart Failure Hartford HospitalHartfordCT 06102United States

Significant scarcity of a donor pool exists for heart transplantation(HT)as the prevalence of patients with end-stage refractory heart failure is increasing *** the discovery of effective direct-acting antiviral and favorable short-term outcomes following HT,the hearts from hepatitis C virus(HCV)patient are being utilized to increase the donor ***-term outcomes with regards to graft function,coronary artery vasculopathy,and kidney and liver disease is comparable in HCV-negative recipients undergoing HT from HCVpositive donors compared to HCV-negative donors.A significant high incidence of donor-derived HCV transmission was observed with great success of achieving sustained viral response with the use of direct-acting *** accepting HCV-positive organs,the donor pool has expanded with younger donors,a shorter waitlist time,and a reduction in waitlist ***,the longterm outcomes and impact of specific HCV genotypes remains to be *** reviewed the current literature on HT from HCV-positive donors.

关键词： Heart transplant Hepatitis C-positive donors Direct-acting antiviral Coronary allograft vasculopathy Allograft rejection

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Detection of Different Stages of Alzheimer’s Disease Using CNN Classifier

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Computers, Materials & Continua 2023年第9期76卷 3933-3948页

作者： S M Hasan Mahmud Md Mamun Ali Mohammad Fahim Shahriar fahad ahmed Al-Zahrani Kawsar ahmed Dip Nandi Francis M.Bui Department of Computer Science American International University-Bangladesh(AIUB)Dhaka1229Bangladesh Centre for Advanced Machine Learning and Applications(CAMLAs) DhakaBangladesh Department of Software Engineering Daffodil International UniversityDhakaBangladesh Department of Computer Engineering Umm Al-Qura UniversityMecca24381Saudi Arabia Department of ECE University of SaskatchewanSaskatoonSK S7N5A9Canada Group of Biophotomatiχ Department of ICTMBSTUSantoshTangail1902Bangladesh

Alzheimer’s disease(AD)is a neurodevelopmental impairment that results in a person’s behavior,thinking,and memory *** common symptoms ofADare losingmemory and early *** addition to these,there are several serious impacts ***,the impact ofADcanbemitigatedby early-stagedetection though it cannot be cured ***-stage detection is the most challenging task for controlling and mitigating the impact of *** study proposes a predictive model to detect AD in the initial phase based on machine learning and a deep learning approach to address the *** build a predictive model,open-source data was collected where five stages of images of AD were available as Cognitive Normal(CN),Early Mild Cognitive Impairment(EMCI),Mild Cognitive Impairment(MCI),Late Mild Cognitive Impairment(LMCI),and *** stage of AD is considered as a class,and then the dataset was divided into three parts binary class,three class,and five *** this research,we applied different preprocessing steps with augmentation techniques to efficiently *** integrates a random oversampling technique to handle the imbalance problem from target classes,mitigating the model overfitting and *** three machine learning classifiers,such as random forest(RF),K-Nearest neighbor(KNN),and support vector machine(SVM),and two deep learning methods,such as convolutional neuronal network(CNN)and artificial neural network(ANN)were applied on these *** analyzing the performance of the used models and the datasets,it is found that CNN with binary class outperformed 88.20%*** result of the study indicates that the model is highly potential to detect AD in the initial phase.

关键词： Alzheimer’s disease early detection convolutional neural network data augmentation random oversampling machine learning

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Efficiency Performances of LVDC Supplies for Residential Building

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Computer Systems Science & Engineering 2023年第5期45卷 2171-2186页

作者： Anis Ammous Ammar Alsaedi ahmed N.M.Alahmadi fahad Alharbi Kaiçar Ammous Department of Electrical Engineering College of Engineering and Islamic ArchitectureUmm Al Qura UniversityMakkahKSA

The Low Voltage Direct Current(LVDC)architecture gives higher benefits over the classic low-voltage alternating current(LVAC)supply *** has fewer energy conversion stages,is compatible with renewable energy sources,and is easier to integrate with *** this paper,an LVDC supply concept is proposed and compared with currently used conventional photovoltaic(PV)systems in terms of *** new LVDC photovoltaic system behavior is validated using LTspice modeling *** findings of this work prove that the concept of LVDC supply is highly attractive when the electricity produced by the photovoltaic is used onsite in the *** carry out an efficient system,the PV power mounted in the houses should be precisely rated with respect to the magnitude of the load energy *** proposed three house examples to verify the superiority of our proposed system in comparison with the traditional LVDC PV *** annual analysis of the energy saved by the studied systems was carried *** main benefit of the suggested LVDC supply is the short way taken by the energy generated by the photovoltaic system to supply DC loads within daytime *** registered increase in system efficiency reached more than 20%for the proposed LVDC system.

关键词： Sustainable energy energy saving power conversion solar PV system

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Early-Stage Cervical Cancerous Cell Detection from Cervix Images Using YOLOv5

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Computers, Materials & Continua 2023年第2期74卷 3727-3741页

作者： Md Zahid Hasan Ontor Md Mamun Ali Kawsar ahmed Francis M.Bui fahad ahmed Al-Zahrani S.M.Hasan Mahmud Sami Azam Department of Software Engineering(SWE) Daffodil International University(DIU)SukrabadDhaka1207Bangladesh Group of Biophotomatiχ Department of Information and Communication TechnologyMawlana Bhashani Science and Technology UniversitySantoshTangail1902Bangladesh Department of Electrical and Computer Engineering University of Saskatchewan57 Campus DriveSaskatoonS7N5A9SKCanada Computer Engineering Department Umm Al-Qura UniversityMecca24381Saudi Arabia Department of Computer Science American International University-Bangladesh(AIUB)KuratoliDhaka1229Bangladesh College of Engineering IT and EnvironmentCharles Darwin UniversityCasuarina0909NTAustralia

Cervical Cancer(CC)is a rapidly growing disease among women throughout the world,especially in developed and developing *** this many women have ***,it is curable if it can be diagnosed and detected at an early stage and taken proper *** the high cost,awareness,highly equipped diagnosis environment,and availability of screening tests is a major barrier to participating in screening or clinical test diagnoses to detect CC at an early *** solve this issue,the study focuses on building a deep learning-based automated system to diagnose CC in the early stage using cervix cell *** system is designed using the YOLOv5(You Only Look Once Version 5)model,which is a deep learning *** build the model,cervical cancer pap-smear test image datasets were collected from an open-source repository and these were labeled and *** the YOLOv5 models were applied to the labeled dataset to train the *** versions of the YOLOv5 model were applied in this study to find the best fit model for building the automated system to diagnose CC at an early *** of the model’s variations performed *** model can effectively detect cervical cancerous cell,according to the findings of the *** the medical field,our study will be quite *** can be a good option for radiologists and help them make the best selections possible.

关键词： Cervical cancer pap-smear deep learning cancerous cell YOLOv5 model

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