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Pulmonary Diseases Decision Support System Using Deep Learning Approach

Computers, Materials & Continua 2022年第10期73卷 311-326页

作者： yazan al-issa ali Mohammad alqudah Hiam alquran Ahmed al issa Department of Computer Engineering Yarmouk UniversityIrbid21163Jordan Department of Biomedical Systems and Informatics Engineering Yarmouk UniversityIrbid21163Jordan Department of Biomedical Engineering Jordan University of Science and TechnologyIrbid 22110Jordan Pediatrician Mediclinic HospitalAl Ain14444UAE

Pulmonary diseases are common throughout the world,especially in developing *** diseases include chronic obstructive pulmonary diseases,pneumonia,asthma,tuberculosis,fibrosis,and recently *** general,pulmonary diseases have a similar footprint on chest radiographs which makes them difficult to discriminate even for expert *** recent years,many image processing techniques and artificial intelligence models have been developed to quickly and accurately diagnose lung *** this paper,the performance of four popular pretrained models(namely VGG16,DenseNet201,DarkNet19,and XceptionNet)in distinguishing between different pulmonary diseases was *** the best of our knowledge,this is the first published study to ever attempt to distinguish all four cases normal,pneumonia,COVID-19 and lung opacity from ChestX-Ray(CXR)*** models were trained using Chest-X-Ray(CXR)images,and statistically tested using 5-fold cross *** individual models,XceptionNet outperformed all other models with a 94.775%accuracy and Area Under the Curve(AUC)of Receiver Operating Characteristic(ROC)of 99.84%.On the other hand,DarkNet19 represents a good compromise between accuracy,fast convergence,resource utilization,and near real time detection(0.33 s).Using a collection of models,the 97.79%accuracy achieved by Ensemble Features was the highest among all surveyed methods,but it takes the longest time to predict an image(5.68 s).An efficient effective decision support system can be developed using one of those approaches to assist radiologists in the field make the right assessment in terms of accuracy and prediction time,such a dependable system can be used in rural areas and various healthcare sectors.

关键词： Pulmonary diseases deep learning lung opacity classification majority voting ensemble features

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Cervical Cancer Classification Using Combined Machine Learning and Deep Learning Approach

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Computers, Materials & Continua 2022年第9期72卷 5117-5134页

作者： Hiam alquran Wan Azani Mustafa Isam Abu Qasmieh Yasmeen Mohd Yacob Mohammed alsalatie yazan al-issa ali Mohammad alqudah Department of Biomedical Engineering Jordan University of Science and TechnologyIrbid22110Jordan Department of Biomedical Systems and Informatics Engineering Yarmouk University 556Irbid21163Jordan Faculty of Electrical Engineering Technology Campus Pauh PutraUniversiti Malaysia Perlis02000ArauPerlisMalaysia Advanced Computing Centre of Excellence(CoE)Universiti Malaysia Perlis(UniMAP)02000ArauPerlisMalaysia The Institute of Biomedical Technology King Hussein Medical CenterRoyal Jordanian Medical ServiceAmman11855Jordan Department of Computer Engineering Yarmouk UniversityIrbid21163Jordan

Cervical cancer is screened by pap smear methodology for detection and classification *** smear images of the cervical region are employed to detect and classify the abnormality of cervical *** this paper,we proposed the first system that it ables to classify the pap smear images into a seven classes *** smear images are exploited to design a computer-aided diagnoses system to classify the abnormality in cervical images *** features that have been extracted using ResNet101 are employed to discriminate seven classes of images in Support Vector Machine(SVM)*** success of this proposed system in distinguishing between the levels of normal cases with 100%accuracy and 100%*** top of that,it can distinguish between normal and abnormal cases with an accuracy of 100%.The high level of abnormality is then studied and classified with a high *** the other hand,the low level of abnormality is studied separately and classified into two classes,mild and moderate dysplasia,with∼92%*** proposed system is a built-in cascading manner with five models of polynomial(SVM)*** overall accuracy in training for all cases is 100%,while the overall test for all seven classes is around 92%in the test phase and overall accuracy reaches 97.3%.The proposed system facilitates the process of detection and classification of cervical cells in pap smear images and leads to early diagnosis of cervical cancer,which may lead to an increase in the survival rate in women.

关键词： Classification deep learning machine learning pap smear images resnet101 support vector machines

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Liver Tumor Decision Support System on Human Magnetic Resonance Images:A Comparative Study

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Computer Systems Science & Engineering 2023年第8期46卷 1653-1671页

作者： Hiam alquran yazan al-issa Mohammed alslatie Isam Abu-Qasmieh Amin alqudah Wan Azani Mustafa Yasmin Mohd Yacob Department of Biomedical Systems and Informatics Engineering Yarmouk University 556Irbid21163Jordan Department of Biomedical Engineering Jordan University of Science and TechnologyIrbid22110Jordan Department of Computer Engineering Yarmouk University 556Irbid21163Jordan The of Biomedical Technology King Hussein Medical CenterRoyal Jordanian Medical ServiceAmman11855Jordan Faculty of Electrical Engineering&Technology Campus Pauh PutraUniversiti Malaysia PerlisArau02600PerlisMalaysia Faculty of Electronic Engineering&Technology Campus Pauh PutraUniversiti Malaysia PerlisArau02600PerlisMalaysia Advanced Computing Centre of Excellence(CoE)Universiti Malaysia PerlisArau02600PerlisMalaysia

Liver cancer is the second leading cause of cancer death *** tumor detection may help identify suitable treatment and increase the survival *** imaging is a non-invasive tool that can help uncover abnormalities in human *** Resonance Imaging(MRI),in particular,uses magnetic fields and radio waves to differentiate internal human organs ***,the interpretation of medical images requires the subjective expertise of a radiologist and ***,building an automated diagnosis computer-based system can help specialists reduce incorrect *** paper proposes a hybrid automated system to compare the performance of 3D features and 2D features in classifying magnetic resonance liver tumor *** paper proposed two models;the first one employed the 3D features while the second exploited the 2D *** first system uses 3D texture attributes,3D shape features,and 3D graphical deep descriptors beside an ensemble classifier to differentiate between four 3D tumor *** top of that,the proposed method is applied to 2D slices for comparison *** proposed approach attained 100%accuracy in discriminating between all types of tumors,100%Area Under the Curve(AUC),100%sensitivity,and 100%specificity and precision as well in 3D liver *** the other hand,the performance is lower in 2D *** maximum accuracy reached 96.4%for two classes and 92.1%for four *** top-class performance of the proposed system can be attributed to the exploitation of various types of feature selection methods besides utilizing the ReliefF features selection technique to choose the most relevant features associated with different *** novelty of this work appeared in building a highly accurate system under specific circumstances without any processing for the images and human input,besides comparing the performance between 2D and 3D *** the future,the presented work can be extended to be

关键词： Liver tumors ensemble classifier 3D shape features 3D cooccurrence matrix ResNet101

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Influence of Vertical Irregularity on the Seismic Behavior of Base Isolated RC Structures with Lead Rubber Bearings under Pulse-Like Earthquakes

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Structural Durability & Health Monitoring 2023年第6期17卷 501-519页

作者： ali Mahamied Amjad AYasin yazan alzubi Jamal al Adwan issa Mahamied Civil Engineering Department Faculty of Engineering TechnologyAl-Balqa Applied UniversityAmman11134Jordan Civil Engineering Department Faculty of EngineeringThe University of JordanAmman11134Jordan

Nowadays,an extensive number of studies related to the performance of base isolation systems implemented in regular reinforced concrete structures subjected to various types of earthquakes can be found in the *** the other hand,investigations regarding the irregular base-isolated reinforced concrete structures’performance when subjected to pulse-like earthquakes are very *** severity of pulse-like earthquakes emerges from their ability to destabilize the base-isolated structure by remarkably increasing the displacement ***,this study is intended to investigate the effects of pulse-like earthquake characteristics on the behavior of low-rise irregular base-isolated reinforced concrete *** the study scope,investigations related to the impact of the pulse-like earthquake characteristics,irregularity type,and isolator properties will be *** do so,different values of damping ratios of the base isolation system were selected to investigate the efficiency of the lead rubber-bearing *** general,the outcomes of the study have shown the significance of vertical irregularity on the performance of base-isolated structures and the considerable effect of pulse-like ground motions on the buildings’behavior.

关键词： Reinforced concrete low-rise structure vertical irregularity the influence of pulse-like earthquake characteristics lead rubber bearing isolators nonlinear response history analysis

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Inflammasome links traumatic brain injury, chronic traumatic encephalopathy, and alzheimer's disease

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Neural Regeneration Research 2025年第6期20卷 1644-1664页

作者： Gabriela Seplovich yazan Bouchi Juan Pablo de Rivero Vaccari Jennifer C.Munoz Pareja Andrew Reisner Laura Blackwell Yehia Mechref Kevin K.Wang J.Adrian Tyndall Binu Tharakan Firas Kobeissy Department of Surgery Morehouse School of MedicineAtlantaGAUSA Department of Neurobiology Center for NeurotraumaMultiomics&Biomarkers(CNMB)Neuroscience InstituteMorehouse School of MedicineAtlantaGAUSA Department of Neurological Surgery and the Miami Project to Cure Paralysis University of Miami Miller School of MedicineMiamiFLUSA Division of Pediatric Critical Care Department of PediatricsUniversity of Miami Miller School of MedicineMiamiFLUSA Department of Pediatrics Emory UniversityAtlantaGAUSA Department of Neurosurgery Children’s Healthcare of AtlantaAtlantaGAUSA Department of Chemistry and Biochemistry Texas Tech UniversityLubbockTXUSA Morehouse School of Medicine AtlantaGAUSA

Traumatic brain injury, chronic traumatic encephalopathy, and alzheimer's disease are three distinct neurological disorders that share common pathophysiological mechanisms involving neuroinflammation. One sequela of neuroinflammation includes the pathologic hyperphosphorylation of tau protein, an endogenous microtubule-associated protein that protects the integrity of neuronal cytoskeletons. Tau hyperphosphorylation results in protein misfolding and subsequent accumulation of tau tangles forming neurotoxic aggregates. These misfolded proteins are characteristic of traumatic brain injury, chronic traumatic encephalopathy, and alzheimer's disease and can lead to downstream neuroinflammatory processes, including assembly and activation of the inflammasome complex. Inflammasomes refer to a family of multimeric protein units that, upon activation, release a cascade of signaling molecules resulting in caspase-induced cell death and inflammation mediated by the release of interleukin-1β cytokine. One specific inflammasome, the NOD-like receptor protein 3, has been proposed to be a key regulator of tau phosphorylation where it has been shown that prolonged NOD-like receptor protein 3 activation acts as a causal factor in pathological tau accumulation and spreading. This review begins by describing the epidemiology and pathophysiology of traumatic brain injury, chronic traumatic encephalopathy, and alzheimer's disease. Next, we highlight neuroinflammation as an overriding theme and discuss the role of the NOD-like receptor protein 3 inflammasome in the formation of tau deposits and how such tauopathic entities spread throughout the brain. We then propose a novel framework linking traumatic brain injury, chronic traumatic encephalopathy, and alzheimer's disease as inflammasomedependent pathologies that exist along a temporal continuum. Finally, we discuss potential therapeutic targets that may intercept this pathway and ultimately minimize long-term neurological decline.

关键词： alzheimer's disease caspase-1 chronic traumatic encephalopathy inflammasomes neurodegeneration neuroinflammation NLRP1 NLRP3 pyroptosis tauopathy traumatic brain injury

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Genetic algorithm Routing Protocol for Mobile Ad Hoc Network

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Computers, Materials & Continua 2021年第7期68卷 941-960页

作者： Raed alsaqour Saif Kamal Maha Abdelhaq yazan al Jeroudi Department of Information Technology College of Computing and InformaticsSaudi Electronic University93499RiyadhSaudi Arabia Department of Computer Technology Engineering Iraq University College(IUC)BasraIraq Department of Information Technology College of Computer and Information SciencesPrincess Nourah bint Abdulrahman University84428RiyadhSaudi Arabia Department of Mechanical Engineering International Islamic University MalaysiaJalan Gombak53100SelangorMalaysia

Mobile ad hoc network(MANET)is a dynamically reconfigurable wireless network with time-variable *** that nodes are highly mobile,MANET’s topology often *** changes increase the difficulty in finding the routes that the packets use when they are *** study proposes an algorithm called genetic algorithm-based location-aided routing(GalAR)to enhance the MANET routing protocol *** GalAR algorithm maintains an adaptive update of the node location information by adding the transmitting node location information to the routing packet and selecting the transmitting node to carry the packets to their *** GalAR was constructed based on a genetic optimization scheme that considers all contributing factors in the delivery behavior using criterion function *** results showed that the GalAR algorithm can make the probability of packet delivery ratio more than 99%with less network ***,GalAR was compared to other algorithms in terms of different network evaluation *** GalAR algorithm significantly outperformed the other algorithms that were used in the study.

关键词： Mobile ad hoc network location-aided routing protocol location information genetic algorithm

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Advances in upper limb loss rehabilitation:the role of targeted muscle reinnervation and regenerative peripheral nerve interfaces

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Plastic and Aesthetic Research 2022年第1期9卷 1-13页

作者： yazan al-Ajam alexander Woollard Norbert Kang Plastic and Reconstructive Surgery Royal Free London NHS Foundation TrustPond Street LondonLondon NW32QGUnited Kingdom

Upper limb loss results in significant physical and psychological impairment and is a major financial burden for both patients and healthcare *** myoelectric prostheses rely on electromyographic(EMG)signals captured using surface electrodes placed directly over antagonistic muscles in the residual stump to drive a single degree of freedom in the prosthetic limb(e.g.,hand open and close).In the absence of the appropriate muscle groups,patients rely on activation of biceps/triceps muscles alone(together with a mode switch)to control all degrees of freedom of the *** is a non-physiological method of control since it is non-intuitive and contributes poorly to daily *** leads to the high rate of prosthetic *** muscle reinnervation(TMR)reroutes the ends of nerves in the amputation stump to nerves innervating“spare”muscles in the amputation stump or chest *** then become proxies for the missing muscles in the amputated *** has revolutionised prosthetic control,especially for high-level amputees(e.g.,after shoulder disarticulation),resulting in more intuitive,fluid control of the *** can also reduce the intensity of symptoms such as neuroma and phantom limb *** peripheral nerve interface(RPNI)is another technique for increasing the number of control signals without the limitations of finding suitable target muscles imposed by *** involves wrapping a block of muscle around the free nerve ending,providing the regenerating axons with a target organ for *** RPNIs act as signal amplifiers of the previously severed nerves and their EMG signals can be used to control prosthetic *** can also reduce neuroma and phantom limb *** this review article,we discuss the surgical technique of TMR and RPNI and present outcomes from our experience with TMR.

关键词： Targeted muscle reinnervation regenerative peripheral nerve interface myoelectric prosthetic control neuroma pain phantom limb pain amputation

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Comparative evaluation of urolithiasis management options in patients with horseshoe kidney:A systematic review and meta-analysis

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Current Urology 2023年第3期17卷 193-205页

作者： yazan Qaoud Merella al Tali Fiona Boland Andrew Simpson Niall Davis Department of Surgery Royal College of Surgeons in Ireland(RCSI)DublinD02 YN77Ireland Data Science Centre Royal College of Surgeons in Ireland(RCSI)DublinIreland RCSI Library Royal College of Surgeons in Ireland(RCSI)DublinIreland

Background:Horseshoe kidney is a rare congenital anomaly commonly complicated by *** shockwave lithotripsy(ESWL),ureteroscopy(URS),and percutaneous nephrolithotomy(PCNL)are treatment options for horseshoe kidney *** aim of this systematic review is to compare the benefits and risks of these management ***:MEDLINE,EMBASE,and Cochrane Library databases were searched from inception to February 2022.A total of 516 nonduplicate studies were screened against the inclusion and exclusion *** comparing at least 2 interventions with>10 patients per intervention were ***:Nine retrospective observational studies published from 2007 to 2021 with a total of 565 patients were *** mean±SD or mean(range)stone sizes ranged between 17.90±2.43 mm and 27.9±8.6 mm for PCNL,8.4(2-25)mm and 22.3±9.1 mm for URS,and 11.9±2.0 mm and 16.8±4.4 mm for *** was no difference in single-session and overall stone-free rate(SFR)between PCNL and URS,with a risk ratio of 1.04(95%confidence interval,0.95-1.13;I2=20.63%).Ureteroscopy had better stone clearance than ESWL,with an overall SFR risk ratio of1.38(95%confidence interval,1.04-1.82;I2=0%).There was no statistically significant difference in overall SFR between PCNL and *** patients who underwent URS and ESWL experienced Clavien-Dindo(CD)gradeⅠ-Ⅱ*** nephrolithotomy was associated with the highest complication rates,including 5 CD gradeⅢand 3 CD gradeⅣcomplications and a mean postoperative hemoglobin drop of 0.47 to 1.83 g/*** were no CD grade V complications across all ***:There was no difference in SFR between PCNL and *** was associated with a smaller stone burden and fewer and less severe *** was found to be more effective than ESWL with a higher SFR and comparable safety *** large-scale randomized controlled trials are needed to confirm these findings.

关键词： Horseshoe kidney Conjoined kidneys Kidney stones Extracorporeal shockwave lithotripsy Percutaneous nephrolithotomy Ureteroscopy

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Big Data Bot with a Special Reference to Bioinformatics

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Computers, Materials & Continua 2023年第5期75卷 4155-4173页

作者： Ahmad M.al-Omari Shefa M.Tawalbeh yazan H.Akkam Mohammad al-Tawalbeh Shima’a Younis Abdullah A.Mustafa Jonathan Arnold Biomedical Systems and Informatics Engineering Department Yarmouk UniversityIrbid21163Jordan Department of Medicinal Chemistry and Pharmacognosy Yarmouk UniversityIrbid21163Jordan Department of Electrical Computer and Software EngineeringUniversity of Ontario Institute of TechnologyOshawaL1H7K4Canada Department of Mechanical Engineering University of MosulMosul41001Iraq Genetics Department University of GeorgiaAthens30602GAUSA

There are quintillions of data on deoxyribonucleic acid(DNA)and protein in publicly accessible data banks,and that number is expanding at an exponential *** scientific fields,such as bioinformatics and drug discovery,rely on such data;nevertheless,gathering and extracting data from these resources is a tough *** data should go through several processes,including mining,data processing,analysis,and *** study proposes software that extracts data from big data repositories automatically and with the particular ability to repeat data extraction phases as many times as needed without human *** software simulates the extraction of data from web-based(point-and-click)resources or graphical user interfaces that cannot be accessed using command-line *** software was evaluated by creating a novel database of 34 parameters for 1360 physicochemical properties of antimicrobial peptides(AMP)sequences(46240 hits)from various MARVIN software panels,which can be later utilized to develop novel ***,for machine learning research,the program was validated by extracting 10,000 protein tertiary structures from the Protein Data *** a result,data collection from the web will become faster and less expensive,with no need for manual data *** software is critical as a first step to preparing large datasets for subsequent stages of analysis,such as those using machine and deep-learning applications.

关键词： Bioinformatics big data data extraction bot drug design

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A rare complication of a common disease: Bouveret syndrome, a case report

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World Journal of Gastroenterology 2006年第16期12卷 2620-2621页

作者： yazan Adnan Masannat Scott Caplin Tim Brown Department of General Surgery Morriston HospitalSwanseaWalesSA6 6NLUnited Kingdom

This is a case report of an 85-year old patient who presented with abdominal pain, nausea and vomiting associated with altered liver function test. The plain X-rays and CT scan showed pneumobilia with an ectopic *** patient was diagnosed with Bouveret syndrome and managed surgically. The report is followed by a discussion about Bouveret syndrome.

关键词： Bouveret syndrome Gall bladder Stone Fistula Gastric outlet obstruction

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